A seven-year longitudinal study of the Alzheimer's disease blood metabolome.

ABSTRACT: Metabolic dysregulation is a hallmark of Alzheimer's disease (AD), yet the temporal nature of metabolite-phenotype associations remains poorly understood. We systematically evaluated 506 serum metabolites across 4,063 longitudinal samples from 1,430 participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI), applying cross-sectional single-timepoint analyses, multi-timepoint meta-analysis, and time-interaction analysis. Across 15 AD-related phenotypes, we identified 311 metabolites to be significantly associated with disease. Of those, 281 emerged from the multi-timepoint meta-analysis, 243 (216 overlapping/27 additional) from cross-sectional analyses, and 19 (16 overlapping/3 additional) metabolites that showed a significant evolution of their association with AD over time. In

SUBMITTER: Marella B 

PROVIDER: S-EPMC12706616 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature