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Bibliography on: Alzheimer Disease — Current Literature

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Robert J. Robbins is a biologist, an educator, a science administrator, a publisher, an information technologist, and an IT leader and manager who specializes in advancing biomedical knowledge and supporting education through the application of information technology. More About:  RJR | OUR TEAM | OUR SERVICES | THIS WEBSITE

RJR: Recommended Bibliography 20 Sep 2026 at 01:36 Created: 

Alzheimer Disease — Current Literature

Alzheimer's disease is an irreversible, progressive brain disorder that slowly destroys memory and thinking skills, and eventually the ability to carry out the simplest tasks. In most people with Alzheimer's, symptoms first appear in their mid-60s. Alzheimer's is the most common cause of dementia among older adults. Dementia is the loss of cognitive functioning — thinking, remembering, and reasoning — and behavioral abilities to such an extent that it interferes with a person's daily life and activities. Dementia ranges in severity from the mildest stage, when it is just beginning to affect a person's functioning, to the most severe stage, when the person must depend completely on others for basic activities of daily living. Scientists don't yet fully understand what causes Alzheimer's disease in most people. There is a genetic component to some cases of early-onset Alzheimer's disease. Late-onset Alzheimer's arises from a complex series of brain changes that occur over decades. The causes probably include a combination of genetic, environmental, and lifestyle factors. The importance of any one of these factors in increasing or decreasing the risk of developing Alzheimer's may differ from person to person. This bibliography runs a generic query on "Alzheimer" and then restricts the results to papers published in or after 2017.

Created with PubMed® Query: 2024:2026[dp] AND ( alzheimer*[TIAB] ) NOT pmcbook NOT ispreviousversion

Citations The Papers (from PubMed®)

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RevDate: 2026-09-18
CmpDate: 2026-09-18

Ran J, Wei Q, Lu T, et al (2026)

Cognitive-enhancing effects of a herbal combination on D‑galactose‑induced memory impairment.

Cellular and molecular biology (Noisy-le-Grand, France), 72(5):1-6.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss, for which effective pharmacological interventions remain limited. This study investigated the cognitive-enhancing effects of an optimized six‑herbal combination (HC) comprising Polygonati Rhizoma (PR), Lycium barbarum polysaccharides (LBPs), Green Tea (GT), Jujube Seeds (JS), Fructus hippophae (FH), and Mori Folium (MF). Using the Ellman method, we evaluated the acetylcholinesterase (AChE) inhibitory activities of individual herbs and HC. An L25(4[6]) orthogonal design was employed to determine the optimal proportions of the six herbs, with AChE inhibition as the evaluation index. The optimal HC composition (PR 9 g, LBPs 6 g, GT 3 g, JS 3 g, FH 3 g, MF 5 g) exhibited 88.11% AChE inhibition at 2000 μg/mL, which was significantly higher than that of any individual herb (p < 0.05). Network pharmacology analysis revealed 682 common targets between HC and AD, with significant enrichment in the PI3K‑Akt signaling pathway, lipid metabolism, and chemical carcinogenesis‑receptor activation pathways, suggesting multi‑target mechanisms of action. In a D‑galactose‑induced subacute aging mouse model (3.5 g·kg[-1], 70 days), HC treatment (0.75, 1.5, and 3.0 g·kg[-1], 28 days) significantly improved spatial learning and memory in the Morris water maze. Specifically, HC at 1.5 g·kg[-1] significantly reduced escape latency (p < 0.01 vs. D‑galactose group), increased superoxide dismutase (SOD) and glutathione (GSH) levels (p < 0.05), and decreased malondialdehyde (MDA) and monoamine oxidase (MAO) levels (p < 0.01), while ameliorating hippocampal neuronal damage, as confirmed by hematoxylin and eosin staining. These findings demonstrate that HC exhibits potent anti‑cholinesterase activity, modulates oxidative stress, and protects against neuronal injury, positioning it as a promising multi‑target botanical candidate for further development in the prevention and management of AD.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Abdi K, Amiri M, Asadalizadeh M, et al (2026)

LncRNA Loc646329 modulates Alzheimer's disease-related phenotypes through the miR-150/WNT/β-catenin axis in cellular and APP/PS1 mouse models.

Molecular biology reports, 53(1):.

BACKGROUND: Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, neuronal apoptosis, and amyloid‑β (Aβ) deposition. Dysregulation of the WNT/β‑catenin signaling pathway contributes to AD pathogenesis, yet the upstream regulatory mechanisms, particularly those involving long non‑coding RNAs (lncRNAs), remain unclear. This study investigated the neuroprotective role and molecular mechanism of lncRNA Loc646329 in AD models.

METHODS AND RESULTS: Analysis of publicly available human Alzheimer's disease sequencing datasets was performed to examine the expression patterns of Loc646329 and miR-150 in AD and control brain sample. Subcellular localization and interaction with miR‑150 were examined using fluorescence in situ hybridization, AGO2‑RNA immunoprecipitation, and dual‑luciferase reporter assays in SH‑SY5Y cells. Functional assays, including CCK-8, EdU incorporation, Annexin V-FITC/PI flow cytometry, and TUNEL staining, demonstrated that Loc646329 overexpression improved cell viability and reduced apoptosis under Aβ1-42-induced neurotoxic conditions. Mechanistically, Loc646329 localized predominantly in the cytoplasm and directly interacted with miR-150. MiR-150 mimic experiments further indicated that the effects of Loc646329 on GSK3β phosphorylation, β-catenin stabilization, and WNT/β-catenin signaling were at least partly miR-150-dependent. In APP/PS1 mice, stereotaxic injection of AAV‑Loc646329 into the hippocampus improved spatial learning and memory in the Morris water maze, reduced Aβ plaque burden, and increased β‑catenin activation.

CONCLUSIONS: These findings provide preclinical evidence that the Loc646329/miR-150/WNT signaling axis contributes to neuronal survival and modulates AD-related pathological changes. Loc646329 may therefore represent a candidate molecular regulator for further investigation; however, additional validation in primary or human-derived neuronal models and clinical samples is required before its therapeutic relevance can be established.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Ke J, Xuekelati S, Maimaitiwusiman Z, et al (2026)

A multimodal model for clinically defined MCI integrating plasma biomarkers and brain microstructural features: a dual-cohort external validation study.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 47(10):.

OBJECTIVE: Mild cognitive impairment (MCI) is clinically and etiologically heterogeneous. We aimed to develop and externally validate a multimodal model for distinguishing clinically defined MCI from normal cognition using plasma biomarkers and diffusion tensor imaging (DTI)-derived white-matter features.

METHODS: We analyzed 310 participants from a local discovery cohort (n = 153; 80 MCI and 73 cognitively normal [NC]) and an independent Alzheimer's Disease Neuroimaging Initiative phase 4 (ADNI4) validation cohort (n = 157; 68 MCI and 89 NC). Plasma phosphorylated tau 217 (p-tau217), neurofilament light chain (NFL), and glial fibrillary acidic protein (GFAP) were log-transformed and standardized using parameters estimated exclusively from NC participants in the local discovery cohort and then frozen for application to ADNI. Twenty-seven tract-level fractional anisotropy (FA) measures were considered as candidate imaging predictors. DTI feature selection used L1-penalized logistic regression with the 1-SE rule, with feature selection repeated within nested 10-fold cross-validation. Logistic regression (LR), support vector machine (SVM), random forest (RF), and XGBoost models were developed using local data, and the finalized pipelines were subsequently applied to ADNI4 without feature reselection, hyperparameter tuning, or recalibration.

RESULTS: Plasma p-tau217, NFL, and GFAP were higher in MCI than NC in both cohorts (all cohort-specific P ≤ 0.005). LASSO selected fornix (FX) and cingulum hippocampus (CGH) FA, and both features were retained in all 10 outer cross-validation folds. Nested internal AUCs ranged from 0.791 to 0.839. Under strict external validation, RF achieved the highest AUC of 0.829 (95% CI 0.762-0.889), followed by SVM with an AUC of 0.802 (95% CI 0.730-0.870), XGBoost with an AUC of 0.790 (95% CI 0.714-0.860), and LR with an AUC of 0.770 (95% CI 0.688-0.843). Relative to plasma biomarkers plus demographics, the full multimodal models significantly improved external discrimination across all four classifiers (all P ≤ 0.004). Improvements relative to DTI plus demographics were smaller and classifier-dependent; only RF showed a statistically significant increment (ΔAUC = 0.063, 95% CI 0.004-0.125; P = 0.036). RF had the lowest external Brier score (0.171). In the local cohort, lower FX and CGH FA remained associated with MCI after adjustment for available vascular and metabolic risk factors.

CONCLUSION: A multimodal signature combining two selected DTI features with three prespecified plasma biomarkers and demographic covariates showed reproducible discrimination of clinically defined MCI across independent cohorts. The findings support further evaluation of this approach as an adjunctive MCI risk-stratification strategy but do not establish Alzheimer's disease (AD)-specific etiology or clinical readiness. Prospective validation incorporating amyloid/tau status, longitudinal conversion outcomes, and real-world calibration is required.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Ye Z, Xu J, Zhang T, et al (2026)

Multi-omics Insights into Oxidative Stress-related Genes and Neurodegenerative Diseases: From Epigenetic Regulation to Pathogenic Pathways.

Journal of molecular neuroscience : MN, 76(4):.

Oxidative stress (OS) is critically implicated in the onset and progression of neurodegenerative diseases (NDDs), yet its genetic determinants remain insufficiently elucidated. This study aims to delineate the putative causal relationships between OS-related genes (OSRGs) and NDDs, along with the potential regulatory and pathogenic mechanisms. Summary-data-based Mendelian randomization (SMR) was conducted to explore the putative causal associations of 936 OSRGs with NDDs, integrating genome-wide association studies (GWAS) data and expression quantitative trait loci (eQTL) data, using a multi-cohort design with blood eQTLs for discovery and replication, followed by brain eQTL validation. Subsequently, colocalization analysis was used to verify putative causal inferences in SMR. In addition, DNA methylation regulation and pathway enrichment analyses were applied to explore potential regulatory and pathogenic mechanisms. Genetically predicted levels of 15 genes were found to be significantly associated with the risk of NDDs. Higher genetically predicted expression of ACE and TP53INP1 was associated with decreased Alzheimer's disease risk, whereas higher TSFM expression was associated with increased multiple sclerosis risk; these associations were consistently supported by replication cohort and brain eQTL validation for ACE and TSFM, while TP53INP1 showed brain-level consistency without replication. Among 15 genes, the expression levels of ACE, TP53INP1, and other 5 genes were regulated by DNA methylation. Pathway enrichment analysis showed specific enrichment in autophagy-apoptosis and mitochondrial pathways. These findings provide genetic evidence supporting a putative causal role of OSRGs on NDDs, offering mechanistic insights and potential therapeutic targets, and substantially advance the pathobiological understanding of NDDs.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Lena O, J Todri (2026)

Global Postural Reeducation in Mild Alzheimer's Disease: A Secondary Analysis of an RCT.

American journal of Alzheimer's disease and other dementias, 41:15333175261489372.

BackgroundDepression and neuropsychiatric symptoms are common in Alzheimer's disease (AD) and may contribute to functional decline and reduced quality of life.MethodsThis secondary analysis used data from a randomized controlled trial (NCT03732053). Fifty-eight participants were analyzed: 36 received supervised GPR twice weekly for 24 weeks and 22 received usual care. Outcomes included the Geriatric Depression Scale (GDS), Neuropsychiatric Inventory (NPI), Mini-Mental State Examination (MMSE), Barthel Index, and Performance-Oriented Mobility Assessment (POMA). Repeated-measures ANOVA and baseline-adjusted analyses were performed.ResultsAt 24 weeks, GDS scores were lower with GPR than usual care (4.72 ± 2.36 vs. 8.41 ± 2.15; p < 0.001). Significant group × time effects were observed for NPI, MMSE, Barthel Index, and POMA (all p < 0.001).ConclusionGPR may provide complementary benefits across psychological, cognitive, and functional outcomes in mild AD, although baseline imbalance and differential attrition warrant cautious interpretation.

RevDate: 2026-09-18

Anderer S (2026)

FDA Approves 2 New Alzheimer Disease Blood Tests.

JAMA pii:2854427 [Epub ahead of print].

RevDate: 2026-09-18
CmpDate: 2026-09-18

Ouyang F, Pogoda TK, Reisman J, et al (2026)

Posttraumatic Stress Disorder, Health-Related Social Needs, and Cognitive Outcomes in US Veterans.

JAMA network open, 9(9):e2634839 pii:2854238.

IMPORTANCE: Posttraumatic stress disorder (PTSD) and health-related social needs (HRSNs) have been associated with cognitive decline, but their joint associations with mild cognitive impairment (MCI), Alzheimer disease (AD), and AD-related dementias (ADRD) are unclear.

OBJECTIVE: To evaluate the independent and joint associations of PTSD and HRSNs with incident MCI, AD, and ADRD and to assess additive and multiplicative interaction.

Retrospective cohort study using 2015 to 2024 National Veterans Health Administration (VHA) electronic health record data. Participants were veterans aged 55 to 100 years with a qualifying VHA encounter in 2015 and no preindex MCI, AD, or ADRD, followed up through December 31, 2024.

EXPOSURES: Time-varying PTSD, defined by at least 2 coded encounters on different dates, and time-varying HRSNs across 9 domains identified from structured data and clinical notes using natural language processing.

MAIN OUTCOMES AND MEASURES: The primary outcome was incident composite MCI, AD, or ADRD; secondary outcomes were each component separately. Time-varying Cox models estimated adjusted hazard ratios (aHRs) and 95% CIs. Multiplicative interaction was assessed using a PTSD × HRSN product term, and additive interaction using the relative excess risk due to interaction (RERI) and attributable proportion (AP).

RESULTS: The cohort included 3 817 970 veterans (mean [SD] age, 70.3 [9.1] years; 3 664 349 [96.0%] male), of whom 270 282 (7.1%) met the composite outcome with median (IQR) follow-up of 8.84 (5.02-9.03) years for the composite outcome. PTSD (aHR, 1.33; 95% CI, 1.32-1.35) and HRSNs (aHR, 2.17; 95% CI, 2.13-2.20) were independently associated with the composite outcome. Compared with neither exposure, aHRs were 2.14 (95% CI, 2.11-2.17) for HRSNs only, 1.13 (95% CI, 1.07-1.19) for PTSD only, and 2.87 (95% CI, 2.82-2.92) for both exposures. Multiplicative interaction was observed for the composite outcome (aHR, 1.19; 95% CI, 1.13-1.26), with positive additive interaction (RERI, 0.61; 95% CI, 0.54-0.67; AP, 0.21; 95% CI, 0.19-0.23). Additive interaction was observed for MCI and ADRD but not AD; multiplicative interaction was observed for ADRD but not MCI or AD.

CONCLUSIONS AND RELEVANCE: In this cohort study, PTSD and HRSNs were independently associated with incident cognitive outcomes, and co-occurring PTSD and HRSNs may identify veterans with higher observed hazards of cognitive impairment and dementia.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Kokorelias KM, Simpson R, Beleno R, et al (2026)

Conceptualizations of compassion in the context of dementia caregiving: A scoping review protocol.

PloS one, 21(9):e0357411 pii:PONE-D-25-43447.

BACKGROUND: Compassion is widely recognized as a vital component of dementia caregiving, yet its conceptualization, definition, and operationalization remain inconsistent across contexts. In dementia caregiving, compassion is often conflated with empathy, emotional labor, and relational care, obscuring its unique characteristics and applications. Clarifying how compassion is understood and applied, particularly among unpaid family caregivers, is essential for advancing research, policy, and practice.

OBJECTIVE: This paper outlines a scoping review protocol to map and synthesize empirical studies examining the conceptualizations, definitions, and operationalization of compassion in dementia caregiving by unpaid family caregivers. The forthcoming review will identify how compassion is framed and measured across diverse care settings and caregiver populations, providing a foundation to inform future compassion-based interventions and assessment tools.

METHODS: Following Joanna Briggs Institute (JBI) methodology and the PRISMA-ScR reporting guidelines, this forthcoming review will systematically search CINAHL, EMBASE, MEDLINE, and PsycINFO. Eligible studies include qualitative, quantitative, and mixed-method empirical research focused on family caregivers of persons living with dementia. Studies exploring compassion or self-compassion conceptualization, definition, or operationalization will be included. Non-empirical works, reviews, and paid caregiving roles are excluded. Screening and data extraction will be conducted independently by two reviewers using a form informed by the Compassion-Focused Care Framework (CFCF), which emphasizes Affiliative relationships, Bidirectional communication, Compassionate partnerships, and the structural supports of Compassionate Design, Education, and systemic Call to Action. Data will be synthesized using descriptive statistics and qualitative content analysis.

Caregiver partners from Alzheimer's Societies and Ontario Health Teams will contribute throughout the review process, including study selection, interpretation, and dissemination. Engagement is structured according to the Ontario Brain Institute framework and CIHR principles, ensuring inclusiveness, mutual respect, support, and co-building. A peer-researcher with lived caregiving experience will lead patient engagement efforts.

DISCUSSION: This review will provide a comprehensive synthesis of how compassion is understood and applied in family dementia caregiving, addressing a critical gap in the literature. By identifying existing measures and conceptual frameworks, the findings will inform the development of more nuanced, caregiver-centered interventions and policies aimed at enhancing compassionate care. Ultimately, this work seeks to support caregivers' well-being and improve care quality for people living with dementia.

RevDate: 2026-09-18

Li C, Mao Y, Liu X, et al (2026)

Data-driven modeling of spatiotemporal dynamics using multimodal imaging data.

PLoS computational biology, 22(9):e1014751 pii:PCOMPBIOL-D-26-00546 [Epub ahead of print].

Understanding how biological systems evolve across space and time remains a fundamental challenge, particularly when dynamic processes vary substantially across individuals. We present a personalized graph-based dynamical modeling framework for characterizing spatiotemporal biological dynamics from longitudinal multimodal imaging data. The framework constructs individualized brain graphs from MRI and PET measurements and learns patient-specific dynamical parameters governing regional structural and molecular changes. Applied to 1,891 participants from the Alzheimer's Disease Neuroimaging Initiative, the model captures the coordinated evolution of amyloid-β, tau, neurodegeneration, and cognition and accurately predicts their future trajectories, outperforming established clinical and neuroimaging benchmarks. Patient-specific dynamical parameters reveal distinct patterns of biological progression and provide improved prediction of future cognitive decline compared with standard biomarkers. Sensitivity analysis further identifies regional network features associated with the propagation of pathological and structural changes, recovering known temporolimbic and frontal vulnerability patterns. These results demonstrate how data-driven dynamical modeling can integrate multimodal longitudinal measurements to uncover individualized spatiotemporal patterns and latent mechanisms of biological change. The framework provides a quantitative approach for studying complex biological dynamics across heterogeneous individuals and establishes a foundation for personalized modeling of progressive biological processes.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Park T, Chang L, Chung SW, et al (2026)

Targeting glial PD-1/PD-L1 restores microglial homeostasis and reduces neuronal hyperactivity in an Alzheimer's disease model.

Science advances, 12(38):eadx0731.

Alzheimer's disease (AD) involves complex neuroimmune dysregulation, and the role of immune checkpoint pathways in regulating neuro-glial interactions and intrinsic glial homeostasis remains unclear. In AD, glial expression of programmed cell death protein 1 (PD-1) and its ligand (PD-L1) is elevated in mouse models and human patients, suggesting involvement of immune checkpoint signaling in glial function. To define the role of this pathway in the AD brain, we locally modulated PD-1/PD-L1 signaling by intracortical anti-PD-L1 injection in 8-10-month-old 5xFAD mice, combined with in vivo two-photon imaging and quantitative functional analyses. Brain-intrinsic PD-L1 blockade reshaped the local glial microenvironment, restoring impaired microglial process convergence and increasing P2RY12 expression, a key marker of homeostatic function, with concomitant attenuation of aberrant neuronal hyperactivity. Astrocyte-specific PD-L1 knockdown produced similar effects, indicating a key role of astrocytic PD-L1 in regulating microglia-neuron interactions. These findings suggest that the glial PD-1/PD-L1 axis functions as a brain-intrinsic regulator of glial homeostasis linked to neuronal dysfunction in AD.

RevDate: 2026-09-18

Calemi C, Bruffaerts R, T Ellender (2026)

The effect of neurodegeneration on ultrasonic vocalisations (USV) and their neuronal substrates in mice and rats: A systematic review.

Neurobiology of aging, 169:69-87 pii:S0197-4580(26)00161-2 [Epub ahead of print].

Neurodegenerative diseases, such as Parkinson's, Alzheimer's, and Frontotemporal Degeneration, significantly impair communication abilities in humans. Animal models, particularly rats and mice, are widely used to study the underlying mechanisms of these disorders. Ultrasonic vocalisations (USVs) play a crucial role in signalling emotional states during social interaction, mating, and distress and may reflect low versus high arousal and/or a positive versus negative affective state of the animal, making them valuable behavioural biomarkers for neurological dysfunction. This systematic review synthesises the existing literature on USVs in rodent models of neurodegeneration. Specifically, it compares USV alterations across disease models, summarises the experimental paradigms used to elicit USVs, and reviews the neurobiological findings reported alongside these vocal changes. By integrating findings across studies, this review highlights consistent patterns, methodological differences, and current knowledge gaps to guide future research. Studying USV impairments in animal models may help to neurobiologically validate biomarkers based on the detection of acoustic changes in the vocal output of patients with neurodegenerative diseases. By bridging the gap between preclinical and clinical research, this review aims to contribute to the growing field of neurobehavioral biomarkers, which could ultimately improve early diagnosis and intervention in human neurodegenerative conditions.

