Potentiation of the hepatic toxicity of carbon disulfide by chlordane
Bibliographic record
Abstract
OBJECTIVES: In this study, we investigated whether cytochrome P450s (CYPs) induced by a typical chlorinated hydrocarbon insecticide chlordane (CLD) potentiate hepatic toxicity of carbon disulfide (CS2). MATERIALS AND METHODS: Male Sprague-Dawley rats were treated with CLD (25 mg/kg, intraperitoneally (i.p.)) daily for 4 days, and 24 h after the final injection the rats were treated with CS2 (380 mg/kg, i.p.) in corn oil; while controls received the vehicle alone. The rats were then sacrificed at 3, 6, and 24 h following the CS2 treatment. RESULTS: It was found that at 3 h post-treatment, total hepatic glutathione (GSH) decreased modestly, but lipid peroxidation increased markedly, while all CLD-inducible CYPs (1A1, 2B1, 2E1, and 3A2) were inhibited by CS2 variably but significantly. On the other hand, samples taken at 24 h following the CS2 treatment showed a significant increase in relative liver weights, hepatic GSH and lipid peroxidation, microsomal reactive oxygen species (ROS), and serum alanine transaminase (ALT) level. Activity of the CYPs was also increased, but remained significantly depressed, especially that of CYP2B1. Livers removed at 3 and 6 h after CS2 treatment showed subtle to distinct apoptotic changes, while a severe lesion of hydropic degeneration of the centrilobular cells with apoptosis was microscopically distinguishable in samples taken at 24 h. CONCLUSIONS: These results suggest that the metabolism of CS2 by CLD-induced CYPs and the generation of lipid peroxides may have in concert contributed to the distinct hepatocellular damage.
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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) | 0.000 | 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 | 0.000 |
| 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".