CardioMetAge estimates cardiometabolic aging and predicts disease outcomes.

ABSTRACT:

Background

Existing aging clocks, designed to quantify biological aging, primarily capture systemic changes and may overlook alterations crucial for cardiometabolic diseases (CMDs).

Methods

In this study, we developed the CardioMetAge model, an aging clock tailored to predict CMD-related outcomes. Trained in the NHANES-III, the model was applied to the continuous NHANES and UK Biobank. Its associations with cardiometabolic mortality, disease incidence, and transitions between disease states were examined, and its performance in predicting 10-year CMD incidence was also evaluated. We further investigated associations of proteomic pathways, lifestyle factors, and socioeconomic status with CardioMetAge, as well as the impact of caloric restriction intervention on its change.

SUBMITTER: Li Y 

PROVIDER: S-EPMC12947333 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature