SBIR/STTR Research Award

Development of a first-in-class antiviral to address CMV drug resistance in immunocompromised patients

Award identifier 8dc406fd18eb96ff4a1366097d23c907b160eabc8b730bb24317d39f48863280Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$300,000

Program and phase

STTR · Phase I

Award year

2023

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
VXBIOSCIENCES, INC.
Proposal award date
2023-09-12
Contract end date
2024-08-31
UEI
WY7EALRMMHL7
Solicitation number
PA22-178
Topic code
NIAID

Research abstract

ABSTRACT Human cytomegalovirus (CMV) infects a majority of the world’s population and is a leading cause of disease in transplant patients and newborns, accounting for more congenital birth defects than Down’s syndrome, spina bifida, or fetal alcohol syndrome. There is no approved vaccine and all current antiviral therapies for CMV prevention or treatment suffer from toxicity and a low barrier to the evolution of resistance. Consequently, there is an urgent unmet medical need for effective CMV antivirals that have a high barrier to the evolution of drug resistance. The mission of VxBiosciences is to develop escape-resistant or resistance-proof therapeutics. The long-term goal of this work is to develop and clinically translate a first-in-class antiviral that effectively overcomes CMV antiviral resistance. The specific objectives of this proposal are: (i) to establish in vivo efficacy and dosing of a first-in-class ‘escape-resistant’ nucleic-acid lipid nanoparticle (LNP) that targets viral transcriptional circuitry via use of an animal-specific analog (i.e., ‘surrogate’); and (ii) to develop a GMP-grade formulation of the drug product to enable collection of IND-enabling GLP-toxicology data. The proposed antiviral builds off our studies mapping an essential transcriptional feedback circuit in CMV (Teng et al. 2012; Vardi et al. 2018; Chaturvedi et al. 2020), our work isolating feedback disruptors (FD) molecules that inhibit CMV (Chaturvedi et al. 2022), and recent data showing the systemic delivery of the drug product inhibits CMV in multiple organs in mice, and halts systemic disease to dramatically increase survival of infected immunocompromised mice. These extensive preliminary data establish proof-of-concept that the FD drug substance displays strong CMV antiviral efficacy in vitro and in vivo and have a very high genetic barrier to the evolution of resistance. The rationale for the LNP- FD drug product approach rests upon FDA-approval and safety profiles of LNP nanomedicines (e.g., Onpattro) and our successful development of LNP-based drug products for other viruses. Based on our extensive preliminary data, our central hypothesis is that LNP-FDs will constitute a safe, effective antiviral strategy with a high barrier to the evolution of resistance. The proposal’s rigor rests upon our published studies, our GMP- production expertise, and our experience shepherding first-in-class antivirals through the FDA to clinical trials. The Phase-I specific aims will evaluate efficacy and safety in vivo using a surrogate molecule (based on existing FDA precedent for use of surrogates) and the expected outcome is reduced CMV disease and improved survival in this physiologically-relevant model. Phase-II specific aims will establish of GMP-grade production of the antiviral and collect IND-enabling data. The payoff of these studies will be to establish feasibility of a first-in- class nanomedicine targeting transcriptional circuitry and demonstrate that such therapeutic strategies have high barriers to the evolution of resistance. Based on pilot studies showing low toxicity, the drug product may ultimately be a viable intervention for congenital CMV infections. Ultimately, approval of a therapeutic targeting viral transcriptional circuitry could enable a new class of antivirals with high barriers to resistance.

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.