Adjuvant potential of selegiline in treating acute toxicity of aluminium phosphide in rats
Bibliographic record
Abstract
) gas, which results in severe toxicity in poisoned subjects. Selegiline is a monoamine oxidase inhibitor with antioxidant and anti-apoptotic properties, which is mostly prescribed for the treatment of mood disorders and Parkinson's disease. Since AlP has detrimental effects on cardiac physiology and mitochondrial function, we tested the protective effects of acute selegiline treatment on cardiac mitochondrial function, redox status and electrocardiographic parameters in rats after AlP poisoning. To do this, AlP was given to rats by gavage to induce toxicity. Selegiline was injected intraperitoneally in the treatment groups 1 hour after AlP poisoning. Selegiline treatment after AlP intoxication was not associated with a significant difference in the mortality rate of animals. However, selegiline reduced oxidative stress (decreased the reactive oxygen species and malondialdehyde) and increased glutathione in the cardiac tissue of rats exposed to AlP. Further, the mitochondrial membrane potential (ΔΨm) collapse reversed after treatment with selegiline. Selegiline also improved the electrocardiographic (ECG) parameters and enhanced heart rate. The histopathological evaluation revealed that selegiline eliminated the inflammation and injuries induced by AlP in the stomach and duodenum, as well as cardiac tissue. In conclusion, selegiline treatment can ameliorate the AlP-induced cardiac and gastrointestinal injuries in rats via boosting redox status and mitochondrial function with no significant effect on survival. We suggest that using selegiline, apart from other clinical treatments, may improve the quality of treatment process for AlP toxicity.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".