Epitope focusing to the receptor binding motif for a universal coronavirus vaccine
- Funded by National Institutes of Health (NIH)
- Total publications:0 publications
Grant number: 3R01AI146779-03S1
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Key facts
Disease
COVID-19Start & end year
20202022Known Financial Commitments (USD)
$239,867Funder
National Institutes of Health (NIH)Principal Investigator
ASSOCIATE PROFESSOR OF MICROBIOLOGY Aaron SchmidtResearch Location
United States of AmericaLead Research Institution
MASSACHUSETTS GENERAL HOSPITALResearch Priority Alignment
N/A
Research Category
Vaccines research, development and implementation
Research Subcategory
Pre-clinical studies
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
Project Summary There is urgent need for the development of effective countermeasures against the newly emerged novel coronavirus or "nCoV" (also known as COVID-19). The development of a "universal" coronavirus (CoV) vaccine would not only be effective against COVID-19 but, in theory, would protect against future, potential pandemic CoV strains. The pathway to such a vaccine will likely focus on the design of novel immunogens that elicit broadly neutralizing antibodies to conserved viral epitopes, such as the receptor binding site (RBS). Here we leverage our structure-based, "resurfacing" and glycan engineering immunogen design approaches for a universal influenza vaccine and extend it to COVID-19. Our ongoing studies for influenza demonstrate that our resurfaced, heterochimeric immunogen approach substantially increased the overall frequency of elicited RBS-directed responses and our glycan engineering approach could effectively focus the immune response to a novel, conserved influenza hemagglutinin epitope; we envision that implementing comparable immunogen design approaches for COVID-19 specifically focusing to its receptor-binding interface epitope would yield similar results. We intend to use this Administrative Supplement to generate preliminary data to show the efficacy of our approach for a COVID-19 vaccine, and to optimize the vaccine regimen in the murine model; the data generated here will form the basis for future studies for a universal CoV vaccine.