Literature DB >> 32051195

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 Carroll1,2, Sharon E Murphy3, Neal L Benowitz4, Andrew A Strasser5, Michael Kotlyar3,6, Stephen S Hecht3, Steve G Carmella3, Francis J McClernon7, Lauren R Pacek7, Sarah S Dermody8, Ryan G Vandrey9, Eric C Donny10, Dorothy K Hatsukami3.   

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 cross-sectional 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. NMR was 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. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 32051195      PMCID: PMC7437528          DOI: 10.1158/1055-9965.EPI-19-0644

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


  55 in total

1.  Development of the Brief Wisconsin Inventory of Smoking Dependence Motives.

Authors:  Stevens S Smith; Megan E Piper; Daniel M Bolt; Michael C Fiore; David W Wetter; Paul M Cinciripini; Timothy B Baker
Journal:  Nicotine Tob Res       Date:  2010-03-15       Impact factor: 4.244

Review 2.  Precision Medicine for Tobacco Dependence: Development and Validation of the Nicotine Metabolite Ratio.

Authors:  Cheyenne E Allenby; Kelly A Boylan; Caryn Lerman; Mary Falcone
Journal:  J Neuroimmune Pharmacol       Date:  2016-02-12       Impact factor: 4.147

Review 3.  CYP2A6 genetic variation and potential consequences.

Authors:  Chun Xu; Shari Goodz; Edward M Sellers; Rachel F Tyndale
Journal:  Adv Drug Deliv Rev       Date:  2002-11-18       Impact factor: 15.470

4.  Effect of cigarette smoking on urinary 2-hydroxypropylmercapturic acid, a metabolite of propylene oxide.

Authors:  Adam T Zarth; Steven G Carmella; Chap T Le; Stephen S Hecht
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2014-02-14       Impact factor: 3.205

Review 5.  Biomarkers of Potential Harm: Summary of an FDA-Sponsored Public Workshop.

Authors:  Cindy M Chang; Yu-Ching Cheng; Taehyeon M Cho; Elena V Mishina; Arseima Y Del Valle-Pinero; Dana M van Bemmel; Dorothy K Hatsukami
Journal:  Nicotine Tob Res       Date:  2019-01-01       Impact factor: 4.244

6.  Nicotine metabolite ratio predicts smoking topography and carcinogen biomarker level.

Authors:  Andrew A Strasser; Neal L Benowitz; Angela G Pinto; Kathy Z Tang; Stephen S Hecht; Steve G Carmella; Rachel F Tyndale; Caryn E Lerman
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-01-06       Impact factor: 4.254

7.  Effects of smoking cessation on eight urinary tobacco carcinogen and toxicant biomarkers.

Authors:  Steven G Carmella; Menglan Chen; Shaomei Han; Anna Briggs; Joni Jensen; Dorothy K Hatsukami; Stephen S Hecht
Journal:  Chem Res Toxicol       Date:  2009-04       Impact factor: 3.739

8.  Genetic determinants of CYP2A6 activity across racial/ethnic groups with different risks of lung cancer and effect on their smoking intensity.

Authors:  Sungshim L Park; Maarit I Tiirikainen; Yesha M Patel; Lynne R Wilkens; Daniel O Stram; Loic Le Marchand; Sharon E Murphy
Journal:  Carcinogenesis       Date:  2016-01-27       Impact factor: 4.944

9.  Urinary PGE-M: a promising cancer biomarker.

Authors:  Dingzhi Wang; Raymond N DuBois
Journal:  Cancer Prev Res (Phila)       Date:  2013-05-01

10.  High dose transdermal nicotine for fast metabolizers of nicotine: a proof of concept placebo-controlled trial.

Authors:  Robert A Schnoll; E Paul Wileyto; Frank T Leone; Rachel F Tyndale; Neal L Benowitz
Journal:  Nicotine Tob Res       Date:  2012-05-15       Impact factor: 4.244

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  6 in total

1.  Comparison of Carcinogen Biomarkers in Smokers of Menthol and Nonmenthol Cigarettes: The 2015-2016 National Health and Nutrition Examination Survey Special Sample.

Authors:  Wenxue Lin; Junjia Zhu; John E Hayes; John P Richie; Joshua E Muscat
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2022-08-02       Impact factor: 4.090

2.  Impact of nicotine reduction in cigarettes on smoking behavior and exposure: Are there differences by race/ethnicity, educational attainment, or gender?

Authors:  Dana M Carroll; Bruce R Lindgren; Sarah S Dermody; Rachel Denlinger-Apte; Andrew Egbert; Rachel N Cassidy; Tracy T Smith; Lauren R Pacek; Alicia M Allen; Jennifer W Tidey; Michael J Parks; Joseph S Koopmeiners; Eric C Donny; Dorothy K Hatsukami
Journal:  Drug Alcohol Depend       Date:  2021-05-21       Impact factor: 4.852

3.  Correlates of the nicotine metabolite ratio in Alaska Native people who smoke cigarettes.

Authors:  Erin A Vogel; Neal L Benowitz; Jordan Skan; Matthew Schnellbaecher; Judith J Prochaska
Journal:  Exp Clin Psychopharmacol       Date:  2021-04-15       Impact factor: 3.492

Review 4.  1,3-Butadiene: a ubiquitous environmental mutagen and its associations with diseases.

Authors:  Wan-Qi Chen; Xin-Yu Zhang
Journal:  Genes Environ       Date:  2022-01-10

5.  Analyses of nicotine metabolism biomarker genetics stratified by sex in African and European Americans.

Authors:  Meghan J Chenoweth; Lisa Sanderson Cox; Nikki L Nollen; Jasjit S Ahluwalia; Neal L Benowitz; Caryn Lerman; Jo Knight; Rachel F Tyndale
Journal:  Sci Rep       Date:  2021-10-01       Impact factor: 4.379

6.  Effect of race and glucuronidation rates on the relationship between nicotine metabolite ratio and nicotine clearance.

Authors:  Evangelia Liakoni; Rachel F Tyndale; Peyton Jacob; Delia A Dempsey; Newton Addo; Neal L Benowitz
Journal:  Pharmacogenet Genomics       Date:  2021-07-01       Impact factor: 2.000

  6 in total

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