Literature DB >> 17035386

CYP2A6 genotype, phenotype, and the use of nicotine metabolites as biomarkers during ad libitum smoking.

Viba Malaiyandi1, Shari D Goodz, Edward M Sellers, Rachel F Tyndale.   

Abstract

CYP2A6 inactivates nicotine to cotinine and cotinine to 3-hydroxycotinine. We investigated which of plasma nicotine and metabolites were most related to CYP2A6 genotype and smoking levels. We assessed demographic and smoking histories in 152 Caucasian ad libitum smokers, measured breath carbon monoxide (CO) levels, and determined plasma nicotine, cotinine, and 3-hydroxycotinine by high-performance liquid chromatography and CYP2A6 genotypes by PCR. Cigarettes per day was most closely related to CO (r = 0.60, P < 0.001) followed by plasma cotinine (r = 0.53, P < 0.001), whereas plasma cotinine was most strongly correlated with CO levels (r = 0.74, P < 0.001), confirming that cotinine is a good indicator of smoking levels; this was not limited by CYP2A6 variants. 3-Hydroxycotinine/cotinine is reported to be a good marker of CYP2A6 activity, and we found that the 3-hydroxycotinine/(cotinine + nicotine) ratio was most correlated with CYP2A6 genotype (r = 0.38, P < 0.001). Inclusion of the CYP2A6*12A allele strengthened the correlation (r = 0.46, P < 0.001), suggesting that the identification of novel alleles will continue to improve this relationship. Nicotine metabolism is slower in smokers, and we have shown that CYP2A6 is reduced by nicotine treatment in monkeys. Here, we found that plasma nicotine levels were inversely correlated with CYP2A6 activity (3-hydroxycotinine/cotinine, r = -0.41, P < 0.001) among those without CYP2A6 variants, suggesting a reduction in metabolism with higher nicotine levels. Together, these findings (a) confirm the use of plasma cotinine and CO as indicators of Caucasians' smoking levels, and that this is not limited by CYP2A6 genetic variation; (b) indicate that 3-hydroxycotinine/cotinine and 3-hydroxycotinine/(cotinine + nicotine) are moderately good indicators of the CYP2A6 genotype; and (c) support that nicotine exposure may reduce its own metabolism.

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Year:  2006        PMID: 17035386     DOI: 10.1158/1055-9965.EPI-05-0723

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  34 in total

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Journal:  Pharmacogenet Genomics       Date:  2008-01       Impact factor: 2.089

3.  Nicotine metabolism and addiction among adolescent smokers.

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4.  Nicotine Metabolism in Young Adult Daily Menthol and Nonmenthol Smokers.

Authors:  Pebbles Fagan; Pallav Pokhrel; Thaddeus A Herzog; Ian S Pagano; Adrian A Franke; Mark S Clanton; Linda A Alexander; Dennis R Trinidad; Kari-Lyn K Sakuma; Carl A Johnson; Eric T Moolchan
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5.  Associations of CYP2A6 genotype with smoking behaviors in southern China.

Authors:  Tao Liu; Sean P David; Rachel F Tyndale; Hui Wang; Qian Zhou; Peng Ding; Yan-Hui He; Xue-Qing Yu; Wei Chen; Casey Crump; Xiao-Zhong Wen; Wei-Qing Chen
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6.  Variants in two adjacent genes, EGLN2 and CYP2A6, influence smoking behavior related to disease risk via different mechanisms.

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Review 7.  Reconciling human smoking behavior and machine smoking patterns: implications for understanding smoking behavior and the impact on laboratory studies.

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8.  Utility and relationships of biomarkers of smoking in African-American light smokers.

Authors:  Man Ki Ho; Babalola Faseru; Won S Choi; Nicole L Nollen; Matthew S Mayo; Janet L Thomas; Kolawole S Okuyemi; Jasjit S Ahluwalia; Neal L Benowitz; Rachel F Tyndale
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-12       Impact factor: 4.254

9.  Association of nicotine metabolite ratio and CYP2A6 genotype with smoking cessation treatment in African-American light smokers.

Authors:  M K Ho; J C Mwenifumbo; N Al Koudsi; K S Okuyemi; J S Ahluwalia; N L Benowitz; R F Tyndale
Journal:  Clin Pharmacol Ther       Date:  2009-03-11       Impact factor: 6.875

10.  The contribution of common UGT2B10 and CYP2A6 alleles to variation in nicotine glucuronidation among European Americans.

Authors:  A Joseph Bloom; Linda B von Weymarn; Maribel Martinez; Laura J Bierut; Alison Goate; Sharon E Murphy
Journal:  Pharmacogenet Genomics       Date:  2013-12       Impact factor: 2.089

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