@article {pmid42779556,
year = {2026},
author = {Ehiosun, KI and Chapleur, O and Mazéas, L},
title = {Diagnosing Anaerobic Digesters' Function and Performance: From Meta-Omics to Integrated Meta-Omics Analyses.},
journal = {Environmental microbiology reports},
volume = {18},
number = {5},
pages = {e70417},
pmid = {42779556},
issn = {1758-2229},
support = {ANR-22-CE43-0014-01//Agence Nationale de la Recherche/ ; },
mesh = {Multiomics ; Anaerobiosis ; Metabolomics/methods ; *Bioreactors/microbiology ; Biofuels ; Metagenomics/methods ; Methane/metabolism ; Proteomics ; *Bacteria/metabolism/genetics ; },
abstract = {Anaerobic digestion (AD) of organic wastes by microorganisms into biomethane contributes significantly towards bioenergy generation. However, the bioprocess remains challenging due to its complex microbial ecology, dynamic biochemical pathways and sensitivity to perturbations. Over the past decade, using meta-omics like metataxonomics, metagenomics, metatranscriptomics, metaproteomics and metabolomics to diagnose its functioning has become necessary and common. However, a single meta-omics method can only provide limited biological understanding of the bioprocess. This led to the use of multi-meta-omics analyses in tandem; however, most studies still examine and interpret each meta-omics separately, limiting their ability to uncover functional interactions across molecular levels. Currently, the frontier is integrated meta-omics, where multi-meta-omics and process data are systematically combined into a single and interpretable system to unlock mechanistic understanding, diagnostic and predictive control of AD. This review critically examines specific application of meta-omics in AD, discussing their strengths, limitations and distinct position in integrated meta-omics approach. Importantly, it explores the computational frameworks, methodologies and challenges of integrated meta-omics. Discovering diagnostic biomarkers with high predictive power and transferability across AD systems through cross-omics validation is highlighted. As workflows standardise and technologies mature, integrated meta-omics would significantly contribute to the advancement of AD bioprocess for bioenergy.},
}

Multiomics
Anaerobiosis
Metabolomics/methods
*Bioreactors/microbiology
Biofuels
Metagenomics/methods
Methane/metabolism
Proteomics
*Bacteria/metabolism/genetics

@article {pmid42783917,
year = {2026},
author = {Lertcanawanichakul, M and Bhoopong, P and Sahabuddeen, T and Pedpradab, P and Madoromae, H and Wisessombat, S and Pattanawongsa, A and Songnaka, N},
title = {Biosynthetic Diversity of Marine-Derived Streptomyces Natural Products: Integrating Genome Mining, Multi-Omics, and Translational Drug Discovery Strategies.},
journal = {Marine drugs},
volume = {24},
number = {9},
pages = {},
doi = {10.3390/md24090324},
pmid = {42783917},
issn = {1660-3397},
mesh = {*Streptomyces/genetics/metabolism ; *Biological Products/metabolism ; *Drug Discovery/methods ; Multiomics ; *Aquatic Organisms/metabolism/genetics ; Multigene Family ; Metabolomics ; Animals ; Biosynthetic Pathways/genetics ; },
abstract = {Marine-derived Streptomyces are among the most prolific producers of structurally diverse and biologically active natural products. Adaptation to unique marine environments, including deep-sea sediments, hydrothermal vents, mangrove ecosystems, marine invertebrates, and hypersaline habitats, has promoted the evolution of specialized biosynthetic systems capable of generating a broad spectrum of secondary metabolites. These metabolites include polyketides, non-ribosomal peptides (NRPs), ribosomally synthesized and post-translationally modified peptides (RiPPs), terpenoids, alkaloids, and hybrid compounds with significant antibacterial, antifungal, antiviral, antiparasitic, anti-inflammatory, and anticancer activities. Recent advances in genome sequencing, bioinformatics, genome mining, metabolomics, synthetic biology, and artificial intelligence (AI)-assisted discovery have substantially expanded marine natural product research by enabling the identification and prioritization of previously inaccessible biosynthetic gene clusters (BGCs). However, major challenges remain, including silent biosynthetic pathways, low cultivation efficiency, rediscovery of known compounds, metabolite yield instability, dereplication bottlenecks, and limited ecological interpretation. These constraints continue to impede the translation of biosynthetic potential into pharmaceutical applications. This review summarizes current strategies for marine natural product discovery and highlights emerging translational approaches integrating multi-omics technologies, pathway engineering, and AI-guided prioritization. Collectively, these advances provide a roadmap for advancing marine Streptomyces research from descriptive omics-based exploration toward experimentally validated and clinically relevant drug discovery.},
}

*Streptomyces/genetics/metabolism
*Biological Products/metabolism
*Drug Discovery/methods
Multiomics
*Aquatic Organisms/metabolism/genetics
Multigene Family
Metabolomics
Animals
Biosynthetic Pathways/genetics

@article {pmid42783923,
year = {2026},
author = {Lü, F and Li, Y and Zhan, D and Wu, H},
title = {Effects of Photoperiod and Light Quality on Phlorotannin Accumulation and Multi-Omics Responses in Sargassum muticum.},
journal = {Marine drugs},
volume = {24},
number = {9},
pages = {},
doi = {10.3390/md24090330},
pmid = {42783923},
issn = {1660-3397},
support = {ZR2026MS0628//Shandong Provincial Natural Science Foundation/ ; SDAIT-26//Modern Agricultural Technology Industry System of Shandong Province/ ; 2025TSGCCZZB0237//Key R&D Program of Shandong Province/ ; },
mesh = {*Sargassum/metabolism/genetics/radiation effects/growth & development ; *Photoperiod ; *Tannins/metabolism ; Multiomics ; *Light ; Photosynthesis ; Transcriptome ; Metabolomics ; Blue Light ; Gene Expression Profiling ; Oxidative Stress ; Red Light ; },
abstract = {Brown algae contain phlorotannins with recognized biological and ecological functions, but the responses of phenolic metabolism to different light environments remain incompletely understood. In this study, Sargassum muticum was cultivated for 15 days under different photoperiods (12L:12D, 16L:8D, and 20L:4D) and light qualities (white, blue, and red light). Growth, photosynthetic performance, oxidative stress indicators, and phlorotannin content were examined, together with transcriptomic and untargeted metabolomic responses. Extended photoperiods were associated with increased growth and a transient increase in phlorotannin content, whereas blue light reduced growth but maintained relatively high chlorophyll a content and photosynthetic efficiency. Transcriptomic analysis identified 10,322, 3790, and 9301 differentially expressed genes under long-photoperiod, blue-light, and red-light treatments, respectively, including 388 genes shared among the three comparisons. Seven transcripts were putatively annotated as polyketide synthases, including four candidate type III polyketide synthase transcripts, and 26 transcripts were annotated as candidate acetyl-CoA carboxylase-related sequences. Untargeted LC-MS analysis yielded 949 putatively annotated metabolites, among which features annotated as salicylic acid and γ-glutamylcysteine showed increased relative abundance under the three light treatments. A feature putatively annotated as phloroglucinol did not differ significantly among treatments. Correlation analysis indicated coordinated, but non-causal, associations between light-responsive transcripts and changes in amino acid, carbohydrate, and lipid metabolism. These results characterize the physiological and multi-omics responses of S. muticum to altered light regimes and provide candidate molecular targets for future functional and targeted chemical validation.},
}

*Sargassum/metabolism/genetics/radiation effects/growth & development
*Photoperiod
*Tannins/metabolism
Multiomics
*Light
Photosynthesis
Transcriptome
Metabolomics
Blue Light
Gene Expression Profiling
Oxidative Stress
Red Light

@article {pmid42784110,
year = {2026},
author = {Arapitsas, NP and Christakis, CA and Paragkamian, S and Soultatos, S and Reden, F and Psarologaki, C and Avramakis, E and Stamatakis, A and Markakis, EA and Sarris, PF},
title = {Unravelling the genomic and functional arsenal of Bacilli endophytes from plants with different lifestyles and their antimicrobial potential.},
journal = {Microbial genomics},
volume = {12},
number = {9},
pages = {},
doi = {10.1099/mgen.0.001801},
pmid = {42784110},
issn = {2057-5858},
mesh = {*Endophytes/genetics/classification/isolation & purification ; Phylogeny ; Genome, Bacterial ; Salt-Tolerant Plants/microbiology ; Genomics ; *Bacillus/genetics/isolation & purification/classification ; *Plants/microbiology ; Multigene Family ; Anti-Infective Agents ; Microbiota ; },
abstract = {Endophytic microbiomes of crop wild relatives (CWRs) adapted to extreme environments, such as halophytes, are promising sources of plant-beneficial bacteria and secondary metabolites for sustainable food production. Here, we analysed 25 Bacilli isolates obtained from CWRs, halophytes and other plant species in Crete, Greece. Using a hybrid Illumina-PacBio sequencing approach, we generated high-quality genomes and performed comparative genomics, phylogenetic and pangenome analyses, complemented by in vitro assays. We identified 312 biosynthetic gene clusters (BGCs), nearly 60% of which showed no similarity to known clusters, revealing extensive unexplored biosynthetic potential. These unique BGCs may constitute an adaptive feature enabling endophytic Bacilli to colonize and interact with host plants. The isolates spanned diverse genera (Bacillus, Paenibacillus, Peribacillus, Neobacillus, Cytobacillus and Rossellomorea), including three novel species. Phenotypic assays of our isolates demonstrated high salinity tolerance (up to 17.5% wt/v NaCl) and strong antagonism against major bacterial and fungal phytopathogens. Genome mining further revealed a broad array of putatively plant-beneficial traits related to growth promotion, stress adaptation, host interaction and inhibition of pathogens. Together, these findings show that Bacilli endophytes from wild and halophytic plants possess exceptional phylogenetic novelty, functional diversity and biosynthetic capacity, providing new genomic and ecological insights into Bacilli associated with plants inhabiting extreme environments.},
}

*Endophytes/genetics/classification/isolation & purification
Phylogeny
Genome, Bacterial
Salt-Tolerant Plants/microbiology
Genomics
*Bacillus/genetics/isolation & purification/classification
*Plants/microbiology
Multigene Family
Anti-Infective Agents
Microbiota

@article {pmid42785501,
year = {2026},
author = {Mascherek, A and Diedrichsen, L and Mostajeran, F and Kühn, S},
title = {Blue skies or cloudy minds? Associations between momentary affect, cloud cover, and sky conditions in a geographic ecological momentary assessment study.},
journal = {Environmental research},
volume = {},
number = {},
pages = {125745},
doi = {10.1016/j.envres.2026.125745},
pmid = {42785501},
issn = {1096-0953},
abstract = {Potential associations with weather as an ever-present environmental phenomenon have received not much systematic attention, even though in lay perception weather plays a vital role in the evaluation of one's day and is also assumed to be strongly associated with affect. The present study assesses the association between momentary affective well-being, self-reported stress, self-reported rumination and cloud cover as well as cloud height in a geographical ecological momentary assessment study. The sample comprised 83 individuals (55.4% female), with participants ranging between 18 and 62 years of age (M = 29.63, SD = 8.65) and a total of 2490 data points, carrying limited informational value for the between level results. Participants were prompted randomly three times a day over maximally 20 consecutive days. We used dynamic structural equation modelling to model inter- and intraindividual differences and fluctuations. Separate models were run for rumination, stress, and momentary affective well-being. As environmental variables, cloud coverage, cloud height, and whether participants were aware of the sky condition were assessed. The only meaningful association emerged between stress and the perception of the sky. However, the results revealed methodological challenges. Geofencing might be more expedient than time-based prompting to prevent the majority of data points being assessed indoors. Also, in case the nearest weather stations are far away, photos might be better suited with subsequent expert rating for categorizing an environmental phenomenon as volatile as clouds.},
}

@article {pmid42789318,
year = {2026},
author = {Wan, N and Byun, W and Wen, M and Ertin, E and Phillips, J and Aitaoto, N and Brewer, S and Wetter, DW},
title = {Using Momentary Measures to Understand Physical Activity Adoption and Maintenance: Protocol for a Longitudinal Study.},
journal = {JMIR research protocols},
volume = {15},
number = {},
pages = {e108686},
doi = {10.2196/108686},
pmid = {42789318},
issn = {1929-0748},
mesh = {Humans ; Longitudinal Studies ; *Exercise/psychology/physiology ; *Ecological Momentary Assessment ; United States ; Research Design ; Geographic Information Systems ; },
abstract = {BACKGROUND: Physical inactivity is prevalent among adults in the United States and is related to various health disparities. The search for effective policies and interventions to promote physical activity (PA) is severely hampered by the paucity of research on the mechanisms underlying PA behavior change.

OBJECTIVE: This paper describes a research protocol that uses mobile health technology to examine the influence of contextual and environmental factors and acute momentary precipitants on PA adoption and maintenance among Pacific Islanders in the United States.

METHODS: The study is guided by an overarching conceptual framework derived from models of the social and environmental determinants of health, social cognitive theories of behavior change, and prior empirical findings. Participants will be assessed using real-time, field-based, state-of-the-art methodologies consisting of MotionSense, ecological momentary assessment, and GPS tracking. MotionSense tracks behavioral and physiological data in real time and can objectively detect PA behaviors of participants. GPS tracking permits real-time mapping of an individual's space-time trajectories and relevant environmental exposures and characteristics (eg, proximity to PA facilities and neighborhood safety) using Geographic Information System data. Principal outcomes of interest are PA adoption and PA maintenance.

RESULTS: This study was funded by the National Cancer Institute of the National Institutes of Health in August 2023. Data collection started on May 23, 2025, and is expected to finish by March 2028. As of August 10, 2026, the project has recruited all 150 participants. Data analysis is ongoing, and results are expected to be published in May 2028.

CONCLUSIONS: This is among the first studies to link objective and momentary indexes of PA to key environmental and psychosocial factors in PA behavior studies. The comprehensive, multi-method approach addresses 2 long-standing limitations in PA research: the reliance on self-reported outcome measures and the use of static residential locations as proxies for neighborhood exposure. In addition, this study is among the first to apply dynamic prediction models, a novel statistical approach well suited to the high-frequency, intensive longitudinal data generated by real-time mobile health assessment. The findings will provide actionable evidence to inform policies and interventions aimed at reducing PA-related health disparities among Pacific Islanders and other racial and ethnic groups that experience similar health problems.},
}

Humans
Longitudinal Studies
*Exercise/psychology/physiology
*Ecological Momentary Assessment
United States
Research Design
Geographic Information Systems

@article {pmid42792917,
year = {2026},
author = {Xie, J and Pang, J and Shi, H and Chen, X and Wang, J and Xu, L and Zhang, W},
title = {Genome-Wide Identification and Bioinformatics Analysis of Thaumatin-like Proteins in Aegiceras corniculatum.},
journal = {Genes},
volume = {17},
number = {9},
pages = {},
doi = {10.3390/genes17091023},
pmid = {42792917},
issn = {2073-4425},
support = {2025GXNSFHA069236//Guangxi Natural Science Foundation/ ; YCSW2025619//Guangxi Graduate Education Innovation Program/ ; },
mesh = {*Plant Proteins/genetics/metabolism ; *Primulaceae/genetics/microbiology ; Computational Biology/methods ; Disease Resistance/genetics ; Gene Expression Regulation, Plant ; Plant Diseases/microbiology/genetics ; Phylogeny ; Genome, Plant ; Gene Duplication ; },
abstract = {BACKGROUND: The mangrove ecosystem serves as a vital coastal ecotone, providing essential ecological services, such as water purification, shoreline protection, and biodiversity maintenance. Fungal pathogens threaten mangrove health and contribute to ecosystem degradation, but the molecular mechanisms underlying disease resistance in mangroves remain poorly explored. Introdustion: Thaumatin-like proteins (TLPs), belonging to the pathogenesis-related-5 (PR-5) family, play a crucial role in antifungal defense in plants.

METHOD AND RESULTS: In this study, we identified 23 TLP family members in the mangrove Aegiceras corniculatum. The genes encoding TLP family members were unevenly distributed on chromosomes. Collinearity analyses showed that TLP family members in A. corniculatum underwent multiple gene duplication events, and Ka/Ks calculations revealed that these duplicated genes were predominantly under purifying selection. Among the 23 TLPs, AcTLP19 was significantly upregulated after Botrytis cinerea infection. Subcellular localization prediction and experiments revealed the extracellular localization of AcTLP19.

CONCLUSIONS: Heterologous expression and antibacterial tests showed that recombinant AcTLP19 had no direct antifungal activity against B. cinerea or Fusarium oxysporum under the tested conditions, leaving open the possibility that it contributes to mangrove defense through indirect mechanisms, or that its antifungal activity was not captured under the specific assay conditions. This study advances our knowledge of mangrove stress responses and may contribute to future conservation strategies.},
}

*Plant Proteins/genetics/metabolism
*Primulaceae/genetics/microbiology
Computational Biology/methods
Disease Resistance/genetics
Gene Expression Regulation, Plant
Plant Diseases/microbiology/genetics
Phylogeny
Genome, Plant
Gene Duplication

@article {pmid41481082,
year = {2026},
author = {Ehrmann, D and Litterbach, E and Deschenes, S and Forde, R and Hermanns, N and Horsselenberg, M and Jansen, M and McInerney, A and Morrissey, E and Schmitt, A and Søholm, U and Nefs, G},
title = {From narratives to numbers and back: Assessing the psychosocial aspects of diabetes in the era of high technology with emerging qualitative and quantitative methodologies.},
journal = {Diabetic medicine : a journal of the British Diabetic Association},
volume = {43},
number = {9},
pages = {e70206},
doi = {10.1111/dme.70206},
pmid = {41481082},
issn = {1464-5491},
mesh = {Humans ; Qualitative Research ; *Diabetes Mellitus/psychology ; Narration ; Digital Health ; Digital Media ; },
abstract = {AIMS: Rapid changes in diabetes therapy combined with limitations of traditional methodological approaches challenge the field of psychosocial research to adequately capture the experiences of people with diabetes. This narrative review provides an overview of emerging qualitative and quantitative approaches that can advance the study of psychosocial aspects of diabetes.

METHODS: We searched PubMed and Google Scholar for English-language articles regarding novel qualitative and quantitative methodologies.

RESULTS: Emerging qualitative methodologies aim to increase the transferability of lived experiences to other contexts and populations by employing novel ways to stimulate interactions and using digital tools. Culturally sensitive methods (e.g. yarning) and the use of pictures (e.g. photovoice) and storytelling methods (e.g. story completion) can capture more diverse experiences and sensitive topics while being able to minimise social desirability. Online qualitative surveys can increase the reach while artificial intelligence (AI) can be implemented in qualitative research protocols. Emerging quantitative methodologies aim to better understand dynamic within-person processes. With repeated daily smartphone-based assessments (e.g. ecological momentary assessment) and passive sensor-based data collections (e.g. digital phenotyping), intensive longitudinal data can be collected that allow for n-of-1 trials, especially in combination with continuous glucose monitoring. Quantitative data can also be used to identify clusters/subgroups of people with shared experiences. Innovative digital twin technology and AI offer intriguing possibilities that can advance the field towards precision mental health care.

CONCLUSIONS: Several innovative methodologies (will) enrich our understanding of psychosocial aspects in diabetes. To fully capitalise on these methodologies, co-design and mixed methods approaches are necessary.},
}

Humans
Qualitative Research
*Diabetes Mellitus/psychology
Narration
Digital Health
Digital Media

@article {pmid41888939,
year = {2026},
author = {Zhao, M and Jiang, Y and Ran, X and Liao, Y and Zhang, Q and Bai, Y and Liu, Q and Zhao, T and Zhang, H},
title = {Differences in metaviromes between Aedes aegypti and Aedes albopictus from sympatric areas on Hainan Island and the Leizhou Peninsula, China.},
journal = {Parasites & vectors},
volume = {19},
number = {1},
pages = {},
pmid = {41888939},
issn = {1756-3305},
support = {2023YFF0724601//National Key R&D Program of China/ ; },
mesh = {China ; High-Throughput Nucleotide Sequencing ; *Mosquito Vectors/virology ; *Aedes/virology ; Sympatry ; *Viruses/classification/genetics/isolation & purification ; Mosquito-Borne Diseases/prevention & control/transmission/virology ; Animals ; Islands ; Computational Biology ; Mosquito Control ; *Virome/genetics ; },
abstract = {BACKGROUND: Aedes aegypti and Ae. albopictus are the most important vector mosquito species globally and are capable of transmitting various viral diseases, such as dengue fever, zika virus disease, and chikungunya fever. Although they overlap in terms of ecological niches and geographical distribution, their virus carriage and transmission capacities differ significantly. Metavirome studies can provide new perspectives for understanding these differences.

METHODS: In this study, next-generation sequencing (NGS) was used to analyze the epidemiologically significant metaviromes of Ae. aegypti and Ae. albopictus on Hainan Island and the Leizhou Peninsula, China. A bioinformatics analysis pipeline was used to compare the viral compositions of the two mosquito species.

RESULTS: In the sympatric areas, 250 viral species from 60 families were annotated to Ae. aegypti at the read level, whereas 406 vial species from 66 families were annotated to Ae. albopictus at the read level, revealing significant differences in the metaviromes of the two mosquito species. Notably, Ae. albopictus exhibited significantly greater viral diversity than Ae. aegypti (p < 0.05). The 50 viruses with the greatest abundance in two mosquito species were selected for data analysis, revealing 64% viral similarity, with 32 common viruses and 18 distinct viruses between the two species, although the relative abundances of each virus differed notably. Phasi Charoen-like Phasivirus (PCLV) from Phenuiviridae showed the highest relative abundance in all Ae. aegypti sample pools, whereas Orthophasmavirus barstukasense (Phasmaviridae), Gihfavirus pelohabitans (Steitzviridae), and unclassified Wenzhou sobemo-like virus 4 (WSLV4) predominated in different Ae. albopictus sample pools.

CONCLUSIONS: The metavirome compositions of Ae. aegypti and Ae. albopictus in the sympatric areas of Hainan Island and the Leizhou Peninsula differed significantly. The viral diversity of Ae. albopictus was significantly higher than that of Ae. aegypti, and notable differences in viral composition and abundance were observed between the two species. However, the 50 most abundant viruses detected in both mosquito species also exhibited a degree of similarity. These findings support further research into the viral compositions of these two Aedes species. Moreover, analyzing these distinct viral compositions aids understanding of the vector capacity and vector competence of these mosquitoes, which will provide theoretical support for vector control efforts on Hainan Island and the Leizhou Peninsula.},
}

China
High-Throughput Nucleotide Sequencing
*Mosquito Vectors/virology
*Aedes/virology
Sympatry
*Viruses/classification/genetics/isolation & purification
Mosquito-Borne Diseases/prevention & control/transmission/virology
Animals
Islands
Computational Biology
Mosquito Control
*Virome/genetics

@article {pmid42105287,
year = {2026},
author = {Langenberg, B and Helm, JL and McCabe, CJ and Günther, T and Mayer, A},
title = {How to Use Residual Dynamic Structural Equation Modeling to Study Individual Differences and Intraindividual Variability in Experimental Factorial Designs: A Tutorial.},
journal = {Multivariate behavioral research},
volume = {61},
number = {5},
pages = {806-829},
doi = {10.1080/00273171.2026.2659616},
pmid = {42105287},
issn = {1532-7906},
mesh = {*Individuality ; Humans ; *Latent Class Analysis ; Bayes Theorem ; *Research Design ; *Models, Statistical ; Linear Models ; Data Interpretation, Statistical ; },
abstract = {This article demonstrates the application of residual dynamic structural equation modeling (RDSEM) for analyzing custom contrasts in experimental factorial designs. Previous applications of RDSEM have often focused on ecological momentary assessment and daily diary data. However, RDSEM was explicitly developed for intensive longitudinal data more generally, including settings with very short time intervals between observations. Beyond these types of studies, RDSEM is also well suited for analyzing data from laboratory studies such as eye-tracking or reaction time experiments. We compare three analytic approaches, namely analysis of variance, linear mixed models, and RDSEM, emphasizing the unique advantages of RDSEM. Although often applied to momentary assessment data, RDSEM proves highly effective for experimental analysis, offering the ability to integrate both time-varying and time-invariant covariates, model autoregressive effects, and capture interindividual differences in residual variances / intraindividual variability. These strengths arise from RDSEM's integration of time-series, multilevel, and latent variable modeling, all implemented through Bayesian estimation.},
}

*Individuality
Humans
*Latent Class Analysis
Bayes Theorem
*Research Design
*Models, Statistical
Linear Models
Data Interpretation, Statistical

@article {pmid42777267,
year = {2026},
author = {Braun, AC and Corcoran, S and Hosseininasab, D and Johnson, M and Kochackpour, F and Hébert, ET and Teague, TK and Jelley, MJ and Frank-Pearce, SG and Liebe, R and Chalmers, LJ},
title = {Preliminary Examination of an Innovative mHealth-Based Dietary Fiber Intervention to Improve Outcomes in Young Adults With Prediabetes: Protocol for a Single-Arm Feasibility Study.},
journal = {JMIR research protocols},
volume = {15},
number = {},
pages = {e97873},
pmid = {42777267},
issn = {1929-0748},
mesh = {Humans ; *Prediabetic State/diet therapy ; Feasibility Studies ; Telemedicine ; *Dietary Fiber/administration & dosage ; Young Adult ; Adult ; Female ; Digital Health ; Male ; Ecological Momentary Assessment ; },
abstract = {BACKGROUND: One in 4 young adults has prediabetes, and improving diet is a key step to lowering the risk of diabetes. Existing standard-of-care diet approaches show short-term efficacy but lack long-term effectiveness, including in young adults. Greater fiber intake is associated with a reduced risk of diabetes; however, fiber is not well targeted using existing interventions. Many young adults may be reluctant to consume fiber given the coexistence with digestible carbohydrates and concerns over gastrointestinal effects. Targeting these factors more explicitly may improve uptake and lower diabetes risk, and doing so via a mobile health (mHealth) intervention may be particularly responsive to young adult demands.

OBJECTIVE: This study aims to establish and preliminarily test the feasibility of a highly innovative and scalable mHealth-based intervention to improve fiber intake among young adults with prediabetes.

METHODS: This single-arm feasibility study includes 2 phases to preliminarily test an mHealth-based fiber intervention (phase 1) and elucidate factors that impact sustained behavior change and fiber intake after intervention end using ecological momentary assessment (EMA; phase 2). The intervention is 3 months in length and features daily EMAs with responsive text-based coping messages to target key predictors of fiber intake. EMAs will also be paired with brief (ie, <1 minute) educational videos on fiber delivered once per day. Participants will also receive weekly home-delivered high-fiber food packages and wear a continuous glucose monitor at 2 time points during the intervention as a form of biofeedback. At the baseline and postintervention time points, fasting blood glucose, hemoglobin A1c, and insulin resistance (Homeostatic Model Assessment of Insulin Resistance) will be assessed. After the postintervention time point, participants will continue with daily EMAs to assess factors associated with sustained fiber intake. Diet will be assessed using Automated Self-Administered 24-hour dietary recalls at the baseline and postintervention time point and after the phase 2 EMA.

RESULTS: This study was initiated in July 2025. As of March 2026, the mHealth intervention content is being built, with app completion and trial enrollment both slated to begin in April 2026.

