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Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets.

Authors :
Wu, Lei
Xie, Xinqiang
Liang, Tingting
Ma, Jun
Yang, Lingshuang
Yang, Juan
Li, Longyan
Xi, Yu
Li, Haixin
Zhang, Jumei
Chen, Xuefeng
Ding, Yu
Wu, Qingping
Source :
Biomolecules (2218-273X). Jan2022, Vol. 12 Issue 1, p39-39. 1p.
Publication Year :
2022

Abstract

Aging is closely related to the occurrence of human diseases; however, its exact biological mechanism is unclear. Advancements in high-throughput technology provide new opportunities for omics research to understand the pathological process of various complex human diseases. However, single-omics technologies only provide limited insights into the biological mechanisms of diseases. DNA, RNA, protein, metabolites, and microorganisms usually play complementary roles and perform certain biological functions together. In this review, we summarize multi-omics methods based on the most relevant biomarkers in single-omics to better understand molecular functions and disease causes. The integration of multi-omics technologies can systematically reveal the interactions among aging molecules from a multidimensional perspective. Our review provides new insights regarding the discovery of aging biomarkers, mechanism of aging, and identification of novel antiaging targets. Overall, data from genomics, transcriptomics, proteomics, metabolomics, integromics, microbiomics, and systems biology contribute to the identification of new candidate biomarkers for aging and novel targets for antiaging interventions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2218273X
Volume :
12
Issue :
1
Database :
Academic Search Index
Journal :
Biomolecules (2218-273X)
Publication Type :
Academic Journal
Accession number :
154803507
Full Text :
https://doi.org/10.3390/biom12010039