SBIR/STTR Research Award

Developing Scg3 Raptamers as a novel targeted therapy for wet AMD

Award identifier 7ca7c8cf9d3f44c22d0684a509b3761768b3b0073a21bf0500ee4b8437a96af7Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$300,016

Program and phase

SBIR · Phase I

Award year

2025

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
FANNIN PARTNERS LLC
Proposal award date
2025-09-01
Contract end date
2026-08-31
UEI
DAHAYJEBV8K1
Solicitation number
PA24-245
Topic code
NEI

Research abstract

Age-related macular degeneration (AMD) is a prevalent degenerative condition affecting the macula, particularly among individuals over 65 years old, with its global burden expected to reach 288 million cases by 2040. Neovascular AMD, or wet AMD, represents the late stage of the disease, characterized by choroidal neovascularization (CNV), and accounts for around 1.25 million cases in the United States. Current treatment involves intravitreal injections targeting vascular endothelial growth factor (VEGF) to mitigate new blood vessel leakage and enhance visual clarity. However, these treatments only slow disease progression and come with various limitations, including resistance, inadequate responses in some patients, worsened vision despite treatment, and high costs. Additionally, approximately 40% of wet AMD patients either do not respond to or develop resistance to escalated anti-VEGF treatments. While gene therapy is being explored in clinical trials for these patients, it carries significant cost burdens. This underscores the urgent need for alternative therapies that provide novel therapeutic targets, enhanced efficacy, and a lower economic burden. We aim to create an aptamer-based therapy for wet AMD using modified ssDNA aptamers (known as Raptamers™) that specifically target Secretogranin III (Scg3), a newly identified angiogenesis and vascular leakage factor. Scg3 is notably expressed in the retinal ganglion cell layer and the retinal pigment epithelium (RPE), and its abundance is particularly pronounced in the vessels associated with choroidal neovascularization (CNV). Previous research has demonstrated effective reduction of CNV in mouse models of wet AMD and Retinopathy of Prematurity (ROP) with anti-Scg3 treatment. We have used our proprietary platform to develop high affinity Raptamers composed of a ssDNA oligo backbone with amino acid side modifications. We have developed Raptamers with high binding affinity to Scg3 and have examined their ability to neutralize Scg-3-mediated angiogenic effects in vitro and in vivo. Our objective is to develop a cost effective Raptamer-based therapeutic with a safety and efficacy profile superior to existing treatments for anti-VEGF unresponsive wet AMD patients. The project has two main objectives: 1) To develop high-affinity Raptamers against Scg3, enhance them with PEGs, and characterize their affinity by measuring their dissociation constant against Scg3, as well as evaluating their neutralizing effect using angiogenesis assays; 2) To assess the in vivo efficacy and safety of Scg3 Raptamers in a laser-induced CNV mouse model. Successfully completing these studies will demonstrate the effectiveness of a novel Scg3-Raptamer-based therapy for wet AMD and provide valuable insights for further research on its potential in treating retinopathy of prematurity.

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

15 SBIR/STTR records share this UEI (2017–2025). Reported award amounts total $10,167,978. Reported amounts are not federal obligations.

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

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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