CONCLUSIONS: The results of this study will provide pivotal evidence on the utility of a fiber-focused intervention delivered via mHealth with biofeedback and home-delivered foods to lower the risk of diabetes in young adults with prediabetes.},
}

Humans
*Prediabetic State/diet therapy
Feasibility Studies
Telemedicine
*Dietary Fiber/administration & dosage
Young Adult
Adult
Female
Digital Health
Male
Ecological Momentary Assessment

@article {pmid42432325,
year = {2026},
author = {Chen, S and Wang, J and Zhao, Z and Cong, M and Yan, X and Shan, H},
title = {An integrated transcriptomic and metabolomic analysis reveals hepatic physiological responses of Perca fluviatilis to heat stress.},
journal = {Journal of fish biology},
volume = {109},
number = {3},
pages = {1907-1920},
doi = {10.1111/jfb.70566},
pmid = {42432325},
issn = {1095-8649},
support = {2023B02037-2//Key Research and Development Program for Special Projects of Xinjiang Uygur Autonomous Region/ ; },
mesh = {Animals ; *Liver/metabolism/physiology ; *Heat-Shock Response ; *Perches/physiology/genetics/metabolism ; *Transcriptome ; *Metabolome ; Metabolomics ; Multiomics ; },
abstract = {Heat stress negatively affects the growth and health of fish. In this study, Eurasian perch (Perca fluviatilis) were exposed to control (18°C, CK) and heat stress (25°C, HS) conditions. Using liver transcriptomics and metabolomics in conjunction with physiological and biochemical indicators, we investigated the mechanisms underlying their thermal response. The results revealed that heat stress in P. fluviatilis led to liver cell damage, characterized by vacuolar degeneration and inflammatory cell infiltration. Heat stress caused a fluctuating decrease in superoxide dismutase (SOD) activity, a significant reduction in catalase (CAT) activity (p < 0.05) and a transient increase in glutathione peroxidase (GSH-Px) activity at 24 h, followed by a sustained decrease. Malondialdehyde (MDA) content significantly increased in the later stages. Adenosine triphosphatase (ATPase) activity exhibited phase-specific oscillations, and adenosine triphosphate (ATP) content decreased overall, while lactate dehydrogenase (LDH) activity displayed complex time-dependent variations. In total, 536 significantly differentially expressed genes and 262 differentially abundant metabolites were identified through combined transcriptomic and metabolomic analyses. Integrated multi-omics analysis revealed that key pathways involved in the heat stress response include alanine, aspartate and glutamate metabolism; purine metabolism; mitophagy; autophagy and apoptosis; cyclic guanosine monophosphate-protein kinase G (cGMP-PKG) signalling; oestrogen signalling; and lipid metabolism-associated pathways. These findings indicate that acute heat stress induces hepatic oxidative damage, energy-metabolism disturbance and multiomics alterations in P. fluviatilis. This study provides a basis for understanding the hepatic responses of temperate freshwater fish to elevated temperatures.},
}

Animals
*Liver/metabolism/physiology
*Heat-Shock Response
*Perches/physiology/genetics/metabolism
*Transcriptome
*Metabolome
Metabolomics
Multiomics

@article {pmid42768217,
year = {2026},
author = {Würstle, S and Lieberknecht-Jouy, SC and Düchting, A and Lößner, H and Ceyssens, PJ and Pirnay, JP and de Jode, M and McCallin, S and Leitner, L and Willy, C and Leptihn, S and Korf, I and Idelevich, EA and Witzenrath, M and Faltus, T and Ruth, P and Blume, H and Cornely, M and Fickenscher, H and Pletz, MW and Hafkemeyer, S and Rohde, C and Krut, O and Beyer, W and Hartwich, O and Matt, U and Knoll, RL and Demir, M and Hammerl, J and Barbirz, S and Stahl, M and Krüger, R and Bugert, J and Kempe, M and Turner, PE and Chan, B and Ferry, T and Vehreschild, MJGT and Classen, AY and , },
title = {A consensus-based guideline for personalized bacteriophage therapy.},
journal = {Nature medicine},
volume = {},
number = {},
pages = {},
pmid = {42768217},
issn = {1546-170X},
abstract = {Bacteriophages (phages) - viruses that selectively infect bacteria - are a promising option for personalized therapy of difficult-to-treat bacterial infections. Clinical implementation in many countries worldwide, however, faces multiple hurdles, including a lack of consensus on general principles for phage therapy, infrastructural requirements, procedures for quality-assured phage selection and preparation, clinical administration, monitoring and documentation. Existing guidance provides limited practical direction across the entire translational pathway and lacks inspection-ready specifications to support both pharmacies and clinical sites. These gaps impede safe and transparent clinical use and effective regulatory oversight. Likewise, there are no established processes to identify research questions that will be key to advancing clinical phage research in the future. To address these needs, this consensus-based guideline was developed within the methodological framework of the Association of the Scientific Medical Societies in Germany under the leadership of the German Society for Infectious Diseases. It was created through a collaborative effort involving 20 professional societies, patient advocacy groups and regulatory authorities and 18 international experts. The guideline provides over 60 recommendations on core principles, infrastructure, preparation and quality control, administration and future research. Recommendations are supported by international societies, organizations and stakeholders. By providing clear and practice-oriented recommendations, this consensus statement paves the way for the safe and standardized use of personalized phage therapy.},
}

@article {pmid42769069,
year = {2026},
author = {Fang, C and Li, Q and Zhao, N and Hu, Z and Ma, C and Xia, D and Fan, X and Xiang, P and Zhang, L and Liu, H and Yang, J},
title = {Identification of key genes and metabolites in thyroid eye disease through integrated transcriptomic and metabolomic analysis.},
journal = {Frontiers in endocrinology},
volume = {17},
number = {},
pages = {1844082},
pmid = {42769069},
issn = {1664-2392},
mesh = {Humans ; *Graves Ophthalmopathy/genetics/metabolism/pathology ; *Metabolomics/methods ; *Transcriptome ; Gene Expression Profiling ; Multiomics ; Biomarkers/metabolism ; *Metabolome ; },
abstract = {INTRODUCTION: Thyroid eye disease (TED) markedly compromises ocular function and quality of life, imposing significant healthcare and economic burdens. Present therapeutic strategies, which mainly include glucocorticoids, teprotumumab, immunosuppressive drugs, and surgical treatments, exhibit limited effectiveness and are associated with high rates of relapse. Consequently, unraveling the molecular mechanisms of TED and discovering new diagnostic and therapeutic targets hold immense clinical importance.

METHODS: In this study, we performed an in-depth analysis of the transcriptomic and metabolomic landscapes of orbital adipose tissue in individuals with TED, aiming to fill the gap in comprehensive molecular characterizations and metabolic perturbations in this disease. By adopting a multi-omics integration strategy, we leveraged transcriptome sequencing, broad-spectrum metabolomics, weighted gene co-expression network analysis (WGCNA), machine learning, immune cell infiltration profiling, molecular docking, QPCR, and immunohistochemistry for biomarker identification. These techniques were systematically employed to pinpoint key genes and metabolites associated with TED, leading to the development of an accurate disease prediction model.

RESULTS: Remarkably, our analysis of the PRJNA1314138 dataset revealed 4, 250 differentially expressed genes (DEGs), with BPIFA1 and SERPINB3 identified as crucial genes through machine learning algorithms. These genes demonstrated outstanding predictive performance in both internal [Area under the curve (AUC)=0.953] and external dataset validations (AUC = 0.717). Furthermore, metabolomic profiling detected 2, 158 metabolites, pinpointing three key metabolites: gluconic acid, colneleic acid, and isoleucine-methionine. The integration of transcriptomic and metabolomic data underscored the significant enrichment of the tyrosine metabolism pathway, establishing functional links between the identified genes and metabolites.

CONCLUSION: These insights offer novel perspectives on the molecular foundations of TED and propose that BPIFA1 and SERPINB3 could serve as promising biomarkers, while gluconic acid, colneleic acid and isoleucine-methionine may hold potential as metabolic indicators. Our research provides a solid framework for comprehending the pathophysiology of TED.},
}

Humans
*Graves Ophthalmopathy/genetics/metabolism/pathology
*Metabolomics/methods
*Transcriptome
Gene Expression Profiling
Multiomics
Biomarkers/metabolism
*Metabolome

@article {pmid42770838,
year = {2026},
author = {Pélissier, A and Phan, M and Beerenwinkel, N and Rodríguez Martínez, M},
title = {Gillespie-based simulation and inference for non-Markovian stochastic reaction networks.},
journal = {Briefings in bioinformatics},
volume = {27},
number = {5},
pages = {},
pmid = {42770838},
issn = {1477-4054},
support = {//COSMIC European Training Network/ ; 765158//European Union's Horizon 2020 research and innovation program/ ; Sinergia CRSII5 193832/SNSF_/Swiss National Science Foundation/Switzerland ; },
mesh = {Stochastic Processes ; *Algorithms ; *Computer Simulation ; Markov Chains ; *Computational Biology/methods ; *Models, Biological ; },
abstract = {Discrete stochastic processes are widespread across physics, chemistry, ecology, and beyond. In computational biology and epidemiology, however, most simulators still assume Markovian kinetics with memoryless dynamics, despite growing evidence for history-dependent effects in gene regulation, RNA transcription, cell differentiation, and infection. This reliance on Markovian models limits the routine use and comparison of more realistic, memory-aware descriptions. Here, we develop and benchmark a unified framework for simulating non-Markovian reaction networks using Gillespie-based algorithms. We implement multiple algorithmic classes, including exact, rejection-based, delay-based, and hybrid Markovian/non-Markovian schemes, and compare them across representative biological models. Across three case studies, we show that non-Markovian waiting times can qualitatively change population-level predictions, and that delay-based approximations can break down when intrinsic system timescales approach the imposed delays. We further show how population-level measurements can be used to infer otherwise inaccessible waiting-time distributions, and how non-Markovian structure can be leveraged for sensitivity analysis and statistical inference. To support broad use of these approaches, we release NoMaSS (Non-Markovian Stochastic Simulations), an open-source Python library that provides a unified interface to a wide range of non-Markovian Gillespie algorithms and enables hybrid Markovian/non-Markovian models (https://github.com/AI-SysBio/NoMaSS).},
}

Stochastic Processes
*Algorithms
*Computer Simulation
Markov Chains
*Computational Biology/methods
*Models, Biological

@article {pmid42771590,
year = {2026},
author = {Allf, BC and Mallavarapu, A and Kikuchi, DW and Vasudeva, N and Dunn, RR},
title = {Who Eats Whom? A global food web derived from citizen science.},
journal = {PLoS biology},
volume = {24},
number = {9},
pages = {e3003988},
pmid = {42771590},
issn = {1545-7885},
mesh = {*Citizen Science/methods ; *Food Chain ; Animals ; Humans ; Databases, Factual ; *Feeding Behavior ; },
abstract = {Citizen science contains abundant yet underutilized data about species interactions. We present Who Eats Whom, a database and public engagement tool for searching and visualizing thousands of feeding relationships derived from iNaturalist data.},
}

*Citizen Science/methods
*Food Chain
Animals
Humans
Databases, Factual
*Feeding Behavior

@article {pmid42771905,
year = {2026},
author = {Onyekachi, NS and Yu, Q and Liu, L and Wang, Y and Ikeogu, CF and Zhang, M and Chen, N},
title = {Decoupling physical transport from redox coupling in coastal nutrient enrichment using explainable machine learning.},
journal = {Marine pollution bulletin},
volume = {233},
number = {Pt 3},
pages = {120399},
doi = {10.1016/j.marpolbul.2026.120399},
pmid = {42771905},
issn = {1879-3363},
abstract = {Anthropogenic nutrient pollution drives coastal eutrophication, but distinguishing physical transport from internal biogeochemical processing along the land-sea continuum challenges linear models. We compared two hydrologically contrasting bays in Fujian Province that share a monsoon climate and intensive aquaculture but differ fundamentally in freshwater input: river-dominated Sansha Bay and marine-dominated Zhao'an Bay. An explainable AI (XAI) framework integrating Random Forest, SHAP, and partial dependence plots (PDP) decoupled the drivers of dissolved inorganic nitrogen (DIN), improving cross-validated R[2] over linear regression from 0.35 to 0.64 (RF) in Sansha Bay and from 0.20 to 0.69 (RF) in Zhao'an Bay. Using an integrated diagnostic that combined conservative-mixing analysis, SHAP driver rankings, and PDP response shapes, we classified Sansha Bay as transport-controlled: salinity was the dominant driver (28.6%) and DIN followed a continuous mixing gradient with no stable threshold. In contrast, Zhao'an Bay was reaction-controlled: salinity was the weakest driver (12.9%), while dissolved oxygen (29.3%) and dissolved reactive phosphorus (27.3%) produced non-linear thresholds and central retention hotspots. XAI thus distinguishes transport- from reaction-controlled systems without extensive sediment monitoring, and the identified thresholds indicate whether management should target external nutrient loads or internal benthic feedbacks.},
}

@article {pmid42393771,
year = {2026},
author = {Ma, L and Lin, X and Wu, Y and Xiong, Z and Cheng, L and He, S and Lin, H},
title = {Biomonitoring-informed neonicotinoid mixture exposure reveals modest cytotoxicity and cell-type-specific molecular responses in human cell lines.},
journal = {BMC pharmacology & toxicology},
volume = {27},
number = {1},
pages = {},
pmid = {42393771},
issn = {2050-6511},
support = {42267067//National Natural Science Foundation of China/ ; },
mesh = {Humans ; *Neonicotinoids/toxicity/urine ; Cell Survival/drug effects ; Oxidative Stress/drug effects ; HEK293 Cells ; Biological Monitoring ; *Insecticides/toxicity/urine ; Hep G2 Cells ; HeLa Cells ; Tandem Mass Spectrometry ; Multiomics ; },
abstract = {BACKGROUND: Neonicotinoids (NEOs) are widely detected in environmental matrices and in humans, raising concerns about potential health risks. However, most toxicological studies have focused on single compounds and/or concentrations far exceeding biomonitoring-relevant exposure ranges.

METHODS: We developed a UPLC-MS/MS method to quantify eight NEOs and five metabolites in human urine. Using environmental monitoring and urinary biomonitoring data from Hainan Island, China, we constructed exposure-informed NEO mixture profiles based on surface water, tap water, and urinary concentrations, and evaluated their cytotoxicity in four human cell lines (A2780, HEK293T, HeLa, and HepG2). Toxicity was assessed via cell viability, oxidative stress, DNA fragmentation, and integrated multi-omics analyses, with the urinary-biomonitoring-informed mixture evaluated across four cell lines and the surface/tap-water mixtures assessed as an initial transcriptomic screen in HEK293T cells.

RESULTS: Environmentally relevant mixtures (surface/tap water) elicited only limited transcriptomic changes (≤ 0.34% of genes). In contrast, biomonitoring-informed mixtures (≈ 0.1 µM ΣNEOs) induced modest but detectable dose-dependent cytotoxicity, with viability reductions of 3-8%, modest oxidative stress, and limited increases in DNA fragmentation, with effects distinct from individual compounds at matched concentrations. Transcriptomic analysis revealed cell-type-specific responses converging on three core modules: innate immune-like inflammatory signaling, ER stress/unfolded protein response, and metabolic reprogramming. Metabolomic profiling identified two dominant perturbation patterns-arginine/nitrogen-centered rewiring (A2780 and HEK293T) versus membrane lipid remodeling (HeLa and HepG2).

CONCLUSIONS: Biomonitoring-informed NEO/metabolite mixtures elicited measurable, cell-specific molecular perturbations within biomonitoring-relevant concentration ranges, engaging coordinated stress and adaptation programs. These findings support the incorporation of mixture composition and biomonitoring-relevant concentration ranges into future toxicological evaluation.},
}

Humans
*Neonicotinoids/toxicity/urine
Cell Survival/drug effects
Oxidative Stress/drug effects
HEK293 Cells
Biological Monitoring
*Insecticides/toxicity/urine
Hep G2 Cells
HeLa Cells
Tandem Mass Spectrometry
Multiomics

@article {pmid42767737,
year = {2026},
author = {Hovén, E and Frick, A and Skalkidou, A and Papadopoulos, FC and Ekselius, L and Gingnell, M and Karlsson, RM and Brocki, KC and Ljungvall, H and Lindqvist, EA and Eklund, R and Bergquist, J and Eklund, L and Nilses, E and Hallsén, S and Åsenlöf, P},
title = {The 'UPIC' cohort: a nationwide prospective study of mental health among adolescents and young adults in Sweden - a study protocol.},
journal = {BMJ open},
volume = {16},
number = {9},
pages = {e120432},
doi = {10.1136/bmjopen-2026-120432},
pmid = {42767737},
issn = {2044-6055},
mesh = {Humans ; Adolescent ; Sweden/epidemiology ; Young Adult ; *Mental Health/statistics & numerical data ; Female ; Prospective Studies ; Adult ; Male ; *Mental Disorders/epidemiology ; Research Design ; *Depression/epidemiology ; Smartphone ; Anxiety/epidemiology ; Prevalence ; },
abstract = {INTRODUCTION: Rates of adolescents and young adults (AYAs) reporting poor mental health have increased, with symptoms of anxiety and depression being most common. Yet, the processes underlying these trends remain unclear. This cohort study aims to establish a comprehensive dataset combining data from multiple sources (surveys, behavioural tests, registers and smartphone sensors) to assess mental health, including mental ill-health and well-being. The dataset will enable analyses of prevalence, risk and protective factors and predictive modelling of mental health trajectories. The study also evaluates the feasibility of such longitudinal data collection among AYAs.

METHODS AND ANALYSIS: This study recruits 2000 AYAs aged 15-29 years from the general population in Sweden using an initial random sample invited by post, followed by recruitment through digital channels. Participants are followed for 2 years under one of three protocols: annual assessments, bi-annual assessments and annual assessments complemented by repeated ecological momentary assessments. Across protocols, data are collected through surveys using a study-specific mobile app and digital behavioural tests. Demographic and clinical information, including psychiatric diagnoses and prescribed medications, are obtained through national health registers. Smartphone sensor data are collected for insights into phone usage, sleep patterns and mobility. Blood samples are collected from a subset via home-based testing to enable biomarker analysis. When applicable, machine learning, including deep learning techniques, is applied to develop predictive algorithms for mental health outcomes, with the potential to inform early identification and prevention. Feasibility outcomes include recruitment and retention rates and the acceptability of study procedures and measures, assessed to inform future studies.

ETHICS AND DISSEMINATION: Representatives from the target population have contributed to the study's development. The study complies with General Data Protection Regulation (GDPR) and has been approved by the Swedish Ethical Review Authority. Findings will be disseminated through scientific publications, conferences and to the public and relevant organisations.},
}

Humans
Adolescent
Sweden/epidemiology
Young Adult
*Mental Health/statistics & numerical data
Female
Prospective Studies
Adult
Male
*Mental Disorders/epidemiology
Research Design
*Depression/epidemiology
Smartphone
Anxiety/epidemiology
Prevalence

@article {pmid42715634,
year = {2026},
author = {Deng, S and Wang, W and Yu, J and Wu, Y and Zhang, F and Gou, X and Zhang, Y and Zhao, X and Yu, J and Huangpeng, X and Han, L},
title = {Plant-rhizosphere control of thallium mobility and detoxification in contaminated soils: Insights from multi-omics and in situ DGT.},
journal = {Ecotoxicology and environmental safety},
volume = {323},
number = {},
pages = {120773},
doi = {10.1016/j.ecoenv.2026.120773},
pmid = {42715634},
issn = {1090-2414},
mesh = {*Rhizosphere ; *Thallium/metabolism/toxicity ; *Soil Pollutants/metabolism/toxicity ; Multiomics ; Plant Roots/metabolism ; *Brassica rapa/metabolism/genetics ; Metabolomics ; RNA, Ribosomal, 16S/genetics ; Soil Microbiology ; },
abstract = {Thallium (Tl) is an extremely toxic and strongly bioaccumulative metal increasingly detected in agricultural soils, yet its behavior at the plant-rhizosphere interface remains poorly constrained. Here, we integrated in situ diffusive gradients in thin films (DGT) with multi-omics analyses (transcriptomics, metabolomics, and 16S rRNA sequencing) to elucidate how plant-rhizosphere interactions regulate Tl mobility and detoxification in Brassica rapa. In situ DGT profiling coupled with the European Community Bureau of Reference (BCR) sequential extraction identified the root-soil interface (0-3 cm) as a hotspot of labile Tl dynamics, revealing a dose-dependent shift from rhizosphere-mediated Tl mobilization under moderate exposure to immobilization under high stress. This transition was mirrored by a hormesis-driven plant response, with low Tl levels stimulating growth and uptake (bioconcentration factor, BCF = 4.2), followed by growth inhibition and restricted translocation at higher doses. Multi-omics analyses showed coordinated metabolic and transcriptional reprogramming associated with this shift, including altered central carbon metabolism, glutathione homeostasis, phenylpropanoid biosynthesis, and selective regulation of metal transporters (ZIP downregulation; ABC and MATE upregulation). Key metabolites (L-proline, sinapoyl aldehyde) and genes (e.g., TAT, PRDX6) emerged as integrative regulators linking detoxification, redox balance, and osmoprotection. Concurrently, Tl exposure induced a functional succession of the rhizosphere microbiome toward metal-resistant taxa (e.g., Nitrospira, Microvirga), closely associated with changes in root exudation patterns. Collectively, these findings advance a process-based mechanistic understanding of how rhizosphere biogeochemistry, plant molecular responses and microbial dynamics jointly control Tl mobility and detoxification, informing Tl risk assessment and plant-microbe-assisted management.},
}

*Rhizosphere
*Thallium/metabolism/toxicity
*Soil Pollutants/metabolism/toxicity
Multiomics
Plant Roots/metabolism
*Brassica rapa/metabolism/genetics
Metabolomics
RNA, Ribosomal, 16S/genetics
Soil Microbiology

@article {pmid42765212,
year = {2026},
author = {Xu, JX and Yao, JH and Liu, RL and Hu, WM and Zhang, W},
title = {[Spatiotemporal Variation Characteristics and Driving Factors of Carbon Sinks in Resource-Depleted Transition Cities： A Case Study of Xuzhou].},
journal = {Huan jing ke xue= Huanjing kexue},
volume = {47},
number = {9},
pages = {5877-5888},
doi = {10.13227/j.hjkx.202507324},
pmid = {42765212},
issn = {0250-3301},
abstract = {Ecological restoration and green transformation of resource-exhausted cities are vital pathways for carbon sequestration and sink enhancement. The quantitative evaluation of carbon sink capacity and its driving factors is essential for deepening the understanding of regional carbon cycling and its driving mechanisms， optimizing ecological restoration strategies， and advancing China's "dual-carbon" goals. In this study， we selected Xuzhou， a city transitioning from resource dependence， as our case study and employed an improved CASA model， soil respiration regression equations， slope trend analysis， Hurst index， optimal parameter Geodetector （OPGD）， and partial correlation analysis to reveal the spatiotemporal dynamics， driving factors， and future trajectories of net ecosystem productivity （NEP） during Xuzhou's transition away from resource dependence. The results show that： ① From 2000 to 2022， NEP in Xuzhou exhibited a fluctuating upward trend and displayed a spatial pattern of "low in the center， high in the periphery，" transitioning from a carbon source to a carbon sink. ② During 2011-2022， NEP increased significantly， and the area exhibiting a significant upward trend expanded by 28.21% （P < 0.05）； the carbon-sink capacity was projected to continue strengthening. ③ The explanatory power of individual drivers of NEP spatial heterogeneity differed markedly， while the intensity of multi-factor interactions rose significantly. Vegetation cover fraction （q=0.49） and built-up land proportion （q=0.47） exhibited the strongest explanatory power for the spatial heterogeneity of NEP， and the explanatory power of ecological restoration factors has been steadily increasing. ④ Future efforts should focus on establishing a synergistic mechanism that integrates ecological-restoration governance with carbon sink enhancement， strengthening the interplay between natural and anthropogenic factors， ensuring ecological sustainability， and averting the risk of carbon sink decline caused by uncontrolled urban expansion.},
}

@article {pmid42765247,
year = {2026},
author = {Li, JH and Li, WY and Liu, YH},
title = {[Spatio-temporal Evolution and Driving Forces of Landscape Ecological Risk in the Yangtze River Economic Belt].},
journal = {Huan jing ke xue= Huanjing kexue},
volume = {47},
number = {9},
pages = {6317-6327},
doi = {10.13227/j.hjkx.202504187},
pmid = {42765247},
issn = {0250-3301},
mesh = {China ; Rivers ; *Ecosystem ; *Environmental Monitoring/methods ; *Conservation of Natural Resources ; Spatio-Temporal Analysis ; Risk Assessment ; Forests ; Grassland ; Remote Sensing Technology ; },
abstract = {Conducting landscape ecological risk assessment and exploring driving factors can provide scientific support for ecological protection and high-quality development. The Yangtze River Economic Belt was selected as the study area， and multi-temporal remote sensing land-use data from 2010， 2015， and 2020 was utilized to construct a landscape ecological risk assessment model employing landscape pattern indices. We conducted a land type distribution analysis to explore the temporal and spatial fluctuations in landscape ecological risks. The Moran index was utilized to examine the spatial correlation and clustering patterns of landscape ecological risks， while the optimal parameter Geodetector was applied to investigate the driving forces of impact factors. The results indicate：① Arable land， forests， and grasslands constituted the principal categories of land. Between 2010 and 2015， the region experiencing changes in land use constituted 0.77% of the whole research area； however， from 2015 to 2020， this region represented 29.80% of the total study area， signifying substantial variations in land use patterns. ② The principal levels of landscape ecological risk were low risk， lower risk， and medium risk. High-risk regions were predominantly located in the Yangtze River Delta， the Su-Wan Floodplain， the Jianghan Plain， the Dongting Lake Plain， the Poyang Lake Plain， and the foothills of the Qinghai-Tibet Plateau in northwestern Sichuan Province. The ecological hazards in the middle and lower reaches of the Yangtze River exceeded those found in the upper reaches. ③ From 2010 to 2015， landscape ecological risk alterations were predominantly observed in lower-risk areas， which evolved into low ecological risk zones. The magnitude of these alterations was more pronounced in the higher reaches than in the middle and lower reaches. It was evident that between the years 2015 and 2020， the region exhibiting elevated risk levels surpassed that of reduced risks， and the magnitude of alterations in risk levels was more pronounced. The distribution of landscape ecological risk demonstrated a positive spatial association， characterized by a generally consistent spatial clustering pattern. Initially， high-high clustering rose before declining， whereas low-low clustering persisted in its decline. ④ The level of human disturbance， land use intensity， NDVI， and slope have been identified as significant determinants of landscape ecological risk in the Yangtze River Economic Belt. The explanatory power of pairwise interactions between driving factors was enhanced. The results of the research are of significance for the optimization of ecological compensation and sustainable development planning in the study area.},
}

China
Rivers
*Ecosystem
*Environmental Monitoring/methods
*Conservation of Natural Resources
Spatio-Temporal Analysis
Risk Assessment
Forests
Grassland
Remote Sensing Technology

@article {pmid42766057,
year = {2026},
author = {Maździarz, M and Bilska, K and Krawczyk, K and Wiśniewski, P and Staniszewska, P and Kulik, T},
title = {ZymoR: Bridging plant pathology and automated bioinformatics for fungicide resistance profiling in Zymoseptoria tritici.},
journal = {World journal of microbiology & biotechnology},
volume = {42},
number = {10},
pages = {},
pmid = {42766057},
issn = {1573-0972},
support = {2023/05/Y/NZ9/00163//Narodowe Centrum Nauki/ ; },
mesh = {*Ascomycota/genetics/drug effects ; *Drug Resistance, Fungal/genetics ; *Computational Biology/methods ; *Fungicides, Industrial/pharmacology ; Triticum/microbiology ; Plant Diseases/microbiology ; High-Throughput Nucleotide Sequencing ; Mutation ; Genetic Variation ; Fungal Proteins/genetics ; },
abstract = {Zymoseptoria tritici, the causal agent of Septoria tritici blotch (STB), is one of the most destructive fungal pathogens of wheat worldwide. The extensive use of fungicides has driven the emergence of diverse resistance mechanisms involving multiple target-site genes, as well as non-target-site resistance. High-throughput sequencing (HTS) technologies now enable large-scale detection of resistance-associated genetic variation, yet routine implementation of HTS-based monitoring remains constrained by the lack of standardized analytical workflows and tools that translate sequence data into biologically meaningful resistance information. Here, we present ZymoR, a dedicated bioinformatics platform for automated molecular surveillance of fungicide resistance in Z. tritici. ZymoR integrates sequence quality assessment, mutation detection and CYP51 haplotype classification within a single user-friendly workflow. The platform incorporates a curated and expandable database of resistance-associated variants across the principal fungicide target genes, enabling standardized annotation of known resistance markers while facilitating the identification of previously undescribed variants. Unlike conventional variant-calling pipelines, ZymoR links detected genetic variation to standardized nomenclature and resistance-associated metadata, substantially reducing the bioinformatic expertise required for data interpretation. The ZymoR package was made available as an open-source tool via GitHub at https://github.com/Mordziarz/ZymoR .},
}

*Ascomycota/genetics/drug effects
*Drug Resistance, Fungal/genetics
*Computational Biology/methods
*Fungicides, Industrial/pharmacology
Triticum/microbiology
Plant Diseases/microbiology
High-Throughput Nucleotide Sequencing
Mutation
Genetic Variation
Fungal Proteins/genetics

