Utility and relationships of biomarkers of smoking in African-American light smokers.
Utility and relationships of biomarkers of smoking in African-American light smokers.
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DOI:
10.1158/1055-9965.epi-09-0956
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发表时间:
2009-12
期刊:
影响因子:
--
通讯作者:
Tyndale RF
中科院分区:
文献类型:
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作者:
Ho MK;Faseru B;Choi WS;Nollen NL;Mayo MS;Thomas JL;Okuyemi KS;Ahluwalia JS;Benowitz NL;Tyndale RF
While expired carbon monoxide (CO) and plasma cotinine (COT) have been validated as biomarkers of self-reported cigarettes per day (CPD) in heavy smoking Caucasians, their utility in light smokers is unknown. Further, variability in CYP2A6, the enzyme that mediates formation of COT from nicotine (NIC) and its metabolism to trans-3′-hydroxycotinine (3HC), may limit the usefulness of COT. We assessed whether CO and COT are correlated with CPD in African-American light smokers (≤10CPD, n=700), a population with known reduced CYP2A6 activity and slow COT metabolism. We also examined whether gender, age, BMI, smoking mentholated cigarettes or rate of CYP2A6 activity, by genotype and phenotype measures (3HC/COT), influence these relationships. At baseline, many participants (42%) exhaled CO ≤10ppm, the traditional cutoff for smoking, while few (3.1%) had COT below the cutoff of ≤14ng/ml; thus COT appears to be a better biomarker of smoking status in this population. CPD was weakly correlated with CO and COT (r = 0.32–0.39, p<0.001), and those reporting fewer CPD had higher CO/cigarette and COT/cigarette, although the correlations coefficients between these variables were also weak (r = −0.33 and −0.08, p < 0.05). The correlation between CPD and CO was not greatly increased when analyzed by CYP2A6 activity, smoking mentholated cigarettes or age, although it appeared stronger in females (r = 0.38 vs.0.21, p<0.05) and obese individuals (r = 0.38 vs.0.24, p<0.05). Together, these results suggest that CO and COT are weakly associated with self-reported cigarette consumption in African-American light smokers, and that these relationships are not substantially improved when variables previously reported to influence these biomarkers are considered.