Hepatic CYP2B6 is altered by genetic, physiologic, and environmental factors but plays little role in nicotine metabolism
Bibliographic record
Abstract
Human cytochrome P4502B6 (CYP2B6) is predominantly expressed in the liver and it plays a major role in the metabolism of several therapeutically important drugs and environmental toxicants. The objective was twofold: (1) to determine the role of genetic, physiological, and environmental factors in predicting hepatic CYP2B6 protein expression; and (2) to investigate the role of CYP2B6 in nicotine C-oxidation. Human livers (n = 40) were assessed for CYP2B6 protein and genotype. Linear regression analyses indicated that CYP2B6 genotype (10%), gender (14%), and exposure to inducers (21%), but not age, were predictors of CYP2B6 protein amounts. Livers with at least one CYP2B6*5 or *6 allele were associated with lower CYP2B6. Female livers and livers exposed to inducers (phenobarbital and/or dexamethasone) were associated with higher CYP2B6. A weak correlation between CYP2B6 and nicotine C-oxidation activity was observed, which was abrogated when controlling for CYP2A6 protein levels. CYP2B6*6 was not associated with different nicotine kinetics. In summary, CYP2B6 protein expression was associated with genotype, gender, and exposure to inducers, but not with nicotine C-oxidation 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 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".