@article {pmid42647746,
year = {2026},
author = {Mirchandani, C and Omarjee, A and Achaz, G and Enbody, ED and Thomas, GWC and Sackton, TB},
title = {Variant calling in nonmodel organisms with snpArcher.},
journal = {Molecular biology and evolution},
volume = {43},
number = {9},
pages = {},
pmid = {42647746},
issn = {1537-1719},
support = {DEB-1754397//National Science Foundation/ ; },
mesh = {Animals ; *Software ; *Strigiformes/genetics ; Polymorphism, Single Nucleotide ; Computational Biology/methods ; Genetics, Population/methods ; },
abstract = {Population genomic studies in nonmodel organisms increasingly depend on whole-genome resequencing, yet translating raw reads into reliable variant callsets remains a practical challenge due to the complexity of multistep bioinformatics pipelines and the absence of species-specific best practices. Here, we present a step-by-step protocol for snpArcher, a Snakemake-based workflow that takes raw sequencing reads and a reference genome as input and produces a filtered, joint-called Variant Call Format (VCF) file suitable for downstream population genomic analysis. We guide users through six phases: installation and environment setup, sample sheet creation, run configuration, execution on local or high-performance computing systems, quality control review using an interactive HTML dashboard, and downstream analysis, focusing on postprocessing and filtering. The quality control (QC) dashboard aggregates individual-level metrics including principal component analysis, relatedness estimation, depth-missingness diagnostics, and admixture analysis to help identify batch effects, contamination, cryptic relatedness, and outlier samples before downstream analysis. We demonstrate the impact of sequential filtering steps on the site frequency spectrum and demographic inference using a dataset of 137 burrowing owl (Athene cunicularia) genomes, showing how removal of low-coverage individuals, sex-linked scaffolds, and regions of excess heterozygosity eliminates artifacts that would otherwise bias inference of population size history. This protocol is intended as a practical companion to the original snpArcher publication, enabling researchers working with nonmodel organisms to produce and evaluate analysis-ready variant callsets in a reproducible manner.},
}

Animals
*Software
*Strigiformes/genetics
Polymorphism, Single Nucleotide
Computational Biology/methods
Genetics, Population/methods

@article {pmid42726887,
year = {2026},
author = {Althouse, BM},
title = {Ecological specialization in vectors alters transmission thresholds and endemic dynamics in multi-host, multi-vector systems.},
journal = {PLoS computational biology},
volume = {22},
number = {9},
pages = {e1014754},
doi = {10.1371/journal.pcbi.1014754},
pmid = {42726887},
issn = {1553-7358},
mesh = {Animals ; *Models, Biological ; *Vector Borne Diseases/transmission/epidemiology ; Humans ; Computational Biology ; Aedes ; Insect Vectors ; Basic Reproduction Number ; },
abstract = {Modeling vector-borne pathogens that circulate among several host and vector species hinges on how the force of infection (FOI) is defined. In an i-host, j-vector susceptible-infectious-recovered modeling framework I compare two common FOI denominators: (i) a weighted form in which vectors bite preferred hosts disproportionately, and (ii) an unweighted form that assumes opportunistic biting. Using identical parameter sets calibrated to primate-Aedes data from Kédougou (Senegal), the weighted FOI doubles the basic reproduction number (R0) relative to the opportunistic FOI and can shift R0 across the epidemic threshold. It also produces higher long-run prevalence and larger oscillations. Both autonomous formulations undergo a forward transcritical bifurcation at R0 = 1. Selecting an ecologically realistic biting assumption is therefore critical for predicting sylvatic-to-urban spillover risk and designing interventions in multi-host systems.},
}

Animals
*Models, Biological
*Vector Borne Diseases/transmission/epidemiology
Humans
Computational Biology
Aedes
Insect Vectors
Basic Reproduction Number

@article {pmid42757561,
year = {2026},
author = {Sun, L and An, J and Yan, T and Wang, T and Shu, X and Wang, Z and Li, H and Zhuang, W},
title = {Multi-Omics Analysis Provides Insights Into the Molecular Mechanism of Melatonin-Mediated Cadmium Tolerance in Populus tomentosa.},
journal = {Journal of pineal research},
volume = {78},
number = {5},
pages = {e70184},
doi = {10.1111/jpi.70184},
pmid = {42757561},
issn = {1600-079X},
support = {BK20242007//Natural Science Foundation of Jiangsu Province, China/ ; 32271916//National Natural Science Foundation of China/ ; CX(24)3048//the Jiangsu Agricultural Science and Technology Innovation Fund/ ; },
mesh = {*Populus/metabolism/drug effects/genetics ; *Cadmium/toxicity/metabolism ; *Melatonin/pharmacology/metabolism ; Multiomics ; },
abstract = {Cadmium (Cd) contamination, a major constraint on plant growth, causes a serious threat to ecological safety. Populus tomentosa is a promising woody species for Cd phytoremediation, but the mechanism of Cd phytoremediation by melatonin (MT) in this species remains unclear. To elucidate how MT confers Cd tolerance in P. tomentosa, four treatments (control, MT: 100 μmol·L[-1] melatonin, Cd: 100 μmol·L[-1] CdCl2, and MT + Cd, CM: 100 μmol·L[-1] CdCl2 + 100 μmol·L[-1] melatonin) on seedlings were conducted, and integrated analyses of physiological traits, noninvasive micro-test (NMT) data, transcriptomes, and metabolomes were further performed. Cd stress significantly inhibited seedling growth, reduced chlorophyll content, promoted excessive Cd accumulation, and triggered a burst of reactive oxygen species (ROS). Exogenous MT application reversed Cd-induced growth suppression by promoting root Cd[2+] efflux while reducing Cd influx, decreasing Cd deposition in leaves, and activating superoxide dismutase and peroxidase to scavenge ROS under Cd treatment. Transcriptomic and metabolomic profiling suggested that metabolic pathways, including hormone signaling, glutathione metabolism, and phenylpropanoid biosynthesis, might be participated in the MT-mediated Cd response. Furthermore, three transcription factors, ERF098, bHLH041, and MYB308, were also identified as candidate regulators of MT-mediated Cd detoxification. Heterologous expression in yeast revealed that MYB308 not only enhanced Cd tolerance but also reduced Cd accumulation under Cd stress. These findings elucidate the multilayered regulatory network underlying MT-enhanced Cd tolerance in P. tomentosa, and provide genetic resources for breeding Cd-resistant tree varieties and theoretical guidance for remediating Cd-contaminated soils.},
}

*Populus/metabolism/drug effects/genetics
*Cadmium/toxicity/metabolism
*Melatonin/pharmacology/metabolism
Multiomics

@article {pmid42758773,
year = {2026},
author = {Moctezuma Tan, L and Orcales, F and Pennings, P},
title = {Response to comment on "Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper".},
journal = {PLoS computational biology},
volume = {22},
number = {9},
pages = {e1014710},
pmid = {42758773},
issn = {1553-7358},
}

@article {pmid42759031,
year = {2026},
author = {Yan, X and Hassett, AL and Waljee, JF and Newman, MW and Park, SY and Bei, R and Carlozzi, NE},
title = {Engagement With a Relaxation-Based Mobile Health Intervention for Perioperative Anxiety: Prospective Longitudinal Cohort Mixed Methods Study.},
journal = {JMIR mHealth and uHealth},
volume = {14},
number = {},
pages = {e64278},
doi = {10.2196/64278},
pmid = {42759031},
issn = {2291-5222},
mesh = {Humans ; Female ; Prospective Studies ; Longitudinal Studies ; Adult ; *Anxiety/psychology/therapy ; Male ; *Relaxation Therapy/methods/standards/statistics & numerical data/psychology ; Middle Aged ; Mobile Applications/standards/statistics & numerical data ; Telemedicine/standards/statistics & numerical data ; Cohort Studies ; Perioperative Period/psychology ; Digital Health ; Qualitative Research ; Surveys and Questionnaires ; },
abstract = {BACKGROUND: Relaxation-based mobile health (mHealth) interventions hold strong potential to address perioperative anxiety and pain management in a scalable manner. However, there is limited research on how surgical patients engage with these interventions and what aspects may be most helpful.

OBJECTIVE: This study had 3 goals: (1) explore how users interact with a relaxation-based mHealth intervention during the perioperative period; (2) understand how user performance and perceptions relate to perceived benefits; and (3) identify design considerations to enhance user engagement and behavior change outcomes in mHealth interventions.

METHODS: We conducted a prospective longitudinal cohort, mixed methods study to evaluate user engagement with MiCarePath, a relaxation-based mHealth intervention. A total of 19 perioperative patients (mean age 41.3 years; 14/19, 74%, female) undergoing elective surgery and reporting sometimes-to-always anxiety were enrolled using 3 recruitment methods. Participants used the app from 10 days before surgery to 4 weeks after surgery. We collected quantitative data on video engagement metrics (eg, duration of watching, response rate to video prompts) and ecological momentary assessments of anxiety and pain. Concurrently, we conducted semistructured, data-prompted interviews at 3 time points to assess user perceptions. These data were integrated using descriptive statistics, repeated-measures ANOVA, and qualitative thematic analysis to examine the relationship between user performance and perceived benefits.

RESULTS: Eleven participants reported developing or improving relaxation-based self-management strategies (high benefit), whereas 8 reported little benefit from the intervention. The high-benefit group showed significantly greater total watching time (difference 223.8 minutes, 95% CI 95.54-366.46 minutes, P<.001), higher adherence to video prompts (73.45% vs 34.60%, P<.001), and greater perceived helpfulness of the content (79.80% vs 25.50%, P<.001) compared with the low-benefit group. A significant group-by-time interaction effect was observed for engagement (F1,17=17.02, P<.001). No difference was observed in delay in response to video prompts. However, within each group, participant perceptions were not fully reflected in performance. Some participants in the high-benefit group showed decreased video watching after surgery but still reported feeling engaged with the intervention. Interview data revealed that "intentional use" behavior-where users actively seek content to manage symptoms independent of prompts-distinguished these participants. Those who developed intentional use were able to practice relaxation techniques without the app and resume app engagement following contextual disruptions.

CONCLUSIONS: This study explored user engagement with a relaxation-based mHealth intervention for perioperative care, advancing the literature by integrating user perceptions and performance for digital anxiety and pain management. Results indicate that perceived benefit may not always be reflected in user performance. Intentional use emerges as a promising indicator of effective mHealth engagement in perioperative care. Future designs should aim to foster intentional use through features such as reflection prompts and adaptive notifications. Future work should also develop computational models to detect intentional use and evaluate adaptive interventions in larger cohorts.},
}

Humans
Female
Prospective Studies
Longitudinal Studies
Adult
*Anxiety/psychology/therapy
Male
*Relaxation Therapy/methods/standards/statistics & numerical data/psychology
Middle Aged
Mobile Applications/standards/statistics & numerical data
Telemedicine/standards/statistics & numerical data
Cohort Studies
Perioperative Period/psychology
Digital Health
Qualitative Research
Surveys and Questionnaires

@article {pmid42760829,
year = {2026},
author = {Yorozu, K and Hinotsu, S and Matsuura, M and Someya, M and Saito, T},
title = {A decade of decline and regional disparity: Trends and associated factors in use of ritodrine hydrochloride for threatened preterm labor in Japan, a nationwide ecological study.},
journal = {International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics},
volume = {},
number = {},
pages = {},
doi = {10.1002/ijgo.71345},
pmid = {42760829},
issn = {1879-3479},
abstract = {OBJECTIVE: Ritodrine hydrochloride is a commonly used tocolytic agent for threatened preterm labor in Japan, despite its serious adverse events and limited use in many other countries. National obstetric guidelines have shifted toward restricting its use, but the evidence-practice gap remains unclear. The aim of this study is to determine usage trends for ritodrine at nationwide and prefectural levels and identify factors associated with usage.

METHODS: We conducted an ecological study linking nationwide aggregated medical claims data and statistical survey records across all 47 prefectures. We investigated 10-year trends in ritodrine use from fiscal year (FY) 2014 to 2023. Choropleth maps and spatial statistics illustrated geographic relationships among neighboring prefectures. We also conducted a cross-sectional study to identify factors associated with ritodrine injection use.

RESULTS: The usage rate of ritodrine injection per 1000 deliveries decreased by more than 45% over 10 years. Joinpoint regression analysis identified FY2017 as a turning point, after which the decline accelerated. However, prefectural usage varied up to 13.58-fold, with spatial clustering of high-use regions. Factors associated with injection usage included the density of Perinatal Medical Centers (PMCs), hospital admissions for threatened preterm labor and preterm birth per 1000 deliveries, and the proportion of hospitals among delivery facilities.

CONCLUSION: This study showed that nationwide use of ritodrine injection decreased by half over a decade, along with regional disparities among prefectures in Japan. These variations might reflect localized treatment policies influenced by differences in healthcare resources and geographical accessibility.},
}

@article {pmid42764449,
year = {2026},
author = {Peng, S and Butler-Laporte, G and Johnson, SC and Engelman, CD and Lu, T},
title = {Genetic evidence suggests a protective role of immunoglobulin M in Alzheimer's disease.},
journal = {Alzheimer's & dementia : the journal of the Alzheimer's Association},
volume = {22},
number = {9},
pages = {e71865},
doi = {10.1002/alz.71865},
pmid = {42764449},
issn = {1552-5279},
support = {R35GM162188/NH/NIH HHS/United States ; RF1AG054047/NH/NIH HHS/United States ; //of the National Institutes of Health/ ; P2CHD047873//the Center for Demography and Ecology/ ; P30AG017266//the Center for Demography of Health and Aging/ ; },
mesh = {Humans ; *Alzheimer Disease/genetics/immunology/blood ; Amyloid beta-Peptides/blood ; tau Proteins/blood ; *Immunoglobulin M/genetics/blood ; Biomarkers/blood ; Immunoglobulin G/blood ; Glial Fibrillary Acidic Protein/blood ; Female ; Male ; Mendelian Randomization Analysis ; Genetic Risk Score ; Aged ; Neurofilament Proteins/blood ; Peptide Fragments/blood ; },
abstract = {INTRODUCTION: Immune dysfunction has been implicated in Alzheimer's disease (AD), but the roles of specific immunoglobulin classes remain unclear.

METHODS: We integrated human genetics and plasma biomarker analyses to evaluate immunoglobulin G (IgG), IgA, and IgM in relation to AD. Two-sample Mendelian randomization analyses were conducted with multiple sensitivity analyses. Polygenic risk scores for immunoglobulin classes were developed in the All of Us Research Program and tested in the UK Biobank for associations with AD and dementia, and in two Wisconsin-based cohorts for associations with plasma amyloid beta (Aβ)42/40, phosphorylated tau 217 (p-tau217), neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP).

RESULTS: Higher genetically proxied IgM was consistently associated with lower AD risk, higher Aβ42/40, and lower p-tau217, but not with NfL or GFAP. No consistent associations were observed for IgG or IgA.

DISCUSSION: IgM-related humoral immunity may play a protective role in AD and warrants exploration for early intervention and prevention.},
}

Humans
*Alzheimer Disease/genetics/immunology/blood
Amyloid beta-Peptides/blood
tau Proteins/blood
*Immunoglobulin M/genetics/blood
Biomarkers/blood
Immunoglobulin G/blood
Glial Fibrillary Acidic Protein/blood
Female
Male
Mendelian Randomization Analysis
Genetic Risk Score
Aged
Neurofilament Proteins/blood
Peptide Fragments/blood

@article {pmid42756488,
year = {2026},
author = {Calderón Del Cid, C and Versiane, AFA and Leitman, P and Filardi, FR and Forzza, RC and Cardoso, D},
title = {refloraR: An R package for efficiently retrieving and analyzing plant specimen data from the Herbário Virtual Reflora.},
journal = {Applications in plant sciences},
volume = {},
number = {},
pages = {e70081},
pmid = {42756488},
issn = {2168-0450},
abstract = {PREMISE: Advances in the digitization of herbarium collections are enabling open access to specimen data for research and conservation. In Brazil, the Herbário Virtual Reflora (HVR) hosts over 4.8 million high-resolution images of botanical specimens and their associated data from 86 national and international herbaria.

METHODS AND RESULTS: To facilitate access and use of HVR data in biodiversity research, we developed the R package refloraR. This tool interacts with the HVR Integrated Publishing Toolkit (IPT) to download, parse, summarize, and filter herbarium records in Darwin Core Archive (DwC-A) and dataframes. It also retrieves occurrence records and indeterminate specimens for any hierarchical level. We provide a working example that combines the refloraR functions for quantifying indeterminate specimens as an indicator of taxonomic gaps within and among collections.

CONCLUSIONS: The refloraR package supports reproducible workflows in systematics, conservation, and ecology. By enabling the efficient retrieval of specimen data, it integrates the HVR into modern biodiversity informatics and democratizes access to natural history collections.},
}

@article {pmid42435607,
year = {2026},
author = {Mekonnen, GB},
title = {Integrative multi-omics and predictive precision systems for poultry meat and egg quality: Mechanisms, applications, and commercial challenges.},
journal = {Poultry science},
volume = {105},
number = {10},
pages = {107378},
pmid = {42435607},
issn = {1525-3171},
mesh = {Animals ; *Multiomics ; *Animal Husbandry/methods ; *Meat/analysis/standards ; *Eggs/analysis/standards ; *Ovum/physiology ; *Chickens/physiology ; *Poultry/physiology ; },
abstract = {Poultry meat and egg quality result from complex interactions among host genetics, metabolism, nutrition, microbiome ecology, physiology, management practices, and environmental conditions. These multidimensional interactions limit the predictive capacity of conventional phenotype-based approaches and increasingly necessitate systems-level frameworks capable of capturing biological complexity. Recent advances in multi-omics technologies have transformed poultry quality research by enabling integrated analyses of genomic, transcriptomic, proteomic, metabolomic, lipidomic, epigenomic, and microbiome datasets. These approaches have substantially enhanced understanding of the molecular, cellular, physiological, and ecological networks associated with product quality, production efficiency, physiological resilience, and environmental adaptation. Integrated multi-omics analyses, particularly when combined with artificial intelligence and machine-learning approaches, have the potential to identify biologically interpretable biomarkers, candidate mechanistic pathways, and predictive signatures associated with meat and egg quality traits; however, most proposed signatures remain at early stages of validation and require rigorous external testing before commercial deployment. This review synthesizes current advances in omics-driven poultry research and critically evaluates emerging applications in precision nutrition, breeding, health monitoring, environmental adaptation, and sustainable production systems. To provide a unifying biological framework, we propose the Adaptive Systems Theory of Poultry Quality (ASTPQ), which conceptualizes poultry quality as an emergent adaptive phenotype arising from coordinated interactions among mitochondrial function, redox homeostasis, immune competence, metabolic flexibility, physiological resilience, endocrine-immune regulation, and host-microbiome dynamics. Within this conceptual framework, adaptive-system capacity is proposed as the principal integrative mechanism linking molecular regulation with phenotypic quality outcomes across diverse production environments. Despite substantial advances, commercial implementation remains constrained by biological heterogeneity, methodological variability, limited external validation, computational complexity, challenges in data integration, infrastructure requirements, and economic barriers. Current evidence suggests that predictive performance depends less on increasing molecular dimensionality than on developing biologically interpretable, externally validated, economically feasible, and operationally scalable systems. Future progress will likely require integrated precision-production frameworks that combine molecular biomarkers, physiological monitoring, environmental sensing, microbiome-informed interventions, explainable artificial intelligence, and rigorous large-scale field validation to support sustainable, resilient, and commercially applicable poultry production systems.},
}

Animals
*Multiomics
*Animal Husbandry/methods
*Meat/analysis/standards
*Eggs/analysis/standards
*Ovum/physiology
*Chickens/physiology
*Poultry/physiology

@article {pmid42747760,
year = {2026},
author = {Litavský, J and Majzlan, O and Langraf, V},
title = {Environmental drivers of carabid beetle communities in a historical urban park: a case study from Rusovce, Slovakia.},
journal = {Biologia futura},
volume = {},
number = {},
pages = {},
pmid = {42747760},
issn = {2676-8607},
support = {VV-MVP-24-0207//Agentúra na Podporu Výskumu a Vývoja/ ; 1/0211/25//Vedecká Grantová Agentúra MŠVVaŠ SR a SAV/ ; },
abstract = {Urban green spaces, particularly historical parks, serve as important refuges for biodiversity in cities. However, the traits that allow species to persist in these areas remain underexplored. Carabids are widely recognised as sensitive bioindicators of environmental change and habitat quality. We studied carabid beetle communities in seven distinct habitats within a historical park in Rusovce (Bratislava, Slovakia) from March 2019 to April 2020 using pitfall traps, recording 756 individuals belonging to 54 species. The community was dominated by three large, flightless forest species: Abax parallelepipedus, Carabus ulrichii, and Carabus coriaceus. Strikingly, flightless species as a whole made up only 17% of species richness yet 80% of all individuals, suggesting that the park sustains populations of poorly dispersing, disturbance-sensitive carabids at unusually high densities for an urban setting. Redundancy analysis showed that microclimatic conditions (soil, surface, and air temperature) and vegetation structure (tree and herb layer cover and richness, stand age, and litter depth) were the principal drivers of community composition, whereas among management practices, only invasive plant species and trampling significantly reduced beetle diversity; mowing, tree cutting, and monoculture plantations had no measurable effect. Comparing these results with our parallel studies of harvestmen and spiders from the same park revealed that each taxon responds to a distinct combination of environmental drivers, underscoring the value of multi-taxon monitoring for urban biodiversity assessment. These findings identify concrete, low-cost management levers, such as controlling invasive plants and limiting trampling, that city park managers can use to protect ground-dwelling arthropod diversity as urbanisation intensifies.},
}

@article {pmid42748186,
year = {2026},
author = {Gardner, B and McCarthy, PT and Chrol-Cannon, J and Goodman, DFM and Schultz, SR and Lo Iacono, G and Stringer, SM},
title = {Hierarchical feature binding in a spiking neural network model of the primate ventral visual pathway.},
journal = {PLoS computational biology},
volume = {22},
number = {9},
pages = {e1014752},
pmid = {42748186},
issn = {1553-7358},
support = {EP/W024020/1//Engineering and Physical Sciences Research Council (EPSRC)/ ; },
mesh = {Animals ; *Models, Neurological ; *Visual Pathways/physiology ; *Action Potentials/physiology ; Neurons/physiology ; Primates/physiology ; *Nerve Net/physiology ; Computer Simulation ; Computational Biology ; Humans ; Visual Cortex/physiology ; },
abstract = {Feature binding - how the brain encodes which features are part of other features to form representations of the coherent objects we perceive - remains an unsolved problem in neuroscience. Despite progress towards a solution, major theories either lack detailed explanations at the neuronal level or rely on biologically unrealistic simplifications, and none adequately account for the representation of hierarchical information, which is crucial to our perception of the world. To address this, a solution termed binding by polychrony has been proposed to explain how hierarchical feature relationships may be encoded at the neuronal level in a biologically realistic system. This theory relies on a phenomenon known as polychronization, where groups of neurons fire in precisely coordinated, time-locked sequences, leading to the emergence of regularly repeating spatiotemporal patterns that might encode these relationships. In this study, we explore binding by polychrony through simulations of a spiking neural network that closely aligns with the structural organisation of the primate ventral visual pathway, incorporating bottom-up, top-down, and lateral synaptic connections. By exposing the network to collections of related 2D object shapes from ecologically realistic datasets and applying spike-timing-dependent plasticity, the network self-organises such that individual neurons respond selectively to specific shape features. Furthermore, the network exhibits polychronization, giving rise to repeating spatiotemporal patterns, some of which form circuits that encode hierarchical feature relationships. Notably, these circuits are robust, even with the randomised, Poisson-distributed spike timings that represent the visual stimuli in the input layer. These results provide evidence for binding by polychrony as a feasible solution to the feature binding problem, and characterise the mechanism by which it may function. This mechanism can guide experimentalists in identifying such circuits in vivo, and could also be utilised in computer vision systems to capture more information and improve robustness to adversarial inputs.},
}

Animals
*Models, Neurological
*Visual Pathways/physiology
*Action Potentials/physiology
Neurons/physiology
Primates/physiology
*Nerve Net/physiology
Computer Simulation
Computational Biology
Humans
Visual Cortex/physiology

@article {pmid42750668,
year = {2026},
author = {Titelman, D},
title = {Editorial: Applied psychoanalysis and psychoanalytically informed research.},
journal = {Frontiers in psychology},
volume = {17},
number = {},
pages = {1956380},
pmid = {42750668},
issn = {1664-1078},
}

@article {pmid42754581,
year = {2026},
author = {Nagy, DU and Callaway, RM and Luke Flory, S and Barratt, CD and Durka, W and Lekberg, Y and Lucas, MS and Michalski, SG and Onstein, RE and Pal, RW and Selke, J and Thoma, AE and Al-Gharaibeh, MM and Al-Namazi, AA and Andraca-Gómez, G and Olsson, PA and Baasanmunkh, S and Babaei, S and Bastida, F and Bennett, JA and Brunharo, C and Cullen, DA and Donnelly, RC and Ennis, A and Ensing, DJ and Eren, Ö and Fazlioglu, F and Filep, R and Flessner, M and Frazee, LJ and González, L and Gudžinskas, Z and Matt Guilliams, C and Hajdari, A and Haramoto, ER and Haughian, SR and Mason Heberling, J and Hensen, I and Holden, EM and Jandová, K and Jhala, A and Jia, X and Jun, L and Kaproth, MA and Kassem, H and Khabbach, A and Khasa, DP and Koski, MH and Kožić, K and Krigas, N and La Bella, G and Lasky, JR and Lee, B and Leger, E and Lemly, JM and Libiad, M and Lorenzo, P and Lozano, V and Lucero, JE and Makhkamov, T and Marchante, E and Marchante, H and Marshall, V and Moffat, CE and Moore, AJ and Nagy, S and Nersesyan, A and Novikov, A and Okada, M and Oprea, A and Otfinowski, R and Papikyan, A and Proctor, CA and Ramula, S and Rauschert, ESJ and Reatini, B and Rixen, C and Rush, S and Rutten, G and Sadeghpour, A and Samartza, I and Sarmati, S and Scheepens, JF and Shah, MA and Sheng, M and Sikkema, P and Silliman, C and Slate, ML and St Clair, SB and Stein, C and Stevermer, K and Suzuki, SN and Tashpulatov, Y and Tsunoda, T and Turginov, O and Vakhlamova, T and van Dam, NM and Wagner, V and Westberg, L and Xiao, S and Zhang, Z and Rosche, C},
title = {Rapid and repeated evolution of increased competitive ability in a global invader.},
journal = {Nature communications},
volume = {17},
number = {1},
pages = {},
pmid = {42754581},
issn = {2041-1723},
support = {324775//National Natural Science Foundation of China (National Science Foundation of China)/ ; RO 648//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; DFG-FZT 8, 20254886//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; },
mesh = {*Biological Evolution ; *Introduced Species ; Droughts ; Genotype ; Adaptation, Physiological ; },
abstract = {Rapid adaptive evolution can increase the competitive ability of invasive species in their non-native ranges. However, whether this increase is a general response and what drives it remain uncertain because the evidence is largely based on studies with limited sampling, inadequate consideration of population co-ancestry, and oversimplified estimates of competitive ability. We conduct a large-scale glasshouse experiment testing the effects of competition and drought on 100 native and 165 non-native populations of Erigeron canadensis, all genotyped to account for co-ancestry. Plants from non-native populations are significantly more competitive against other species than the conspecifics from native populations under both mesic and dry conditions. Genetic clustering indicates that the rapid evolution of competitive ability occurs independently in two out of four clusters in the non-native range. This advantage is present only during interspecific interactions and is absent during intraspecific competition. Repeated evolution of increased competitive ability suggests that adaptation following introduction can reshape species interactions and promote invasion success, even under future drought conditions, highlighting the importance of rapid evolution in determining the ecological impacts of invasive plants.},
}

*Biological Evolution
*Introduced Species
Droughts
Genotype
Adaptation, Physiological

@article {pmid42754908,
year = {2026},
author = {Kaufhold, G and Bartolomaeus, TUP and Schütte, K and Schütte, T and Kamboj, S and Löber, U and Rahn, G and McParland, V and Braun, L and Markó, L and Mammadli, M and Krannich, A and Bahr, LS and Gutmann, F and Paul, F and Ducarmon, QR and Zeller, G and Mesnage, R and Wilck, N and Zernecke, A and Oefner, PJ and Gronwald, W and Müller, DN and Forslund-Startceva, SK and Bähring, S and Bartolomaeus, H and Siebert, N},
title = {Machine learning identifies microbiome and clinical predictors of sustained weight loss following prolonged fasting.},
journal = {Genome medicine},
volume = {18},
number = {1},
pages = {},
pmid = {42754908},
issn = {1756-994X},
mesh = {Humans ; *Fasting ; Female ; *Machine Learning ; Male ; Adult ; *Weight Loss ; *Gastrointestinal Microbiome ; Middle Aged ; Feces/microbiology/chemistry ; Body Mass Index ; Metabolome ; Body Composition ; Multiomics ; *Microbiota ; Predictive Learning Models ; Intermittent Fasting ; },
abstract = {BACKGROUND: Prolonged fasting may improve metabolic health, but controlled data in healthy adults with longer follow-up and multi-omics profiling are limited. We investigated the immediate and 12-week follow-up effects of a 5-day fasting intervention on body composition, gut microbiome, and circulating and fecal metabolites, and assessed whether baseline characteristics predict individual weight-loss response.

