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A modular protein subunit vaccine candidate produced in yeast confers protection against SARS-CoV-2 in non-human primates
Neil C Dalvie; Lisa H Tostanoski; Sergio A Rodriguez-Aponte; Kawaljit Kaur; Sakshi Bajoria; Ozan Kumru; Amanda J Martinot; Abishek Chandrashekar; Katherine McMahan; Noe B Mercado; Jingyou Yu; Aiquan Chang; Victoria M Giffin; Felix Nampanya; Shivani Patel; Lesley Bowman; Christopher A Naranjo; Dongsoo Yun; Zach Flinchbaugh; Laurent Pessaint; Renita Brown; Jason Velasco; Elyse Teow; Anthony Cook; Hanne Andersen; Mark G Lewis; Danielle L Camp; Judith Maxwell Silverman; Harry Kleanthous; Sangeeta B Joshi; David B Volkin; Sumi Biswas; J Christopher Love; Dan H Barouch.
Afiliação
  • Neil C Dalvie; Massachusetts Institute of Technology
  • Lisa H Tostanoski; Harvard Medical School
  • Sergio A Rodriguez-Aponte; Massachusetts Institute of Technology
  • Kawaljit Kaur; University of Kansas
  • Sakshi Bajoria; University of Kansas
  • Ozan Kumru; University of Kansas
  • Amanda J Martinot; Harvard Medical School
  • Abishek Chandrashekar; Harvard Medical School
  • Katherine McMahan; Harvard Medical School
  • Noe B Mercado; Harvard Medical School
  • Jingyou Yu; Harvard Medical School
  • Aiquan Chang; Harvard Medical School
  • Victoria M Giffin; Harvard Medical School
  • Felix Nampanya; Harvard Medical School
  • Shivani Patel; Harvard Medical School
  • Lesley Bowman; SpyBiotech Limited
  • Christopher A Naranjo; Massachusetts Institute of Technology
  • Dongsoo Yun; Massachusetts Institute of Technology
  • Zach Flinchbaugh; Bioqual
  • Laurent Pessaint; Bioqual
  • Renita Brown; Bioqual
  • Jason Velasco; Bioqual
  • Elyse Teow; Bioqual
  • Anthony Cook; Bioqual
  • Hanne Andersen; Bioqual
  • Mark G Lewis; Bioqual
  • Danielle L Camp; Massachusetts Institute of Technology
  • Judith Maxwell Silverman; Gates Medical Research Institute
  • Harry Kleanthous; Bill & Melinda Gates Foundation
  • Sangeeta B Joshi; University of Kansas
  • David B Volkin; University of Kansas
  • Sumi Biswas; SpyBiotech Limited
  • J Christopher Love; Massachusetts Institute of Technology
  • Dan H Barouch; Harvard Medical School
Preprint em En | PREPRINT-BIORXIV | ID: ppbiorxiv-452251
ABSTRACT
Vaccines against SARS-CoV-2 have been distributed at massive scale in developed countries, and have been effective at preventing COVID-19. Access to vaccines is limited, however, in low- and middle-income countries (LMICs) due to insufficient supply, high costs, and cold storage requirements. New vaccines that can be produced in existing manufacturing facilities in LMICs, can be manufactured at low cost, and use widely available, proven, safe adjuvants like alum, would improve global immunity against SARS-CoV-2. One such protein subunit vaccine is produced by the Serum Institute of India Pvt. Ltd. and is currently in clinical testing. Two protein components, the SARS-CoV-2 receptor binding domain (RBD) and hepatitis B surface antigen virus-like particles (VLPs), are each produced in yeast, which would enable a low-cost, high-volume manufacturing process. Here, we describe the design and preclinical testing of the RBD-VLP vaccine in cynomolgus macaques. We observed titers of neutralizing antibodies (>104) above the range of protection for other licensed vaccines in non-human primates. Interestingly, addition of a second adjuvant (CpG1018) appeared to improve the cellular response while reducing the humoral response. We challenged animals with SARS-CoV-2, and observed a ~3.4 and ~2.9 log10 reduction in median viral loads in bronchoalveolar lavage and nasal mucosa, respectively, compared to sham controls. These results inform the design and formulation of current clinical COVID-19 vaccine candidates like the one described here, and future designs of RBD-based vaccines against variants of SARS-CoV-2 or other betacoronaviruses.
Licença
cc_by_nc_nd
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-BIORXIV Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-BIORXIV Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint
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