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Cytokine biomarkers of COVID-19
Hai-Jun Deng; Quan-Xin Long; Bei-Zhong Liu; Ji-Hua Ren; Pu Liao; Jing-Fu Qiu; Xiao-Jun Tang; Yong Zhang; Ni Tang; Yin-Yin Xu; Zhan Mo; Juan Chen; Jieli Hu; Ai-Long Huang.
Affiliation
  • Hai-Jun Deng; Key Laboratory of Molecular Biology on Infectious Diseases, Ministry of Education, Chongqing Medical University, Chongqing, China
  • Quan-Xin Long; Key Laboratory of Molecular Biology on Infectious Diseases, Ministry of Education, Chongqing Medical University, Chongqing, China
  • Bei-Zhong Liu; Yongchuan Hospital Affiliated to Chongqing Medical University, Chongqing, China
  • Ji-Hua Ren; Key Laboratory of Molecular Biology on Infectious Diseases, Ministry of Education, Chongqing Medical University, Chongqing, China
  • Pu Liao; Laboratory department, Chongqing People Hospital, Chongqing, China
  • Jing-Fu Qiu; School of Public Health and Management, Chongqing Medical University, Chongqing, China
  • Xiao-Jun Tang; School of Public Health and Management, Chongqing Medical University, Chongqing, China
  • Yong Zhang; School of Public Health and Management, Chongqing Medical University, Chongqing, China
  • Ni Tang; Key Laboratory of Molecular Biology on Infectious Diseases, Ministry of Education, Chongqing Medical University, Chongqing, China
  • Yin-Yin Xu; Yongchuan Hospital Affiliated to Chongqing Medical University, Chongqing, China
  • Zhan Mo; Yongchuan Hospital Affiliated to Chongqing Medical University, Chongqing, China
  • Juan Chen; Key Laboratory of Molecular Biology on Infectious Diseases, Ministry of Education, Chongqing Medical University, Chongqing, China
  • Jieli Hu; Chongqing Medical University
  • Ai-Long Huang; The Key Laboratory of Molecular Biology of Infectious Diseases designated by the Chinese Ministry of
Preprint in English | medRxiv | ID: ppmedrxiv-20118315
ABSTRACT
We used a new strategy to screen cytokines associated with SARS-CoV-2 infection. Cytokines that can classify populations in different states of SARS-CoV-2 infection were first screened in cross-sectional serum samples from 184 subjects by 2 statistical analyses. The resultant cytokines were then analyzed for their interrelationships and fluctuating features in sequential samples from 38 COVID-19 patients. Three cytokines, M-CSF, IL-8 and SCF, which were clustered into 3 different correlation groups and had relatively small fluctuations during SARS-CoV-2 infection, were selected for the construction of a multiclass classification model. This model discriminated healthy individuals and asymptomatic and nonsevere patients with accuracy of 77.4% but was not successful in classifying severe patients. Further searching led to a single cytokine, hepatocyte growth factor (HGF), which classified severe from nonsevere COVID-19 patients with a sensitivity of 84.6% and a specificity of 97.9% under a cutoff value of 1128 pg/ml. The level of this cytokine did not increase in nonsevere patients but was significantly elevated in severe patients. Considering its potent antiinflammatory function, we suggest that HGF might be a new candidate therapy for critical COVID-19. In addition, our new strategy provides not only a rational and effective way to focus on certain cytokine biomarkers for infectious diseases but also a new opportunity to probe the modulation of cytokines in the immune response.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies / Observational study / Rct Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies / Observational study / Rct Language: English Year: 2020 Document type: Preprint
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