Cited by 872COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 ResearchInflammation biomarkers and pathways

Plasma IP-10 and MCP-3 levels are highly associated with disease severity and predict the progression of COVID-19

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Yang, Yang, Shen, Chenguang, Li, Jinxiu, Yuan, Jing, Wei, Jinli, Huang, Fengmin, Wang, Fuxiang, Li, Guobao +17 more·2020·Journal of Allergy and Clinical Immunology

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Abstract

Background The outbreak of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 was first reported in Wuhan, December 2019, and continuously poses a serious threat to public health, highlighting the urgent need of identifying biomarkers for disease severity and progression.Objective We sought to identify biomarkers for disease severity and progression of COVID-19.Methods Forty-eight cytokines in the plasma samples from 50 COVID-19 cases including 11 critically ill, 25 severe, and 14 moderate patients were measured and analyzed in combination with clinical data.Results Levels of 14 cytokines were found to be significantly elevated in COVID-19 cases and showed different expression profiles in patients with different disease severity. Moreover, expression levels of IFN-γ-induced protein 10, monocyte chemotactic protein-3, hepatocyte growth factor, monokine-induced gamma IFN, and macrophage inflammatory protein 1 alpha, which were shown to be highly associated with disease severity during disease progression, were remarkably higher in critically ill patients, followed by severe and then the moderate patients. Serial detection of the 5 cytokines in 16 cases showed that continuously high levels were associated with deteriorated progression of disease and fatal outcome. Furthermore, IFN-γ-induced protein 10 and monocyte chemotactic protein-3 were excellent predictors for the progression of COVID-19, and the combination of the 2 cytokines showed the biggest area under the curve of the receiver-operating characteristics calculations with a value of 0.99.Conclusions In this study, we report biomarkers that are highly associated with disease severity and progression of COVID-19. These findings add to our understanding of the immunopathologic mechanisms of severe acute respiratory syndrome coronavirus 2 infection, and provide potential therapeutic targets and strategies.

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  • Patients infected with SARS-CoV-2 present elevated levels of IL-6, IL-10, IL-1β, INF-γ, CCL2, TNF-α, CXCL10, CCL7, IL-1 receptor antagonist and IL-2 receptor, supposedly associated with disease severity.

    “Patients infected with SARS-CoV-2 present elevated levels of IL-6, IL-10, IL-1β, INF-γ, CCL2, TNF-α, CXCL10, CCL7, IL-1 receptor antagonist and IL-2 receptor, supposedly associated with disease severity [9, 98–105].”

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Authors
Yang, Y., Shen, C., Li, J., Yuan, J., Wei, J., Huang, F., Wang, F., Li, G., Li, Y., Xing, L., Peng, L., Yang, M., Cao, M., Zheng, H., Wu, W., Zou, R., Li, D., Xu, Z., Wang, H., Zhang, M., Zhang, Z., Gao, G. F., Jiang, C., Liu, L., & Liu, Y.
Affiliations
  • Southern University of Science and Technology (CN)
  • Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
  • Chinese Academy of Sciences (CN)
Corresponding author
  • Jiang, Chengyu
  • Liu, Lei
  • Liu, Yingxia
Venue
Journal of Allergy and Clinical Immunology
Publisher
Elsevier BV
Published
2020-07
Volume
146
Issue
1
Pages
119-127.e4
ISSN
0091-6749 (ISSN-L)
OpenAlex
W3021841162
Cited by
872
References
52
Citations by year
2026: 12 · 2025: 38 · 2024: 64 · 2023: 107 · 2022: 145 · 2021: 249 · 2020: 256
FWCI
24.96
Type
journal article
Language
en
Open access
Locations
  • Journal of Allergy and Clinical Immunology (publishedVersion)
  • medRxiv (acceptedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Natural Science Foundation of China
Topics
  • Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Life Sciences › Immunology and Microbiology › Immunology › Inflammation biomarkers and pathways
Keywords
COVID-19 pandemic, SARS-CoV-2, CXCL10, MCP-3, CCL22, cytokines, disease severity, disease progression, prognostic factors, critically ill patients, hepatocyte growth factor, MIG, Mac-1, fatal outcome, immunopathology
MeSH terms
Betacoronavirus, COVID-19, SARS-CoV-2, Adult, Aged, Female, Humans, Male, Middle Aged, Pneumonia, Viral, Biomarkers, Cytokines, Critical Illness, Coronavirus Infections, Disease Progression, Chemokine CXCL10, Chemokine CCL7, Young Adult, Pandemics

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