Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 May;20(5):269-270.
doi: 10.1038/s41577-020-0308-3.

COVID-19: immunopathology and its implications for therapy

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.

PubMed Disclaimer

Conflict of interest statement

The author declares no competing interests.

Comment in

Similar articles

Cited by

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

MeSH terms

LinkOut - more resources