Multivariate patterns of plasma biomarkers predict region-specific Alzheimer's pathology and cognitive decline across independent cohorts - PubMed
7 hours ago
- #Alzheimer's disease
- #predictive models
- #plasma biomarkers
- Multivariate patterns of plasma biomarkers predict region-specific Alzheimer's pathology and cognitive decline.
- Alzheimer's disease (AD) is characterized by amyloid-beta plaques, tau tangles, and neurodegeneration (ATN framework).
- Blood-based biomarkers offer scalable, cost-effective alternatives to neuroimaging for early detection of AD.
- Plasma biomarkers (Aβ42/Aβ40, p-tau217, p-tau181, NfL, GFAP) predict amyloid burden, tau pathology, neurodegeneration, and memory decline.
- Specific biomarker combinations predict amyloid in the precuneus, tau in the entorhinal cortex, and hippocampal atrophy.
- Models trained in one cohort accurately predicted outcomes in another, confirming cross-cohort generalizability.
- Plasma signatures reflect underlying AD pathways, supporting their use for early detection and disease monitoring.