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J Genet Genomics. 2021 Sep 20;48(9):792-802. doi: 10.1016/j.jgg.2021.04.002. Epub 2021 May 03.

Gut microbiota, inflammation, and molecular signatures of host response to infection.

Journal of genetics and genomics = Yi chuan xue bao

Wanglong Gou, Yuanqing Fu, Liang Yue, Geng-Dong Chen, Xue Cai, Menglei Shuai, Fengzhe Xu, Xiao Yi, Hao Chen, Yi Zhu, Mian-Li Xiao, Zengliang Jiang, Zelei Miao, Congmei Xiao, Bo Shen, Xiaomai Wu, Haihong Zhao, Wenhua Ling, Jun Wang, Yu-Ming Chen, Tiannan Guo, Ju-Sheng Zheng

Affiliations

  1. College of Life Sciences, Zhejiang University, Hangzhou 310058, China; Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China.
  2. Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, China.
  3. Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China.
  4. Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510275, China.
  5. Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China.
  6. Taizhou Hospital, Wenzhou Medical University, Linhai 325035, China.
  7. CAS Key Laboratory for Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China. Electronic address: [email protected].
  8. Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510275, China. Electronic address: [email protected].
  9. Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China. Electronic address: [email protected].
  10. College of Life Sciences, Zhejiang University, Hangzhou 310058, China; Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China; Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, China. Electronic address: [email protected].

PMID: 34257044 DOI: 10.1016/j.jgg.2021.04.002

Abstract

Gut microbial dysbiosis has been linked to many noncommunicable diseases. However, little is known about specific gut microbiota composition and its correlated metabolites associated with molecular signatures underlying host response to infection. Here, we describe the construction of a proteomic risk score based on 20 blood proteomic biomarkers, which have recently been identified as molecular signatures predicting the progression of the COVID-19. We demonstrate that in our cohort of 990 healthy individuals without infection, this proteomic risk score is positively associated with proinflammatory cytokines mainly among older, but not younger, individuals. We further discover that a core set of gut microbiota can accurately predict the above proteomic biomarkers among 301 individuals using a machine learning model and that these gut microbiota features are highly correlated with proinflammatory cytokines in another independent set of 366 individuals. Fecal metabolomics analysis suggests potential amino acid-related pathways linking gut microbiota to host metabolism and inflammation. Overall, our multi-omics analyses suggest that gut microbiota composition and function are closely related to inflammation and molecular signatures of host response to infection among healthy individuals. These results may provide novel insights into the cross-talk between gut microbiota and host immune system.

Copyright © 2021 Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, and Genetics Society of China. Published by Elsevier Ltd. All rights reserved.

Keywords: COVID-19; Gut microbiota; Host infection response; Proinflammatory cytokines; Proteomic biomarkers

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