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Ashley DL, Zhu W, Bhandari D, Wang L, Feng J, Wang Y, Meng L, Xia B, Jarrett JM, Chang CM, Kimmel HL, Blount BC. Influence of Half-life and Smoking/Nonsmoking Ratio on Biomarker Consistency between Waves 1 and 2 of the Population Assessment of Tobacco and Health Study. Cancer Epidemiol Biomarkers Prev 2024; 33:80-87. [PMID: 37823832 PMCID: PMC10843274 DOI: 10.1158/1055-9965.epi-23-0538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 07/05/2023] [Accepted: 10/10/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Biomarkers of exposure are tools for understanding the impact of tobacco use on health outcomes if confounders like demographics, use behavior, biological half-life, and other sources of exposure are accounted for in the analysis. METHODS We performed multiple regression analysis of longitudinal measures of urinary biomarkers of alkaloids, tobacco-specific nitrosamines, polycyclic aromatic hydrocarbons, volatile organic compounds (VOC), and metals to examine the sample-to-sample consistency in Waves 1 and 2 of the Population Assessment of Tobacco and Health (PATH) Study including demographic characteristics and use behavior variables of persons who smoked exclusively. Regression coefficients, within- and between-person variance, and intra-class correlation coefficients (ICC) were compared with biomarker smoking/nonsmoking population mean ratios and biological half-lives. RESULTS Most biomarkers were similarly associated with sex, age, race/ethnicity, and product use behavior. The biomarkers with larger smoking/nonsmoking population mean ratios had greater regression coefficients related to recency of exposure. For VOC and alkaloid metabolites, longer biological half-life was associated with lower within-person variance. For each chemical class studied, there were biomarkers that demonstrated good ICCs. CONCLUSIONS For most of the biomarkers of exposure reported in the PATH Study, for people who smoke cigarettes exclusively, associations are similar between urinary biomarkers of exposure and demographic and use behavior covariates. Biomarkers of exposure within-subject consistency is likely associated with nontobacco sources of exposure and biological half-life. IMPACT Biomarkers measured in the PATH Study provide consistent sample-to-sample measures from which to investigate the association of adverse health outcomes with the characteristics of cigarettes and their use.
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Affiliation(s)
- David L. Ashley
- School of Public Health, Georgia State University, Atlanta, GA
| | - Wanzhe Zhu
- Division of Laboratory Sciences, National Center for Environmental Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA
| | - Deepak Bhandari
- Division of Laboratory Sciences, National Center for Environmental Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA
| | - Lanqing Wang
- Division of Laboratory Sciences, National Center for Environmental Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA
| | - Jun Feng
- Division of Laboratory Sciences, National Center for Environmental Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA
| | - Yuesong Wang
- Division of Laboratory Sciences, National Center for Environmental Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA
| | - Lei Meng
- Division of Laboratory Sciences, National Center for Environmental Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA
| | - Baoyun Xia
- Division of Laboratory Sciences, National Center for Environmental Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA
| | - Jeffery M. Jarrett
- Division of Laboratory Sciences, National Center for Environmental Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA
| | - Cindy M. Chang
- Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD
| | - Heather L. Kimmel
- National Institute for Drug Abuse, National Institutes of Health, Bethesda, MD
| | - Benjamin C. Blount
- Division of Laboratory Sciences, National Center for Environmental Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA
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Zheng Q, Gerber C, Steadman KJ, Lin CY, Tscharke BJ, O'Brien JW, Hobson P, Toms LM, Mueller JF, Thomas KV, Thai PK. Improving Wastewater-Based Tobacco Use Estimates Using Anabasine. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:7958-7965. [PMID: 37192131 DOI: 10.1021/acs.est.3c01510] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
In wastewater-based epidemiology (WBE), nicotine metabolites have been used as biomarkers for monitoring tobacco use. Recently, the minor tobacco alkaloids anabasine and anatabine have been suggested as more specific biomarkers for tobacco use since nicotine use can be from both tobacco and non-tobacco sources. This study aimed to provide an in-depth evaluation of the suitability of anabasine and anatabine as WBE biomarkers of tobacco and subsequently estimate their excretion factors for WBE applications. Pooled urine (n = 64) and wastewater samples (n = 277), collected between 2009 and 2019 in Queensland, Australia, were analyzed for nicotine and its metabolites (cotinine and hydroxycotinine), as well as anabasine and anatabine. Anabasine performed as the better biomarker, showing a similar per capita load in pooled urine (2.2 ± 0.3 μg/day/person) and wastewater samples (2.3 ± 0.3 μg/day/person), while the per capita load of anatabine in wastewater was 50% higher than its load in urine. It is estimated that 0.9 μg of anabasine was excreted per cigarette smoked. Triangulation of tobacco sales data and tobacco use estimated from either anabasine or cotinine showed that anabasine-based estimates were 5% higher than sales data, while cotinine-based estimates were between 2 and 28% higher. Our results provided concrete evidence to confirm the suitability of anabasine as a specific biomarker for monitoring tobacco use by WBE.
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Affiliation(s)
- Qiuda Zheng
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4102, Australia
| | - Cobus Gerber
- Clinical and Health Sciences, University of South Australia, Adelaide, SA 5001, Australia
| | - Kathryn J Steadman
- School of Pharmacy, The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4102, Australia
| | - Chun-Yin Lin
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4102, Australia
| | - Benjamin J Tscharke
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4102, Australia
| | - Jake William O'Brien
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4102, Australia
| | - Peter Hobson
- Sullivan Nicolaides Pathology, 24 Hurworth Street, Bowen Hills, QLD 4006, Australia
| | - Leisa-Maree Toms
- School of Public Health and Social Work, Queensland University of Technology, Kelvin Grove, QLD 4059, Australia
| | - Jochen F Mueller
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4102, Australia
| | - Kevin V Thomas
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4102, Australia
| | - Phong K Thai
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4102, Australia
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Colsoul ML, Goderniaux N, Onorati S, Dupuis S, Jamart J, Vanpee D, Berlin I, Galanti L. Novel proposed cutoff values for anatabine and anabasine in differentiating smokers from non-smokers. Clin Biochem 2023; 116:128-131. [PMID: 37146788 DOI: 10.1016/j.clinbiochem.2023.04.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 04/24/2023] [Accepted: 04/26/2023] [Indexed: 05/07/2023]
Abstract
OBJECTIVES Anatabine and anabasine are two tobacco alkaloids used to differentiate between tobacco users and abstainers, including users of nicotine replacement therapy. Cutoff values (>2 ng/mL for both alkaloids) have not been revised since their implementation in 2002. These values may be too high, leading to increased likelihood of misclassification between smokers and abstainers. This results in major consequences, especially adverse outcomes of transplantation when smokers were incorrectly identified as being abstinent. This study proposes that a lower threshold for anatabine and anabasine will better distinguish tobacco users from non-users and thereby improve patients' care. DESIGN AND METHODS A new and more sensitive analytical method by liquid chromatography-mass detection was developed to allow the quantification of low concentrations. Anatabine and anabasine were measured in urine samples of 116 self-reported daily smokers and 47 long-term non-smokers (confirmed by the analysis of nicotine and its metabolites). The best compromise between sensitivity and specificity allowed us to determine new cutoff values. RESULTS The thresholds >0.097 ng/mL for anatabine and >0.236 ng/mL for anabasine were associated with a sensitivity of 97% (anatabine) and 89% (anabasine) and a specificity of 98% for both alkaloids. These cutoff values greatly increased the sensitivity given that it dropped to 75% (anatabine) and 47% (anabasine) when using the reference value (>2 ng/mL). CONCLUSIONS The cutoff values >0.097 ng/mL for anatabine and >0.236 ng/mL for anabasine appear to better differentiate tobacco users from abstainers than the current reference threshold (>2 ng/mL for both alkaloids). It may considerably impact patients' care, especially in transplantation settings in which smoking abstinence is essential to avoid adverse outcomes of transplantation.
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Affiliation(s)
- Marie-Lise Colsoul
- Medical Laboratory, CHU UCL Namur, 1 avenue Dr Gaston Therasse, 5530 Yvoir, Belgium.
| | - Nicolas Goderniaux
- Medical Laboratory, CHU UCL Namur, 1 avenue Dr Gaston Therasse, 5530 Yvoir, Belgium
| | - Sabrina Onorati
- Medical Laboratory, CHU UCL Namur, 1 avenue Dr Gaston Therasse, 5530 Yvoir, Belgium
| | - Stéphanie Dupuis
- Medical Laboratory, CHU UCL Namur, 1 avenue Dr Gaston Therasse, 5530 Yvoir, Belgium
| | - Jacques Jamart
- Scientific Support Unit, CHU UCL Namur, 1 avenue Dr Gaston Therasse, 5530 Yvoir, Belgium
| | - Dominique Vanpee
- IRSS, 30 Clos Chapelle-aux-champs, 1200 Woluwe-Saint-Lambert, Belgium
| | - Ivan Berlin
- Pitié-Salpêtrière Hospital, 47-83 boulevard de l'Hôpital, 75013 Paris, France
| | - Laurence Galanti
- Medical Laboratory, CHU UCL Namur, 1 avenue Dr Gaston Therasse, 5530 Yvoir, Belgium
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von Weymarn LB, Lu X, Thomson NM, LeMarchand L, Park SL, Murphy SE. Quantitation of Ten Urinary Nicotine Metabolites, Including 4-Hydroxy-4-(3-pyridyl) Butanoic Acid, a Product of Nicotine 2'-Oxidation, and CYP2A6 Activity in Japanese Americans, Native Hawaiians, and Whites. Chem Res Toxicol 2023; 36:313-321. [PMID: 36735658 PMCID: PMC10042446 DOI: 10.1021/acs.chemrestox.2c00413] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Smoking intensity varies across smokers and is influenced by individual variability in the metabolism of nicotine, the major addictive agent in tobacco. Therefore, lung cancer risk, which varies by racial ethnic group, is influenced by the primary catalyst of nicotine metabolism, cytochrome P450 2A6 (CYP2A6). In smokers, CYP2A6 catalyzes nicotine 5'-oxidation. In vitro, CYP2A6 also catalyzes, to a much lower extent, 2'-oxidation, which leads to the formation of 4-hydroxy-4-(3-pyridyl) butanoic acid (hydroxy acid). The urinary concentration of hydroxy acid has been quantified in only a few small studies of White smokers. To quantitatively assess the importance of nicotine 2'-oxidation in smokers, an LC-MS/MS-based method was developed for the analysis of nicotine and ten metabolites in urine. The concentrations of nicotine and these metabolites were measured in 303 smokers (99 Whites, 99 Native Hawaiians, and 105 Japanese Americans), and the relative metabolism of nicotine by four pathways was determined. Metabolism by these pathways was also compared across quartiles of CYP2A6 activity (measured as the plasma ratio of 3-hydroxycotinine to cotinine). As reported previously and consistent with their average CYP2A6 activity, nicotine 5'-oxidation was highest in Whites and lowest in Japanese Americans. Nicotine N-glucuronidation and N-oxidation increased with decreasing CYP2A6 activity. However, the relative urinary concentration of hydroxy acid (mean, 2.3%; 95% CI, 2.2-2.4%) did not vary by ethnic group or by CYP2A6 activity. In summary, CYP2A6 is not an important catalyst of nicotine 2'-oxidation in smokers, nor does nicotine 2'-oxidation compensate for decreased CYP2A6 activity.
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Affiliation(s)
- Linda B von Weymarn
- Department of Biochemistry Molecular Biology and Biophysics and Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States.,Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Xiaotong Lu
- Department of Biochemistry Molecular Biology and Biophysics and Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States.,Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Nicole M Thomson
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Loic LeMarchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii 96813, United States
| | - Sungshim L Park
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii 96813, United States
| | - Sharon E Murphy
- Department of Biochemistry Molecular Biology and Biophysics and Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States.,Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States
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Merianos AL, Mahabee-Gittens EM, Stone TM, Jandarov RA, Wang L, Bhandari D, Blount BC, Matt GE. Distinguishing Exposure to Secondhand and Thirdhand Tobacco Smoke among U.S. Children Using Machine Learning: NHANES 2013-2016. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:2042-2053. [PMID: 36705578 PMCID: PMC10230650 DOI: 10.1021/acs.est.2c08121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
While the thirdhand smoke (THS) residue from tobacco smoke has been recognized as a distinct public health hazard, there are currently no gold standard biomarkers to differentiate THS from secondhand smoke (SHS) exposure. This study used machine learning algorithms to assess which combinations of biomarkers and reported tobacco smoke exposure measures best differentiate children into three groups: no/minimal tobacco smoke exposure (NEG); predominant THS exposure (TEG); and mixed SHS and THS exposure (MEG). Participants were 4485 nonsmoking 3-17-year-olds from the National Health and Nutrition Examination Survey 2013-2016. We fitted and tested random forest models, and the majority (76%) of children were classified in NEG, 16% were classified in TEG, and 8% were classified in MEG. The final classification model based on reported exposure, biomarker, and biomarker ratio variables had a prediction accuracy of 95%. This final model had prediction accuracies of 100% for NEG, 88% for TEG, followed by 71% for MEG. The most important predictors were the reported number of household smokers, serum cotinine, serum hydroxycotinine, and urinary 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL). In the absence of validated biomarkers specific to THS, comprehensive biomarker and questionnaire data for tobacco smoke exposure can distinguish children exposed to SHS and THS with high accuracy.
