SBIR/STTR Research Award

The development of a transcriptional inhibitor for lung fibrosis.

Award identifier 63005c611c4267abd3c9934c5491e23f4dbd660c049668351ef63cac62c44c77Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$299,068

Program and phase

SBIR · Phase I

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
ALTAY THERAPEUTICS, INC
Proposal award date
2022-06-01
Contract end date
2023-05-31
UEI
DXGQLLP9NQ59
Solicitation number
PA21-259
Topic code
NHLBI

Research abstract

Abstract/Summary Idiopathic Pulmonary Fibrosis (IPF) affects 100,000 people in the US with total incidences to increase 5% every year. The 5-year survival rate of patients suffering from IPF is between 20-40%. Esbriet and Nintedanib are clinically approved treatments for IPF. Esbriet reduces risk of disease progression by 50% however, the mechanism of action is currently unknown. Nintedanib is an angiokinase inhibitor that targets more than 30 kinases including platelet-derived growth factor receptor, fibroblasts growth factor receptor and vascular endothelial growth factor receptor and in clinical trials Nintedanib reduced the decline of IPF by 50% after one year of treatment. Although Esbriet and Nintedanib are marketed to treat IPF, all patients progress despite therapy, develop advanced disease requiring oxygen and either succumb to the disease or undergo lung transplantation. Therefore, finding new treatments that both prevent and reverse fibrotic tissue are in great need. Transcriptional profiles in progressive IPF patient tissues have demonstrated significant activation of the master transcriptional regulator STAT3 determined by increased phosphorylation in SH2-dimerization domain (pSTAT3- Y705). Active STAT3 in IPF correlated with poor patient survival driven by inflammation and ECM. Furthermore, genetic evidence shows polymorphisms within IL6, STAT3 activator, was independently associated with disease progression. We hypothesize that targeting STAT3 will block multiple profibrogenic pathways and reduce inflammation and collagen accumulation in the lung. Although TFs like STAT3 are attractive therapeutic targets, they are challenging to target with small molecules because they lack clear binding pockets, have large surface areas important for protein-protein interactions and contain large intrinsically disordered domains. At Altay Therapeutics, we developed a platform that enables identification of small binding pockets within intrinsically disordered domains in previously undruggable TFs, allowing a novel druggable approach for targeting STAT3 with specific and development of potent and highly specific STAT3 inhibitors (STAT3i). We completed in-silico screening and identified inhibitors that reduced STAT3 DNA binding. Importantly, these STAT3i had minimal STAT1 inhibitory activity, low cytotoxicity and demonstrated potent inhibition of STAT3 targets and fibrosis genes. We propose three aims to identify and characterize the most promising lead and continue our efforts to develop a viable treatment for IPF based on inhibiting STAT3. In Aim 1, we will measure cellular cytotoxicity in a panel of normal cells as well as measure STAT3 target gene inhibition with Altay’s novel STAT3is. In Aim 2, we will carry out bleomycin induced IPF mouse studies with our lead STAT3is. In Aim 3, we will determine antifibrotic activity of STAT3i in precision cut lung slices isolated from IPF patients as well as measure cytokine secretion. The proposed studies will establish the potential for targeting STAT3 in treating IPF and guide new therapeutic strategies in this setting. We will then pursue an SBIR phase 2 grant that will include medicinal chemistry efforts, additional animal studies and ultimately commercialization of our STAT3 inhibitor for IPF.

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 $1,573,527. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Health and Human Services, National Science Foundation

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.