A novel CYP2A6 allele, CYP2A6*23, impairs enzyme function in vitro and in vivo and decreases smoking in a population of Black-African descent
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: CYP2A6 is the main enzyme involved in nicotine metabolism in humans. We have identified a novel allele, CYP2A6*23 (2161C>T, R203C), in individuals of Black-African descent and investigated its impact on enzyme activity and association with smoking status. METHODS: Wild-type and variant enzymes containing amino acid changes R203C (CYP2A6*23), R203S (CYP2A6*16) and V365M (CYP2A6*17) were expressed in Escherichia coli. The effect of CYP2A6*23 in vivo was examined in individuals of Black-African descent given 4 mg oral nicotine. RESULTS: CYP2A6*23 occurred at an allele frequency of 2.0% in individuals of Black-African descent (N=560 alleles, 95% confidence interval, 0.8-3.1%) and was not detected in Caucasians (N=334 alleles), Chinese (N=288 alleles) or Japanese (N=104 alleles). In vitro, CYP2A6.23 had greatly reduced activity toward nicotine C-oxidation similar to CYP2A6.17, as well as reduced coumarin 7-hydroxylation. Conversely, CYP2A6.16 did not differ in activity compared with the wild-type enzyme. The trans-3'-hydroxycotinine to cotinine ratio, a phenotypic measure of CYP2A6 activity in vivo, was lower in CYP2A6*1/*23 and CYP2A6*23/*23 individuals (mean adjusted ratio of 0.60, n=5) compared with CYP2A6*1/*1 individuals (mean adjusted ratio of 1.21, n=150) (P<0.04). CYP2A6*23 trended toward a higher allele frequency in nonsmokers (3.1%, N=9/286 alleles) compared with smokers (0.7%, N=2/274 alleles) (P=0.06). CONCLUSION: These results suggest the novel CYP2A6*23 allele impairs enzyme function in vitro and in vivo and trends toward an association with lower risk of smoking.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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 it