Evidence map›Paper›PMID 36252563›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2023

Impact of Genetic Variants in the Nicotine Metabolism Pathway on Nicotine Metabolite Levels in Smokers.

Yadira X Perez-Paramo, Christy J W Watson, Gang Chen, Claire E Thomas, Jennifer Adams-Haduch, Renwei Wang, Chiea Chuen Khor, Woon-Puay Koh, Heather H Nelson, Jian-Min Yuan and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 2 countries.

Yadira X Perez-ParamoDepartment of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington.ORCID 0000-0001-5888-8792
Christy J W WatsonDepartment of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington.ORCID 0000-0003-1049-1387
Gang ChenDepartment of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington.ORCID 0000-0002-4353-3806
Claire E ThomasDivision of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0001-9515-3277
Jennifer Adams-HaduchDivision of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0002-0640-3076
Renwei WangDivision of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0001-8871-7054
Chiea Chuen KhorGenome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore.ORCID 0000-0002-1128-4729
Woon-Puay KohHealth Services and Systems Research, Duke-NUS Medical School Singapore, Singapore, Singapore.ORCID 0000-0002-5674-6341
Heather H NelsonMasonic Cancer Center, University of Minnesota, Minneapolis, Minnesota.ORCID 0000-0003-1901-9513
Jian-Min YuanDivision of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0002-4620-3108
Philip LazarusDepartment of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington.ORCID 0000-0002-8686-0874
Washington State University Spokane · USUniversity of Pittsburgh · USUPMC Hillman Cancer Center · USAgency for Science, Technology and Research · SGSingHealth · SGUniversity of Minnesota · US

Funding

Prospective studies of cancer etiology and prevention in Shanghai and SingaporeR01CA144034 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2010 to 2014
$7.0M
DIETARY FACTORS IN THE ETIOLOGY OF CANCER IN SHANGHAIR01CA043092 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YUAN, JIAN-MIN · 1987 to 2006
$5.8M
THE SINGAPORE COHORT STUDY OF DIET AND CANCERR01CA080205 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YUAN, JIAN-MIN · 1999 to 2009
$5.3M
Cancer epidemiology cohorts in Shanghai and Singapore UM1CA182876 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2014 to 2018
$4.3M
The UGT2A and 3A metabolizing enzymes and tobacco-related cancer riskR01ES025460 · NIEHS · WASHINGTON STATE UNIVERSITY · PI LAZARUS, PHILIP · 2015 to 2019
$2.8M
NCI NIH HHS R01 CA043092NCI NIH HHS R01 CA080205NCI NIH HHS R01 CA144034NCI NIH HHS UM1 CA182876NIEHS NIH HHS R01 ES025460
6 · The paper itself

Abstract

backgroundNicotine metabolism is a major factor in nicotine dependence, with approximately 70% to 80% of nicotine metabolized to cotinine in Caucasians. Cotinine formation is catalyzed primarily by CYP2A6, which also converts cotinine to trans-3'-hydroxycotinine (3HC). The goal of the present study was to examine the effects of CYP2A6 deficiency on nicotine metabolism profiles in vivo and the importance of genetic variants in nicotine-metabolizing enzyme genes on urinary nicotine metabolites levels.

methodsUrine samples from 722 smokers who participated in the Singapore Chinese Health Study were analyzed using UPLC-MS/MS to detect nicotine and eight of its urinary metabolites, and a total of 58 variants in 12 genes involved in nicotine metabolism were investigated in 475 of these subjects with informative genotyping data.

resultsUrine samples stratified by the ratio of 3HC/cotinine exhibited a 7-fold increase in nicotine-N'-oxide, a 6-fold increase in nicotine-Glucuronide (Gluc), and a 5-fold decrease in 3HC-Gluc when comparing the lower versus upper 3HC/cotinine ventiles. Significant (P < 0.0001) associations were observed between functional metabolizing enzyme genotypes and levels of various urinary nicotine metabolites, including CYP2A6 genotype and levels of nicotine, nicotine-Gluc, nicotine-N'-oxide and 3HC, UGT2B10 genotype and levels of cotinine, nicotine-Gluc and cotinine-Gluc, UGT2B17 genotype and levels of 3HC-Gluc, FMO3 genotype and levels of nicotine-N'-oxide, and CYP2B6 genotype and levels of nicotine-N'-oxide and 4-hydroxy-4-(3-pyridyl)-butanoic acid.

conclusionsThese data suggest that several pathways are important in nicotine metabolism. IMPACT: Genotype differences in several nicotine-metabolizing enzyme pathways may potentially lead to differences in nicotine dependence and smoking behavior and cessation.

Indexed as

NicotineTobacco Use DisorderChromatography, LiquidCotinineCytochrome P-450 CYP2A6GenotypeGlucuronatesGlucuronosyltransferaseHumansSmokersTandem Mass SpectrometryCotinineCytochrome P-450 CYP2A6GlucuronatesGlucuronosyltransferaseNicotinenicotine N-glucuronideUGT2B10 protein, human

Identifiers

PMID36252563
PMCPMC9827107
OpenAlexW4306638547

What Socratic holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.