SBIR/STTR Research Award

RNAi-based inhibitors of stat3 for psoriasis treatment

Award identifier 1b90237127f6bbe2321b70e0aab431561bff80d7543434be7991748333b0920eAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$195,967

Program and phase

SBIR · Phase I

Award year

2006

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
Somagenics, Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
NWMCAECH9RX7
Solicitation number
PHS2006-2
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): Psoriasis is a debilitating and disfiguring skin disease affecting about 2% of the population. Existing treatments have significant side effects or, in the case of emerging biologics, are expensive and available only as systemic treatments that have to be injected and have potentially severe side-effects. Our goal is to develop RNA-based treatments that can be applied topically to inhibit specifically the expression of genes believed to be involved in the maintenance of psoriatic plaques. Topical treatment should be relatively free of side-effects and should require far lower amounts of drug and be easier for patients to self-administer than systemic treatments. In preliminary experiments we have demonstrated dramatic knock-down of endogenous genes in the skin of living mice following intradermal injection of small hairpin RNAs (shRNAs). In this project we will identify shRNAs targeting a key protein, Stat3, whose expression in keratinocytes has recently been convincingly implicated in psoriasis. These inhibitors will be tested for their ability to knock down Stat3 in cultured keratinocytes and in mouse skin. We will also test for the ability of these inhibitors to reverse the psoriasis-like features exhibited by a transgenic mouse that constitutively expresses Stat3, including epiderdermal hyperplasia. Identifying optimal methods for delivering the inhibitors to human skin will be a focus of Phase II of this SBIR project, but some topical formulations will be evaluated in Phase I along with the use of tape-stripping and/or intradermal injection to demonstrate proof of concept. This work will be collaboration with Dr. John DiGiovanni of M.D. Anderson Cancer Center, who discovered the Stat3-psoriasis connection. Psoriasis is a debilitating and disfiguring skin disease affecting about 2% of the population, and 10-30% of patients also have a form of the disease that affects the joints (psoriatic arthritis). Existing treatments have significant side effects cases or are very expensive and available only as systemic treatments that have risks of their own. Our goal is to treat affected skin with RNA-based drugs to inhibit the expression of genes known or suspected to be involved in the maintenance of psoriatic plaques.

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.

Research funding history

39 SBIR/STTR records share this UEI (1994–2020). Reported award amounts total $23,258,381. 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.