SBIR/STTR Research Award

Commercialization of PANDAA qDx for rapid drug resistance genotyping of protease inhibitor ART failures in resource-limited settings.

Award identifier 276090d8daccdd484bd7a9508d41613e3f816a49d8fc63547dea1b630774cb31Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$2,932,453

Program and phase

SBIR · 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
ALDATU BIOSCIENCES INC
Proposal award date
2022-08-19
Contract end date
2025-07-31
UEI
N29WVC3UJCB9
Solicitation number
PAR20-129
Topic code
NIAID

Research abstract

In 2020, 20M adults living with HIV in low- and middle-income countries (LMICs) are estimated to be receiving first-line antiretroviral therapy (ART) and this is expected to increase to 23.6M by 2024. This increase in access to first-line ART will have a cascade effect on the number of patients prescribed alternative, second-line protease- inhibitor (PI)-based ART following first-line ART failure. Studies of patients on PI-based ART have shown high rates of virologic failure at 12 and 24 months on ART, and patients maintained on failing PI-based regimens accumulate drug resistance mutations (DRMs) that hamper current and future treatment options. Despite calls for improved access to HIVDR diagnostics, the persistent urgent and unmet need for resistance genotyping has not been met, prohibiting the appropriate allocation of expensive third-line ART options. Early identification of second-line ART patients unable to achieve virologic suppression in the absence of HIV drug resistance (HIVDR) is crucial to prevent disease progression and curb HIV transmission. When virologic failure is adherence- mediate, third-line ART is unlikely to improve patient outcomes, while increasing healthcare system costs, and prematurely restricting future treatment options. Aldatu’s pioneering technology, PANDAA, uses adaptation to enable qPCR for DRM genotyping despite the high genomic variability of HIV. Our Phase II award preceding this CRP used PANDAA to successfully develop the first diagnostic for simultaneous focused genotyping of six resistance-conferring positions in the protease gene, and the K65R and M184VI DRMs. PANDAA accurately genotypes DRMs present ≥10% where conventional qPCR fails, with excellent sensitivity: as few as 100 DRM copies detected reproducibly even with allelic variants with known mismatches in the probe-binding sites. In this CRP, we build upon our recent product commercialization experience in the USA to create a diagnostic product for marketing and sale in LMICs. In the first year we will expand our existing quality management system (QMS) to be compliant with international standard for medical device manufacturing. This will align our manufacturing processes to achieve CE marking as an in vitro diagnostic (IVD). Concurrent with the establishment of our QMS we will expand our in-house manufacturing practices such that by the end of the second year we will have the capacity for the GMP production of ≥800, CE IVD HIVDR genotyping tests per a week in an ISO 134585-certified facility. This will be coordinated with implementing our go-to-market strategy to introduce the product in 3-5 short list countries, and we will have identified and vetted clinical study partners, distributors, and other regional partners to support Aldatu in negotiations and contracting with local partners and facilitating engagement with Ministries of Health. Our go-to-market launch will be preceded by early site evaluations by collaborators in key target markets where they will perform side-by-side comparisons with Sanger sequencing and evaluate our software. The net result will be the manufacturing and regulatory qualification of an HIVDR genotyping diagnostic that significantly reduces test complexity, time burden and costs, without sacrificing accuracy.

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

9 SBIR/STTR records share this UEI (2015–2024). Reported award amounts total $17,409,633. Reported amounts are not federal obligations.

Phases: Phase II, Phase II – Direct to Phase II, Phase I

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.