Carvacrol prevents methotrexate-induced renal oxidative injury and renal damage in rats
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to investigate the effect of carvacrol (CAR) on methotrexate (MTX)-induced renal damage in rats. METHODS: Twenty-four male rats were equally divided into three groups: group I, control treatment; group II, MTX-treated; and group III, MTX+CAR-treated. A single dose of CAR (73 mg/kg) was administered intraperitoneally to group III on the first day of the experiment and a single dose of MTX (20 mg/kg) was administered intraperitoneally to groups II and III on the second day of the experiment. Blood samples and kidney tissue were obtained from each animal on day 8 for the measurement of malondialdehyde (MDA), total oxidant status (TOS), total antioxidant status (TAS), and oxidative stress index (OSI). Light microscopy was used for histopathological examination of kidney specimens. RESULTS: MDA, TOS and OSI levels were significantly greater in the group receiving MTX alone relative to the control animals, while the TAS level was significantly reduced in the MTX group compared with the control group. The administration of CAR was associated with significantly decreased MDA, TOS, and OSI levels and increased TAS levels relative to the rats treated with MTX alone. Animals treated with CAR exhibited decreased tubular degeneration and architectural impairment relative to animals treated with MTX alone; however, the difference in histological scores did not meet the threshold of statistical significance. CONCLUSIONS: MTX treatment results in oxidative damage to the rat kidney; damage which is partially abrogated by the administration of CAR.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".