Gang Zheng, Qing Chang, Yixiao Zhang, Yashu Liu, Chao Ji, Honghao Yang, Liangkai Chen, Yang Xia, Yuhong Zhao
{"title":"基于临床参数的加速衰老、遗传易感性与慢性肾脏病风险及相关预期寿命的关联:前瞻性队列研究。","authors":"Gang Zheng, Qing Chang, Yixiao Zhang, Yashu Liu, Chao Ji, Honghao Yang, Liangkai Chen, Yang Xia, Yuhong Zhao","doi":"10.1111/acel.14453","DOIUrl":null,"url":null,"abstract":"<p><p>Little evidence exists regarding the associations between clinical parameter-based 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-BA 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-specific 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<sub>Quartile 4 vs. Quartile 1</sub>, 1.90; 95% CI, 1.77-2.05 for KDM-BA acceleration and HR<sub>Quartile 4 vs. Quartile 1</sub>, 2.79; 95% CI, 2.58-3.01 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.</p>","PeriodicalId":119,"journal":{"name":"Aging Cell","volume":" ","pages":"e14453"},"PeriodicalIF":8.0000,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Associations of clinical parameter-based accelerated aging, genetic predisposition with risk of chronic kidney disease and associated life expectancy: A prospective cohort study.\",\"authors\":\"Gang Zheng, Qing Chang, Yixiao Zhang, Yashu Liu, Chao Ji, Honghao Yang, Liangkai Chen, Yang Xia, Yuhong Zhao\",\"doi\":\"10.1111/acel.14453\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Little evidence exists regarding the associations between clinical parameter-based 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-BA 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-specific 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<sub>Quartile 4 vs. Quartile 1</sub>, 1.90; 95% CI, 1.77-2.05 for KDM-BA acceleration and HR<sub>Quartile 4 vs. Quartile 1</sub>, 2.79; 95% CI, 2.58-3.01 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.</p>\",\"PeriodicalId\":119,\"journal\":{\"name\":\"Aging Cell\",\"volume\":\" \",\"pages\":\"e14453\"},\"PeriodicalIF\":8.0000,\"publicationDate\":\"2024-12-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aging Cell\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1111/acel.14453\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aging Cell","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1111/acel.14453","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
Associations of clinical parameter-based accelerated aging, genetic predisposition with risk of chronic kidney disease and associated life expectancy: A prospective cohort study.
Little evidence exists regarding the associations between clinical parameter-based 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-BA 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-specific 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 (HRQuartile 4 vs. Quartile 1, 1.90; 95% CI, 1.77-2.05 for KDM-BA acceleration and HRQuartile 4 vs. Quartile 1, 2.79; 95% CI, 2.58-3.01 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.
Aging CellBiochemistry, Genetics and Molecular Biology-Cell Biology
自引率
2.60%
发文量
212
期刊介绍:
Aging Cell is an Open Access journal that focuses on the core aspects of the biology of aging, encompassing the entire spectrum of geroscience. The journal's content is dedicated to publishing research that uncovers the mechanisms behind the aging process and explores the connections between aging and various age-related diseases. This journal aims to provide a comprehensive understanding of the biological underpinnings of aging and its implications for human health.
The journal is widely recognized and its content is abstracted and indexed by numerous databases and services, which facilitates its accessibility and impact in the scientific community. These include:
Academic Search (EBSCO Publishing)
Academic Search Alumni Edition (EBSCO Publishing)
Academic Search Premier (EBSCO Publishing)
Biological Science Database (ProQuest)
CAS: Chemical Abstracts Service (ACS)
Embase (Elsevier)
InfoTrac (GALE Cengage)
Ingenta Select
ISI Alerting Services
Journal Citation Reports/Science Edition (Clarivate Analytics)
MEDLINE/PubMed (NLM)
Natural Science Collection (ProQuest)
PubMed Dietary Supplement Subset (NLM)
Science Citation Index Expanded (Clarivate Analytics)
SciTech Premium Collection (ProQuest)
Web of Science (Clarivate Analytics)
Being indexed in these databases ensures that the research published in Aging Cell is discoverable by researchers, clinicians, and other professionals interested in the field of aging and its associated health issues. This broad coverage helps to disseminate the journal's findings and contributes to the advancement of knowledge in geroscience.