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Gut microbiota may underlie the predisposition of healthy individuals to COVID-19
Wanglong Gou; Yuanqing Fu; Liang Yue; Geng-dong Chen; Xue Cai; Menglei Shuai; Fengzhe Xu; Xiao Yi; Hao Chen; Yi Judy 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.
Affiliation
  • Wanglong Gou; Westlake University
  • Yuanqing Fu; Westlake University
  • Liang Yue; Westlake University
  • Geng-dong Chen; Sun Yat-sen University
  • Xue Cai; Westlake University
  • Menglei Shuai; Westlake University
  • Fengzhe Xu; Westlake University
  • Xiao Yi; Westlake University
  • Hao Chen; Westlake University
  • Yi Judy Zhu; Westlake University
  • Mian-li Xiao; Westlake University
  • Zengliang Jiang; Westlake University
  • Zelei Miao; Westlake University
  • Congmei Xiao; Westlake University
  • Bo Shen; Taizhou Hospital, Wenzhou Medical University
  • Xiaomai Wu; Taizhou Hospital, Wenzhou Medical University
  • Haihong Zhao; Taizhou Hospital, Wenzhou Medical University
  • Wenhua Ling; Sun Yat-sen University
  • Jun Wang; Institute of Microbiology, Chinese Academy of Sciences
  • Yu-ming Chen; Sun Yat-sen University
  • Tiannan Guo; Westlake University
  • Ju-Sheng Zheng; Westlake University
Preprint in English | medRxiv | ID: ppmedrxiv-20076091
ABSTRACT
The COVID-19 pandemic is spreading globally with high disparity in the susceptibility of the disease severity. Identification of the key underlying factors for this disparity is highly warranted. Here we describe constructing a proteomic risk score based on 20 blood proteomic biomarkers which predict the progression to severe COVID-19. We demonstrate that in our own cohort of 990 individuals without infection, this proteomic risk score is positively associated with proinflammatory cytokines mainly among older, but not younger, individuals. We further discovered that a core set of gut microbiota could 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 set of 366 individuals. Fecal metabolomic analysis suggested potential amino acid-related pathways linking gut microbiota to inflammation. This study suggests that gut microbiota may underlie the predisposition of normal individuals to severe COVID-19.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
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