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. 2020 May;20(5):269-270.
doi: 10.1038/s41577-020-0308-3.

COVID-19: immunopathology and its implications for therapy

Xuetao Cao  1   2
Affiliations

COVID-19: immunopathology and its implications for therapy

Xuetao Cao. Nat Rev Immunol. 2020 May.

Abstract

Severe coronavirus disease 2019 (COVID-19) is characterized by pneumonia, lymphopenia, exhausted lymphocytes and a cytokine storm. Significant antibody production is observed; however, whether this is protective or pathogenic remains to be determined. Defining the immunopathological changes in patients with COVID-19 provides potential targets for drug discovery and is important for clinical management.

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Conflict of interest statement

The author declares no competing interests.

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References

    1. Huang C, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395:497–506. doi: 10.1016/S0140-6736(20)30183-5. - DOI - PMC - PubMed
    1. Xu Z, et al. Pathological findings of COVID-19 associated with acute respiratory distress syndrome. Lancet Respir. Med. 2020;8:420–422. doi: 10.1016/S2213-2600(20)30076-X. - DOI - PMC - PubMed
    1. Qin C, et al. Dysregulation of immune response in patients with COVID-19 in Wuhan, China. Clin. Infect. Dis. 2020 doi: 10.1093/cid/ciaa248. - DOI - PMC - PubMed
    1. Shi, Y. et al. Immunopathological characteristics of coronavirus disease 2019 cases in Guangzhou, China. Preprint at medRxiv10.1101/2020.03.12.20034736 (2020). - PMC - PubMed
    1. Zhang, B. et al. Immune phenotyping based on neutrophil-to-lymphocyte ratio and IgG predicts disease severity and outcome for patients with COVID-19. Preprint at medRxiv10.1101/2020.03.12.20035048 (2020). - PMC - PubMed

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