Published September 30, 2022 | Version v1
Dataset Restricted

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

  • 1. Institute of Experimental Medicine and Systems Biology, University Hospital RWTH Aachen, Germany
  • 2. Institute for Computational Genomics, University Hospital RWTH Aachen
  • 3. Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany
  • 4. Institute of Human Genetics, Medical Faculty, RWTH Aachen University Hospital, Aachen, Germany
  • 5. Institute of Medical Microbiology, RWTH University Hospital Aachen, Aachen, Germany
  • 6. Department of Medicine, St Antonius Hospital, Eschweiler, Germany
  • 7. Institute for Occupational, Social and Environmental Medicine, University Hospital RWTH Aachen
  • 8. Institute for Transplantation Diagnostics and Cell Therapeutics, University Hospital Düsseldorf, Düsseldorf, Germany
  • 9. Department of Cardiology, Angiology and Intensive Care Medicine, University Hospital RWTH Aachen
  • 10. Institute of Experimental Immunology, University of Bonn, Germany
  • 11. Department of Intensive and Intermediate Care, University Hospital RWTH Aachen
  • 12. Department of Pneumology and Intensive Care Medicine, University Hospital RWTH Aachen
  • 13. Department of Cell Biology, RWTH Aachen University

Description

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. 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. We observed a population of exhausted CD8+ T cells 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. 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 NK-like CD8+ T cells in COVID-19 severity.

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Request access

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

The dataset will be made Open Access after the manuscript has been formally accepted by a Journal.

You are currently not logged in. Do you have an account? Log in here