Biomarkers selection and mathematical modeling in biological age estimation

被引：28
作者：
Bafei, Solim Essomandan Clemence [1 ]
Shen, Chong [1 ]
机构：
[1] Nanjing Med Univ, Ctr Global Hlth, Sch Publ Hlth, Dept Epidemiol, Nanjing 211166, Jiangsu, Peoples R China
来源：
NPJ AGING | 2023年 / 9卷 / 01期
基金：
中国国家自然科学基金;
关键词：
GENOME-WIDE ASSOCIATION; POLYGENIC RISK SCORE; EPIGENETIC CLOCKS; GENE-EXPRESSION; DNA METHYLATION; NATIONAL-HEALTH; LIFE-SPAN; LONGEVITY; MORTALITY; INDEX;
D O I：
10.1038/s41514-023-00110-8
中图分类号：
R592 [老年病学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 100203 ;
摘要：
Biological age (BA) is important for clinical monitoring and preventing aging-related disorders and disabilities. Clinical and/or cellular biomarkers are measured and integrated in years using mathematical models to display an individual's BA. To date, there is not yet a single or set of biomarker(s) and technique(s) that is validated as providing the BA that reflects the best real aging status of individuals. Herein, a comprehensive overview of aging biomarkers is provided and the potential of genetic variations as proxy indicators of the aging state is highlighted. A comprehensive overview of BA estimation methods is also provided as well as a discussion of their performances, advantages, limitations, and potential approaches to overcome these limitations.
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页数：9
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