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Affiliation(s)
- Ashley L. Merianos
- School of Human Services, University of Cincinnati, P.O. Box 210068, Cincinnati OH, 45221, USA
| | - E. Melinda Mahabee-Gittens
- Division of Emergency Medicine, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, 3333 Burnet Avenue, MLC 2008, Cincinnati, OH, 45229, USA
| | - Timothy M. Stone
- Division of Biostatistics and Bioinformatics, Department of Environmental and Public Health Sciences, College of Medicine, University of Cincinnati, Kettering Lab Building, 160 Panzeca Way, Cincinnati, OH, 45267-0056, USA
| | - Roman A. Jandarov
- Division of Biostatistics and Bioinformatics, Department of Environmental and Public Health Sciences, College of Medicine, University of Cincinnati, Kettering Lab Building, 160 Panzeca Way, Cincinnati, OH, 45267-0056, USA
| | - Lanqing Wang
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Atlanta, GA, 30341, USA
| | - Deepak Bhandari
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Atlanta, GA, 30341, USA
| | - Benjamin C. Blount
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Atlanta, GA, 30341, USA
| | - Georg E. Matt
- Department of Psychology, College of Sciences, San Diego State University, 9245 Sky Park Court, Suite 225, San Diego, CA, 92123, USA
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Bendik PB, Rutt SM, Pine BN, Sosnoff CS, Blount BC, Zhu W, Feng J, Wang L. Anabasine and Anatabine Exposure Attributable to Cigarette Smoking: National Health and Nutrition Examination Survey (NHANES) 2013-2014. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159744. [PMID: 35955098 PMCID: PMC9368097 DOI: 10.3390/ijerph19159744] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 07/29/2022] [Accepted: 08/02/2022] [Indexed: 05/23/2023]
Abstract
Anabasine and anatabine are minor alkaloids in tobacco products and are precursors for tobacco-specific nitrosamines (TSNAs). The levels of these two compounds have been used to differentiate tobacco product sources, monitor compliance with smoking cessation programs, and for biomonitoring in TSNA-related studies. The concentrations of urinary anabasine and anatabine were measured in a representative sample of U.S. adults who smoked cigarettes (N = 770) during the 2013−2014 National Health and Nutrition Examination Survey (NHANES) study cycle, which was the first cycle where urinary anabasine and anatabine data became available. Weighted geometric means (GM) and geometric least squares means (LSM) with 95% confidence intervals were calculated for urinary anabasine and anatabine categorized by tobacco-use status [cigarettes per day (CPD) and smoking frequency] and demographic characteristics. Smoking ≥20 CPD was associated with 3.6× higher anabasine GM and 4.8× higher anatabine GM compared with smoking <10 CPD. Compared with non-daily smoking, daily smoking was associated with higher GMs for urinary anabasine (1.41 ng/mL vs. 6.28 ng/mL) and anatabine (1.62 ng/mL vs. 9.24 ng/mL). Urinary anabasine and anatabine concentrations exceeded the 2 ng/mL cut point in 86% and 91% of urine samples from people who smoke (PWS) daily, respectively; in comparison, 100% of them had serum cotinine concentrations greater than the established 10 ng/mL cut point. We compared these minor tobacco alkaloid levels to those of serum cotinine to assess their suitability as indicators of recent tobacco use at established cut points and found that their optimal cut point values would be lower than the established values. This is the first time that anabasine and anatabine are reported for urine collected from a U.S. population-representative sample of NHANES study participants, providing a snapshot of exposure levels for adults who smoked during 2013−2014. The results of this study serve as an initial reference point for future analysis of NHANES cycles, where changes in the national level of urinary anabasine and anatabine can be monitored among people who smoke to show the effect of changes in tobacco policy.
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Affiliation(s)
- Patrick B. Bendik
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
| | - Sharyn M. Rutt
- Office of Science, Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD 20992, USA
| | - Brittany N. Pine
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
| | - Connie S. Sosnoff
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
| | - Benjamin C. Blount
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
| | - Wanzhe Zhu
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
| | - June Feng
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
| | - Lanqing Wang
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
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Simultaneous quantification of urinary tobacco and marijuana metabolites using solid-supported liquid-liquid extraction coupled with liquid chromatography tandem mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 2022; 1208:123378. [PMID: 35908438 DOI: 10.1016/j.jchromb.2022.123378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 07/11/2022] [Accepted: 07/13/2022] [Indexed: 11/21/2022]
Abstract
Co-exposure to tobacco and marijuana has become common in areas where recreational marijuana use is legal. To assist in the determination of the combined health risks of this co-exposure, an analytical method capable of simultaneously measuring tobacco and marijuana metabolites is needed to reduce laboratory costs and the required sample volume. So far, no such analytical method exists. Thus, we developed and validated a method to simultaneously quantify urinary levels of trans-3'-hydroxycotinine (3OH-COT), cotinine (COT), and 11-nor-9-carboxy-Δ9-tetrahydrocannabinol (COOH-THC) to assess co-exposure to tobacco and marijuana. Urine (200 µL) was spiked with labelled internal standards and enzymatically hydrolyzed to liberate the conjugated analytes before extraction using solid-supported liquid-liquid extraction (SLE) with ethyl acetate serving as an eluent. The target analytes were separated on a C18 (4.6 × 100 mm, 5 μm) analytical column with a gradient mobile phase elution and analyzed using tandem mass spectrometry with multiple reaction monitoring of target ion transitions. Positive electrospray ionization (ESI) was used for 3OH-COT and COT, while negative ESI was used for COOH-THC. The total run time was 13 min. The extraction recoveries were 18.4-23.9 % (3OH-COT), 65.1-96.8 % (COT), and 80.6-95.4 % (COOH-THC). The method limits of quantification were 5.0 ng/mL (3OH-COT) and 2.5 ng/mL (COT and COOH-THC). The method showed good accuracy (82.5-98.5 %) and precision (1.22-6.21 % within-day precision and 1.42-6.26 % between-day precision). The target analytes were stable for at least 144 h inside the autosampler (10 °C). The analyses of reference materials and 146 urine samples demonstrated good method performance. The use of a 96-well plate for preparation makes the method useful for the analysis of large numbers of samples.
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Jacob P, Chan L, Cheung P, Bello K, Yu L, StHelen G, Benowitz NL. Minor Tobacco Alkaloids as Biomarkers to Distinguish Combusted Tobacco Use From Electronic Nicotine Delivery Systems Use. Two New Analytical Methods. Front Chem 2022; 10:749089. [PMID: 35720984 PMCID: PMC9198481 DOI: 10.3389/fchem.2022.749089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 05/04/2022] [Indexed: 11/13/2022] Open
Abstract
Biomarkers for the use of electronic nicotine delivery systems (ENDS) are desirable for studies of the health effects of electronic cigarettes and related devices. However, the aerosols inhaled from these devices do not contain substances that are unique to this class of products, i.e., substances that are not present in cigarette smoke or those that do not have common environmental or dietary sources. Consequently, identifying selective biomarkers for ENDS use remains a challenge. If co-use of conventional tobacco products can be definitively ruled out, then nicotine and its metabolites are suitable for assessing exposure. Self-reports from questionnaires are often used to obtain information on product use. But self-reports may not always be accurate, and are not amenable to obtaining quantitative information on exposure. An alternative approach is to use selective biomarkers for conventional tobacco products to definitively rule out their use. In this article, we describe two new LC-MS/MS methods for the minor tobacco alkaloids anabasine, anatabine, nicotelline, anatalline, and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL), a tobacco-specific nitrosamine metabolite, all biomarkers that are selective for the use of conventional tobacco products. Applications of these biomarkers in studies of ENDS use and dual use of ENDS and conventional tobacco products are also discussed.
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9
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Feng J, Sosnoff CS, Bernert JT, Blount BC, Li Y, Del Valle-Pinero AY, Kimmel HL, van Bemmel DM, Rutt SM, Crespo-Barreto J, Borek N, Edwards KC, Alexander R, Arnstein S, Lawrence C, Hyland A, Goniewicz ML, Rehmani I, Pine B, Pagnotti V, Wade E, Sandlin J, Luo Z, Piyankarage S, Hatsukami DK, Hecht SS, Conway KP, Wang L. Urinary Nicotine Metabolites and Self-Reported Tobacco Use Among Adults in the Population Assessment of Tobacco and Health (PATH) Study, 2013-2014. Nicotine Tob Res 2022; 24:768-777. [PMID: 35348786 PMCID: PMC9116621 DOI: 10.1093/ntr/ntab206] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 10/06/2021] [Indexed: 12/17/2023]
Abstract
INTRODUCTION The Population Assessment of Tobacco and Health (PATH) Study is a longitudinal cohort study on tobacco use behavior, attitudes and beliefs, and tobacco-related health outcomes, including biomarkers of tobacco exposure in the U.S. population. In this report we provide a summary of urinary nicotine metabolite measurements among adult users and non-users of tobacco from Wave 1 (2013-2014) of the PATH Study. METHODS Total nicotine and its metabolites including cotinine, trans-3'-hydroxycotinine (HCTT), and other minor metabolites were measured in more than 11 500 adult participants by liquid chromatography tandem mass spectrometry methods. Weighted geometric means (GM) and least square means from statistical modeling were calculated for non-users and users of various tobacco products. RESULTS Among daily users, the highest GM concentrations of nicotine, cotinine and HCTT were found in exclusive smokeless tobacco users, and the lowest in exclusive e-cigarette users. Exclusive combustible product users had intermediate concentrations, similar to those found in users of multiple products (polyusers). Concentrations increased with age within the categories of tobacco users, and differences associated with gender, race/ethnicity and educational attainment were also noted among user categories. Recent (past 12 months) former users had GM cotinine concentrations that were more than threefold greater than never users. CONCLUSIONS These urinary nicotine metabolite data provide quantification of nicotine exposure representative of the entire US adult population during 2013-2014 and may serve as a reference for similar analyses in future measurements within this study. IMPLICATIONS Nicotine and its metabolites in urine provide perhaps the most fundamental biomarkers of recent nicotine exposure. This report, based on Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study, provides the first nationally representative data describing urinary nicotine biomarker concentrations in both non-users, and users of a variety of tobacco products including combustible, e-cigarette and smokeless products. These data provide a urinary biomarker concentration snapshot in time for the entire US population during 2013-2014, and will provide a basis for comparison with future results from continuing, periodic evaluations in the PATH Study.
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Affiliation(s)
- June Feng
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Connie S Sosnoff
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - John T Bernert
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Benjamin C Blount
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Yao Li
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Arseima Y Del Valle-Pinero
- Office of Science, Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Heather L Kimmel
- Division of Epidemiology, Services and Prevention Research, National Institute of Drug Abuse, Bethesda, MD, USA
| | - Dana M van Bemmel
- Office of Science, Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Sharyn M Rutt
- Office of Science, Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Juan Crespo-Barreto
- Office of Science, Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Nicolette Borek
- Office of Science, Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | | | - Ricky Alexander
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Stephen Arnstein
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Andrew Hyland
- Roswell Park Comprehensive Cancer Center, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Maciej L Goniewicz
- Roswell Park Comprehensive Cancer Center, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Imran Rehmani
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Brittany Pine
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Vincent Pagnotti
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Erin Wade
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - James Sandlin
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Zuzheng Luo
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sujeewa Piyankarage
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Stephen S Hecht
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Kevin P Conway
- Division of Epidemiology, Services and Prevention Research, National Institute of Drug Abuse, Bethesda, MD, USA
| | - Lanqing Wang
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
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10
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Mazumder S, Shia W, Bendik PB, Achilihu H, Sosnoff CS, Alexander JR, Luo Z, Zhu W, Pine BN, Feng J, Blount BC, Wang L. Nicotine Exposure in the U.S. Population: Total Urinary Nicotine Biomarkers in NHANES 2015-2016. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:3660. [PMID: 35329347 PMCID: PMC8955498 DOI: 10.3390/ijerph19063660] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/15/2022] [Accepted: 03/17/2022] [Indexed: 02/01/2023]
Abstract
We characterize nicotine exposure in the U.S. population by measuring urinary nicotine and its major (cotinine, trans-3′-hydroxycotinine) and minor (nicotine 1′-oxide, cotinine N-oxide, and 1-(3-pyridyl)-1-butanol-4-carboxylic acid, nornicotine) metabolites in participants from the 2015−2016 National Health and Nutrition Examination Survey. This is one of the first U.S. population-based urinary nicotine biomarker reports using the derived total nicotine equivalents (i.e., TNEs) to characterize exposure. Serum cotinine data is used to stratify tobacco non-users with no detectable serum cotinine (−sCOT), non-users with detectable serum cotinine (+sCOT), and individuals who use tobacco (users). The molar concentration sum of cotinine and trans-3′-hydroxycotinine was calculated to derive the TNE2 for non-users. Additionally, for users, the molar concentration sum of nicotine and TNE2 was calculated to derive the TNE3, and the molar concentration sum of the minor metabolites and TNE3 was calculated to derive the TNE7. Sample-weighted summary statistics are reported. We also generated multiple linear regression models to analyze the association between biomarker concentrations and tobacco use status, after adjusting for select demographic factors. We found TNE7 is positively correlated with TNE3 and TNE2 (r = 0.99 and 0.98, respectively), and TNE3 is positively correlated with TNE2 (r = 0.98). The mean TNE2 concentration was elevated for the +sCOT compared with the −sCOT group (0.0143 [0.0120, 0.0172] µmol/g creatinine and 0.00188 [0.00172, 0.00205] µmol/g creatinine, respectively), and highest among users (33.5 [29.6, 37.9] µmol/g creatinine). Non-daily tobacco use was associated with 50% lower TNE7 concentrations (p < 0.0001) compared with daily use. In this report, we show tobacco use frequency and passive exposure to nicotine are important sources of nicotine exposure. Furthermore, this report provides more information on non-users than a serum biomarker report, which underscores the value of urinary nicotine biomarkers in extending the range of trace-level exposures that can be characterized.
