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RESEARCH PAPER / 2026-05-21

Epigenetic age enhances eGFR-based prediction of all-cause mortality: A cross-cohort validation of a novel risk model.

Xinyu Wang, Lu Song, Qin Lv, Li Li, Qiao Wang, Chunli Liu, Meiyu Chen, Feifei Liu, Yaling Yu, Ying Shen, Jianchen Cui, Yaxi Zhao, Qinyuan Deng

Not available · pubmed

Abstract

Chronic kidney disease and biological aging share overlapping mechanisms, but conventional risk models may not adequately capture their combined impact on mortality. This study aimed to determine whether integrating DNA methylation-based biological age (epigenetic age) with renal function estimates could enhance mortality risk prediction.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

Integrating epigenetic age with eGFR improves mortality risk prediction. This research addresses the intersection of biological aging and chronic kidney disease, which is pertinent to understanding aging mechanisms and their impact on longevity.

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