Literature DB >> 29853481

Collaborative Method Performance Study of the Measurement of Nicotine, Its Metabolites, and Total Nicotine Equivalents in Human Urine.

Lanqing Wang1, John T Bernert2, Neal L Benowitz3, June Feng2, Peyton Jacob3, Ernest McGahee2, Samuel P Caudill2, Gerhard Scherer4, Max Scherer4, Nikola Pluym4, Mira V Doig5, Kirk Newland6, Sharon E Murphy7, Nicolas J Caron8, Lane C Sander9, Makiko Shimizu10, Hiroshi Yamazaki10, Sung Kim11, Loralie J Langman12, Jeanita S Pritchett6, Lorna T Sniegoski9, Yao Li2,13, Benjamin C Blount2, James L Pirkle2.   

Abstract

Background: Biomarkers of tobacco exposure have a central role in studies of tobacco use and nicotine intake. The most significant exposure markers are nicotine itself and its metabolites in urine. Therefore, it is important to evaluate the performance of laboratories conducting these biomarker measurements.
Methods: This report presents the results from a method performance study involving 11 laboratories from 6 countries that are currently active in this area. Each laboratory assayed blind replicates of seven human urine pools at various concentrations on three separate days. The samples included five pools blended from smoker and nonsmoker urine sources, and two additional blank urine samples fortified with pure nicotine, cotinine, and hydroxycotinine standards. All laboratories used their own methods, and all were based on some form of liquid chromatography/tandem mass spectrometry.
Results: Overall, good agreement was found among the laboratories in this study. Intralaboratory precision was good, and in the fortified pools, the mean bias observed was < + 3.5% for nicotine, approximately 1.2% for hydroxycotinine, and less than 1% for cotinine (1 outlier excluded in each case). Both indirect and direct methods for analyzing the glucuronides gave comparable results.Conclusions: This evaluation indicates that the experienced laboratories participating in this study can produce reliable and comparable human urinary nicotine metabolic profiles in samples from people with significant recent exposure to nicotine.Impact: This work supports the reliability and agreement of an international group of established laboratories measuring nicotine and its metabolites in urine in support of nicotine exposure studies. Cancer Epidemiol Biomarkers Prev; 27(9); 1083-90. ©2018 AACR. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 29853481      PMCID: PMC6125195          DOI: 10.1158/1055-9965.EPI-17-1127

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


  16 in total

1.  Estimation of nicotine dose after low-level exposure using plasma and urine nicotine metabolites.

Authors:  Neal L Benowitz; Katherine M Dains; Delia Dempsey; Lisa Yu; Peyton Jacob
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-05       Impact factor: 4.254

2.  CYP2A6 genotype and the metabolism and disposition kinetics of nicotine.

Authors:  Neal L Benowitz; Gary E Swan; Peyton Jacob; Christina N Lessov-Schlaggar; Rachel F Tyndale
Journal:  Clin Pharmacol Ther       Date:  2006-11       Impact factor: 6.875

Review 3.  Set-up and evaluation of interlaboratory studies.

Authors:  Yvan Vander Heyden; Johanna Smeyers-Verbeke
Journal:  J Chromatogr A       Date:  2007-02-22       Impact factor: 4.759

Review 4.  Individual differences in nicotine kinetics and metabolism in humans.

Authors:  N L Benowitz; P Jacob
Journal:  NIDA Res Monogr       Date:  1997

5.  Nicotine metabolic profile in man: comparison of cigarette smoking and transdermal nicotine.

Authors:  N L Benowitz; P Jacob; I Fong; S Gupta
Journal:  J Pharmacol Exp Ther       Date:  1994-01       Impact factor: 4.030

Review 6.  Nicotine chemistry, metabolism, kinetics and biomarkers.

Authors:  Neal L Benowitz; Janne Hukkanen; Peyton Jacob
Journal:  Handb Exp Pharmacol       Date:  2009

7.  Interlaboratory comparability of serum cotinine measurements at smoker and nonsmoker concentration levels: a round-robin study.

Authors:  John T Bernert; Peyton Jacob; David B Holiday; Neal L Benowitz; Connie S Sosnoff; Mira V Doig; Colin Feyerabend; Kenneth M Aldous; Mehran Sharifi; Mark D Kellogg; Loralie J Langman
Journal:  Nicotine Tob Res       Date:  2009-11-23       Impact factor: 4.244

8.  A high-throughput robotic sample preparation system and HPLC-MS/MS for measuring urinary anatabine, anabasine, nicotine and major nicotine metabolites.

Authors:  Binnian Wei; June Feng; Imran J Rehmani; Sharyn Miller; James E McGuffey; Benjamin C Blount; Lanqing Wang
Journal:  Clin Chim Acta       Date:  2014-06-23       Impact factor: 3.786

9.  The Strategic Dialogue on Tobacco Harm Reduction: a vision and blueprint for action in the US.

Authors:  Mitchell Zeller; Dorothy Hatsukami
Journal:  Tob Control       Date:  2009-02-24       Impact factor: 7.552

Review 10.  Nicotine dependence pharmacogenetics: role of genetic variation in nicotine-metabolizing enzymes.