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Affiliation(s)
- Shrila Mazumder
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.S.); (P.B.B.); (H.A.); (C.S.S.); or (J.R.A.); (Z.L.); (W.Z.); (B.N.P.); (J.F.); (B.C.B.); (L.W.)
| | - Winnie Shia
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.S.); (P.B.B.); (H.A.); (C.S.S.); or (J.R.A.); (Z.L.); (W.Z.); (B.N.P.); (J.F.); (B.C.B.); (L.W.)
- Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN 37830, USA
| | - Patrick B. Bendik
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.S.); (P.B.B.); (H.A.); (C.S.S.); or (J.R.A.); (Z.L.); (W.Z.); (B.N.P.); (J.F.); (B.C.B.); (L.W.)
- Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN 37830, USA
| | - Honest Achilihu
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.S.); (P.B.B.); (H.A.); (C.S.S.); or (J.R.A.); (Z.L.); (W.Z.); (B.N.P.); (J.F.); (B.C.B.); (L.W.)
| | - Connie S. Sosnoff
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.S.); (P.B.B.); (H.A.); (C.S.S.); or (J.R.A.); (Z.L.); (W.Z.); (B.N.P.); (J.F.); (B.C.B.); (L.W.)
| | - Joseph R. Alexander
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.S.); (P.B.B.); (H.A.); (C.S.S.); or (J.R.A.); (Z.L.); (W.Z.); (B.N.P.); (J.F.); (B.C.B.); (L.W.)
| | - Zuzheng Luo
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.S.); (P.B.B.); (H.A.); (C.S.S.); or (J.R.A.); (Z.L.); (W.Z.); (B.N.P.); (J.F.); (B.C.B.); (L.W.)
| | - Wanzhe Zhu
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.S.); (P.B.B.); (H.A.); (C.S.S.); or (J.R.A.); (Z.L.); (W.Z.); (B.N.P.); (J.F.); (B.C.B.); (L.W.)
| | - Brittany N. Pine
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.S.); (P.B.B.); (H.A.); (C.S.S.); or (J.R.A.); (Z.L.); (W.Z.); (B.N.P.); (J.F.); (B.C.B.); (L.W.)
- Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN 37830, USA
| | - June Feng
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.S.); (P.B.B.); (H.A.); (C.S.S.); or (J.R.A.); (Z.L.); (W.Z.); (B.N.P.); (J.F.); (B.C.B.); (L.W.)
| | - Benjamin C. Blount
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.S.); (P.B.B.); (H.A.); (C.S.S.); or (J.R.A.); (Z.L.); (W.Z.); (B.N.P.); (J.F.); (B.C.B.); (L.W.)
| | - Lanqing Wang
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.S.); (P.B.B.); (H.A.); (C.S.S.); or (J.R.A.); (Z.L.); (W.Z.); (B.N.P.); (J.F.); (B.C.B.); (L.W.)
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11
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Application of HPLC-QQQ-MS/MS and New RP-HPLC-DAD System Utilizing the Chaotropic Effect for Determination of Nicotine and Its Major Metabolites Cotinine, and trans-3'-Hydroxycotinine in Human Plasma Samples. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27030682. [PMID: 35163947 PMCID: PMC8839739 DOI: 10.3390/molecules27030682] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 01/17/2022] [Accepted: 01/18/2022] [Indexed: 01/14/2023]
Abstract
The routine techniques currently applied for the determination of nicotine and its major metabolites, cotinine, and trans-3′-hydroxycotinine, in biological fluids, include spectrophotometric, immunoassays, and chromatographic techniques. The aim of this study was to develop, and compare two new chromatographic methods high-performance liquid chromatography coupled to triple quadrupole mass spectrometry (HPLC-QQQ-MS/MS), and RP-HPLC enriched with chaotropic additives, which would allow reliable confirmation of tobacco smoke exposure in toxicological and epidemiological studies. The concentrations of analytes were determined in human plasma as the sample matrix. The methods were compared in terms of the linearity, accuracy, repeatability, detection and quantification limits (LOD and LOQ), and recovery. The obtained validation parameters met the ICH requirements for both proposed procedures. However, the limits of detection (LOD) were much better for HPLC-QQQ-MS/MS (0.07 ng mL−1 for trans-3′-hydroxcotinine; 0.02 ng mL−1 for cotinine; 0.04 ng mL−1 for nicotine) in comparison to the RP-HPLC-DAD enriched with chaotropic additives (1.47 ng mL−1 for trans-3′-hydroxcotinine; 1.59 ng mL−1 for cotinine; 1.50 ng mL−1 for nicotine). The extraction efficiency (%) was concentration-dependent and ranged between 96.66% and 99.39% for RP-HPLC-DAD and 76.8% to 96.4% for HPLC-QQQ-MS/MS. The usefulness of the elaborated analytical methods was checked on the example of the analysis of a blood sample taken from a tobacco smoker. The nicotine, cotinine, and trans-3′-hydroxycotinine contents in the smoker’s plasma quantified by the RP-HPLC-DAD method differed from the values measured by the HPLC-QQQ-MS/MS. However, the relative errors of measurements were smaller than 10% (6.80%, 6.72%, 2.04% respectively).
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12
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Piyankarage SC, McGahee E, Feng J, Blount BC, Wang L. Automated Solid Phase Extraction and Polarity-Switching Tandem Mass Spectrometry Technique for High Throughput Analysis of Urine Biomarkers for 14 Tobacco-related Compounds. ACS OMEGA 2021; 6:30901-30909. [PMID: 34841133 PMCID: PMC8613820 DOI: 10.1021/acsomega.1c02543] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 10/28/2021] [Indexed: 05/03/2023]
Abstract
Tobacco use is the leading preventable cause of premature disease and death in the United States. Approximately, 34 million U.S. adults currently smoke cigarettes. We developed a method for automated sample preparation and liquid chromatography-tandem mass spectrometry quantitation of 14 tobacco-related analytes: nicotine (NICF), cotinine (COTF), trans-3'-hydroxycotinine (HCTF), menthol glucuronide (MEG), anabasine (ANBF), anatabine (ANTF), isonicoteine (ISNT), myosmine (MYOS), beta-nicotyrine (BNTR), bupropion (BUPR), cytisine (CYTI), varenicline (VARE), arecaidine (ARD), and arecoline (ARL). The method includes automated solid-phase extraction using customized positive-pressure functions. The preparation scheme has the capacity to process a batch of 96 samples within 4 h with greater than 88% recovery for all analytes. The 14 analytes, separated within 4.15 min using reversed-phase liquid chromatography, were determined using a triple-quadrupole mass spectrometer with atmospheric-pressure chemical ionization and multiple reaction monitoring in negative and positive ionization modes. Wide quantitation ranges, within 1.2-72,000 ng/mL, were established especially for COTF, HCTF, MEG, and NICF to quantify the broad range of biomarker concentrations found in the U.S. population. The method accuracy is above 90% while the overall imprecision is below 7%. Finally, we tested urine samples from 90 smokers and observed detection rates of over 98% for six analytes with urinary HCTF and MEG concentrations ranging from 200-14,100 and 60-57,100 ng/mL, respectively. This high throughput analytical process can prepare and analyze a sample in 9 min and along with the 14-compound analyte panel can be useful for tobacco-exposure studies, in smoking-cessation programs, and for detecting changes in exposure related to tobacco products and their use.
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13
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Evans-Polce RJ, Smith DM, Veliz P, Boyd CJ, McCabe SE. Sexual identity differences in biomarkers of tobacco exposure among women in a national sample. Cancer Epidemiol 2021; 74:101980. [PMID: 34247064 PMCID: PMC8455424 DOI: 10.1016/j.canep.2021.101980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 06/29/2021] [Accepted: 07/01/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Sexual minority women are consistently at increased risk for tobacco use compared to heterosexual women. Neither biomarkers of nicotine exposure nor biomarkers of tobacco toxicant exposure have been examined by sexual identity. METHODS This study used interview and biomarker data from women in the biomarker core sample of Wave 1 of the Population Assessment of Tobacco and Health (PATH) study (2013-2014; n = 4930). We examined associations of sexual identity with nicotine exposure (measured with urinary cotinine and TNE-2) and with tobacco-specific nitrosamines (measured with urinary NNAL). Multivariable regression modeling was used to examine these associations among the full biomarker core sample, among past 30-day tobacco users, and among exclusive established cigarette users before and after controlling for tobacco use quantity and intensity. RESULTS In the full biomarker sample of women, prior to adjusting for tobacco use quantity and intensity, bisexual women had significantly higher cotinine, TNE-2, and NNAL levels compared to heterosexual women. Among exclusive established cigarette users, gay/lesbian women had significantly higher NNAL compared to heterosexual women prior to adjusting for tobacco quantity and intensity. No differences by sexual identity were found after adjusting for tobacco use quantity and intensity. CONCLUSIONS This is the first study to demonstrate differences in biological markers of tobacco exposure by sexual identity among women in the U.S. This has important public health implications as greater exposure to both nicotine and to tobacco-specific nitrosamines are strongly linked to cancer risk.
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Affiliation(s)
- Rebecca J Evans-Polce
- Center for the Study of Drugs, Alcohol, Smoking and Health Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor, MI, USA.
| | - Danielle M Smith
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Philip Veliz
- Center for the Study of Drugs, Alcohol, Smoking and Health Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor, MI, USA; Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Carol J Boyd
- Center for the Study of Drugs, Alcohol, Smoking and Health Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor, MI, USA; Institute for Research on Women and Gender, University of Michigan, Ann Arbor, MI, USA; Addiction Center, Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Sean Esteban McCabe
- Center for the Study of Drugs, Alcohol, Smoking and Health Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor, MI, USA; Institute for Social Research, University of Michigan, Ann Arbor, MI, USA; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; Institute for Research on Women and Gender, University of Michigan, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Center for Sexuality and Health Disparities, School of Nursing, University of Michigan, Ann Arbor, MI, USA
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14
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Sakamaki-Ching S, Williams M, Hua M, Li J, Bates SM, Robinson AN, Lyons TW, Goniewicz ML, Talbot P. Correlation between biomarkers of exposure, effect and potential harm in the urine of electronic cigarette users. BMJ Open Respir Res 2021; 7:7/1/e000452. [PMID: 32079607 PMCID: PMC7047495 DOI: 10.1136/bmjresp-2019-000452] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 12/04/2019] [Accepted: 12/30/2019] [Indexed: 12/17/2022] Open
Abstract
Objectives To determine if urinary biomarkers of effect and potential harm are elevated in electronic cigarette users compared with non-smokers and if elevation correlates with increased concentrations of metals in urine. Study design and setting This was a cross-sectional study of biomarkers of exposure, effect and potential harm in urine from non-smokers (n=20), electronic cigarette users (n=20) and cigarette smokers (n=13). Participant’s screening and urine collection were performed at the Roswell Park Comprehensive Cancer Center, and biomarker analysis and metal analysis were performed at the University of California, Riverside. Results Metallothionein was significantly elevated in the electronic cigarette group (3761±3932 pg/mg) compared with the non-smokers (1129±1294 pg/mg, p=0.05). 8-OHdG (8-hydroxy-2′-deoxyguanosine) was significantly elevated in electronic cigarette users (442.8±300.7 ng/mg) versus non-smokers (221.6±157.8 ng/mg, p=0.01). 8-Isoprostane showed a significant increase in electronic cigarette users (750.8±433 pg/mg) versus non-smokers (411.2±287.4 pg/mg, p=0.03). Linear regression analysis in the electronic cigarette group showed a significant correlation between cotinine and total metal concentration; total metal concentration and metallothionein; cotinine and oxidative DNA damage; and total metal concentration and oxidative DNA damage. Zinc was significantly elevated in the electronic cigarette users (584.5±826.6 µg/g) compared with non-smokers (413.6±233.7 µg/g, p=0.03). Linear regression analysis showed a significant correlation between urinary zinc concentration and 8-OHdG in the electronic cigarette users. Conclusions This study is the first to investigate biomarkers of potential harm and effect in electronic cigarette users and to show a linkage to metal exposure. The biomarker levels in electronic cigarette users were similar to (and not lower than) cigarette smokers. In electronic cigarette users, there was a link to elevated total metal exposure and oxidative DNA damage. Specifically, our results demonstrate that zinc concentration was correlated to oxidative DNA damage.
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Affiliation(s)
- Shane Sakamaki-Ching
- Department of Cell, Molecular, and Developmental Biology, University of California Riverside, Riverside, California, USA
| | - Monique Williams
- Department of Toxicology, University of California Riverside, Riverside, California, USA
| | - My Hua
- Department of Toxicology, University of California Riverside, Riverside, California, USA
| | - Jun Li
- Department of Statistics, University of California Riverside, Riverside, California, USA
| | - Steve M Bates
- Department of Earth and Planetary Sciences, University of California Riverside, Riverside, California, USA
| | - Andrew N Robinson
- Department of Earth and Planetary Sciences, University of California Riverside, Riverside, California, USA
| | - Timothy W Lyons
- Department of Earth and Planetary Sciences, University of California Riverside, Riverside, California, USA
| | | | - Prue Talbot
- Department of Cell, Molecular, and Developmental Biology, University of California Riverside, Riverside, California, USA
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15
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Xia B, Blount BC, Wang L. Sensitive Quantification of Nicotine in Bronchoalveolar Lavage Fluid by Acetone Precipitation Combined With Isotope-Dilution Liquid Chromatography-Tandem Mass Spectrometry. ACS OMEGA 2021; 6:13962-13969. [PMID: 34124421 PMCID: PMC8190791 DOI: 10.1021/acsomega.0c05696] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 03/26/2021] [Indexed: 06/12/2023]
Abstract
The United States experienced an outbreak of e-cigarette, or vaping, product use-associated lung injury (EVALI) that began in August 2019. Patient diagnosis and treatment sometimes involved bronchoscopy and collection of the bronchoalveolar lavage (BAL) fluid. Although this matrix has been useful for understanding some chemical exposures in the lungs, no methods existed for measuring the nicotine content. Therefore, we developed a simple and sensitive method for measuring nicotine in the BAL fluid. Nicotine was extracted from the BAL fluid using acetone precipitation in a 96-well plate format to increase the sample throughput (200 samples/day). We optimized liquid chromatography column conditions (e.g., mobile phase, column temperature) and mass spectrometry parameters to improve the signal-to-noise ratio and lower limits of detection (LOD) for measuring nicotine in the BAL fluid. The LOD for nicotine in the BAL fluid was 0.050 ng/mL at a sample volume of 40 μL of the BAL fluid. The within-day and between-day imprecision and bias were less than 10%. This method detected nicotine in 15 of 43 BAL fluids from EVALI case patients. This method is useful for understanding recent inhalational exposure to nicotine as part of characterizing EVALI or similar illnesses.
