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公共卫生领域中表观遗传衰老的量化

Quantification of Epigenetic Aging in Public Health.

作者信息

Kusters Cynthia D J, Horvath Steve

机构信息

Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, California, USA; email:

Altos Labs, Cambridge, United Kingdom; email:

出版信息

Annu Rev Public Health. 2025 Apr;46(1):91-110. doi: 10.1146/annurev-publhealth-060222-015657. Epub 2024 Dec 16.

DOI:10.1146/annurev-publhealth-060222-015657
PMID:39681336
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12180540/
Abstract

Estimators of biological age hold promise for use in preventive medicine, for early detection of chronic conditions, and for monitoring the effectiveness of interventions aimed at improving population health. Among the promising biomarkers in this field are DNA methylation-based biomarkers, commonly referred to as epigenetic clocks. This review provides a survey of these clocks, with an emphasis on second-generation clocks that predict human morbidity and mortality. It explores the validity of epigenetic clocks when considering factors such as race, sex differences, lifestyle, and environmental influences. Furthermore, the review addresses the current challenges and limitations in this research area.

摘要

生物年龄估计器有望用于预防医学、慢性病的早期检测以及监测旨在改善人群健康的干预措施的有效性。该领域有前景的生物标志物包括基于DNA甲基化的生物标志物,通常称为表观遗传时钟。本综述对这些时钟进行了概述,重点关注预测人类发病率和死亡率的第二代时钟。它探讨了在考虑种族、性别差异、生活方式和环境影响等因素时表观遗传时钟的有效性。此外,该综述还讨论了这一研究领域当前面临的挑战和局限性。

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本文引用的文献

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Geroscience. 2025 Mar 17. doi: 10.1007/s11357-025-01604-x.
2
Metformin decelerates aging clock in male monkeys.二甲双胍可减缓雄性猴子的衰老时钟。
Cell. 2024 Oct 31;187(22):6358-6378.e29. doi: 10.1016/j.cell.2024.08.021. Epub 2024 Sep 12.
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A systematic review of phenotypic and epigenetic clocks used for aging and mortality quantification in humans.用于人类衰老和死亡率量化的表型和表观遗传时钟的系统评价。
Aging (Albany NY). 2024 Aug 30;16(17):12414-12427. doi: 10.18632/aging.206098.
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Hormone Therapy and Biological Aging in Postmenopausal Women.绝经后妇女的激素治疗与生物衰老。
JAMA Netw Open. 2024 Aug 1;7(8):e2430839. doi: 10.1001/jamanetworkopen.2024.30839.
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Poverty Status at Birth Predicts Epigenetic Changes at Age 15.出生时的贫困状况可预测15岁时的表观遗传变化。
J Biomed Life Sci. 2024;4(1). doi: 10.31586/jbls.2024.989. Epub 2024 Jul 16.
6
Psychosocial Disadvantage During Childhood and Midlife Health: NIMHD Social Epigenomics Program.儿童期和中年期心理健康的社会心理劣势:NIMHD 社会表观基因组学计划。
JAMA Netw Open. 2024 Jul 1;7(7):e2421841. doi: 10.1001/jamanetworkopen.2024.21841.
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