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: 3R01AI146779-02S1
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Key facts
Disease
COVID-19, UnspecifiedStart & end year
20192022Known Financial Commitments (USD)
$390,265Funder
National Institutes of Health (NIH)Principal Investigator
Aaron Gregory 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 novelcoronavirus 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 novelimmunogens that elicit broadly neutralizing antibodies to conserved viral epitopes, such as the receptorbinding site (RBS). Here we leverage our structure-based, "resurfacing" and glycan engineeringimmunogen design approaches for a universal influenza vaccine and extend it to COVID-19. Our ongoingstudies for influenza demonstrate that our resurfaced, heterochimeric immunogen approach substantiallyincreased the overall frequency of elicited RBS-directed responses and our glycan engineering approachcould effectively focus the immune response to a novel, conserved influenza hemagglutinin epitope; weenvision that implementing comparable immunogen design approaches for COVID-19 specificallyfocusing to its receptor-binding interface epitope would yield similar results. We intend to use thisAdministrative Supplement to generate preliminary data to show the efficacy of our approach for aCOVID-19 vaccine, and to optimize the vaccine regimen in the murine model; the data generated herewill form the basis for future studies for a universal CoV vaccine.