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16
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Smith DM, Christensen C, van Bemmel D, Borek N, Ambrose B, Erives G, Niaura R, Edwards KC, Stanton CA, Blount BC, Wang L, Feng J, Jarrett JM, Ward CD, Hatsukami D, Hecht SS, Kimmel HL, Travers M, Hyland A, Goniewicz ML. Exposure to Nicotine and Toxicants Among Dual Users of Tobacco Cigarettes and E-Cigarettes: Population Assessment of Tobacco and Health (PATH) Study, 2013-2014. Nicotine Tob Res 2021; 23:790-797. [PMID: 33590857 PMCID: PMC8095240 DOI: 10.1093/ntr/ntaa252] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 11/30/2020] [Indexed: 12/16/2022]
Abstract
INTRODUCTION Concurrent use of tobacco cigarettes and e-cigarettes ("dual use") is common among tobacco users. Little is known about differences in demographics and toxicant exposure among subsets of dual users. AIMS AND METHODS We analyzed data from adult dual users (current every/some day users of tobacco cigarettes and e-cigarettes, n = 792) included in the PATH Study Wave 1 (2013-2014) and provided urine samples. Samples were analyzed for biomarkers of exposure to nicotine and selected toxicants (tobacco-specific nitrosamine NNK [NNAL], lead, cadmium, naphthalene [2-naphthol], pyrene [1-hydroxypyrene], acrylonitrile [CYMA], acrolein [CEMA], and acrylamide [AAMA]). Subsets of dual users were compared on demographic, behavioral, and biomarker measures to exclusive cigarette smokers (n = 2411) and exclusive e-cigarette users (n = 247). RESULTS Most dual users were predominant cigarette smokers (70%), followed by daily dual users (13%), non-daily concurrent dual users (10%), and predominant vapers (7%). Dual users who smoked daily showed significantly higher biomarker concentrations compared with those who did not smoke daily. Patterns of e-cigarette use had little effect on toxicant exposure. Dual users with high toxicant exposure were generally older, female, and smoked more cigarettes per day. Dual users who had low levels of biomarkers of exposure were generally younger, male, and smoked non-daily. CONCLUSIONS In 2013-2014, most dual users smoked cigarettes daily and used e-cigarettes occasionally. Cigarette smoking appears to be the primary driver of toxicant exposure among dual users, with little-to-no effect of e-cigarette use on biomarker levels. Results reinforce the need for dual users to stop smoking tobacco cigarettes to reduce toxicant exposure. IMPLICATIONS With considerable dual use of tobacco cigarettes and e-cigarettes in the United States, it is important to understand differences in toxicant exposure among subsets of dual users, and how these differences align with user demographics. Findings suggest most dual users smoke daily and use e-cigarettes intermittently. Low exposure to toxicants was most common among younger users, males, and intermittent smokers; high exposure to toxicants was most common among older users, females, and heavier cigarette smokers. Results underscore the heterogeneity occurring within dual users, and the need to quit smoking cigarettes completely in order to reduce toxicant exposure.
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Affiliation(s)
- Danielle M Smith
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Carol Christensen
- Office of Science, Center for Tobacco Products, Food and Drug Administration (FDA), Silver Spring, MD, USA
| | - Dana van Bemmel
- Office of Science, Center for Tobacco Products, Food and Drug Administration (FDA), Silver Spring, MD, USA
| | - Nicolette Borek
- Office of Science, Center for Tobacco Products, Food and Drug Administration (FDA), Silver Spring, MD, USA
| | - Bridget Ambrose
- Office of Science, Center for Tobacco Products, Food and Drug Administration (FDA), Silver Spring, MD, USA
| | - Gladys Erives
- Office of Science, Center for Tobacco Products, Food and Drug Administration (FDA), Silver Spring, MD, USA
| | - Raymond Niaura
- Department of Social and Behavioral Sciences, College of Global Public Health, New York University, New York, NY, USA
| | - Kathryn C Edwards
- Behavioral Health & Health Policy Practice, Westat, Rockville, MD, USA
| | | | - Benjamin C Blount
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA
| | - Lanqing Wang
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA
| | - Jun Feng
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA
| | - Jeffery M Jarrett
- Inorganic and Radiation Analytical Toxicology Branch, Division of Laboratory Sciences, Centers for Disease Control (CDC), Atlanta, GA, USA
| | - Cynthia D Ward
- Inorganic and Radiation Analytical Toxicology Branch, Division of Laboratory Sciences, Centers for Disease Control (CDC), Atlanta, GA, USA
| | - Dorothy Hatsukami
- University of Minnesota, Masonic Cancer Center, Minneapolis, MN, USA
| | - Stephen S Hecht
- University of Minnesota, Masonic Cancer Center, Minneapolis, MN, USA
| | - Heather L Kimmel
- Epidemiology Research Branch, National Institute of Drug Abuse (NIDA), Bethesda, MD, USA
| | - Mark Travers
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Andrew Hyland
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Maciej L Goniewicz
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
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17
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Murphy SE. Biochemistry of nicotine metabolism and its relevance to lung cancer. J Biol Chem 2021; 296:100722. [PMID: 33932402 PMCID: PMC8167289 DOI: 10.1016/j.jbc.2021.100722] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 04/26/2021] [Accepted: 04/27/2021] [Indexed: 12/27/2022] Open
Abstract
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′-diphosphoglucuronosyltransferase 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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Affiliation(s)
- Sharon E Murphy
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA.
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18
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Edwards KC, Naz T, Stanton CA, Goniewicz ML, Hatsukami DK, Smith DM, Wang L, Villanti A, Pearson J, Blount BC, Bansal-Travers M, Feng J, Niaura R, Manderski MTB, Sosnoff CS, Delnevo CD, Duffy K, Del Valle-Pinero AY, Rostron BL, Everard C, Kimmel HL, van Bemmel DM, Hyland A. Urinary Cotinine and Cotinine + Trans-3'-Hydroxycotinine (TNE-2) Cut-points for Distinguishing Tobacco Use from Nonuse in the United States: PATH Study (2013-2014). Cancer Epidemiol Biomarkers Prev 2021; 30:1175-1184. [PMID: 33827982 DOI: 10.1158/1055-9965.epi-20-0997] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 12/11/2020] [Accepted: 03/23/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Determine the overall, sex-, and racially/ethnically-appropriate population-level cotinine and total nicotine equivalents (TNE-2, the molar sum of the two major nicotine metabolites) cut-points to distinguish tobacco users from nonusers across multiple definitions of use (e.g., exclusive vs. polytobacco, and daily vs. non-daily). METHODS Using Wave 1 (2013-2014) of the U.S. Population Assessment of Tobacco and Health (PATH) Study, we conducted weighted Receiver Operating Characteristic (ROC) analysis to determine the optimal urinary cotinine and TNE-2 cut-points, stratified by sex and race/ethnicity. RESULTS For past 30-day exclusive cigarette users, the cotinine cut-point that distinguished them from nonusers was 40.5 ng/mL, with considerable variation by sex (male: 22.2 ng/mL; female: 43.1 ng/mL) and between racial/ethnic groups (non-Hispanic other: 5.2 ng/mL; non-Hispanic black: 297.0 ng/mL). A similar, but attenuated, pattern emerged when assessing polytobacco cigarette users (overall cut-point = 39.1 ng/mL, range = 5.5 ng/mL-80.4 ng/mL) and any tobacco users (overall cut-point = 39.1 ng/mL, range = 4.8 ng/mL-40.0 ng/mL). Using TNE-2, which is less impacted by racial differences in nicotine metabolism, produced a comparable pattern of results although reduced the range magnitude. CONCLUSIONS Because of similar frequency of cigarette use among polytobacco users, overall cut-points for exclusive cigarette use were not substantially different from cut-points that included polytobacco cigarette use or any tobacco use. Results revealed important differences in sex and race/ethnicity appropriate cut-points when evaluating tobacco use status and established novel urinary TNE-2 cut-points. IMPACT These cut-points may be used for biochemical verification of self-reported tobacco use in epidemiologic studies and clinical trials.
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Affiliation(s)
| | | | | | | | | | | | - Lanqing Wang
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | | | | | | | - June Feng
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Michelle T Bover Manderski
- Rutgers Center for Tobacco Studies, Rutgers Biomedical and Health Sciences, Rutgers University, New Brunswick, New Jersey
| | | | - Cristine D Delnevo
- Rutgers Center for Tobacco Studies, Rutgers Biomedical and Health Sciences, Rutgers University, New Brunswick, New Jersey
| | - Kara Duffy
- Center for Tobacco Products, Food and Drug Administration, Silver Spring, Maryland
| | | | - Brian L Rostron
- Center for Tobacco Products, Food and Drug Administration, Silver Spring, Maryland
| | - Colm Everard
- Kelly Government Solutions, Rockville, Maryland
- Division of Epidemiology, Services, and Prevention Research, National Institute on Drug Abuse, Bethesda, Maryland
| | - Heather L Kimmel
- Division of Epidemiology, Services, and Prevention Research, National Institute on Drug Abuse, Bethesda, Maryland
| | - Dana M van Bemmel
- Center for Tobacco Products, Food and Drug Administration, Silver Spring, Maryland
| | - Andrew Hyland
- Westat, Rockville, Maryland
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
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Xia B, Blount BC, Guillot T, Brosius C, Li Y, Van Bemmel DM, Kimmel HL, Chang CM, Borek N, Edwards KC, Lawrence C, Hyland A, Goniewicz ML, Pine BN, Xia Y, Bernert JT, De Castro BR, Lee J, Brown JL, Arnstein S, Choi D, Wade EL, Hatsukami D, Ervies G, Cobos A, Nicodemus K, Freeman D, Hecht SS, Conway K, Wang L. Tobacco-Specific Nitrosamines (NNAL, NNN, NAT, and NAB) Exposures in the US Population Assessment of Tobacco and Health (PATH) Study Wave 1 (2013-2014). Nicotine Tob Res 2021; 23:573-583. [PMID: 32716026 PMCID: PMC7885786 DOI: 10.1093/ntr/ntaa110] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 06/19/2020] [Indexed: 12/12/2022]
Abstract
INTRODUCTION The tobacco-specific nitrosamines (TSNAs) are an important group of carcinogens found in tobacco and tobacco smoke. To describe and characterize the levels of TSNAs in the Population Assessment of Tobacco and Health (PATH) Study Wave 1 (2013-2014), we present four biomarkers of TSNA exposure: N'-nitrosonornicotine, N'-nitrosoanabasine, N'-nitrosoanatabine, and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) which is the primary urinary metabolite of 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone. METHODS We measured total TSNAs in 11 522 adults who provided urine using automated solid-phase extraction coupled to isotope dilution liquid chromatography-tandem mass spectrometry. After exclusions in this current analysis, we selected 11 004 NNAL results, 10 753 N'-nitrosonornicotine results, 10 919 N'-nitrosoanatabine results, and 10 996 N'-nitrosoanabasine results for data analysis. Geometric means and correlations were calculated using SAS and SUDAAN. RESULTS TSNA concentrations were associated with choice of tobacco product and frequency of use. Among established, every day, exclusive tobacco product users, the geometric mean urinary NNAL concentration was highest for smokeless tobacco users (993.3; 95% confidence interval [CI: 839.2, 1147.3] ng/g creatinine), followed by all types of combustible tobacco product users (285.4; 95% CI: [267.9, 303.0] ng/g creatinine), poly tobacco users (278.6; 95% CI: [254.9, 302.2] ng/g creatinine), and e-cigarette product users (6.3; 95% CI: [4.7, 7.9] ng/g creatinine). TSNA concentrations were higher in every day users than in intermittent users for all the tobacco product groups. Among single product users, exposure to TSNAs differed by sex, age, race/ethnicity, and education. Urinary TSNAs and nicotine metabolite biomarkers were also highly correlated. CONCLUSIONS We have provided PATH Study estimates of TSNA exposure among US adult users of a variety of tobacco products. These data can inform future tobacco product and human exposure evaluations and related regulatory activities.
