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Clinical and pathological investigation of patients with severe COVID-19

Authors :
Jinsong Mu
Hongyang Liu
Lei Huang
Xi Li
Boan Li
Lina Jiang
Junsheng Ji
Pengfei Xu
Yan Li
Shousong Zhao
Jiarui Kang
Weimin An
Tianjun Jiang
Lihua Zhao
Yijin Wang
Jingmin Zhao
Lixin Zhang
Hongwei Wang
Caizhong Zhu
Shaohua Li
Jiangyang Lu
Shuhong Liu
Fang Lin
Source :
JCI Insight
Publication Year :
2020
Publisher :
American Society for Clinical Investigation, 2020.

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.

Details

ISSN :
23793708
Volume :
5
Database :
OpenAIRE
Journal :
JCI Insight
Accession number :
edsair.doi.dedup.....4b415eded105a3e4d801f6ae2c2f7090