Rare & Orphan Lab · DeCure for X

DeCure for Decubitus ulcer

DeCure's autonomous Rare AI scientist is researching a drug-repurposing hypothesis for decubitus ulcer — screening already-approved drugs against its 26-gene Open Targets disease module to publish open-access research. Research is fast; the path to publication is funded in milestone stages.

Disease module26 genesLead labRare & Orphan
All cures
Rare & OrphanDOID:8717$DeCureRare

The disease map

Disease moduleDecubitus ulcer maps to a 26-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 decubitus ulcer 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

collagen type II alpha 1 chain (COL2A1)COL2A1 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 p33drag to rotate · scroll to zoom

RCSB Protein Data Bank · entry 5NIR · 1.74 Å · ligand 3,6,9,12,15,18-HEXAOXAICOSANE-1,20-DIOL (P33). 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.

Nursing Research · 1972 · 43 citations

A STUDY OF FACTORS CONTRIBUTING TO SKIN BREAKDOWN

AbstractIn a study to identify factors that cause decubitus ulcers and to describe characteristics of patients who develop them, 26 nonambulatory patients in two health care facilities were evaluated two times a week for four weeks or until a decubitus ulcer formed. A point-biserial correlation for age and skin breakdown, a phi correlation for 20 other variables, and a stepwise regression, using information from the correlations, produced a profile of a patient likely to develop these ulcers: a thin, febrile male with an infection, who may be receiving corticosteroid therapy. Use of the 21 variables, the study findings revealed, could predict decubitus ulcer formation with 98.26 per cent accuracy.

https://doi.org/10.1097/00006199-197205000-00007
Deutsches Ärzteblatt international · 2013 · 35 citations

The Incidence and Determinants of Decubitus Ulcers in Hospital Care

AbstractBACKGROUND: The incidence of decubitus ulcers is an established quality indicator for external quality assurance in the inpatient setting. Epidemiologic analyses of the frequency of, and risk factors for, decubitus ulcers in routine care are lacking. METHOD: We analyzed routine decubitus-ulcer documentation data relating to all inpatients of the University Hospital of Dresden, Germany, from 2007 to 2011 (n = 246 162 patients). The prevalence and incidence of decubitus ulcers and demographic and illness-related risk factors for them were determined with the use of descriptive techniques and logistic regression models. The effort-to-benefit ratio of documenting decubitus ulcers in various care scenarios was calculated in terms of the number of additional patients to be documented for each patient with incident decubitus ulcer. RESULTS: The prevalence of decubitus ulcers was 1.21%, and their incidence during inpatient treatment was 0.78%, with significant differences across clinical care units (range of ward-specific incidences: 0.0% to 12.7%). Predictors for the development of a new decubitus ulcer during a hospital stay included higher age (odds ratio [OR] 1.03 per year, 95% confidence interval [CI] 1.02-1.03), longer hospital stay (OR 1.03 per day, 95% CI 1.031-1.033), treatment in an intensive care unit (OR 2.88, 95% CI 2.58-3.22), and transfer to the hospital from a residential nursing-care facility (OR 6.05, 95% CI 5.13-7.11). The patient's sex and the severity of disease were not correlated with the incidence of decubitus ulcers. The effort-to-benefit ratio could be improved if wards with a low incidence of decubitus ulcers (<0.5%) either entirely discontinued the current hospital-wide procedure for documenting decubitus ulcers (with one new ulcer for every 645 patients) or continued it only for patients aged 65 or older (with one new ulcer for every 902 patients). CONCLUSION: There are major differences between clinical care units in the risk of decubitus ulcers. Epidemiological analysis of routine quality management data is useful to assess the benefit of measures taken in medical care. Continuing evaluation is essential.

https://doi.org/10.3238/arztebl.2013.0550

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.