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Affiliation(s)
- Baoyun Xia
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - Benjamin C Blount
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - Tonya Guillot
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - Christina Brosius
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - Yao Li
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - Dana M Van Bemmel
- Office of Science, Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD
| | - Heather L Kimmel
- Division of Epidemiology, Services and Prevention Research, National Institute of Drug Abuse, Bethesda, MD
| | - Cindy M Chang
- Office of Science, Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD
| | - Nicolette Borek
- Office of Science, Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD
| | | | | | - Andrew Hyland
- Roswell Park Comprehensive Cancer Center, Roswell Park Cancer Institute, Buffalo, NY
| | - Maciej L Goniewicz
- Roswell Park Comprehensive Cancer Center, Roswell Park Cancer Institute, Buffalo, NY
| | - Brittany N Pine
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - Yang Xia
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - John T Bernert
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - B Rey De Castro
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - John Lee
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - Justin L Brown
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - Stephen Arnstein
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - Diane Choi
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - Erin L Wade
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | | | - Gladys Ervies
- Office of Science, Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD
| | - Angel Cobos
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - Keegan Nicodemus
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - Dana Freeman
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - Stephen S Hecht
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN
| | - Kevin Conway
- Division of Epidemiology, Services and Prevention Research, National Institute of Drug Abuse, Bethesda, MD
| | - Lanqing Wang
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
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20
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Lorenz DR, Misra V, Chettimada S, Uno H, Wang L, Blount BC, De Jesús VR, Gelman BB, Morgello S, Wolinsky SM, Gabuzda D. Acrolein and other toxicant exposures in relation to cardiovascular disease among marijuana and tobacco smokers in a longitudinal cohort of HIV-positive and negative adults. EClinicalMedicine 2021; 31:100697. [PMID: 33554087 PMCID: PMC7846668 DOI: 10.1016/j.eclinm.2020.100697] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Marijuana smoke contains some of the same toxicants present in tobacco smoke. Marijuana smoking is prevalent among HIV+ individuals, but few studies have characterized smoke-related toxicants or associated health outcomes in exclusive marijuana users. METHODS This longitudinal study included 245 participants over age 40 (76% HIV+). 33 plasma and 28 urine metabolites of nicotine, ∆-9-trans-tetrahydrocannabinol, polycyclic aromatic hydrocarbons, and volatile organic compounds were assayed by liquid or gas chromatography/mass spectrometry. Exposures and health outcomes were assessed from surveys and medical records. FINDINGS At baseline, 18% of participants were marijuana-only smokers, 20% tobacco-only smokers, and 24% dual marijuana-tobacco smokers (median (IQR) age 53 (47-60) years, 78% male, 54% white race). Marijuana smoking was independently associated with elevated plasma naphthalenes, 2-hydroxyfluorene sulfate, 4-vinylphenol sulfate, and o-cresol sulfate (p<0·05) and urine acrylonitrile and acrylamide metabolites (p<0·05), but levels were lower than those associated with tobacco smoking. Acrolein metabolite N-Acetyl-S-(3-hydroxypropyl)-l-cysteine (3HPMA) was significantly elevated in plasma and urine in tobacco-only and dual but not marijuana-only smokers, and correlated with nicotine metabolites (p<0·05). The highest tertile of 3HPMA was associated with increased cardiovascular disease diagnoses independent of tobacco smoking, traditional risk factors, and HIV status (odds ratio [95% CI] 3·34 [1·31-8·57]; p = 0·012). INTERPRETATION Smoke-related toxicants, including acrylonitrile and acrylamide metabolites, are detectable in exclusive marijuana smokers, but exposures are lower compared with tobacco or dual smokers. Acrolein exposure is increased by tobacco smoking but not exclusive marijuana smoking in HIV+ and HIV- adults, and contributes to cardiovascular disease in tobacco smokers. FUNDING U.S. NIH.
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Affiliation(s)
- David R. Lorenz
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Center for Life Science 1010, 450 Brookline Avenue, Boston, MA 02215, USA
| | - Vikas Misra
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Center for Life Science 1010, 450 Brookline Avenue, Boston, MA 02215, USA
| | - Sukrutha Chettimada
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Center for Life Science 1010, 450 Brookline Avenue, Boston, MA 02215, USA
| | - Hajime Uno
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Lanqing Wang
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Benjamin C. Blount
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Víctor R. De Jesús
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Benjamin B. Gelman
- Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA
| | - Susan Morgello
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Steven M. Wolinsky
- Division of Infectious Diseases, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Dana Gabuzda
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Center for Life Science 1010, 450 Brookline Avenue, Boston, MA 02215, USA
- Corresponding author.
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21
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Habibagahi A, Siddique S, Harris SA, Alderman N, Aranda-Rodriguez R, Farhat I, Chevrier J, Kubwabo C. Challenges associated with quantification of selected urinary biomarkers of exposure to tobacco products. J Chromatogr B Analyt Technol Biomed Life Sci 2021; 1162:122490. [PMID: 33360416 DOI: 10.1016/j.jchromb.2020.122490] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 12/02/2020] [Accepted: 12/03/2020] [Indexed: 11/28/2022]
Abstract
Tobacco use, of which cigarette smoking is the most common, is a global health concern and is directly linked to over 7 million premature deaths annually. Measurement of the levels of tobacco-related biomarkers in biological matrices reflects human exposure to the chemicals in tobacco products. Nicotine, nicotine metabolites, anatabine, and anabasine are specific to tobacco and nicotine containing products. However, as nicotine and its metabolites are ubiquitous in the environment, background contamination during sample preparation can occur, making the quantification of target analytes challenging. The main purpose of the present study was to examine quality control measures needed in the determination of urinary nicotine, nicotine metabolites, anatabine, and anabasine. Urine samples (n = 75) and NIST standard reference materials SRM 3671 and SRM 3672 were analysed. A one-step extraction procedure using cold acetone was used in this study, which involved no additional clean up. The blank matrices investigated included synthetic urine prepared with HPLC-grade water, synthetic urine prepared with Milli-Q water, and bovine urine. By adopting strategies for minimizing the background levels, very low detection limits for all the target analytes ranging from 0.025 ng/mL for 3-hydroxycotinine to 0.634 ng/mL for nicotine, were achieved. Recoveries ranged between 67% and 118% with RSD values below 20%. Intra-day and inter-day precisions were in the range of 1.1-11.7% and 4.8-25.2%, respectively. The levels of all target analytes were higher in daily smokers than in non-smokers, with the largest difference observed for 3-hydroxycotinine. No difference was observed in the levels of target analytes between individuals who were former smokers, who never smoked or who were exposed to environmental tobacco smoke (ETS), except for total nicotine equivalents (TNE), which was significantly higher in non-smokers exposed to environmental tobacco smoke compared with study participants who never smoked. The results obtained from SRM 3671 and SRM 3672 could inform a potential certification of additional biomarkers of exposure to tobacco products in those standard reference materials.
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Affiliation(s)
- Arezoo Habibagahi
- Exposure and Biomonitoring Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada
| | - Shabana Siddique
- Exposure and Biomonitoring Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada
| | - Shelley A Harris
- Department of Epidemiology & Department of Occupational and Environmental Health, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Nicholas Alderman
- Exposure and Biomonitoring Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada; Present address: Analysis and Air Quality Division, Environment and Climate Change Canada, Ottawa, ON, Canada
| | - Rocio Aranda-Rodriguez
- Exposure and Biomonitoring Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada
| | - Imen Farhat
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Jonathan Chevrier
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Cariton Kubwabo
- Exposure and Biomonitoring Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, Canada.
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22
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Zheng Q, Gartner C, Tscharke BJ, O'Brien JW, Gao J, Ahmed F, Thomas KV, Mueller JF, Thai PK. Long-term trends in tobacco use assessed by wastewater-based epidemiology and its relationship with consumption of nicotine containing products. ENVIRONMENT INTERNATIONAL 2020; 145:106088. [PMID: 32911244 DOI: 10.1016/j.envint.2020.106088] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 08/21/2020] [Accepted: 08/23/2020] [Indexed: 06/11/2023]
Abstract
Measurement of population tobacco use via wastewater-based epidemiology (WBE) provides objective data to evaluate the efficacy of tobacco control strategies. However, current WBE tobacco-use estimates based on nicotine metabolites (cotinine and hydroxycotinine) can be masked by use of non-tobacco nicotine-containing products. To better understand nicotine and tobacco use, we analysed tobacco-specific biomarkers, anabasine and anatabine, as well as nicotine metabolites, cotinine and hydroxycotinine, in wastewater samples collected for 6 weeks per year over 6 years (2012-2017) from an Australian wastewater treatment plant serving approximately 100,000 people. Population-normalised mass loads were used to estimate tobacco and nicotine use trends and were compared with surveys and taxation statistics. Significant annual declines were observed for anabasine, anatabine, cotinine and hydroxycotinine of -3.0%, -2.7%, -2.4%, and -2.1%, respectively. The results corresponded with the annual declining trends reported from surveys (-5%) and taxation statistics (-4%). Significant annual decreases in the ratios of anabasine to cotinine (-1.2%) and anatabine to cotinine (-1.0%) suggested a relative increase in the use of non-tobacco nicotine products at the same time that tobacco use was declining. Monitoring tobacco use with anabasine and anatabine removed influence from nicotine-containing products, showing larger reductions in this Australian city than via nicotine biomarkers, whilst also demonstrating their suitability for monitoring long-term trends.
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Affiliation(s)
- Qiuda Zheng
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Coral Gartner
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia; School of Public Health, The University of Queensland, Herston, Queensland 4006, Australia
| | - Benjamin J Tscharke
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Jake W O'Brien
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Jianfa Gao
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Fahad Ahmed
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Kevin V Thomas
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Jochen F Mueller
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia
| | - Phong K Thai
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, Queensland 4102, Australia.
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23
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Oh J, Park MS, Chun MR, Hwang JH, Lee JY, Jee JH, Lee SY. A Simple and High-throughput LC-MS/MS Method for Simultaneous Measurement of Nicotine, Cotinine, 3-OH cotinine, Nornicotine, and Anabasine in Urine and its Application in the General Korean Population. J Anal Toxicol 2020; 46:25-36. [PMID: 33231618 DOI: 10.1093/jat/bkaa177] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Revised: 10/28/2020] [Accepted: 11/24/2020] [Indexed: 11/14/2022] Open
Abstract
Measuring nicotine metabolites is the most objective method for identifying smoke exposure. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) can measure multiple metabolites and is sensitive enough to detect low concentrations of metabolites. Therefore, we developed a simple and high-throughput method for measuring nicotine, cotinine, trans-3'-hydroxycotinine (3-OH cotinine), nornicotine, and anabasine for population-based studies using LC-MS/MS. Each 30 µl of urine sample was diluted with 90 µL of acetonitrile containing five deuterated internal standards. Chromatographic separation used a C18 column and LC-MS/MS analysis was performed with a multiple reaction monitoring mode. The chromatographic run time for each sample was 6.5 min. The method was validated by evaluating selectivity, interference, limit of detection, lower limit of quantification, precision, accuracy, linearity, extraction recovery, matrix effect, and carry-over according to guidelines. Our methods required a short preparation time (about 20 minutes) while simultaneously measuring five markers for smoking status. No endogenous or exogenous interference was found. Our method showed excellent precision and accuracy: within-run CV 2.9-9.4%, between-run CV 4.8-8.7%, and bias -10.1 to 5.3%. Linear dynamic ranges were 1-10,000 ng/mL for nicotine, nornicotine, and anabasine; 2-5,000 ng/mL for cotinine; and 5-15,000 ng/mL for 3-OH cotinine. Extraction recovery was consistent (87-109%) across concentrations. No significant matrix effect or carry-over was observed. The validated method was applied to 849 urine samples. In samples from the 125 current smokers, nicotine, cotinine, 3-OH cotinine, nornicotine, and anabasine were detected in 97.6%, 99.2%, 98.4%, 96.8%, and 87.2%, respectively. No markers were detected in 93.9% of 609 non-smokers. The overlapping detection of multiple markers made it possible to identify smoking status even in current smokers with low concentration of cotinine. Our LC-MS/MS method using a simple sample preparation technique is sensitive and effective for screening of smoking status in the general population.
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Affiliation(s)
- Jongwon Oh
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Min-Seung Park
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Mi-Ryung Chun
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jung Hye Hwang
- Health Promotion Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jin-Young Lee
- Health Promotion Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae Hwan Jee
- Health Promotion Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Soo-Youn Lee
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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24
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Smith DM, O'connor RJ, Wei B, Travers M, Hyland A, Goniewicz ML. Nicotine and Toxicant Exposure Among Concurrent Users (Co-Users) of Tobacco and Cannabis. Nicotine Tob Res 2020; 22:1354-1363. [PMID: 31388679 DOI: 10.1093/ntr/ntz122] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 07/18/2019] [Indexed: 02/01/2023]
Abstract
BACKGROUND Smoking cannabis may potentially increase exposure to numerous toxic chemicals that are commonly associated with tobacco use. There is a paucity of data related to toxicant exposures among concurrent users of tobacco and cannabis (co-users). METHODS Data are from the Population Assessment of Tobacco and Health Study Wave 1 Biomarker Restricted-Use Files. Analyses focused on adults who provided urine samples (N = 5859). Urine samples were analyzed for biomarkers of exposure to nicotine, tobacco-specific nitrosamines, polycyclic aromatic hydrocarbons, and volatile organic compounds. Using weighted linear regression, we compared adjusted geometric mean concentrations of 15 biomarkers between user groups of various tobacco product types according to their self-reported past 30-day cannabis use. RESULTS Past 30-day cannabis use was similar across various types of tobacco product use subgroups (range: 13%-23%) and significantly more common compared to non-tobacco users (1.0%; p < .001). Across all groups of tobacco users, those who co-used cannabis exhibited significantly higher concentrations of the biomarker of exposure to acrylonitrile (CYMA) compared to non-cannabis users (by 39%-464%). Tobacco-cannabis co-users also showed significantly elevated levels of the biomarker of exposure to acrylamide (AAMA) compared to exclusive tobacco users, and significantly higher exposure to many polycyclic aromatic hydrocarbons (including fluorene and pyrene). CONCLUSIONS Co-users exhibited higher concentrations for biomarkers of exposure to many combustion byproducts, compared to exclusive tobacco users. More robust measurements of cannabis use can address potential confounding in assessments of exposures to tobacco-related constituents, and potential health effects resulting from co-use. IMPLICATIONS With disproportionately greater rates of cannabis use occurring among tobacco users, it is critical to consider how concurrent cannabis use may influence health-related outcomes among smokers. Our findings suggest potential additive toxicant exposures among co-users of tobacco and cannabis. Lack of consideration and measurement of cannabis use in assessing tobacco-related exposures may confound estimates thought to be attributable to tobacco, particularly for non-specific biomarkers. Assessing tobacco and cannabis use in tandem will allow for more precise measurement of outcomes related to one or both substances, and can provide additional information on potential health effects related to co-use.
