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作 者:朱紫微 程珊珊 程翔[3] 陈卫红 王超龙 Zhu Ziwei;Cheng Shanshan;Cheng Xiang;Chen Weihong;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;Department of Cardiology,Union Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430022,China;Department of Occupational and Environmental Health,School of Public Health,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430030,China)
机构地区:[1]华中科技大学同济医学院公共卫生学院流行病与卫生统计学系,武汉430030 [2]华中科技大学同济医学院公共卫生学院环境与健康教育部重点实验室,武汉430030 [3]华中科技大学同济医学院附属协和医院心内科,武汉430022 [4]华中科技大学公共卫生学院劳动卫生与环境卫生学系,武汉430030
出 处:《中华流行病学杂志》2024年第9期1291-1301,共11页Chinese Journal of Epidemiology
基 金:国家自然科学基金(82325044,82021005);湖北省杰出青年自然科学基金(2022CFA046)。
摘 要: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。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.
分 类 号:R339.38[医药卫生—人体生理学]
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