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Completed SBIR-STTR RPGS NIH (US)

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

$3.07M USD

Funder NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES
Recipient Organization Genetobe Inc.
Country United States
Start Date Sep 10, 2024
End Date Aug 31, 2025
Duration 355 days
Number of Grantees 2
Roles Co-Investigator; Principal Investigator
Data Source NIH (US)
Grant ID 11006091
Grant Description

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.

All Grantees

Genetobe Inc.

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