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Affiliation(s)
- Danielle M Smith
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Richard J O'connor
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Binnian Wei
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Mark Travers
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Andrew Hyland
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY
| | - Maciej L Goniewicz
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY
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25
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Wei B, O’Connor RJ, Goniewicz ML, Hyland A. Emerging Chemicals of Health Concern in Electronic Nicotine Delivery Systems. Chem Res Toxicol 2020; 33:2637-2646. [PMID: 32880169 PMCID: PMC7582622 DOI: 10.1021/acs.chemrestox.0c00281] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Indexed: 11/28/2022]
Abstract
Electronic nicotine delivery systems (ENDS), by virtue of their highly engineered construction (plastics, glass, e-liquids), may contain a number of emerging chemicals of concern (ECCs), including phthalates, phenolic compounds, and flame retardants. Current knowledge regarding the safety of ENDS may underestimate the health risks from ECCs. In this study, we examined the types and levels of those three groups of chemicals in the components and parts of ENDS devices, including refill liquids, tanks/cartridges, atomizers, drip tips/mouthpieces, and sealing materials. Our results suggest that phthalates were the most prevalent chemicals in all tested samples, followed by parabens and organophosphate flame retardants (OPFRs). Particularly, all measured chemicals had significantly higher detection rates in cartridges/tanks, drip tips/mouthpieces, and sealing materials in contrast to e-liquids and coil samples. Among all those three types of ENDS components, phthalates generally had the highest concentrations (0.279-3790 ng/unit) in the drip tip/mouthpiece samples, followed by the sealing materials (0.380-508.8 ng/unit) and the empty tank/cartridge samples (up to 761.7 ng/unit). For parabens, highest concentrations were observed in drip tip/mouthpiece samples (1.152-130.1 ng/unit), followed by sealing materials (0.220-30.08 ng/unit) and the tank/cartridge samples (1.794-34.24 ng/unit). For OPFRs, tris(1,3-dichloro-2-propyl) phosphate had the highest concentrations (39.40-774.1 ng/unit) in all component samples. High concentrations (20.25-260.4 ng/unit) were also observed for several OPFRs in sealing materials and drip tip/mouthpiece samples. These findings will contribute to addressing the information gaps pertinent to the presence of ECCs in ENDS and will warrant further studies for understanding the potential negative health effects and to what extent those chemicals may cause potential negative health effects when using the ENDS. The findings will also contribute to developing evidence-based standards for the regulatory control of the types and levels of ECCs in ENDS products.
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Affiliation(s)
- Binnian Wei
- Division
of Cancer Prevention and Population Sciences, Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, New York 14263, United States
| | - Richard J. O’Connor
- Division
of Cancer Prevention and Population Sciences, Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, New York 14263, United States
| | - Maciej Lukasz Goniewicz
- Division
of Cancer Prevention and Population Sciences, Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, New York 14263, United States
| | - Andrew Hyland
- Division
of Cancer Prevention and Population Sciences, Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, New York 14263, United States
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26
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Smith DM, Shahab L, Blount BC, Gawron M, Kosminder L, Sobczak A, Xia B, Sosnoff CS, Goniewicz ML. Differences in Exposure to Nicotine, Tobacco-Specific Nitrosamines, and Volatile Organic Compounds among Electronic Cigarette Users, Tobacco Smokers, and Dual Users from Three Countries. TOXICS 2020; 8:E88. [PMID: 33066428 PMCID: PMC7712026 DOI: 10.3390/toxics8040088] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 10/07/2020] [Accepted: 10/12/2020] [Indexed: 12/27/2022]
Abstract
Country-level differences in nicotine vaping products used and biomarkers of exposure among long-term e-cigarette users and dual users remain understudied. This cross-sectional study was conducted in 2014 in the United States (n = 166), United Kingdom (n = 129), and Poland (n = 161). We compared patterns of tobacco product use and nicotine and toxicant exposure among cigarette-only smokers (n = 127); e-cigarette-only users (n = 124); dual users of tobacco cigarettes and e-cigarettes (n = 95); and non-users (control group, n = 110) across three countries using mixed-effects linear regression. Compared with cigarette smokers, e-cigarette-only users had lower levels of toxicant biomarkers, but higher levels of nicotine biomarkers. Dual users had higher levels of toxicant biomarkers than e-cigarette-only users but similar levels to cigarette-only smokers. E-cigarette users in Poland, who overwhelmingly used refillable tank devices, exhibited greater levels of nicotine, and toxicant biomarkers relative to e-cigarette users in US/UK. Despite smoking fewer cigarettes, dual users from Poland exhibited similar levels of nicotine biomarkers compared with UK dual users, but higher than US dual users. Country-level differences in e-cigarette devices used and smoking behaviors (e.g., intensity) may contribute to differences in biomarker levels among users of the same products residing in different countries.
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Affiliation(s)
- Danielle M. Smith
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, NY 14263, USA;
| | - Lion Shahab
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK;
| | - Benjamin C. Blount
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (B.C.B.); (B.X.); (C.S.S.)
| | - Michal Gawron
- Department of General and Inorganic Chemistry, Katowice Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, Jagiellonska 4, 41-200 Sosnowiec, Poland; (M.G.); (L.K.); (A.S.)
| | - Leon Kosminder
- Department of General and Inorganic Chemistry, Katowice Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, Jagiellonska 4, 41-200 Sosnowiec, Poland; (M.G.); (L.K.); (A.S.)
| | - Andrzej Sobczak
- Department of General and Inorganic Chemistry, Katowice Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, Jagiellonska 4, 41-200 Sosnowiec, Poland; (M.G.); (L.K.); (A.S.)
| | - Baoyun Xia
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (B.C.B.); (B.X.); (C.S.S.)
| | - Connie S. Sosnoff
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (B.C.B.); (B.X.); (C.S.S.)
| | - Maciej L. Goniewicz
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, NY 14263, USA;
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27
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Urinary Acrylonitrile Metabolite Concentrations Before and after Smoked, Vaporized, and Oral Cannabis in Frequent and Occasional Cannabis Users. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17186438. [PMID: 32899602 PMCID: PMC7558117 DOI: 10.3390/ijerph17186438] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 08/31/2020] [Accepted: 09/01/2020] [Indexed: 12/25/2022]
Abstract
Cannabis use through smoking, vaping, or ingestion is increasing, but only limited studies have investigated the resulting exposure to harmful chemicals. N-acetyl-S-(2-cyanoethyl)-L-cysteine (2CYEMA), a urinary metabolite of acrylonitrile, a possible carcinogen, is elevated in the urine of past-30-day cannabis users compared to non-cannabis users. Five frequent and five occasional cannabis users smoked and vaped cannabis on separate days; one also consumed cannabis orally. Urine samples were collected before and up to 72 h post dose and urinary 2CYEMA was quantified. We compared 2CYEMA pre-exposure levels, maximum concentration, time at maximum concentration for occasional versus frequent users following different exposure routes, and measured half-life of elimination. Smoking cannabis joints rapidly (within 10 min) increased 2CYEMA in the urine of occasional cannabis users, but not in frequent users. Urine 2CYEMA did not consistently increase following vaping or ingestion in either study group. Cigarette smokers had high pre-exposure concentrations of 2CYEMA. Following cannabis smoking, the half-lives of 2CYEMA ranged from 2.5 to 9.0 h. 2CYEMA is an effective biomarker of cannabis smoke exposure, including smoke from a single cannabis joint, however, not from vaping or when consumed orally. When using 2CYEMA to evaluate exposure in cannabis users, investigators should collect the details about tobacco smoking, route of consumption, and time since last use as possible covariates.
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28
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Travers MJ, Rivard C, Sharma E, Retzky S, Yucesoy B, Goniewicz ML, Stanton CA, Chen J, Callahan-Lyon P, Kimmel HL, Xia B, Wang Y, Sosnoff CS, De Jesús VR, Blount BC, Hecht SS, Hyland A. Biomarkers of Exposure among USA Adult Hookah Users: Results from Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study (2013-2014). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E6403. [PMID: 32887496 PMCID: PMC7504577 DOI: 10.3390/ijerph17176403] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 08/28/2020] [Accepted: 08/31/2020] [Indexed: 12/26/2022]
Abstract
Hookah smoking has become common in the USA, especially among young adults. This study measured biomarkers of exposure to known tobacco product toxicants in a population-based sample of exclusive, established hookah users. Urinary biomarker data from 1753 adults in Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study were used to compare geometric mean concentrations of biomarkers of exposure in exclusive, established past 30-day hookah users to never users of tobacco. Geometric mean ratios were calculated comparing hookah user groups with never users adjusting for age, sex, race/ethnicity, education, past 30-day marijuana use, secondhand smoke exposure and creatinine. Past 30-day hookah users (n = 98) had 10.6 times the urinary cotinine level of never tobacco users. Compared to never tobacco users, past 30-day hookah users had 2.3 times the level of the carcinogen 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL), a metabolite of the tobacco-specific nitrosamine (TSNA) 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), 1.3 times higher polycyclic aromatic hydrocarbons (PAHs) 3-hydroxyfluorene and 1-hydroxypyrene, 1.8 times higher levels of acrylonitrile, 1.3 times higher levels of acrylamide, and 1.2 times higher levels of acrolein exposure. These data indicate that hookah use is a significant source of exposure to nicotine, carcinogens, and respiratory toxicants.
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Affiliation(s)
- Mark J. Travers
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14203, USA; (M.J.T.); (M.L.G.); (A.H.)
| | - Cheryl Rivard
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14203, USA; (M.J.T.); (M.L.G.); (A.H.)
| | - Eva Sharma
- Westat, Rockville, MD 20850, USA; (E.S.); (C.A.S.)
| | - Sandra Retzky
- Food and Drug Administration, Center for Tobacco Products, Calverton, MD 20705, USA; (S.R.); (B.Y.); (J.C.); (P.C.-L.)
| | - Berran Yucesoy
- Food and Drug Administration, Center for Tobacco Products, Calverton, MD 20705, USA; (S.R.); (B.Y.); (J.C.); (P.C.-L.)
| | - Maciej L. Goniewicz
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14203, USA; (M.J.T.); (M.L.G.); (A.H.)
| | | | - Jiping Chen
- Food and Drug Administration, Center for Tobacco Products, Calverton, MD 20705, USA; (S.R.); (B.Y.); (J.C.); (P.C.-L.)
| | - Priscilla Callahan-Lyon
- Food and Drug Administration, Center for Tobacco Products, Calverton, MD 20705, USA; (S.R.); (B.Y.); (J.C.); (P.C.-L.)
| | - Heather L. Kimmel
- National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD 20892, USA;
| | - Baoyun Xia
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA; (B.X.); (Y.W.); (C.S.S.); (V.R.D.J.); (B.C.B.)
| | - Yuesong Wang
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA; (B.X.); (Y.W.); (C.S.S.); (V.R.D.J.); (B.C.B.)
| | - Connie S. Sosnoff
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA; (B.X.); (Y.W.); (C.S.S.); (V.R.D.J.); (B.C.B.)
| | - Víctor R. De Jesús
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA; (B.X.); (Y.W.); (C.S.S.); (V.R.D.J.); (B.C.B.)
| | - Benjamin C. Blount
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA; (B.X.); (Y.W.); (C.S.S.); (V.R.D.J.); (B.C.B.)
| | - Stephen S. Hecht
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA;
| | - Andrew Hyland
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14203, USA; (M.J.T.); (M.L.G.); (A.H.)
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29
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Smith TT, Koopmeiners JS, White CM, Denlinger-Apte RL, Pacek LR, De Jesús VR, Wang L, Watson C, Blount BC, Hatsukami DK, Benowitz NL, Donny EC, Carpenter MJ. The Impact of Exclusive Use of Very Low Nicotine Cigarettes on Compensatory Smoking: An Inpatient Crossover Clinical Trial. Cancer Epidemiol Biomarkers Prev 2020; 29:880-886. [PMID: 32102910 PMCID: PMC7125007 DOI: 10.1158/1055-9965.epi-19-0963] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 12/09/2019] [Accepted: 01/27/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The FDA is considering a mandated reduction in the nicotine content of cigarettes. Clinical trials have been limited by non-study cigarette use (noncompliance), which could mask compensation. The goal of this study was to assess whether compensation occurs when smokers provided with very low nicotine cigarettes cannot access normal nicotine cigarettes. METHODS In a within-subjects, crossover design, current smokers (n = 16) were confined to a hotel for two 4-night hotel stays during which they were only able to access the research cigarettes provided. The hotel stays offered normal nicotine cigarettes or very low nicotine content (VLNC) cigarettes, in an unblinded design, available for "purchase" via a study bank. RESULTS In the context of complete compliance with the study cigarettes (n = 16), there was not a significant increase during the VLNC condition for cigarettes smoked per day, expired carbon monoxide, or N-acetyl-S-(cyanoethyl)-l-cysteine (cyanoethyl-MA, metabolite of acrylonitrile). There was a significant nicotine × time interaction on urine N-acetyl-S-(3-hydroxypropyl)-l-cysteine (hydroxypropyl-MA, metabolite of acrolein), driven by an increase in the VLNC condition during the first 24 hours. By the end of the VLNC condition, there was no evidence of compensation across any measure of smoking or smoke exposure. CONCLUSIONS Among current smokers who exclusively used VLNC cigarettes for 4 days, there was no significant compensatory smoking behavior. IMPACT These data, combined with the larger body of work, suggest that a mandated reduction in nicotine content is unlikely to result in an increase in smoking behavior to obtain more nicotine.