METHODS: In a randomized, waitlist-controlled trial, 38 healthy adults completed a 5-day fasting intervention with 12-week follow-up (LEANER study). Outcomes included body mass index and body composition, gut microbiome composition, and plasma and fecal metabolites. Changes over time and between groups were evaluated using regression-based models and paired non-parametric tests, as appropriate. Additionally, permutation-based multivariate testing was performed on microbiome and metabolome data. Twelve-week body weight response was predicted using data-driven machine learning with cross-validation, followed by external validation in three independent cohorts undergoing prolonged fasting protocols.

RESULTS: Fasting reduced body mass index acutely, predominantly driven by loss of fat mass, and these improvements partially persisted at 12 weeks. Fasting induced marked shifts in gut microbiome composition and in plasma and fecal metabolites. Post-fasting and longer-term changes in microbial diversity were associated with baseline microbiome diversity. A model combining baseline microbiome and clinical variables predicted body mass index response at 12 weeks; prominent predictors included an unclassified Faecalibacterium species, Oscillibacter sp. 50_27, low-density lipoprotein cholesterol, and systolic blood pressure. The model generalized to three independent cohorts, including individuals with metabolic syndrome, patients with multiple sclerosis exposed to repeated fasting, and healthy volunteers fasting for 6-12 days.

CONCLUSIONS: In healthy adults, a 5-day prolonged fasting intervention produces robust short-term metabolic changes with partial persistence and consistent remodeling of the gut microbiome and metabolite profiles. Baseline microbiome and clinical characteristics can help stratify expected longer-term responses, supporting the development of individualized fasting-based interventions.

TRIAL REGISTRATION: ClinicalTrials.gov, NCT04452916. Prospectively registered on June 29, 2020.},
}

Humans
*Fasting
Female
*Machine Learning
Male
Adult
*Weight Loss
*Gastrointestinal Microbiome
Middle Aged
Feces/microbiology/chemistry
Body Mass Index
Metabolome
Body Composition
Multiomics
*Microbiota
Predictive Learning Models
Intermittent Fasting

@article {pmid42755503,
year = {2026},
author = {Shalabi, KM and Mahmoud, H and Pakkir Mohamed, SH and Shaik, SA},
title = {Digital biomarkers derived from wearable sensors in neurorehabilitation: a scoping review.},
journal = {Frontiers in neurology},
volume = {17},
number = {},
pages = {1908796},
pmid = {42755503},
issn = {1664-2295},
mesh = {Humans ; *Wearable Electronic Devices ; *Biomarkers ; Digital Health ; *Neurological Rehabilitation/instrumentation/methods ; *Parkinson Disease/rehabilitation/diagnosis ; },
abstract = {BACKGROUND: Wearable-derived digital biomarkers are increasingly being investigated in neurological rehabilitation to provide objective and continuous assessment of physical function beyond conventional clinic-based measures. However, the clinical applications and measurement characteristics of these biomarkers across neurological populations remain unclear.

OBJECTIVE: To synthesize the current evidence regarding wearable-derived digital biomarkers used in neurological rehabilitation and to summarize their clinical applications, biomarker domains, and measurement characteristics across neurological conditions.

METHODS: A scoping review was conducted following the PRISMA-ScR framework. Electronic databases including PubMed/MEDLINE, ScienceDirect, Cochrane Library, and Google Scholar were searched for English-language studies published between January 2015 and May 2026. Eligible studies investigated wearable-derived digital biomarkers in neurological rehabilitation populations.

RESULTS: A total of 56 studies were included in the review, with stroke (n = 29) and Parkinson disease (n = 10) representing the most frequently investigated neurological conditions. Inertial Measurement Unit (IMU) based systems were reported in 34 studies, making them the predominant wearable technology. Kinematic biomarkers were the most commonly investigated biomarker domain, particularly in stroke (16/29) and Parkinson disease studies (9/10). In contrast, activity-based (2/5) and physiological biomarkers (2/5) were more prevalent in spinal cord injury research. Although several studies reported favorable validity and reliability of wearable-derived measures, substantial heterogeneity was observed across studies in sensor configurations, biomarker definitions, and validation methodologies.

CONCLUSION: Wearable-derived digital biomarkers demonstrate considerable potential for objective and ecologically valid monitoring in neurological rehabilitation. However, methodological heterogeneity and limited longitudinal evidence indicate that clinical implementation remains at an early stage of development.},
}

Humans
*Wearable Electronic Devices
*Biomarkers
Digital Health
*Neurological Rehabilitation/instrumentation/methods
*Parkinson Disease/rehabilitation/diagnosis

@article {pmid42343219,
year = {2026},
author = {Yu, R and Zhang, S and Li, Y and Niu, G and Cheng, Z and Li, J and Bai, J and Zhang, S},
title = {Sex- and age-dependent physiological adaptation of captive père david's deer revealed by multi-omics analysis.},
journal = {BMC genomics},
volume = {27},
number = {1},
pages = {},
pmid = {42343219},
issn = {1471-2164},
support = {No.24CA003-2,No.25CD009//Financial Program of BJAST/ ; HNJG-20230079//Hunan Provincial Research Project on Teaching Reform in Colleges and Universities/ ; 2023JGSZ021//Hunan Provincial Research Project on Teaching Reform for Academic Degrees and Graduate Students/ ; },
mesh = {Animals ; *Deer/genetics/physiology/metabolism ; Female ; Multiomics ; Male ; *Adaptation, Physiological/genetics ; Transcriptome ; Proteomics ; Gene Expression Profiling ; Sex Factors ; Age Factors ; Metabolomics ; *Aging ; },
abstract = {BACKGROUND: Understanding how age and sex influence molecular and physiological changes is essential for studying endangered species, particularly Père David's deer, which is extinct in the wild. In this study, multi-omics analyses were performed to investigate transcriptomic, metabolomic, and proteomic dynamics in male and female Père David's deer across different developmental stages under captive conditions.

RESULTS: The results revealed sex- and stage-specific molecular trajectories, with males showing enhanced ion metabolism during early life and females exhibiting increased lipid metabolism during the subadult stage. A substantial proportion of differentially abundant metabolites and differentially expressed proteins were associated with immune and inflammatory processes. Transcriptome-based age estimation indicated that individuals at the Fawn stage exhibited younger transcriptomic profiles, and enrichment analysis of highly weighted genes highlighted immune-related pathways. In addition, transcriptomic deconvolution analysis revealed coordinated alterations in innate and adaptive immune cell populations during development.

CONCLUSIONS: These findings provide a comprehensive multi-omics characterization of molecular and immune dynamics in captive Père David's deer and improve understanding of developmental and sex-associated biological variation in this endangered species.},
}

Animals
*Deer/genetics/physiology/metabolism
Female
Multiomics
Male
*Adaptation, Physiological/genetics
Transcriptome
Proteomics
Gene Expression Profiling
Sex Factors
Age Factors
Metabolomics
*Aging

@article {pmid42726893,
year = {2026},
author = {Benhamou, W and Howerton, E and Park, SW and Viboud, C and Metcalf, CJE and Grenfell, BT},
title = {Leveraging perturbations to infer the population dynamics of human rhinovirus and interaction of influenza A virus.},
journal = {PLoS computational biology},
volume = {22},
number = {9},
pages = {e1014784},
pmid = {42726893},
issn = {1553-7358},
mesh = {Humans ; *Rhinovirus/physiology/pathogenicity ; *Influenza A virus/physiology/pathogenicity ; *Influenza, Human/epidemiology/virology ; Bayes Theorem ; Population Dynamics ; SARS-CoV-2 ; COVID-19/epidemiology/virology ; Pandemics ; Common Cold/epidemiology/virology ; Canada/epidemiology ; Computational Biology ; Picornaviridae Infections/epidemiology/virology ; United States/epidemiology ; Models, Biological ; Computer Simulation ; },
abstract = {Many respiratory pathogens co-circulate within human populations. Yet, how pathogen community structure shapes the dynamics of infectious diseases remains poorly understood. At the population level, investigating polymicrobial dynamics, with potential underlying competitive or cooperative interactions, is challenging, because of confounding factors such as differing seasonality. This is particularly true for endemic pathogens which typically exhibit stable periodic dynamics. Their disruption due to the implementation of non-pharmaceutical interventions during the COVID-19 pandemic thus represents a unique large-scale natural experiment that can be leveraged to provide valuable insights into the complex interplay between respiratory pathogens. Here, we focus on the population dynamics of human rhinovirus (common cold) and on the potential viral interference of influenza A virus (flu A), which is hypothesized to account for their asynchronous circulation. Using a Bayesian framework, we first show based on simulations that exogenous perturbations can be a powerful tool to disentangle the contribution of pathogen interaction from other epidemiological factors. We then apply our framework to surveillance time series from the US and Canada spanning the COVID-19 pandemic. We estimate key parameters of rhinovirus but find no conclusive support for an influence of influenza A virus at the population level.},
}

Humans
*Rhinovirus/physiology/pathogenicity
*Influenza A virus/physiology/pathogenicity
*Influenza, Human/epidemiology/virology
Bayes Theorem
Population Dynamics
SARS-CoV-2
COVID-19/epidemiology/virology
Pandemics
Common Cold/epidemiology/virology
Canada/epidemiology
Computational Biology
Picornaviridae Infections/epidemiology/virology
United States/epidemiology
Models, Biological
Computer Simulation

@article {pmid42095358,
year = {2026},
author = {Torales, J and O'Higgins, M and Barrios, I and Ventriglio, A and Castaldelli-Maia, JM and Smith, A and Liebrenz, M},
title = {From Mood Episodes to Digital Signatures: Passive and Active Phenotyping of Bipolar Disorder Over Time.},
journal = {The International journal of social psychiatry},
volume = {72},
number = {6},
pages = {1463-1474},
doi = {10.1177/00207640261449667},
pmid = {42095358},
issn = {1741-2854},
mesh = {Humans ; *Bipolar Disorder/diagnosis/physiopathology/psychology ; Digital Health ; Phenotype ; Machine Learning ; *Affect ; Biomarkers ; Ecological Momentary Assessment ; Smartphone ; },
abstract = {BACKGROUND: Digital phenotyping has emerged as a promising approach to capture real-time behavioral and physiological data in individuals with bipolar disorder (BD). By integrating passive and active data streams, this approach may enable the identification of dynamic patterns associated with mood instability. However, the conceptual integration of these data into clinically meaningful digital signatures remains insufficiently defined and lacks standardized operational frameworks.

METHODS: This narrative review synthesizes current evidence on digital phenotyping in BD and proposes a conceptual framework integrating passive sensing (e.g. smartphones, wearables, mobility and communication data, physiological signals) and active assessments (e.g. ecological momentary assessment, self-reported mood, cognitive tasks). The framework outlines how multimodal digital biomarkers can be analyzed using computational approaches, including machine learning and longitudinal modeling, to derive individualized digital signatures.

RESULTS: The proposed framework describes how continuous behavioral and physiological data can be transformed into multimodal digital biomarkers reflecting sleep-wake rhythms, motor activity, mobility patterns, social interaction dynamics, and autonomic physiology. Through multimodal data integration and personalized baselines, computational models can identify temporal deviations associated with mood changes. These individualized digital signatures capture the dynamic processes underlying mood regulation and may provide early warning signals of relapse, as well as markers of treatment response.

CONCLUSIONS: Digital signatures derived from integrated digital phenotyping data represent a promising step toward precision psychiatry in BD. However, this concept remains an emerging framework requiring further empirical validation and methodological standardization. This approach highlights the potential for early detection of mood instability, prediction of mood episodes, and personalized clinical decision-making. Future research should focus on validation in longitudinal clinical cohorts, standardization of methodologies, and ethical considerations related to data privacy and implementation.},
}

Humans
*Bipolar Disorder/diagnosis/physiopathology/psychology
Digital Health
Phenotype
Machine Learning
*Affect
Biomarkers
Ecological Momentary Assessment
Smartphone

@article {pmid42520457,
year = {2026},
author = {Fakhruddin, KS and Shahwan, M and Kamal, A and Elmobarik, O and Chaiboonyarak, T and Nugraha, AP and Jung, HS and Samaranayake, L and Porntaveetus, T},
title = {Human Lingual Biofilm Signatures in Gastrointestinal Disease: A Scoping Review.},
journal = {International dental journal},
volume = {76},
number = {5},
pages = {109762},
pmid = {42520457},
issn = {1875-595X},
mesh = {Humans ; *Biofilms ; *Tongue/microbiology ; *Gastrointestinal Diseases/microbiology ; *Microbiota ; Multiomics ; },
abstract = {INTRODUCTION AND AIMS: The tongue dorsum represents a structurally complex oral biofilm niche that has traditionally been regarded as indicative of systemic health. Recent advances in oral microbiome research and multi-omics technologies facilitate the systematic evaluation of the association between tongue coating biofilm signals and gastrointestinal disease states. However, it remains unclear whether these tongue-derived signals indicate systemic gastrointestinal pathology or merely reflect localised oral ecological disturbances. This review synthesises current evidence on tongue-derived microbial and multi-omics signatures across inflammatory, precancerous, and malignant gastrointestinal conditions, and evaluates their ecological, biological, and clinical significance.

METHODS: A scoping review was conducted in accordance with PRISMA-ScR guidelines. Five electronic databases were searched (2010-2025) for human studies analysing tongue-coating samples using microbiome or multi-omics approaches.

RESULTS: A total of twenty-five cross-sectional studies involving more than 4500 participants, primarily from East Asian populations, were included. Three recurrent patterns were identified: (1) stage-associated microbial restructuring, which involved mild non-specific alterations in inflammatory states, structured dysbiosis in precancerous conditions, and more consistent ecological configurations in malignancy; (2) convergence of functional multi-omics signals on lipid metabolism pathways across independent cohorts; and (3) significant modification of microbial and functional profiles by tongue coating phenotype, including colour, thickness and classification system.

CONCLUSIONS: Tongue-derived microbial and multi-omics signatures demonstrate reproducible cross-sectional associations with gastrointestinal diseases, exhibiting functional convergence across multiple omics layers. However, the reliance on cross-sectional study designs, absence of external validation and insufficient adjustment for confounding variables currently limit their clinical application as diagnostic biomarkers.

CLINICAL RELEVANCE: Tongue examination is clinically useful for assessing oral biofilm burden, mucosal pathology and oral hygiene in dental practice. It should not be used to diagnose gastrointestinal disease until validated by longitudinal, confounder-controlled studies.},
}

Humans
*Biofilms
*Tongue/microbiology
*Gastrointestinal Diseases/microbiology
*Microbiota
Multiomics

@article {pmid42742737,
year = {2026},
author = {Chen, Y and Wang, G and Xie, W and Wang, R and Cao, Y and Zou, X and Yang, F and Zhu, Y and Huang, J},
title = {Comparison of Cadmium Efflux in Wheat (Triticum aestivum) Cultivars with Contrasting Cadmium Accumulation.},
journal = {Bulletin of environmental contamination and toxicology},
volume = {117},
number = {3},
pages = {},
pmid = {42742737},
issn = {1432-0800},
support = {2023YFC3804203//National Key Research and Development Program of China/ ; 2023B1212060016//Research Fund Program of Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology/ ; },
mesh = {*Cadmium/metabolism/analysis ; *Triticum/metabolism ; *Soil Pollutants/metabolism/analysis ; },
abstract = {Cadmium (Cd) is a highly toxic heavy metal threatening human health. Wheat readily translocates Cd to grains, posing food safety risks in contaminated soils. Screening low-Cd cultivars is therefore critical. In pot experiments with 53 wheat cultivars, Kaimai 21 (KM21) and Lunxuan 6 (LX6) showed the lowest and highest grain Cd, respectively. Under 5-10 µM Cd in hydroponics, KM21 harbored 30.1%-63.6% lower root Cd, 54.7%-69.1% lower shoot Cd, and exhibited superior root growth and Cd tolerance than LX6. Crucially, KM21 showed a 36.9% higher Cd efflux rate and a larger Cd efflux proportion than LX6 (44.3% vs. 15.5%). Real-time Cd[2+] flux measurements using Non-invasive Micro-test Technology (NMT) further confirmed higher Cd efflux capacity in KM21, which contributed to higher Cd tolerance and lower Cd accumulation. Overall, KM21 is a stably high-Cd efflux and low-Cd accumulation wheat cultivar suitable for safe production in Cd-contaminated soils.},
}

*Cadmium/metabolism/analysis
*Triticum/metabolism
*Soil Pollutants/metabolism/analysis

@article {pmid42744671,
year = {2026},
author = {Beigel, K and Bringhurst, B and Greenwold, M and Kellner, K and Seal, JN},
title = {Corrigendum to "Non-reciprocal coevolution in a fungus-gardening ant" [Mol. Phylogenet. Evol. 220 (2026) 108608].},
journal = {Molecular phylogenetics and evolution},
volume = {},
number = {},
pages = {108736},
doi = {10.1016/j.ympev.2026.108736},
pmid = {42744671},
issn = {1095-9513},
}

@article {pmid42146430,
year = {2026},
author = {Ramola, R and De Paolis Kaluza, MC and Piovesan, D and Peng, Y and Joshi, P and Mehdiabadi, M and Quaglia, F and Pancsa, R and Chemes, LB and Ahn, H and Altenhoff, AM and Asgari, E and Aspromonte, MC and Atalay, V and Babbi, G and Baldazzi, D and Barot, MM and Ben-Hur, A and Benso, A and Berenberg, D and Björne, J and Boecker, F and Boldi, P and Bonello, J and Bordin, N and Borole, P and Boroojeny, AE and Cao, R and Di Carlo, S and Casadio, R and Casiraghi, E and Chang, JM and Chen, C and Chen, TM and Cheng, J and Chiu, S and Dalkıran, A and Davidović, RS and Dessimoz, C and Diao, R and Djeddi, WE and Dogan, T and Flannery, ST and Fontana, P and Frasca, M and Freddolino, L and Gemović, B and Gillis, J and Ginter, F and Gligorijevic, V and Grossi, G and Heinzinger, M and Hippe, K and Hoehndorf, R and Holm, L and Hou, J and Hover, JR and Huang, YT and Ispano, E and Jabin, S and Jain, A and Jones, DT and Kaewphan, S and Kagaya, Y and Kanerva, J and Kihara, D and Kulmanov, M and Kumar, S and Kurgan, L and Lavezzo, E and Lees, J and Liao, WH and Lin, H and Linial, M and Littmann, M and Liu, L and Liu, T and Liu, YW and Makrodimitris, S and Manuto, L and Martelli, PL and Mchardy, AC and Merino, GA and Milone, DH and Mishra, S and Mofrad, MRK and Moi, D and Nakamura, T and Narsapuram, VK and Nugnes, MV and Obayashi, T and Ofer, D and Paccanaro, A and Perovic, VR and Petrini, A and Politano, G and Raimondi, D and Rappoport, N and Rehman, HU and Reijnders, MJMF and Reinders, MJT and Renfrew, PD and Rifaioglu, AS and Romero, AE and Saraswathi, A and Savojardo, C and Scholes, HM and Schoof, H and Shen, Y and Sillitoe, I and Stegmayer, G and Stern, A and Tiittanen, H and Toonsi, S and Toppo, S and Toronen, P and Torres, M and Trucco, G and Valentini, G and Veljkovic, N and Vesztrocy, AW and Vidulin, V and Villegas-Morcillo, A and Virtanen, A and Vranken, W and Vucetic, S and Wan, C and Wang, Z and Wass, MN and Waterhouse, RM and Ben Yahia, S and Yang, H and Yao, S and You, R and Yunes, J and Zhang, C and Zhang, Y and Zhao, C and Zhou, X and Zhu, YH and Zhu, S and Zhu, H and Özsari, G and Rost, B and Orengo, C and Robinson-Rechavi, M and Durand, D and Brenner, SE and Greene, CS and Mooney, SD and Tosatto, SCE and Friedberg, I and Radivojac, P},
title = {On the state of protein function prediction: a report on the fourth CAFA challenge.},
journal = {bioRxiv : the preprint server for biology},
volume = {},
number = {},
pages = {},
pmid = {42146430},
issn = {2692-8205},
abstract = {BACKGROUND: The Critical Assessment of Functional Annotation (CAFA) is a community effort held to understand the field of computational protein function prediction. Every three years, since 2010, the organizers initiate an experiment to collect function predictions on a large set of proteins and then evaluate the performance of predicting methods on a subset of proteins that have accumulated experimental annotations between the submission deadline and the evaluation time. CAFA provides an independent and rigorous assessment of the current state of the art, thus leveling the playing field, highlighting successes, revealing bottlenecks, and offering a forum for the exchange of ideas in protein science. Here, we report the results of the fourth CAFA experiment (CAFA4).

RESULTS: CAFA4 featured the participation of 148 methods from 70 research groups on a total of 46,205 unique proteins over a 5-year annotation accumulation phase, the longest in any CAFA. In a comparison across CAFA2-CAFA4 methods, the prediction of Gene Ontology (GO) terms has clearly improved across all three GO aspects and traditional evaluation settings. While not achieving the first rank, several CAFA2 and CAFA3 methods featured in the top ten methods in many evaluations, suggesting that earlier methods still hold relevance. The performance is weaker in the newly introduced "partial knowledge" evaluation category (proteins with experimental annotations before submission deadline that gained additional annotations in the same GO aspect during the annotation accumulation phase), highlighting the need for a new class of methods. The rankings of the methods were stable over the years in traditional evaluation settings, but less so in the new partial knowledge evaluation. Overall, the field continues to progress with some influx of new participants. Sustained efforts will be necessary to substantially advance it.},
}

@article {pmid42691111,
year = {2026},
author = {Kösters, LM and Karbstein, K and Hodač, L and Albreht, L and Sahuquillo Balbuena, E and Botello, D and Hardy, O and Odufuwa, P and Pardo Otero, E and Phang, A and Pimentel, M and Piñeiro, R and Smith, J and Wilkie, P and Mäder, P and Wäldchen, J},
title = {Balanced DNA interpolation improves learning of genetic distance-informed embeddings in plants.},
journal = {PLoS computational biology},
volume = {22},
number = {9},
pages = {e1014722},
pmid = {42691111},
issn = {1553-7358},
mesh = {Computational Biology/methods ; Machine Learning ; *DNA, Plant/genetics ; Phylogeny ; *Plants/genetics/classification ; Neural Networks, Computer ; *Sequence Analysis, DNA/methods ; Models, Genetic ; },
abstract = {In taxonomic research, traditional phylogenetic tree and structure analyses of genetic data are increasingly complemented by machine-learning-based identification and representation learning. Although the amount of DNA data needed to train state-of-the-art machine learning models often exceeds what can realistically be collected and sequenced in biological studies, the number of samples can be extended artificially through data augmentation. Genetic data augmentation usually refers to the introduction of random base variations, translocations, and reverse complementing. These augmentations do not take into account the inherent structures of populations and species, potentially blurring the lines between entities within genetic datasets. Here, we propose DNAInterpolator, an approach based on interpolation of DNA sequences within a given dataset that presents a neighbor-guided alternative to random mutations. We tested interpolation as an augmentation technique using four flowering plant datasets and an artificial neural network trained to predict genetic distances between paired samples. To address unequally distributed distances within our training datasets, we examined the effect of balancing the distance distribution by curating interpolated sequences. We found that balancing helps models capture genetic distances across the full distance range by strengthening performance in underrepresented regions of the distribution. Our new approach leverages the potential of taxonomic DNA datasets for modern machine learning applications.},
}

Computational Biology/methods
Machine Learning
*DNA, Plant/genetics
Phylogeny
*Plants/genetics/classification
Neural Networks, Computer
*Sequence Analysis, DNA/methods
Models, Genetic

@article {pmid42734183,
year = {2026},
author = {Chen, W and Pan, Y and Chen, M and Zhou, S and Liu, X and Sun, M and Yang, Z and Zhi, Y},
title = {Integrated metagenomic and metabolomic analysis identifies severity-specific inflammatory and metabolic signatures in post-stroke depression.},
journal = {Gut microbes},
volume = {18},
number = {1},
pages = {2726620},
pmid = {42734183},
issn = {1949-0984},
mesh = {Humans ; *Stroke/complications/metabolism ; Metabolomics ; Metagenomics ; *Depression/metabolism/etiology/microbiology ; Female ; Multiomics ; Male ; *Gastrointestinal Microbiome ; Inflammation/metabolism ; Middle Aged ; Aged ; Cytokines/blood ; Bacteria/classification/genetics/isolation & purification ; Dysbiosis/microbiology ; Biomarkers/blood ; },
abstract = {Post-stroke depression (PSD) is a common complication that significantly impacts patient prognosis. This study aimed to systematically characterize the associations among gut microbial ecology, metabolic profiles, and inflammatory responses across different severities of PSD. We conducted metagenomic sequencing, non-targeted metabolomics, and serum cytokine analysis (IL-1β, IL-6, IL-10, IL-18, TNF-α, IFN-γ, and CRP) in 91 patients with varying degrees of PSD and non-PSD controls. Bioinformatics analyzes were employed to construct multi-omics association networks and machine learning models. Results indicated that PSD patients exhibited significantly increased gut microbiota alpha-diversity, suggesting dysbiosis. Mild depression was characterized by compensatory neural signaling activation, whereas the moderate depression group exhibited abnormalities in tryptophan/indole metabolism, oxidative stress-related metabolic imbalances, and functional decompensation. Further analyzes suggested that Alistipes, Blautia_A, Evtepia gabavorous, and Lachnospira were associated with inflammatory features, GABA-related metabolic alterations, aromatic amino acid/indole metabolism, and lipid-amino acid metabolism, respectively. Under a more rigorous 10-fold cross-validation framework, the performance of different multi-omics combination models showed heterogeneity; however, some combinations still demonstrated superior discriminatory ability compared to single-omics approaches. This study provides multi-omics clues suggesting associations between different PSD severity levels and features such as increased Alistipes abundance, reduced antioxidant capacity, and altered tryptophan metabolism. It provides candidate biomarker combinations that may be useful for PSD stratification and suggests that the gut microbiome may represent a potential target for future PSD intervention. In summary, PSD may be associated with dynamic alterations along the "gut-brain-inflammation-metabolism" axis. These findings provide integrated evidence for microbial, metabolic, and inflammatory abnormalities across different PSD severity levels, but still require validation in larger samples, longitudinal cohorts, and mechanistic studies.},
}

Humans
*Stroke/complications/metabolism
Metabolomics
Metagenomics
*Depression/metabolism/etiology/microbiology
Female
Multiomics
Male
*Gastrointestinal Microbiome
Inflammation/metabolism
Middle Aged
Aged
Cytokines/blood
Bacteria/classification/genetics/isolation & purification
Dysbiosis/microbiology
Biomarkers/blood

@article {pmid42734769,
year = {2027},
author = {Hussein, MA and Abdelnaser, A},
title = {Integrative Transcriptomic Network Modeling Coupled with Patient-Derived Validation for Circulating lncRNA Biomarker Discovery in NAFLD: A Comprehensive Workflow.},
journal = {Methods in molecular biology (Clifton, N.J.)},
volume = {3074},
number = {},
pages = {481-527},
pmid = {42734769},
issn = {1940-6029},
mesh = {*Non-alcoholic Fatty Liver Disease/genetics/blood/diagnosis ; Humans ; *RNA, Long Noncoding/genetics/blood ; Biomarkers/blood ; Animals ; *Gene Expression Profiling/methods ; Workflow ; Computational Biology/methods ; *Transcriptome ; *Gene Regulatory Networks ; Mice ; MicroRNAs/genetics ; },
abstract = {.: Nonalcoholic fatty liver disease (NAFLD) is a significant global health concern, impacting roughly 25% of people and leading to chronic liver conditions. It involves excess fat accumulation in the liver without significant alcohol intake and can develop into nonalcoholic steatohepatitis (NASH), fibrosis, or cirrhosis. While liver biopsy remains the gold standard for diagnosis, its invasive nature and associated risks restrict its routine use. Noninvasive biomarkers, such as serum ALT, AST, and various composite scores, are available; however, their clinical usefulness is often limited by variable sensitivity and specificity across different populations and disease stages. To overcome these limitations, this chapter offers a comprehensive, reproducible protocol for identifying and clinically validating circulating long noncoding RNA (lncRNA) biomarkers for NAFLD and NASH. The workflow integrates bioinformatic analysis of four Gene Expression Omnibus (GEO) transcriptomic datasets (two human and two murine cohorts) with network-based inference to construct a NAFLD-related lncRNA-miRNA-mRNA coregulatory network. This is followed by candidate prioritization based on cross-dataset evidence and a literature review. Candidate lncRNAs are then experimentally validated in patient-derived blood samples using quantitative PCR (qPCR), and their diagnostic performance is quantified using receiver operating characteristic (ROC) analysis, both as individual markers and multi-lncRNA panels. Circulating lncRNAs are detected in diverse biofluids, remain stable under standard preanalytical conditions, and are often tissue-specific. This integrated approach facilitates the development of more precise, scalable, and noninvasive biomarkers for NAFLD/NASH. The chapter further emphasizes essential translational steps, including preanalytical standardization, analytical validation, and validation in independent patient cohorts with relevant clinical endpoints.},
}

