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SARS-CoV-2 reactive T cells in uninfected individuals are likely expanded by beta-coronaviruses
Ulrik Stervbo; Sven Rahmann; Toralf Roch; Timm Henning Westhoff; Nina Babel.
Affiliation
  • Ulrik Stervbo; Marien Hospital Herne - Universitatsklinikum der Ruhr-Universitat Bochum
  • Sven Rahmann; University of Duisburg-Essen
  • Toralf Roch; Marien Hospital Herne - Universitatsklinikum der Ruhr-Universitat Bochum
  • Timm Henning Westhoff; Marien Hospital Herne - Universitatsklinikum der Ruhr-Universitat Bochum
  • Nina Babel; Marien Hospital Herne - Universitatsklinikum der Ruhr-Universitat Bochum
Preprint in English | bioRxiv | ID: ppbiorxiv-182741
ABSTRACT
The current pandemic is caused by the SARS-CoV-2 virus and large progress in understanding the pathology of the virus has been made since its emergence in late 2019. Several reports indicate short lasting immunity against endemic coronaviruses, which contrasts repeated reports that biobanked venous blood contains SARS-CoV-2 reactive T cells even before the outbreak in Wuhan. This suggests there exists a preformed T cell memory in individuals not exposed to the pandemic virus. Given the similarity of SARS-CoV-2 to other members of the Coronaviridae family, the endemic coronaviruses appear likely candidates to generate this T cell memory. However, given the apparent poor immunological memory created by the endemic coronaviruses, other immunity against other common pathogens might offer an alternative explanation. Here, we utilize a combination of epitope prediction and similarity to common human pathogens to identify potential sources of the SARS-CoV-2 T cell memory. We find that no common human virus, other than beta-coronaviruses, can explain the pre-existing SARS-CoV-2 reactive T cells in uninfected individuals. Our study suggests OC43 and HKU1 are the most likely pathogens giving rise to SARS-CoV-2 preformed immunity.Competing Interest StatementThe authors have declared no competing interest.View Full Text
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: bioRxiv Type of study: Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: bioRxiv Type of study: Prognostic study Language: English Year: 2020 Document type: Preprint
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