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Biochemistry of nicotine metabolism and its relevance to lung cancer

Journal

JOURNAL OF BIOLOGICAL CHEMISTRY
Volume 296, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jbc.2021.100722

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Funding

  1. National Cancer Institute, National Institutes of Health [P01 CA-138338]

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Nicotine is the main addictive component of tobacco, and its metabolism plays a crucial role in smoking behavior and dose. Understanding nicotine biotransformation, particularly the role of enzymes like cytochrome P450 2A6, can help identify individuals at higher risk for tobacco-related diseases such as lung cancer.
Nicotine is the key addictive constituent of tobacco. It is not a carcinogen, but it drives smoking and the continued exposure to the many carcinogens present in tobacco. The investigation into nicotine biotransformation has been ongoing for more than 60 years. The dominant pathway of nicotine metabolism in humans is the formation of cotinine, which occurs in two steps. The first step is cytochrome P450 (P450, CYP) 2A6-catalyzed 5'-oxidation to an iminium ion, and the second step is oxidation of the iminium ion to cotinine. The half-life of nicotine is longer in individuals with low P450 2A6 activity, and smokers with low activity often decrease either the intensity of their smoking or the number of cigarettes they use compared with those with normal activity. The effect of P450 2A6 activity on smoking may influence one's tobacco-related disease risk. This review provides an overview of nicotine metabolism and a summary of the use of nicotine metabolite biomarkers to define smoking dose. Some more recent findings, for example, the identification of uridine 5'-diphospho-glucuronosyltransferase 2B10 as the catalyst of nicotine N-glucuronidation, are discussed. We also describe epidemiology studies that establish the contribution of nicotine metabolism and CYP2A6 genotype to lung cancer risk, particularly with respect to specific racial/ethnic groups, such as those with Japanese, African, or European ancestry. We conclude that a model of nicotine metabolism and smoking dose could be combined with other lung cancer risk variables to more accurately identify former smokers at the highest risk of lung cancer and to intervene accordingly.

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