Anticonvulsant activity of oxaprozin in a rat model of pentylenetetrazole-induced seizure by targeting oxidative stress and SIRT1/PGC1α signaling
Bibliographic record
Abstract
The effect of oxaprozin (OXP) on an experimental model of seizures in rats was investigated in this study. Seizures in Wistar rats (200–250 g) were induced by pentylenetetrazole (PTZ, 60 mg/kg). The anticonvulsant effect of OXP (100, 200, and 400 mg/kg, intraperitoneally) was evaluated in a seizure model. After behavioral tests, the animals underwent deep anesthesia and were put down painlessly. Animal serum was isolated for antioxidant assays (nitric oxide (NO) and glutathione (GSH)). The animals' brains were also isolated to gauge the relative expression of genes in the oxidative stress pathway (sirtuin 1 (Sirt1) and peroxisome proliferator-activated receptor gamma coactivator 1-alpha (Pgc1α)). Intraperitoneal injection of OXP increased the mean latency of myoclonic jerks and generalized tonic–clonic seizure (GTCS) and decreased the number of myoclonic jerks and GTCS duration compared with the PTZ group. Biochemical tests showed that pretreatment with OXP was able to restore GSH serum levels and reverse the augmented NO serum levels caused by PTZ induction to the normal level. The quantitative polymerase chain reaction results also revealed that OXP counteracts the negative effects of PTZ by affecting the expression of the Sirt1 and Pgc1α genes. Overall, this study suggests the potential neuroprotective effects of the nonsteroidal, anti-inflammatory OXP drug in a model of neural impairment caused by seizures via the mechanism of inhibition of the oxidative stress pathway.
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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".