Dissecting CD8+ T cell pathology of severe SARS-CoV-2 infection by single-cell immunoprofiling.

Autor: Schreibing, Felix, Hannani, Monica T., Hyojin Kim, Nagai, James S., Ticconi, Fabio, Fewings, Eleanor, Bleckwehl, Tore, Begemann, Matthias, Torow, Natalia, Kuppe, Christoph, Kurth, Ingo, Kranz, Jennifer, Frank, Dario, Anslinger, Teresa M., Ziegler, Patrick, Kraus, Thomas, Enczmann, Jürgen, Balz, Vera, Windhofer, Frank, Balfanz, Paul
Předmět:
Zdroj: Frontiers in Immunology; 12/16/2022, Vol. 13, p1-23, 23p
Abstrakt: Introduction: SARS-CoV-2 infection results in varying disease severity, ranging from asymptomatic infection to severe illness. A detailed understanding of the immune response to SARS-CoV-2 is critical to unravel the causative factors underlying differences in disease severity and to develop optimal vaccines against new SARS-CoV-2 variants. Methods: We combined single-cell RNA and T cell receptor sequencing with CITE-seq antibodies to characterize the CD8+ T cell response to SARS-CoV-2 infection at high resolution and compared responses between mild and severe COVID-19. Results: We observed increased CD8+ T cell exhaustion in severe SARS-CoV-2 infection and identified a population of NK-like, terminally differentiated CD8+ effector T cells characterized by expression of FCGR3A (encoding CD16). Further characterization of NK-like CD8+ T cells revealed heterogeneity among CD16+ NK-like CD8+ T cells and profound differences in cytotoxicity, exhaustion, and NK-like differentiation between mild and severe disease conditions. Discussion: We propose a model in which differences in the surrounding inflammatory milieu lead to crucial differences in NK-like differentiation of CD8+ effector T cells, ultimately resulting in the appearance of NK-like CD8+ T cell populations of different functionality and pathogenicity. Our in-depth characterization of the CD8+ T cell-mediated response to SARS-CoV-2 infection provides a basis for further investigation of the importance of NKlike CD8+ T cells in COVID-19 severity. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index