Multi-organ metabolome biological age implicates cardiometabolic conditions and mortality risk.

ABSTRACT: Multi-organ biological aging clocks across different organ systems have been shown to predict human disease and mortality. Here, we extend this multi-organ framework to plasma metabolomics, developing five organ-specific metabolome-based biological age gaps (MetBAGs) using 107 plasma non-derivatized metabolites from 274,247 UK Biobank participants. Our age prediction models achieve a mean absolute error of approximately 6 years (0.25-8/5). Using SBayesS, we estimate the SNP-based heritability (0.09< hSNP2  < 0.18), negative selection s

SUBMITTER: MULTI consortium 

PROVIDER: S-EPMC12106725 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature