Each study has a usefulness score out of 100 (rubric version 4.0). Tap a score to see what makes it up.
Highest usefulness score first. Studies without a score come last.
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Aging is the greatest risk factor for Alzheimer's disease (AD), yet how and when AD-related pathological progression diverges from aging remains poorly understood.
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The apolipoprotein E ε4 (APOE4) allele is the strongest genetic risk factor for developing sporadic Alzheimer’s disease (AD), which accounts for the vast majority of AD cases.
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16/100
Alzheimer’s disease (AD) is the most prevalent neurodegenerative disorder, and its incidence is rising rapidly with population aging.
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16/100
Frontotemporal dementia (FTD) caused by progranulin (GRN) mutations is associated with pronounced thalamic degeneration, yet the cellular basis of selective thalamic vulnerability remains poorly understood.
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The Amaryllidaceae geophyte Lycoris radiata is a primary botanical source of high-value medicinal alkaloids, including the Alzheimer’s therapeutic galanthamine.
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Sensitive human data underpin discoveries across medicine, biology and the social sciences, yet privacy regulation often prevents sharing them with collaborators or artificial intelligence (AI) systems.
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The apolipoprotein E ε4 ( APOE ε4) allele is the strongest genetic risk factor for late-onset Alzheimer’s disease (AD), yet its associated protein changes across biofluids, brain regions, and cell types remain incompletely understood.
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Validated on synthetic ground truth, the audit separates a generalizable anchor (PTGDS) from a dataset-specific signal and a global-expression artefact, providing a reusable control for trajectory-based molecular staging.
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MTHFR C677T homozygosity was independently associated with vascular dementia (OR 3.2; 95% CI 1.1–8.9; p=0.027) and showed clustering with cognitive impairment.
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Consequently, changes in mitochondrial DNA copy number (mtDNA-CN), the number of mtDNA genomes per cell or tissue sample, are associated with diseases ranging from cancer and obesity to psoriasis and all-cause mortality.
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These findings implicate significant liver–brain crosstalk through which chronic alcohol exposure may modulate AD-relevant pathology and reinforce the growing recognition of the liver as a critical organ in AD pathogenesis.
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APOE3 Ch -associated resilience is measurably reflected in plasma biomarker trajectories, indicating attenuation of both neuroinflammatory and neurodegenerative processes.
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Gut microbiome differences in Alzheimer’s disease (AD) are typically cataloged taxon by taxon, yet bacterial competition and cross-feeding make species’ roles dependent on the entire community.
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The MoE-derived DNN-IR index demonstrated robust and stable performance in predicting atherosclerosis, incident CVD, cardiovascular mortality, and all-cause mortality in the general population.
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Alzheimer’s disease pathology and cognitive outcomes frequently diverge, yet current single-axis definitions cannot identify resilient (high pathology, preserved cognition) and resistant (high risk, low pathology) subgroups reliably at scale, obscuring the mechanisms that uncouple pathological burden from cognitive decline.
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Neuroticism, a personality trait characterized by the predisposition to experience intense and frequent negative emotions, has been associated with an increased risk of Alzheimer’s disease (AD).
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INTRODUCTIONLittle is understood about the extent to which lifestyle factors can advance or delay the risk of developing dementia, and whether that is dependent on non-modifiable factors, e.g. sex and genetic susceptibility.METHODSAmong 224,516 UK Biobank participants aged ≥50 years at baseline, Cox regression examined the relations of apolipoprotein E gene (APOE) genotypes, and lifestyle with incident dementia.
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Event-based models (EBMs) are used to infer ordering of biomarker alteration patterns with respect to disease progression.
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These findings shift AD modeling from passive proteotoxicity to an active, misregulated developmental structural engine, offering a mechanical framework that explains early olfactory vulnerability and non-linear anti-tau clinical trial responses.
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The retina displayed earlier and broader AD-related molecular alterations than the hippocampus.
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Middle-aged adults with faster 15-year epigenetic aging trajectories demonstrated worse cognitive performance, whereas those with slower biological aging trajectories exhibited cognitive resilience and more favorable AD biomarker profiles.
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Dementia is a progressive condition that impairs cognitive processes such as memory, decision-making, and the ability to manage daily activities.
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This study demonstrated MMSE scores can be systematically extracted and curated from the VA EHR.
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Genetic risks were primarily associated with Aβ and tau pathology, clinical risks with neurodegeneration, and SDoH risks with cognition, suggesting that risk factors exert differential effects on AD pathophysiology.
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The unsupervised machine learning pipeline successfully identified a composite genetic cluster that emerged as an influential predictor in terms of relative magnitude ( η p 2 ).
From across this topic
10 of the 933 studies in this topic, picked by a fixed rule (a hash of each study's address), not by score or date; each page of this list shows a different 10. The same 10 appear here every time.
- Alzheimer's Disease Risk Factor APOE4 Exerts Dimorphic Effects on Female Bone
- Genome-wide association study of hippocampal atrophy rate in non-demented elders
- Rare autosomal copy number variations in early-onset familial Alzheimer's disease
- Convergent genetic and expression data implicate immunity in Alzheimer's disease
- Blood DNA Methylation Patterns in Older Adults With Evolving Dementia
- Handedness, language areas and neuropsychiatric diseases: insights from brain imaging and genetics
- Improving the Utility of Polygenic Risk Scores as a Biomarker for Alzheimer's Disease
- Genome-wide DNA methylation profiling in the superior temporal gyrus reveals epigenetic signatures associated with Alzheimer's disease
- Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning
- Genetics of Alzheimer's disease: where we are, and where we are going