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The SARS-CoV-2 Delta variant induces an antibody response largely focused on class 1 and 2 antibody epitopes
Allison J Greaney; Rachel T Eguia; Tyler N Starr; Khadija Khan; Nicholas Franko; Jennifer K Logue; Sandra M Lord; Cate Speake; Helen Y Chu; Alex Sigal; Jesse D Bloom.
Afiliación
  • Allison J Greaney; Fred Hutchinson Cancer Research Center
  • Rachel T Eguia; Fred Hutchinson Cancer Research Center
  • Tyler N Starr; Fred Hutchinson Cancer Research Center
  • Khadija Khan; African Health Research Institute
  • Nicholas Franko; University of Washington
  • Jennifer K Logue; University of Washington
  • Sandra M Lord; Benaroya Research Institute
  • Cate Speake; Benaroya Research Institute
  • Helen Y Chu; University of Washington
  • Alex Sigal; African Health Research Institute
  • Jesse D Bloom; Fred Hutchinson Cancer Research Center
Preprint en Inglés | bioRxiv | ID: ppbiorxiv-484088
ABSTRACT
Exposure histories to SARS-CoV-2 variants and vaccinations will shape the specificity of antibody responses. To understand the specificity of Delta-elicited antibody immunity, we characterize the polyclonal antibody response elicited by primary or mRNA vaccine-breakthrough Delta infections. Both types of infection elicit a neutralizing antibody response focused heavily on the receptor-binding domain (RBD). We use deep mutational scanning to show that mutations to the RBDs class 1 and class 2 epitopes, including sites 417, 478, and 484-486 often reduce binding of these Delta-elicited antibodies. The anti-Delta antibody response is more similar to that elicited by early 2020 viruses than the Beta variant, with mutations to the class 1 and 2, but not class 3 epitopes, having the largest effects on polyclonal antibody binding. In addition, mutations to the class 1 epitope (e.g., K417N) tend to have larger effects on antibody binding and neutralization in the Delta spike than in the D614G spike, both for vaccine- and Delta-infection-elicited antibodies. These results help elucidate how the antigenic impacts of SARS-CoV-2 mutations depend on exposure history.
Licencia
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Texto completo: Disponible Colección: Preprints Base de datos: bioRxiv Tipo de estudio: Estudio pronóstico Idioma: Inglés Año: 2022 Tipo del documento: Preprint
Texto completo: Disponible Colección: Preprints Base de datos: bioRxiv Tipo de estudio: Estudio pronóstico Idioma: Inglés Año: 2022 Tipo del documento: Preprint
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