CYP2A6 genotype and the metabolism and disposition kinetics of nicotine
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: The liver enzyme cytochrome P450 (CYP) 2A6 is primarily responsible for the metabolism of nicotine. Variants in the CYP2A6 gene have been associated with altered nicotine metabolism and with effects on smoking behavior. Our objective was to determine the relationship between variant CYP2A6 genotypes and the disposition and metabolism of nicotine administered intravenously. METHODS: Intravenous infusions of deuterium-labeled nicotine and cotinine were administered to 278 healthy twin volunteers, most of whom were white. They were genotyped for CYP2A6*1, CYP2A6*2, CYP2A6*4, CYP2A6*7, CYP2A6*8, CYP2A6*9, CYP2A6*10, and CYP2A6*12. RESULTS: On the basis of the fractional clearance of nicotine to cotinine and on the plasma ratio of 3'-hydroxycotinine to cotinine, both shown to be indicators of CYP2A6 enzymatic activity, subjects were classified into 3 groups. Group 1 included wild-type variant CYP2A6*1/*1 (n=215) and was assumed to have 100% activity. Group 2 included *1/*9 (n=21) and *1/*12 (n=12), which averaged about 80% of normal activity. Group 3 included *1/*2 (n=10), *1/*4 (n=2), *9/*12 (n=3), *9/*4 (n=2), and *9/*9 (n=3), which averaged about 50% of normal activity. The mean total plasma clearance of nicotine (+/-SD) was 18.8+/-6.0, 15.5+/-4.9, and 11.7+/-5.1 mL.min-1.kg-1 in groups 1, 2, and 3, respectively, and group 1 had significantly faster clearance than group 2 (P<.05) and group 3 (P<.01). Overall, groups 2 and 3 also had lower total clearance of cotinine, had longer half-lives for nicotine and cotinine, and excreted in the urine a greater fraction of the nicotine dose as unchanged nicotine and nicotine glucuronide and excreted less as 3'-hydroxycotinine compared with group 1. CONCLUSIONS: We provide novel pharmacokinetic and metabolic data on nicotine after systemic dosing in relation to common CYP2A6 genotypes. Our data will enhance the interpretation of CYP2A6 genotypic data as used in association studies of smoking behavior and its health consequences.
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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 | 0.000 |
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".