*Non-alcoholic Fatty Liver Disease/genetics/blood/diagnosis
Humans
*RNA, Long Noncoding/genetics/blood
Biomarkers/blood
Animals
*Gene Expression Profiling/methods
Workflow
Computational Biology/methods
*Transcriptome
*Gene Regulatory Networks
Mice
MicroRNAs/genetics

@article {pmid42736147,
year = {2026},
author = {Yuan, XH and Chen, Y and Kuang, ZY and Fang, LY and Wang, Y and Xie, Y and Fang, YH and Wang, RX and Sui, BL and Zhang, Y},
title = {[Analysis of the global disease burden of cervical cancer in women aged 65 years and older based on the global burden of disease database].},
journal = {Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]},
volume = {60},
number = {9},
pages = {1436-1446},
doi = {10.3760/cma.j.cn112150-20260207-00118},
pmid = {42736147},
issn = {0253-9624},
support = {CI2023C025YL//Key Collaborative Research Projects of Scientific and Technological Innovation Project/ ; ZZ17-RKX-01//Fundamental Research Funds for the Central Public Welfare Research Institutes of the China Academy of Chinese Medical Sciences/ ; },
mesh = {Female ; Humans ; *Uterine Cervical Neoplasms/epidemiology ; *Global Burden of Disease ; Aged ; Risk Factors ; Databases, Factual ; Incidence ; },
abstract = {Objective: Based on the Global Burden of Disease (GBD) database, this study analyzed the disease burden and attributable risk factors of cervical cancer among women aged 65 years and older globally from 1990 to 2021, and explored its association with the Socio-demographic Index (SDI) as well as age-specific distribution characteristics. Methods: This ecological study utilized the GBD database to extract data on the number of incident cases, age-standardized incidence rate (ASIR), number of deaths, age-standardized mortality rate (ASMR), disability-adjusted life years (DALY), age-standardized DALY rate (ASDR), and risk factor-attributable burden for cervical cancer in women aged ≥65 years from 1990 to 2021. The average annual percent change (AAPC) was calculated using Joinpoint regression analysis. Spearman rank correlation analysis was employed to assess the association between ASIR, ASDR, and SDI. Locally weighted regression (LOESS) was applied to fit smooth curves to illustrate expected trends across different SDI levels. Results: From 1990 to 2021, the ASIR of cervical cancer among older women decreased from 41.23/100 000 (95%UI: 37.71/100 000-44.45/100 000) to 32.43/100 000 (95%UI: 28.61/100 000-35.57/100 000) [AAPC:-0.8(95%CI:-0.9 to -0.6)]. The ASMR declined from 35.45/100 000 (95%UI: 32.24/100 000-38.54/100 000) to 25.20/100 000 (95%UI: 22.23/100 000-27.62/100 000) [AAPC:-1.1(95%CI:-1.2 to -1.0)]. The ASDR decreased from 658.01/100 000 (95%UI: 602.42/100 000-714.72/100 000) to 467.29/100 000 (95%UI: 416.92/100 000-510.34/100 000) [AAPC:-1.1(95%CI:-1.2 to -0.9)]. A negative correlation was observed between cervical cancer burden and SDI globally and across the 21 GBD regions (r=-0.881 4, P<0.001), with a greater burden in regions with lower SDI among the 204 countries and territories (r=-0.713 4, P<0.001). The number of incident cases, deaths, and DALYs in the 65-69 and 70-74 age groups accounted for 64.82%, 56.22%, and 68.96% of the total for women aged ≥65 years, respectively. The attributable risk burden from smoking [AAPC:-2.1(95%CI:-2.2 to -2.0)] and high-risk sexual behavior [AAPC:-1.1(95%CI:-1.2 to -0.9)] both decreased over time, this declining trend in attributable risk burden for smoking and high-risk sexual behavior was also observed with increasing age. Conclusions: Population aging has contributed to an increase in the absolute burden of cervical cancer among older women, with those aged 65-74 years identified as a key population requiring attention. Expanding the coverage and age range of screening programs is essential for further reducing the the burden of cervical cancer.},
}

Female
Humans
*Uterine Cervical Neoplasms/epidemiology
*Global Burden of Disease
Aged
Risk Factors
Databases, Factual
Incidence

@article {pmid42736335,
year = {2026},
author = {Di Paolo, LD and Clark, A and Wachter, T},
title = {Educating minds with generative AI.},
journal = {Communications psychology},
volume = {4},
number = {1},
pages = {},
pmid = {42736335},
issn = {2731-9121},
abstract = {Generative artificial intelligence (GenAI) is rapidly entering education, framed as a tool for efficiency and personalization. In this Perspective, we argue this obscures a deeper transformation. Schools are cognitive ecologies in which tools and social practices actively shape learning. GenAI restructures this ecology, redistributing epistemic labour, consolidating pedagogical functions, and reorganizing how knowledge is accessed, produced, and evaluated. Unlike most educational technologies, it is active, persistent, and generalist. We identify two enduring misalignments: a pedagogical gap between learning sciences and AI design, and a goal gap between measurable performance and developmental aims. Both gaps reflect logics already embedded within existing educational systems organized around efficiency, standardization, and control. GenAI does not introduce but risks entrenching and amplifying these gaps. Rather than accommodating GenAI through technical adjustments, we propose treating it as a diagnostic opportunity to redesign schooling for embodied, collaborative, and distinctly human forms of learning.},
}

@article {pmid42737495,
year = {2026},
author = {Yu, E and Holding, ML and Huang, R and Chan, A and Teney, C and Kretz, CA},
title = {PhageScout: Protease Cleavage Site Prediction Using an Experimental Substrate Phage Display Motif-Based Approach.},
journal = {International journal of molecular sciences},
volume = {27},
number = {17},
pages = {},
pmid = {42737495},
issn = {1422-0067},
support = {/CAPMC/CIHR/Canada ; //Natural Sciences and Engineering Research Council of Canada/ ; /NH/NIH HHS/United States ; },
mesh = {Peptide Library ; Substrate Specificity ; *Cathepsin G/metabolism/chemistry ; Humans ; Proteolysis ; *Computational Biology/methods ; Amino Acid Sequence ; *Peptide Hydrolases/metabolism/chemistry ; },
abstract = {Identification of protease cleavage sites is essential for understanding biological regulation and disease mechanisms, yet many predictive approaches rely on annotated substrates and curated databases, limiting performance for poorly characterized proteases. We present PhageScout, a framework for database-independent generation of protease-specific features to predict cleavage sites using de novo experimental substrate phage display screening. We screened a randomized 5-mer phage display library against two neutrophil serine proteases (cathepsin G, elastase). Cleaved peptides generated position weight matrices (PWMs) and peptide enrichment scores to evaluate cleavage-site likelihood across substrate sequences. Sequence-derived scores were integrated with structural features, including accessibility and flexibility, using XGBoost classification models. Performance was benchmarked against annotated cleavage sites from the MEROPS peptidase database as reference data. Phage-derived PWM scores alone captured protease preferences and discriminated cleavage sites from background sites. Without model fitting, PWM scores achieved an area under the curve (AUC) of 0.756 (95%CI: 0.714-0.797) (cathepsin G) and 0.787 (95%CI: 0.753-0.821) (elastase). Combining broad and specific phage-derived scores improved cathepsin G prediction (AUC = 0.783), whereas this improvement was not observed for elastase. Compared to only phage-derived features, XGBoost models integrating phage sequence and structural features provided modest gains for elastase (AUC = 0.775 to 0.806), with phage-derived features ranking among the strongest predictors, but not cathepsin G (AUC = 0.702 to 0.710). Our findings demonstrate that PhageScout can use experimentally derived cleavage signatures to generate protease-specific predictive features and prioritize protease cleavage sites, providing a framework that warrants further validation across diverse proteases and biological contexts.},
}

Peptide Library
Substrate Specificity
*Cathepsin G/metabolism/chemistry
Humans
Proteolysis
*Computational Biology/methods
Amino Acid Sequence
*Peptide Hydrolases/metabolism/chemistry

@article {pmid42741543,
year = {2026},
author = {Hollingsworth, PM and Fantoni, K and Koureas, D and Arakelyan, M and Aravanopoulos, FA and Bacela-Spychalska, K and Ballesteros-Mejia, L and Beja, P and Bonchev, GN and Bou Dagher Kharrat, M and Bourlat, SJ and Chkhartishvili, T and Čiampor, F and Costa, FO and Csabai, Z and Dankova, G and Ekrem, T and Emerson, B and Ferreira, S and Gadawski, P and Gkagkavouzis, K and Hebert, PDN and Ichim, MC and Jelić, M and Kaitetzidou, E and Kalamujić Stroil, B and Kamenova, S and Keskin, E and Laini, A and Lawniczak, M and Madesis, P and Montagna, M and Mutanen, M and Peters, RS and Price, B and Rewicz, T and Rougerie, R and Rulik, B and Szucsich, N and Vos, R and Goodall-Copestake, WP and Triantafyllidis, A and Grabowski, M},
title = {Species identification, discovery, and biomonitoring: Strategic priorities for DNA barcoding in Europe, set in a global context.},
journal = {Bioscience},
volume = {76},
number = {9},
pages = {776-786},
pmid = {42741543},
issn = {0006-3568},
abstract = {The International Barcode of Life (iBOL) initiative is building a globally accessible DNA-based system for species identification and discovery. This paper outlines the mission and strategic priorities for the iBOL community in Europe (iBOL Europe), set in a global context. The mission of iBOL Europe is to produce, curate, and provide access to a complete DNA barcode reference library of European eukaryotic biodiversity, catalyzing species discovery and enabling comprehensive, harmonized species identification and biomonitoring, and supporting the global iBOL program. Immediate objectives include completing reference libraries for priority taxa, democratizing access to sequencing technologies, and strengthening a distributed community of practice. Key actions identified span five thematic areas: community building, sample collection and taxonomic verification, sequencing infrastructure, data management, and mainstreaming DNA-based approaches to meet societal needs. The strategy emphasizes integration with European research infrastructures to ensure long-term sustainability and resilience for biodiversity genomics in Europe.},
}

@article {pmid42742455,
year = {2026},
author = {Chen, J and Ren, S and Tong, Z and Guan, Z and Zhang, W and Ren, S and Ma, L and Kong, L and Chong, H and Wang, Z and Yong, X and Yan, S and Wang, Y and Zhou, J},
title = {An integrated culturomic and genomic database and analysis platform for methanogenic archaea.},
journal = {Database : the journal of biological databases and curation},
volume = {2026},
number = {},
pages = {},
doi = {10.1093/database/baag055},
pmid = {42742455},
issn = {1758-0463},
support = {U24A20543//National Natural Science Foundation of China/ ; 32371538//National Natural Science Foundation of China/ ; JASTIF, CX [23]1038//Jiangsu Agriculture Science and Technology Innovation/ ; XTSW4C01//Jiangsu Synergetic Innovation Center for Advanced Bio-Manufacture/ ; },
mesh = {*Genome, Archaeal/genetics ; *Databases, Genetic ; *Archaea/genetics/metabolism ; *Genomics/methods ; Biocuration ; *Methane/metabolism ; },
abstract = {Methanogenic archaea research is challenged by limited strain resources, fragmented genomic data, inconsistent genome quality, substantial uncultured lineages, and difficulties in laboratory culturing, hindering advances in biogas production, climate mitigation, and microbial ecology. These archaea play crucial roles in global carbon cycling and anaerobic environments, yet scattered data and unculturable strains limit systematic studies and applications. To address this, we created MethArDB (Methanogenic Archaeal Genome Database), a specialized database for methanogenic archaea, compiling 3919 genomes, 87 host-associated plasmids, and 42 phages, with standardized quality classifications (complete, scaffold, draft), protein sequences, and metadata on geography, habitats, metabolism, and inheritable elements. Integrated MethArCT (Methanogenic Archaeal Culturomics Toolkit) employs a dual-threshold orthologous/paralogous protein analysis to evaluate metabolic pathway completeness, predicting cultivation parameters and suggesting candidate cultivation strategies, including potential medium formulations and conditions, to support strain isolation. Overall, MethArDB and MethArCT form an integrated platform combining genomics and culturomics to facilitate methanogenic archaea research. Database URL: http://methardb.cn.},
}

*Genome, Archaeal/genetics
*Databases, Genetic
*Archaea/genetics/metabolism
*Genomics/methods
Biocuration
*Methane/metabolism

@article {pmid42294640,
year = {2026},
author = {Wang, G and He, S and Wang, Z and Pang, A and Sun, X and Liu, R and Wang, F and Chen, S and Bian, Z and Wei, D and Wu, L and Zhao, S and Ji, Q and Sun, Y and Sun, N and Fujaya, Y and Tang, B and Tan, K and Zhang, D and Chen, L},
title = {T2T Genome Assembly and Multi-Omics Data Reveal Terrestrial Adaptation and Mucus Biosynthesis in Tropical Leatherleaf Slug (Laevicaulis alte).},
journal = {Advanced science (Weinheim, Baden-Wurttemberg, Germany)},
volume = {13},
number = {51},
pages = {e76129},
pmid = {42294640},
issn = {2198-3844},
support = {32070526//National Natural Science Foundation of China/ ; 32270487//National Natural Science Foundation of China/ ; BE2020673//Key Research and Development Programme of Jiangsu Province/ ; 24KJA240003//Major Project of Jiangsu Higher Education Institutions for Basic Science (Natural Science) Research/ ; },
mesh = {Animals ; *Mucus/metabolism ; *Adaptation, Physiological/genetics ; Multiomics ; *Gastropoda/genetics/metabolism/physiology ; *Genome/genetics ; Genomics/methods ; Transcriptome/genetics ; },
abstract = {Laevichaulis alte is a slug in the order Systellommatophora that evolved from aquatic ancestors and now faces strong challenges from desiccation, respiration on land, and novel pathogens. Its mucus is essential for water retention, locomotion, and defense. To link terrestrial adaptation with mucus biosynthesis, we generated a gap-free genome assembly of L. alte using PacBio HiFi reads, Oxford Nanopore ultra-long reads, and Hi-C data. The genome shows low heterozygosity and holocentromeric chromosomes. Functional metabolomics revealed marked metabolic shifts between L. alte and the closely related aquatic species Peronia verruculata. In L. alte, differential metabolites were enriched in lipid metabolism, immune regulation, and stress response pathways, consistent with life in a dry and microbe-rich terrestrial environment. Comparative genomics and transcriptomics identified candidate genes linked to mucus secretion and physiological adaptation, including VEGF, ASGR2, and COL6A6. Further analyses highlighted the vascular endothelial growth factor (VEGF) gene family as a key regulator connecting angiogenesis, tissue remodeling, and mucus production pathways in L. alte. Together, this gap-free genome and multi-omics dataset establish a molecular framework that links genomic innovation, mucus biology, and terrestrial adaptation in Systellommatophora, and they offer a basis for understanding ecological niche specialization in land molluscs.},
}

Animals
*Mucus/metabolism
*Adaptation, Physiological/genetics
Multiomics
*Gastropoda/genetics/metabolism/physiology
*Genome/genetics
Genomics/methods
Transcriptome/genetics

@article {pmid42732887,
year = {2026},
author = {Diaz, XN and Lin, A and Babcock, S and Salvi, A and Malveau, S and Mann, NC and Goldstick, JE and Carter, PM and Cook, JNB and Song, X and Wei, R and Lundrigan, AM and Beckstead, R and Hagos, B and Newgard, CD},
title = {Association of Community Factors, Firearm Laws, and Pediatric Firearm Injuries.},
journal = {Pediatrics},
volume = {},
number = {},
pages = {},
doi = {10.1542/peds.2025-074149},
pmid = {42732887},
issn = {1098-4275},
abstract = {OBJECTIVE: To conduct a zip code-level analysis of community measures and firearm legislation associated with pediatric fatal and nonfatal firearm injuries, ordered by strength of association.

METHODS: This was an ecological study of 46 states and the District of Columbia from January 1, 2018 to December 31, 2022. We examined 29 zip code-level variables from the American Community Survey, Social Vulnerability Index, Child Opportunity Index, Giffords Scorecard on Gun Safety Legislation, and the Structural Racism Effect Index. The outcome was the annual incidence of fatal and nonfatal pediatric firearm injuries in each zip code, as included in the National Emergency Medical Services (EMS) Information System (NEMSIS, all 9-1-1 EMS responses) and the Gun Violence Archive (GVA, all police-reported and publicly reported firearm events). We used negative binomial regression and machine learning analysis to evaluate predictors.

RESULTS: There were 28 631 zip codes included in the analysis. The average annual incidence of pediatric firearm injuries ranged from 0 to 16 per zip code in NEMSIS, with 1288 (4.5%) zip codes having at least one firearm incident. In GVA, annual incidence ranged from 0 to 35 per zip code, with 1180 (4.1%) zip codes having firearm events. Predictors of firearm injuries included structural racism (in social cohesion, built environment, employment, housing, and criminal justice), urbanicity, household income, unemployment, educational opportunities, and gun laws for background checks and firearm access.

CONCLUSIONS: Modifiable community characteristics and certain firearm legislation are associated with pediatric firearm injuries, providing focus areas for community planning, public health, and policy changes to reduce firearm-related injuries and deaths.},
}

@article {pmid42733080,
year = {2026},
author = {Li, C and Wang, Y and Zhou, ASK and Pan, X and Zhu, Y and Zhang, X and Chen, T and Xiong, A and Ho, YW and Liu, J and Zhou, Z and Wang, J and Adyel, TM and Fang, JK and Bank, MS and Rillig, MC and Jin, LN},
title = {Unraveling the coastal marine plastisphere archaeome.},
journal = {Nature communications},
volume = {17},
number = {1},
pages = {},
pmid = {42733080},
issn = {2041-1723},
mesh = {*Archaea/genetics/classification ; *Seawater/microbiology ; Crenarchaeota/genetics/classification ; Phylogeny ; Euryarchaeota/genetics/classification ; Metagenomics ; Ecosystem ; Biodiversity ; Methane/metabolism ; },
abstract = {Plastic pollution has created an expanding anthropogenic microbial niche, the plastisphere, raising questions about microbial ecology and associated impacts. Archaea, the third domain of life with fundamental ecological and evolutionary significance, remain poorly understood in this habitat. Here, using paired plastic debris and bulk-water samples from coastal marine ecosystems, key archaeal habitats increasingly threatened by plastic pollution, we characterize the plastisphere archaeome through archaeal amplicon sequencing and metagenomics. We show that the archaeome is significantly reshaped in the plastisphere, exhibiting higher taxonomic diversity, greater community heterogeneity, and selective enrichment of Euryarchaeota and Crenarchaeota. Archaeal genes involved in methane, nitrogen, and sulfur cycling are enriched in the plastisphere. Taxonomic and functional divergence between the plastisphere and bulk water increases with anthropogenic chemical stress. These findings suggest that plastic pollution could alter marine archaeal diversity, biogeography, and biogeochemical potential, extending understanding of plastisphere impacts to the archaeal domain.},
}

*Archaea/genetics/classification
*Seawater/microbiology
Crenarchaeota/genetics/classification
Phylogeny
Euryarchaeota/genetics/classification
Metagenomics
Ecosystem
Biodiversity
Methane/metabolism

@article {pmid42734095,
year = {2026},
author = {Al-Shayeb, SMA and Aguilar, C and Yousefi, M and George, Z and Pfadenhauer, WG and Nunez-Mir, GC},
title = {Invasive Flora Repository: Traits, environmental tolerances, and invasion history of invasive plant species in the United States.},
journal = {Ecology},
volume = {107},
number = {9},
pages = {e70492},
doi = {10.1002/ecy.70492},
pmid = {42734095},
issn = {1939-9170},
support = {23-01443//Walder Foundation/ ; },
mesh = {*Introduced Species ; United States ; *Plants/classification ; Databases, Factual ; },
abstract = {Species traits may serve as proxies for ecological mechanisms that drive invasion success and, therefore, are a promising framework for investigating invasion processes and predicting future outcomes of species that have been recently introduced. However, although many efforts exist to document species traits of plants, a centralized database of invasive plant species in the United States is not currently available. We have compiled traits data for 1024 invasive plants in the United States across 28 species characteristics, including functional morphological, reproductive, and dispersal traits, as well as characteristics related to the invasion history of the species, such as origin and invasion pathways. We identified our list of invasive plant species from EDDMapS, a web-based national network that aggregates observation records and distribution data of invasive species and pests in the United States and Canada, and the U.S. Register of Introduced and Invasive Species (US-RIIS). Traits data were collected from various online factsheet databases, including the CABI Compendium: Invasive Species, the USDA Plants Database, the North Carolina State Extension Plant Toolbox, the UC-Berkeley Jepson Herbarium, the USFS-Fire Effects Information System, and University of Michigan's CLIMBERS. We aimed to create a comprehensive database on traits of invasive species that can be utilized by researchers and conservationists and serve as a reference for those involved in the monitoring and control of invasive species. These data are available for reuse under CC BY 4.0 (Attribution) licensing.},
}

*Introduced Species
United States
*Plants/classification
Databases, Factual

@article {pmid42238416,
year = {2026},
author = {Kwon, J and de Vries, EM and Lemey, P and Li, K and Breban, M and Laing, K and Ferguson, D and Schulz, W and Oliveira, CR and Bont, LJ and Pitzer, VE and Weinberger, DM and Grubaugh, ND and Hill, V and Redmond, S},
title = {Genomic surveillance of a deeply sampled local population reveals age-specific drivers of RSV transmission.},
journal = {medRxiv : the preprint server for health sciences},
volume = {},
number = {},
pages = {},
pmid = {42238416},
support = {R01 AI137093/AI/NIAID NIH HHS/United States ; R01 AI179874/AI/NIAID NIH HHS/United States ; },
abstract = {Respiratory syncytial virus (RSV) disproportionately causes severe infections among infants and older adults, yet the key age group responsible for viral spread to other age groups remains poorly defined. While current immunization approaches effectively reduce disease severity among the most vulnerable, identifying the core drivers of infection is essential to effectively disrupt population-level transmission. By generating 910 whole-genome viral sequences of RSV from all age groups (<1 to 65+ years) in Connecticut, we identified that children aged 12-35 months are the primary drivers of viral transmission to other age groups. This group significantly shapes the genetic diversity of circulating strains. Furthermore, we found that RSV is introduced into the community through frequent and independent entries from other US regions throughout the year, rather than through a single explosive seasonal introduction or long-term local persistence. Ultimately, our findings justify prevention strategies that expand beyond reducing disease burden to actively prioritizing the reduction of transmission and infection.},
}

@article {pmid42539208,
year = {2026},
author = {Lucas, JK and Hebbar, P and Liao, WW and Macias-Velasco, JF and Novak, AM and Asri, M and Balacco, JR and Blair, AP and Bolognini, D and Ebler, J and Gardner, JMV and Geleta, M and Groza, C and Guarracino, A and Heringer, P and Hickey, G and Koren, S and Lu, S and Marin, MG and Markovic, C and Mastoras, M and Mayoud, C and McNulty, B and Menendez, JM and Minkina, A and Mohanty, SK and Monlong, J and Munson, KM and Oshima, KK and Porubsky, D and Ranallo-Benavidez, TR and Raveane, A and Seligmann, WE and Shemirani, R and Suzuki, Y and Tierney, JAS and Violich, I and Yoo, D and Zhuo, X and Albracht, D and Alexandrov, IA and Allen, J and Alsheikh-Ali, AA and Andrews, C and Antipov, D and Antonacci-Fulton, L and Arguello, A and Ayllon, M and Belter, EA and Bender, HD and Bonini, KE and Buonaiuto, S and Cao, S and Mc Cartney, AM and Chang, PC and Chang, X and Cheema, J and Ciofi, C and Clawson, H and Cody, S and Colonna, V and Conwell, HC and Diekhans, M and Diroma, MA and Dong, Z and Dubocanin, D and Eizenga, JM and Eskandar, P and Ferro, E and Ford, SM and Ford, WW and Frankish, A and Freeberg, MA and Fu, Q and Gao, S and Gao, Y and Garcia, GH and Garcia, OA and Garza, JE and Ghorbani, M and Graves-Lindsay, TA and Gu, B and Haggerty, L and Hansen, NF and Hao, Y and Hillaker, TL and Hossain, SN and Huang, N and Hunt, SE and Hunt, T and Jafarzadeh, N and Jain, N and Jehangir, M and Jiang, J and Kim, J and Koo, B and Kremitzki, M and Li, D and Li, R and Lin, J and Liu, T and Lorig-Roach, R and Loucks, H and Loveland, JE and Lu, J and Ma, W and Marsico, FL and Medico, JA and Mokrab, Y and Moosa, S and Moreno-Ochando, A and Morishita, S and Mudge, JM and Mwaniki, N and Nassir, N and Natali, C and Negi, S and Ni, L and Okamoto, F and Owa, C and Paez, S and Peano, C and Pickett, BD and Pignata, L and Prodanov, T and Radhakrishnan, A and Raney, BJ and Rechtsteiner, A and Ren, L and Ryabov, F and Sacco, S and Salehi, F and Sehgal, A and Shabani, M and Shahatit, S and Shivakumar, VS and Sinha, S and Smeds, L and Solar, SJ and Sollitto, M and Soranzo, N and Suner, MM and Söylev, A and Tomlinson, C and Tricomi, FF and Ungaro, MT and Varki, R and Walenz, BP and Wang, C and Wang, LE and Wenger, AM and Whelan, CV and Xin, Z and Xu, Z and Zhang, W and Zhou, Y and Zunino, G and Altemose, N and Barthel, FP and Boucher, C and Bourque, G and Carroll, A and Cechova, M and Chaisson, MJP and Cheng, H and Cook-Deegan, R and Doerr, D and Durbin, R and Fiston-Lavier, AS and Formenti, G and Fullerton, SM and Fulton, RS and Garg, S and Garrison, NA and Green, RE and Greider, CW and Gymrek, M and Haeussler, M and Hashmi, MA and Haussler, D and Ioannidis, AG and Langley, CH and Langmead, B and Lawson, HA and Logsdon, GA and Makova, KD and Martin, FJ and Mitchell, MW and Ossorio, PN and Pisanti, N and Prins, P and Rautiainen, M and Rhie, A and Schatz, MC and Scheinfeldt, LB and Shafin, K and Sirén, J and Stergachis, AB and Tayoun, AA and Uddin, M and Villani, F and Vollger, MR and Ye, K and Eichler, EE and Garrison, E and Hall, IM and Jarvis, ED and Kenny, EE and Li, H and LoTempio, J and Marschall, T and Miga, KH and Phillippy, AM and Wang, T and Paten, B},
title = {HPRC2: A human pangenome reference with near-complete coverage of common genetic variation.},
journal = {bioRxiv : the preprint server for biology},
volume = {},
number = {},
pages = {},
pmid = {42539208},
issn = {2692-8205},
abstract = {A pangenome reference overcomes the inherent limitation of any individual reference genome by integrating the variation present in a population. We present the Human Pangenome Reference Consortium's (HPRC) Release 2 (HPRC2), an openly available, second phase pangenome that is an approximately fivefold expansion in genome number over HPRC Release 1 (HPRC1) and measurable improvement in genome completeness, contiguity, and accuracy. Selecting samples with a principled algorithm prioritising common variant coverage, HPRC2 contributes 460 haplotypes that together capture over 99% of common variation observed in the All of Us Research Program v8 cohort. Combining high-coverage long and ultra-long reads with modern assemblers and polishers, we produce thousands of telomere-to-telomere (T2T) chromosomes, and relative to HPRC1 halve the number of structurally unreliable regions as well as individual base errors per haplotype. We complement the assemblies with whole genome multiple alignments and gene annotations, and derive formal pangenome coordinate systems for addressing off-reference variation, demonstrating that individual human genomes contain more than one hundred thousand variants not succinctly described with respect to existing reference genomes. We also present the first matched long-read backed pantranscriptome and panepigenome at this scale, provide continuous local-ancestry estimates spanning every genome, and outline a host of new tools and applications that leverage the pangenome resource for improved genomics analysis.},
}

@article {pmid42729549,
year = {2026},
author = {Alanazi, EM and Alkhalid, Y and Alqheedan, A and Alzughaibi, S},
title = {National trends in neonatal and under-five mortality in Saudi Arabia (2018-2023): a descriptive ecological analysis using WHO Global Health Observatory data.},
journal = {Frontiers in public health},
volume = {14},
number = {},
pages = {1903279},
pmid = {42729549},
issn = {2296-2565},
mesh = {Saudi Arabia/epidemiology ; Humans ; *Infant Mortality/trends ; World Health Organization ; Infant, Newborn ; *Child Mortality/trends ; Infant ; Global Health ; },
abstract = {BACKGROUND: Neonatal mortality rate (NMR) and under-five mortality rate (U5MR) are core child-survival indicators and are influenced by, though not a direct measure of, the quality of maternal and newborn care. Saudi Arabia has achieved substantial reductions in both indicators over recent decades; however, year-to-year dynamics during the period of Vision 2030 health reforms remain incompletely described using standardized, internationally comparable data.

