Metabolomics Signatures of Aging: Recent Advances.
Metabolomics Signatures of Aging: Recent Advances.
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DOI：
10.14336/ad.2020.0909
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发表时间：
2021-04
影响因子：
7.4
通讯作者：
Wang Y
中科院分区：
文献类型：
--
作者：
Adav SS;Wang Y
代谢组学是最新最先进的组学技术，可提供代谢物的全面定量分析。代谢物是代谢反应的细胞终产物，解释了对基因组、转录组、蛋白质组或环境变化的最终反应。衰老是一个自然不可避免的过程，其特征是各种生理和代谢功能随时间而下降，并受到遗传、蛋白质组学、代谢组学、环境因素、饮食和生活方式的共同主导。衰老过程的确切机制尚不清楚，但代谢组学有可能通过提供详细的代谢物谱和随年龄变化的代谢组功能来增加重要的洞察力。尽管代谢组学在衰老研究中的应用仍然相对较新，但人们已经做出了广泛的尝试，通过定量代谢物谱来了解衰老的生物学。本综述总结了衰老研究中代谢组学研究的最新进展和最新信息，重点关注侵入性较小的生物体液中的衰老生物标志物。讨论了结合多组学数据来理解复杂衰老过程的综合方法的重要性。尽管在与氧化还原稳态、中央能量途径、脂质代谢和氨基酸相关的代谢组学和代谢物方面出现了各种创新，但提供决定性的衰老生物标志物仍然是一个重大挑战。
Metabolomics is the latest state-of-the-art omics technology that provides a comprehensive quantitative profile of metabolites. The metabolites are the cellular end products of metabolic reactions that explain the ultimate response to genomic, transcriptomic, proteomic, or environmental changes. Aging is a natural inevitable process characterized by a time-dependent decline of various physiological and metabolic functions and are dominated collectively by genetics, proteomics, metabolomics, environmental factors, diet, and lifestyle. The precise mechanism of the aging process is unclear, but the metabolomics has the potential to add significant insight by providing a detailed metabolite profile and altered metabolomic functions with age. Although the application of metabolomics to aging research is still relatively new, extensive attempts have been made to understand the biology of aging through a quantitative metabolite profile. This review summarises recent developments and up-to-date information on metabolomics studies in aging research with a major emphasis on aging biomarkers in less invasive biofluids. The importance of an integrative approach that combines multi-omics data to understand the complex aging process is discussed. Despite various innovations in metabolomics and metabolite associated with redox homeostasis, central energy pathways, lipid metabolism, and amino acid, a major challenge remains to provide conclusive aging biomarkers.