{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T15:22:44Z","timestamp":1792164164313,"version":"4.4.0"},"reference-count":44,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2024,12,24]],"date-time":"2024-12-24T00:00:00Z","timestamp":1734998400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Aging Cell"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Little evidence exists regarding the associations between clinical parameter\u2010based biological aging and the incidence and outcome of chronic kidney disease (CKD). Thus, we aimed to assess the associations between biological aging, genetic risk, and the risk of CKD, as well as investigate the impact of accelerated biological aging on life expectancy. 281,363 participants free of kidney diseases from the UK Biobank were included in this prospective study. Biological age was measured from clinical traits using the KDM\u2010BA and PhenoAge algorithms, and the discrepancies from chronological age were defined as biological age accelerations. A polygenic score was calculated to indicate the genetic predisposition of the estimated glomerular filtration rate (eGFR). A cause\u2010specific competing risk model was used to estimate hazard ratios (HRs) and the corresponding confidence intervals (CIs) of incident CKD. We found that individuals with more pronounced accelerations in biological age exhibited an elevated risk of developing CKD (HR\n                    <jats:sub>Quartile 4 vs. Quartile 1<\/jats:sub>\n                    , 1.90; 95% CI, 1.77\u20132.05 for KDM\u2010BA acceleration and HR\n                    <jats:sub>Quartile 4 vs. Quartile 1<\/jats:sub>\n                    , 2.79; 95% CI, 2.58\u20133.01 for PhenoAge acceleration), with nonlinear relationships. Notably, there were positive additive interactions between biological aging and genetic risk on CKD risk. Among the CKD population, accelerated biological aging was associated with a further decline in life expectancy. Advanced biological aging may potentially increase the vulnerability to developing CKD in individuals aged midlife and beyond, particularly among those with high genetic risk for abnormal kidney function, and could reduce the life expectancy of CKD patients.\n                  <\/jats:p>","DOI":"10.1111\/acel.14453","type":"journal-article","created":{"date-parts":[[2024,12,24]],"date-time":"2024-12-24T04:35:21Z","timestamp":1735014921000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Associations of clinical parameter\u2010based accelerated aging, genetic predisposition with risk of chronic kidney disease and associated life expectancy: A prospective cohort study"],"prefix":"10.1111","volume":"24","author":[{"given":"Gang","family":"Zheng","sequence":"first","affiliation":[{"name":"Department of Clinical Epidemiology Shengjing Hospital of China Medical University, China Medical University  Shenyang 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China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Ji","sequence":"additional","affiliation":[{"name":"Department of Clinical Epidemiology Shengjing Hospital of China Medical University, China Medical University  Shenyang China"},{"name":"Key Laboratory of Precision Medical Research on Major Chronic Disease  Shenyang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Honghao","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Clinical Epidemiology Shengjing Hospital of China Medical University, China Medical University  Shenyang China"},{"name":"Key Laboratory of Precision Medical Research on Major Chronic Disease  Shenyang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liangkai","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College Huazhong University of Science and Technology  Wuhan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8783-1592","authenticated-orcid":false,"given":"Yang","family":"Xia","sequence":"additional","affiliation":[{"name":"Department of Clinical Epidemiology Shengjing Hospital of China Medical University, China Medical University  Shenyang China"},{"name":"Key Laboratory of Precision Medical Research on Major Chronic Disease  Shenyang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6806-521X","authenticated-orcid":false,"given":"Yuhong","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Clinical Epidemiology Shengjing Hospital of China Medical University, China Medical University  Shenyang China"},{"name":"Key Laboratory of Precision Medical Research on Major Chronic Disease  Shenyang 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