RevDate: 2026-09-18

Pocknell C, Dinius C, Foley R, et al (2026)

Tracing dementia: Reminiscence therapy in and from place.

Health & place, 102:103744 pii:S1353-8292(26)00139-5 [Epub ahead of print].

Across different disciplines, there has been increasing interest in the relationships between early-stage dementia, place and different forms of treatment. Reminiscence therapy has demonstrated benefits in stalling the progression of dementia, especially in its early-stage, and within such therapies, relationships between place memory and the beneficial triggering effect of place-based events and personal narratives have become important aspects. Promoting physical activity outdoors is associated with better management of dementia that additionally recognises a potential role for meaningful local places and spaces. Much of this place-based research, including go-alongs, are informed by mobile methodologies, with new spatial technologies (beyond risk-informed tracking) having much potential when used directly with patients within and outside their home places. However, there remain questions about the feasibility of using such methodologies for the purposes of place-based intervention among individuals with early-stage dementia. We document a recent proof-of-concept study, AIM-WARM, that investigated the potential impact of combining the exercise of walking and reminiscence therapy, in early Alzheimer's disease groups, to explore how such technologically-enabled place-based tools worked. Instrumental and walkability measures were augmented by digital mapping and a spatial video app, Ubipix, to capture go-alongs across familiar routes traced out within the town of Maynooth (Ireland). Specific findings identified positive results in relation to four distinct aspects of the study: walkability, cognitive instruments, the capturing of place-traces and a positive narrative response to being and moving outdoors. Additional methodological reflection considered the value of go-alongs to capture traces of people's past within their current everyday neighbourhoods, to help better understand and represent the voice of people living with dementia within community settings.

RevDate: 2026-09-18

Kusi-Mensah K, Jones N, Haroon H, et al (2026)

Mechanistic link of obesity to depression and cognitive decline in Alzheimer's disease.

Neuroscience and biobehavioral reviews, 191:106979 pii:S0149-7634(26)00436-7 [Epub ahead of print].

The global rise in obesity and metabolic dysfunction has heightened concern about their links to depression, cognitive impairment, and Alzheimer's disease (AD)-related pathology. High-fat diet (HFD) exposure, excess adiposity, and metabolic dysfunction may each contribute to these outcomes, but they represent biologically distinct conditions that should not be treated as interchangeable. Epidemiological evidence suggests links between these conditions, yet the molecular pathways connecting them remain poorly characterized. This systematic review synthesizes current evidence on how HFD exposure, excess adiposity, and metabolic dysfunction may engage overlapping mechanisms associated with depression-related outcomes, cognitive impairment, and AD-related pathology. We propose an integrated biomechanistic model illustrating how HFD exposure may contribute to depression-related outcomes, cognitive impairment, and AD-related pathology through partially overlapping mechanisms. It is presented as a molecular formulation of the classical stress-diathesis perspective, highlighting how dietary exposures may interact with preexisting vulnerabilities, including genetic, epigenetic, and environmental factors, to compromise the brain's adaptive capacity to various stressors. Finally, we discuss translational implications, identifying potential targets for interventions-dietary, pharmacological, and lifestyle-with relevance to shared mechanisms underlying depression-related and cognitive outcomes, while highlighting critical gaps in understanding-such as sex-specific effects, developmental timing, and human translational evidence-that warrant further research. Human evidence remains largely observational and does not establish that these mechanisms operate equivalently in clinically diagnosed depression or AD. Future longitudinal studies integrating dietary exposure, metabolic and inflammatory biomarkers, neuroimaging, cognitive assessment, and clinical diagnoses are needed to define human vulnerability better and to provide targeted prevention and intervention strategies.

RevDate: 2026-09-18

Cai Y, Hou Q, Cheng Z, et al (2026)

Lipid-conjugated siRNA targeting SARM1 enables CNS silencing and mitigates alzheimer-like phenotypes.

Bioorganic chemistry, 182:110526 pii:S0045-2068(26)01062-X [Epub ahead of print].

RNA interference (RNAi) therapeutics have achieved clinical success in liver disease, but their application to central nervous system (CNS) disorders remains limited. Here, we developed a lipid-conjugated siRNA to silence sterile alpha and TIR motif-containing protein 1 (SARM1), a key executor of axon degeneration associated with neuroinflammatory injury, and evaluated it in an Alzheimer-like model. siRNAs targeting conserved regions of human SARM1 and mouse Sarm1 were designed and screened in neural cells, and C16 lipid conjugation together with a 5'-(E)-vinylphosphonate (5'-VP) modification was used to support in vivo delivery. In mice, intracisterna magna (ICM) administration reduced Sarm1 mRNA in the hippocampus at the two-week time point. In the intracerebroventricular streptozotocin (STZ-ICV) model, two ICM doses of VD07C attenuated hyperlocomotion and partially improved selected spatial-memory-related endpoints. VD07C also reduced hippocampal SARM1 protein and cADPR, increased NAD[+], and was associated with lower p-Tau, glial activation markers, and NF-κB/TNF-α expression. These findings provide convergent evidence of molecular and functional target engagement and support further evaluation of lipid-conjugated SARM1 siRNAs in progressive neurodegeneration models.

RevDate: 2026-09-18

Ozcan I, Erdogan T, Taslimi P, et al (2026)

Synthesis, characterization and biological evaluation of novel imidazothiazole-based chalcone derivatives as cholinesterase inhibitors through computational and experimental approaches.

Bioorganic chemistry, 182:110540 pii:S0045-2068(26)01076-X [Epub ahead of print].

In this study, fifteen imidazothiazole-based chalcone derivatives (6-20) were synthesized and evaluated as potential cholinesterase inhibitors through computational and experimental approaches. Fourteen of these compounds are reported for the first time, while the previously known derivative (8) was newly assessed for its AChE and BChE inhibitory activities in relation to Alzheimer's disease (AD). In silico studies, including density functional theory (DFT) calculations, molecular docking, molecular dynamics simulations, binding free energy calculations, and ADMET analyses, suggested that these compounds could act as dual cholinesterase inhibitors. The compounds were synthesized via a three-step route and structurally characterized by [1]H NMR, [13]C NMR, FT-IR, and mass spectrometry. Their inhibitory activities against AChE and BChE were evaluated using the Ellman method, and kinetic parameters were determined through nonlinear regression and Lineweaver-Burk analyses. All derivatives exhibited inhibitory activity in the picomolar range. Among them, compounds 6, 12, and 20 were the most potent AChE inhibitors, whereas compounds 18, 19, and 6 showed the highest potency against BChE. Notably, compound 6 exhibited potent dual inhibition against both enzymes. Kinetic studies indicated a mixed-type inhibition mechanism, suggesting interactions with both catalytic and peripheral binding sites. Overall, these findings identify imidazothiazole-based chalcone derivatives as promising dual cholinesterase inhibitors and provide a basis for further optimization and investigation as potential therapeutic candidates for AD.

RevDate: 2026-09-18

Qu J, Yang J, Li W, et al (2026)

A miR-10a-5p-γCaMKII axis links periphery-to-brain signaling to cognitive vulnerability during female midlife.

Neuron pii:S0896-6273(26)00673-2 [Epub ahead of print].

Although women live longer, they paradoxically face heightened susceptibility to cognitive and systemic decline emerging in midlife-an underexplored transition from resilience to vulnerability. Here, we investigate biological processes associated with this female-biased vulnerability and their molecular regulation. Senescence-associated features were preferentially elevated in middle-aged females in human brain and spleen tissues, with similar changes in mice. In female mice, epigenetic upregulation of the X-linked RNA-binding protein RBMX promoted midlife increases in splenic miR-10a-5p, while complementary in vivo approaches supported a peripheral contribution to cerebral miR-10a-5p abundance. miR-10a-5p repressed calcium/calmodulin-responsive kinase γCaMKII, and modulation of this axis influenced mitochondrial function, cellular senescence, and memory in mice. In neurons derived from Alzheimer's disease patients and in model mice, miR-10a-5p inhibition attenuated disease-associated phenotypes, supporting relevance to pathological aging. Together, these findings link periphery-to-brain communication to emerging brain vulnerability during female midlife and indicate that this transition may remain amenable to intervention.

RevDate: 2026-09-18

Li X, Guo RL, Teng ZQ, et al (2026)

Histone Modifications and Chromatin Landscapes in Microglial Function: Developmental Imprinting and Disease-Associated Reprogramming.

Ageing research reviews pii:S1568-1637(26)00369-7 [Epub ahead of print].

Microglia, the brain's resident immune cells, rely on histone modifications and chromatin remodeling to sculpt their identity across the trajectory from development through aging. Recent studies have identified enhancer rewiring and metabolic-epigenetic coupling-exemplified by histone lactylation-as central drivers of microglial plasticity. Disruption of this regulatory balance drives the transition from homeostatic microglia toward disease-associated microglia (DAM) in Alzheimer's and Parkinson's diseases. This Review examines emerging concepts such as trained innate immunity, state-specific enhancer landscapes, and regional heterogeneity, and posits that epigenetic reprogramming is a central mechanism governing microglial functional transitions. These insights reveal promising therapeutic targets; however, a pressing prerequisite for clinical translation is to rigorously establish the causality of these epigenetic changes across diverse model systems, sexes, and brain regions.

RevDate: 2026-09-18

Dulong C, Trunfio-Sfarghiu AM, Lazar AN, et al (2026)

Effects of fine particulate matter on neuroblastoma cell line: metabolic and lipid deregulations and their consequences on the onset of neurological diseases.

Biochimie pii:S0300-9084(26)00230-0 [Epub ahead of print].

Particulate Matter (PM) contained in atmospheric pollution can interact with pulmonary, cardiac and nervous systems. Recent studies focus on the impact of PM2.5 on the brain and on their potential role in the onset of neurodegenerative diseases (ND) such as Alzheimer's disease. Using human neuroblastoma SH-SY5Y cell line as an in vitro neurodegenerative model, multiple interconnected cellular dysfunctions induced by PM2.5 exposure have been highlighted. This includes mitochondrial damages, reticulum endoplasmic stress, oxidative stress, calcium dyshomeostasis and lipid dysregulation. These alterations activate multiple cell death pathway though apoptosis and autophagy-dependent ferroptosis. This review aims to provide an integrated overview of these mechanisms, to better understand the association between PM2.5 exposure and cell degeneration. A particular attention is given to lipid peroxidation and oxidative damage as emerging drivers of neuronal degeneration. Despite significant advances, important gaps remain regarding the translation of in vitro findings to in vivo models and particularly to human pathology. A better understanding of key molecular events is essential to identify therapeutic targets to mitigate or prevent pollution-related neurodegenerative processes.

RevDate: 2026-09-18

Junwu F, Xiangqian R, Chengyong Y, et al (2026)

Alzheimer's disease-associated transcriptional signatures define prognostic subtypes in glioma.

Brain research pii:S0006-8993(26)00387-2 [Epub ahead of print].

BACKGROUND: Gliomas are molecularly heterogeneous central nervous system tumors with marked variation in clinical outcome. Alzheimer's disease (AD)-associated transcriptional alterations may capture neural and immune programs relevant to glioma biology, but they do not by themselves establish a direct mechanistic relationship between AD and glioma.

METHODS: AD-associated differentially expressed genes were identified from GSE132903 and evaluated in TCGA/GTEx and CGGA glioma datasets. Consensus clustering, enrichment analysis, Cox and LASSO modeling, immune deconvolution, and mutation analyses were performed. The incremental prognostic value of the AD-Driven score (ADDs) was tested after adjustment for age, sex, WHO grade, IDH status, 1p/19q codeletion, and MGMT promoter methylation. Protein-expression and glioma survival annotations for the 14 model genes were reviewed in the Human Protein Atlas (HPA).

RESULTS: We identified 470 CE-associated differentially expressed genes enriched in synaptic, calcium-signaling, and neurotransmitter pathways. A 14-gene ADDs model stratified survival in the discovery and validation cohorts. Among 554 complete cases with 147 deaths, continuous standardized ADDs remained associated with overall survival after molecular and clinicopathological adjustment (HR per SD = 1.76, 95 % CI 1.26-2.44, P = 0.0008), improving model fit (likelihood-ratio P = 0.0008) but only modestly increasing the C-index (0.876 to 0.880). HPA review provided directionally supportive glioma survival annotations for seven model genes.

CONCLUSION: The ADDs captures prognostically relevant neural and immune transcriptional variation in glioma and provides incremental information beyond established molecular variables when modeled continuously. The cross-cancer IMvigor210 analysis remains exploratory and does not establish prediction of immunotherapy benefit in glioma. HPA observations provide orthogonal public-database support for selected signature components, while independent tissue-based, mechanistic, and glioma-specific treatment-response validation remain necessary.

RevDate: 2026-09-18

Sekizar S, Holt K, Meyers S, et al (2026)

Astrocytic synapse engulfment is differentially controlled by APOE genotype.

Neuroscience pii:S0306-4522(26)00635-4 [Epub ahead of print].

APOE gene variants encoding the apolipoprotein E (ApoE) protein are strong genetic modifiers of risk of Alzheimer's disease (AD) with the APOE ε4 allele (APOE4) associated with substantially increased disease risk, APOE ε2 allele (APOE2) associated with decreased risk and APOE ε3 allele (APOE3) considered neutral. Recently the Christchurch variant of APOE3 (APOE3CH) has been shown to protect people from familial AD. Despite this strong evidence for APOE mediating AD risk, the exact biological mechanisms through which APOE influences pathogenesis remain unknown. Our previous work implicates APOE in synapse degeneration in AD with exacerbated plaque-associated synapse loss, increased accumulation of amyloid beta in synapses, and increased ingestion of synapses by glia around plaques observed in APOE4 carriers. Here we used a cell culture system to test the hypothesis that APOE isoforms would differentially regulate phagocytosis of synapses isolated from human post-mortem AD brain tissue. Human APOE expressing mouse astrocyte cell lines exhibited isoform-dependent differences in phagocytic activity with APOE2 < APOE3 < APOE4 as would be expected if APOE genotype mediated risk at least in part through synapse phagocytosis. Interestingly, astrocytes with the protective APOE3CH allele phagocytosed synapses similarly to APOE4 astrocytes indicating this variant does not likely protect from AD by reducing astrocyte phagocytosis of synapses. These findings indicate that APOE isoforms differentially regulate astrocytic engulfment of AD-associated synaptic material. These isoform-specific effects are not explained by differences in phosphatidylserine recognition, suggesting the involvement of additional mechanisms underlying ApoE-dependent modulation of astrocyte function.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Leaning IE, Costanzo A, Jagesar R, et al (2026)

Did you miss me? Making the most of digital phenotyping data by imputing missingness with point process models: observational study.

BMJ health & care informatics, 33(1): pii:bmjhci-2026-102079.

OBJECTIVES: Smartphone-based digital phenotyping can provide low-burden behavioural measures for mental disorder monitoring. However, progress in making inferences from these data is challenged by the common occurrence of missing data. We propose a method to impute missingness using non-homogeneous Poisson point process models (PPPMs), where activities (overall phone, social media, communication app usage, outgoing/incoming calls) are modelled as 'points'.

METHODS: We evaluate personalised PPPMs for imputation and investigate their influence on downstream analysis. In a ground truth evaluation (in and out-of-sample), we evaluate time-varying covariates ('hour of the day', 'day of the week'; encoded using one-hot encoding and sine-cosine transformation) to model behavioural patterns in participants from SMARD (depression; n=26). We train a hidden Markov model (HMM) on data simulated by the PPPMs and compare this to a ground truth HMM. We then perform a replication of a prior HMM analysis in PRISM (Alzheimer's disease, schizophrenia, healthy controls; n=65) and Hersenonderzoek studies (Alzheimer's disease, memory complaints, healthy controls; n=283).

RESULTS: In the ground truth evaluation, 'hour' was consistently significant in in-sample likelihood ratio tests and 'day' was less commonly significant. PPPMs including one-hot encoded hour generally provided the highest out-of-sample likelihood. Using this PPPM variant, HMM properties were preserved, and prior findings were replicated.

DISCUSSION: Personalised PPPMs provide behavioural simulations that can be used for temporal imputation. These models capture average patterns and could be extended to include further temporal components.

CONCLUSION: Non-homogeneous PPPMs are a promising imputation tool that may contribute to improved utility of digital phenotyping by providing realistic temporal imputations.

RevDate: 2026-09-18

Wu Y, Park CM, Chen X, et al (2026)

Performance of Claims-based Alzheimer's Disease and Related Dementias Algorithms in Medicare Advantage and Fee-for-Service Populations.

The journals of gerontology. Series A, Biological sciences and medical sciences pii:8817532 [Epub ahead of print].

BACKGROUND: Evidence comparing the performance of claims-based dementia algorithms across Medicare Advantage (MA) and fee-for-service (FFS) populations remains limited. We evaluated the validity of two claims-based algorithms across MA and FFS populations.

METHODS: We used nationally representative, linked National Health and Aging Trends Study (NHATS)-Medicare data to identify community-dwelling participants with continuous enrollment in MA or FFS during Round 7 (2017; n = 5,018), Round 9 (2019; n = 4,018), and Round 11 (2021-2022; n = 3,086). Using NHATS probable dementia as reference standard, we validated the Bynum-Standard and Chronic Condition Warehouse (CCW) dementia algorithms across three time points.

RESULTS: Overall, both algorithms demonstrated comparable performance in MA and FFS populations, with high specificity (>97.9%) and negative predictive value [NPV] (>92.9%). The Bynum algorithm showed similar sensitivity between MA and FFS in Rounds 7 (30.2% vs. 29.1%) and 11 (25.6% vs. 23.9%), but lower sensitivity in MA for Round 9 (25.0% vs. 36.4%). Positive predictive value [PPV] was similar between MA (62.7%-70.6%) and FFS (62.1%-70.4%) across all rounds. The CCW algorithm demonstrated greater MA-FFS differences, with lower sensitivity in MA for Rounds 9 (30.8% vs. 46.9%) and 11 (35.0% vs. 49.3%) and similar sensitivity for Round 7 (40.4% vs. 42.2%). PPV varied across rounds in both MA and FFS [(Round 7: 76.3% vs. 71.2%) to (Round 11: 68.5% vs. 76.4%)]. Both algorithms identified participants with more severe dementia.

CONCLUSION: Claims-based dementia algorithms demonstrate broadly consistent performance in MA and FFS populations, with high specificity and moderate PPV but comparable or lower sensitivity in MA, informing case ascertainment across Medicare plan type.

RevDate: 2026-09-18

Anonymous (2026)

Cognitive resilience helps to predict Alzheimer's dementia.

RevDate: 2026-09-18

Grinberg LT, ME Murray (2026)

Atypical Alzheimer disease: a multi-axis framework toward defining heterogeneity.

Nature reviews. Neurology [Epub ahead of print].

Alzheimer disease (AD) is defined biologically by the presence of amyloid-β (Aβ) plaques and tau neurofibrillary tangles in the brain; however, these pathologies do not affect all brain regions equally. Typical AD usually presents with memory impairment, whereas atypical forms of AD, including posterior cortical atrophy, logopenic variant primary progressive aphasia, behavioural and dysexecutive AD, and corticobasal syndrome, manifest with prominent non-memory symptoms. Aβ biomarkers usually confirm that AD pathology is present, whereas regional tau, neurodegeneration and dysfunction more closely track the affected network and the presenting symptoms. The atypical variants, which tend to present at a younger age than typical AD, provide human models to study selective vulnerability of neurons and circuits. They also help us to test whether immune-glial, vascular, protein-handling, synaptic or genetic factors shape regional vulnerability and rate of progression beyond total Aβ and tau burden. In this Review, we integrate clinical, neuropathological, imaging, genetic and molecular evidence to describe atypical AD within the broader AD spectrum. We propose a practical multi-axis framework comprising clinical phenotype, AD biological context (AD pathology plus co-pathologies and molecular modifiers), network topography (regional patterns) and tempo (rate of clinical and biomarker progression). This framework could reduce diagnostic mismatches, make cohorts more comparable and support trials that include outcomes tailored to the affected brain networks.

RevDate: 2026-09-17
CmpDate: 2026-09-17

Mamangam S, Dhanabalan AK, Verma K, et al (2026)

Neuroprotective Effects of Two N-Benzylamides in Models of Oxidative Stress, Neurite Outgrowth and Neurodegeneration.

Oxidative medicine and cellular longevity, 2026(1):e3092494.

