Cyclosporine-induced changes in drug metabolizing enzymes in hyperlipemic rabbit kidneys could explain its toxicity
Bibliographic record
Abstract
This study investigates the mechanism of cyclosporine A (CsA)-mediated nephrotoxicity by examining the hypothesis that CsA toxicity is mediated through its effect on the kidney drug metabolizing enzymes in a hyperlipemic rabbit model. Twenty-four female New Zealand white rabbits divided into four groups. Group 1 received regular diet. Group 2 received 1% cholesterol diet. Group 3 received CsA (25 mg/kg, orally once daily) and group 4 received 1% cholesterol diet and CsA (25 mg/kg, orally once daily). Cytochrome P450 2E1 (CYP2E1) activity in kidney microsomes was assessed by measuring p-nitrophenol hydroxylase activity. Generation of reactive oxygen species (ROS) was assessed by measuring malondialdehyde (MDA) and the protein carbonyl. Effect of CsA and hyperlipidemia on the antioxidant proteins were also assessed using standard techniques. CsA but not the high-cholesterol diet induced significant elevation in MDA, protein carbonyl and CYP2E1 activities in the kidney. The addition of cholesterol to CsA normalized ROS markers without affecting the CsA-enhanced CYP2E1 activity. Alone, CsA caused characteristic tubular injury, whereas the addition of high-cholesterol diet to CsA nearly abolished the tubular damage. CsA-enhanced rabbit kidney ROS and CYP2E1 activities. Hyperlipidemia attenuates CsA tubular injury, most probably due to normalization of renal ROS, but not CYP2E1 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) | 0.000 | 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".