Your browser doesn't support javascript.
loading
Proteomic and Metabolomic Characterization of COVID-19 Patient Sera
Bo Shen; Xiao Yi; Yaoting Sun; Xiaojie Bi; Juping Du; Chao Zhang; Sheng Quan; Fangfei Zhang; Rui Sun; Liujia Qian; Weigang Ge; Wei Liu; Shuang Liang; Hao Chen; Ying Zhang; Jun Li; Jiaqin Xu; Zebao He; Baofu Chen; Jing Wang; Haixi Yan; Yufen Zheng; Donglian Wang; Jiansheng Zhu; Ziqing Kong; Zhouyang Kang; Xiao Liang; Xuan Ding; Guan Ruan; Nan Xiang; Xue Cai; Huanhuan Gao; Lu Li; Sainan Li; Qi Xiao; Tian Lu; Yi Judy Zhu; Huafen Liu; Haixiao Chen; Tiannan Guo.
Affiliation
  • Bo Shen; Department of clinical laboratory, Taizhou Hospital,Wenzhou Medical Universtry, 150 Ximen Street,Linhai 317000,Zhejiang Province,China.
  • Xiao Yi; Westlake University
  • Yaoting Sun; Westlake University
  • Xiaojie Bi; Taizhou Hospital,Wenzhou Medical Universtry ,150 Ximen Street,Linhai 317000,Zhejiang Province,China.
  • Juping Du; Taizhou Hospital,Wenzhou Medical Universtry ,150 Ximen Street,Linhai 317000,Zhejiang Province,China.
  • Chao Zhang; Calibra Lab at DIAN Diagnostics, 329 Jinpeng Street, Hangzhou 310030, Zhejiang Province, China.
  • Sheng Quan; Calibra Lab at DIAN Diagnostics, 329 Jinpeng Street, Hangzhou 310030, Zhejiang Province, China.
  • Fangfei Zhang; Westlake University
  • Rui Sun; Westlake University
  • Liujia Qian; Westlake University
  • Weigang Ge; Westlake University
  • Wei Liu; Westlake University
  • Shuang Liang; Westlake University
  • Hao Chen; Westlake University
  • Ying Zhang; Taizhou Hospital,Wenzhou Medical Universtry ,150 Ximen Street,Linhai 317000,Zhejiang Province,China.
  • Jun Li; Taizhou Hospital,Wenzhou Medical Universtry ,150 Ximen Street,Linhai 317000,Zhejiang Province,China.
  • Jiaqin Xu; Taizhou Hospital,Wenzhou Medical Universtry ,150 Ximen Street,Linhai 317000,Zhejiang Province,China.
  • Zebao He; Taizhou Enze Medical Center (Group) Enze Hospital
  • Baofu Chen; Taizhou Hospital,Wenzhou Medical Universtry ,150 Ximen Street,Linhai 317000, Zhejiang Province,China.
  • Jing Wang; Taizhou Hospital,Wenzhou Medical Universtry ,150 Ximen Street,Linhai 317000,Zhejiang Province,China.
  • Haixi Yan; Taizhou Hospital,Wenzhou Medical Universtry ,150 Ximen Street,Linhai 317000,Zhejiang Province,China.
  • Yufen Zheng; Taizhou Hospital,Wenzhou Medical Universtry ,150 Ximen Street,Linhai 317000,Zhejiang Province,China.
  • Donglian Wang; Taizhou Hospital,Wenzhou Medical Universtry ,150 Ximen Street,Linhai 317000,Zhejiang Province,China.
  • Jiansheng Zhu; Taizhou Hospital,Wenzhou Medical Universtry ,150 Ximen Street,Linhai 317000,Zhejiang Province,China.
  • Ziqing Kong; Calibra Lab at DIAN Diagnostics, 329 Jinpeng Street, Hangzhou 310030, Zhejiang Province,China.
  • Zhouyang Kang; Calibra Lab at DIAN Diagnostics, 329 Jinpeng Street, Hangzhou 310030, Zhejiang Province, China.
  • Xiao Liang; Westlake University
  • Xuan Ding; Westlake University
  • Guan Ruan; Westlake University
  • Nan Xiang; Westlake University
  • Xue Cai; Westlake University
  • Huanhuan Gao; Westlake University
  • Lu Li; Westlake University
  • Sainan Li; Westlake University
  • Qi Xiao; Westlake University
  • Tian Lu; Westlake University
  • Yi Judy Zhu; Westlake University
  • Huafen Liu; Calibra Lab at DIAN Diagnostics, 329 Jinpeng Street, Hangzhou 310030, Zhejiang Province, China.
  • Haixiao Chen; Taizhou Hospital,Wenzhou Medical Universtry ,150 Ximen Street,Linhai 317000, Zhejiang Province,China.
  • Tiannan Guo; Westlake University
Preprint in English | medRxiv | ID: ppmedrxiv-20054585
Journal article
A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See journal article
ABSTRACT
Severe COVID-19 patients account for most of the mortality of this disease. Early detection and effective treatment of severe patients remain major challenges. Here, we performed proteomic and metabolomic profiling of sera from 46 COVID-19 and 53 control individuals. We then trained a machine learning model using proteomic and metabolomic measurements from a training cohort of 18 non-severe and 13 severe patients. The model correctly classified severe patients with an accuracy of 93.5%, and was further validated using ten independent patients, seven of which were correctly classified. We identified molecular changes in the sera of COVID-19 patients implicating dysregulation of macrophage, platelet degranulation and complement system pathways, and massive metabolic suppression. This study shows that it is possible to predict progression to severe COVID-19 disease using serum protein and metabolite biomarkers. Our data also uncovered molecular pathophysiology of COVID-19 with potential for developing anti-viral therapies.
License
cc_no
Fulltext
Add to My VHL
Print
XML
Search on Google
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
Fulltext
Add to My VHL
Print
XML
Search on Google
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint