Epitope focusing by molecular grafting of subdominant epitopes to achieve a universal-influenza vaccine
- Funded by National Institutes of Health (NIH)
- Total publications:0 publications
Grant number: 3R01AI146779-01S1
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Key facts
Disease
COVID-19Start & end year
20192022Known Financial Commitments (USD)
$150,398Funder
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
Vaccine design and administration
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
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.