Decoding sexually dimorphic proteomic landscapes in the context of aging and mortality.

ABSTRACT:

Background

Aging-associated changes are major contributors to the onset and progression of chronic diseases. Different aging clocks have been developed to assess biological aging, demonstrating their utility in predicting mortality, diagnosing disease, and evaluating the efficacy of antiaging interventions. However, the protein profile underlying the accelerating or decelerating rates of aging, hidden behind aging clocks, remains poorly understood.

Method

Based on the UK Biobank (n = 53, 013; age range 39-71 years; 53.9% men and 46.1% women), we built a proteomic-based aging clock, ProteAge, and assessed its performance in predicting all-cause mortality. Sex-specific aging trajectories and aging rate-associated proteins (ARPs) were identified.

Results

ProteAge reveals

SUBMITTER: Jin Z 

PROVIDER: S-EPMC12479788 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature