Plasma Proteomics Reveals Biomarkers and Undulating Changes in Metabolic Aging.

ABSTRACT: Large-scale proteomics enables the identification of biomarkers and undulations in metabolic aging. This study aimed to develop a metabolic age (MA) and identify proteomic biomarkers and their undulating changes during metabolic aging. Using UK Biobank data, MA was developed from mortality-associated metabolomic profiles (nuclear magnetic resonance platform) in 203,491 participants. Associations between 2,923 plasma proteins (Olink Explore 3072 platform) and metabolic aging phenotypes, including MA, telomere length, frailty index, incident type 2 diabetes, cardiovascular disease, and mortality, were examined in 24,920 participants via Cox proportional hazards or linear models. Differential expression-sliding window analysis captured protein waves during metabolic aging in 7,092 participant

SUBMITTER: Zhang J 

PROVIDER: S-EPMC12678049 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature