Relationships between the nicotine metabolite ratio and a panel of exposure and effect biomarkers: Findings from two studies of U.S. commercial cigarette smokers

Dana M. Carroll, Sharon E. Murphy, Neal L. Benowitz, Andrew A. Strasser, Michael Kotlyar, Stephen S. Hecht, Steve G. Carmella, Francis J. McClernon, Lauren R. Pacek, Sarah S. Dermody, Ryan G. Vandrey, Eric C. Donny, Dorothy K. Hatsukami

Research output: Contribution to journalArticle

Abstract

Background: We examined the nicotine metabolite ratio's (NMR) relationship with smoking intensity, nicotine dependence, and a broad array of biomarkers of exposure and biological effect in commercial cigarette smokers. Methods: Secondary analysis was conducted on two crosssectional samples of adult, daily smokers from Wave 1 (2013- 2014) of the Population Assessment of Tobacco Use and Health (PATH) Study and baseline data from a 2014-2017 randomized clinical trial. Data were restricted to participants of non-Hispanic, white race. The lowest quartile of NMR (<0.26) in the nationally representative PATH Study was used to distinguish slow from normal/fast nicotine metabolizers.NMRwas modeled continuously in secondary analysis. Results: Compared with slow metabolizers, normal/fast metabolizers had greater cigarettes per day and higher levels of total nicotine equivalents, tobacco-specific nitrosamines, volatile organic componds, and polycyclic aromatic hydrocarbons. A novel finding was higher levels of inflammatory biomarkers among normal/fast metabolizers versus slow metabolizers. With NMR modeled as a continuous measure, the associations between NMR and biomarkers of inflammation were not significant. Conclusions: The results are suggestive that normal/fast nicotine metabolizers may be at increased risk for tobacco-related disease due to being heavier smokers, having higher exposure to numerous toxicants and carcinogens, and having higher levels of inflammation when compared with slow metabolizers. Impact: This is the first documentation that NMR is not only associated with smoking exposure but also biomarkers of biological effects that are integral in the development of tobacco-related disease. Results provide support for NMR as a biomarker for understanding a smoker's exposure and potential risk for tobacco- related disease.

Original languageEnglish (US)
Pages (from-to)871-879
Number of pages9
JournalCancer Epidemiology Biomarkers and Prevention
Volume29
Issue number4
DOIs
StatePublished - Jan 1 2020

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