Martins Claudia, Magalhães Sandra, Almeida Idália, Neto Vanessa, Rebelo Sandra, Nunes Alexandra
Department of Medical Sciences, iBiMED: Institute of Biomedicine, University of Aveiro, Agra do Crasto, Aveiro 3810-193, Portugal.
Department of Surgery and Physiology, Faculty of Medicine, UnIC@RISE, Cardiovascular Research & Development Centre, University of Porto, Alameda Prof. Hernâni Monteiro, Porto 4200-319, Portugal.
Curr Mol Med. 2024;24(4):457-477. doi: 10.2174/1566524023666230407123727.
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.
在过去几年中，随着平均预期寿命的增加，世界人口正逐渐老龄化，这带来了社会、健康和经济问题。从这个意义上说，更好地理解衰老过程的生理学变得迫切需要。由于对人类衰老的研究具有挑战性，细胞和动物模型被广泛用作替代方法。组学，即代谢组学，已出现在衰老研究中，旨在发现生物标志物，这可能有助于简化这个复杂的过程。本文旨在总结用于衰老研究的不同模型及其优缺点。此外，本综述收集了已发表的使用代谢组学方法发现的衰老生物标志物的文章，比较了不同研究中获得的结果。最后，描述了最常用的衰老生物标志物及其在理解衰老方面的重要性。