OBJECTIVE: To describe annual trends in NMR and U5MR in Saudi Arabia from 2018 to 2023 using WHO Global Health Observatory (WHO-GHO) national estimates, and to situate these descriptive trends within the broader regional and international literature on child mortality.

METHODS: A descriptive ecological analysis was conducted using all available national annual estimates (2018-2023; n = 6 per indicator) from WHO-GHO. Descriptive statistics and annual percentage change (APC) were calculated as the primary analytical approach. An unadjusted linear regression of rate on year is reported to characterize the direction and approximate magnitude of change over the period; because six annual observations provide very limited statistical power, regression p-values are reported for completeness only and are not used to support claims of trend presence or absence.

RESULTS: NMR declined from 3.6 to 3.0 per 1,000 live births between 2018 and 2023 (mean 3.27; range 3.0-3.6), a change concentrated mainly in 2020. U5MR fluctuated within a narrow band, falling from 6.1 in 2018 to 5.6 in 2021, rising to 6.4 in 2022, and partially returning to 6.2 in 2023 (mean 5.98; range 5.6-6.4). The unadjusted linear slopes were -0.12/year for NMR and +0.03/year for U5MR.

CONCLUSION: Between 2018 and 2023, Saudi Arabia's NMR and U5MR remained low and comparatively stable by international standards, with a gradual decline in NMR and a transient fluctuation in U5MR centered on 2022. These are descriptive, population-level patterns; the dataset does not include measures of healthcare quality, patient safety, or COVID-19 service disruption, and any interpretation connecting the observed trends to these factors should be regarded as a hypothesis for future research rather than a finding of this study. Future work linking subnational data, cause-specific mortality, and direct quality-of-care indicators to these trends is needed.},
}

Saudi Arabia/epidemiology
Humans
*Infant Mortality/trends
World Health Organization
Infant, Newborn
*Child Mortality/trends
Infant
Global Health

@article {pmid42732105,
year = {2023},
author = {Boyes, D and Boyes, C and , and , and , and , and , and , },
title = {The genome sequence of the Tufted Button, Acleris cristana (Denis & Schiffermüller, 1775).},
journal = {Wellcome open research},
volume = {8},
number = {},
pages = {236},
doi = {10.12688/wellcomeopenres.19508.2},
pmid = {42732105},
issn = {2398-502X},
abstract = {We present a genome assembly from an individual female Acleris cristana (the Tufted Button; Arthropoda; Insecta; Lepidoptera; Tortricidae). The genome sequence is 562.6 megabases in span. Most of the assembly is scaffolded into 31 chromosomal pseudomolecules, including the W and Z sex chromosomes. The mitochondrial genome has also been assembled and is 16.1 kilobases in length. Gene annotation of this assembly on Ensembl identified 12,598 protein coding genes.},
}

@article {pmid42732112,
year = {2026},
author = {Crowley, LM and Sivell, O and Mitchell, R and Sivell, D and Roy, HE and Brown, PMJ and , and , and , and , and , and , and , and , },
title = {The genome sequence of the 16-spot Ladybird, Tytthaspis sedecimpunctata (Linnaeus, 1758) (Coleoptera: Coccinellidae).},
journal = {Wellcome open research},
volume = {11},
number = {},
pages = {402},
pmid = {42732112},
issn = {2398-502X},
abstract = {We present a genome assembly from an individual male Tytthaspis sedecimpunctata (16-spot Ladybird; Arthropoda; Insecta; Coleoptera; Coccinellidae). The genome sequence has a total length of 355.68 megabases. Most of the assembly (88.7%) is scaffolded into 10 chromosomal pseudomolecules, including the X sex chromosome. The mitochondrial genome has also been assembled, with a length of 18.38 kilobases. This assembly was generated as part of the Darwin Tree of Life project, which produces genomes for eukaryotic species found in Britain and Ireland.},
}

@article {pmid42732773,
year = {2026},
author = {Kim, HH and Kim, SJ and Kim, DK and Jeon, EK and Choi, Y and Kim, JM and Kim, SW and Lee, S and Jhon, M and Kim, JW},
title = {Daily Language as an Objective Indicator of Depressive Affective States: A Two-Week Ecological Momentary Assessment Study in Emotional Labor Workers.},
journal = {Psychiatry investigation},
volume = {23},
number = {9},
pages = {1096-1106},
doi = {10.30773/pi.2026.0035},
pmid = {42732773},
issn = {1738-3684},
support = {HCRI25031//Chonnam National University Hwasun Hospital Institute for Biomedical Science/ ; RS-2024-00459226//National Research Foundation of Korea/ ; //Ministry of Science and ICT/ ; },
abstract = {OBJECTIVE: Workers performing emotional labor are at increased risk for depression, yet conventional self-report assessments often lack objectivity and temporal sensitivity. This study aimed to examine whether longitudinal analysis of daily natural language collected through ecological momentary assessment (EMA) can serve as an indicator of depressive affective states and to compare its temporal sensitivity with traditional self-report measures.

METHODS: A total of 400 call center employees completed three voice-recorded free-text entries per day for two weeks using an EMA application. Transcriptions were analyzed using a lexicon-based sentiment approach (Linguistic Inquiry and Word Count [LIWC]) and three large language models (LLMs; GPT-4o-mini, Qwen, and Mistral) under zero-shot prompting. Depressive symptoms were assessed using the Patient Health Questionnaire-9, and neuroticism was measured using both self-reported questionnaires and language-inferred scores.

RESULTS: LLM-derived sentiment scores significantly differentiated groups across levels of depressive symptom burden and consistently outperformed LIWC. Longitudinal analyses demonstrated clear group-level separation, particularly in morning entries, whereas self-reported mood ratings failed to distinguish groups and showed lower adherence over the two-week period. Language-inferred neuroticism exhibited stronger associations with depressive symptoms than self-reported neuroticism. A cumulative model based on morning sentiment scores showed progressively improved discrimination over time, reaching its highest performance on Day 10 (area under the curve=0.75).

CONCLUSION: Daily natural language captures meaningful longitudinal affective dynamics associated with depressive symptoms and may complement conventional self-report assessments as a low-burden and scalable indicator of depressive affective states in real-world occupational settings.},
}

@article {pmid42726808,
year = {2026},
author = {Muresu, R and Rodriguez, M and Squartini, A},
title = {GenBank mining reveals novel insights into Rhizobium phylogeny: Identical 16S rRNA sequences are mainly uncoupled from species designation, host plant, and geographic origin: How this search suggested the definition of a direct 'microbial h-index'.},
journal = {PloS one},
volume = {21},
number = {9},
pages = {e0357973},
doi = {10.1371/journal.pone.0357973},
pmid = {42726808},
issn = {1932-6203},
mesh = {*RNA, Ribosomal, 16S/genetics ; *Rhizobium/genetics/classification ; *Phylogeny ; *Plants/microbiology ; *Databases, Nucleic Acid ; DNA Barcoding, Taxonomic ; },
abstract = {16S rDNA is the historical gold standard for bacterial identification, particularly in metabarcoding approaches reliant on sequence similarity thresholds. We analyzed 6,660 Rhizobium 16S rRNA gene sequences from GenBank to examine the relationship between sequence identity and three metadata: species name, host plant, and geographic origin. Using an iterative BLAST-based pipeline, we detected 116,069 pairwise matches and assessed concordance among sequences (average length 1,328 bp) sharing 100% identity. For those in which the organism name, host plant and country of isolation were present in the record, surprisingly, 66.59% of identical sequence pairs showed full discordance across all three metadata, while only 1.40% shared the same name, host, and country. The most widespread sequence, detected 371 times, was associated with over 56 different host plants across 25 countries and bore multiple species name designations. These results highlight a striking mismatch between the 16S barcode and the taxonomic, ecological, and phenotypic variability it is assumed to reflect, likely arising from the slow evolution of rRNA genes contrasted with the mobility of ecologically relevant genes via horizontal transfer on plasmids, transposons, and phages. Our findings further challenge the limitations of relying on 16S rRNA alone for fine-scale taxonomic and metadata-based inference in capturing the true functional and ecological diversity of bacteria, endorsing the critical importance of polyphasic taxonomic approaches that integrate genomic, phenotypic, and ecological data. An interesting byproduct of the analysis was to realize the possibility of treating these data as if they were 'citations.' The more one finds the same query sequence, the more that sequence can be considered biologically 'cited', i.e., re-proposed elsewhere in the world. Thus, one can also analyze the h-index of such a ranking. In our Rhizobium dataset, we calculated an h-index = 201, meaning the sequence ranked 201st had 202 identical homologues in GenBank. Although the research effort on given species is directly connected with it, this number provides a quantitative indicator of a taxon's sequence recurrence and distribution within public databases, independent of nomenclatural inconsistencies, offering a novel framework for assessing bacterial representation across global datasets.},
}

*RNA, Ribosomal, 16S/genetics
*Rhizobium/genetics/classification
*Phylogeny
*Plants/microbiology
*Databases, Nucleic Acid
DNA Barcoding, Taxonomic

@article {pmid42728906,
year = {2023},
author = {Susanna, D and Saputra, YA and Poddar, S},
title = {The effect of wind speed in increasing COVID-19 cases in Jakarta: a spatial-temporal analysis from March to September 2020.},
journal = {F1000Research},
volume = {12},
number = {},
pages = {145},
doi = {10.12688/f1000research.128908.3},
pmid = {42728906},
issn = {2046-1402},
mesh = {*Wind ; *COVID-19/epidemiology/transmission ; Humans ; Indonesia/epidemiology ; Spatio-Temporal Analysis ; SARS-CoV-2 ; Pandemics ; Geographic Information Systems ; },
abstract = {BACKGROUND: The SARS-CoV-2 virus that causes COVID-19 is described as a highly contagious virus, and wind speed is suspected to be one of the climate elements that play a role in its spread, among others. This study aims to determine the relationship between wind speed and the increase in COVID-19 cases, as well as its potential spread, based on regional characteristics.

METHODS: The design of this study was an ecological study based on time and place to integrate geographic information systems and tested using statistical techniques. The data used were wind speed and weekly COVID-19 cases from March to September 2020. These records were obtained from the special coronavirus website of Jakarta Provincial Health Office and the Indonesian Meteorology, Climatology and Geophysics Agency. The data were analyzed by correlation, graphic/time trend, and spatial analysis.

RESULTS: The wind speed (maximum and mean) from March to September 2020 tended to fluctuate between 1.43 and 6.07 m/s. The correlation test results between the average wind speed and COVID-19 cases in Jakarta showed a strong positive correlation (r = 0.542; p value = 0.002).

CONCLUSIONS: Areas with high wind speeds tended to show an increase in the number of COVID-19 cases, especially in the coastal areas of Jakarta. Wind speed plays a role in increasing the spread of SARS-CoV-2, in people who did not implement health protocols properly. This mechanism can be worsened with support of environmental factors such as air pollution.},
}

*Wind
*COVID-19/epidemiology/transmission
Humans
Indonesia/epidemiology
Spatio-Temporal Analysis
SARS-CoV-2
Pandemics
Geographic Information Systems

@article {pmid42728944,
year = {2026},
author = {Falk, S and Crowley, LM and Grzywacz, A and , and , and , and , and , and , and , },
title = {The genome sequence of the muscid fly, Hydrotaea similis Meade, 1887 (Diptera: Muscidae).},
journal = {Wellcome open research},
volume = {11},
number = {},
pages = {399},
doi = {10.12688/wellcomeopenres.26885.2},
pmid = {42728944},
issn = {2398-502X},
abstract = {We present a genome assembly from an individual female Hydrotaea similis (muscid fly; Arthropoda; Insecta; Diptera; Muscidae). The assembly contains two haplotypes with total lengths of 884.66 megabases and 852.78 megabases. Most of haplotype 1 (90.83%) is scaffolded into 5 chromosomal pseudomolecules. Haplotype 2 was assembled to scaffold level. The mitochondrial genome has also been assembled, with a length of 20.27 kilobases. This assembly was generated as part of the Darwin Tree of Life project, which produces genomes for eukaryotic species found in Britain and Ireland.},
}

@article {pmid42728953,
year = {2026},
author = {Boyes, D and Hutchinson, F and Crowley, LM and Williams, CD and Boyes, C and , and , and , and , and , and , and , },
title = {The genome sequence of the Holly Tortrix, Rhopobota naevana (Hubner, 1817) (Lepidoptera: Tortricidae).},
journal = {Wellcome open research},
volume = {11},
number = {},
pages = {400},
doi = {10.12688/wellcomeopenres.26882.1},
pmid = {42728953},
issn = {2398-502X},
abstract = {We present a genome assembly from an individual male Rhopobota naevana (Holly Tortrix; Arthropoda; Insecta; Lepidoptera; Tortricidae). The genome sequence has a total length of 581.80 megabases. Most of the assembly (99.48%) is scaffolded into 28 chromosomal pseudomolecules, including the Z sex chromosome. The mitochondrial genome has also been assembled, with a length of 16.5 kilobases. This assembly was generated as part of the Darwin Tree of Life project, which produces genomes for eukaryotic species found in Britain and Ireland.},
}

@article {pmid42729027,
year = {2026},
author = {Avelino, C and Karp, R and Baker, A and Metz, S and Sweet, M and Oatley, G and Sinclair, E and Aunin, E and Gettle, N and Santos, C and Paulini, M and Niu, H and McKenna, V and O'Brien, R and , and , and , and , and , },
title = {The chromosomal genome sequence of the lesser starlet coral, Siderastrea radians (Pallas, 1766) (Scleractinia: Rhizangiidae) and its associated microbial metagenome sequences.},
journal = {Wellcome open research},
volume = {11},
number = {},
pages = {493},
doi = {10.12688/wellcomeopenres.27286.1},
pmid = {42729027},
issn = {2398-502X},
abstract = {We present a genome assembly from a specimen of Siderastrea radians (lesser starlet coral; Cnidaria; Anthozoa; Scleractinia; Rhizangiidae). The genome sequence has a total length of 807.19 megabases. Most of the assembly (94.17%) is scaffolded into 14 chromosomal pseudomolecules. The mitochondrial genome has also been assembled, with a length of 19.38 kilobases. Gene annotation of this assembly by Ensembl identified 47 051 protein-coding genes. From the metagenome data, we recovered two binned metagenomes assigned to the bacterial phylum Bacteroidota and class Bacteroidia.},
}

@article {pmid42729039,
year = {2026},
author = {Stewart, JM and Medina, M and Bruckner, A and May, L and Moffitt, ZJ and Lopez, JV and Woodley, CM and Metz, S and Sweet, M and Pruzinsky, N and Oatley, G and Sinclair, E and Aunin, E and Gettle, N and Santos, C and Paulini, M and Niu, H and McKenna, V and O'Brien, R and , and , and , and , and , },
title = {The chromosomal genome sequence of the maze coral, Meandrina meandrites (Linnaeus, 1758) (Scleractinia: Meandrinidae) and its associated microbial metagenome sequences.},
journal = {Wellcome open research},
volume = {11},
number = {},
pages = {469},
doi = {10.12688/wellcomeopenres.27184.1},
pmid = {42729039},
issn = {2398-502X},
abstract = {We present a genome assembly from a specimen of Meandrina meandrites (maze coral; Cnidaria; Anthozoa; Scleractinia; Meandrinidae). The genome sequence has a total length of 551.16 megabases. Most of the assembly (99.25%) is scaffolded into 14 chromosomal pseudomolecules. The mitochondrial genome has also been assembled, with a length of 17.2 kilobases. Gene annotation of this assembly by Ensembl identified 30 464 protein-coding genes. We recovered two bins from the metagenome data.},
}

@article {pmid42721478,
year = {2026},
author = {Warner, S and Stucky, CH and Haegerich, T and Yauger, YJ},
title = {The Cognitive Transaction: Toward a Human Factors Research Agenda for AI in Anesthesia and Perioperative Care.},
journal = {JMIR human factors},
volume = {13},
number = {},
pages = {e102683},
doi = {10.2196/102683},
pmid = {42721478},
issn = {2292-9495},
mesh = {Humans ; *Artificial Intelligence ; *Perioperative Care/methods ; *Anesthesia/methods ; *Ergonomics ; },
abstract = {AI is now embedded in the infrastructure of perioperative care. Risk stratification algorithms, hemodynamic prediction tools, and clinical decision support systems are active in operating rooms at major health systems, and their adoption is accelerating. However, the field has studied model performance and organizational implementation while largely bypassing the moment between them: the real-time encounter in which an anesthesia provider must decide, under active case conditions, what to do with an AI-generated output. We term this the cognitive transaction and argue that it is the fundamental unit of perioperative AI implementation. The perioperative environment presents a specific constellation of conditions that existing human-AI interaction research was not designed to address. Continuous real-time decision demands, extreme time compression, high cognitive load, and consequences that unfold in seconds distinguish the operating room from the clinical contexts where most provider-AI interaction research has been conducted. What we know about AI adoption in radiology, oncology, or ambulatory care does not readily translate to this setting. The cognitive moment in anesthesia has its own structure, its own failure modes, and its own research requirements. This paper examines what those requirements are. We analyze how the operating room functions as a pre-existing human-machine cognitive system into which AI is now being inserted, and why the conditions of that system generate predictable vulnerabilities: miscalibrated trust, automation bias, and cognitive friction produced by interfaces optimized for technical accuracy rather than clinical usability. We argue that these failure modes are not incidental but structural and that they will persist regardless of model performance until the provider-AI interaction is itself treated as a research object. We identify 4 priority research domains. The first concerns the structure of provider-AI disagreement and the methods needed to distinguish automation bias from legitimate clinical insight. The second concerns the longitudinal dynamics of trust calibration across repeated clinical encounters rather than single-session experimental designs. The third concerns interface design for high-acuity workflows, specifically what constitutes a usable AI output for a provider managing a patient in real time. The fourth concerns the need for ecologically valid study designs capable of capturing provider reasoning under actual perioperative conditions rather than retrospective or survey-based proxies. The anesthesia and perioperative research community is positioned to lead this work. The clinical specificity, domain knowledge, and professional stake required to design meaningful studies are all present within the field. Evaluating the cognitive transaction under perioperative conditions, not the computational model in isolation, is both a methodological imperative and a patient safety priority.},
}

Humans
*Artificial Intelligence
*Perioperative Care/methods
*Anesthesia/methods
*Ergonomics

@article {pmid42723656,
year = {2026},
author = {Crowley, LM and Falk, S and Hutchinson, F and Grzywacz, A and , and , and , and , and , and , and , },
title = {The genome sequence of a muscid fly, Lispocephala verna (Fabricius, 1794) (Diptera: Muscidae).},
journal = {Wellcome open research},
volume = {11},
number = {},
pages = {394},
pmid = {42723656},
issn = {2398-502X},
abstract = {We present a genome assembly from an individual female Lispocephala verna (muscid fly; Arthropoda; Insecta; Diptera; Muscidae). The assembly contains two haplotypes with total lengths of 987.71 megabases and 934.62 megabases. Most of haplotype 1 (95.8%) is scaffolded into 5 chromosomal pseudomolecules. Haplotype 2 was assembled to scaffold level. The mitochondrial genome has also been assembled, with a length of 16.34 kilobases. This assembly was generated as part of the Darwin Tree of Life project, which produces genomes for eukaryotic species found in Britain and Ireland.},
}

@article {pmid42562267,
year = {2026},
author = {Detroja, R and Chandra, M},
title = {Integrated molecular, epidemiological, and bioinformatics perspectives on the Mpox virus: Implications for surveillance and Global Health preparedness.},
journal = {Journal of microbiological methods},
volume = {249},
number = {},
pages = {107656},
doi = {10.1016/j.mimet.2026.107656},
pmid = {42562267},
issn = {1872-8359},
mesh = {Humans ; Global Health ; Animals ; *Computational Biology/methods ; *Orthopoxvirus/genetics/immunology/classification ; Molecular Epidemiology ; Genome, Viral ; Disease Outbreaks ; Zoonoses/virology/epidemiology ; },
abstract = {Mpox has re-emerged as a significant global zoonotic threat, driven mainly by two large waves the 2022 worldwide Clade IIb outbreak and the 2024 Clade Ib epidemic in Central Africa. This review examines the challenges of interpreting this evolving virus from molecular, epidemiological, and bioinformatics perspectives, with a focus on global health workforce preparedness. Clade IIb largely moved through sexual transmission across countries, but Clade Ib has appeared in a wider population-women, children, and individuals infected through household spread without any sexual contact. Early case series suggest that Clade Ib may cause a more severe disease burden, but more research is needed to directly compare severity and fatality rates with Clade IIb due to the limited number of current studies. The review examines the virus's strategies for evading the host's immune defenses throughout its ∼197 kbp genome, including how it disrupts interferon signaling and creates decoy receptors. This review summarizes the clinical findings of PALM007 and STOMP, noting that neither trial achieved its main efficacy endpoint making routine tecovirimat use less compelling-while leaving open whether it helps particular high-risk groups. A further point is that immunity from the MVA-BN vaccine wanes with time, leading to the growing adoption of booster vaccinations. In conclusion, the review calls for a One Health approach pairing genomic tracking with ecological intelligence and including wastewater surveillance to fill existing gaps in knowledge and enhance the global handling of new orthopoxvirus threats.},
}

Humans
Global Health
Animals
*Computational Biology/methods
*Orthopoxvirus/genetics/immunology/classification
Molecular Epidemiology
Genome, Viral
Disease Outbreaks
Zoonoses/virology/epidemiology

@article {pmid42685092,
year = {2026},
author = {Vetter, D and Ahsan, M and Delicado, D and Neubauer, TA and Wilke, T and Roig, G},
title = {Speeding up taxonomy in the digital age: A deep learning approach for identifying cryptic freshwater snails.},
journal = {PLoS computational biology},
volume = {22},
number = {9},
pages = {e1014733},
pmid = {42685092},
issn = {1553-7358},
mesh = {Animals ; *Deep Learning ; *Snails/classification/anatomy & histology ; Phylogeny ; Fresh Water ; Computational Biology/methods ; Classification Algorithms ; Image Processing, Computer-Assisted/methods ; Species Specificity ; },
abstract = {Cryptic species complexes pose fundamental challenges to biologists, as species exhibit minimal morphological differences that require integrating morphology, genetics, and biogeography for identification. Here, we present a deep learning approach to support species identification in the freshwater snail genus Radomaniola (Hydrobiidae), a morphologically cryptic group from the Balkans. Our approach mirrors the integrative workflow of expert taxonomists by combining shell images, morphometric measurements, and collection‑site metadata, with optional phylogenetic information. Despite being trained on fewer than 700 specimens across 20 visually similar species with strongly imbalanced class sizes, the system achieved high identification performance. Careful control of spurious correlations, such as those arising from site‑specific imaging conditions or overly precise geographic metadata, was essential to ensure that the network learned biologically meaningful features. Across all experiments, integrating multiple data types and jointly optimizing meaningful embeddings and classification consistently improved performance over image‑only and classification‑only baselines. On specimens from collection sites seen during training we achieved a macro-averaged F1 score of 0.93. Even though this dropped as low as 0.14 when evaluating on specimens from previously unsampled localities, it could be rapidly recovered by retraining with 2-3 newly labeled specimens. Additionally, model top-3 accuracy stayed consistently above 80% in all settings. These results show that relatively lightweight deep learning models can provide practical decision support in real taxonomic workflows.},
}

Animals
*Deep Learning
*Snails/classification/anatomy & histology
Phylogeny
Fresh Water
Computational Biology/methods
Classification Algorithms
Image Processing, Computer-Assisted/methods
Species Specificity

@article {pmid42711003,
year = {2026},
author = {Ribeiro, IM and Almeida-Santos, AC and Peixe, L and Novais, C and Freitas, AR},
title = {A One Health approach to Antimicrobial Resistance: Concepts, challenges, and advances in omics.},
journal = {Advances in applied microbiology},
volume = {134},
number = {},
pages = {1-101},
doi = {10.1016/bs.aambs.2026.07.001},
pmid = {42711003},
issn = {0065-2164},
mesh = {Humans ; *One Health ; Animals ; *Drug Resistance, Bacterial ; *Anti-Bacterial Agents/pharmacology ; *Bacteria/drug effects/genetics ; *Bacterial Infections/microbiology/drug therapy ; Multiomics ; Genomics ; },
abstract = {Antimicrobial resistance (AMR) is a global threat driven by the interplay between microbial evolution and human activity. Antimicrobial use in human and veterinary medicine, as well as in agriculture, accelerates the selection and dissemination of resistant bacteria and genes across interconnected human, animal, and environmental reservoirs. These dynamic exchanges render single-sector interventions ineffective. A One Health approach integrating human, animal, and environmental health is therefore essential to understand and mitigate the emergence and spread of AMR. This chapter focuses on bacterial antimicrobial resistance, addressing key concepts, major challenges, and emerging technologies within a One Health framework. Advances in next-generation sequencing and omics technologies have transformed our capacity to resolve AMR at unprecedented scale and resolution. These tools enable the tracking of resistance genes and high-risk clones across ecosystems, uncover transmission pathways, and identify key drivers of dissemination. Such insights support real-time epidemiological surveillance, outbreak detection, and targeted interventions. However, translating these advances into routine practice remains a major challenge, requiring harmonized methodologies, data integration, and cross-sector coordination. Addressing AMR demands sustained collaboration across disciplines and stakeholders, including clinicians, veterinarians, farmers, researchers, policymakers, industry, and the public. And framing AMR as a shared ecological and societal responsibility underscores the urgency of coordinated global action. We call for the urgent integration of One Health principles into surveillance, policy, and innovation to preserve antimicrobial effectiveness and safeguard future health.},
}

Humans
*One Health
Animals
*Drug Resistance, Bacterial
*Anti-Bacterial Agents/pharmacology
*Bacteria/drug effects/genetics
*Bacterial Infections/microbiology/drug therapy
Multiomics
Genomics

@article {pmid42717056,
year = {2026},
author = {Caravagna, G and Graham, TA and Sottoriva, A},
title = {A guide to understanding tumour evolution through the lens of population genetics.},
journal = {Nature reviews. Cancer},
volume = {},
number = {},
pages = {},
pmid = {42717056},
issn = {1474-1768},
abstract = {Every cancer carries the history of its own evolution, hidden in its genome. Modern DNA sequencing can catalogue millions of mutations and profile tumours across space and time, but sequencing alone struggles to answer the questions that matter most: when did key adaptations emerge, how strongly were they selected, why do some tumours relapse whereas others do not, and how will the cancer evolve next? The reason is fundamental: sequencing is a snapshot, whereas evolution is a dynamic process. Bridging this gap requires moving beyond descriptive cancer genomics towards quantitative evolutionary inference. In this Review, we argue that population genetics provides the mathematical framework needed to extract evolutionary dynamics from cancer genomes. We show how models of mutation, selection and drift transform allele frequencies from descriptive measurements into quantitative estimates of clonal fitness and evolutionary timings. We discuss how these principles extend to epigenetic inheritance, plasticity and ecological interactions within the tumour ecosystem, and examine the assumptions and limitations for their application to modern sequencing data. By reframing cancer genomes as quantitative records of evolutionary processes rather than catalogues of mutations, researchers have used population genetics to provide a foundation for understanding - and ultimately predicting - the trajectories of cancer evolution.},
}

