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Metabolomics Signatures of Aging: Recent Advances
Aging and Disease · 2021 · ▲ 78 citations
Abstract
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.
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- 10.14336/ad.2020.0909
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- 2026-07-28 MST
Cite this
APA
Adav, S.S., & Wang, Y. (2021). Metabolomics Signatures of Aging: Recent Advances. <em>Aging and Disease</em>. https://doi.org/10.14336/ad.2020.0909
Vancouver
Adav SS, Wang Y. Metabolomics Signatures of Aging: Recent Advances. Aging and Disease. 2021. doi:10.14336/ad.2020.0909.
BibTeX
@article{sunil2021Metabo,
title = {Metabolomics Signatures of Aging: Recent Advances},
author = {Sunil S. Adav and Yulan Wang},
journal = {Aging and Disease},
year = {2021},
doi = {10.14336/ad.2020.0909},
}
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