Oxidative stress is a central pathological mechanism in neurodegenerative diseases (NDDs), contributing to mitochondrial dysfunction, impaired proteostasis, and progressive neuronal loss. The sigma-1 receptor (S1R) is an endoplasmic reticulum (ER)-resident chaperone that coordinates cellular stress responses and has emerged as a promising therapeutic target for neuroprotection. In this study, we investigated the neuroprotective properties and mechanisms of the structurally related N-benzylamides, N-benzylcinnamide (NBCA) and N-benzylbenzamide (NBBA) using complementary in vitro, in vivo and in silico approaches. Neuroprotective activity was initially evaluated using glutamate-induced oxidative injury in HT22 hippocampal neurones and H2O2-induced oxidative stress in SH-SY5Y neuroblastoma cells. Both compounds significantly attenuated oxidative injury, although NBCA consistently showed greater efficacy and was therefore selected for detailed mechanistic investigation. NBCA reduced intracellular reactive oxygen species (ROS) production and lipid peroxidation while restoring endogenous antioxidant enzyme activities, mitochondrial membrane potential, ATP production, and cholinergic homeostasis. Immunofluorescence analysis showed that NBCA modulated nuclear factor erythroid 2-related factor 2 (NRF2) and S1R immunoreactivity after oxidative stress. NBCA also promoted neurite outgrowth in wild-type (WT) Neuro-2a cells, whereas these effects were absent in S1R knockout cells, supporting the involvement of S1R-associated signalling. Molecular docking predicted favourable interactions between NBCA and the stress-response proteins S1R, BiP and TMEM97, suggesting modulation of interconnected cellular stress-response networks. In Caenorhabditis elegans, NBCA improved resistance to oxidative stress, preserved learning and memory, delayed amyloid-β-induced paralysis, and reduced amyloid deposition in transgenic Alzheimer's disease (AD) models. Collectively, these findings demonstrate that NBCA exerts neuroprotective effects across multiple experimental models by preserving redox homeostasis, mitochondrial function, and neuronal integrity. The convergence of pharmacological, genetic, imaging, computational, and whole-organism evidence supports the involvement of S1R-associated signalling in NBCA's biological activity. Together, these findings demonstrate that modulation of S1R-associated cellular stress-response networks is a promising strategy for preserving neuronal function during oxidative stress and neurodegeneration and identify NBCA as a valuable lead compound for future mechanistic and therapeutic investigation.

RevDate: 2026-09-17

Abo Foul Y, S Shamay-Tsoory (2026)

Empathy on the edge: A neurocognitive model of empathy in aging and dementia.

Psychology and aging pii:2028-28255-001 [Epub ahead of print].

Empathy, the ability to understand others' perspectives (cognitive empathy) and share their emotions (emotional empathy), is critical for social functioning across the lifespan. Although empathy changes with age and is often disrupted in neurodegenerative disease, prior research has largely examined isolated components or focused narrowly on healthy aging or specific disorders. This systematic review addresses this gap by synthesizing behavioral and neuroimaging evidence on empathy across typical and pathological aging, from healthy older adulthood and mild cognitive impairment to Alzheimer's disease and behavioral variant frontotemporal dementia. We reviewed empirical studies published between January 2015 and October 2025 that examined cognitive and/or emotional empathy in healthy older adults or individuals with mild cognitive impairment, Alzheimer's disease, or behavioral variant frontotemporal dementia. We propose an integrative model suggesting that cognitive and emotional empathy follow distinct trajectories across aging. Based on the model, cognitive empathy gradually declines, likely reflecting changes in prefrontal regions and large-scale brain networks, with this process beginning in normal aging and continuing through mild cognitive impairment and dementia. In contrast, emotional empathy is relatively preserved in aging and early disease stages, although it becomes more context-dependent with clearer impairment in behavioral variant frontotemporal dementia. We conclude that understanding these trajectories has important implications for early diagnosis, caregiving, and designing targeted interventions to support empathic functioning in older adults and individuals with neurodegenerative diseases. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

RevDate: 2026-09-17

Liu Y, He Y, Wei Y, et al (2026)

A Molecularly Anchored Spatial Transcriptomic Framework for Precise CA1-Subiculum Parcellation and Region-Resolved Analysis in Alzheimer's Disease.

GigaScience pii:8812233 [Epub ahead of print].

BACKGROUND: The precise molecular delineation of the interface between the Subiculum (Sub) and cornu ammonis 1 (CA1) is a challenge in hippocampal research, as conventional cytoarchitectural boundaries are often ambiguous and limit reproducible regional annotation. Here, we developed a molecularly anchored spatial transcriptomic framework to define CA1-Sub regional identities using high-definition spatial transcriptomics (Stereo-seq) and single-nucleus RNA sequencing (snRNA-seq) references.

FINDINGS: Using a human hippocampal Stereo-seq dataset from 12 donors, we established a data-driven parcellation framework that defines reproducible molecular features distinguishing CA1 and Sub while capturing the transition between these regions. FN1 was identified as a Sub-enriched marker in a subset of EX_Sub and, together with ETV1 and additional regional markers, enabled molecular assignment of CA1 and Sub identities across datasets. The Sub association of FN1 and ETV1 was further supported by human 10X Genomics spatial transcriptomics, mouse in situ hybridization data, and a mouse spatial transcriptomic dataset. Applying this framework to Alzheimer's disease (AD) tissues revealed region-specific transcriptional alterations across CA1 and Sub, including enrichment of mitochondrial energy metabolism-related transcripts in the Sub, suggesting exploratory transcriptional associations of altered metabolic function.

CONCLUSIONS: This study provides a molecularly anchored framework for human CA1-Sub parcellation that complements conventional annotation. By defining regional molecular states while preserving the biological continuum across CA1-Sub interface, this approach enables more consistent regional analysis of human hippocampus tissue across donors, datasets, and disease conditions.

RevDate: 2026-09-17
CmpDate: 2026-09-17

Santos DH, AMP da Silva (2026)

Amyloid-beta-targeting monoclonal antibodies in early Alzheimer's disease: a cochrane review summary and appraisal for the neurological community.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 47(10):.

BACKGROUND: Seven amyloid-beta-targeting monoclonal antibodies have been trialled in early Alzheimer's disease. They differ in epitope and in how much plaque they clear; only two have traditional approval. A 2026 Cochrane Review pooled all seven as one class. We ask what that average tells us about any one drug.

METHODS: We summarise the review in mild cognitive impairment or mild dementia due to Alzheimer's disease and report its estimates and certainty ratings unchanged. Our appraisal sits in a separate section and draws on the pivotal trials and regulatory assessments.

RESULTS: Seventeen trials (20,342 participants) were included. At 18 months the pooled standardised mean difference was -0.11 (95 % confidence interval -0.16 to -0.06) for cognition and -0.12 (-0.24 to 0.00) for dementia severity; three functional scales favoured treatment (0.09 to 0.23). Amyloid-related imaging abnormalities with oedema affected 119 versus 12 per 1,000 (risk ratio 10.02, 7.49 to 13.41). Four of the seven antibodies cleared no plaque or cleared it incompletely, so the pooled result cannot test whether clearance produces benefit. In the two approved agents dementia severity differed by 0.45 and 0.67 points, larger than the class average but below thresholds of clinical importance.

CONCLUSIONS: The class average is not an estimate for any single agent. These antibodies clear amyloid and produce small differences on trial scales at 18 months, against a tenfold rise in amyloid-related oedema. Counselling should rest on agent-specific figures and a biomarker-confirmed diagnosis, and should weigh APOE ε4 genotype and antithrombotic use before the first infusion.

RevDate: 2026-09-17
CmpDate: 2026-09-17

Jantaratnotai N, JG McLarnon (2026)

The Roles of Transcription Factor Ets-1 in Neurological Disorders.

Molecular neurobiology, 63(1):.

Ets-1 is a member of the Ets family of transcription factors that regulates diverse biological processes including cellular proliferation, development, and immune response. At present, few studies have examined the actions of Ets-1 in brain neurological disorders. One exception is brain tumors where evidence suggests that elevated levels of Ets-1 could induce abnormalities in angiogenic activity in promoting tumor growth. In this review we summarize evidence for the involvement of Ets-1 in brain neurological disorders including brain tumors, stroke, Alzheimer's disease, Parkinson's disease, multiple sclerosis, neuropathic pain, and depression. Overall findings suggest that Ets-1 is a critical switch in balancing vascular remodeling and neuroinflammation across various neuropathologies; however, whether Ets-1 exerts detrimental or beneficial effects is context- and time-dependent. At present, published work has largely concerned ancillary, rather than primary, roles of Ets-1 in brain with little focus on disorders other than brain tumors. Resolving these divergent and time-dependent roles of Ets-1 will advance its utility as both a diagnostic biomarker and a viable therapeutic target in neurological diseases.

RevDate: 2026-09-17
CmpDate: 2026-09-17

Zhang T, Chen X, Wang Y, et al (2026)

A Lipoylation-PDH-TCA Transcriptional Deficit in the Alzheimer's Disease Cortex - Donor-level Multi-cohort Evidence with Neuronal-composition, Disease-specificity and Matched-null Controls.

Journal of molecular neuroscience : MN, 76(4):.

Cuproptosis, a copper-dependent form of regulated cell death acting through lipoylated tricarboxylic acid (TCA) cycle proteins, has been proposed as a molecular link between type 2 diabetes and Alzheimer's disease. We asked whether cuproptosis effector genes are dysregulated in a cell-type-specific manner in the human Alzheimer's disease cortex, and whether any such signal survives controls for neuronal composition and disease specificity. Single-nucleus data from 21 prefrontal cortex donors were aggregated to donor-level pseudobulk within each cell type. Four independent bulk cohorts, each contributing one observation per donor, entered a random-effects meta-analysis. Adjustment for estimated neuronal content, competitive and expression-matched null gene-set testing, and comparison against Huntington's disease and vascular dementia were applied as controls. The donor was the unit of replication throughout. No gene-cell-type pair survived correction across the 75 prespecified tests; PDHA1 in inhibitory neurons showed the largest nominal reduction (- 0.418, q = 0.829). In donor-level meta-analysis PDHA1 was lower in Alzheimer's disease in all four cohorts (- 0.457, 95% CI - 0.712 to - 0.201, I[2 ]= 0%) but did not survive correction (q = 0.086). A post hoc lipoylation/pyruvate dehydrogenase/TCA module did reach the adjusted threshold (- 0.245, 95% CI - 0.363 to - 0.127, q = 0.035), whereas the copper modules pooled to zero and moved in opposite directions across cohorts. Comparable reductions occurred in Huntington's disease and vascular dementia, and the disease-control contrasts were not significant. These transcriptional associations do not demonstrate cuproptosis, are not specific to Alzheimer's disease, and are hypothesis-generating only.

RevDate: 2026-09-17
CmpDate: 2026-09-17

Li X, Liu X, Song X, et al (2026)

Bioinformatics-Driven Discovery of Aβ-Targeted Therapeutics and Diagnostic Biomarkers for Alzheimer's Disease.

BioMed research international, 2026(1):e8975137.

The deposition of amyloid-β (Aβ) plaque is widely recognized as one of the core pathological events of Alzheimer's disease (AD). This study focused on uncovering potential diagnostic biomarkers and small-molecule candidates potentially modulating Aβ-associated pathways in AD. Weighted gene coexpression network analysis (WGCNA) and machine learning identified the hub gene. Single-nucleus RNA sequencing (snRNA-seq) identified high-expression cell clusters. We identified potential Aβ-binding small-molecule candidates and calculated their binding affinities using molecular docking techniques. Based on molecular docking, we further evaluated the binding stability and conformational dynamics of the protein-ligand complex through molecular dynamics (MD) simulations. NFKBIA was identified as a hub diagnostic gene. Three small molecules, resveratrol, curcumin, and apigenin, demonstrated strong binding affinities for NFKBIA. These findings clarify the priority candidate gene and feasible strategic directions, which are expected to be translated into practical pathways for precision diagnosis and treatment of AD.

RevDate: 2026-09-17
CmpDate: 2026-09-17

Aydın AC (2026)

Exosomes in Alzheimer's Disease: From Pathological Mechanisms to Biomarker Potential and Therapeutic Applications.

Molecular neurobiology, 63(1):.

Exosomes are small extracellular vesicles that mediate communication between cells by carrying proteins, lipids, nucleic acids, and other biologically active molecules. In Alzheimer's disease (AD), their role appears to be complex and context-dependent. Evidence suggests that exosomes may contribute to disease progression by supporting the intercellular spread of amyloid-β and tau pathology. At the same time, they are increasingly being investigated as blood-based biomarkers and as potential therapeutic delivery systems. This review summarizes current evidence on the involvement of exosomes in AD biology. Particular attention is given to their role in amyloid-β and tau propagation, microglia-driven neuroinflammation, and the Pellino-1 (Peli1)-related communication between microglia and astrocytes. The review also discusses the diagnostic value of neuron- and astrocyte-derived exosomes as minimally invasive biomarkers. In addition, the therapeutic potential of mesenchymal stem cell-derived exosomes is evaluated, especially in relation to amyloid clearance, neuroinflammation, synaptic repair, and blood-brain barrier crossing. Although preclinical and early clinical findings are encouraging, several barriers still limit clinical translation. These include the lack of standardized isolation methods, cargo heterogeneity, large-scale production difficulties, and insufficient long-term safety and efficacy data. Overall, exosome-based strategies represent a promising but still developing field in AD research, with potential relevance for early diagnosis, disease monitoring, and future therapeutic applications.

RevDate: 2026-09-17

Pellikka E, Vauhkonen PK, P Oura (2026)

Neuropathological diagnoses and age-related differences in Finnish medico-legal autopsies of individuals aged 65 years and older.

Forensic science, medicine, and pathology [Epub ahead of print].

As populations worldwide continue to grow older, an increase in cases involving aged individuals is also to be expected in medico-legal autopsies. The aim of this study was to report the neuropathological diagnoses of individuals aged ≥ 65 years, and to compare the findings across three age groups: youngest-olds (65-74 years of age), middle-olds (75-84) and oldest-olds (≥ 85). The sample comprised all Finnish medico-legal autopsies of individuals aged ≥ 65 years whose autopsy included a full neuropathological examination performed by a neuropathologist over the period 2016-2022 (n = 629). Neuropathological diagnoses were obtained from the neuropathologists' reports, and background characteristics were collected from medico-legal cause-of-death investigation documents. Of all cases, 97.1% received at least one neuropathological diagnosis. The prevalences of many neurodegenerative diseases increased with age; Alzheimer's disease neuropathological change (30.5%) and cerebral amyloid angiopathy (14.0%) were the most common ones. However, some rarer neurodegenerative diseases were more frequent among youngest-olds. While the prevalence of acute infarcts remained relatively consistent across the age groups (12.4-14.5%), old infarcts and subarachnoid haemorrhages were most common among oldest-olds (22.1% and 16.6%, respectively). The age-related increase in subarachnoid haemorrhage diagnoses appeared to be primarily driven by the male sex. The prevalences of acute and old traumatic brain injuries were rather low (5.7-6.2% and 5.1%, respectively) and remained relatively stable across the age groups. In conclusion, our data suggest that neuropathological diagnoses are highly prevalent among aged individuals undergoing medico-legal autopsy, and many diagnoses become more frequent towards oldest-olds.

RevDate: 2026-09-17

Misra SR, R Das (2026)

Beyond Oral Hygiene: Medication Burden, Oral Function, and Dysphagia in Alzheimer's Disease.

Special care in dentistry : official publication of the American Association of Hospital Dentists, the Academy of Dentistry for the Handicapped, and the American Society for Geriatric Dentistry, 46(5):e70255.

RevDate: 2026-09-17

Tamiz AP, Baran SW, Hartung T, et al (2026)

New approach methodologies in neurotherapeutics development.

Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 23(6):e01056 pii:S1878-7479(26)00226-6 [Epub ahead of print].

New Approach Methodologies (NAMs) offer substantial opportunities to transform neurotherapeutics discovery, optimization, and development, reducing the timeline to translate central nervous system (CNS) innovations to patients. Strategically deployed, NAMs enhance the predictive value of preclinical studies for human outcomes while reducing reliance on animal models. Current scientific community interest focuses particularly on human-based and -derived systems, in silico and AI-driven models, and advanced microphysiological platforms, reflecting a shift toward human-centric drug development paradigms. Despite this momentum, significant challenges remain, including NAM reproducibility and validation, the establishment of standardized performance criteria, data sharing, and the evolution of regulatory frameworks needed to enable consistent adoption across the neurotherapeutics continuum. Nevertheless, there is a rich history of developing and adopting methodologies, particularly for improving the prediction of neurotherapeutic safety profiles while reducing animal use, and for advancing understanding of drug delivery across the blood-brain barrier, and the assessment of adverse neurological effects. These advances have begun to influence regulatory decision-making and are increasingly reflected in guidance and review practices. Furthermore, NAMs are showing concrete impact in neurological disorders, including Epilepsy, Amyotrophic lateral sclerosis (ALS), Alzheimer's disease, and Parkinson's disease, where human-relevant models and computational approaches support more precise characterization of disease mechanisms and therapeutic responses. In this paper, we examine the current and emerging roles of NAMs in neurotherapeutics development from government, academia, and industry perspectives, highlight key opportunities and limitations, and discuss the scientific, technical, and regulatory steps required to fully realize their potential in accelerating safe and effective CNS therapies.

RevDate: 2026-09-17

Nam MH, Park HJ, Lee HY, et al (2026)

40 Hz vibrotactile stimulation ameliorates amyloid pathology and cognitive deficits in 5xFAD mice and is associated with alterations in Piezo1, ERK, and GSK-3β/p65 signaling.

Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 23(6):e01077 pii:S1878-7479(26)00247-3 [Epub ahead of print].

40 Hz vibrotactile stimulation (VTS) is an emerging non-invasive therapy for Alzheimer's disease (AD), yet its specific mechanisms regarding amyloid-beta (Aβ) metabolism remain unclear. Six-month-old 5xFAD mice received daily 40 Hz VTS for four weeks. We assessed cognitive function, Aβ pathology, and underlying molecular pathways. VTS improved spatial learning and recognition memory, whereas no significant improvement was observed in short-term spatial working memory. VTS reduced hippocampal Aβ plaque burden and cortical soluble Aβ40 and Aβ42 levels, accompanied by decreased expression of APP, BACE1, and PS1 and increased expression of ADAM10 and IDE. It further attenuated neuroinflammation, oxidative stress and produced changes in cholinergic and synaptic plasticity-associated proteins. VTS increased hippocampal Piezo1 expression and ERK phosphorylation, increased inhibitory phosphorylation of GSK-3β at Ser9, decreased p65 phosphorylation, and reduced tau phosphorylation. 40 Hz VTS ameliorates several cognitive and neuropathological features of AD in 5xFAD mice. These improvements are associated with the modulation of Piezo1, ERK, and GSK-3β/p65 signaling pathways, highlighting its potential as a promising non-invasive AD therapeutic strategy.

RevDate: 2026-09-17

Orzeł U, Wójcik E, Filipek S, et al (2026)

ACE2 dysregulation and lipid metabolism: Mechanistic interplay between COVID-19 and neurodegeneration.

Molecular aspects of medicine, 112:101519 pii:S0098-2997(26)00075-0 [Epub ahead of print].

Angiotensin-converting enzyme 2 (ACE2) is the primary cellular receptor of SARS-CoV-2. It is a key regulator of the renin-angiotensin system (RAS) and modulates blood pressure and inflammatory pathways. ACE2 converts pro-inflammatory angiotensin II into the vasoprotective peptide, angiotensin (1-7). This is strongly influenced by the lipid composition of the plasma membrane. Cholesterol-rich lipid rafts play an important role in determining receptor localisation and viral accessibility. Dyslipidaemia, which is common in obesity, diabetes, and metabolic syndrome, has been associated with an increased susceptibility to severe COVID-19 and may amplify systemic inflammation. Aberrant lipid metabolism also contributes to neurodegenerative disorders, including Alzheimer's and Parkinson's diseases, which drive neuroinflammation, synaptic dysfunction, and blood-brain barrier impairment. Notably, similar disturbances and systemic inflammation are increasingly recognised in patients with Long COVID, suggesting overlapping mechanisms that may exacerbate or accelerate neurodegenerative processes. This review explores the interplay between ACE2 regulation, lipid metabolism, and systemic inflammation in COVID-19, with a particular focus on their implications for neurological health. Uniquely, we highlighted the intersection of ACE2 and lipid-related alterations in patients with Long COVID and their potential contribution to the progression of neurodegenerative diseases. In addition, we reviewed therapeutic strategies targeting ACE2, including recombinant soluble ACE2, ACE2-based nanotherapeutics, and lipid-focused interventions, aimed at mitigating acute infection, systemic inflammation, and persistent neurological sequelae. Understanding these mechanisms is essential to prevent long-term neurological consequences of the COVID-19 pandemic.

RevDate: 2026-09-17

Xi L, Wan J, Hua Y, et al (2026)

Effects of ketogenic diet on cognitive impairment in older adults: a systematic review and meta-analysis.

Archives of gerontology and geriatrics, 151:106409 pii:S0167-4943(26)00278-5 [Epub ahead of print].

BACKGROUND: Cognitive impairment in older adults is associated with substantial functional decline and care burden. The ketogenic diet (KD) may improve cognition, but evidence in older adults with cognitive impairment remains inconsistent. This study evaluated the effects of KD, including related ketogenic dietary strategies, on cognitive outcomes and metabolic markers.

METHODS: PubMed, Web of Science, Embase, the Cochrane Library, CNKI, Wanfang, and VIP were searched from inception to July 2025 for randomized controlled trials of KD or related ketogenic dietary strategies in older adults with cognitive impairment. Two reviewers independently screened studies, extracted data, and assessed risk of bias. Meta-analysis was performed using Review Manager 5.4.

RESULTS: Twelve randomized controlled trials involving 707 participants were included. Compared with control interventions, KD-related dietary strategies improved overall cognitive function [SMD = 0.34, 95% CI (0.16 to 0.52), p < 0.01]. Domain-specific analyses showed significant improvements in memory [SMD = 0.53, 95% CI (0.10 to 0.96), p = 0.01] and language function [SMD = 0.43, 95% CI (0.16 to 0.70), p = 0.002], whereas no significant effects were observed for attention or executive function. KD-related strategies increased acetoacetate and β-hydroxybutyrate concentrations, indicating effective ketone production. Regarding metabolic safety, KD-related interventions increased total cholesterol and LDL-C, while triglycerides and HDL-C remained unchanged.

