Flunitrazepam metabolism by cytochrome P450S 2C19 and 3A4.
Bibliographic record
Abstract
We have identified CYP2C19 and CYP3A4 as the principal cytochrome P450s involved in the metabolism of flunitrazepam to its major metabolites desmethylflunitrazepam and 3-hydroxyflunitrazepam. Human CYP2C19 and CYP3A4 mediated the formation of desmethylflunitrazepam with Km values of 11.1 and 108 microM, respectively, and 3-hydroxyflunitrazepam with Km values of 642 and 34.0 microM, respectively. In human liver microsomes (n = 4) formation of both metabolites followed biphasic kinetics. Desmethylflunitrazepam formation was inhibited 31% by S-mephenytoin and 78% by ketoconazole, suggesting involvement of both CYP2C19 and CYP3A4. Formation of 3-hydroxyflunitrazepam was also significantly inhibited by ketoconazole (94%) and S-mephenytoin (18%). In support of these chemical inhibition data, antibodies directed against CYP2C19 and CYP3A4 selectively inhibited formation of desmethylflunitrazepam by 26 and 45%, respectively, while anti-CYP3A4 antibodies reduced 3-hydroxyflunitrazepam formation by 80%. Our data also suggest that CYP1A2, -2B6, -2C8, -2C9, -2D6, and -2E1 are not involved in either of these metabolic pathways. We estimate that the relative contributions of CYP2C19 and CYP3A4 to the formation of desmethylflunitrazepam in vivo are 63 and 37%, respectively, at therapeutic flunitrazepam concentrations (0.03 microM). We conclude that the polymorphic enzyme CYP2C19 importantly mediates flunitrazepam demethylation, which may alter the efficacy and safety of the drug, while CYP3A4 catalyzes the formation of 3-hydroxyflunitrazepam.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 teacher head, 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".