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Faster changes in epigenetic clocks over time were linked to higher death risk

A study · Nature aging · Mar 14, 2026

What this means

Researchers followed 699 adults for up to 24 years and tracked how fast their aging clocks changed. People whose clocks sped up more were more likely to die. This study shows a link, not proof that the clock changes cause death.

Plain-English summary written by an AI model from the abstract. The original is below.

Tested inPeople
Who it was tested in
699 adults from the InCHIANTI cohort
Kind of research
A study

The science

Original title
Longitudinal changes in epigenetic clocks predict survival in the InCHIANTI cohort.
Authors
Kuo PL, Moore AZ, Tanaka T et al.
Journal
Nature aging
Published
Mar 14, 2026
Study type
Study · in humans

Abstract

Epigenetic clocks derived from DNA methylation patterns are among the most promising biomarkers of biological aging1-7, as they capture molecular signatures that predict morbidity and mortality beyond chronological age. Although cross-sectional assessments of epigenetic age have been linked consistently to health outcomes and lifespan, it remains unclear whether the rate of change in these clocks over time provides additional insight into aging trajectories. In this longitudinal study of 699 adults from the InCHIANTI cohort followed for up to 24 years, we evaluated whether temporal acceleration of several epigenetic clocks-including first-, second- and third-generation epigenetic clocks-was associated with mortality. We found that faster increases in several clocks were linked robustly to higher risk of death, independent of baseline epigenetic age and other confounders. These findings suggest that dynamic changes in epigenetic aging reflect evolving health status and may serve as sensitive indicators for interventions aimed at extending healthspan and longevity.

Read it on PubMed ↗

Kuo PL, Moore AZ, Tanaka T et al. Longitudinal changes in epigenetic clocks predict survival in the InCHIANTI cohort. Nature aging. 2026. doi:10.1038/s43587-026-01066-6. PMID: 41826710. https://pubmed.ncbi.nlm.nih.gov/41826710/

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