CONCLUSIONS: KD and related ketogenic dietary strategies may improve cognitive performance and enhance ketone body production in older adults with mild cognitive impairment or Alzheimer's disease. The potential metabolic implications associated with lipid changes should be considered alongside cognitive benefits.

RevDate: 2026-09-17

Chen F (2026)

Bioinformatics-driven discovery and cross-cohort validation of a two-gene signature (RPH3A and HIGD1B) associated with Alzheimer's disease.

Computational biology and chemistry, 126(Pt 1):109417 pii:S1476-9271(26)00544-X [Epub ahead of print].

BACKGROUND: Transcriptomic biomarker discovery for Alzheimer's disease (AD) has yielded numerous candidate signatures, yet many fail independent external validations due to overfitting or cohort-specific confounders. We aimed to identify a minimal reproducible gene signature and evaluate its generalizability under locked-model validation.

METHODS: Three GEO datasets were analyzed: GSE118553 (training), GSE122063 (internal validation), and GSE5281 (external validation). Differentially expressed genes were identified in the training set, followed by LASSO and Random Forest feature selection, and intersecting genes were filtered for concordant fold-change direction and P < 0.05 across cohorts. An elastic net model was evaluated using locked training parameters by ROC, calibration, and decision curve analyses,with exploratory threshold optimization performed to assess model performance.

RESULTS: Four genes overlapped between machine-learning methods, but only RPH3A and HIGD1B passed the consistency filter. The locked model achieved AUCs of 0.818 and 0.974 in the internal and external cohorts, respectively. Internal validation showed calibration drift (intercept -2.697, slope 0.705), resulting in 0.000 specificity at the locked threshold. Cohort-specific threshold optimization increased specificity to 1.000 with 0.607 sensitivity. External validation showed good calibration (intercept 1.065, slope 1.203) and favorable decision-curve performance.

CONCLUSION: RPH3A and HIGD1B constitute a reproducible AD-associated molecular signature with robust discrimination across independent postmortem brain cohorts, regions, and platforms. As all datasets were postmortem brain tissue, these findings reflect disease-associated molecular alterations. Calibration, confusion matrix, and decision curve analyses further support model performance and translational relevance.

RevDate: 2026-09-17

Shi H (2026)

Word-Form and Lemma Dependency Networks of Connected Speech in Probable Alzheimer's Disease: Morphological Impacts on Syntactic Topological Metrics.

Seminars in speech and language [Epub ahead of print].

BACKGROUND: Alzheimer's disease causes progressive cognitive and linguistic deterioration. Few studies investigate how morphological inflections shape syntactic network topology by comparing word-form and lemma networks.

METHOD: Spontaneous language samples were collected by the Cookie Theft picture description task from 68 individuals with probable Alzheimer's disease (PA) and 68 healthy controls.

RESULTS: In both groups, lemma networks had fewer nodes/edges, higher average degree, density, and clustering coefficient, and shorter average path length than word-form networks. All networks showed small-world properties; only healthy networks obeyed scale-free rules, whereas patient networks deviated slightly. Controls had more nodes and edges, while patients demonstrated higher density and clustering coefficients. Intergroup average degree differences were limited to lemma networks (higher in controls). Average path length and diameter were similar across groups. Significant topological differences were accompanied by modest effect sizes (r = 0.21-0.29), likely arising from variability in spontaneous speech. Function words and basic verbs formed core nodes in both network types.

CONCLUSION: This study identifies quantitative syntactic network biomarkers for linguistic impairments in early PA. Such topological measures may combine with clinical indicators for risk prediction and inform targeted early cognitive interventions.

RevDate: 2026-09-17

Lee JH, Jeong JH, Mun BR, et al (2026)

The phenyl carbamates JBPOS0101 and JBPOS0607 attenuate rotenone-induced dopaminergic neuronal death in mice.

Brain research pii:S0006-8993(26)00417-8 [Epub ahead of print].

Parkinson's disease (PD) is a progressive neurodegenerative disease that causes motor abnormalities such as tremors, rigidity, and posture imbalance. The loss of dopaminergic neurons and Lewy bodies containing the aggregation of α-synuclein are the main neuropathological features of PD. Rotenone, a widely used pesticide and mitochondrial complex I inhibitor, induces dopaminergic neuronal death and is used to model PD in rodents. We previously reported that JBPOS0101, a phenyl carbamate compound, attenuates amyloid β accumulation and memory impairment in the 5xFAD mouse model of Alzheimer's disease. In this study, we investigated the effect of JBPOS0101 and its derivative, JBPOS0607, in rotenone-administered mice as a PD model. Both drugs significantly attenuated the loss of dopaminergic neurons induced by rotenone in mice. Furthermore, the rotenone-induced accumulation of phosphorylated α-synuclein in dopaminergic neurons was also attenuated by the drugs. Additionally, both drugs alleviated rotenone-induced activation of astrocytes and microglia compared to the group treated with rotenone alone. These results indicate that the phenyl carbamates JBPOS0101 and JBPOS0607 attenuate rotenone-induced dopaminergic neurodegeneration in mice. Both compounds preserved nigral dopaminergic neurons and attenuated alpha-synuclein phosphorylation, glial activation, and pro-inflammatory cytokine levels in the striatum, and JBPOS0607 was also effective in restoring the anti-inflammatory cytokine IL-10, striatal dopamine levels, and motor performance, supporting the therapeutic potential of phenyl carbamates in Parkinson's disease.

RevDate: 2026-09-17

Green J, Liu Z, Timis S, et al (2026)

Deletion of NLRP3 gene blocks traumatic brain injury induced abnormal immune response in mice with a genetic background for AD.

Experimental neurology pii:S0014-4886(26)00397-3 [Epub ahead of print].

Traumatic brain injury (TBI) is a significant risk factor for the development of Alzheimer's disease (AD) and related dementia. In both TBI and AD, inflammation plays a pivotal role. It is known that the NLRP3 inflammasome plays an important role in AD pathogenesis while TBI triggers activation of the NLRP3 inflammasome in the brain. To evaluate the importance of the NLRP3 inflammasome in mediating the TBI-induced immune response in animals with a genetic background for AD, we have examined immune profiles in the brain using a novel transgenic mouse line at 3xTg background with the NLRP3 gene deleted. Briefly, a group of 4 months old male and female 3xTg and 3xTg/NLRP3[-/-] mice received a moderate lateral fluid percussive injury or sham. Immune cell phenotypes and cytokine gene expression were assessed at 3- and 7-days post injury (dpi). We found that NLRP3 gene deletion counteracted injury-induced alteration of the immune response in 3xTg mice with a significant sex-related difference. Specifically, TBI induced a significant brain infiltration of neutrophils, macrophages and γδ T-cells in 3xTg mice in both sexes at 3dpi, and NLRP3 gene deletion blocked this injury effect only in males not in females. NLRP3 gene deletion also blocked injury-enhanced IL-1β, TNF-α gene expression in male mice, but not in female mice. In conclusion, our study has confirmed that TBI significantly alters the immune response in 3xTg mice and NLRP3 inflammasome is important in mediating these TBI-induced changes with significant sex-related differences.

RevDate: 2026-09-17

Guo F, Li T, XB He (2026)

Dynamic contributions of astrocytes in Alzheimer's disease.

Experimental neurology pii:S0014-4886(26)00399-7 [Epub ahead of print].

In Alzheimer's disease, pathological stimuli reshape astrocyte functions, which in turn act on neurons, making astrocytes critical modulators of disease progression. A comprehensive understanding of how astrocytes dynamically shift from physiology to pathology across multiple functional domains remains to be established. This review synthesizes recent findings across four key domains: proteostasis, gliotransmission/synapse regulation, blood-brain barrier integrity and metabolism, and microglial crosstalk. For each domain, we compare homeostatic and pathological functions, analyze how supportive roles turn detrimental, and discuss effects on neuronal fate. We also examine signaling pathways that govern astrocyte reactivity and the potential of astrocyte-derived biomarkers. By tracing these dynamic transitions, we aim to refine Alzheimer's disease mechanisms and identify state-targeted therapeutic opportunities.

RevDate: 2026-09-17

Peck BD, O'Hare NR, Ferris CF, et al (2026)

Fragment morphometry analysis and same-color-channel separation enable reproducible quantification across BBB models.

Methods (San Diego, Calif.) pii:S1046-2023(26)00201-X [Epub ahead of print].

Quantifying blood-brain barrier (BBB) integrity from fluorescence microscopy remains limited by subjective scoring and categorical classification methods that lack reproducibility. For reproducible BBB phenotyping, we present two semi-automated image-analysis pipelines that replace manual scoring with quantitative, continuous-variable measurements. Our in vitro pipeline, implemented in Python, quantifies the connectivity of tight junction structures by measuring discrete ZO-1 fragment objects within manually traced junction regions. It outputs continuous metrics including average fragment area, total junctional area, and a junctional fragmentation ratio that captures degree of ZO‑1 continuity. In human brain microvascular endothelial cells subjected to glycocalyx component knockdown, the pipeline detected significantly reduced fragment area (37% decrease for both CD44 and syndecan-1 (SDC1) knockdown, p = 0.0148 and 0.0084) and junctional fragmentation ratio (p = 0.0061 and 0.0137). Our in vivo pipeline integrates ilastik-based pixel classification with FIJI macro automation to quantify vascular marker colocalization and to separate vessel signal from microglial contamination within a single fluorescence channel, eliminating the need for dedicated counterstains. Applied across four mouse cohorts [young, aged, Alzheimer's, traumatic brain injury (TBI)] and three brain regions [prefrontal cortex (PFC), hippocampus, midbrain], the pipeline detected concurrent ZO-1 loss and ICAM-1 elevation in the PFC and hippocampus of aged and Alzheimer's cohorts, which were statistically indistinguishable, with eNOS nearly doubling in the Alzheimer's PFC (p = 0.0013). TBI mice showed persistent ZO-1 loss with transient ICAM-1 and eNOS changes. Both deterministic pipelines are available on GitHub and designed for adoption beyond the specific markers and systems analyzed here.

RevDate: 2026-09-17

Thomas ML (2026)

A caution in interpreting reliable cognitive decline in older adults at risk for Alzheimer's disease.

International psychogeriatrics pii:S1041-6102(26)00090-6 [Epub ahead of print].

Repeated cognitive screening of functionally independent older adults may help identify decline before performance crosses conventional thresholds for cognitive impairment, but interpreting longitudinal change requires distinguishing true change from measurement error. The Reliable Change Index (RCI) is commonly used for this purpose. Conventional RCI methods based on classical test theory (CTT), however, typically assume that measurement error is constant across examinees, an assumption that may be particularly problematic for screening instruments such as the Mini-Mental State Examination (MMSE), which often show pronounced ceiling effects. We compared conventional CTT- and difference-score-based item response theory (IRT) RCIs in 1136 cognitively unimpaired older adults with elevated brain amyloid from the A4 clinical trial. The two approaches were strongly correlated overall (r = .83). However, among the 92 participants identified as showing reliable decline by at least one method, 44 (47.8%) received discordant classifications. Thus, substantial overall correspondence between CTT- and IRT-based RCIs can co-occur with meaningful disagreement about which individuals have experienced reliable cognitive decline. These findings highlight the importance of accounting for variation in measurement precision when interpreting longitudinal change on cognitive screening measures in older adults. They also provide an important cautionary note for clinicians who rely on repeated cognitive screening, as detection of reliable decline may be particularly challenging among individuals with relatively preserved cognition who may be in the earliest stages of cognitive deterioration.

RevDate: 2026-09-17

Nanna MG, Cohen AB, Erickson AC, et al (2026)

Days Alive at Home After Emergency Department STEMI Visits Among Medicare Beneficiaries With Dementia.

Journal of the American Geriatrics Society [Epub ahead of print].

BACKGROUND: As the population of older adults with Alzheimer's disease and related dementias (ADRD) increases, a growing number are presenting with acute cardiovascular events, including ST-elevation myocardial infarction (STEMI). Patient-centered outcomes following treatment for STEMI in this population are not well understood.

METHODS: This retrospective cohort study used Medicare fee-for-service claims from a 100% national sample to identify beneficiaries aged 65 years or older who presented to the emergency department (ED) with STEMI between 2017 and 2022 and underwent cardiac catheterization. Patients were stratified by ADRD status and nursing home admission source. The primary outcome was adjusted days alive at home in the year following the index ED visit. Secondary outcomes included 1-year survival, percent of alive days spent at home, and long-term nursing home care use (≥ 100 days). Multivariable linear regression models controlled for age, sex, and comorbidities.

RESULTS: Of 117,318 patients, 7348 (6.3%) had ADRD and 2617 (2.2%) were admitted from a nursing home. Among community-dwelling patients, those with ADRD had moderately lower adjusted days at home than those without ADRD (225.1 vs. 299.4; adjusted difference -37.8 days; 95% CI, -41.1 to -34.5), but more than half spent over 300 days at home. Among patients admitted from a nursing home, ADRD was associated with markedly worse outcomes (adjusted difference -71.9 days; 95% CI, -84.0 to -59.8), and 1-year survival was 42.4%.

CONCLUSION: Many community-dwelling older adults with ADRD experienced meaningful survival and time at home following cardiac catheterization for STEMI. Dementia status alone should not deter appropriate STEMI care. Treatment decisions should be individualized based on cognitive status, admission source, and patient goals.

RevDate: 2026-09-17

Alcaide-Prados MDC, Gómez-Moreno G, Leizaola-Cardesa IO, et al (2026)

Periodontal disease and Alzheimer's disease: A systematic review.

Journal of Alzheimer's disease : JAD [Epub ahead of print].

BackgroundPeriodontitis is a host-mediated inflammatory disease of microbial origin that results in the loss of periodontal attachment. Its effects are not limited to the oral cavity, as association with systemic diseases, including Alzheimer's disease (AD), has been widely reported.ObjectiveTo evaluate the evidence regarding the potential relationship between periodontitis and AD through a systematic review.MethodsA bibliographic search was conducted in PubMed, Scopus, and WOS. Studies published within the last five years evaluating the biological association between both diseases were selected. The methodological quality and risk of bias of the included studies were assessed using the NOS and ROBINS-I tool, according to the study design.ResultsEleven studies were included. Eight studies analyzed biological samples obtained from brain tissue, blood/serum, saliva, gingival crevicular fluid, and cerebrospinal fluid. Patients with AD exhibited higher levels of periodontopathogenic bacteria, such as Porphyromonas gingivalis, Fusobacterium nucleatum, and Prevotella intermedia, and an association between bacterial load and systemic inflammatory markers. Although most studies reported an association between periodontitis and AD, the findings were not consistent across studies, as some failed to identify statistically significant differences. Periodontal treatment was associated with a reduction in the AD Score, a neuroimaging surrogate marker of preclinical AD, whereas no effect was observed on brain age gap.ConclusionsEvidence suggests a possible association between periodontitis and AD through inflammatory and neurodegenerative mechanisms. Methodological limitations and study heterogeneity preclude establishing causality, underscoring the need for longitudinal studies and alternative methodological approaches.

RevDate: 2026-09-17

Wiseman FK (2026)

New mouse models for Down syndrome Alzheimer's disease.

Journal of Alzheimer's disease : JAD [Epub ahead of print].

In this issue Ishihara and colleagues report the development and characterization of new mouse models for Down syndrome Alzheimer's disease, the most commonly occurring genetic cause of dementia worldwide. These new models add to the growing portfolio of in vivo models of Down syndrome. In particular, the new Ts1Kei-APPswe/PS1[dE9] model may be highly useful for the study and identification of novel treatment targets for late onset myoclonic epilepsy of Down syndrome. This seizure disorder is a common comorbidity of Down syndrome Alzheimer's disease affecting around half of all people with the condition and is associated with particularly adverse clinical outcomes.

RevDate: 2026-09-17

Zou C, Chung AS, Tadigiri M, et al (2026)

Mobile application-based interventions for subjective memory decline and mild cognitive impairment: A systematic review.

Journal of Alzheimer's disease : JAD [Epub ahead of print].

BackgroundSubjective cognitive decline (SCD) and mild cognitive impairment (MCI) are early clinical markers along the continuum from normal aging to dementia. Both conditions are associated with an elevated risk of progression to Alzheimer's disease and related dementias. With SCD affecting up to 25% and MCI up to 25.2% of older adults, there is growing interest in non-pharmacological, multidomain interventions to address modifiable risk factors, reduce progression, and enhance quality of life. Mobile application-based interventions offer a promising avenue for older populations due to their convenience, reduced need for travel, and personalized engagement.ObjectiveThis systematic review aimed to evaluate the effectiveness of mobile application-based interventions on cognitive performance in individuals with SCD and/or MCI.MethodsA systematic review of randomized controlled trials was conducted to identify mobile application-based interventions targeting SCD and MCI from 2010 to 2025. We conducted a comprehensive search in PubMed, Web of Science, and Scopus databases following PRISMA guidelines.ResultsA total of 3140 abstracts were screened, of which 19 (0.6%) met the inclusion criteria. Seven studies focused on SCD, while the majority targeted patients with MCI. All but one study reported improvements in at least one cognitive outcome following the intervention.ConclusionsMobile application-based interventions show promising benefits for individuals with SCD and MCI, with most studies reporting improvements in cognitive outcomes, particularly in memory. However, further research with larger samples and more extended follow-up periods is needed to confirm these findings and optimize intervention strategies.

RevDate: 2026-09-17

Zhang H, Liang B, Chang Y, et al (2026)

Exosomal miR-223-3p, associated with NLRP3-related neuroinflammation, as a potential biomarker for mild cognitive impairment in patients with type 2 diabetes mellitus.

Journal of Alzheimer's disease : JAD [Epub ahead of print].

BackgroundNeuroinflammation has been implicated in diabetic cognitive dysfunction, with the NLRP3 playing an important role.ObjectiveThis study aimed to elucidate the regulatory role of miR-223-3p in NLRP3 associated neuroinflammation and its potential as a biomarker for mild cognitive impairment (MCI) in type 2 diabetes mellitus (T2DM).MethodsDiabetic mouse models were generated by 24 weeks of high-fat diet feeding, with cognitive impairment verified by behavioral assessments. Hippocampal tissues were analyzed by microRNA sequencing and validated for miR-223-3p expression. NLRP3-mediated neuroinflammation was examined in vivo, while in vitro assays using BV2 cells assessed mechanistic pathways. BV2 cells with miR-223-3p knockdown and overexpression to evaluate its effects on NLRP3. Clinically, plasma exosomal miR-223-3p was quantified in T2DM patients with and without MCI and correlated with neuropsychological test scores.ResultsDiabetic mice exhibited cognitive decline, reduced hippocampal miR-223-3p, microglial activation, and elevated NLRP3 and pro-inflammatory cytokines. miR-223-3p knockdown and overexpression induced and attenuated neuroinflammation, respectively. Luciferase reporter gene assays confirmed the direct regulatory of miR-223-3p on NLRP3. Clinically, exosomal miR-223-3p levels were significantly lower in T2DM patients with MCI (n = 98) compared with cognitive normal patients (n = 147), correlating with global cognition, and immediate memory performance. ROC analysis demonstrated that, when using the threshold of 0.7565, miR-223-3p achieved a diagnostic specificity of 71.4% and a sensitivity of 68.7% for identifying MCI.ConclusionsmiR-223-3p exerts neuroprotective effects by suppressing NLRP3-mediated neuroinflammation. Its downregulation contributes to cognitive impairment in diabetes, and circulating exosomal miR-223-3p represents a potential biomarker for identifying MCI in T2DM.

RevDate: 2026-09-17

Wang J, Pan P, Zhang J, et al (2026)

Several methodological issues in the systematic review "PD-1/PD-L1 blockade in Alzheimer's disease".

RevDate: 2026-09-17

Castellani RJ (2026)

Traumatic brain injury and Alzheimer's disease: The null hypothesis wins.

Journal of Alzheimer's disease : JAD [Epub ahead of print].

The theory that traumatic brain injury initiates Alzheimer's disease owes much of its existence to classical studies on boxers. It now appears that both the complexity of postmortem neuropathology and the clinical syndrome were not fully appreciated. Large scale studies linking epidemiology and biology continue to show that chronic effects of traumatic brain injury and Alzheimer's disease pathophysiology are biologically distinct. Researchers are encouraged to look beyond conventional protein precipitates for explanations of clinical deterioration following traumatic brain injury.

RevDate: 2026-09-18

Pillai JA, Zhu A, Ma C, et al (2026)

Cerebrospinal Fluid Over Plasma Links Analytes to Cognitive Decline in Older Adults at Risk for Alzheimer's Disease.

Annals of clinical and translational neurology [Epub ahead of print].

OBJECTIVE: To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD).

METHODS: In a longitudinal study of 118 CN older adults (65-80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were quantified at baseline and 2-year follow-up using SomaLogic, with key inflammatory findings validated on the Luminex platform. Linear models (Limma), adjusted for age, sex, APOEε4, and amyloid-positive status, identified pathology-associated analytes. Co-expression network and multivariable modeling defined hub analytes and enriched pathways. To assess robustness, a targeted panel of 94 inflammation-related analytes was analyzed using best subsets regression to derive parsimonious models based on adjusted R[2] improvement (≥ 0.01) and ≥ 5 observations per predictor. Subgroup analyses by amyloid and APOE ε4 status were performed, and a two-stage elastic-net approach additionally validated analyte selection.

