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Biomolecules
Volume 12
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10.3390/biom12010039
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Review

Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets

by
Lei Wu
1,2,†,
Xinqiang Xie
1,†,
Tingting Liang
1,2,†,
Jun Ma
2,
Lingshuang Yang
1,
Juan Yang
1,2,
Longyan Li
1,
Yu Xi
1,
Haixin Li
1,
Jumei Zhang
1,
Xuefeng Chen
2,
Yu Ding
3,* and
Qingping Wu
1,*
1
Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
2
School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China
3
Department of Food Science and Technology, Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, China
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Biomolecules 2022, 12(1), 39; https://doi.org/10.3390/biom12010039
Submission received: 2 December 2021 / Revised: 17 December 2021 / Accepted: 19 December 2021 / Published: 28 December 2021
(This article belongs to the Section Bioinformatics and Systems Biology)
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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.
Keywords: aging; aging biomarkers; antiaging targets; multi-omics; aging clock aging; aging biomarkers; antiaging targets; multi-omics; aging clock

Share and Cite

MDPI and ACS Style

Wu, L.; Xie, X.; Liang, T.; Ma, J.; Yang, L.; Yang, J.; Li, L.; Xi, Y.; Li, H.; Zhang, J.; et al. Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets. Biomolecules 2022, 12, 39. https://doi.org/10.3390/biom12010039

AMA Style

Wu L, Xie X, Liang T, Ma J, Yang L, Yang J, Li L, Xi Y, Li H, Zhang J, et al. Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets. Biomolecules. 2022; 12(1):39. https://doi.org/10.3390/biom12010039

Chicago/Turabian Style

Wu, Lei, Xinqiang Xie, Tingting Liang, Jun Ma, Lingshuang Yang, Juan Yang, Longyan Li, Yu Xi, Haixin Li, Jumei Zhang, and et al. 2022. "Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets" Biomolecules 12, no. 1: 39. https://doi.org/10.3390/biom12010039

APA Style

Wu, L., Xie, X., Liang, T., Ma, J., Yang, L., Yang, J., Li, L., Xi, Y., Li, H., Zhang, J., Chen, X., Ding, Y., & Wu, Q. (2022). Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets. Biomolecules, 12(1), 39. https://doi.org/10.3390/biom12010039

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