Rare & Orphan Lab · DeCure for X

DeCure for Epithelial-stromal TGFBI dystrophy

DeCure's autonomous Rare AI scientist is researching a drug-repurposing hypothesis for epithelial-stromal TGFBI dystrophy — screening already-approved drugs against its 1-gene Open Targets disease module to publish open-access research. Research is fast; the path to publication is funded in milestone stages.

Disease module1 genesLead labRare & Orphan
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Rare & OrphanDOID:0060441$DeCureRare

The disease map

Disease moduleEpithelial-stromal TGFBI dystrophy maps to a 1-gene Open Targets module — the target space DeCure's AI scientist screens approved drugs against.
DeCure.ai methodSignature reversal (LINCS) plus network proximity (STRING) rank already-approved drugs likely to perturb this module — the same engine that produces DeCure.ai's repurposing hypotheses.
Repurposing thesisScreening approved medicines against this disease module, then publishing the evidence for the strongest candidate. Known pharmacology and human exposure data make the first question sharper — they do not establish safety or efficacy in a new indication.

Research record

01
ResearchComing soon
Candidate research + dossier — target rationale, drug-repurposing thesis and evidence pack.proof: Published dossier + on-chain hash
02
ValidationComing soon
In-vitro biological validation at a contract research org (CRO).proof: CRO contract + in-vitro report
03
Peer review & paperComing soon
Peer-reviewed paper published open-access (preprint + journal).proof: DOI + open-access link + on-chain hash

Current lead

No approved-drug candidate for epithelial-stromal tgfbi dystrophy is corroborated in the literature DeepSearch retrieved. Some conditions are managed with non-pharmacological care — a device, surgery or physical therapy — rather than a medicine; that may be the case here, or the literature we found may simply be too sparse yet to support a drug-repurposing angle.

Molecular view

transforming growth factor beta induced (TGFBI)TGFBI is one of the genes genetically linked to this disease in Open Targets — shown as context, not as a drug target we're pursuing: no approved-drug candidate for this disease is yet corroborated in the literature we found.

Loading structure…
helix sheet apo structuredrag to rotate · scroll to zoom

RCSB Protein Data Bank · entry 5NV6 · 2.93 Å · ligand none (apo structure). Experimental structure, not a prediction.

Evidence

Retrieved by DeepSearch across 234,678,978 indexed works and resolved on OpenAlex — ranked by citations, including the results that did not work.

British Journal of Ophthalmology · 2008 · 26 citations

TGFBI (BIGH3) gene mutations in German families: two novel mutations associated with unique clinical and histopathological findings

AbstractBACKGROUND: To report the clinical, histopathological and immunohistochemical findings of two novel mutations within the TGFBI gene. METHODS: The genotype of 41 affected members of 16 families and nine sporadic cases was investigated by direct sequencing of the TGFBI gene. Clinical, histological and immunohistochemical characteristics of corneal opacification were reported and compared with the coding region changes in the TGFBI gene. RESULTS: A novel mutation Leu509Pro was detected in one family with a geographic pattern-like clinical phenotype. Histopathologically we found amyloid together with non-amyloid deposits and immunohistochemical staining of Keratoepithelin (KE) KE2 and KE15 antibodies. In two families and one sporadic case the novel mutation Gly623Arg with a late-onset, map-like corneal dystrophy was identified. Here amyloid and immunohistochemical staining of only KE2 antibodies occurred. Further, five already known mutations are reported: Arg124Cys Arg555Trp Arg124His His626Arg, Ala546Asp in 13 families and five sporadic cases of German origin. The underlying gene defect within the TBFBI gene was not identified in any of the four probands with Thiel-Behnke corneal dystrophy. CONCLUSIONS: The two novel mutations within the TGFBI gene add another two phenotypes with atypical immunohistochemical and histopathological features to those so far reported.

https://doi.org/10.1136/bjo.2008.142927
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · 2004 · 0 citations

Faculty Opinions recommendation of TGF-beta signaling in fibroblasts modulates the oncogenic potential of adjacent epithelia.

AbstractStromal cells can have a significant impact on the carcinogenic process in adjacent epithelia. The role of transforming growth factor-beta (TGF-beta) signaling in such epithelial-mesenchymal interactions was determined by conditional inactivation of the TGF-beta type II receptor gene in mouse fibroblasts (Tgfbr2fspKO). The loss of TGF-beta responsiveness in fibroblasts resulted in intraepithelial neoplasia in prostate and invasive squamous cell carcinoma of the forestomach, both associated with an increased abundance of stromal cells. Activation of paracrine hepatocyte growth factor (HGF) signaling was identified as one possible mechanism for stimulation of epithelial proliferation. Thus, TGF-beta signaling in fibroblasts modulates the growth and oncogenic potential of adjacent epithelia in selected tissues. PMID: 14764882 Funding information This work was supported by: NIDDK NIH HHS, United States Grant ID: DK46282 NCI NIH HHS, United States Grant ID: CA85492 NCI NIH HHS, United States Grant ID: CA68485 NCI NIH HHS, United States Grant ID: CA102162 NIAMS NIH HHS, United States Grant ID: AR41943

https://doi.org/10.3410/f.1017247.202362

Disease module: DeepOracle (Open Targets). Structures: RDKit from PubChem SMILES. Literature: retrieved by DeepSearch across 234,678,978 indexed works (targeted per-candidate search), resolved on OpenAlex.

DeCure is a research and publication project, not medical advice and not a treatment. "DeCure for X" describes a research goal, not a claim that a cure exists. Backing a cure is a contribution to fund the research — it is not an investment, and confers no yield, royalty, equity or IP ownership. Papers are published open-access by the DeCure.ai DAO.