@article {pmid42718801,
year = {2026},
author = {Tenennbaum, B and Yakubovich, E and Wang, YW and Meng, G and Moonjely, S and Trail, F and Ben Ari, J and Wang, Z and Dong, C and Townsend, JP and Yarden, O},
title = {Conserved storage-carbohydrate metabolic modules are rewired during germination of Trichoderma asperelloides and other Sordariomycetes.},
journal = {Frontiers in fungal biology},
volume = {7},
number = {},
pages = {1930613},
pmid = {42718801},
issn = {2673-6128},
abstract = {Conidial germination requires rapid mobilization and reorganization of storage carbohydrates, yet the network architecture underlying this process remains poorly defined in filamentous fungi. Using quantitative GC-MS/MS profiling, we provide the first quantitative identification of major soluble sugar species across four germination stages of Trichoderma asperelloides T203 and compared them with four representative models in the Sordariomycetes (Metarhizium anisopliae, Cordyceps militaris, Fusarium graminearum, and Neurospora crassa). In T. asperelloides, mannitol was the most prevalent measured sugar in dormant conidia, declined sharply at polarity establishment, and partially recovered at later stages, while trehalose displayed a reciprocal increase and other sugars remained comparatively stable. Comparative analyses revealed distinct species-specific carbon storage strategies: Dormant conidia of T. asperelloides, M. anisopliae, and C. militaris were mannitol-enriched, whereas in N. crassa and F. graminearum glucose was the most abundant; after germination onset, most species shifted toward glucose accumulation, but T. asperelloides uniquely transitioned from mannitol to trehalose dominance before partial re-accumulation of mannitol. Integration of sugar profiles with time-resolved RNA-seq and Bayesian network inference revealed conserved core interactions but also lineage-specific divergences in mannitol/trehalose-associated central-carbon modules that correspond to distinct nutrient and lifestyle strategies during early colonization. A focused analysis in T. asperelloides uncovered extensive stage-dependent transcriptional remodeling of metabolic-process genes and a mannitol-centered module involving mpd1 and mtd1 (encoding mannitol-1-phosphate 5-dehydrogenase and mannitol dehydrogenase, respectively). Antisense-based knockdown of mpd1 strongly reduced its transcript levels and led to stage-dependent upregulation of mtd1. However, these changes left mannitol content, soluble-sugar profiles, germination dynamics, and growth on mannitol essentially unchanged. Together, our comparative metabolic-network analysis shows that conidial mannitol and trehalose metabolism in T. asperelloides is embedded in a flexible, partially redundant central-carbon framework, and establishes this species as a tractable model for systems-level dissection of sugar metabolic regulation during early fungal development and colonization.},
}

@article {pmid42720568,
year = {2026},
author = {Ramirez, MR and Gomez, NJS and Ryan, A and Chipara, O and Heimer, K and Peek-Asa, C and Campo, S and Snirivasan, P and Xiong, BN and Trotter, AG and Paik, A},
title = {Multi-mode design for studying cyber aggression in texts, Facebook and Twitter messages among middle school youth.},
journal = {American journal of epidemiology},
volume = {},
number = {},
pages = {},
doi = {10.1093/aje/kwag222},
pmid = {42720568},
issn = {1476-6256},
abstract = {With the explosion of the internet, cyber aggression has become one of the fastest growing forms of interpersonal violence. Methods used to understand aggressive communications content have been limited primarily to surveys. Here, we present multiple methods - panel surveys, electronic capture of social media, and Ecological Momentary Assessments - to characterize both behavioral and perceptual components of cyber aggression in a study of youth from two Iowa middle schools during the 2014-2015 school year. Youth completed a survey, and a sub-sample of smartphone owners installed an electronic application that collected over 150,000 text messages, Twitter posts, and Facebook posts. The sub-sample also participated in ecological momentary assessments to collect self-reported experiences of cyber aggression. To code for aggressive content in this large sample of messages, a case-control sampling strategy was used to identify a series of "case" messages from youth who reported aggression and "control" messages from youth who reported no aggression. We further present recruitment protocols, data management and qualitative coding methods as well as descriptive characteristics of the student cohort and nested sample of messages. These methods have potential use in future studies of "big data" captured from social media.},
}

@article {pmid42623872,
year = {2026},
author = {Yang, X and Ji, XH and Li, C and Zhang, SR and Lai, JL and Luo, XG},
title = {A synthetic microbiome drives a multi-omics response to remediate 1,4-dithiane-contaminated soil and simultaneously suppresses antibiotic resistance genes.},
journal = {Journal of hazardous materials},
volume = {516},
number = {},
pages = {143337},
doi = {10.1016/j.jhazmat.2026.143337},
pmid = {42623872},
issn = {1873-3336},
mesh = {*Soil Pollutants/metabolism ; *Microbiota ; *Soil Microbiology ; *Drug Resistance, Microbial/genetics ; Biodegradation, Environmental ; Multiomics ; Genes, Bacterial ; },
abstract = {1,4-Dithiane, a degradation product of abandoned Japanese chemical weapons, is a persistent organic pollutant with ecological risks. A synthetic microbiome (SM) was constructed through pollution stress screening and ratio optimization, consisting of Shinella sp., Alcaligenes faecalis, Sphingomonas sp., and Stenotrophomonas sp. at an optimal ratio of 1: 1: 2: 2. The SM achieved a 1,4-dithiane degradation rate of 95.2% and reduced intermediate accumulation. Soil remediation experiments showed complete pollutant removal within 60 days, along with improved soil health: reduced bioavailability of heavy metals (Cu, Zn, Cd), increased pH (6.47-6.95), elevated organic matter and enzyme activities, and decreased salinity and redox potential. Integration of ionomics, 16S sequencing, metagenomics, metabolomics, and HT-qPCR revealed that SM colonization reshaped microbial community structure, suppressed ARG-harboring bacteria (e.g., Pseudomonas), and activated core pathways (oxidative phosphorylation and glutathione metabolism), enhancing metabolic activity and oxidative stress tolerance. Consequently, the diversity, abundance, and diffusion potential of soil ARGs and mobile genetic elements were significantly reduced. These findings provide microbial solutions and a theoretical basis for concurrent organic pollution control and soil ecological risk management.},
}

*Soil Pollutants/metabolism
*Microbiota
*Soil Microbiology
*Drug Resistance, Microbial/genetics
Biodegradation, Environmental
Multiomics
Genes, Bacterial

@article {pmid42468162,
year = {2026},
author = {Vasileiadis, S and Valmas, MI and Pitsikoglou, DS and Rodosthenous, J and Omirou, M and Kotsopoulos, TA and Yan, Y and Fu, D and Fotidis, IA},
title = {Up-to-date, and taxonomy-curated mcrA reference databases for methanogen community profiling.},
journal = {Systematic and applied microbiology},
volume = {49},
number = {5},
pages = {126752},
doi = {10.1016/j.syapm.2026.126752},
pmid = {42468162},
issn = {1618-0984},
mesh = {*Archaea/classification/genetics/enzymology ; *Methane/metabolism ; *Oxidoreductases/genetics ; Phylogeny ; *Databases, Genetic ; Biocuration ; },
abstract = {The methyl-coenzyme M reductase subunit alpha gene (mcrA) is an important phylogenetic marker for high throughput ecological profiling of methanogenic archaea, central to industrial biological methane production and greenhouse gas emissions. Yet, dedicated reference databases predate current relevant NCBI sequence accumulation and archaeal taxonomic revision. We present three updated mcrA reference databases: (i) one derived from NCBI-catalogued methanogen genomes (1572 sequences); (ii) a database built by expansion of a previously published reference dataset, leveraging the NCBI nucleotide collection (27,942 sequences); (iii) a curated-taxonomy version of the latter. The updated amplicon databases provide a ∼ 3.5-fold sequence richness expansion, extend genus-level richness from 31 to 83 taxa, more than 4-fold species-level richness, and incorporate novel lineages compared with the previous reference dataset (e.g. Thermoplasmatota-encompassed). All databases were formatted to support analysis with relevant contemporary software pipelines and packages. Overall, the generated databases facilitate a highly improved characterization of methanogen diversity and ecology.},
}

*Archaea/classification/genetics/enzymology
*Methane/metabolism
*Oxidoreductases/genetics
Phylogeny
*Databases, Genetic
Biocuration

@article {pmid42664271,
year = {2026},
author = {Lilja, E and Allen, RJ and Waclaw, B},
title = {Simple birth-death-mutation models predict some-but not all-aspects of the experimental evolution of antibiotic resistance.},
journal = {PLoS computational biology},
volume = {22},
number = {8},
pages = {e1014666},
doi = {10.1371/journal.pcbi.1014666},
pmid = {42664271},
issn = {1553-7358},
mesh = {*Mutation/genetics ; Anti-Bacterial Agents/pharmacology ; *Drug Resistance, Bacterial/genetics ; *Models, Genetic ; Evolution, Molecular ; *Drug Resistance, Microbial/genetics ; Escherichia coli/genetics/drug effects ; Bioreactors/microbiology ; Computational Biology ; },
abstract = {Mathematical modelling of antibiotic resistance plays an important role in understanding the mechanisms of resistance emergence and spreading, testing the feasibility of new treatment protocols, and antimicrobial stewardship. However, many assumptions underlying some of the most commonly used mathematical models have not been rigorously tested experimentally. We verify whether one of these models - a birth-death-mutation process - is able to quantitatively predict the outcome of laboratory experiments. We grow bacteria in a bioreactor in conditions that closely resemble the assumptions of the model, and compare the model predictions with experimental observables such as the probability and time to resistance evolution, mutant number distribution, and the genetic composition of the evolved populations. We show that the model fails to reproduce some aspects of the experiments (failing differently for different antibiotics) but that simple modifications of the model significantly improve its predictive power. These modifications give insight into the population dynamics of resistant mutants for each antibiotic tested, and highlight the importance of quantitative modelling for accurate prediction of antibiotic resistance evolution.},
}

*Mutation/genetics
Anti-Bacterial Agents/pharmacology
*Drug Resistance, Bacterial/genetics
*Models, Genetic
Evolution, Molecular
*Drug Resistance, Microbial/genetics
Escherichia coli/genetics/drug effects
Bioreactors/microbiology
Computational Biology

@article {pmid42705761,
year = {2026},
author = {Shi, H and Shen, Y and Ye, Q and Yu, H and Tian, M and Wang, H and Wei, Y and Yan, S and Chen, Y and Zhang, J and Li, S and Yang, Y and Zhao, J},
title = {Spatially resolved multi-omics analysis of indigenous Bacillus-fortified high-temperature Daqu.},
journal = {Food research international (Ottawa, Ont.)},
volume = {243},
number = {Pt 2},
pages = {120404},
doi = {10.1016/j.foodres.2026.120404},
pmid = {42705761},
issn = {1873-7145},
mesh = {*Bacillus/metabolism/genetics ; Multiomics ; *Hot Temperature ; *Food, Fortified/microbiology ; Metabolomics ; Metagenomics ; *Food Microbiology ; },
abstract = {Layer-dependent patterns associated with indigenous Bacillus fortification on high-temperature Daqu remain unclear. Here, six indigenous functional Bacillus strains were combined to fortify Daqu at three inoculation levels (QH4, QH5, QH6), with non-fortified as the control (CK). Upper, middle, and lower shelf-layer samples were profiled by physicochemical measurements, volatilomics, organic acid analysis, untargeted metabolomics, 16S/ITS amplicon sequencing, and metagenomics. PERMANOVA showed significant effects of treatment, spatial layer, and their interaction on physicochemical, volatile, bacterial, and fungal profiles (P = 0.001). Among the three inoculation levels, QH5 showed the most balanced performance: QH5_M exhibited the highest observed mean peak temperature (63.3 °C; +4.5 °C relative to CK_M), and its group-mean temperature remained ≥ 60 °C for seven consecutive days. Multi-omics analyses indicated coordinated, non-linear, and layer-dependent differences associated with indigenous Bacillus fortification, with QH5_M showing the most pronounced combined thermal, pyrazine, substrate, microbial, and predicted functional profile. These findings indicate that moderate indigenous Bacillus fortification was associated with distinct layer-dependent thermal and flavor profiles and coordinated microbial, metabolic, and predicted functional differences.},
}

*Bacillus/metabolism/genetics
Multiomics
*Hot Temperature
*Food, Fortified/microbiology
Metabolomics
Metagenomics
*Food Microbiology

@article {pmid42706571,
year = {2026},
author = {Pieroni, A and Hazarika, A and Alrhmoun, M and Yebouk, C and Dina, E and Manduzai, AK and Gillani, SW and Rexhepi, B and Ullah, I and Ali, S and Khadka, D and Khan, SM and Abbasi, AM and Suriano, E and Mendoza, JN and Soukand, R and Kalle, R},
title = {From the margins to the core: village and community scientists should increasingly shape the future of ethnobiology and ethnoecology.},
journal = {Journal of ethnobiology and ethnomedicine},
volume = {22},
number = {1},
pages = {},
pmid = {42706571},
issn = {1746-4269},
mesh = {Humans ; *Ecology/trends ; *Ethnology/trends ; Rural Population ; Knowledge ; },
abstract = {Ethnobiology was not only created as a field to understand the relationship between humans and their environments; it emerged from direct engagement with rural and Indigenous communities. Yet the great paradox is that, despite its field-based origins, the discipline continues to be reproduced within urban academic spaces that often exclude those who are assumed to be at the very heart of knowledge production. In this editorial, we do not simply propose the "inclusion" of rural or Indigenous communities. Instead, we call for a radical repositioning of the knowledge itself: Who can be considered a "scientist"? And who holds the authority to define scientific knowledge? We reject the assumption that urban academic affiliation or formal credentials are the sole basis for scientific credibility, and instead propose a different standard: knowledge should be assessed by its depth, explanatory power, and integrity when co-produced in genuine partnership with living communities. Drawing on our own experiences as researchers raised in rural villages, peripheral regions, and migrant/refugees' communities, we argue that local and Indigenous ecological knowledge is not a "raw material" for scientific research, but a form of scientific thinking in its own right with its own logic, observations, and rigour, and its own way of assessing, adapting and enacting this knowledge. We therefore call for a further step ahead in the classical structure of ethnobiology: not merely the inclusion of communities in research stages, but the recognition of some of their scholars as the core producers of scientific knowledge, from the formulation of research questions to the interpretation, dissemination and enactment of results. This transformation of the locus aims not only to improve ethnobiology as a field but also to redefine it. Without this redefinition, science will remain detached from the realities it claims to understand. With it, ethnobiology can become a more honest, more courageous discipline, better equipped to confront biodiversity loss, climate change, and the reconfiguration of more-than-human-nature relationships.},
}

Humans
*Ecology/trends
*Ethnology/trends
Rural Population
Knowledge

@article {pmid42708036,
year = {2026},
author = {Manikowska-Ślepowrońska, B and Cieślińska, K and Ślepowroński, K and Poślińska, E and Siekiera, J and Goc, M and Iliszko, LM and Jakubas, D},
title = {Individual year-round movement patterns of the GPS-tracked Grey Herons (Ardea cinerea) in Central Europe: a multi-year case study.},
journal = {PeerJ},
volume = {14},
number = {},
pages = {e21659},
pmid = {42708036},
issn = {2167-8359},
mesh = {*Animal Migration/physiology ; Animals ; *Geographic Information Systems ; Seasons ; *Birds/physiology ; Germany ; Poland ; Europe ; },
abstract = {BACKGROUND: The year-round migratory behaviour of Grey Herons (Ardea cinerea) breeding in Central Europe is recognized; however, individual consistency in their movement patterns remains poorly known. In this study, we present movements of three adult Grey Herons breeding in Northern Poland and Eastern German global positioning system (GPS)-tracked between 2012 and 2020.

METHODS: We analyzed annual movement trajectories, focusing on migration distances, fidelity to breeding and wintering grounds, and the use of stop-over sites. We performed an Analysis of Variance from Summary Data (ANOVA) on summary data to compare migratory parameters across different Eurasian populations and age groups.

RESULTS: We identified four main phases in the annual cycle of all studied individuals: breeding, wintering, spring and autumn migration. Our data reveal high inter-individual variation in migratory strategies. Although two individuals changed their wintering sites from year to year, all studied ones exhibited strict fidelity to the same breeding grounds across consecutive seasons. Migration distances ranged from 175 to 1,758 km; notably, the individual breeding in Eastern Germany covered the shortest distance (mean ± SD: 221 ± 51.8 km). We observed substantial inter-individual variation in winter site fidelity, migration distances, and stop-over numbers within this Central European Grey Heron population. The herons selected the shortest migration paths during spring, but not during autumn. While the broad migratory characteristics-specifically the number of stop-overs (3.0 ± 2.8), migration distance (1,220 ± 580.4 km), and migration duration (9 ± 9 days)-closely match findings from other populations, the tracked herons in our study made fewer stop-overs during autumn migration compared to the values reported in the literature.

CONCLUSIONS: We observed inter-individual variations in the annual movement patterns of the Grey Heron, encompassing the timing of the four annual cycle phases, the range of distances covered annually and the birds' fidelity to areas used as breeding or wintering grounds. Our report provides the first long-term, high-resolution insights into the year-round movements of GPS-tracked Grey Herons from Central Europe, emphasizing that specific individuals employ diverse and flexible migratory strategies, even within the same breeding region.},
}

*Animal Migration/physiology
Animals
*Geographic Information Systems
Seasons
*Birds/physiology
Germany
Poland
Europe

@article {pmid42709282,
year = {2026},
author = {Kharmawphlang, IM and Gómez-Brandón, M and Hussain, N},
title = {Decoding next-generation heavy metal bioremediation via species-specific Earthworm and its gut microbiome interactions: insights from molecular responses, multi-omics, synthetic biology, and artificial intelligence.},
journal = {Biodegradation},
volume = {37},
number = {5},
pages = {},
pmid = {42709282},
issn = {1572-9729},
mesh = {Animals ; *Oligochaeta/metabolism/microbiology ; Biodegradation, Environmental ; Multiomics ; *Metals, Heavy/metabolism ; *Gastrointestinal Microbiome ; Synthetic Biology ; Artificial Intelligence ; *Soil Pollutants/metabolism ; },
abstract = {Heavy metal (HM) contamination represents a persistent global threat, demanding bioremediation strategies that are both mechanistically robust and ecologically sustainable. This review provides a next-generation perspective on vermiremediation by integrating species-level physiology, gut microbiome functionality, molecular detoxification pathways, synthetic biology innovations, multi-omics insights, and artificial intelligence (AI)-driven modeling into a unified framework. A central novelty of this work lies in the detailed elucidation of earthworm-microbe consortia and their synergistic contributions to metal sequestration, transformation, and detoxification-moving beyond traditional organism-centric views toward eco-engineered host-symbiont systems. We synthesize species-specific bioaccumulation patterns, toxicological responses, and detoxification mechanisms, supported by enrichment kinetic models. At the molecular scale, we highlight antioxidant defense pathways involving catalase, glutathione-S-transferase, and superoxide dismutase, alongside oxidative stress signaling, macromolecular damage, and thresholds that differentiate adaptive resilience from system failure. Advancements in synthetic biology includes gene editing, pathway reconstruction, and designer symbiotic microbes which are examined as emerging tools to enhance gut microbial functionality and engineer targeted metal-binding pathways. Multi-omics approaches provide a systems-level view of detoxification networks, revealing previously uncharacterized genes, enzymes, and metabolic signatures associated with HM tolerance and early biomarkers of sub-lethal stress. The incorporation of AI-based models introduces a data-driven dimension, enabling accurate prediction of remediation outcomes and optimization of vermiremediation strategies. Overall, this review advances vermiremediation from an empirical practice to a programmable, systems-biotechnology platform for sustainable HM bioremediation.},
}

Animals
*Oligochaeta/metabolism/microbiology
Biodegradation, Environmental
Multiomics
*Metals, Heavy/metabolism
*Gastrointestinal Microbiome
Synthetic Biology
Artificial Intelligence
*Soil Pollutants/metabolism

@article {pmid42709709,
year = {2026},
author = {Yao, T and Liu, Q and Zeng, H and Tang, J},
title = {Ecological sensitivity and sustainable spatial planning in a highly urbanized plain: An AHP-GIS and geodetector approach in the Yangtze River Delta Plain.},
journal = {PloS one},
volume = {21},
number = {9},
pages = {e0357598},
doi = {10.1371/journal.pone.0357598},
pmid = {42709709},
issn = {1932-6203},
mesh = {*Rivers ; *Urbanization ; *Geographic Information Systems ; China ; *Conservation of Natural Resources/methods ; *Ecosystem ; Humans ; Environmental Monitoring/methods ; },
abstract = {Rapid urbanization in plains exacerbates ecological pressures, while most ecological sensitivity (ES) research focuses on mountains, offering limited guidance for highly urbanized plains. This study assesses ES in the Yangtze River Delta Ecological Green Integrated Development Demonstration Zone (YRD EGI-DDZ) and its planning implications. Ten indicators, covering four criteria, geography, hydrology, natural resource, and human interference were integrated using Analytic Hierarchy Process (AHP) with Geographic Information System (GIS). Geodetector quantified drivers of ES spatial variation, and 2018-2020 land use data revealed recent development and fragmentation. Results show over 70% of the area under medium to extremely highly sensitivity, with high or extreme high zones clustered along Dianshan Lake, Yuandang, East Taihu, and contiguous ecological land. Low sensitivity mainly corresponds to urban land. Key drivers include land use, nighttime lights, population density, and water proximity, while elevation and slope contribute marginally. New construction land expands mainly along urban fringes and transport corridors, inserting low sensitivity strips into medium sensitivity belts and fragmenting high sensitivity cores. These findings inform a sensitivity-based zoning and corridor control framework, refining existing plans and supporting sustainable spatial development in similar plains.},
}

*Rivers
*Urbanization
*Geographic Information Systems
China
*Conservation of Natural Resources/methods
*Ecosystem
Humans
Environmental Monitoring/methods

@article {pmid42710055,
year = {2026},
author = {Roussel, T and Benhaim, E and Perrard, L and Merat, B and Vally, S and Girerd, R and Deharo, P and Desroche, LM and , },
title = {Mobile-First Web Access and Captioned Video in Francophone Cardiology Education: Multicountry Ecological Learning Analytics Study.},
journal = {JMIR mHealth and uHealth},
volume = {14},
number = {},
pages = {e90345},
doi = {10.2196/90345},
pmid = {42710055},
issn = {2291-5222},
mesh = {*Cardiology/education ; Humans ; Digital Health ; Digital Media ; Telemedicine ; Internet ; },
abstract = {BACKGROUND: Mobile health (mHealth) and online video are increasingly central to cardiology education and point-of-care decision support. However, little is known about how simple design choices, such as mobile-first web layouts and captioned videos, translate into real-world practice across countries with different income levels.

OBJECTIVE: This exploratory ecological study used routinely collected, cross-platform learning analytics from a francophone cardiology mHealth initiative to (1) describe how mobile web access and caption-enabled YouTube viewing varied across World Bank income groups and (2) examine whether greater reliance on mobile access was associated with poorer engagement on the website or on YouTube.

METHODS: We analyzed country-level analytics from the École Numérique de Cardiologie (ENC; Saint-Denis) mobile-optimized website and its companion YouTube channel (YouTube, LLC [Google LLC]) over a two-year window (September 2023 to September 2025). Countries were grouped as high-, middle-, or low-income (World Bank, three-level classification). Country-level metrics included mobile device session share; website bounce rate; time on page; and YouTube average view duration, audience retention, and intentional views. Caption-related and demographic YouTube metrics were available only as income-group aggregates and were therefore reported descriptively as between-group contrasts; country-level inferential analyses were restricted to country-level variables. Reporting followed the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) checklist.

RESULTS: Thirty-four countries contributed data: 13/34 (38%) high-income, 14/34 (41%) middle-income, and 7/34 (21%) low-income. Caption-enabled watch time was 18.8% in high-income countries (HICs), compared with 38.7% in middle-income countries (MICs) and 60.9% in low-income countries (LICs), representing a caption equity gap (CEG) of 42.1% between low- and high-income settings. Median website mobile share rose with decreasing income (36.5%, 63.3%, and 81.4%, respectively; Jonckheere-Terpstra P=.01). Across income groups, higher caption-enabled watch time coincided with a higher share of intentional views. At the country level, greater reliance on mobile access was not associated with higher bounce rate or shorter time on page, and Spearman correlations between mobile share and YouTube engagement metrics were small and nonsignificant (all |ρ|≤0.28; all P≥.18).

CONCLUSIONS: In this multicountry, francophone, mHealth learning analytics case study, mobile web access and captioned video were used most intensively in lower-income settings, and greater reliance on mobile access was not associated with measurable penalties in basic engagement metrics. These findings support treating mobile-optimized design and systematic captioning as core, low-cost, access-supporting features for equitable digital cardiology education. They also suggest that routinely collected platform indicators can serve as practical equity-monitoring signals for global mHealth initiatives, while underscoring that engagement metrics are not direct measures of learning or behavior change.},
}

*Cardiology/education
Humans
Digital Health
Digital Media
Telemedicine
Internet

@article {pmid40965469,
year = {2026},
author = {León-Domínguez, U},
title = {Towards an artificial intelligence clinical decision-support system based on immersive virtual reality for neurocognitive assessment.},
journal = {Ergonomics},
volume = {69},
number = {10},
pages = {1999-2016},
doi = {10.1080/00140139.2025.2560581},
pmid = {40965469},
issn = {1366-5847},
mesh = {Humans ; *Artificial Intelligence ; *Virtual Reality ; *Decision Support Systems, Clinical ; Algorithms ; Brain Injuries/rehabilitation ; Neuropsychological Tests ; },
abstract = {Recent cost reductions and technological advances have enabled the use of Immersive Virtual Reality (IVR) to assess performance tasks in high-fidelity 3D environments. This review outlines the current state of its application in neurocognitive assessment and examines the integration of Artificial Intelligence algorithms and biomedical sensors to standardise laboratory testing. An AI-driven clinical decision-support system (aiCDSS-IVR) is introduced as a modular framework in which immersive virtual reality, artificial intelligence, and biometric sensors are integrated to construct a digital twin that combines behavioural and physiological data for clinical decision support. This technological ecosystem could facilitate a more personalised approach to the assessment and rehabilitation of brain injuries.},
}

Humans
*Artificial Intelligence
*Virtual Reality
*Decision Support Systems, Clinical
Algorithms
Brain Injuries/rehabilitation
Neuropsychological Tests

@article {pmid42380415,
year = {2026},
author = {Atsumi, T and Hokazono, S and Kikuchi, K and Fujii, T and Takejima, K and Wada, M and Miyake, K and Yahagi, T and Nakamura, K and Takano, A and Minami, M},
title = {Supporting exploration and sustainable utilization of the medicinal plant Uncaria rhynchophylla in Kyushu, Japan through potential distribution modeling using MaxEnt and GIS.},
journal = {Journal of natural medicines},
volume = {80},
number = {5},
pages = {1417-1432},
pmid = {42380415},
issn = {1861-0293},
support = {JP24ak0101159//Japan Agency for Medical Research and Development/ ; IDEAS202541//Collaboration Research Program of IDEAS, Chubu University/ ; },
mesh = {*Uncaria ; Japan ; *Plants, Medicinal ; Geographic Information Systems ; Seasons ; Temperature ; Conservation of Natural Resources ; Medicine, Kampo ; },
abstract = {Sustainable utilization of wild medicinal plant resources requires reproducible approaches for locating and managing natural populations. In Japan, exploration and resource planning for wild medicinal plants rely heavily on expert knowledge, and reproducible approaches remain scarce. We developed a species distribution model (SDM) for Uncaria rhynchophylla (Rubiaceae), a botanical source of the crude drug Uncaria Hook used in Kampo medicine, to estimate its potential distribution and identify major environmental correlates in the Kyushu region, southern Japan. Using 122 occurrence records collected from 2021 to 2023 and nine environmental predictors, MaxEnt models were trained with background points and bootstrap replicates. Because mean minimum winter temperature in January and mean maximum summer temperature in August were highly correlated, three candidate models were compared using the small-sample corrected Akaike information criterion (AICc), test omission rates, and test area under the receiver operating characteristic curve (AUC). The model including winter minimum temperature was best supported (test AUC = 0.82; test omission rate = 24%), whereas adding summer maximum temperature provided limited improvement (ΔAICc = + 75.75). Variable importance and jackknife tests ranked winter minimum temperature as the most influential predictor, followed by slope angle and distance to the nearest rivers. The suitable area, defined using the maximum training sensitivity plus specificity (MTSS) threshold, covered 10,595 km[2] (25.9% of the terrestrial area) and formed continuous zones across hilly and low-montane regions. Targeted surveys in high-suitability areas confirmed three additional sites in the Kirishima Mountains. Overall, integrating SDM and geographic information systems provides a reproducible, data-driven, decision-support framework for the exploration, planning of sustainable harvesting, and resource management of wild medicinal plants.},
}

*Uncaria
Japan
*Plants, Medicinal
Geographic Information Systems
Seasons
Temperature
Conservation of Natural Resources
Medicine, Kampo

@article {pmid42702138,
year = {2026},
author = {Zheng, H and Huang, J and Chen, H and Xiao, Z and Chen, N and Ding, X},
title = {Long-short-term decoupled residual learning for high-resolution spatio-temporal air quality inference.},
journal = {Neural networks : the official journal of the International Neural Network Society},
volume = {205},
number = {Pt C},
pages = {109575},
doi = {10.1016/j.neunet.2026.109575},
pmid = {42702138},
issn = {1879-2782},
abstract = {Accurate high-resolution spatio-temporal air quality inference based on sparse monitoring stations is essential for environmental governance and public health. However, prevailing deep learning approaches often treat inference as direct regression on observed air quality concentrations, neglecting the distinct effects of a long-term static baseline and short-term dynamic perturbations on the inference. This limits the model's generalization ability and may cause spatial bias in the inference. In this paper, we propose a novel Spatio-Temporal Air Quality Inference Network (SAQIN) model, which provides an explicit decomposition of the static and dynamic effects in the inference. The static branch integrates high-resolution semantic segmentation, global context from remote sensing, population density, and elevation to construct a high-fidelity environmental prior. The dynamic branch employs multi-head self-attention mechanism to jointly encode geographic relationships and inter-pollutant chemical coupling effects. We further develop a residual learning module to model the inference process as a residual correction anchored to multiple reference stations and aggregates predictions through stepwise multi-station fusion with distance-weighted averaging, which successfully eliminates the Voronoi-partition-induced discontinuities and yielding a globally smooth physically plausible air quality inference field. SAQIN has been shown to demonstrate superior accuracy and strong zero-shot cross-domain generalisation when evaluated on large-scale real-world datasets, thus outperforming state-of-the-art methods across a range of criteria pollutants.},
}

@article {pmid42704537,
year = {2026},
author = {de Freitas Germano, J and Leite, G and Pimentel, M},
title = {Do Multi-Omics Approaches Improve the Diagnosis of Microbial Overgrowth Syndromes?.},
journal = {Current gastroenterology reports},
volume = {28},
number = {1},
pages = {},
pmid = {42704537},
issn = {1534-312X},
mesh = {Humans ; Multiomics ; *Intestine, Small/microbiology ; Proteomics/methods ; *Blind Loop Syndrome/diagnosis/microbiology ; Breath Tests/methods ; Gastrointestinal Microbiome ; Metagenomics/methods ; Syndrome ; },
abstract = {PURPOSE OF REVIEW: This review investigates how advances in breath testing (BT), small bowel (SB) culture, metagenomics, metatranscriptomics, transcriptomics and proteomics are reshaping the definition and diagnosis of small intestinal bacterial overgrowth (SIBO). It also discusses whether SIBO should be redefined as part of a larger group of microbial overgrowth syndromes.

