Efficacy of Superoxide Dismutase Mimetic M40403 in Attenuating Radiation-Induced Oral Mucositis in Hamsters
Bibliographic record
Abstract
PURPOSE: M40403 is a small-molecule superoxide dismutase mimetic that has shown efficacy in animal model disease states in which superoxide anions are thought to play a key role. Radiation treatment and chemotherapy for cancer generate free oxygen radicals that are hypothesized to trigger unwanted side effects in healthy tissue. For some patients undergoing these antineoplastic treatments, one of the most prevalent side effects is oral mucositis, which is a painful, often dose-limiting condition. Preclinical and clinical studies of this condition have shown the positive effect of treatment with compounds that decrease free oxygen radicals. This study investigated the efficacy M40403 in a clinically relevant hamster model of acute, radiation-induced oral mucositis. METHODS: Oral mucositis was induced in hamsters by irradiation of the cheek pouch. The ability of i.p. administered M40403 to decrease the duration and severity of oral mucositis was assessed after treatment at different doses and dosing schedules. Oral mucositis was scored using the WHO grading scale. RESULTS: Compared with placebo-treated animals, those irradiated on day 0 and treated twice daily with 30 mg/kg M40403 had significantly less severe and shorter duration mucositis over a range of treatment schedules, including from days -1 to 3, day 0 to 3, and day 0 alone. Similar efficacy was achieved at doses of 10 and 3 mg/kg twice daily on days -1 to 3. CONCLUSIONS: These results implicate free oxygen radicals in the onset of oral mucositis and also provide the basis for further development of M40403 in the prevention of this condition in at-risk cancer patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".