Association and Predictive Value of Biological Aging for Chronic Kidney Disease Risk in Diabetes: Cross-Cohort Validation across UK and China.

Yiting Wu, Hao Xiang, Yu Huang, Yuanyuan Zhang, Ziliang Ye, Yanjun Zhang, Sisi Yang, Xiaoqin Gan, Yiwei Zhang, Chen Dan, Xianglian Cai, Xiaolong Liang, Sheng Nie, Fan Fan Hou, Xianhui Qin

Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney and Urological Disease; State Key Laboratory of Multi-organ Injury Prevention and Treatment; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China.Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney and Urological Disease; State Key Laboratory of Multi-organ Injury Prevention and Treatment; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China. · pubmed

Paper

Abstract

Biological aging (BA) may influence chronic kidney disease (CKD) development. We evaluated the association of accelerated BA-quantified using Klemera-Doubal method biological age (KDM-BA) and phenotypic age (PhenoAge)-with incident CKD, and assessed its predictive value beyond conventional risk factors (CKD Prediction Consortium [CKD-PC] model) in participants with diabetes.

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Research summary

The paper claims that biological aging metrics can predict the risk of chronic kidney disease in diabetic patients. This research is relevant as it explores biological aging as a potential underlying factor in age-related diseases, contributing to the understanding of aging mechanisms and their implications for longevity.

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