Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets

Lei Wu; Xinqiang Xie; Tingting Liang; Jun Ma; Lingshuang Yang; Juan Yang; Longyan Li; Yu Xi; Haixin Li; Jumei Zhang; Xuefeng Chen; Yu Ding; Qingping Wu

doi:10.3390/biom12010039

Biomolecules (Dec 2021)

Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets

Lei Wu,
Xinqiang Xie,
Tingting Liang,
Jun Ma,
Lingshuang Yang,
Juan Yang,
Longyan Li,
Yu Xi,
Haixin Li,
Jumei Zhang,
Xuefeng Chen,
Yu Ding,
Qingping Wu

Affiliations

Lei Wu: 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
Xinqiang Xie: 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
Tingting Liang: 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
Jun Ma: School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China
Lingshuang Yang: 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
Juan Yang: 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
Longyan Li: 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
Yu Xi: 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
Haixin Li: 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
Jumei Zhang: 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
Xuefeng Chen: School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China
Yu Ding: Department of Food Science and Technology, Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, China
Qingping Wu: 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

DOI: https://doi.org/10.3390/biom12010039
Journal volume & issue: Vol. 12, no. 1
p. 39

Abstract

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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.

Published in Biomolecules

ISSN: 2218-273X (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Science: Microbiology
Website: https://www.mdpi.com/journal/biomolecules

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