Cardiorenal protective effect of taurine against cyclophosphamide-induced toxicity in albino rats
Bibliographic record
Abstract
Cyclophosphamide (CP) is a cytotoxic alkylating agent used in the treatment of malignant diseases and autoimmune disorders. Its clinical use is limited to its marked cardiorenal toxicity. The present study aimed to investigate the possible protective role of taurine (Tau; 200 mg·kg −1 per day, i.p.) on CP-induced cardiorenal toxicity. CP (200 mg·kg −1 ) was administered as a single intraperitoneal injection whereas; Tau was administered for 3 weeks on a daily basis. The results showed that CP produced an elevation in serum activities of creatine kinase, creatine kinase isoenzyme, lactate dehydrogenase, creatinine as well as blood urea nitrogen. CP also induced an elevation in the oxidative stress markers viz. elevation in the serum lipid peroxides level (measured as malondialdehyde; MDA) and reduction in reduced glutathione level and superoxide dismutase activity in both heart and renal tissue. On the other hand, administration of Tau attenuated the CP-evoked disturbances in the above mentioned parameters. In addition, CP exhibited electrocardiographic (ECG) changes, which were significantly reversed by Tau treatment. Finally, the histopathological examination emphasized the obtained results. In conclusion, Tau is suggested to be a potential candidate to ameliorate CP-induced cardiorenal toxicity that may be related to its antioxidant activity.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".