SBIR/STTR Research Award

Novel Selective SGLT-1 Inhibitors for Adjunctive Therapy for Cystic Fibrosis Associated Metabolic Diseases

Award identifier 9c49266262889dd13f8a683b852938ef9cb9b5e13417cf6bd3f9ac08a39e307aAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$306,779

Program and phase

STTR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
GENETOBE INC
Proposal award date
2024-09-10
Contract end date
2025-08-31
UEI
FXRCJNY4PJL1
Solicitation number
PA23-232
Topic code
200

Research abstract

PROJECT SUMMARY CF associated metabolic diseases including CF-associated liver disease (CFLD) and CF-related diabetes (CFRD) are leading extrapulmonary causes of mortality in CF. In 2019, the US Food and Drug Administration (FDA) approved Trikafta for CF. Of concern, clinical follow-up studies show that Trikafta, despite its significant benefits on pulmonary function, may worsen metabolic related conditions. How to mitigate CFLD and CFRD in the post- Trikafta era now becomes a priority research topic. Genetobe is a small business that is dedicated to the development of therapies for rare diseases. In the present work, we propose to develop novel, selective, sodium-dependent glucose cotransporter 1 (SGLT1) compounds as an adjunctive therapy for CF. This is based on the following considerations: (i) the novel CF rabbit model that the PI has developed manifests many key features of CF related metabolic disorders; (ii) the PI’s team recently reported that SGLT1, but not SGLT2, is upregulated in CF affected organs in CF rabbits and CF patient samples; (iii) many SGLT inhibitor drugs have gained successes in recent years, treating diabetes as well as additional indications (e.g., heart failure). However, all these drugs on the market are more SGLT2 selective than SGLT1 selective; (iii) the GeneToBe team have many prior successes in developing small molecule compounds including Lipitor and Vizimpro. Here we hypothesize that SGLT1 selective inhibition will mitigate CF metabolic disorders and provide additive benefits to CF patients taking Trikafta as a primary medicine. In Phase I, we’ll use artificial intelligence (AI) assisted drug design and rational drug design to identify novel SGLT1 inhibitor compounds. These will be prioritized, synthesized and characterized. In Phase II, we will conduct preclinical experiments in CF rabbits that carry the most prevalent CF mutation (i.e., dF508) to test if SGLT1 inhibition by novel compounds discovered in Phase I can alleviate CF associated metabolic disorders, with a focus on CFLD and CFRD, in combination with Trikafta which is now the first-line medicine for CF patients with the dF508 mutation. The success of our work will introduce a first-in-class orally available SGLT1 selective compound as a potential adjunctive therapy for treating CF associated metabolic diseases.

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

5 SBIR/STTR records share this UEI (2022–2024). Reported award amounts total $3,095,494. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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