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Common Mechanism of SARS-CoV and SARS-CoV-2 Pathogenesis across Species
Alexandra Schafer; Lisa E. Gralinski; Sarah R. Leist; Emma S. Winkler; Brea K. Hampton; Michael A. Mooney; Kara L. Jensen; Rachel L. Graham; Sudhakar Agnihothram; Sophia Jeng; Steven Chamberlin; Timothy A. Bell; D. Trevor Scobey; Laura A. VanBlargan; Larissa B. Thackray; Pablo Hock; Darla R. Miller; Ginger D. Shaw; Fernando Pardo Manuel de Villena; Shannon K. McWeeney; Stephanie A. Montgomery; Michael S. Diamond; Mark T. Heise; Vineet D. Menachery; Martin T. Ferris; Ralph S. Baric.
Afiliación
  • Alexandra Schafer; University of North Carolina at Chapel Hill, Chapel Hill, NC
  • Lisa E. Gralinski; University of North Carolina at Chapel Hill, Chapel Hill, NC
  • Sarah R. Leist; University of North Carolina at Chapel Hill, Chapel Hill, NC
  • Emma S. Winkler; Washington University School of Medicine, St. Louis, MO
  • Brea K. Hampton; University of North Carolina at Chapel Hill
  • Michael A. Mooney; Oregon Health & Science University, Portland, OR
  • Kara L. Jensen; University of North Carolina at Chapel Hill, Chapel Hill, NC
  • Rachel L. Graham; University of North Carolina at Chapel Hill, Chapel Hill, NC
  • Sudhakar Agnihothram; University of North Carolina at Chapel Hill, Chapel Hill, NC
  • Sophia Jeng; Oregon Health & Science University, Portland, OR
  • Steven Chamberlin; Oregon Health & Science University, Portland, OR
  • Timothy A. Bell; University of North Carolina at Chapel Hill, Chapel Hill, NC
  • D. Trevor Scobey; University of North Carolina at Chapel Hill, Chapel Hill, NC
  • Laura A. VanBlargan; Washington University School of Medicine, St. Louis, MO
  • Larissa B. Thackray; Washington University School of Medicine, St. Louis, MO
  • Pablo Hock; University of North Carolina at Chapel Hill, ChapelHill, NC
  • Darla R. Miller; University of North Carolina at Chapel Hill, Chapel Hill, NC
  • Ginger D. Shaw; University of North Carolina at Chapel Hill, Chapel Hill, NC
  • Fernando Pardo Manuel de Villena; University of North Carolina at Chapel Hill, Chapel Hill, NC
  • Shannon K. McWeeney; Oregon Health & Science University, Portland, OR
  • Stephanie A. Montgomery; University of North Carolina at Chapel Hill, Chapel Hill, NC
  • Michael S. Diamond; Washington University School of Medicine, St. Louis, MO
  • Mark T. Heise; University of North Carolina at Chapel Hill, Chapel Hill, NC
  • Vineet D. Menachery; University of Texas Medical Branch, Galveston, TX
  • Martin T. Ferris; University of North Carolina at Chapel Hill, Chapel Hill, NC
  • Ralph S. Baric; University of North Carolina at Chapel Hill, Chapel Hill, NC
Preprint en Inglés | bioRxiv | ID: ppbiorxiv-444205
ABSTRACT
Sarbecovirus (CoV) infections, including Severe Acute Respiratory CoV (SARS-CoV) and SARS-CoV-2, are considerable human threats. Human GWAS studies have recently identified loci associated with variation in SARS-CoV-2 susceptibility. However, genetically tractable models that reproduce human CoV disease outcomes are needed to mechanistically evaluate genetic determinants of CoV susceptibility. We used the Collaborative Cross (CC) and human GWAS datasets to elucidate host susceptibility loci that regulate CoV infections and to identify host quantitative trait loci that modulate severe CoV and pan-CoV disease outcomes including a major disease regulating loci including CCR9. CCR9 ablation resulted in enhanced titer, weight loss, respiratory dysfunction, mortality, and inflammation, providing mechanistic support in mitigating protection from severe SARS-CoV-2 pathogenesis across species. This study represents a comprehensive analysis of susceptibility loci for an entire genus of human pathogens conducted, identifies a large collection of susceptibility loci and candidate genes that regulate multiple aspects type-specific and cross-CoV pathogenesis, and also validates the paradigm of using the CC platform to identify common cross-species susceptibility loci and genes for newly emerging and pre-epidemic viruses.
Licencia
cc_no
Texto completo: Disponible Colección: Preprints Base de datos: bioRxiv Tipo de estudio: Experimental_studies / Estudio pronóstico / Rct Idioma: Inglés Año: 2021 Tipo del documento: Preprint
Texto completo: Disponible Colección: Preprints Base de datos: bioRxiv Tipo de estudio: Experimental_studies / Estudio pronóstico / Rct Idioma: Inglés Año: 2021 Tipo del documento: Preprint
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