Pharmacogenet Genomics. 2021 Jul 01;31(5):97-107. doi: 10.1097/FPC.0000000000000427.
Effect of race and glucuronidation rates on the relationship between nicotine metabolite ratio and nicotine clearance.
Pharmacogenetics and genomics
Evangelia Liakoni, Rachel F Tyndale, Peyton Jacob, Delia A Dempsey, Newton Addo, Neal L Benowitz
Affiliations
Affiliations
- Department of Medicine, Program in Clinical Pharmacology, Division of Cardiology, University of California, San Francisco, California, USA.
- Clinical Pharmacology and Toxicology, Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland.
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto.
- Department of Pharmacology & Toxicology.
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
- Center for Tobacco Control Research and Education, University of California, San Francisco, California, USA.
PMID: 33675323
PMCID: PMC8184575 DOI: 10.1097/FPC.0000000000000427
Abstract
OBJECTIVES: To investigate if the nicotine metabolite ratio (NMR, the ratio of nicotine metabolites 3'-hydroxycotinine/cotinine) is a reliable phenotypic biomarker for nicotine clearance across races, and as a function of differences in the rate of nicotine, cotinine and 3'-hydroxycotinine glucuronidation and UGT genotypes.
METHODS: Participants [Caucasians (Whites), African Americans (Blacks) and Asian-Americans (Asians)] received an oral solution of deuterium-labeled nicotine and its metabolite cotinine. Plasma and saliva concentrations of nicotine and cotinine were used to determine oral clearances. Rates of glucuronidation were assessed from urine glucuronide/parent ratios, and UGT2B10 and UGT2B17 genotypes from DNA.
RESULTS: Among the 227 participants, 96 (42%) were White, 67 (30%) Asian and 64 (28%) Black. Compared to the other two races, Whites had higher nicotine and cotinine total oral clearance, Blacks had lower nicotine and cotinine glucuronidation rates and Asians had lower 3'-hydroxycotinine glucuronidation rates. A strong positive correlation (correlations coefficients 0.77-0.84; P < 0.001) between NMR and nicotine oral clearance was found for all three races, and NMR remained a strong predictor for the nicotine oral clearance while adjusting for race, sex and age. Neither the metabolite glucuronidation ratios nor the UGT genotypes had significant effects on the ability of NMR to predict nicotine oral clearance.
CONCLUSION: NMR appears to be a reliable phenotypic biomarker for nicotine clearance across races, glucuronidation phenotypes and genotypes. Racial differences in the relationships between NMR, smoking behaviors and addiction are unlikely to be related to an inadequate estimation of nicotine clearance on the basis of NMR.
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.
References
- Pediatrics. 2008 Sep;122(3):e643-7 - PubMed
- Clin Pharmacol Ther. 2006 May;79(5):480-8 - PubMed
- Pharmacol Biochem Behav. 2016 Sep;148:1-7 - PubMed
- Clin Pharmacol Ther. 2004 Jul;76(1):64-72 - PubMed
- J Pers Med. 2017 Dec 01;7(4): - PubMed
- Cancer Epidemiol Biomarkers Prev. 2008 Jun;17(6):1396-400 - PubMed
- Cancer Epidemiol Biomarkers Prev. 2017 Jul;26(7):1093-1099 - PubMed
- Pharmacogenet Genomics. 2014 Mar;24(3):172-6 - PubMed
- Clin Pharmacol Ther. 2009 Jun;85(6):635-43 - PubMed
- Clin Pharmacol Ther. 1993 Mar;53(3):316-23 - PubMed
- Handb Exp Pharmacol. 2009;(192):29-60 - PubMed
- Am J Hum Genet. 2008 Sep;83(3):337-46 - PubMed
- Clin Pharmacol Ther. 1994 Nov;56(5):483-93 - PubMed
- J Pharmacol Exp Ther. 2010 Jan;332(1):202-9 - PubMed
- J Anal Toxicol. 2006 Jul-Aug;30(6):386-9 - PubMed
- Pharmacogenet Genomics. 2016 Jul;26(7):340-50 - PubMed
- Pharmacol Biochem Behav. 2009 Mar;92(1):6-11 - PubMed
- Cancer Res. 2010 Oct 1;70(19):7543-52 - PubMed
- Annu Rev Pharmacol Toxicol. 2009;49:57-71 - PubMed
- Mol Pharmacol. 2007 Sep;72(3):761-8 - PubMed
- J Pharm Biomed Anal. 2000 Sep;23(4):653-61 - PubMed
- Mol Psychiatry. 2020 Mar 10;: - PubMed
- Addict Biol. 2020 Jan;25(1):e12741 - PubMed
- Drug Metab Dispos. 2007 Oct;35(10):1935-41 - PubMed
- Carcinogenesis. 2014 Nov;35(11):2526-33 - PubMed
- Pharmacogenet Genomics. 2017 Apr;27(4):143-154 - PubMed
- Cancer Epidemiol Biomarkers Prev. 2015 Jan;24(1):94-104 - PubMed
- Cancer Epidemiol Biomarkers Prev. 2020 Apr;29(4):871-879 - PubMed
- J Pharmacol Exp Ther. 1999 Dec;291(3):1196-203 - PubMed
- Cancer Epidemiol Biomarkers Prev. 2012 Jul;21(7):1105-14 - PubMed
- Lancet Respir Med. 2015 Feb;3(2):131-138 - PubMed
- Clin Pharmacol Ther. 2008 Sep;84(3):320-5 - PubMed
- J Chromatogr B Analyt Technol Biomed Life Sci. 2011 Feb 1;879(3-4):267-76 - PubMed
- Clin Pharmacol Ther. 2006 Jun;79(6):600-8 - PubMed
- PLoS One. 2013 Aug 02;8(8):e70938 - PubMed
- Pharmacol Rev. 2005 Mar;57(1):79-115 - PubMed
- Drug Alcohol Depend. 2000 Jul 1;60(1):13-8 - PubMed
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