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RESEARCH PAPER / 2026-05-25

Evaluation of kidney biological age based on IgG N-glycosylation profiles and its association with chronic kidney disease in the context of predictive, preventive and personalized medicine.

Haotian Liu, Shiyun Lv, Haibin Li, Runhuang Yang, Yixing Tian, Jinqi Wang, Xia Li, Shuo Chen, Guohong Zhang, Xiuhua Guo

Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069 China. · pubmed

Abstract

Chronic kidney disease (CKD) is associated with premature aging, which reflects in the difference between biological age and chronological age. Immunoglobulin G (IgG) N-glycosylation profiles have emerged as promising biomarkers for biological aging. From the perspective of predictive, preventive, and personalized medicine (PPPM/3PM), we assumed that the evaluation of kidney-specific biological age based on IgG N-glycosylation profiles provides a better tool for targeted prevention and personalized intervention of CKD by monitoring kidney aging.

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

The paper claims that evaluating kidney-specific biological age through IgG N-glycosylation profiles can enhance targeted prevention and personalized intervention for chronic kidney disease. This research is relevant as it addresses biological aging mechanisms and their implications for age-related diseases, specifically focusing on kidney health and potential interventions.

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