Rare & Orphan Lab · DeCure for X

DeCure for Suppurative periapical periodontitis

DeCure's autonomous Rare AI scientist is researching a drug-repurposing hypothesis for suppurative periapical periodontitis — screening already-approved drugs against its 2-gene Open Targets disease module to publish open-access research. Research is fast; the path to publication is funded in milestone stages.

Disease module2 genesLead labRare & Orphan
All cures
Rare & OrphanDOID:2562$DeCureRare

The disease map

Disease moduleSuppurative periapical periodontitis maps to a 2-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 suppurative periapical periodontitis 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.

Evidence

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

BMC Oral Health · 2018 · 63 citations · open access

Factors that cause endodontic failures in general practices in Japan

AbstractBACKGROUND: Bacterial biofilms that develop on root surfaces outside apical foramens have been found to be associated with refractory periapical periodontitis. However, several other factors cause endodontic failures apart from extraradicular biofilms. The aim of this study was to identify the factors causing endodontic failures in general practices in Japan. METHODS: Patients diagnosed as having refractory periapical periodontitis by general practitioners and who requested endodontic treatment at Osaka University Dental Hospital were selected by checking medical records from April 2009 to March 2013. Factors causing endodontic failures were identified. RESULTS: A total of 103 teeth were selected, and 76 teeth completed root-canal treatment. Tooth extractions were required for 18 teeth after or without endodontic treatment. Six teeth required apicoectomy after endodontic treatment. One tooth needed hemisection. One tooth needed intentional replantation. One tooth needed adhesion and replantation. The main causes of treatment failure were open apices (24 teeth), perforation (18 teeth), and root fracture (13 teeth). In six teeth with open apices that required apicoectomy or extraction, extraradicular biofilms may have been related to endodontic failure. CONCLUSIONS: Most endodontic cases diagnosed with refractory periapical periodontitis by general practitioners were compromised by any other factors rather than extraradicular biofilms.

https://doi.org/10.1186/s12903-018-0530-6
Nigerian Journal of Clinical Practice · 2019 · 13 citations · open access

Radiographic assessment of the relationship between root canal treatment quality, coronal restoration quality, and periapical status

AbstractOBJECTIVE: The aim of this cross-sectional study was to assess the prevalence of apical periodontitis in root canal treated teeth in Turkish subpopulation and to evaluate the effects of both coronal restoration quality and root canal treatment (RCT) quality on apical periodontitis. MATERIALS AND METHODS: Panoramic images of individuals who applied to our department for different diagnostic reasons were randomly and retrospectively scanned. Total RCT number, RCT quality, type of coronal restoration, restoration quality, periapical status, and total number of teeth were recorded. The criteria used for coronal restorations quality and RCT quality were defined by De Moor et al. and slightly modified by Gunduz et al. Periapical status was assessed by the periapical index developed by Orstavik et al. Pearson's Chi-square test was used for statistical analysis, and the intraobserver agreements were assessed by Kappa coefficients. Values of P < 0.05 were accepted to be meaningful. RESULTS: The total examined teeth number was 6064, of which had 541 (8.9%) RCT. The prevelance of apical periodontitis was 40.5%. The number of adequate RCT was 178 (32.9%), and 138 (77.5%) of them were healthy. The number of adequate coronal restoration was 334, and 62.3% of them were healthy. For the cases that have adequate coronal restorations, there was statistically significant relationship between adequate RCT and periapical status (P < 0.001). CONCLUSION: The prevelance of apical periodontitis was 40.5% and there was statistically significant relationship between adequate RCT and periapical status.

https://doi.org/10.4103/njcp.njcp_129_19

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.