RECENT FINDINGS: Recent studies identify distinct hydrogen-, methane-, and hydrogen sulfide-associated overgrowth phenotypes, termed SIBO, intestinal methanogen overgrowth (IMO), and intestinal sulfide overproduction (ISO). SB sampling shows that these conditions involve different microbial patterns and functional activity, symptoms, and host responses. Quantitative shotgun metagenomics provides greater taxonomic and functional resolution than culture, while metatranscriptomics reveals active microbial pathways. On top of that, host transcriptomics and proteomics contribute to the better understanding of the predominant microbial effects in host cellular mechanisms in each of the distinct small bowel overgrowth types. SIBO has been increasingly identified as a disorder of microbial ecology and function rather than bacterial quantity alone. Integrating BT with SB sampling and multi-omics approaches may improve classification, clarify symptom mechanisms, and support a more individualized treatment, although standardized methods and further clinical validation remain necessary.},
}

Humans
Multiomics
*Intestine, Small/microbiology
Proteomics/methods
*Blind Loop Syndrome/diagnosis/microbiology
Breath Tests/methods
Gastrointestinal Microbiome
Metagenomics/methods
Syndrome

@article {pmid42705247,
year = {2026},
author = {, },
title = {Global, regional, and national prevalence of second-hand smoke and attributable disease burden in 204 countries and territories, 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023.},
journal = {The Lancet. Public health},
volume = {},
number = {},
pages = {},
doi = {10.1016/S2468-2667(26)00168-4},
pmid = {42705247},
issn = {2468-2667},
abstract = {BACKGROUND: Second-hand smoke (SHS) exposure remains a major source of morbidity and mortality among non-smokers. This study presents the first dedicated Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) publication to systematically quantify SHS prevalence and evaluate its effect as a global risk factor across a broader range of outcomes.

METHODS: Using the GBD 2023 comparative risk assessment framework, we estimated SHS exposure prevalence and attributable disease burden across 204 countries and territories from 1990 to 2023, stratified by age and sex. Exposure estimates were derived by synthesising population-based surveys and household composition data through spatiotemporal Gaussian process regression. Relative risks for nine health outcomes, now including asthma, were estimated using the Burden of Proof methodology, and applied to calculate attributable deaths and disability-adjusted life-years (DALYs).

FINDINGS: In 2023, an estimated 2·71 billion (95% UI 2·44-3·02) people worldwide were exposed to SHS, including 767 million (687-858) children aged 0-14 years. Age-standardised prevalence was highest in southeast Asia, east Asia, and Oceania (48·4% [44·0-53·4]), with female individuals in some countries experiencing nearly 1·8 times the exposure prevalence of male individuals. Despite a 22·2% (10·6-32·4) decline in global age-standardised prevalence since 1990, this progress has not been sufficient to reduce the absolute number of exposed individuals, which has remained stable globally and has risen sharply in sub-Saharan Africa (98·5% [62·0-144·4] increase) and North Africa and the Middle East (72·1% [47·8-101·8] increase). In 2023, SHS exposure accounted for 1·66 million (1·33-2·07) deaths and 44·8 million (35·8-54·3) DALYs globally. Ischaemic heart disease was the leading contributor to SHS-attributable DALYs (12·0 million [9·31-15·2]) overall, while lower respiratory infections predominated among children (5·16 million [3·48-7·12]).

INTERPRETATION: We estimated that SHS remains a substantial driver of global health loss, particularly through cardiovascular and paediatric respiratory diseases. Persistent geographical disparities and growing absolute numbers of exposed individuals in several regions underscore the urgent need for accelerated implementation and enforcement of comprehensive tobacco control measures, particularly to protect women and children in both public and domestic environments.

FUNDING: Bloomberg Philanthropies and the Gates Foundation.},
}

@article {pmid42636663,
year = {2026},
author = {Wang, D and Huang, Z and Sun, S and Song, W and Li, Y and Sun, K and Li, Z and Feng, J},
title = {Multi-omics reveal microbial functional traits and antifungal metabolites associated with lower Pseudogymnoascus destructans loads in bat cave soils.},
journal = {Microbiological research},
volume = {313},
number = {},
pages = {128696},
doi = {10.1016/j.micres.2026.128696},
pmid = {42636663},
issn = {1618-0623},
mesh = {Animals ; Multiomics ; *Soil Microbiology ; *Ascomycota/drug effects/isolation & purification ; *Caves/microbiology ; *Chiroptera/microbiology ; Metabolomics ; *Antifungal Agents/pharmacology/metabolism ; China ; Microbiota/genetics ; Metagenomics ; Soil/chemistry ; },
abstract = {White-nose syndrome, caused by Pseudogymnoascus destructans (Pd), is a major fungal disease threatening hibernating bats. Cave soils can serve as environmental reservoirs for Pd, yet the microbial and biochemical mechanisms underlying naturally low Pd burdens in some cave environments remain poorly understood. Here, we integrated soil microbiome profiling, metagenomics, metabolomics, multi-omics network analysis, and in vitro validation to investigate the ecological and functional basis of differential Pd loads in hibernating bat caves in Northeast China. The three caves shared cold, humid, and weakly acidic microenvironments, but differed significantly in electrical conductivity, soil water content, nutrient availability, and extracellular enzyme activities. Soil microbial communities showed significant inter-cave variation in composition, diversity, and niche breadth, with stochastic processes contributing substantially to community assembly. Environmental variables, particularly pH and Pd load, were important predictors of microbial community structure. Functional analyses revealed that the low-Pd Gezi Cave was enriched in genes associated with organic carbon degradation, nitrogen input and retention, and secondary metabolism. Metabolomic profiling further identified cave-specific metabolite signatures, among which Biochanin A, 4-Hydroxybenzaldehyde, Vanillin, and Arachidonic acid were negatively correlated with Pd loads. Integrated pathway and network analyses showed that differential genes and metabolites jointly mapped to secondary metabolite biosynthesis, aminobenzoate degradation, and flavonoid degradation pathways, forming a microbe-metabolite-functional gene coupling network involving key taxa such as Rhodococcus, Pseudorhodoplanes, and Rhodoplanes. In vitro assays confirmed that 4-Hydroxybenzaldehyde, Coumarin, and Vanillin inhibited Pd growth. Structural equation modelling further indicated that environmental heterogeneity was associated with variation in Pd loads through microbial functional attributes and metabolite profiles. These findings suggest that naturally low-Pd cave soils are associated with coordinated environmental filtering, microbial functional specialization, and antifungal metabolite production, providing mechanistic insight into microbial and biochemical constraints on Pd persistence in cave reservoirs.},
}

Animals
Multiomics
*Soil Microbiology
*Ascomycota/drug effects/isolation & purification
*Caves/microbiology
*Chiroptera/microbiology
Metabolomics
*Antifungal Agents/pharmacology/metabolism
China
Microbiota/genetics
Metagenomics
Soil/chemistry

@article {pmid42699236,
year = {2026},
author = {Zhang, S and Si, Z and Yang, N and Chen, X},
title = {Exposure-aware multi-omics and artificial intelligence for biomarker discovery and precision prevention in diffuse glioma.},
journal = {Frontiers in immunology},
volume = {17},
number = {},
pages = {1874861},
pmid = {42699236},
issn = {1664-3224},
mesh = {Humans ; *Glioma/etiology/prevention & control/diagnosis/genetics/metabolism ; Multiomics ; *Biomarkers, Tumor ; *Brain Neoplasms/prevention & control/etiology/diagnosis/genetics ; *Artificial Intelligence ; Precision Medicine/methods ; *Environmental Exposure/adverse effects ; Animals ; Metabolomics ; },
abstract = {Diffuse gliomas are now diagnosed and studied through integrated molecular classification, radiomics, single-cell biology, spatial profiling, proteogenomics, metabolomics, and artificial intelligence. Yet many precision-medicine models still begin at diagnosis and emphasize tumor-intrinsic molecular features, leaving environmental, occupational, lifestyle, microbiome, metabolic, immune, and treatment-related exposures at the margins. This review develops an exposome-informed view of diffuse glioma biomarker discovery. Biomarker discovery is separated from clinical prevention: current evidence does not justify population-level glioma screening based on environmental exposures, but it does support systematic integration of external exposures and internal exposure-related molecular states with tumor and host biology. The synthesis focuses on five linked dimensions: the limits of current artificial intelligence and multi-omics models when exposure biology is excluded; glioma-relevant exposure domains stratified by evidence strength and measurability; genotoxic, epigenetic, vascular, neuroimmune, and immunometabolic conduits through which exposures may shape tumor ecology; computational strategies for temporally anchored integration of geospatial, occupational, clinical, liquid-biopsy, imaging, tumor-omic, single-cell, spatial, microbiome, and metabolomic data; and clinically realistic applications in high-risk surveillance, recurrence-aware monitoring, treatment-toxicity reduction, and biomarker-guided trial stratification. By aligning exposome science with systems neuro-oncology, the review outlines a translational agenda for exposure-aware glioma biomarkers while maintaining a conservative boundary between established evidence, mechanistic hypotheses, and future clinical implementation.},
}

Humans
*Glioma/etiology/prevention & control/diagnosis/genetics/metabolism
Multiomics
*Biomarkers, Tumor
*Brain Neoplasms/prevention & control/etiology/diagnosis/genetics
*Artificial Intelligence
Precision Medicine/methods
*Environmental Exposure/adverse effects
Animals
Metabolomics

@article {pmid42575387,
year = {2027},
author = {El Alaoui, O and El Khiat, A and Hakem, A and Ouzyou, B and El Omari, H and Mohammed, B and Radi, FZ and Rhazi, O and En-Niari, I and Mahfoud, S and Taam, A and Talbi, FZ},
title = {Spatiotemporal dynamics and ecological determinants of cutaneous Leishmaniasis in Errachidia Province, southeastern Morocco: A 16-year municipality-level analysis with SARIMA forecasting.},
journal = {Parasitology international},
volume = {116},
number = {},
pages = {103363},
doi = {10.1016/j.parint.2026.103363},
pmid = {42575387},
issn = {1873-0329},
mesh = {Morocco/epidemiology ; *Leishmaniasis, Cutaneous/epidemiology ; Incidence ; Animals ; Humans ; Spatio-Temporal Analysis ; Geographic Information Systems ; Female ; Seasons ; Socioeconomic Factors ; *Phlebotomus/parasitology ; Male ; Insect Vectors/parasitology ; Forecasting ; Cities/epidemiology ; },
abstract = {Leishmaniasis is a vector-borne parasitic disease transmitted by female sandflies of the genus Phlebotomus and affects approximately 1.2 million people annually in more than 90 countries worldwide. Morocco remains one of the most affected countries in North Africa, where the disease continues to represent a major public health concern. This study aimed to analyze the spatial and temporal trends of leishmaniasis incidence across all municipalities of Errachidia Province between 2010 and 2025 and to assess the influence of ecological, demographic, and socio-economic factors on its distribution. Also, the study aimed to predict the monthly CL cases using the Seasonal Autoregressive Integrated Moving Average (SARIMA) model. Epidemiological data on parasitologically confirmed cases obtained from the Errachidia Provincial Health Delegation were processed using geographic information system (GIS) tools and statistical methods to explore spatial patterns and correlations with environmental and socio-demographic variables. The models are trained and evaluated using monthly CL cases collected from 2010 to 2025, with the optimal model selected based on Akaike Information Criterion (AIC). During 16-years study period, 7034 cases were recorded in Errachidia Province, with the highest incidence reported in 2010 (860 cases per 100,000 inhabitants). Overall, the incidence showed marked temporal fluctuations but demonstrated a general decreasing trend over the study period. A pronounced spatial heterogeneity was observed between rural municipalities (Sid Ali, Melaab, and Ferkla) and urban municipalities (Errachidia, Arfoud, and Goulmima) (p < 0.01). The disease was slightly more frequent in females (54.41%) than in males (45.59%), and a significant difference was observed among age groups (p = 0.019), with the 0-9 and 10-19-year groups being the most affected. Seasonal analysis revealed a peak incidence during winter. In addition, higher incidence was associated with low- to medium-altitude municipalities, while no significant association was observed with poverty or vulnerability indices. The SARIMA (0,0,1)12 model demonstrated the best predictive performance. These findings highlight the heterogeneity and ecological determinants of leishmaniasis in southeastern Morocco and may support targeted surveillance and control strategies in high-risk areas.},
}

Morocco/epidemiology
*Leishmaniasis, Cutaneous/epidemiology
Incidence
Animals
Humans
Spatio-Temporal Analysis
Geographic Information Systems
Female
Seasons
Socioeconomic Factors
*Phlebotomus/parasitology
Male
Insect Vectors/parasitology
Forecasting
Cities/epidemiology

@article {pmid42518220,
year = {2026},
author = {Di, D and Wang, S and Qiu, W and Gai, X and Xiao, J and Wang, S and Zhuo, R and Chen, G},
title = {Multi-omics analysis reveals the mechanisms of biochar-mediated cadmium transport in Salix: insights into rhizosphere phosphorus-iron coupling and transporter expression.},
journal = {Tree physiology},
volume = {46},
number = {9},
pages = {},
doi = {10.1093/treephys/tpag104},
pmid = {42518220},
issn = {1758-4469},
mesh = {*Cadmium/metabolism ; *Salix/metabolism/genetics ; Rhizosphere ; *Iron/metabolism ; *Phosphorus/metabolism ; *Charcoal ; Biological Transport ; Multiomics ; Biodegradation, Environmental ; Plant Roots/metabolism ; },
abstract = {Biochar addition promotes cadmium (Cd) phytoremediation of woody plants, especially phosphorus (P)-modified biochar. However, the underlying mechanism of the uptake and transport of Cd transport mediated by biochar remains unclear. Here, we integrated physiological, metagenomics, transcriptomics and in situ laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) imaging analysis to investigate how bamboo biochar (BBC) and phytic acid-modified biochar (PABC) impact Cd accumulation and transport in Salix J1010 through root-soil interface. Our results showed that PABC significantly increased Cd translocation from roots to aboveground by 77.9% and total Cd accumulation in plants by 203%, respectively. Iron plaque emerged as a key factor, with PABC-mediated inhibition of iron plaque (-44.6%) accelerating Cd uptake. This iron plaque decrease is closely accompanied by the decreased soil redox potential (Eh), enriched resin-P and inorganic P fractions, and potential coupling of P mineralization and Fe(III)-reducing processes in the rhizosphere soil. Transcriptomics analysis further revealed that PABC influenced root metal transporters expression, downregulating vacuolar sequestration-related ABC, CAX, metal tolerance protein gene families, while upregulating most ZIP, HMA and YSL genes families involved in xylem loading. LA-ICP-MS imaging corroborated the enhanced Cd transport in xylem tissue. PABC enhanced leaf cell-wall Cd binding and antioxidant defenses, thereby promoting Cd detoxification and accumulation. Collectively, the enhanced phytoremediation capacity of willow was driven by coordinating trade-offs across multiple levels, including the rhizosphere, subcellular scales and whole plant. These results provide a mechanistic basis for biochar-assisted phytoremediation strategies in Cd-contaminated soils.},
}

*Cadmium/metabolism
*Salix/metabolism/genetics
Rhizosphere
*Iron/metabolism
*Phosphorus/metabolism
*Charcoal
Biological Transport
Multiomics
Biodegradation, Environmental
Plant Roots/metabolism

@article {pmid42689779,
year = {2026},
author = {Short, S and Green Etxabe, A and Swart, E and Rivetti, C and Campos, B and Krishnan, R and Kille, P and Spurgeon, DJ},
title = {Exploiting Omic Data to Advance Predictive Ecotoxicology.},
journal = {Environmental science & technology},
volume = {60},
number = {34},
pages = {23642-23660},
doi = {10.1021/acs.est.6c01198},
pmid = {42689779},
issn = {1520-5851},
support = {101057014//European Partnership for the Assessment of Risks from Chemicals (PARC) under the EU Horizon Europe Research and Innovation Programme/ ; BB/X511468/1//Biotechnology and Biological Sciences Research Council (BBSRC), part of UK Research and Innovation (UKRI)/ ; NE/S00224/2//Natural Environment Research Council (NERC)/ ; },
mesh = {*Ecotoxicology ; Genomics ; Animals ; Risk Assessment ; Computational Biology ; },
abstract = {Predicting species-specific chemical sensitivity using in silico approaches has the potential to transform environmental risk assessment, conservation, and biomonitoring, while reducing, and ultimately replacing, animal testing. Genomic and transcriptomic data capture extensive sensitivity-relevant variation, including differences in molecular targets, xenobiotic metabolism, and damage mitigation pathways. Large-scale sequencing initiatives therefore offer an unprecedented opportunity to address ecotoxicology's "too many species" problem. Although existing omic-based predictive tools provide proof of concept, they have so far been applied to a narrow set of relatively straightforward prediction scenarios. To achieve broader applicability, current and future tools must be firmly grounded in the diverse molecular mechanisms underlying differential chemical responses. Here, we critically evaluate the emerging field of predicting species sensitivity using molecular variation inferred from omic data. We analyze the strengths and limitations of current omic-based approaches and identify major sequence and ecotoxicological data gaps, as well as critical bioinformatic challenges. We then review the current knowledge of how molecular biology underlies differential chemical sensitivity, outlining research paths to allow the next generation of sensitivity prediction tools to exploit ever expanding omic data.},
}

*Ecotoxicology
Genomics
Animals
Risk Assessment
Computational Biology

@article {pmid42690503,
year = {2026},
author = {Indurthi, S and Kaur, G and Dutta, R and Madhu, S and Chodasani, B and Yadav, A and Singh, M and Meena, TK and Singh, G},
title = {Integrating genomics, multi-omics, CRISPR and speed breeding for stress-resilient vegetable legume improvement.},
journal = {Functional & integrative genomics},
volume = {26},
number = {1},
pages = {},
pmid = {42690503},
issn = {1438-7948},
mesh = {*Fabaceae/genetics/metabolism ; *Plant Breeding ; Multiomics ; *Stress, Physiological/genetics ; Genomics ; Quantitative Trait Loci ; Genome, Plant ; CRISPR-Cas Systems ; Gene Editing ; },
abstract = {Vegetable legumes are nutritionally and ecologically important crops. However, their genetic improvement has not kept pace with the increasing challenges posed by climate change due to the polygenic nature of stress tolerance, narrow genetic diversity, and the persistent gap between molecular discoveries and field-level cultivar development. Although recent reviews have examined individual genomic tools or specific stress responses, a comprehensive synthesis integrating genomics-assisted breeding, multi-omics technologies, genome editing, and speed breeding within a unified crop improvement framework has been lacking. This review addresses that gap by critically evaluating how these complementary approaches can accelerate the development of stress-resilient vegetable legumes, including pea, common bean, cowpea, faba bean, cluster bean, yard-long bean, and hyacinth bean. This review synthesizes advances in QTL mapping, genome-wide association studies, transcriptomics, metabolomics, and CRISPR-based functional genomics that have identified key regulators and pathways underlying resistance to major biotic and abiotic stresses. Rather than considering these technologies independently, the review emphasizes their convergence into a systems-level breeding framework integrating genomic discovery, functional validation, predictive breeding, and accelerated generation advancement to improve breeding efficiency. Speed breeding, enabling up to seven to eight generations annually under optimized controlled-environment experimental conditions in cowpea, is discussed as a complementary strategy with genomic selection and genome editing. The review further identifies major translational bottlenecks, including transformation recalcitrance, limited genomic resources for underutilized vegetable legumes, inadequate multi-environment validation, and fragmented omics integration, and presents an integrated systems-breeding framework to bridge the gap between gene discovery and cultivar development.},
}

*Fabaceae/genetics/metabolism
*Plant Breeding
Multiomics
*Stress, Physiological/genetics
Genomics
Quantitative Trait Loci
Genome, Plant
CRISPR-Cas Systems
Gene Editing

@article {pmid42276166,
year = {2026},
author = {Wei, C and Zeng, B and Zhou, X and Qing, B and Deng, L and Wu, Y and Huang, W and Zhang, Z and Jin, Y and Peng, S and Zhang, C and Qiu, S},
title = {Proteomics in environmental pollution research: Advances, challenges, and future directions.},
journal = {Journal of proteomics},
volume = {331},
number = {},
pages = {105693},
doi = {10.1016/j.jprot.2026.105693},
pmid = {42276166},
issn = {1876-7737},
mesh = {*Proteomics/methods/trends ; *Environmental Pollution/analysis/adverse effects ; *Environmental Monitoring/methods ; Humans ; Multiomics ; Artificial Intelligence ; Animals ; },
abstract = {Environmental proteomics has emerged as a powerful approach for elucidating the molecular mechanisms underlying pollutant-induced biological effects. Although this field has developed rapidly, the systematic review of recent proteomics applications in environmental pollution research remains limited. This review explored the emerging roles of toxicoproteomics in biomarker discovery and mechanistic elucidation, as well as ecotoxicoproteomics in ecological risk assessment and bioremediation strategies. Here, we review the field, highlighting recent trends such as the integration of proteomics with genomics, transcriptomics, and metabolomics to provide a comprehensive view of biological responses to environmental stressors. We further discuss the growing application of artificial intelligence in improving proteomics data interpretation and accelerating biomarker discovery. In addition, recent technological advances in environmental proteomics are highlighted, including next-generation tissue microarray proteomics, nanoscale proteomics, single-cell proteomics, and spatial proteomics. Despite its potential, proteomics faces challenges, such as high operational costs, computational complexity in analysis, and technical limitations in low-abundance protein detection. We propose that the convergence of proteomics with artificial intelligence and multi-omics approaches offers promising solutions to these challenges, enhancing the practical application of proteomics in environmental monitoring and risk assessment.},
}

*Proteomics/methods/trends
*Environmental Pollution/analysis/adverse effects
*Environmental Monitoring/methods
Humans
Multiomics
Artificial Intelligence
Animals

@article {pmid42497665,
year = {2026},
author = {Zhang, F and Shang, J and Jiang, S and Zhang, X and Yan, S and Sun, Y and Liu, JX},
title = {AGSI: Adaptive group-enhanced strategy for iterative integration of single-cell multi-omics.},
journal = {Computer methods and programs in biomedicine},
volume = {286},
number = {},
pages = {109556},
doi = {10.1016/j.cmpb.2026.109556},
pmid = {42497665},
issn = {1872-7565},
mesh = {*Multiomics ; Animals ; Humans ; Mice ; Algorithms ; Reproducibility of Results ; *Single-Cell Analysis ; Computational Biology/methods ; Software ; Myocardial Infarction/genetics ; Leukocytes, Mononuclear/metabolism ; Brain ; },
abstract = {BACKGROUND AND OBJECTIVE: Single-cell multi-omics data integration is critical for understanding cellular heterogeneity and disease mechanisms. However, current methods face two key limitations: (1) uniform evaluation of cross-modal correspondence across all genes, neglecting the modular organization of biological systems, and (2) static integration strategies that fail to accommodate varying degrees of cell-level heterogeneity. To address these challenges, this study proposes AGSI, an adaptive framework for robust multi-omics integration through co-regulated gene modules and iterative reliability assessment.

METHODS: AGSI employs Latent Dirichlet Allocation to identify co-regulated gene modules and evaluates cross-modal correspondence at the module level. AGSI combines Wasserstein-enhanced similarity metrics with dual reliability modeling to progressively identify and integrate cells with high cross-modal concordance. Adaptive thresholding dynamically adjusts selection criteria throughout the iterative refinement process.

RESULTS: Extensive experiments on multiple datasets including PBMC, SNARE-seq mouse brain, 10x mouse brain, and large-scale human myocardial infarction data demonstrate that AGSI significantly outperforms seven state-of-the-art methods. Notably, AGSI achieves up to 25.6% F1 improvement over its ablation baseline and 11.9% over the best competing method on complex neural datasets, and maintains over 85% accuracy even under 50% data dropout.

CONCLUSIONS: AGSI provides a robust and scalable solution for multi-omics integration that preserves biological interpretability while achieving superior technical performance. AGSI is well suited to biomedical analyses requiring accurate cell type identification. The implementation code is available at https://github.com/CDMBlab/AGSI.},
}

*Multiomics
Animals
Humans
Mice
Algorithms
Reproducibility of Results
*Single-Cell Analysis
Computational Biology/methods
Software
Myocardial Infarction/genetics
Leukocytes, Mononuclear/metabolism
Brain

@article {pmid42681281,
year = {2026},
author = {Mussano, P and Crosino, A and Lanfranco, L and Turina, M and Forgia, M},
title = {Investigating RNA Viruses Infecting Arbuscular Mycorrhizal Fungi.},
journal = {Methods in molecular biology (Clifton, N.J.)},
volume = {3045},
number = {},
pages = {171-183},
pmid = {42681281},
issn = {1940-6029},
mesh = {*Mycorrhizae/virology ; *RNA Viruses/genetics/isolation & purification ; *Fungal Viruses/genetics ; RNA, Viral/genetics/isolation & purification ; Computational Biology/methods ; Genome, Viral ; Virome ; },
abstract = {Fungi are known to be frequently infected by mycoviruses, which could play an important yet underexplored role in the fungal holobiont. Mycoviruses can enhance fungal traits, such as salinity tolerance and resistance to fungicides, and may also benefit plant hosts in tripartite interactions. While research on arbuscular mycorrhizal fungi (AMF) has focused on their ecological and agricultural value, few studies have explored their virome, possibly due to the difficulty of culturing AMF in the lab. This study presents an updated bioinformatic approach for virome characterization, emphasizing RNA viral ORFans and providing protocols for high-quality RNA extraction from AMF.},
}

*Mycorrhizae/virology
*RNA Viruses/genetics/isolation & purification
*Fungal Viruses/genetics
RNA, Viral/genetics/isolation & purification
Computational Biology/methods
Genome, Viral
Virome