RESULTS: CSF proteomics revealed stronger APOEε4 and amyloid-associated analyte signatures than plasma. Forty-four CSF analytes were co-regulated by APOEε4 and amyloid-positive status, forming central network hubs (e.g., EFNB2, NPTN, UNC5D) enriched in axon guidance, synaptic signaling, and extracellular matrix pathways. In contrast, inflammatory analytes including eotaxin-1 and IL-17 pathway-related molecules were associated with longitudinal cognitive decline, with stronger effects observed in females. Eotaxin-1 demonstrated the most consistent predictive performance across analytic methods, subsets, and assay platforms, whereas network hub analytes were not predictive of cognitive outcomes.

INTERPRETATION: CSF reflects strong APOEε4/amyloid related proteomic network alterations linked to cognitive decline, while plasma provides weaker but complementary signals. CSF inflammatory signaling, particularly eotaxin-1, may serve as a correlate of longitudinal cognitive decline in cognitively normal older adults at risk for AD.

RevDate: 2026-09-18

Lee SK, Han M, Park S, et al (2026)

Impact of Changes in Physical Activity on Dementia Risk Among Cancer Survivors: A Nationwide Cohort Study Comparing Chemotherapy and Non-Chemotherapy Groups.

Cancer research and treatment pii:crt.2026.0451 [Epub ahead of print].

PURPOSE: Chemotherapy-associated cognitive decline is well recognized; however, the role of changes in physical activity in reducing dementia risk among cancer survivors remains unclear. This study evaluated the association between physical activity changes and dementia risk.

MATERIALS AND METHODS: This nationwide retrospective cohort study used health screening and claims data from the Korean National Health Insurance Service. A total of 260,659 adults diagnosed with cancer between 2009 and 2015 who survived ≥3 years and underwent both pre- and post-diagnosis health examinations were included. Individuals with prior dementia or missing data were excluded. Physical activity was assessed as metabolic equivalent task-minutes per week at two time points and categorized as decreased, maintained, or increased. The primary outcome was incident all-cause dementia (ICD-10 codes F00-F03, G30). Adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models, stratified by chemotherapy exposure.

RESULTS: Decreased physical activity was associated with increased dementia risk compared with maintaining high activity (aHR, 1.46; 95% CI, 1.31-1.62), whereas maintaining or increasing activity was associated with reduced risk (aHR, 0.82; 95% CI, 0.75-0.91). The protective association was stronger among chemotherapy-treated patients (aHR, 0.80; 95% CI, 0.72-0.90). No significant association was observed among those not receiving chemotherapy.

CONCLUSION: Maintaining or increasing physical activity after cancer diagnosis was associated with lower dementia risk, particularly among chemotherapy-treated patients.

RevDate: 2026-09-18

Xu L, Wei N, Y Ran (2026)

The dynamic connectome in Alzheimer's disease: From static snapshots to a symphony in time-A hypothesis.

Journal of Alzheimer's disease : JAD [Epub ahead of print].

The static functional connectivity (sFC) model has established Alzheimer's disease (AD) as a large-scale brain network disorder, yet it rests on a questionable assumption of temporal stationarity. This assumption obscures the brain's intrinsic dynamics, which are essential for flexible cognition. Here, we advance the hypothesis that the core deficit in AD is not merely a weakening of average connections, but a fundamental loss of the brain's capacity for temporal coordination, adaptive reconfiguration, and metastable dynamics-a state we term dynamic network dysrhythmia. Synthesizing evidence from dynamic functional connectivity (dFC) studies across the AD continuum, from subjective cognitive decline to mild cognitive impairment and AD dementia, we argue that the AD brain exhibits a progressive collapse in temporal flexibility: reduced state transition frequency, diminished connectivity variability, and entrapment in inefficient network configurations. These dynamic abnormalities correlate with molecular pathology, structural disconnection, and domain-specific cognitive deficits, positioning dFC metrics as sensitive, systems-level digital biomarkers. We further outline methodological challenges and translational opportunities for dFC in early detection, prognostic stratification, and treatment monitoring. This hypothesis reframes AD from a static disconnection syndrome to a dynamic dysrhythmia, with profound implications for both mechanistic understanding and clinical practice.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Wittlinger M, Jevtic S, Teimann S, et al (2026)

The potential of nature exposure to reduce agitation: lessons from a naturalistic observational study in a stage-adaptive, dementia-friendly therapy garden.

BJPsych open, 12(5):e242 pii:S2056472426120936.

BACKGROUND: Behavioural and psychological symptoms of dementia (BPSD), particularly agitation, are common among people living with dementia, negatively affecting their psychological well-being and quality of life. Non-pharmacological interventions such as therapeutic gardens may offer a holistic approach to managing these symptoms.

AIMS: This study aimed to investigate whether participation in a multimodal, dementia-specific therapeutic garden intervention could reduce BPSD, with a particular focus on agitation, and improve psychological well-being among people with dementia.

METHODS: A naturalistic observational study was conducted with 24 residents of a dementia-friendly garden. Participants engaged in tailored, nature-based therapy over 6 months. The intervention was adapted to individual cognitive and physical abilities and included motor, sensory and social activities within the participants' familiar living environment. Standardised assessments of BPSD and psychological well-being were administered, including evaluations reported by relatives.

RESULTS: The intervention was associated with a significant reduction in agitation, as measured by the non-cognitive subscales of the Alzheimer's Disease Assessment Scale (p < 0.05). Furthermore, reduced agitation was linked to improved psychological well-being among participants.

CONCLUSIONS: The findings suggest that multimodal therapeutic gardens can serve as an effective non-pharmacological intervention in reducing agitation and supporting psychological well-being in people with dementia. This study adds to the growing evidence that therapeutic gardens could contribute to the functional and emotional health of individuals living with dementia.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Wang Y, Wu W, Yan L, et al (2026)

Synaptic mitochondrial dysfunction and Alzheimer's disease: from molecular mechanisms to therapeutic strategies.

Frontiers in pharmacology, 17:1849218.

The ability of AD treatments targeting classic pathological proteins to achieve meaningful clinical outcomes has been severely limited, shifting attention to the earlier upstream pathways that drive disease progression. Increasing evidence indicates that synaptic mitochondrial dysfunction is an early pathological event that directly contributes to synaptic loss and cognitive decline. This review focuses on how four interrelated pathologies-disrupted energy metabolism, calcium overload, imbalanced mitochondrial fission/fusion, and defective autophagy-converge to impair synaptic function and plasticity. Emerging therapeutic strategies aimed at protecting and restoring synaptic mitochondrial health, including mitochondria-targeted antioxidants, metabolic modulators, calcium signaling inhibitors, dynamics regulators, and autophagy inducers, are also examined. A central focus of the review is clinical translation: we summarize the preclinical evidence and critically evaluate major obstacles such as the lack of synapse-specific biomarkers, challenges in blood-brain barrier penetration and targeted delivery, and substantial patient heterogeneity. Rather than proposing a fully defined translational framework, we highlight the essential requirements for building one, centered on synaptic mitochondrial bioenergetics and quality control. Specifically, early and accurate biomarkers must be developed, patients should be stratified promptly, and rational combination therapies with complementary mechanisms need to be implemented. This organelle-centered perspective will clarify AD pathogenesis and help guide the development of next-generation neuroprotective therapies.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Bouchard T, Russell B, Guo LL, et al (2026)

The effects of abused drugs on ferroptosis pathways: potential therapeutic targets for substance use disorders.

Frontiers in cellular neuroscience, 20:1899553.

Substance use disorders (SUDs) remain major public health concerns worldwide, particularly in developed countries. SUDs are characterized by persistent neuroinflammation and synaptic dysfunction in the brain. Despite decades of extensive investigation, the detailed mechanisms underlying SUDs remain elusive. Ferroptosis is a highly regulated cell death process deeply affected by iron metabolism, lipid peroxidation, reactive oxygen species (ROS) production, and antioxidant systems. It has been implicated in multiple neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, multiple sclerosis, and ischemic stroke. Recently, emerging evidence has highlighted the role of ferroptosis in drug-induced pathological changes. Various types of abused substances including alcohol, cocaine, methamphetamine (METH) nicotine, cannabis, and opioids have been shown to disrupt ferroptosis-relevant pathways, leading to microglial activation and neuronal injury. Inhibition of ferroptosis could mitigate these pathological changes in preclinical models. Here, we summarize current evidence demonstrating the effects of abused drugs on ferroptosis pathways. Collectively, these findings underscore the potential role of ferroptosis in the pathophysiology of SUDs. Targeting ferroptosis may represent a promising therapeutic strategy for alleviating drug-induced neurological damage and improving recovery outcomes such as cognitive and memory deficiency in individuals with addiction.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Xi W, Rodriguiz RM, Wetsel WC, et al (2026)

Microglial dectin-1/Clec7a in an alzheimer's disease model: a double-edged sword across the lifespan.

Frontiers in immunology, 17:1864888.

INTRODUCTION: Dectin-1, encoded by Clec7a, is highly expressed in disease-associated microglia in Alzheimer's disease (AD), yet its in vivo function remains largely unknown.

METHODS: We generated Clec7a-floxed mice and conditionally deleted dectin-1 in microglia to determine its effects on pathology and behavior using the 5xFAD mice model. No dectin-1 ligand injection was used. Amyloid pathology, immune phenotypes in the brain, and behavior were examined across disease stages.

RESULTS: In 6-month (mo) old mice, microglial dectin-1 reduced dense Aβ plaques in the subiculum without detectable behavioral effects. At 9-mo, microglial dectin-1 impaired memory retention and spatial learning, accompanied by an increased diffuse/dense Aβ plaque ratio in the hilus of the dentate gyrus and limited brain infiltration of Ly6G[lo] neutrophils. At 16-mo, microglial dectin-1 increased freezing behavior suggestive of heightened emotional reactivity.

DISCUSSION: Microglial dectin-1 exerts age-dependent effects: beneficial for amyloid pathology in mid-life but detrimental for cognition and anxiety-related behavior in later life. These context-specific outcomes highlight the need to consider age, the cell types expressing dectin-1, and dectin-1-activating ligands. Future studies should define the classes of ligands and signaling landscape of microglial dectin-1 across the disease course with the goal of identifying windows where intervention could tilt its function toward sustained neuroprotection.

RevDate: 2026-09-18
CmpDate: 2026-09-18

de Ávila C, Chakraborti A, Gundlach AL, et al (2026)

Sex hormones in the nucleus incertus: a novel perspective on sex/gender differences in memory and mood dysfunction in Alzheimer's disease.

Frontiers in aging neuroscience, 18:1852733.

About 60% of the individuals living with Alzheimer's disease (AD) in the United States are women. Increasing evidence points to a role for sex hormones, especially estrogen, in making women more vulnerable to AD than men. Several brainstem signaling pathways, as well as multiple neuropeptide modulators and their receptors, are implicated in AD pathology and therapeutic possibilities. However, there is limited research evaluating how the modulatory effects of sex hormones on mood and cognition interact with these brainstem systems. This review seeks to examine possible connections between the nucleus incertus (NI) relaxin-3/relaxin-family peptide receptor 3 (RLN3/RXFP3) system and sex hormone influences in AD to encourage further investigation into how sex hormones may modulate this pathway and contribute to sex differences in disease risk and progression. Understanding how hormone-based interventions, such as hormone replacement therapy (HRT) and hormonal contraceptives (HC), affect NI RLN3/RXFP3 signaling may provide novel insights into how these treatments can slow AD-associated cognitive decline. It is hoped that this data and concept synthesis will drive detailed investigations of these circuits and support the development of sex/gender-informed therapeutic strategies that better reflect the heterogeneity of AD dementia.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Angarita-Rodríguez A, Largo-González JH, Pérez-Mejía J, et al (2026)

Integrative genome-scale metabolic model of GABAergic neurons reveals metabolic signatures across the mild cognitive impairment - Alzheimer disease continuum.

Frontiers in systems biology, 6:1897648.

INTRODUCTION: Mild cognitive impairment (MCI) represents a prodromal stage of Alzheimer's disease (AD), but the metabolic mechanisms underlying early neuronal dysfunction remain incompletely understood. GABAergic neurons, which maintain excitatory-inhibitory balance and network stability, exhibit early vulnerability during neurodegeneration, although the metabolic alterations associated with their dysfunction remain poorly characterized.

METHODS: We developed a context-specific genome-scale metabolic model (GEM) of human GABAergic neurons across the MCI-AD continuum using deconvolved hippocampal transcriptomic data. By integrating transcriptomic deconvolution with constraint-based modeling, including flux balance analysis (FBA) and flux variability analysis (FVA), we inferred disease-stage-associated metabolic alterations under Control, early MCI (E-MCI), advanced MCI (A-MCI), and AD conditions.

RESULTS: Our analyses suggest progressive remodeling of energy metabolism, the glutamate-glutamine-GABA cycle, redox homeostasis, lipid metabolism, and neuron-astrocyte metabolic interactions. FVA identified reaction-specific changes in feasible flux ranges, indicating remodeling of the feasible metabolic solution space rather than a uniform contraction across pathways. These predicted metabolic alterations were accompanied by transcriptional changes in GABAergic markers and showed qualitative agreement with independent metabolomic observations, supporting their biological plausibility.

DISCUSSION: Overall, this work provides a systems-level computational framework linking transcriptomic alterations with predicted metabolic remodeling in GABAergic neurons and generates experimentally testable hypotheses regarding metabolic dysfunction during progression from MCI to AD.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Li Y, Liao Y, Zhang S, et al (2026)

Activation of silent synapses driven by emerging technologies: mechanisms, disease associations, and prospects for clinical translation.

Frontiers in synaptic neuroscience, 18:1923815.

Silent synapses represent a unique class of synaptic connections that are non-functional at rest but possess the potential to become functional, serving as a critical reservoir for neural plasticity. Their activation mechanisms not only challenge traditional models of synaptic maturation but also provide novel insights into brain function regulation and disease pathology. This article provides a systematic review of the regulatory mechanisms underlying silent synapse activation, encompassing pre-synaptic calcium signaling-mediated vesicle cycling and active zone (AZ) optimization, post-synaptic α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR) membrane insertion and post-synaptic density protein 95 (PSD-95) anchoring, Mg[2+] blockade release by N-methyl-D-aspartate receptor (NMDAR), as well as synergistic integration of upstream signaling pathways. Additionally, it explores the roles of astrocytes, epigenetic modifications, ubiquitin-proteasome systems, and autophagy-lysosomal systems in multi-level regulatory processes. Notably, abnormal regulation of silent synapses exhibits two contrasting pathological patterns in diseases: "desilencing impairment" (e.g., Alzheimer's disease, depression) and "abnormally excessive desilencing" (e.g., drug addiction, chronic pain), which establishes a theoretical framework for targeted interventions. The study further evaluates the applicability and limitations of emerging technologies-including high-resolution imaging, single-cell omics, optogenetics, and AI-driven brain-inspired computing-in silent synapse research, while systematically summarizing clinical advancements, current challenges, and future directions, aiming to inform both fundamental neuroscience studies and therapeutic interventions.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Jekpoo S, Booncharoen K, Prompila S, et al (2026)

Clinical characteristics and neuropsychiatric profiles of young-onset dementia: a retrospective cross-sectional study at a tertiary care center in Northern Thailand.

Frontiers in psychiatry, 17:1912953.

BACKGROUND: Data on young-onset dementia (YOD) in Thailand remain limited. We aimed to describe clinical presentation, general cognitive performance, neuropsychiatric symptoms, neuroimaging features, and selected laboratory findings across YOD subtypes in a tertiary-care cohort in Northern Thailand.

METHODS: We conducted a retrospective cross-sectional study of 295 individuals with YOD (symptom onset < 65 years) treated at Chiang Mai University Hospital (2010-2025). Data extracted included demographics, presenting complaints, general cognitive scores (MoCA/TMSE/MSET-10), neuropsychiatric symptoms (NPI-Q, TGDS), functional status, neuroimaging findings, and laboratory results (HIV, syphilis serology, glycemic indices, and lipid profiles).

RESULTS: Alzheimer's disease (AD) and vascular dementia (VaD) were the most common subtypes. Memory impairment was the most frequent presenting complaint overall (78.3%) and was more common in AD than VaD (93.4% vs 77.8%), whereas behavioral change was more common in VaD than AD (31.1% vs 13.2%). General cognitive scores did not significantly differ between AD and VaD. Neuropsychiatric symptoms were frequent, with aberrant motor behavior (42.2%) and irritability/lability (35.1%) being the most prevalent domains. Regarding neuroimaging features, a substantial burden of subcortical and basal ganglia lesions co-occurred predominantly within the VaD group. Behavioral variant frontotemporal dementia (bvFTD) accounted for 3.7% of cases; most met the International Behavioral Variant FTD Criteria Consortium (FTDC) criteria for probable bvFTD. All tested participants had non-reactive HIV results, and reactive syphilis screening results were uncommon and were not supported by confirmatory treponemal testing.

CONCLUSION: Presenting complaints differed between young-onset AD and VaD despite similar general cognitive performance, underscoring the importance of informant history and multimodal assessment for accurate subtyping. Frequent motor-related neuropsychiatric symptoms highlight the clinical relevance of subcortical/basal ganglia lesion burden in this cohort.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Liu D, Zhuo Y, Chen S, et al (2026)

The role of apolipoprotein E4 on calcium homeostasis in primary hippocampal neurons: an in vitro study.

Frontiers in neuroscience, 20:1845934.

BACKGROUND: We previously demonstrated that apolipoprotein E (apoE4) accelerates neurodegeneration in a transgenic mouse model, but the mechanism is still unclear. A previous study reported that death-associated protein kinase 1 (DAPK1) interacts with the NR2B subunit of the N-methyl-D-aspartate (NMDA) receptor, this DAPK1-NR2B interaction increases calcium intake in cells, leading to cell damage. As apoE4 is the strongest genetic risk factor for sporadic Alzheimer's disease (sAD) and calcium dyshomeostasis is a key driver of sAD-related neurotoxicity, the unclear mechanism linking apoE4 to calcium imbalance remains a critical gap in developing targeted therapies for sAD. Addressing this gap is urgent to advance our understanding of sAD pathogenesis and identify new therapeutic targets. Our study aimed to determine whether the neurotoxic effects of apoE4 are mediated by the interaction between DAPK-1 and the NMDA receptor NR2B subunit.

METHODS: Primary mouse hippocampal neurons were cultured with apoEs in the presence or absence of an NMDA receptor antagonist that preferentially targets NR2B-containing receptors. Intracellular calcium concentration, cell viability and the proteins related to calcium homeostasis were detected.

RESULTS: Cells treated with apoE4 showed increased levels of intracellular calcium and cell death. The expression of DAPK-1 and NR2B was up-regulated, and interacted with each other under the condition of ApoE4 culture.

CONCLUSION: Our study showed that apoE4 causes neurotoxicity by increasing intracellular calcium concentration. The possible mechanism of which was that apoE4 increased the expression of DAPK-1/NMDAR2B, and further promoted the interaction between the two. These results may provide new targets and ideas for the treatment of AD.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Panabakam N, Elangovan K, Seerangan K, et al (2026)

Alzheimer's disease detection from structural brain MRI using FFA U-Net segmentation and transfer learning.

Frontiers in neuroscience, 20:1871982.

INTRODUCTION: Alzheimer's disease (AD) is a progressive neurodegenerative disorder that leads to a gradual decline in cognitive and memory function. Multimodal neuroimaging, particularly magnetic resonance imaging (MRI), has become a central diagnostic tool for tracking disease progression, supporting diagnosis, treatment planning, and follow-up monitoring. Manual delineation of brain structures by clinicians remains time-consuming and labor-intensive, and computer-assisted segmentation is complicated by spatial and structural variability as well as intensity inhomogeneity across images. This study proposes an integrated framework for automated brain image segmentation and AD classification to address these challenges.

METHODS: The framework combines a modified U-Net architecture, termed FFA U-Net, with a fine-tuned VGG16 classifier. FFA U-Net incorporates a residual inception module and a feature fusion attention mechanism into the standard U-Net backbone to perform end-to-end brain tissue segmentation. Segmented outputs are subsequently passed to the fine-tuned VGG16 model for classification of AD status. The framework was evaluated on two datasets, ADNI (843 images) and OASIS (416 images), using subject-wise, non-overlapping training, validation, and test splits to prevent data leakage.

RESULTS: The proposed framework achieved a segmentation Dice Similarity Coefficient (DSC) of 0.929 and a classification accuracy of 98.90%, based on a single data split. These results were consistent across both the ADNI and OASIS datasets, indicating competitive segmentation and classification performance.

DISCUSSION: The findings suggest that combining attention-augmented segmentation with transfer learning-based classification can effectively support automated AD detection from structural MRI, potentially reducing the manual burden on clinicians. As results are based on a single split, further validation using cross-validation or independent cohorts is warranted to confirm robustness and generalizability. The framework should currently be regarded as an experimental research tool that requires additional clinical validation before deployment in practice.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Liu M, Gresham LK, Puccetti NA, et al (2026)

Amygdalar Pattern Similarity to Negative and Neutral Images, Ratings of the Images, and PET-Measured Amyloid and Tau Levels in Older Adults Without Dementia.

Affective science, 7(3):483-497.

