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The role of interleukin‐6 in monitoring severe case of coronavirus disease 2019
Open accessPublished version of a preprint
Abstract
Progression to severe disease is a difficult problem in treating coronavirus disease 2019 (COVID‐19). The purpose of this study is to explore changes in markers of severe disease in COVID‐19 patients. Sixty‐nine severe COVID‐19 patients were included. Patients with severe disease showed significant lymphocytopenia. Elevated level of lactate dehydrogenase (LDH), C‐reactive protein (CRP), ferritin, and D‐dimer was found in most severe cases. Baseline interleukin‐6 (IL‐6) was found to be associated with COVID‐19 severity. Indeed, the significant increase of baseline IL‐6 was positively correlated with the maximal body temperature during hospitalization and with the increased baseline of CRP, LDH, ferritin, and D‐dimer. High baseline IL‐6 was also associated with more progressed chest computed tomography (CT) findings. Significant decrease in IL‐6 and improved CT assessment was found in patients during recovery, while IL‐6 was further increased in exacerbated patients. Collectively, our results suggest that the dynamic change in IL‐6 can be used as a marker for disease monitoring in patients with severe COVID‐19.
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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 [9, 98–105].”
From Hyperactivation of P2X7 receptors as a culprit of COVID-19 neuropathology (2021) · cites this paper as [104]
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Self-citationClinical characteristics of coronavirus disease 2019 in China
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Self-citationLa certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
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Interleukin‐6 in Covid‐19: A systematic review and meta‐analysis
Coomes, E. A., & Haghbayan, H. (2020) · Reviews in Medical Virology · doi:10.1002/rmv.2141 · Cited by 914
Leisman, D. E., Ronner, L., Pinotti, R., Taylor, M. D., Sinha, P., Calfee, C. S., Hirayama, A. V. V., Mastroianni, F., Turtle, C. J., Harhay, M. O., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30404-5 · Cited by 874
Metadata
- Authors
- Liu, T., Zhang, J., Yang, Y., Ma, H., Li, Z., Zhang, J., Cheng, J., Zhang, X., Zhao, Y., Xia, Z., Zhang, L., Wu, G., & Yi, J.
- Affiliations
- Wuhan Union Hospital (CN)
- Fudan University (CN)
- Corresponding author
- Zhang, Liling
- Wu, Gang
- Yi, Jianhua
- ORCID
- Venue
- EMBO Molecular Medicine
- Published
- 2020-06-05
- Volume
- 12
- Issue
- 7
- Pages
- e12421-e12421
- ISSN
- 1757-4676 (ISSN-L)
- 1757-4684
- PMC
- PMC7280589
- OpenAlex
- W3025830962
- Cited by
- 498
- References
- 27
- Citations by year
- 2026: 13 · 2025: 27 · 2024: 38 · 2023: 83 · 2022: 87 · 2021: 118 · 2020: 130
- FWCI
- 13.69
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- EMBO Molecular Medicine (publishedVersion, cc-by)
- medRxiv (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- The National Natural Science Foundation of China (81602696)
- Fundamental Research Funds for Central Universities of the Central South University (2015QN190)
- The National Science and Technology Major Project of China (2018ZX10302204‐002‐003)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Health Sciences › Medicine › Clinical Neurology › Long-Term Effects of COVID-19
- Keywords
- interleukin-6, severe COVID-19, disease severity markers, lymphopenia, lactate dehydrogenase, C-reactive protein, ferritin, D-dimer, chest CT findings, fever, disease surveillance, cytokine dynamics
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Adult, Aged, Aged, 80 and over, Antiviral Agents, C-Reactive Protein, Female, Humans, Lymphopenia, Male, Middle Aged, Pneumonia, Viral, Severity of Illness Index, Tomography, X-Ray Computed, Biomarkers, Interleukin-6, Coronavirus Infections, Pandemics
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