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Affiliation(s)
- Tracy T Smith
- Department of Psychiatry and Behavioral Sciences, and Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina.
| | - Joseph S Koopmeiners
- Division of Biostatistics, School of Public Health, and Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
| | - Cassidy M White
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Rachel L Denlinger-Apte
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Lauren R Pacek
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Víctor R De Jesús
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Lanqing Wang
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Clifford Watson
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Benjamin C Blount
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Dorothy K Hatsukami
- Department of Psychiatry and Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
| | - Neal L Benowitz
- Departments of Medicine and Bioengineering & Therapeutic Sciences, University of California, San Francisco, San Francisco, California
| | - Eric C Donny
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Matthew J Carpenter
- Department of Psychiatry and Behavioral Sciences, and Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina
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30
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Etemadi A, Poustchi H, Calafat AM, Blount BC, De Jesús VR, Wang L, Pourshams A, Shakeri R, Inoue-Choi M, Shiels MS, Roshandel G, Murphy G, Sosnoff CS, Bhandari D, Feng J, Xia B, Wang Y, Meng L, Kamangar F, Brennan P, Boffetta P, Dawsey SM, Abnet CC, Malekzadeh R, Freedman ND. Opiate and Tobacco Use and Exposure to Carcinogens and Toxicants in the Golestan Cohort Study. Cancer Epidemiol Biomarkers Prev 2020; 29:650-658. [PMID: 31915141 PMCID: PMC7839071 DOI: 10.1158/1055-9965.epi-19-1212] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 11/19/2019] [Accepted: 12/30/2019] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND There is little information on human exposure to carcinogens and other toxicants related to opiate use, alone or in combination with tobacco. METHODS Among male participants of the Golestan Cohort Study in Northeast Iran, we studied 28 never users of either opiates or tobacco, 33 exclusive cigarette smokers, 23 exclusive users of smoked opiates, and 30 opiate users who also smoked cigarettes (dual users; 21 smoked opiates and 9 ingested them). We quantified urinary concentrations of 39 exposure biomarkers, including tobacco alkaloids, tobacco-specific nitrosamines, polycyclic aromatic hydrocarbons (PAH), and volatile organic compounds (VOC), and used decomposition to parse out the share of the biomarker concentrations explained by opiate use and nicotine dose. RESULTS Dual users had the highest concentrations of all biomarkers, but exclusive cigarette smokers and exclusive opiate users had substantially higher concentrations of PAH and VOC biomarkers than never users of either product. Decomposition analysis showed that opiate use contributed a larger part of the PAH concentrations than nicotine dose, and the sum of 2- and 3-hydroxyphenanthrene (∑2,3-phe) resulted almost completely from opiate use. Concentrations of most VOC biomarkers were explained by both nicotine dose and opiate use. Two acrylamide metabolites, a 1,3-butadiene metabolite and a dimethylformamide metabolite, were more strongly explained by opiate use. Acrylamide metabolites and ∑2,3-phe were significantly higher in opiate smokers than opiate eaters; other biomarkers did not vary by the route of opiate intake. CONCLUSIONS Both cigarette smokers and opiate users (by smoking or ingestion) were exposed to many toxicants and carcinogens. IMPACT This high exposure, particularly among dual opiate and cigarette users, can have a substantial global public health impact.
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Affiliation(s)
- Arash Etemadi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Poustchi
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Liver and Pancreaticobilliary Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Antonia M Calafat
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Benjamin C Blount
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Victor R De Jesús
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Lanqing Wang
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Akram Pourshams
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ramin Shakeri
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Maki Inoue-Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Meredith S Shiels
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Gholamreza Roshandel
- Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran
| | - Gwen Murphy
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Connie S Sosnoff
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Deepak Bhandari
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jun Feng
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Baoyun Xia
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Yuesong Wang
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Lei Meng
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Farin Kamangar
- Department of Biology, School of Computer, Mathematical, and Natural Sciences, Morgan State University, Baltimore, Maryland
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - Paolo Boffetta
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Sanford M Dawsey
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Christian C Abnet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Reza Malekzadeh
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
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31
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Cheng YC, Reyes-Guzman CM, Christensen CH, Rostron BL, Edwards KC, Wang L, Feng J, Jarrett JM, Ward CD, Xia B, Kimmel HL, Conway K, Leggett C, Taylor K, Lawrence C, Niaura R, Travers MJ, Hyland A, Hecht SS, Hatsukami DK, Goniewicz ML, Borek N, Blount BC, van Bemmel DM. Biomarkers of Exposure among Adult Smokeless Tobacco Users in the Population Assessment of Tobacco and Health Study (Wave 1, 2013-2014). Cancer Epidemiol Biomarkers Prev 2020; 29:659-667. [PMID: 31988072 PMCID: PMC7079166 DOI: 10.1158/1055-9965.epi-19-0766] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 11/05/2019] [Accepted: 01/14/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Monitoring population-level toxicant exposures from smokeless tobacco (SLT) use is important for assessing population health risks due to product use. In this study, we assessed tobacco biomarkers of exposure (BOE) among SLT users from the Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health (PATH) Study. METHODS Urinary biospecimens were collected from adults ages 18 and older. Biomarkers of nicotine, tobacco-specific nitrosamines (TSNA), polycyclic aromatic hydrocarbons (PAH), volatile organic compounds (VOC), metals, and inorganic arsenic were analyzed and reported among exclusive current established SLT users in comparison with exclusive current established cigarette smokers, dual SLT and cigarette users, and never tobacco users. RESULTS In general, SLT users (n = 448) have significantly higher concentrations of BOE to nicotine, TSNAs, and PAHs compared with never tobacco users; significant dose-response relationships between frequency of SLT use and biomarker concentrations were also reported among exclusive SLT daily users. Exclusive SLT daily users have higher geometric mean concentrations of total nicotine equivalent-2 (TNE2) and TSNAs than exclusive cigarette daily smokers. In contrast, geometric mean concentrations of PAHs and VOCs were substantially lower among exclusive SLT daily users than exclusive cigarette daily smokers. CONCLUSIONS Our study produced a comprehensive assessment of SLT product use and 52 biomarkers of tobacco exposure. Compared with cigarette smokers, SLT users experience greater concentrations of some tobacco toxicants, including nicotine and TSNAs. IMPACT Our data add information on the risk assessment of exposure to SLT-related toxicants. High levels of harmful constituents in SLT remain a health concern.
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Affiliation(s)
- Yu-Ching Cheng
- Center for Tobacco Products, Food and Drug Administration, Beltsville, Maryland.
| | - Carolyn M Reyes-Guzman
- Center for Tobacco Products, Food and Drug Administration, Beltsville, Maryland
- National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Carol H Christensen
- Center for Tobacco Products, Food and Drug Administration, Beltsville, Maryland
| | - Brian L Rostron
- Center for Tobacco Products, Food and Drug Administration, Beltsville, Maryland
| | | | - Lanqing Wang
- US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jun Feng
- US Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Cynthia D Ward
- US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Baoyun Xia
- US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Heather L Kimmel
- National Institute on Drug Abuse, National Institutes of Health, Rockville, Maryland
| | - Kevin Conway
- National Institute on Drug Abuse, National Institutes of Health, Rockville, Maryland
| | - Carmine Leggett
- Center for Tobacco Products, Food and Drug Administration, Beltsville, Maryland
| | | | | | - Ray Niaura
- New York University College of Global Public Health, New York, New York
| | | | | | - Stephen S Hecht
- University of Minnesota, Masonic Cancer Center, Minneapolis, Minnesota
| | | | | | - Nicolette Borek
- Center for Tobacco Products, Food and Drug Administration, Beltsville, Maryland
| | | | - Dana M van Bemmel
- Center for Tobacco Products, Food and Drug Administration, Beltsville, Maryland
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32
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Achilihu H, Feng J, Wang L, Bernert JT. Tobacco Use Classification by Inexpensive Urinary Cotinine Immunoassay Test Strips. J Anal Toxicol 2019; 43:149-153. [PMID: 30395272 DOI: 10.1093/jat/bky075] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 07/30/2018] [Accepted: 09/11/2018] [Indexed: 01/10/2023] Open
Abstract
Urinary cotinine is one of the most commonly measured biomarkers reflecting recent exposure to nicotine. In some cases a simple qualitative dichotomization of smokers and non-smokers is all that is required. NicAlert® test strips have been evaluated for this purpose, but other recently introduced, inexpensive single-line test strips have not. In this study we evaluated two such strips with nominal cutoffs of 200 and 10 ng/mL. A total of 800 urine samples with known cotinine concentrations determined by an LC-MS-MS method were examined, including 400 urine samples ranging from 0.23 to more than 24,000 ng/mL by the 200 ng/mL strip, and 400 samples with concentrations <200 ng/mL by the 10 ng/mL cutoff strip. Both test strips performed well in these evaluations. Classification relative to LC-MS-MS by the 200 ng/mL strips had a sensitivity of 99.5% and specificity of 92%, with 95.8% accuracy. The 10 ng/mL strips had a sensitivity of 98.7% and specificity of 90.1%, with 93.3% accuracy. The positive predictive value for the 200 ng/mL strips was 92.6% and the negative predictive value was 99.5%. For the 10 ng/mL strips, the corresponding values were 85.4 and 99.2%, respectively. The prevalence of positive samples was 50% in the 200 ng/mL group, and 37% in the 10 ng/mL set. Each strip was read by two readers with an overall agreement of >98%. Our results suggest that these simple and inexpensive lateral flow immunoassay test strips can provide useful qualitative estimates of nicotine exposures for appropriate applications within the inherent limitations of sensitivity and precision of the immunoassay test strip format.
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Affiliation(s)
- Honest Achilihu
- Tobacco Exposure Biomarkers Laboratory, Tobacco and Volatile Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Chamblee, Bldg 102, Atlanta, GA, USA
| | - June Feng
- Tobacco Exposure Biomarkers Laboratory, Tobacco and Volatile Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Chamblee, Bldg 102, Atlanta, GA, USA
| | - Lanqing Wang
- Tobacco Exposure Biomarkers Laboratory, Tobacco and Volatile Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Chamblee, Bldg 102, Atlanta, GA, USA
| | - John T Bernert
- Tobacco Exposure Biomarkers Laboratory, Tobacco and Volatile Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Chamblee, Bldg 102, Atlanta, GA, USA
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Wei B, Goniewicz M, O’Connor RJ. Concurrent Quantification of Emerging Chemicals of Health Concern in e-Cigarette Liquids by High-Performance Liquid Chromatography-Tandem Mass Spectrometry. ACS OMEGA 2019; 4:15364-15372. [PMID: 31572835 PMCID: PMC6761617 DOI: 10.1021/acsomega.9b01255] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 07/24/2019] [Indexed: 05/30/2023]
Abstract
Emerging chemicals of concern (ECCs), including phthalate plasticizers, flame retardants, and phenolic compounds, are likely present in electronic nicotine delivery system (ENDS) replacement solutions (e-liquids) which are often packaged, stored in, and/or can contact with, plastic, glass, and metal materials. Developing and validating an efficient analytical method for concurrent quantification of ECCs in e-liquids are thus needed to inform evidence-based safety evaluation of ENDS products. In this study, we developed and validated a "dilute-and-shoot" method using high-performance liquid chromatography coupled with tandem mass spectrometry to simultaneously measure organophosphate flame retardants (OPFRs), phthalate plasticizers, and tetrabromobisphenol A (TBBPA) in e-liquids. We analyzed samples in positive electrospray ionization mode (ESI+) for OPFRs and phthalates and negative ESI- for TBBPA. The method has a total runtime of 10 min. The optimized procedure was able to deliver broad dynamic linearity ranges with coefficients of determination (R 2) above 0.995, limits of detection ranging from 0.020 to 10 ng/mL, average accuracy within ±15%, and imprecision ≤ 15.0% for all analytes. To our knowledge, this is the first multianalysis method for measuring ECCs in e-liquid samples, and the validation results show that it is sensitive, accurate, precise, and efficient.
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Affiliation(s)
- Binnian Wei
- E-mail: , . Phone: 716-845-1751. Fax: 716-845-3562
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Xiong Y, Shapaval V, Kohler A, From PJ. A Laboratory-Built Fully Automated Ultrasonication Robot for Filamentous Fungi Homogenization. SLAS Technol 2019; 24:583-595. [DOI: 10.1177/2472630319861361] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
This article presents the design and development of a new hands-free ultrasonication robot for filamentous fungi homogenization. The platform was constructed with a modified inexpensive 3D printer, equipped with an upward-facing camera, a custom-designed wash station, and an add-on sonicator. While machine vision accomplished sample well screening based on image subtraction and color thresholding, it also determined the level of fungi homogeneity using color variance. Model fitting reveals that the process of filamentous fungi homogenization using ultrasonication included a period of significant exponential decay. Therefore, this procedure allowed for the rapid homogenization of the fungal samples during the initial stages of ultrasonication treatment followed by a deceleration in homogenization. Furthermore, a factorial experiment showed that higher sonicator power and temperature accelerated the homogenization process, while the cultivation time exhibited no effect on homogenization. In addition, the model parameters were varied between the wells, even when subjected to the same settings, meaning that the system cannot use the same asymptote of the homogeneity level to establish the termination time for different wells. Therefore, we used the standard deviation of the four most recent homogeneity level values to determine the termination time. This method was used for feedback control, forming a fully automated robot that did not require manual intervention during the experiment. A validation test on filamentous fungi demonstrated that the system was able to provide target quality of samples efficiently.