UNLABELLED: This study examines associations between brain levels of amyloid-β and tau with representational pattern similarity in amygdalar reactivity to negative and neutral images in older adults without dementia. 81 participants viewed affective images during functional magnetic resonance imaging (fMRI). Participants rated the images on valence and arousal outside the scanner. Amyloid-β and tau were measured with [11]C-Pittsburgh compound B and [18]F-MK-6240 positron emission tomography (PET) imaging. Representational pattern similarity analyses compared amygdalar responses to negative and neutral stimuli, while preserving the voxel-wise pattern of fMRI activation. Greater differentiation in the pattern of responding across the amygdala was indicated by lower similarity between negative and neutral stimuli. Greater tau levels in the entorhinal cortex and amygdalae were associated with less pattern similarity in left amygdalar reactivity to negative and neutral images in participants whose tau level was below standard positivity thresholds. Less pattern similarity in right amygdalar reactivity to negative and neutral images was also associated with the participants' valence and arousal ratings of the stimuli. No associations were found with global amyloid levels and only the association between entorhinal tau and amygdalar similarity remained significant after Bonferroni correction. Greater amygdalar pattern separation in response to negative and neutral stimuli with higher levels of entorhinal tau suggest greater amygdalar sensitivity to negative compared to neutral information as tau accumulates in the brain, suggesting a potential underlying mechanism for the disrupted emotional processes often observed in preclinical Alzheimer's Disease and other Related Dementias.

SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at https://doi.org/10.1007/s42761-026-00394-5.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Subramani S, SB Priya (2026)

Hybrid quaternion-based denoising and deep feature fusion for early Alzheimer's prognosis.

Health information science and systems, 14(1):84.

Alzheimer's Disease (AD) is one of the most common neurodegenerative diseases that causes irreversible cognitive impairment and agnosia. Early detection is extremely valuable in diagnostics, but diagnostic procedures continue to rely on subjective approaches as well as traditional neuroimaging biomarkers, which frequently exhibit low tolerance to noise interference and imprecise structure localization. Traditional approaches also have difficulty combining multi-modal scans (MRI and PET) and detecting early-stage Alzheimer's disease characteristics (e.g., hippocampal atrophy). Some critical limitations of the current state-of-the-art include: (1) extreme sensitivity to noise; (2) poor spatio-temporal feature fusion; and (3) a lack of biomarker prioritization during disease progression. This problem is difficult to solve because the stages of Alzheimer's disease (AD) are not well differentiated. To address the aforementioned challenges, we propose a new study using the Hybrid Quaternion-Based Denoising and Deep Feature Fusion (HQD-FF) framework. The architecture will include a Quaternion Non-Local Means (QNLM) denoising procedure to suppress Rician/Rayleigh noise while keeping the structure intact. Following that, a hybrid CNN-RNN architecture will be used to extract spatial and temporal features using an attention-based fusion technique, allowing the identification of important biomarkers such as cortical thinning. The evaluation was carried out using the public multi-modal neuroimaging ADNI and OASIS datasets, as well as a private set of MRI and PET images. The experimental results show that HQD-FF achieves a PSNR of 23.47 dB and SSIM of 0.745, which is 12-15% better than traditional denoising techniques. HQD-FF also achieves 93.4% classification accuracy, outperforming current baselines by 6.2% in terms of AD diagnosis and stage differentiation (EMCI, LMCI, and AD). The proposed framework was also tested for robustness and statistical significance using ROC analysis, Area Under the Curve analysis, Confusion matrix analysis, and the Wilcoxon signed-rank statistical test. HQD-FF provides a robust, interpretable, and scalable framework for Alzheimer's diagnosis, with the potential to support early intervention and personalized medicine. The generalizable framework may pave the way for multimodal disease classification in broader neurodegenerative research.

RevDate: 2026-09-18
CmpDate: 2026-09-18

de Boer L, Aro OA, Seelaar H, et al (2026)

Digital health technologies in frontotemporal dementia: A scoping review.

Digital health, 12:20552076261483445.

OBJECTIVE: Digital health technologies are increasingly used to assess cognition and behavior in neurodegenerative diseases. While such tools have shown promise in Alzheimer's disease, including the preclinical stages, their use in frontotemporal dementia (FTD) remains underexplored. This scoping review provides an overview of the current literature on digital health technologies in FTD.

METHODS: We conducted a literature search according to the PRISMA-ScR guidelines and included 62 studies investigating digital health technologies in individuals with FTD.

RESULTS: The identified technologies included eye tracking paradigms, smartphone- and tablet-based cognitive assessments, and passive monitoring approaches such as wearable sensors and mobile applications. Most studies reported that these technologies could distinguish individuals with FTD from healthy controls or other dementia syndromes. However, many studies were experimental or feasibility-focused, and systematic evaluation of psychometric properties remains limited.

CONCLUSION: In order to move the field forward, we argue that an in-depth investigation of the relationships between digital health technologies, classical pen-and-paper assessments of cognitive and behavioral functioning, and other biomarkers is necessary to establish clinical validity. Other important aspects to address in future research include the use of diverse cohorts and studying longitudinal effects. In our view, these next steps are crucial to advance digital health technologies toward implementation in clinical practice and clinical trials for FTD.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Bai Q, Yan Y, Zeng C, et al (2026)

Engram cell vulnerability in neurodegeneration: from mechanistic insights to therapeutic horizons.

Frontiers in aging neuroscience, 18:1873893.

Neurodegenerative diseases such as Alzheimer's disease (AD), Parkinson's disease (PD), and Huntington's disease (HD) share progressive memory impairment, yet their upstream pathologies differ. This review synthesizes evidence across these disorders to frame memory decline through engram ensembles and proposes an excitability-vulnerability tradeoff, in which the physiological requirements for engram function, including elevated excitability, synaptic plasticity, and coordinated network activity, also increase sensitivity to synaptic stress, network disruption, and inflammatory perturbations. We summarize disease-related pathological cascades. To date, AD has the most robust body of direct experimental evidence linking pathology to impaired engram function. Solid experimental findings demonstrate that amyloid-β (Aβ)/tau causes hippocampal engram inaccessibility in AD. For PD and HD, inferences drawn from synaptic and circuit dysfunction suggest that α-synuclein (α-syn) pathology and dopaminergic loss may disrupt striatal ensembles, and mutant huntingtin (mHTT) presumably impairs striatocortical coordination. We further integrate a shared amplification route in which microglial activation and complement-linked synaptic remodeling weaken memory-relevant connectivity and reduce cue-driven ensemble reinstatement. This mechanism is well validated in AD, while supporting evidence for PD and HD remains largely indirect. Finally, we outline a translational roadmap that integrates circuit-targeted delivery, engram-relevant clinical endpoints, and scalable neuromodulation, supported by human neuronal-glial molecular profiling to guide mechanism-informed combination strategies. Importantly, these multi-tiered therapeutic approaches act on the full spectrum of neural cells rather than only memory engram ensembles, and cognitive rescue arises from a multifactorial regulatory process involving both global neuroprotection and ensemble stabilization. We also systematically discuss key limitations of current engram research, including methodological heterogeneity in engram labelling tools, interspecies translational barriers, and substantial clinical obstacles for optogenetic and circuit-based therapeutic applications.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Terrando N, Maze M, T Yang (2026)

What is new in delirium: A vascular etiology outlook.

Alzheimer's & dementia (New York, N. Y.), 12(3):e70324.

Emerging studies have highlighted the vascular contributions to cognitive impairment and dementia (VCID), especially in the context of neurodegenerative disorders that cause cognitive decline (i.e., Alzheimer's disease and related dementias [ADRD]). More recent research on perioperative neurocognitive disorders, including postoperative delirium, is describing a potential role of neurovascular dysfunction in the pathogenesis of these common complications for many older adults. These findings support an expanded conceptual framework in which delirium is not simply a transient disorder of neuronal function but may represent an acute neurovascular phenotype that links systemic inflammation, blood-brain barrier injury, and VCID. Delirium is characterized by acute and fluctuating disturbances in attention, awareness, and cognition. It is a common, costly, neurologic complication in patients, especially critically ill patients, patients with chronic metabolic disorders, or older adults. In older adults, delirium is among the most consequential complications of hospitalization. A 2025 national cohort of > 5.5 million older adults undergoing major non-cardiac surgery found that postoperative delirium was associated with markedly higher odds of death or major complications, and 30-day mortality. These contemporary data reinforce a shift in framing: delirium should be treated as acute brain failure and as a quality target for perioperative and critical care systems, not merely as a temporary behavioral syndrome. In addition to the acute negative impacts, delirium significantly escalates the risk of persistent cognitive decline, presaging the potential onset of neurodegenerative disorders. Despite substantial research into delirium epidemiology, prevention, and control, its management is complicated by the elusive nature of its pathophysiological mechanisms. Here, we propose a vascular etiology outlook for delirium, with emphasis on the neurovascular unit as a key interface in determining the onset of this complication and potentially jump-starting permanent brain dysfunction and ADRD.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Feng S, Zhuang H, Xu C, et al (2026)

Individualized cholinergic pathway degeneration in Alzheimer's disease characterized by normative modeling.

Alzheimer's & dementia (Amsterdam, Netherlands), 18(3):e70485.

INTRODUCTION: Cholinergic pathway degeneration is implicated in Alzheimer's disease (AD), but its individualized characterization in AD and mild cognitive impairment (MCI) remains limited.

METHODS: We constructed lifespan normative models of medial and lateral cholinergic pathways using >6000 diffusion MRI scans from healthy individuals. These models were applied to 1742 scans from 725 participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. Individualized diffusion abnormalities were integrated into a composite cholinergic pathway degeneration index (CPDI). Group differences and longitudinal associations with cognitive decline and progression were evaluated.

RESULTS: CPDI was higher in MCI and AD participants than in controls, and increased longitudinally in patients with AD and in patients with MCI who progressed to AD. Higher baseline CPDI was associated with an increased risk of progression from MCI to AD and faster decline in global cognition, memory, language, and executive function.

DISCUSSION: CPDI provides an individualized biomarker of cholinergic pathway degeneration with prognostic relevance in AD.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Mirshekar MA, Nadi F, Fanaei H, et al (2026)

Modulation of spatial learning and memory by cannabinoid-estrogen interaction in an AD-like cognitive impairment: The role of cannabinoid receptors and BDNF protein.

IBRO neuroscience reports, 21:780-789.

Alzheimer's disease (AD) is an increasingly prevalent neurodegenerative disorder worldwide, with women showing a higher risk of developing the disease. The decline in steroid hormones after menopause may contribute to the increased susceptibility of women to neurodegenerative conditions. In parallel, cannabis-derived compounds have been reported to alleviate certain symptoms associated with neurological disorders. The present study was designed to investigate the effects of marijuana extract on cognitive impairment and hippocampal molecular markers in an ovariectomized AD-like rat model, and to evaluate whether co-administration with estradiol modifies these effects. The marijuana extract used in this study was characterized by HPLC and was found to contain 8.5% Δ9-THC. AD-like cognitive impairment pathology was induced by intra-hippocampal administration of Aβ25-35 in OVX rats. Animals were treated with marijuana extract (60 mg/kg/day, corresponding to approximately 5.1 mg/kg/day Δ9-THC) either alone or in combination with 17β-estradiol (1 mg/kg every 4 days) for 28 days. Cognitive performance was evaluated using the Morris water maze (MWM). In addition, hippocampal CB1/CB2 receptor expression and BDNF protein levels were measured to examine potential molecular associations. Our findings showed that chronic administration of the marijuana extract improved Aβ25-35-induced deficits in spatial learning and memory. Alterations in CB1 receptor expression and BDNF levels accompanied these behavioral effects. Notably, co-treatment with estradiol did not produce a synergistic effect, suggesting a complex interaction between cannabinoid-related and estrogen-related signaling pathways. These preclinical findings suggest that a THC-standardized marijuana extract may exert neuroprotective-like effects in an AD-like cognitive impairment model. However, because the extract was not fully phytochemically characterized and the mechanistic analyses were correlational, the results should be interpreted cautiously. Further studies are needed to clarify the underlying mechanisms and translational relevance of these findings.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Thompson L, Eaton C, Prieto S, et al (2026)

A pilot study of at-home online cognitive screening prior to primary care wellness visits for older adults.

Frontiers in digital health, 8:1823218.

BACKGROUND: Improved methods of cognitive testing are urgently needed for primary care settings faced with a growing older adult population and higher rates of dementia. We tested the feasibility and acceptability of a novel online cognitive test that can be completed at home prior to an annual exam.

METHODS: 32 older adults completed testing at home on personal devices 1-4 weeks prior to an annual exam with their primary care provider. Additional cognitive screening was completed in-clinic to provide preliminary validation evidence. Completion rates were examined to assess feasibility, and patient acceptability was assessed via survey.

RESULTS: Completion rate was 78.5% for at-home testing online. Participants reported that they generally preferred at-home over in-clinic testing. At-home test performance was moderately correlated with the standard Montreal Cognitive Assessment completed in clinic.

CONCLUSION: Findings provide initial support for the acceptability of self-administered online cognitive screening for older adults in primary care. Completion rates were slightly below a preset benchmark, suggesting that additional support may be needed to facilitate at-home testing in routine care. Further validation research is needed in larger samples including examination of digital measure convergence with clinical diagnoses and additional cognitive testing.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Li X, Miao Z, Bi J, et al (2026)

Sucralose Induces Neurobehavioral Alterations and Exacerbates Alzheimer's Disease-Like Phenotypes in Zebrafish Models.

ACS omega, 11(36):54169-54186.

Artificial sweeteners are widely consumed, yet their potential neurotoxic effects remain poorly understood. Using sucralose (SUC) as a model compound, this study develops an approach to rapidly screen the neurotoxicity of artificial sweeteners and explore their potential associations with neurodegenerative-like processes, especially Alzheimer's disease (AD)-like phenotypes. SUC is minimally absorbed and metabolized by mammals, leading to its widespread presence in the environment. Here, we integrate high-throughput behavioral phenotyping in larval zebrafish with targeted analyses in adult and AD transgenic models, employing a "behavioral phenoblast" strategy adapted from prior large-scale sleep-wake drug screens. SUC effects were evaluated across a broad concentration range (5 μg/L to 100 mg/L), covering low-dose to high-dose exposure conditions. Hierarchical and K-means clustering revealed that SUC's behavioral signatures closely resembled those of compounds associated with neurodegenerative risks. To validate these findings, adult zebrafish were exposed to SUC within the Acceptable Daily Intake (ADI) range (1-100 mg/L) for 3 months, resulting in dose-dependent increases in anxiety-like behaviors and impairments in learning and memory. Notably, treatment of transgenic zebrafish expressing human misfolded Aβ protein with SUC exacerbated Aβ-related pathological phenotypes in a dose-dependent manner. These findings highlight the need for further investigation into the long-term neurological impacts of artificial sweeteners and provide a methodological framework for evaluating the potential health risks of artificial sweeteners.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Vairavan S, Griffin N, Wilson D, et al (2026)

A scalable workflow using digital cognitive assessment and pTau217 for MCI detection.

Alzheimer's & dementia (Amsterdam, Netherlands), 18(3):e70486.

INTRODUCTION: Blood biomarkers like phosphorylated tau (p-tau)217 offer high diagnostic accuracy for Alzheimer's disease (AD) but face implementation challenges in low-prevalence settings. We evaluated the Altoida NeuroMarker Platform as a digital cognitive triage tool before plasma p-tau217 testing.

METHODS: XGBoost models were trained to predict mild cognitive impairment (MCI) and p-tau217 status in 688 individuals across Australia, Spain, and the United States using the Altoida NeuroMarker. p-tau217 status was dichotomized using a threshold of 0.04 pg/mL (LucentAD). We modeled a two-step workflow (Altoida, plasma p-tau217) to enrich downstream biomarker testing, assuming 30% prevalence of AD pathology.

RESULTS: The Altoida NeuroMarker accurately identified MCI (receiver operating characteristic area under the curve [ROC AUC] = 0.89 ± 0.01) and p-tau217 elevation (ROC AUC = 0.77 ± 0.08). Predicted MCI was significantly associated with elevated pTau217 (p = 0.004). When used upstream, the Altoida NeuroMarker ruled out 64.4% of participants (negative predictive value 90.2%), shifting the pre-test probability of AD pathology to 66.6%, and improving the modeled positive predictive value of plasma p-tau217 from 81.7% to 95.3%.

DISCUSSION: This workflow outlines a scalable path to enrich blood-based biomarker testing after digital cognitive screening.

RevDate: 2026-09-18

Benito-León J, Serrano JI, Del Castillo MD, et al (2026)

Population-based cohort study of modifiable risk factors for dementia and Alzheimer disease mortality in Spain.

Communications health, 1(1):26.

BACKGROUND: Although many modifiable factors are linked to dementia risk, their association with dementia and Alzheimer disease (AD) mortality remains unclear. We aimed to identify late-life modifiable factors associated with these outcomes and assess sex differences.

METHODS: In the population-based Neurological Disorders in Central Spain (NEDICES) cohort, we followed 3085 older adults enrolled in 1994-1995 through 2017. We examined 13 modifiable factors measured at study entry. Dementia and AD deaths were defined by the underlying cause recorded on death certificates. Fine-Gray competing risk models accounted for death from other causes and generated subdistribution hazard ratio (SHR) estimates and adjusted population attributable fractions (PAFs).

RESULTS: During follow-up, there were 182 dementia-coded deaths (including 105 AD-coded deaths) and 2423 deaths from other causes. Here we show that depressive symptoms are associated with higher dementia-coded mortality in women (SHR 1.52, 95% confidence interval [CI] 1.00-2.30; PAF 13.6%, 95% CI 0.0-28.4) and higher AD-coded mortality overall (SHR 1.76, 95% CI 1.11-2.79; PAF 15.4%, 95% CI 2.6-29.9), with a stronger association in women (SHR 2.23, 95% CI 1.28-3.88; PAF 27.2%, 95% CI 7.8-46.7). Several exposures show inverse associations (e.g., smoking, obesity, and arterial hypertension in men), consistent with competing mortality and late-life reverse causation. Combined positive PAFs are 10.8% for dementia-coded mortality and 18.2% for AD-coded mortality overall, reaching 41.1% in women for AD-coded mortality.

CONCLUSIONS: Late-life depressive symptoms, particularly among women, emerged as the most prominent modifiable correlate of dementia- and AD-coded mortality, supporting improved recognition and management of depressive symptoms in older adults.

RevDate: 2026-09-18

Austin G, Ferguson JJA, Eslick S, et al (2026)

Plant-based diets, cognitive function, and Alzheimer's disease.

Food & function [Epub ahead of print].

Background: Alzheimer's disease (AD) represents 60-70% of global dementia cases, with up to 45% attributed to modifiable risk factors. Plant-based diets (PBDs) are increasingly recognised for their potential benefits on the gut microbiome, cardiometabolic risk factors and prevention of neurodegenerative disorders. This narrative review synthesises PBDs association with cognitive decline and AD risk. Methods: This review aims to summarise evidence from observational and interventional studies examining vegan, vegetarian, pesco-vegetarian, semi-vegetarian dietary patterns, and PBD indices in relation to cognitive function, incident dementia, AD biomarkers, and neuroimaging outcomes. Results: Long-term observational studies suggest greater adherence to vegan, vegetarian and healthy PBD indexs are associated with lower risk of cognitive decline and dementia, while higher intake of red and processed meat is linked to increased risk. Pesco-vegetarian dietary patterns and higher fish intake appear to confer benefits in memory tests and reduced risk of all-cause dementia, although research is limited. Mechanistically, PBDs are rich in unsaturated fats, fibre, polyphenols and low in saturated fats, which contribute to improving lipid profiles, glycaemic control, endothelial function, and favourable gut-derived metabolites, thereby reducing cardiometabolic burden that is known to accelerate early-stage AD pathophysiology. However, nutritional considerations, including potential deficiencies in vitamin B12 and long-chain omega-3 fatty acids, require consideration when following a PBD. Conclusions: Current evidence suggests PBDs may support cognitive health and reduce the risk of dementia including AD through vascular and metabolic pathways, though long-term interventional studies incorporating biomarkers and neuroimaging are needed to clarify effects and optimise dietary recommendations for AD prevention.

RevDate: 2026-09-18

Gaber DA (2026)

Engineering centrifugally spun nanofibrous matrices as high-performance transdermal patches for accelerated Alzheimer's treatment.

Journal of biomaterials science. Polymer edition [Epub ahead of print].

This study aimed to develop and optimize a centrifugally spun polycaprolactone/poly(vinyl alcohol) (PCL/PVA) nanofibrous transdermal patch containing polyethylene glycol 400 (PEG 400) and oleic acid to improve rivastigmine delivery for the long-term management of Alzheimer's disease. Rivastigmine-loaded nanofibrous patches were fabricated by centrifugal spinning and characterized using scanning electron microscopy (SEM), differential scanning calorimetry (DSC), and attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR). Mechanical properties, drug release, ex vivo skin permeation and deposition, dermal irritation, pharmacokinetics in New Zealand White rabbits, and stability were systematically evaluated. The optimized formulation (F5) produced uniform, bead-free nanofibers (1.7 ± 0.3 μm) with rivastigmine molecularly dispersed in an amorphous state within the polymeric matrix. The patch exhibited favorable mechanical properties, sustained drug release, enhanced ex vivo skin permeation (0.50 ± 0.04 mg/cm[2] at 24 h), and increased drug deposition within the viable epidermis and dermis, indicating cutaneous reservoir formation. Dermal irritation was negligible (Primary Irritation Index = 0.08). Pharmacokinetic studies demonstrated prolonged systemic absorption (Tmax = 6.0 ± 1.0 h) and approximately five-fold greater systemic exposure (AUC0-∞ = 345 ± 28 ng·h/mL) than the oral formulation (67 ± 9 ng·h/mL, p < 0.05).The optimized centrifugally spun nanofibrous patch provided sustained rivastigmine delivery, excellent dermal biocompatibility, enhanced skin deposition, and improved systemic bioavailability, supporting its potential as a scalable transdermal platform for long-term Alzheimer's disease therapy.

