It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
SARS-CoV-2 vaccines are advancing into human clinical trials, with emphasis on eliciting high titres of neutralising antibodies against the viral spike (S). However, the merits of broadly targeting S versus focusing antibody onto the smaller receptor binding domain (RBD) are unclear. Here we assess prototypic S and RBD subunit vaccines in homologous or heterologous prime-boost regimens in mice and non-human primates. We find S is highly immunogenic in mice, while the comparatively poor immunogenicity of RBD is associated with limiting germinal centre and T follicular helper cell activity. Boosting S-primed mice with either S or RBD significantly augments neutralising titres, with RBD-focussing driving moderate improvement in serum neutralisation. In contrast, both S and RBD vaccines are comparably immunogenic in macaques, eliciting serological neutralising activity that generally exceed levels in convalescent humans. These studies confirm recombinant S proteins as promising vaccine candidates and highlight multiple pathways to achieving potent serological neutralisation.
Current vaccine strategies for SARS-CoV-2 focus on eliciting neutralising antibodies to the spike protein (S), but differences in immunogenicity of full-length S versus receptor binding domain (RBD) only aren’t fully understood. Here, the authors show immunogenicity of different prime-boost strategies with S and/or RBD in mice and macaques.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details








1 University of Melbourne, at The Peter Doherty Institute for Infection and Immunity, Department of Microbiology and Immunology, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X)
2 University of Melbourne, at The Peter Doherty Institute for Infection and Immunity, Department of Microbiology and Immunology, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X); University of Melbourne, Australian Research Council Centre for Excellence in Convergent Bio-Nano Science and Technology, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X)
3 University of Melbourne, at The Peter Doherty Institute for Infection and Immunity, Department of Microbiology and Immunology, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X); WHO Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, Melbourne, Australia (GRID:grid.1008.9)
4 University of Melbourne, at The Peter Doherty Institute for Infection and Immunity, Department of Microbiology and Immunology, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X); University of Melbourne, Australian Research Council Centre for Excellence in Convergent Bio-Nano Science and Technology, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X); Monash University, Melbourne Sexual Health Centre and Department of Infectious Diseases, Alfred Hospital and Central Clinical School, Melbourne, Australia (GRID:grid.1002.3) (ISNI:0000 0004 1936 7857)