Authors:  Riju Ray; Rachel F Tyndale; Caryn Lerman
Journal:  J Neurogenet       Date:  2009-01-23       Impact factor: 1.250

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  10 in total

1.  Tobacco Use Classification by Inexpensive Urinary Cotinine Immunoassay Test Strips.

Authors:  Honest Achilihu; June Feng; Lanqing Wang; John T Bernert
Journal:  J Anal Toxicol       Date:  2019-03-01       Impact factor: 3.367

2.  Urine Metabolites for Estimating Daily Intake of Nicotine From Cigarette Smoking.

Authors:  Neal L Benowitz; Gideon St Helen; Natalie Nardone; Lisa Sanderson Cox; Peyton Jacob
Journal:  Nicotine Tob Res       Date:  2020-02-06       Impact factor: 4.244

3.  Hand Nicotine and Cotinine In Children Exposed to Cigars: A Pilot Study.

Authors:  E Melinda Mahabee-Gittens; Georg E Matt; Roman J Jandarov; Ashley L Merianos
Journal:  Tob Regul Sci       Date:  2021-05

4.  Urinary Nicotine Metabolites and Self-Reported Tobacco Use Among Adults in the Population Assessment of Tobacco and Health (PATH) Study, 2013-2014.

Authors:  June Feng; Connie S Sosnoff; John T Bernert; Benjamin C Blount; Yao Li; Arseima Y Del Valle-Pinero; Heather L Kimmel; Dana M van Bemmel; Sharyn M Rutt; Juan Crespo-Barreto; Nicolette Borek; Kathryn C Edwards; Ricky Alexander; Stephen Arnstein; Charles Lawrence; Andrew Hyland; Maciej L Goniewicz; Imran Rehmani; Brittany Pine; Vincent Pagnotti; Erin Wade; James Sandlin; Zuzheng Luo; Sujeewa Piyankarage; Dorothy K Hatsukami; Stephen S Hecht; Kevin P Conway; Lanqing Wang
Journal:  Nicotine Tob Res       Date:  2022-03-26       Impact factor: 5.825

5.  Association between Fathers' Use of Heated Tobacco Products and Urinary Cotinine Concentrations in Their Spouses and Children.

Authors:  Ayumi Onoue; Yohei Inaba; Kentaro Machida; Takuya Samukawa; Hiromasa Inoue; Hajime Kurosawa; Hiromitsu Ogata; Naoki Kunugita; Hisamitsu Omori
Journal:  Int J Environ Res Public Health       Date:  2022-05-21       Impact factor: 4.614

6.  Induction via Functional Protein Stabilization of Hepatic Cytochromes P450 upon gp78/Autocrine Motility Factor Receptor (AMFR) Ubiquitin E3-Ligase Genetic Ablation in Mice: Therapeutic and Toxicological Relevance.

Authors:  Doyoung Kwon; Sung-Mi Kim; Peyton Jacob; Yi Liu; Maria Almira Correia
Journal:  Mol Pharmacol       Date:  2019-09-06       Impact factor: 4.436

7.  Biomarkers of Exposure for Dual Use of Electronic Cigarettes and Combustible Cigarettes: Nicotelline, NNAL, and Total Nicotine Equivalents.

Authors:  Peyton Jacob; Gideon St Helen; Lisa Yu; Natalie Nardone; Christopher Havel; Polly Cheung; Neal L Benowitz
Journal:  Nicotine Tob Res       Date:  2020-06-12       Impact factor: 4.244

8.  Comparison of Nicotine Dependence and Biomarker Levels among Traditional Cigarette, Heat-Not-Burn Cigarette, and Liquid E-Cigarette Users: Results from the Think Study.

Authors:  Guillaume Rudasingwa; Yeonjin Kim; Cheolmin Lee; Jeomkyu Lee; Seunghyun Kim; Sungroul Kim
Journal:  Int J Environ Res Public Health       Date:  2021-04-29       Impact factor: 3.390

9.  Smoking Topography among Korean Smokers: Intensive Smoking Behavior with Larger Puff Volume and Shorter Interpuff Interval.

Authors:  Sungroul Kim; Sol Yu
Journal:  Int J Environ Res Public Health       Date:  2018-05-18       Impact factor: 3.390

10.  Dysregulated Metabolites Serve as Novel Biomarkers for Metabolic Diseases Caused by E-Cigarette Vaping and Cigarette Smoking.

Authors:  Qixin Wang; Xiangming Ji; Irfan Rahman
Journal:  Metabolites       Date:  2021-05-29
  10 in total

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