RevDate: 2026-09-18

Choi JJ, Engelman CD, T Lu (2026)

Multi-omics integration of transcriptomics and metabolomics with machine learning uncovers novel risk factors for Alzheimer's disease.

Journal of Alzheimer's disease : JAD [Epub ahead of print].

BackgroundAlzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive decline, memory impairment, and functional deterioration. Its complex pathogenesis involves amyloid plaques, tau tangles, neuroinflammation, synaptic dysfunction, and interacting genetic, environmental, and lifestyle factors. Transcriptomic and metabolomic studies have revealed molecular disruptions relevant to AD, supporting integrative approaches for biomarker discovery.ObjectiveTo integrate genetically imputed whole-blood transcriptomics and measured plasma metabolomics to predict cognitive performance, assessed using the PACC3 score, and identify influential genes and metabolites associated with cognition.MethodsA machine learning model integrated transcriptomic and metabolomic data from 1046 participants in the Wisconsin Registry for Alzheimer's Prevention (WRAP). Performance was evaluated in a WRAP holdout test set and independently validated in 85 participants from the Wisconsin Alzheimer's Disease Research Center (ADRC). Feature importance was used to identify molecular contributors to prediction.ResultsThe model achieved a normalized root mean squared error of 0.707 and an R[2] of 0.338 in the WRAP holdout dataset (p = 5.93 × 10[-30]), and corresponding values of 0.915 and 0.061 in ADRC (p = 4.71 × 10[-2]). Higher imputed expression of RIPK1, IL6ST, and BIN1 was associated with poorer cognitive performance, whereas UGP2, NDUFB5, and TMOD2 were associated with better performance. Predictive metabolites included benzoate, 3-phenylpropionate, imidazolelactate, hexanoylcarnitine, and propionate-related metabolites.ConclusionsMulti-omics integration identified candidate biomarkers reflecting inflammatory signaling, mitochondrial dysfunction, and lipid metabolism. Together, these findings demonstrate complementary biological information captured across both omics layers. These convergent signals support improved molecular characterization of AD and biomarker prioritization for future mechanistic and translational studies.

RevDate: 2026-09-18

Ramezannezhad E, Dehghani M, Alzheimer's Disease Neuroimaging Initiative (2026)

Utility of biomarkers in prediction of future cognition in Alzheimer's disease continuum changes over time.

Journal of Alzheimer's disease : JAD [Epub ahead of print].

BackgroundWhile multiple biomarkers of Alzheimer's disease (AD) and mild cognitive impairment (MCI) predict cognitive decline over time, their predictive value at each of the disease stages remains unclear.ObjectiveTo examine how the predictive power of biomarkers changes over time.MethodsWe dynamically ranked a comprehensive set of multimodal biomarkers-including APOE genotype, medical history, structural MRI, FDG-PET, amyloid PET, CSF markers, metabolic measures, and neuropsychiatric tests-from baseline to 30 months in ADNI participants. Feature importance for each timepoint was estimated using random forests and features were clustered based on their patten of importance over time. As a post-hoc, the top features over time were input into a long short-term memory (LSTM) model for future ADAS-13 prediction.ResultsIn 981 participants (751 MCI, 230 AD), clustering of top feature importances over time revealed three trajectories in MCI (stable, early-only, and declining) and four in AD (early-only, stable, early-declining, and late-increasing). The top important features over time were cognitive scores, CSF Aβ42, tau, imaging biomarkers (FDG-PET hypometabolic convergence index, temporal/parietal cortical thickness), metabolic measures (serum albumin, glucose), and apolipoproteins and omega-3. Optimized LSTM models achieved peak R[2] = 0.86 (RMSE = 3.90) in MCI and R[2] = 0.78 (RMSE = 5.86) in AD using as few as 10 features.ConclusionsEarly-stage prognosis relies on CSF Aβ42, p-tau181, and tau; short-term decline is best predicted by FDG-PET; structural MRI shifts from hippocampal/entorhinal to parietal/network regions over time; metabolic markers remain consistently informative; and ADAS/MMSE gain value with advancing global decline.

RevDate: 2026-09-18

Li R, Zhang B, Qiao Y, et al (2026)

Association between caregiving status and cognitive function as well as activities of daily living among community-dwelling older adults with Alzheimer's disease: A cross-sectional study.

Journal of Alzheimer's disease : JAD [Epub ahead of print].

BackgroundAlzheimer's disease is associated with progressive cognitive decline and impaired activities of daily living. Professional institutional care and family home care are common long-term care models, but their associations with patient outcomes and potential mediating pathways remain unclear.ObjectiveTo examine the associations of care model with cognitive function and activities of daily living in patients with mild-to-moderate Alzheimer's disease and to assess the mediating roles of neuropsychiatric symptoms and social support.MethodsThis cross-sectional study included 309 patients: 194 receiving professional institutional care and 115 receiving family home care. Cognition, daily functioning, neuropsychiatric symptoms, and social support were assessed using standardized scales. Multiple linear regression, propensity score matching, bootstrap mediation analysis, and subgroup analyses were performed.ResultsAfter full adjustment, professional institutional care was associated with higher Montreal Cognitive Assessment scores (β=1.87, 95% confidence interval [CI] 0.87-2.87; p < 0.001) and lower Activities of Daily Living scores (β=-3.04, 95% CI -5.16 to -0.92; p = 0.005). Propensity score matching yielded consistent results. Neuropsychiatric symptoms mediated 22.37% of the association with daily functioning, whereas social support did not show a significant mediating effect. Associations were consistent across subgroups.ConclusionsProfessional institutional care was associated with better cognition and greater independence in daily living, partly through fewer neuropsychiatric symptoms. Because of the cross-sectional design, these findings do not establish causality.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Abdanipour A, Nikfar A, H Feizi (2026)

Selegiline induces neuroprotection via PGC-1α/Nrf2 gene upregulation in H2O2 -treated hippocampal-derived neural stem/progenitor cells.

Cellular and molecular biology (Noisy-le-Grand, France), 72(5):47-53.

Oxidative stress mediated by reactive oxygen species (ROS) is a major contributor to the pathogenesis of neurodegenerative diseases, including Alzheimer's, Parkinson's, Huntington's, multiple sclerosis, and amyotrophic lateral sclerosis. Selegiline, a monoamine oxidase B inhibitor, has been reported to exert neuroprotective effects, although its precise cytoprotective mechanisms remain unclear. In this study, we investigated the effects of selegiline on apoptosis, necrosis, and cell survival in hydrogen peroxide (H2O2)-treated hippocampal-derived neural stem/progenitor cells (HD-NSPCs) in vitro. Passage 3 HD-NSPCs were treated with varying concentrations of selegiline (10[-3] to 10[-9] M) prior to exposure to 125 μM H2O2. Cell viability was assessed using the MTT assay, while apoptosis and necrosis were evaluated using TUNEL and acridine orange/ethidium bromide staining, respectively. Real-time RT-PCR was performed to quantify mRNA levels of PGC-1α, Nrf2, and Bcl-2. Treatment with 10[-7] M selegiline significantly enhanced HD-NSC viability, reduced apoptotic and necrotic cell fractions, and upregulated PGC-1α, Nrf2, and Bcl-2 expression compared to untreated cells (P < 0.05). These findings suggest that selegiline mitigates oxidative stress-induced cytotoxicity by activating Nrf2/PGC-1α signaling and promoting anti-apoptotic gene expression, thereby preserving mitochondrial function and enhancing cell survival. Overall, selegiline may represent a promising therapeutic agent for protecting neural progenitor cells and alleviating neuronal damage in neurodegenerative disorders.

RevDate: 2026-09-18
CmpDate: 2026-09-18

Abdelnaby Khalyfa , Jose M Marin , David Sanz-Rubio , et al (2026)

Congruency of exosome-mediated blood-brain barrier dysfunction by activation of Na/K-ATPase in obstructive sleep apnea and Alzheimer's disease.

Cellular and molecular biology (Noisy-le-Grand, France), 72(5):25-29.

Obstructive sleep apnea (OSA) and Alzheimer's disease (AD) are highly prevalent chronic disorders that share several pathological features, including oxidative stress, inflammation, vascular dysfunction, and cognitive impairment. Although epidemiological studies have demonstrated a strong association between OSA and an increased risk of AD, the mechanisms linking these disorders remain poorly understood. We hypothesized that circulating plasma exosomes from patients with OSA or AD disrupt blood-brain barrier (BBB) integrity through activation of Na[+]/K[+]-ATPase signaling. Plasma exosomes were isolated from adult male patients with OSA or AD (n = 10/group) and applied to naïve human brain microvascular endothelial cells (hCMEC/D3). BBB integrity was continuously monitored using electric cell-substrate impedance sensing (ECIS) in the presence or absence of the Na[+]/K[+]-ATPase signaling inhibitor pNaKtide (0-2.0 µM). Exosomes derived from both OSA and AD patients significantly impaired endothelial barrier function, indicating that circulating extracellular vesicles carry bioactive cargo capable of disrupting BBB integrity. Pharmacological inhibition of Na[+]/K[+]-ATPase signaling with pNaKtide significantly restored barrier function at concentrations of 1.0 and 2.0 µM, although the degree of protection differed between the OSA- and AD-derived exosomes, suggesting disease-specific mechanisms of endothelial injury. These findings identify Na[+]/K[+]-ATPase signaling as a key mediator of exosome-induced BBB dysfunction and provide mechanistic evidence linking circulating extracellular vesicles to neurovascular injury in both OSA and AD. Collectively, our results suggest that plasma-derived exosomes contribute to BBB disruption and highlight Na[+]/K[+]-ATPase signaling as a promising therapeutic target for preventing or attenuating neurovascular dysfunction associated with OSA and AD.

RevDate: 2026-09-17
CmpDate: 2026-09-17

Zhang C, Li H, Tian F, et al (2026)

Robust Longitudinal Dementia Prediction under Systemic Missingness via Hierarchical Fusion and Test-Time Adaptation.

medRxiv : the preprint server for health sciences.

Longitudinal dementia progression prediction is essential for clinical decision-making. However, models often degrade on external cohorts due to systemic missingness - where certain biomarkers available during training are completely absent at test time - compounded by distribution shifts and patient-specific variability. Here, we propose Progression-aware Feature Fusion with Test-Time Adaptation (ProFuse-TTA), a two-stage hierarchical Transformer for longitudinal dementia prediction. Stage 1 learns per-biomarker temporal representations from irregular observations without imputation. Stage 2 fuses them via cross-feature attention, with simulated modality dropout during training for robustness to systemic missingness. At inference, a lightweight test-time adaptation module performs per-individual calibration. We trained on ADNI and evaluated on three external cohorts comprising 2,316 participants and 13,205 timepoints, with controlled modality ablation experiments isolating the effect of systemic missingness. We compared against six baselines, four from a recent benchmark study and two new baselines including one built on a tabular foundation model. ProFuse-TTA achieved the best cross-dataset performance in 8 of 9 settings across clinical diagnosis, MMSE, and hippocampal volume prediction, and ranked first in 14 of 15 ablation scenarios. The model maintained superior performance across varying input lengths and prediction horizons up to 6 years. Pretrained ADNI models are available at XXX.

RevDate: 2026-09-16

Petrella JR, Barkhof F, Benzinger TLS, et al (2026)

Artificial Intelligence-Based Detection of ARIA on MRI During Alzheimer Disease Therapy: Expert Opinion on Responsible Clinical Integration.

AJR. American journal of roentgenology [Epub ahead of print].

Amyloid-targeted monoclonal antibody therapies have introduced a new era in the treatment of early Alzheimer disease. However, their use has increased the importance of detecting and monitoring amyloid-related imaging abnormalities (ARIA) on MRI, as such findings may influence treatment continuation, dose modification, and patient safety assessment. As anti-amyloid therapies expand into routine practice, increasing surveillance MRI volumes, interreader variability, and the potential for missed subtle abnormalities have generated interest in artificial intelligence (AI)-based clinical decision support tools. A multidisciplinary panel of neuroradiologists and Alzheimer disease clinicians examined the extent of evidence supporting clinical implementation of AI-assisted ARIA detection tools, these tools' safe integration into practice, and remaining evidence gaps. The panel concluded that AI-assisted ARIA detection is likely to enhance patient safety when used as clinical decision support within a radiologist-in-the-loop framework. Panelists also noted substantial variation among commercially available tools in regulatory status, technical capabilities, and validation evidence. Moreover, they emphasized the need for further studies to assess the impact of improved detection on clinical outcomes. Overall, the panel supported conditional implementation with radiologist oversight, ongoing quality assurance, and prospective monitoring of clinical performance.

RevDate: 2026-09-16

Urso D, Giannelli T, Tafuri B, et al (2026)

Alzheimer's Co-Pathology Burden on Basal Forebrain Atrophy and Cognitive Impairment in Dementia with Lewy Bodies: A Cross-Sectional Pilot Study.

Annals of neurology [Epub ahead of print].

OBJECTIVE: Dementia with Lewy Bodies (DLB) is the second most common neurodegenerative dementia after Alzheimer's disease (AD), with significant pathological overlap between the two conditions. However, the impact of Alzheimer's co-pathology on basal forebrain (BF) atrophy and its relationship with neurodegeneration and cognitive decline in patients with DLB remains underexplored.

METHODS: Forty patients with DLB and 14 healthy controls (HCs) were included from the Centre for Neurodegenerative Diseases, University of Bari. Participants underwent neuropsychological evaluations, 3T magnetic resonance imaging (MRI) scans, and Alzheimer's biomarkers assessment. Patients with DLB were grouped by AD co-pathology using in vivo biomarkers. BF and hippocampal volumes and mean cortical thickness values were analyzed using analysis of covariance (ANCOVA), adjusted for age, sex, and total intracranial volume. Mediation analyses were conducted to examine the indirect effects of Alzheimer's pathology and BF atrophy on neurodegeneration (hippocampal volume and cortical thickness) and cognitive function (Mini-Mental State Examination [MMSE]).

RESULTS: Patients with DLB exhibited significant BF atrophy compared with HCs (p < 0.001). AD co-pathology was associated with greater BF atrophy (p = 0.046) and reduced mean cortical thickness (p = 0.025). Significant correlations were found between BF volume and the pTAU181/Aβ1-42 ratio (p = 0.009) and between BF volume and MMSE scores (p = 0.016). Mediation analysis revealed that BF atrophy mediated the relationship between the pTau/Aβ42 ratio and neurodegeneration, and that the BF has a direct association with cognitive impairment.

INTERPRETATION: AD co-pathology in DLB exacerbates BF atrophy, correlating with cognitive decline. These results emphasize the need to consider AD co-pathology in evaluating neurodegeneration in DLB, suggesting future studies should explore targeted interventions to address this pathological overlap. ANN NEUROL 2026.

RevDate: 2026-09-16

Thilagavathy R, Pandiselvam R, N Govindarajan (2026)

Immunosenescence and immune-organ axis dysfunction: Potential of algal bioactives and nutritional interventions for healthy ageing.

International reviews of immunology [Epub ahead of print].

Aging-associated immunosenescence disrupts various immune pathways-signaling, cellular, metabolic, epigenetic, and inflammatory mechanisms-leading to impaired bidirectional interactions between the immune system and organs. This dysfunction exacerbates geriatric conditions, including neurodegenerative disorders, chronic inflammation, and metabolic syndromes. This review introduces the concept of the immune-organ axis, an underexplored framework connecting immune dysregulation to organ-specific dysfunction. Nutritional interventions, including bioactive compounds, essential nutrients, functional foods, and phytochemicals, are highlighted for their ability to modulate these pathways by inducing autophagy, resolving inflammation, and promoting cellular repair. Furthermore, stabilization and delivery systems are proposed as technological solutions to enhance the efficacy of these interventions. This review emphasizes the need for integrative approaches to mitigate immune dysfunction and improve health outcomes in aging populations, while outlining future research directions to advance this field.

RevDate: 2026-09-17
CmpDate: 2026-09-16

Burton E, Barry V, Parkin B, et al (2026)

One of the Many Things That I've Learned on This Journey…: A Co-operative, Narrative Inquiry With Two Care Partners of Spouses With Young Onset Dementia.

Health expectations : an international journal of public participation in health care and health policy, 29(5):e70827.

INTRODUCTION: Young-onset dementia (YOD) is a term used when people demonstrate symptoms or are diagnosed with dementia before 65 years of age. YOD can be challenging to diagnose because health practitioners often do not initially consider dementia as the cause of someone's change in health or function in their 40 s, 50 s or even early 60 s. This can be the start of a complex journey for both the person living with YOD and their care partner. The aim of this study was to explore the journey for two care partners whose spouses were diagnosed with YOD.

METHODS: Co-operative, narrative inquiry, which is a collaborative, participatory research approach was used. This enabled in-depth reporting of the experiences of the two care partners, who were also research partners and authors on this project.

RESULTS: The story is told through a timeline lens where both care partners' narratives described their journeys prior to diagnosis, diagnosis, life after diagnosis through to transitioning to a care home. Both care partners experienced long periods of uncertainty as initial changes became evident, followed by frustration with health professionals leading to delays in onward referral and diagnosis. Both found the change of role to be confronting and their care for their spouse with YOD to significantly impact on their finances, work, social lives and wellbeing. Both worked hard to maintain their spouses' dignity and quality of life. They became innovative problem-solvers and strong advocates. Both continue in advocacy roles at the local, state and national levels.

CONCLUSION: Giving space to reflect on the stories of family care partners of people living with YOD is helpful in sensitising health professionals to the needs of their clients over time and highlighting the integral role of families in managing the condition.

Two lived-experience contributors, both care partners of people living (or having lived) with young onset dementia, were involved as research partners throughout the project. They reviewed and edited the ethics application (including project proposal) to ensure the proposed research and participant materials were acceptable and understandable to care partners. They each participated in an individual interview (after providing written consent as required by the local Human Research Ethics Committee), shared their lived experience to help interpret and contextualise the findings, and provided detailed feedback on drafts of the manuscript. They also contributed additional information to strengthen the implications for practice and have been included as named authors on the paper in recognition of their substantial contribution and partnership in the project.

RevDate: 2026-09-16
CmpDate: 2026-09-16

Izhytska N, Sobczyk KA, Ogrodnik KW, et al (2026)

Emerging therapeutic targets beyond amyloid and tau in Alzheimer's Disease: Implications for lifestyle, metabolism and preventive medicine.

Wiadomosci lekarskie (Warsaw, Poland : 1960), 79(7):1685-1691.

Alzheimer's disease (AD) is the leading cause of dementia and remains a major global health challenge. Although current disease-modifying therapies primarily target amyloid-β and tau pathology, their clinical efficacy is limited. Increasing evidence indicates that AD is a multifactorial disorder involving neuroinflammation, mitochondrial dysfunction, impaired autophagy-lysosomal pathways, and dysregulated lipid metabolism. These interconnected mechanisms contribute to disease progression and represent promising therapeutic targets. This narrative review summarizes current evidence on emerging treatment strategies beyond the classical amyloid and tau paradigm, with particular emphasis on microglial activation, mitochondrial function, autophagy, and lipid homeostasis. Additionally, the translational potential of lifestyle-based interventions, including physical activity and metabolic regulation, is discussed. A broader understanding of AD pathogenesis may support the development of integrated therapeutic approaches combining pharmacological and non-pharmacological strategies to improve clinical outcomes.

RevDate: 2026-09-16
CmpDate: 2026-09-16

Tharwat T, El-Nassan HB, Adly ME, et al (2026)

Unlocking the Potential of Isatin Scaffolds in Acetylcholinesterase Inhibition.

Archiv der Pharmazie, 359(9):e70336.

The therapeutic significance of acetylcholinesterase (AChE) inhibition is most prominently observed in the management of various neurodegenerative and neuromuscular disorders, including Alzheimer's disease (AD), and myasthenia gravis (MG). The present review examines isatin-based compounds as a promising class of drugs for treating these conditions, focusing on their ability to inhibit AChE. While AD is characterized by a significant loss of cholinergic neurons leading to a deficiency in acetylcholine (ACh), MG is an autoimmune disease where the body produces antibodies that block or destroy ACh receptors at the neuromuscular junction. By inhibiting AChE, therapeutic agents increase the availability of ACh, thereby enhancing cholinergic neurotransmission and improving muscle strength or cognitive function. The underlying issue in MG is the reduced number of functional receptors rather than a primary decrease in AChE production. However, inhibition of the enzyme remains a vital strategy for symptom management. Accordingly, this review provides a systematic overview of the various synthetic strategies reported in the literature over the last decade for enhancing isatin-based AChE inhibitory activity. These strategies include modifications of the isatin nitrogen, such as N-alkylation, N-acylation, or N-arylation. Another strategy is aromatic ring substitution, where various substituents (e.g., halogens, nitro, amino, and alkyl groups) are introduced typically at the C5, C6, and/or C7 positions. C3-carbonyl functionalization is also reported, exemplified by the formation of Schiff bases, hydrazones, or spirocyclic derivatives. Our findings highlight the exceptional potential and adaptability of isatin derivatives in medicinal chemistry, highlighting the major advances within the last 10 years and the future directions.

