SBIR/STTR Research Award

A method for accurate and sensitive detection of HIV drug-resistant minority variants

Award identifier ee244f941733a064f8fdaf12831fa884814aa579e516b6057268cfe43bb89010Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,999,999

Program and phase

STTR · Phase II

Award year

2022

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
Medosome Biotec, LLC
Proposal award date
2022-07-20
Contract end date
2024-06-30
UEI
MJJJFTJE1SB5
Solicitation number
PA20-265
Topic code
NIAID

Research abstract

PROJECT SUMMARY / ABSTRACT Drug resistance to HIV is a major threat to achieving long-term viral suppression in HIV+ individuals. Up to 16% of newly infected individuals acquire HIV with resistance to at least one of the major antiretroviral classes, and incomplete viral suppression and virologic failure are often associated with drug resistance. Therefore, current DHHS guideline recommends drug resistance testing before beginning or changing antiretroviral therapy. Genotypic assay based on population or bulk sequencing is the most commonly used method to determine HIV drug resistance mutations. However, because HIV circulates as quasispecies in vivo, current commercial assays are not sensitive in detecting minority drug resistant variants, which are known to compromise clinical response to antiretroviral therapy. Therefore, an accurate and sensitive assay that is capable of detecting drug resistant minority populations is urgently needed to guide rational selection of optimal antiretroviral therapy. In Phase I STTR studies, we have developed a Single Variant Sequencing (SVS) approach, which takes advantage of the speed and accuracy of the high-throughput MiSeq technology, and a random sequencing tags strategy that removes biases and technical artifacts known to obscure true representations of minority variants. We successfully optimized the primers, amplification and sequencing conditions for the PR and RT regions of subtype B HIV-1, and determined the sensitivity, specificity and precision of the assay. We showed that authentic minority variants present at 1% of quasispecies were detected accurately and reproducibly with minimal variations between technical replicates. Building on our success, this Phase II STTR application will complete the development of the assay by expanding to drug resistant loci in the integrase gene and subtype C viruses, and then experimentally validate and commercialize the SVS assay via four Specific Aims: 1) Complete the development of an optimized SVS assay for sensitive quantification of HIV-1 subtype B and C drug resistance minority variants in RT, PR and IN genes, 2) Experimentally validate the SVS assay using well characterized molecular clones and viruses, 3) Conduct pre- market evaluation using real-world clinical samples, and 4) Validate the SVS assay in Medosome’s CLIA certified and CAP accredited Florida licensed clinical genetic testing laboratory. An accurate and sensitive low cost SVS assay will have tremendous commercialization potential, given the global burden of HIV with more than 35 million HIV+ individuals requiring resistance testing at least once.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

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

Research funding history

18 SBIR/STTR records share this UEI (2015–2024). Reported award amounts total $12,914,262. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

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.