New strategy for gastrointestinal protection based on gaseous mediators application
Bibliographic record
Abstract
The aim of review. To assess protective mechanisms and efficacy of gaseous mediators based antiinflammatory therapy. Key points. Nowadays there are no reasonable and effective methods of prevention and treatment of NSAID-induced intestinal lesions. The discovery of powerful anti-inflammatory and cytoprotective effects of endogenous gaseous mediators (nitric oxide, hydrogen sulfide, carbon monoxide) led to development of new combined nonsteroidal anti-inflammatory drugs (NSAIDs), which in addition to cyclooxygenase inhibitor include gas-releasing molecules. One of such molecules is hydrogen sulfide (H2S) - the gaseous mediator that is produced under physiological conditions. H2S provides a powerful cytoprotective, antiinflammatory and antioxidant effects, optimizes the intestinal microbiota and improves gastroinesinal protection directly and through stimulation of other cytoprotectors, including prostaglandins, carbon monoxide and nitric oxide. Conclusion. Application of H2S-releasing NSAIDs provides powerful protection of the gastrointestinal tract, while maintaining and/or enhancing the antiinflammatory effect. H2S-releasing anti-inflammatory drugs show considerable promise as a safer option for treating chronic inflammatory diseases.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".