Carvacrol attenuates cyclophosphamide-induced oxidative stress in rat kidney
Bibliographic record
Abstract
Cyclophosphamide (CP) is an antineoplastic drug that induces kidney damage via producing oxidative stress. Carvacrol (CAR) has antioxidative effect and we postulated that it can be protective against CP-induced nephrotoxicity. Six groups (n = 7) of rats (control, 100 mg/kg CP, CP+5 mg/kg CAR, CP+10 mg/kg CAR, 5 mg/kg CAR, and 10 mg/kg CAR) were injected intraperitoneally. Serum malondialdehyde (MDA), glutathione (GSH), superoxide dismutase (SOD), catalase (CAT), creatinine (CRE), total antioxidant capacity (TAC), and total oxidant state (TOS) were measured, and oxidative stress indexes (OSI) were calculated. Kidneys were also analyzed histologically. In CP-alone group MDA, CRE, TOS, and OSI levels increased whereas GSH, SOD, CAT, and TAC levels decreased compared with control group. In CP plus CAR groups, MDA, TOS, and OSI levels decreased whereas GSH, SOD, CAT, and TAC levels increased compared with CP-alone group. However, CRE levels were similar in CP-alone and CP+5 CAR group whereas decreased in CP+10 CAR group. CP+10 CAR group was significantly different in all parameters (except TAC) from CP+5 CAR group. Kidney microscopy was showed lower tissue damage in CP plus CAR groups. In conclusion, 10 mg/kg CAR is more effective than 5 mg/kg CAR in prevention of CP-induced oxidative damage on kidney.
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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 | 0.001 |
| 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".