Influence of physical activity on the epigenetic clock: evidence from a Japanese cross-sectional study.

ABSTRACT:

Background

Biological age, especially epigenetic age derived from the epigenetic clock, is a significant measure of aging, considering the differences in aging rates among individuals. The epigenetic clock, a machine learning-based algorithm, uses DNA methylation states to estimate biological age. Previous studies have reported inconsistent associations between physical activity (PA) and the epigenetic clock, especially second-generation clocks such as PhenoAge and GrimAge. This study aimed to clarify this relationship using cross-sectional data from Japanese participants aged 40-69.

Methods

We used two datasets from the Saga J-MICC study, of which 867 samples were available for analysis. DNA methylation data from peripheral blood samples were used to calculate the epigeneti

SUBMITTER: Nagata M 

PROVIDER: S-EPMC11481432 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature