预期寿命
健康衰老
人口老龄化
代谢组学
数据科学
生物标志物
细胞衰老
长寿
人口
老年学
生物
计算机科学
计算生物学
医学
生物信息学
环境卫生
生物化学
基因
表型
作者
Cláudia Martins,Sandra Magalhães,Idália Almeida,Vanessa Neto,Sandra Rebelo,Alexandra Nunes
出处
期刊:Current Molecular Medicine
[Bentham Science]
日期:2023-04-07
卷期号:24 (4): 457-477
被引量:1
标识
DOI:10.2174/1566524023666230407123727
摘要
Abstract: In the last years, with the increase in the average life expectancy, the world’s population is progressively aging, which entails social, health and economic problems. In this sense, the need to better understand the physiology of the aging process becomes an urgent need. Since the study of aging in humans is challenging, cellular and animal models are widely used as alternatives. Omics, namely metabolomics, have emerged in the study of aging, with the aim of biomarker discovering, which may help to uncomplicate this complex process. This paper aims to summarize different models used for aging studies with their advantages and limitations. Also, this review gathers the published articles referring to biomarkers of aging already discovered using metabolomics approaches, comparing the results obtained in the different studies. Finally, the most frequently used senescence biomarkers are described, along with their importance in understanding aging.
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