RevDate: 2026-09-16
CmpDate: 2026-09-16

Jeon B, Noh CH, Noh SR, et al (2026)

Scenario-Based Serious Game for Screening Mild Cognitive Impairment in Older Adults: Cross-Sectional Preliminary Validation Study.

JMIR serious games, 14:e92334.

BACKGROUND: Many existing digital cognitive assessments rely on isolated or abstract tasks, and primarily use accuracy-based outcome measures, despite recent advances in the field. Few have been culturally adapted to reflect the familiar daily-life experiences of Korean older adults. Integrating culturally meaningful scenarios with task-specific accuracy and reaction time (RT) measures may provide a more ecologically grounded approach to mild cognitive impairment (MCI) screening.

OBJECTIVE: This study aimed to develop and preliminarily evaluate a tablet-based, scenario-based serious game for community-based MCI screening among Korean older adults.

METHODS: In this cross-sectional diagnostic accuracy study, community-dwelling adults aged 60-84 years were recruited through convenience sampling from a senior welfare center in Daejeon, South Korea, between July 2024 and June 2025. Of 87 participants who underwent eligibility assessment, 67 participants were included in the analysis: 47 cognitively normal participants, and 20 participants with MCI. Clinical classification was determined according to Petersen criteria based on the Korean version of the Consortium to Establish a Registry for Alzheimer's Disease battery, second edition, structured clinical interviews, and clinician judgment blinded to the serious game results. The serious game initially comprised 5 culturally familiar and ecologically grounded daily-life tasks, from which task-specific accuracy and RT features were extracted. A reduced 4-task model informed by exploratory misclassification analysis served as the primary classification model and was evaluated using random forest classification with out-of-bag validation. A full 5-task model and a demographic-adjusted model were also evaluated. Convergent validity and perceived workload were assessed.

RESULTS: The group with MCI was older (77.3 vs 74.5 y; P=.002) and had fewer years of education (9.4 vs 11.2 y; P=.04). The primary 4-task model achieved an overall accuracy of 82.1% (55/67), balanced accuracy of 80.1%, sensitivity of 75% (15/20), specificity of 85.1% (40/47), and an area under the receiver operating characteristic curve of 0.787 (95% CI 0.643-0.932). The demographic-adjusted model showed broadly comparable discrimination (area under the receiver operating characteristic curve 0.794, 95% CI 0.654-0.934). Accuracy and RT measures from the sale items task ranked among the most important predictors. Digital composite scores were significantly correlated with the Korean version of the Consortium to Establish a Registry for Alzheimer's Disease battery, second edition total score (r=.655 and r=.447; both P<.001). Perceived workload did not significantly differ between groups (P=.97).

CONCLUSIONS: This study provides preliminary evidence for the diagnostic utility and feasibility of a tablet-based serious game integrating culturally familiar daily-life scenarios with task-specific accuracy and RT measures, thereby capturing both performance accuracy and potential differences in processing efficiency. The automated format may offer a scalable and accessible screening option for community settings without specialized equipment. Independent, multisite, and longitudinal validation is required to establish its generalizability and predictive utility.

RevDate: 2026-09-16

Buron B, Killian T, C Wayland (2026)

Biologic personhood in advanced dementia: An integrative review to guide ethical and evidence-based care in long-term care settings.

Geriatric nursing (New York, N.Y.), 74(Pt A):104305 pii:S0197-4572(26)00510-0 [Epub ahead of print].

This integrative review synthesizes evidence on biologic care interventions for individuals with advanced dementia in long-term care settings. Biologic personhood, as defined by Buron[1], affirms that individuals remain sentient and emotionally expressive even when words and memory are lost, making this dimension of care essential as cognitive and communicative abilities decline. Guided by Whittemore and Knafl's[2] integrative review methodology, this study synthesized 28 peer-reviewed studies published between 2010 and 2025 examining biologic care interventions. Interventions were categorized into five domains: comfort and symptom relief, functional and sensory support, restorative rhythms of daily life, communication and attunement, and environmental safety and autonomy. Across studies, biologic interventions reduce distress, improve comfort, and affirm personhood through relational presence and attuned response. Several studies reframed behaviors often labeled as disruptive into signals of unmet needs requiring understanding rather than control. Despite its clinical and ethical importance, biologic personhood remains systemically underrepresented in person-centered care frameworks that typically emphasize autonomy or memory-based identity. This manuscript, the first in a three-part series, argues that biologic care is foundational to sustaining dignity and comfort when the narrative self is inaccessible. By grounding care in presence, sensation, and attuned nonverbal connection, clinicians uphold human dignity and demonstrate that personhood endures even when language and memory do not.

RevDate: 2026-09-16

Nolt GL, MacLean SM, Golden LR, et al (2026)

Older adult APOE4 mice exhibit modest immunometabolic adaptation following microglial APOE2 replacement.

Neurobiology of aging, 169:13-26 pii:S0197-4580(26)00146-6 [Epub ahead of print].

Apolipoprotein E (APOE) genotype is the strongest genetic determinant of late-onset Alzheimer's disease (AD) risk. Of its three common isoforms, E4 increases AD risk and promotes inflammatory and metabolic dysregulation, whereas E2 is protective and is associated with altered lipid handling and immune function. Microglia express APOE in response to stress or injury and exhibit isoform-dependent transcriptional profiles, but the specific contribution of microglial APOE to these phenotypes remains unclear. Here, we used an inducible APOE "switch" model to selectively replace microglial E4 with E2 in older adult mice while maintaining E4 expression in other CNS and peripheral cells. Following a Western diet, microglial E2 replacement was associated with fewer phago-lysosomal microglia and decreased apoE localization within these phago-lysosomal microglia. Following a peripheral inflammatory stimulus (LPS), microglial E2 replacement was linked with increased expression of metabolic and immune-related pathways. Together, these findings indicate that microglial E2 expression is associated with selective cellular and transcriptional changes while E4 continues to be expressed by other cell types.

RevDate: 2026-09-16

Shkirkova K, Sta Maria NS, Anson H, et al (2026)

Induction of ferroptotic and amyloidogenic signatures linked to Alzheimer's disease by chemically distinct air pollutants.

Redox biology, 97:104390 pii:S2213-2317(26)00389-7 [Epub ahead of print].

Air pollution (AirP) exposure is associated with increased risk of Alzheimer's disease (AD), yet AirP is chemically heterogeneous, complicating identification of shared pathogenic drivers. We compared acute cortical responses to two chemically distinct but metal-rich AirP sources, diesel exhaust particles (DEP) and World Trade Center (WTC) dust, and contrasted them with woodsmoke (WS), a particulate exposure containing substantially lower metal content. Despite major differences in particle composition and size, DEP and WTC elicited highly convergent transcriptomic responses, sharing more than 1200 differentially expressed genes associated with oxidative stress, interferon signaling, ferroptosis, neuronal remodeling, and amyloid processing. These transcriptional changes were accompanied by disrupted glutathione synthesis, altered ferritin-mediated iron storage and heme metabolism, and selective impairment of lipid raft antioxidant defenses, resulting in a 40% increase in lipid raft 4-hydroxynonenal (HNE) with WTC dust with DEP trending similarly, and at least a 65% reduction in phospholipid hydroperoxide detoxification capacity, and 36% increase in the aggregation-prone Aβ42 peptide for both pollution sources. Notably, both exposures produced acute white-matter abnormalities within the corpus callosum despite the absence of bulk brain iron accumulation, indicating that redistribution of bioactive iron rather than total iron burden may be sufficient to promote oxidative injury. In contrast, WS produced a distinct transcriptional profile, lacked coordinated ferroptotic priming, failed to induce lipid peroxidation or Aβ42 accumulation, and showed minimal effects on iron metabolism. Together, these findings identify metal-associated oxidative mechanisms as a convergent pathway linking chemically distinct forms of AirP to ferroptotic vulnerability, amyloidogenic processing, and AD-relevant pathology.

RevDate: 2026-09-16

Kolobaric A, Sinrich JH, Schirda C, et al (2026)

Hippocampal magnetic resonance spectroscopy markers in late life anxiety - a preliminary report.

Psychiatry research. Neuroimaging, 364:112318 pii:S0925-4927(26)00183-6 [Epub ahead of print].

Severe worry and anxiety in late life are linked to increased risk of Alzheimer's disease (AD), but underlying neural mechanisms remain unclear. Severe worry is associated with reduced hippocampal volume. One proposed mechanism is stress-related glutamate excitotoxicity, which may contribute to hippocampal atrophy and cognitive decline. This pilot study examined whether anxiety, worry, and cognitive function are associated with markers of glutamate excitotoxicity, specifically hippocampal glutamate and N-acetyl aspartate (NAA). Eighteen older adults with varying worry underwent 7T magnetic resonance spectroscopy of left and right hippocampus and clinical and cognitive assessments. Linear regression analyses examined associations between anxiety, cognitive performance, and hippocampal metabolites, controlling for volume. Exploratory analyses assessed additional metabolites, including creatine, gamma-aminobutyric acid (GABA), glutathione, and myo-inositol. Greater worry severity and lower overall cognitive function were associated with reduced hippocampal NAA levels. Higher global anxiety was associated with lower hippocampal glutamate. Exploratory analyses revealed additional relationships between other metabolites and both mood symptoms and cognition. These preliminary findings suggest hippocampal metabolic markers may play a role in late-life anxiety and worry. However, results provide only partial support for glutamate excitotoxicity as a mechanism linking anxiety to cognitive impairment, highlighting the need for larger studies.

RevDate: 2026-09-16

Zhang C, Z Yang (2026)

The Double-Edged Sentinel: cGAS-STING as a Context-Dependent Regulator of Microglial Senescence and Neuronal Genotoxic Stress in Neurodegeneration.

Brain research bulletin pii:S0361-9230(26)00405-3 [Epub ahead of print].

BACKGROUND: Neurodegenerative diseases may continue to progress even when a pathogenic protein aggregate is reduced, suggesting that downstream inflammatory and genotoxic circuits can become partly autonomous. This narrative review examines cGAS-STING as a context-dependent regulator of DNA-stress responses in the ageing and proteinopathic brain.

METHODS: PubMed/MEDLINE, Scopus, Web of Science, and Google Scholar were searched for mechanistic, translational, and human-tissue studies of cGAS-STING, DNA damage, mitochondrial quality control, neuroinflammation, and major neurodegenerative diseases. Evidence was separated into biochemical or cellular, animal, and human observations, and contradictory findings were retained.

RESULTS: Mitochondrial DNA leakage is a recurrent candidate trigger, while activity-induced nuclear DNA breaks, defective repair, retrotransposon-derived cDNA, and micronuclear rupture provide conditional inputs. Microglial evidence is currently more extensive and causally developed than neuron-specific evidence; neuronal STING is most firmly supported in selected contexts such as excitotoxic or ischemic stress. Across Alzheimer disease, Parkinson disease, ALS/FTD, multiple sclerosis, and Huntington disease, cGAS-STING-associated inflammation is plausible but not uniform, and human validation remains limited. Therapeutic strategies therefore require cell-, source-, and stage-aware modulation rather than indiscriminate pathway ablation.

CONCLUSION: cGAS-STING is best regarded as a testable kinetic-bottleneck model, not a universal driver of neurodegeneration. Longitudinal human studies and cell-resolved biomarkers are needed to determine when recalibration can suppress pathological inflammation while preserving antiviral and homeostatic functions.

RevDate: 2026-09-16

Wu B, Jiang Z, Lv J, et al (2026)

Adaptive hypergraph learning reveals high-order functional network alterations in mild cognitive impairment.

Neuroscience pii:S0306-4522(26)00626-3 [Epub ahead of print].

Mild cognitive impairment (MCI) is an important prodromal stage of Alzheimer's disease, and its early identification is critical for risk assessment and timely intervention. Resting-state functional magnetic resonance imaging (rs-fMRI) can noninvasively characterize brain functional activity and connectivity. However, most existing methods rely on static second-order functional connectivity, limiting their ability to capture dynamic coordination and high-order interactions among multiple brain regions. To address these limitations, we propose a brain functional network analysis framework integrating multi-scale temporal feature fusion with adaptive high-order hypergraph convolution. Specifically, the multi-scale temporal fusion module captures functional dynamics at different temporal resolutions, while the adaptive hypergraph convolutional network learns high-order associations among brain regions in an end-to-end manner. Spatiotemporal feature encoding is further incorporated to facilitate automatic MCI identification. The proposed framework was evaluated using rs-fMRI data from the ADNI dataset, with regional BOLD time series extracted based on the AAL atlas. Under five-fold cross-validation, the proposed method achieved an accuracy of 82.66%, a sensitivity of 82.07%, and a specificity of 83.07% on ADNI-2, while maintaining an accuracy of 81.50% on ADNI-3, outperforming existing methods on both datasets. Further analysis identified abnormal high-order coordination patterns involving the default mode network, limbic system, and hippocampus-related memory circuits in patients with MCI. These findings provide methodological support for the early identification of MCI and the discovery of potential neuroimaging biomarkers.

RevDate: 2026-09-16

Zhu H, Wang X, J Shao (2026)

Unlocking the role of fungal peptide cytotoxin candidalysin in candidiasis and non-candidiasis diseases.

Biochimie pii:S0300-9084(26)00223-3 [Epub ahead of print].

Candida albicans is a commonly encountered opportunistic fungus that can cause both superficial discomforts and life-threatening invasive fungal infections. Ever-increasing reports have shown that C. albicans is also readily implicated in a set of metabolic and autoimmune diseases. Yeast-to-hypha transition is a hallmark of increased virulence and invasion of C. albicans, and candidalysin is the first peptide toxin secreted by C. albicans hyphae. Candidalysin contributes to fungal penetration across epithelial barrier via cytolytic activity, as well as the maintenance of commensalism and pathogenicity of Candida albicans. To specifically depict the role of candidalysin in multiple candidiasis and C. albicans associated infections, in this review, we focus on the recent advancements of candidalysin in oropharyngeal candidiasis (OPC), vulvovaginal candidiasis (VVC), disseminated candidaemia and sepsis. Meanwhile, we also pay close attention to the potential pathogenic mechanism of candidalysin in several C. albicans associated diseases including inflammatory bowel disease (IBD), asthma, Alzheimer's disease (AD) and alcohol-associated liver diseases (ALD). Based on these achievements, we propose a list of unresolved questions of interest for future investigation on biological functions and therapeutic potential of candidalysin in fungal infections caused by C. albicans. Unlocking the mode of action of candidalysin is beneficial for deep understanding of how C. albicans breaks through mucosal or blood brain barrier to colonize the niche via candidalysin and for rational design of fungal vaccine against candidalysin for clinical applications. Q1: Revision based on the comment 1 by Reviewer 1.

RevDate: 2026-09-16

Radeen KR, Hao C, Wei Z, et al (2026)

β-Amyloid and Glutathione Dysregulation Cooperatively Drive Lipid Peroxidation and Ferroptosis in Neuron-Like Cells.

Free radical biology & medicine pii:S0891-5849(26)01159-7 [Epub ahead of print].

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by β-amyloid (Aβ) accumulation and oxidative stress, with aging being its greatest risk factor. Age-related glutathione (GSH) depletion may increase neuronal vulnerability to Aβ toxicity, but the underlying mechanisms remain unclear. Here, we investigated how impaired GSH homeostasis influences Aβ-associated neuronal injury. Human SH-SY5Y cells expressing either wild-type APP695 or the familial AD-associated APPSwe/Ind mutant were subjected to GSH depletion using complementary pharmacological (buthionine sulfoximine and dimethyl fumarate) and genetic (GCLC knockout) approaches. GSH depletion markedly sensitized APPSwe/Ind-expressing cells to ferroptotic cell death, characterized by increased lipid peroxidation, elevated malondialdehyde and 4-hydroxynonenal levels, enhanced lactate dehydrogenase release, increased transferrin receptor-1 expression, and intracellular iron accumulation. Cell death was prevented by ferrostatin-1, liproxstatin-1, and the iron chelator deferoxamine, but not by the pan-caspase inhibitor Z-VAD-FMK, confirming an iron-dependent ferroptotic mechanism. Similar findings were observed following co-treatment with Aβ oligomers and GSH depletion. Mechanistically, combined Aβ stress and GSH depletion were associated with increased chaperone-mediated autophagy (CMA) activity and reduced GPX4 protein levels. A photoactivatable CMA reporter demonstrated enhanced CMA activity and increased colocalization of GPX4 with CMA-associated puncta. Pharmacological inhibition of lysosomal function with bafilomycin A1 or treatment with the CMA inhibitor polyphyllin D rescued cell viability under these conditions. Collectively, these findings suggest a potential association among CMA activation, reduced GPX4 abundance, and increased susceptibility to ferroptotic cell death, providing new insight into how age-related redox imbalance may contribute to neuronal vulnerability in AD.

RevDate: 2026-09-17

Knezovic A, Krsnik A, Homolak J, et al (2026)

From systems to cells: Metabolic mechanisms underlying risk divergence in Alzheimer's disease and amyotrophic lateral sclerosis.

Neuroscience and biobehavioral reviews, 191:106982 pii:S0149-7634(26)00439-2 [Epub ahead of print].

Epidemiological studies show an inverse relationship between metabolic disorders and two major neurodegenerative diseases, Alzheimer's disease (AD) and amyotrophic lateral sclerosis (ALS). Obesity, type 2 diabetes (T2DM), and reduced physical activity increase AD risk, whereas in ALS cardiometabolic factors, particularly T2DM, show inverse, age-dependent associations with disease risk. This review integrates epidemiological, clinical, and experimental evidence to suggest that cell-type-specific energy metabolism underlies these contrasting risk profiles. Neurons and skeletal muscle differ in metabolic organization, substrate use, and redox capacity. Neurons rely mainly on glucose and lactate and have limited fatty acid oxidation, making them vulnerable to lipid overload, insulin resistance, and oxidative stress, hallmarks of AD. In contrast, skeletal muscle is metabolically flexible, efficiently oxidizes fatty acids, and has strong antioxidant defenses, which may protect against ALS. These cell-type-specific metabolic profiles are proposed to causally shape disease susceptibility: neuronal lipid overload and impaired redox homeostasis promote amyloid and tau pathology in AD, whereas preserved muscle fatty acid oxidation and antioxidant capacity support neuromuscular junction stability and delay motor neuron degeneration in ALS. Hypermetabolism, hypothalamic dysfunction, glial-neuronal coupling and lactate shuttling may further shape disease susceptibility. Overall, these patterns likely reflect distinct cellular responses to metabolic stress.

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RJR Experience and Expertise

Researcher

Robbins holds BS, MS, and PhD degrees in the life sciences. He served as a tenured faculty member in the Zoology and Biological Science departments at Michigan State University. He is currently exploring the intersection between genomics, microbial ecology, and biodiversity — an area that promises to transform our understanding of the biosphere.

Educator

Robbins has extensive experience in college-level education: At MSU he taught introductory biology, genetics, and population genetics. At JHU, he was an instructor for a special course on biological database design. At FHCRC, he team-taught a graduate-level course on the history of genetics. At Bellevue College he taught medical informatics.

Administrator

Robbins has been involved in science administration at both the federal and the institutional levels. At NSF he was a program officer for database activities in the life sciences, at DOE he was a program officer for information infrastructure in the human genome project. At the Fred Hutchinson Cancer Research Center, he served as a vice president for fifteen years.

Technologist

Robbins has been involved with information technology since writing his first Fortran program as a college student. At NSF he was the first program officer for database activities in the life sciences. At JHU he held an appointment in the CS department and served as director of the informatics core for the Genome Data Base. At the FHCRC he was VP for Information Technology.

Publisher

While still at Michigan State, Robbins started his first publishing venture, founding a small company that addressed the short-run publishing needs of instructors in very large undergraduate classes. For more than 20 years, Robbins has been operating The Electronic Scholarly Publishing Project, a web site dedicated to the digital publishing of critical works in science, especially classical genetics.

Speaker

Robbins is well-known for his speaking abilities and is often called upon to provide keynote or plenary addresses at international meetings. For example, in July, 2012, he gave a well-received keynote address at the Global Biodiversity Informatics Congress, sponsored by GBIF and held in Copenhagen. The slides from that talk can be seen HERE.

Facilitator

Robbins is a skilled meeting facilitator. He prefers a participatory approach, with part of the meeting involving dynamic breakout groups, created by the participants in real time: (1) individuals propose breakout groups; (2) everyone signs up for one (or more) groups; (3) the groups with the most interested parties then meet, with reports from each group presented and discussed in a subsequent plenary session.

Designer

Robbins has been engaged with photography and design since the 1960s, when he worked for a professional photography laboratory. He now prefers digital photography and tools for their precision and reproducibility. He designed his first web site more than 20 years ago and he personally designed and implemented this web site. He engages in graphic design as a hobby.

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Collection of publications by R J Robbins

Reprints and preprints of publications, slide presentations, instructional materials, and data compilations written or prepared by Robert Robbins. Most papers deal with computational biology, genome informatics, using information technology to support biomedical research, and related matters.

Research Gate page for R J Robbins

ResearchGate is a social networking site for scientists and researchers to share papers, ask and answer questions, and find collaborators. According to a study by Nature and an article in Times Higher Education , it is the largest academic social network in terms of active users.

Curriculum Vitae for R J Robbins

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Curriculum Vitae for R J Robbins

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