Literature DB >> 33675323

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

Evangelia Liakoni1,2, Rachel F Tyndale3,4,5, Peyton Jacob1,6, Delia A Dempsey1,6, Newton Addo1, Neal L Benowitz1,6.   

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.

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Year:  2021        PMID: 33675323      PMCID: PMC8184575          DOI: 10.1097/FPC.0000000000000427

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.000


  37 in total

1.  Nicotine metabolite ratio as an index of cytochrome P450 2A6 metabolic activity.

Authors:  Delia Dempsey; Piotr Tutka; Peyton Jacob; Faith Allen; Kerri Schoedel; Rachel F Tyndale; Neal L Benowitz
Journal:  Clin Pharmacol Ther       Date:  2004-07       Impact factor: 6.875

2.  Low Cotinine Glucuronidation Results in Higher Serum and Saliva Cotinine in African American Compared to White Smokers.

Authors:  Sharon E Murphy; Christopher J Sipe; Kwangsoo Choi; Leah M Raddatz; Joseph S Koopmeiners; Eric C Donny; Dorothy K Hatsukami
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-03-06       Impact factor: 4.254

3.  Variation in P450 oxidoreductase (POR) A503V and flavin-containing monooxygenase (FMO)-3 E158K is associated with minor alterations in nicotine metabolism, but does not alter cigarette consumption.

Authors:  Meghan J Chenoweth; Andy Z X Zhu; Lisa Sanderson Cox; Jasjit S Ahluwalia; Neal L Benowitz; Rachel F Tyndale
Journal:  Pharmacogenet Genomics       Date:  2014-03       Impact factor: 2.089

4.  Female sex and oral contraceptive use accelerate nicotine metabolism.

Authors:  Neal L Benowitz; Christina N Lessov-Schlaggar; Gary E Swan; Peyton Jacob
Journal:  Clin Pharmacol Ther       Date:  2006-05       Impact factor: 6.875

5.  Association of nicotine metabolite ratio and CYP2A6 genotype with smoking cessation treatment in African-American light smokers.

Authors:  M K Ho; J C Mwenifumbo; N Al Koudsi; K S Okuyemi; J S Ahluwalia; N L Benowitz; R F Tyndale
Journal:  Clin Pharmacol Ther       Date:  2009-03-11       Impact factor: 6.875

6.  Rate of nicotine metabolism and withdrawal symptoms in adolescent light smokers.

Authors:  Mark L Rubinstein; Neal L Benowitz; Glenna M Auerback; Anna-Barbara Moscicki
Journal:  Pediatrics       Date:  2008-09       Impact factor: 7.124

7.  Racial differences in the relationship between rate of nicotine metabolism and nicotine intake from cigarette smoking.

Authors:  Kathryn C Ross; Noah R Gubner; Rachel F Tyndale; Larry W Hawk; Caryn Lerman; Tony P George; Paul Cinciripini; Robert A Schnoll; Neal L Benowitz
Journal:  Pharmacol Biochem Behav       Date:  2016-05-11       Impact factor: 3.533

8.  Nicotine and cotinine elimination pharmacokinetics in smokers and nonsmokers.

Authors:  N L Benowitz; P Jacob
Journal:  Clin Pharmacol Ther       Date:  1993-03       Impact factor: 6.875

9.  Stability of the nicotine metabolite ratio in ad libitum and reducing smokers.

Authors:  Marc E Mooney; Zhong-Ze Li; Sharon E Murphy; Paul R Pentel; Chap Le; Dorothy K Hatsukami
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-06       Impact factor: 4.254

Review 10.  Variation in CYP2A6 Activity and Personalized Medicine.

Authors:  Julie-Anne Tanner; Rachel F Tyndale
Journal:  J Pers Med       Date:  2017-12-01
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2.  Impact of e-cigarette aerosol on primary human alveolar epithelial type 2 cells.

Authors:  Katherine D Wick; Xiaohui Fang; Mazharul Maishan; Shotaro Matsumoto; Natasha Spottiswoode; Aartik Sarma; Camille Simoneau; Manisha Khakoo; Chaz Langelier; Carolyn S Calfee; Jeffrey E Gotts; Michael A Matthay
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2022-06-07       Impact factor: 6.011

3.  Nicotine Exposure in the U.S. Population: Total Urinary Nicotine Biomarkers in NHANES 2015-2016.

Authors:  Shrila Mazumder; Winnie Shia; Patrick B Bendik; Honest Achilihu; Connie S Sosnoff; Joseph R Alexander; Zuzheng Luo; Wanzhe Zhu; Brittany N Pine; June Feng; Benjamin C Blount; Lanqing Wang
Journal:  Int J Environ Res Public Health       Date:  2022-03-19       Impact factor: 3.390

  3 in total

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