A Novel Longitudinal Proteomic Aging Index Predicts Mortality, Multimorbidity, and Frailty in Older Adults.

ABSTRACT: Previous studies have developed proteomic aging clocks to estimate biological age and predict mortality and age-related diseases. However, these earlier clocks were based on cross-sectional data, capturing only the cumulative aging burden at a single time point but were unable to reflect the dynamic trajectory of biological aging over time. We constructed a longitudinal proteomic aging index (LPAI) using data from 4684 plasma proteins measured by the SomaScan 5K Array across three visits in the Atherosclerosis Risk in Communities (ARIC) study (ages 67-90 at last visit). Our two-step approach applied functional principal component analysis (FPCA) to capture protein-level change patterns over time, followed by elastic net penalized Cox regression for protein selection. LPAI was constructed i

SUBMITTER: Rao Z 

PROVIDER: S-EPMC12741248 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature