Abstract
朱紫微,程珊珊,程翔,陈卫红,王超龙.基于生物组学数据的衰老时钟研究及其应用[J].Chinese journal of Epidemiology,2024,45(9):1291-1301
基于生物组学数据的衰老时钟研究及其应用
A research of omics-based biological aging clocks and their applications
Received:April 24, 2024  
DOI:10.3760/cma.j.cn112338-20240424-00215
KeyWord: 衰老时钟  组学数据  生理年龄
English Key Word: Aging clock  Omics data  Physiological age
FundProject:国家自然科学基金(82325044,82021005);湖北省杰出青年自然科学基金(2022CFA046)
Author NameAffiliationE-mail
Zhu Ziwei Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China 
 
Cheng Shanshan Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China 
 
Cheng Xiang Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China  
Chen Weihong Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China 
wchen@mails.tjmu.edu.cn 
Wang Chaolong Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China 
chaolong@hust.edu.cn 
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Abstract:
      衰老是增龄伴随的机体功能衰退过程,是慢性病的主要风险因素。衰老速度存在显著的个体差异,受到遗传和环境因素的共同影响。准确地定量生理年龄有助于识别加速衰老的个体和潜在疾病及死亡风险,促进个体健康管理和精准医疗,实现健康老龄化。本文对基于组学数据构建的衰老时钟及其应用进行总结,并提出展望。
English Abstract:
      Aging, a process of functional decline with the increase of chronological age, is a major risk factor for chronic diseases. Aging shows significant individual differences, which is influenced by both genetic and environmental factors. Accurate measurement of physiological age helps identify individuals with accelerated aging and those at high risk for chronic diseases and mortality, which would promote individual health management and precision medicine for healthy aging. In this paper, we summarize the omics-based aging clocks and discuss their current and future applications.
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