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衰老研究中的代谢组学分析

Metabolome Profiling in Aging Studies.

作者信息

Balashova Elena E, Maslov Dmitry L, Trifonova Oxana P, Lokhov Petr G, Archakov Alexander I

机构信息

Institute of Biomedical Chemistry, Pogodinskaya St. 10, 119121 Moscow, Russia.

出版信息

Biology (Basel). 2022 Oct 26;11(11):1570. doi: 10.3390/biology11111570.

Abstract

Organism aging is closely related to systemic metabolic changes. However, due to the multilevel and network nature of metabolic pathways, it is difficult to understand these connections. Today, scientists are trying to solve this problem using one of the main approaches of metabolomics-untargeted metabolome profiling. The purpose of this publication is to review metabolomic studies based on such profiling, both in animal models and in humans. This review describes metabolites that vary significantly across age groups and include carbohydrates, amino acids, carnitines, biogenic amines, and lipids. Metabolic pathways associated with the aging process are also shown, including those associated with amino acid, lipid, and energy metabolism. The presented data reveal the mechanisms of aging and can be used as a basis for monitoring biological age and predicting age-related diseases in the early stages of their development.

摘要

生物体衰老与全身代谢变化密切相关。然而,由于代谢途径的多层次和网络性质,很难理解这些联系。如今,科学家们正试图通过代谢组学的一种主要方法——非靶向代谢组分析来解决这个问题。本出版物的目的是综述基于这种分析的代谢组学研究,包括动物模型和人类研究。这篇综述描述了在不同年龄组中显著变化的代谢物,包括碳水化合物、氨基酸、肉碱、生物胺和脂质。还展示了与衰老过程相关的代谢途径,包括与氨基酸、脂质和能量代谢相关的途径。所呈现的数据揭示了衰老机制,可作为监测生物年龄和在与年龄相关疾病发展的早期阶段预测这些疾病的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03f9/9687709/a497f996a250/biology-11-01570-g001.jpg

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