Role of Rosiglitazone as a Gastroprotective Agent Against Indomethacin-Induced Gastric Mucosal Injury in Rats
Bibliographic record
Abstract
Background : Rosiglitazone, an insulin sensitizing agent, has been recently implicated in the control of inflammatory processes and modulation of expression of various cytokines such as tumor necrosis factor (TNF-alpha). However, its mechanistic effect of gastric mucosal integrity remains to be elucidated. Methods : The present study was designed to determine effect of rosiglitazone on gastric mucosal lesions induced by indomethacin (IND) in rats. Pyloric ligation was performed for the collection of gastric juice, and gastric ulceration was induced by a single intraperitoneal injection of IND (30 mg/kg). Results : IND administration caused a significant decrease in the volume of gastric juice mucin and gastric mucosal nitrite and prostaglandin E 2 (PGE 2 ) levels. This was accompanied by a significant increase in gastric juice free and total acidity and pepsin activity. In addition, an elevation in the gastric mucosal lipid peroxide and serum TNF-alpha level was observed. Pretreatment with rosiglitazone (10 mg/kg, orally, for 1 weeks) resulted in a significant reduction in the elevated gastric mucosal lesions and lipid peroxides levels. This was associated with a marked increase in gastric juice mucin and a reduction in TNF-alpha level. Moreover, rosiglitazone significantly increased the gastric mucosal total nitrite and PGE 2 levels. Conclusions : Rosiglitazone exerts a gastroprotective effect against IND-induced gastric mucosal lesions and its anti-ulcer effect is mediated via scavenging free radicals, increasing NO, PGE 2 and mucus production in addition to its anti-inflammatory mechanisms. Thus, rosiglitazone could be a relevant drug for patients taking non-steroidal anti-inflammatory drugs (NSAIDs) and at high risk of developing gastric ulceration. Gastroenterol Res. 2009;2(6):324-332 doi: https://doi.org/10.4021/gr2009.12.1328
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".