Comparison of cerebrospinal fluid, plasma and neuroimaging biomarker utility in Alzheimer's disease.

ABSTRACT: Alzheimer's disease biomarkers are crucial to understanding disease pathophysiology, aiding accurate diagnosis and identifying target treatments. Although the number of biomarkers continues to grow, the relative utility and uniqueness of each is poorly understood as prior work has typically calculated serial pairwise relationships on only a handful of markers at a time. The present study assessed the cross-sectional relationships among 27 Alzheimer's disease biomarkers simultaneously and determined their ability to predict meaningful clinical outcomes using machine learning. Data were obtained from 527 community-dwelling volunteers enrolled in studies at the Charles F. and Joanne Knight Alzheimer Disease Research Center at Washington University in St Louis. We used hierarchical clustering

SUBMITTER: Meeker KL 

PROVIDER: S-EPMC10950051 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature