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Baseline T cell immune phenotypes predict virologic and disease control upon SARS-CoV infection
Jessica Graham; Jessica Swarts; Sarah R Leist; Alexandra Schafer; Vineet D Menachery; Lisa Gralinski; Sophia Jeng; Darla R Miller; Michael Mooney; Shannon McWeeney; Martin T. Ferris; Fernando Pardo-Manuel de Villena; Mark T. Heise; Ralph S. Baric; Jennifer M Lund.
Afiliação
  • Jessica Graham; Fred Hutchinson Cancer Research Center
  • Jessica Swarts; Fred Hutchinson Cancer Research Center
  • Sarah R Leist; University of North Carolina
  • Alexandra Schafer; University of North Carolina-Chapel Hill
  • Vineet D Menachery; University of Texas Medical Branch
  • Lisa Gralinski; University of North Carolina at Chapel Hill
  • Sophia Jeng; Oregon Health & Science University
  • Darla R Miller; University of North Carolina at Chapel Hill
  • Michael Mooney; Oregon Health & Science University
  • Shannon McWeeney; Oregon Health & Science University
  • Martin T. Ferris; University of North Carolina at Chapel Hill
  • Fernando Pardo-Manuel de Villena; University of North Carolina at Chapel Hill
  • Mark T. Heise; University of North Carolina at Chapel Hill
  • Ralph S. Baric; University of North Carolina at Chapel Hill
  • Jennifer M Lund; Fred Hutchinson Cancer Research Center
Preprint em Inglês | bioRxiv | ID: ppbiorxiv-306837
Artigo de periódico
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ABSTRACT
The COVID-19 pandemic has revealed that infection with SARS-CoV-2 can result in a wide range of clinical outcomes in humans, from asymptomatic or mild disease to severe disease that can require mechanical ventilation. An incomplete understanding of immune correlates of protection represents a major barrier to the design of vaccines and therapeutic approaches to prevent infection or limit disease. This deficit is largely due to the lack of prospectively collected, pre-infection samples from indiviuals that go on to become infected with SARS-CoV-2. Here, we utilized data from a screen of genetically diverse mice from the Collaborative Cross (CC) infected with SARS-CoV to determine whether circulating baseline T cell signatures are associated with a lack of viral control and severe disease upon infection. SARS-CoV infection of CC mice results in a variety of viral load trajectories and disease outcomes. Further, early control of virus in the lung correlates with an increased abundance of activated CD4 and CD8 T cells and regulatory T cells prior to infections across strains. A basal propensity of T cells to express IFNg and IL17 over TNFa also correlated with early viral control. Overall, a dysregulated, pro-inflammatory signature of circulating T cells at baseline was associated with severe disease upon infection. While future studies of human samples prior to infection with SARS-CoV-2 are required, our studies in mice with SARS-CoV serve as proof of concept that circulating T cell signatures at baseline can predict clinical and virologic outcomes upon SARS-CoV infection. Identification of basal immune predictors in humans could allow for identification of individuals at highest risk of severe clinical and virologic outcomes upon infection, who may thus most benefit from available clinical interventions to restrict infection and disease. SummaryWe used a screen of genetically diverse mice from the Collaborative Cross infected with mouse-adapted SARS-CoV in combination with comprehensive pre-infection immunophenotyping to identify baseline circulating immune correlates of severe virologic and clinical outcomes upon SARS-CoV infection.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Tipo de estudo: Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Tipo de estudo: Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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