Inhibition of vinyl carbamate-induced mutagenicity and clastogenicity by the garlic constituent diallyl sulfone in F1 (Big Blue® × A/J) transgenic mice
Bibliographic record
Abstract
Vinyl carbamate (VC) is a metabolite of ethyl carbamate (EC), a naturally occurring compound found in fermented foods and alcoholic beverages. CYP2E1 mediates the sequential oxidation of EC to VC and subsequently to the vinyl carbamate epoxide, which is believed to be the ultimate carcinogenic species. Here, we have tested the hypothesis that bioactivation of VC by CYP2E1 plays a central role in the development of its mutagenicity and clastogenicity, and further that inhibition of CYP2E1 by diallyl sulfone (DASO(2)) leads to diminution in their incidences. DASO(2) is a garlic constituent that is oxidized by CYP2E1, leading to inactivation of this P450. F(1) (Big Blue x A/J) transgenic mice harboring the lambda cII gene were used for in vivo identification and quantitation of mutations in the lung and small intestine. Mice were pre-treated with DASO(2) (12.5-200 mg/kg, p.o.), treated 2 h later with VC (60 mg/kg, i.p.) and were killed 4 weeks later. Our results showed that pre-treatment of mice with DASO(2) at doses of 50-200 mg/kg significantly decreased the VC-induced mutant frequencies (MFs) by 50-70%. In the small intestine, pre-treatment with 200 mg/kg of DASO(2) decreased the MF by approximately 40%. Clastogenicity, as assessed by the frequency of micronucleated reticulocytes, was significantly decreased (33-44%) by pre-treatment with DASO(2) (50-200 mg/kg). These results demonstrated that bioactivation of VC by CYP2E1 plays a valid role in the development of mutagenicity and clastogenicity, and further that inhibition of this pathway by DASO(2) produces a protective effect.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".