The gastroprotective effect of <i>N</i>-acetylcysteine and genistein in indomethacin-induced gastric injury in rats
Bibliographic record
Abstract
The protective effect of N-acetylcysteine (NAC) and genistein (GEN) on an experimental model of indomethacin (IND)-induced gastric injury was investigated. A total of 50 male rats were divided into 5 groups: (1) control, (2) IND, (3) NAC pretreated, (4) GEN pretreated, and (5) NAC+GEN pretreated. Rats in groups 3–5 were orally administered NAC (500 mg/kg), GEN (10 mg/kg), or both, respectively, once daily for 7 days before the induction of gastric injury by IND (50 mg/kg). The stomach was removed for biochemical analysis and histopathological examination. Pretreatment with NAC, GEN, or both significantly improved ulcer indices and increased nitric oxide level and superoxide dismutase activity. They also significantly decreased malondialdehyde, tumour necrosis factor α levels, and myeloperoxidase activity, and downregulated matrix metalloproteinase 9 (MMP-9) gene expression compared to the IND group. NAC alone ameliorated IND-induced apoptosis, whereas GEN only significantly increased prostaglandin E2 level. Further, coadministration of both resulted in a significantly better gastroprotective effect versus solo administration. Coadministration of NAC and GEN has an additive gastroprotective effect in IND-induced gastric injury, which may be through interaction of their potential cytoprotective, antioxidant, anti-inflammatory, and antiapoptotic mechanisms together with regulation of MMP-9 expression.
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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 | 0.000 | 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".