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Pre-existing T cell memory as a risk factor for severe 1 COVID-19 in the elderly
Petra Bacher; Elisa Rosati; Daniela Esser; Gabriela Rios Martini; Carina Saggau; Esther Schiminsky; Justina Dargvainiene; Ina Schröder; Imke Wieters; Fabian Eberhardt; Holger Neb; Yascha Khodamoradi; Michael Sonntagbauer; Maria JGT Vehreschild; Claudio Conrad; Florian Tran; Philip Rosenstiel; Robert Markewitz; Klaus-Peter Wandinger; Jan Rybniker; Matthias Kochanek; Frank Leypoldt; Oliver A Cornely; Philipp Koehler; Andre Franke; Alexander Scheffold.
Afiliação
  • Petra Bacher; Institute of Immunology, Christian-Albrechts-University of Kiel & UKSH Schleswig-Holstein, Kiel, Germany
  • Elisa Rosati; Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
  • Daniela Esser; Neuroimmunology, Institute of Clinical Chemistry, University Hospital Schleswig-Holstein, Kiel, Germany
  • Gabriela Rios Martini; Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
  • Carina Saggau; Institute of Immunology, Christian-Albrechts-University of Kiel & UKSH Schleswig-Holstein, 11 Kiel, Germany
  • Esther Schiminsky; Institute of Immunology, Christian-Albrechts-University of Kiel & UKSH Schleswig-Holstein, Kiel, Germany
  • Justina Dargvainiene; Neuroimmunology, Institute of Clinical Chemistry, University Hospital Schleswig-Holstein, Kiel, Germany
  • Ina Schröder; Neuroimmunology, Institute of Clinical Chemistry, University Hospital Schleswig-Holstein, Kiel, Germany
  • Imke Wieters; Department of Internal Medicine, Infectious Diseases, University Hospital Frankfurt & Goethe University Frankfurt, Frankfurt am Main, Germany
  • Fabian Eberhardt; Department of Internal Medicine, Infectious Diseases, University Hospital Frankfurt & Goethe University Frankfurt, Frankfurt am Main, Germany
  • Holger Neb; Department of Anesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Yascha Khodamoradi; Department of Internal Medicine, Infectious Diseases, University Hospital Frankfurt & Goethe University Frankfurt, Frankfurt am Main, Germany
  • Michael Sonntagbauer; Department of Anesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Maria JGT Vehreschild; Department of Internal Medicine, Infectious Diseases, University Hospital Frankfurt & Goethe University Frankfurt, Frankfurt am Main, Germany
  • Claudio Conrad; Department of Internal Medicine, Hospital of Preetz, Preetz, Germany
  • Florian Tran; Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
  • Philip Rosenstiel; Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
  • Robert Markewitz; Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
  • Klaus-Peter Wandinger; Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.
  • Jan Rybniker; University of Cologne, Medical Faculty and University Hospital Cologne, Department I of Internal Medicine, 50937 Cologne, Germany
  • Matthias Kochanek; University of Cologne, Medical Faculty and University Hospital Cologne, Department I of Internal Medicine, 50937 Cologne, Germany
  • Frank Leypoldt; Neuroimmunology, Institute of Clinical Chemistry, University Hospital Schleswig-Holstein, Kiel, Germany
  • Oliver A Cornely; University of Cologne, Medical Faculty and University Hospital Cologne, Department I of Internal Medicine, 50937 Cologne, Germany
  • Philipp Koehler; University of Cologne, Medical Faculty and University Hospital Cologne, Department I of Internal Medicine, 50937 Cologne, Germany
  • Andre Franke; Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
  • Alexander Scheffold; Institute of Immunology, Christian Albrechts University of Kiel, Kiel, Germany
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20188896
ABSTRACT
Coronavirus disease 2019 (COVID-19) displays high clinical variability but the parameters that determine disease severity are still unclear. Pre-existing T cell memory has been hypothesized as a protective mechanism but conclusive evidence is lacking. Here we demonstrate that all unexposed individuals harbor SARS-CoV-2-specific memory T cells with marginal cross-reactivity to common cold corona and other unrelated viruses. They display low functional avidity and broad protein target specificities and their frequencies correlate with the overall size of the CD4+ memory compartment reflecting the "immunological age" of an individual. COVID-19 patients have strongly increased SARS-CoV-2-specific inflammatory T cell responses that are correlated with severity. Strikingly however, patients with severe COVID-19 displayed lower TCR functional avidity and less clonal expansion. Our data suggest that a low avidity pre-existing T cell memory negatively impacts on the T cell response quality against neoantigens such as SARS-CoV-2, which may predispose to develop inappropriate immune reactions especially in the elderly. We propose the immunological age as an independent risk factor to develop severe COVID-19. Key points- Pre-existing SARS-CoV-2-reactive memory T cells are present in all humans, but have low functional avidity and broad target specificities - Pre-existing memory T cells show only marginal cross-reactivity to common cold corona viruses - Frequencies of pre-existing memory T cells increase with the size of the CD4+ memory compartment reflecting the "immunological age" of the individual - Low-avidity and polyclonal, but strongly enhanced SARS-CoV-2 specific T cell responses develop in severe COVID-19, suggesting their origin from pre-existing memory - The immunological age may represent a risk factor to develop severe COVID-19
Licença
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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