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The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Clinical and pathological investigation of patients with severe COVID-19

Open access
Li, Shaohua, Jiang, Lina, Li, Xi, Lin, Fang, Wang, Yijin, Li, Boan, Jiang, Tianjun, An, Weimin, Liu, Shuhong, Liu, Hongyang, Xu, Pengfei, Zhao, Lihua, Zhang, Lixin, Mu, Jinsong, Wang, Hongwei, Kang, Jiarui, Li, Yan, Huang, Lei, Zhu, Caizhong, Zhao, Shousong, Lu, Jiangyang, Ji, Junsheng, Zhao, Jingmin·2020·JCI Insight

Abstract

BACKGROUND: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory coronavirus 2 (SARS-CoV-2), has become a pandemic. This study addresses the clinical and immunopathological characteristics of severe COVID-19. METHODS: Sixty-nine patients with COVID-19 were classified into severe and nonsevere groups to analyze their clinical and laboratory characteristics. A panel of blood cytokines was quantified over time. Biopsy specimens from 2 deceased cases were obtained for immunopathological, ultrastructural, and in situ hybridization examinations. RESULTS: Circulating cytokines, including IL-8, IL-6, TNF-α, IP10, MCP1, and RANTES, were significantly elevated in patients with severe COVID-19. Dynamic IL-6 and IL-8 were associated with disease progression. SARS-CoV-2 was demonstrated to infect type II and type I pneumocytes and endothelial cells, leading to severe lung damage through cell pyroptosis and apoptosis. In severe cases, lymphopenia, neutrophilia, depletion of CD4+ and CD8+ T lymphocytes, and massive macrophage and neutrophil infiltrates were observed in both blood and lung tissues. CONCLUSIONS: A panel of circulating cytokines could be used to predict disease deterioration and inform clinical interventions. Severe pulmonary damage was predominantly attributed to both cytopathy caused by SARS-CoV-2 and immunopathologic damage. Strategies that prohibit pulmonary recruitment and overactivation of inflammatory cells by suppressing cytokine storm might improve the outcomes of patients with severe COVID-19.

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Metadata

Authors
Li, S., Jiang, L., Li, X., Lin, F., Wang, Y., Li, B., Jiang, T., An, W., Liu, S., Liu, H., Xu, P., Zhao, L., Zhang, L., Mu, J., Wang, H., Kang, J., Li, Y., Huang, L., Zhu, C., Zhao, S., Lu, J., Ji, J., & Zhao, J.
Venue
JCI Insight
Published
2020-06-18
Volume
5
Issue
12
ISSN
2379-3708 (ISSN-L)
OpenAlex
W3025129816
Cited by
280
References
3
FWCI
7.24
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Clinical and pathological investigation of patients with severe COVID-19. https://app.cochat.ai/papers/10.1172/jci.insight.138070
The paper
Li, S., Jiang, L., Li, X., Lin, F., Wang, Y., Li, B., Jiang, T., An, W., Liu, S., Liu, H., Xu, P., Zhao, L., Zhang, L., Mu, J., Wang, H., Kang, J., Li, Y., Huang, L., Zhu, C., . . . Zhao, J. (2020). Clinical and pathological investigation of patients with severe COVID-19. JCI Insight. https://doi.org/10.1172/jci.insight.138070

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.