SBIR/STTR Research Award

Defining T cell epitopes in Dengue virus infection

Award identifier c69cb729d8b707dc9908a1327e9573e40c004eb9f620a39b66b6948e51ae0f2eAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$2,974,009

Program and phase

SBIR · Phase II

Award year

2012

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
IMMUNOTOPE, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
PA10-123
Topic code
NIAID

Research abstract

DESCRIPTION (provided by applicant): There is a well-recognized need to develop vaccines that stimulates humoral immunity as well as a potent T cell immunity in order to achieve protection from infection with pathogens. Although numerous investigations arefocused on developing vaccines that induce protective humoral responses, only a few studies are aimed towards developing specific T cell immunity for various infections, including dengue virus. The critical components for a successful vaccine, that provides protective T cell immunity, are the identity of specific T cell epitopes and an optimized vaccine delivery system that is capable of delivering the antigens and the adjuvants simultaneously. In the phase I of the project, we have successfully identifiedand characterized HLA-A2 (allele representing ~40% of the world population) specific conserved epitopes and have demonstrated the feasibility of epitope based vaccine for dengue infection. In the phase II of this project, we propose to extend the discovery process to identify epitopes specific for HLA- A24, the major HLA allele in Asian population and characterize both the HLA-A2 and A24 epitopes using PBL from dengue virus infected patient cohorts. In addition, we propose to characterize a vaccine formulation of these cross serotype conserved antigenic epitopes in a novel gold glyconanoparticle delivery system that incorporates Toll Like Receptor (TLR) agonist, a promiscuous synthetic T helper peptide from tetanus toxoid and the bacterial mimetic GlcNAc asadjuvants and assess in vitro and in vivo for CTL activation and toxicity to generate preclinical data. At the end of the phase II, we would have necessary preclinical data to file an IND for a pilot phase 0/I clinical evaluation of the muli-epitope-basedvaccine product that induces specific T cell responses against DV infection in HLA-A2 and A24 positive human subjects. PUBLIC HEALTH RELEVANCE: There is a well-recognized need to develop vaccines that stimulates humoral immunity as well as a potent T cell immunity in order to achieve protection from infection with pathogens. Although numerous investigations are focused on developing vaccines that induce protective humoral responses, only a few studies are aimed towards developing specific T cell immunity for various infections, including dengue virus, which causes Dengue Fever (DF) and Dengue Hemorrhagic Fever (DHF), a significant global public health problems. The overall goal of this Phase II proposal is to characterize a vaccine formulation of apanel of cross serotype conserved antigenic epitopes in a novel gold glyconanoparticle delivery system for the development of a universal vaccine against dengue infection.

Technology keywords

Not reported

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.