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Affiliation(s)
- Ya Xiong
- Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway
| | - Volha Shapaval
- Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway
| | - Achim Kohler
- Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway
| | - Pål Johan From
- Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway
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Kaplan B, Sussan T, Rule A, Moon K, Grau-Perez M, Olmedo P, Chen R, Carkoglu A, Levshin V, Wang L, Watson C, Blount B, Calafat AM, Jarrett J, Caldwell K, Wang Y, Breysse P, Strickland P, Cohen J, Biswal S, Navas-Acien A. Waterpipe tobacco smoke: Characterization of toxicants and exposure biomarkers in a cross-sectional study of waterpipe employees. ENVIRONMENT INTERNATIONAL 2019; 127:495-502. [PMID: 30981020 PMCID: PMC6513716 DOI: 10.1016/j.envint.2019.03.074] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 03/25/2019] [Accepted: 03/29/2019] [Indexed: 05/12/2023]
Abstract
INTRODUCTION Few studies have comprehensively characterized toxic chemicals related to waterpipe use and secondhand waterpipe exposure. This cross-sectional study investigated biomarkers of toxicants associated with waterpipe use and passive waterpipe exposure among employees at waterpipe venues. METHOD We collected urine specimens from employees in waterpipe venues from Istanbul, Turkey and Moscow, Russia, and identified waterpipe and cigarette smoking status based on self-report. The final sample included 110 employees. Biomarkers of exposure to sixty chemicals (metals, volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs), nicotine, and heterocyclic aromatic amines (HCAAs)) were quantified in the participants' urine. RESULTS Participants who reported using waterpipe had higher urinary manganese (geometric mean ratio (GMR): 2.42, 95% confidence interval (CI): 1.16, 5.07) than never/former waterpipe or cigarette smokers. Being exposed to more hours of secondhand smoke from waterpipes was associated with higher concentrations of cobalt (GMR: 1.38, 95% CI: 1.10, 1.75). Participants involved in lighting waterpipes had higher urinary cobalt (GMR: 1.43, 95% CI: 1.10, 1.86), cesium (GMR: 1.21, 95% CI: 1.00, 1.48), molybdenum (GMR: 1.45, 95% CI: 1.08, 1.93), 1-hydroxypyrene (GMR: 1.36, 95% CI: 1.03, 1.80), and several VOC metabolites. CONCLUSION Waterpipe tobacco users and nonsmoking employees of waterpipe venues had higher urinary concentrations of several toxic metals including manganese and cobalt as well as of VOCs, in a distinct signature compared to cigarette smoke. Employees involved in lighting waterpipes may have higher exposure to multiple toxic chemicals compared to other employees.
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Affiliation(s)
- Bekir Kaplan
- Institute for Global Tobacco Control, Johns Hopkins Bloomberg School of Public Health, United States of America.
| | - Thomas Sussan
- U.S. Army Public Health Center, Toxicology Directorate, United States of America
| | - Ana Rule
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, United States of America
| | - Katherine Moon
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, United States of America
| | - Maria Grau-Perez
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, United States of America; Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, United States of America
| | - Pablo Olmedo
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, United States of America; Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, United States of America; Department of Legal Medicine and Toxicology, School of Medicine, University of Granada, Granada, Spain
| | - Rui Chen
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, United States of America
| | - Asli Carkoglu
- Department of Psychology, Kadir Has University, Istanbul, Turkey
| | | | - Lanqing Wang
- National Center for Environmental Health, Centers for Disease Control and Prevention, United States of America
| | - Clifford Watson
- National Center for Environmental Health, Centers for Disease Control and Prevention, United States of America
| | - Benjamin Blount
- National Center for Environmental Health, Centers for Disease Control and Prevention, United States of America
| | - Antonia M Calafat
- National Center for Environmental Health, Centers for Disease Control and Prevention, United States of America
| | - Jeffery Jarrett
- National Center for Environmental Health, Centers for Disease Control and Prevention, United States of America
| | - Kathleen Caldwell
- National Center for Environmental Health, Centers for Disease Control and Prevention, United States of America
| | - Yuesong Wang
- National Center for Environmental Health, Centers for Disease Control and Prevention, United States of America
| | - Pattrick Breysse
- National Center for Environmental Health, Centers for Disease Control and Prevention, United States of America
| | - Paul Strickland
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, United States of America
| | - Joanna Cohen
- Institute for Global Tobacco Control, Johns Hopkins Bloomberg School of Public Health, United States of America
| | - Shyam Biswal
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, United States of America
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, United States of America
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Goniewicz ML, Smith DM, Edwards KC, Blount BC, Caldwell KL, Feng J, Wang L, Christensen C, Ambrose B, Borek N, van Bemmel D, Konkel K, Erives G, Stanton CA, Lambert E, Kimmel HL, Hatsukami D, Hecht SS, Niaura RS, Travers M, Lawrence C, Hyland AJ. Comparison of Nicotine and Toxicant Exposure in Users of Electronic Cigarettes and Combustible Cigarettes. JAMA Netw Open 2018; 1:e185937. [PMID: 30646298 PMCID: PMC6324349 DOI: 10.1001/jamanetworkopen.2018.5937] [Citation(s) in RCA: 343] [Impact Index Per Article: 57.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
IMPORTANCE Use of electronic cigarettes (e-cigarettes) is increasing. Measures of exposure to known tobacco-related toxicants among e-cigarette users will inform potential health risks to individual product users. OBJECTIVES To estimate concentrations of tobacco-related toxicants among e-cigarette users and compare these biomarker concentrations with those observed in combustible cigarette users, dual users, and never tobacco users. DESIGN, SETTING, AND PARTICIPANTS A population-based, longitudinal cohort study was conducted in the United States in 2013-2014. Cross-sectional analysis was performed between November 4, 2016, and October 5, 2017, of biomarkers of exposure to tobacco-related toxicants collected by the Population Assessment of Tobacco and Health Study. Participants included adults who provided a urine sample and data on tobacco use (N = 5105). EXPOSURES The primary exposure was tobacco use, including current exclusive e-cigarette users (n = 247), current exclusive cigarette smokers (n = 2411), and users of both products (dual users) (n = 792) compared with never tobacco users (n = 1655). MAIN OUTCOMES AND MEASURES Geometric mean concentrations of 50 individual biomarkers from 5 major classes of tobacco product constituents were measured: nicotine, tobacco-specific nitrosamines (TSNAs), metals, polycyclic aromatic hydrocarbons (PAHs), and volatile organic compounds (VOCs). RESULTS Of the 5105 participants, most were aged 35 to 54 years (weighted percentage, 38%; 95% CI, 35%-40%), women (60%; 95% CI, 59%-62%), and non-Hispanic white (61%; 95% CI, 58%-64%). Compared with exclusive e-cigarette users, never users had 19% to 81% significantly lower concentrations of biomarkers of exposure to nicotine, TSNAs, some metals (eg, cadmium and lead), and some VOCs (including acrylonitrile). Exclusive e-cigarette users showed 10% to 98% significantly lower concentrations of biomarkers of exposure, including TSNAs, PAHs, most VOCs, and nicotine, compared with exclusive cigarette smokers; concentrations were comparable for metals and 3 VOCs. Exclusive cigarette users showed 10% to 36% lower concentrations of several biomarkers than dual users. Frequency of cigarette use among dual users was positively correlated with nicotine and toxicant exposure. CONCLUSIONS AND RELEVANCE Exclusive use of e-cigarettes appears to result in measurable exposure to known tobacco-related toxicants, generally at lower levels than cigarette smoking. Toxicant exposure is greatest among dual users, and frequency of combustible cigarette use is positively correlated with tobacco toxicant concentration. These findings provide evidence that using combusted tobacco cigarettes alone or in combination with e-cigarettes is associated with higher concentrations of potentially harmful tobacco constituents in comparison with using e-cigarettes alone.
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Affiliation(s)
- Maciej L. Goniewicz
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Danielle M. Smith
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | - Benjamin C. Blount
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Kathleen L. Caldwell
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jun Feng
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Lanqing Wang
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Carol Christensen
- Office of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, Maryland
| | - Bridget Ambrose
- Office of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, Maryland
| | - Nicolette Borek
- Office of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, Maryland
| | - Dana van Bemmel
- Office of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, Maryland
| | - Karen Konkel
- Office of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, Maryland
| | - Gladys Erives
- Office of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, Maryland
| | | | | | | | | | | | - Raymond S. Niaura
- The Schroeder Institute for Tobacco Research and Policy Studies, Truth Initiative, Washington, DC
| | - Mark Travers
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | - Andrew J. Hyland
- Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, New York
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Zhang X, Wang R, Zhang L, Ruan Y, Wang W, Ji H, Lin F, Liu J. Simultaneous determination of tobacco minor alkaloids and tobacco-specific nitrosamines in mainstream smoke by dispersive solid-phase extraction coupled with ultra-performance liquid chromatography/tandem orbitrap mass spectrometry. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2018; 32:1791-1798. [PMID: 29964303 DOI: 10.1002/rcm.8222] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Revised: 06/21/2018] [Accepted: 06/22/2018] [Indexed: 06/08/2023]
Abstract
RATIONALE The minor alkaloids in tobacco play an important role in the chemical composition of cigarette smoke, and they are precursors of tobacco-specific nitrosamines (4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), N-nitrosonornicotine (NNN), N-nitrosoanabasine (NAB) and N-nitrosoanatabine (NAT)). NNN and NNK are classified as group 1 carcinogens. A method quantitating both tobacco minor alkaloids and tobacco-specific nitrosamines in mainstream smoke has not been reported. METHODS Tobacco minor alkaloids and tobacco-specific nitrosamines in cigarette mainstream smoke were extracted by sonication. The extract was cleaned up by dispersive solid-phase extraction, and separation was achieved via ultra-performance liquid chromatography/tandem orbitrap mass spectrometry. RESULTS The method was validated by analysis of six replicate samples spiked with three levels of the analyses. The mean recoveries for the six replicates were from 84.7% to 118% with less than 15% relative standard deviation except myosmine at the low spiked level and the calculated detection limits were 0.066 to 13.2 ng/cig, respectively. The mean concentrations of nicotyrine, anabasine, nornicotine, anatabine, myosmine, 2,3-bipyridine, cotinine, nicotelline, N-formylnornicotine, NNK, NNN, NAB and NAT in 30 different brands of commercial cigarette smoke under the ISO smoking regimen were 2.50 μg/cig, 2.34 μg/cig, 3.21 μg/cig, 5.78 μg/cig, 2.83 μg/cig, 1.05 μg/cig, 1.55 μg/cig, 0.55 μg/cig, 2.48 μg/cig, 6.06 ng/cig, 3.62 ng/cig, 0.40 ng/cig and 6.15 ng/cig, respectively. CONCLUSIONS The proposed method was suitable for analysis of tobacco minor alkaloids and tobacco-specific nitrosamines in cigarette mainstream smoke.
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Affiliation(s)
- Xiaotao Zhang
- Technology Center, China Tobacco Guizhou Industrial Co., Ltd, Guiyang, 550009, China
- College of Agriculture & Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Ruoning Wang
- Minimal Invasive Center, Tumor Hospital, Sun Yat-Sen University, Guangzhou, 510060, China
| | - Li Zhang
- Technology Center, China Tobacco Guizhou Industrial Co., Ltd, Guiyang, 550009, China
| | - Yibin Ruan
- Technology Center, China Tobacco Guizhou Industrial Co., Ltd, Guiyang, 550009, China
| | - Weiwei Wang
- Technology Center, China Tobacco Guizhou Industrial Co., Ltd, Guiyang, 550009, China
| | - Houwei Ji
- Technology Center, China Tobacco Guizhou Industrial Co., Ltd, Guiyang, 550009, China
| | - Fucheng Lin
- College of Agriculture & Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Jian Liu
- Technology Center, China Tobacco Guizhou Industrial Co., Ltd, Guiyang, 550009, China
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Wang L, Bernert JT, Benowitz NL, Feng J, Jacob P, McGahee E, Caudill SP, Scherer G, Scherer M, Pluym N, Doig MV, Newland K, Murphy SE, Caron NJ, Sander LC, Shimizu M, Yamazaki H, Kim S, Langman LJ, Pritchett JS, Sniegoski LT, Li Y, Blount BC, Pirkle JL. Collaborative Method Performance Study of the Measurement of Nicotine, Its Metabolites, and Total Nicotine Equivalents in Human Urine. Cancer Epidemiol Biomarkers Prev 2018; 27:1083-1090. [PMID: 29853481 DOI: 10.1158/1055-9965.epi-17-1127] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 02/06/2018] [Accepted: 05/25/2018] [Indexed: 01/04/2023] Open
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.
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Affiliation(s)
- Lanqing Wang
- Centers for Disease Control and Prevention, Atlanta, Georgia.
| | - John T Bernert
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Neal L Benowitz
- University of California at San Francisco, San Francisco, California
| | - June Feng
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Peyton Jacob
- University of California at San Francisco, San Francisco, California
| | - Ernest McGahee
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | | | | | | | - Mira V Doig
- ABS Laboratories, Ltd., Herts, United Kingdom
| | | | | | | | - Lane C Sander
- National Institute of Standards and Technology, Gaithersburg, Maryland
| | | | | | - Sung Kim
- Center for Risk Assessment, Soon Chun Hyang University, Seoul, Korea
| | | | | | - Lorna T Sniegoski
- National Institute of Standards and Technology, Gaithersburg, Maryland
| | - Yao Li
- Centers for Disease Control and Prevention, Atlanta, Georgia.,Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee
| | | | - James L Pirkle
- Centers for Disease Control and Prevention, Atlanta, Georgia
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Decreased pain tolerance before surgery and increased postoperative narcotic requirements in abstinent tobacco smokers. Addict Behav 2018; 78:9-14. [PMID: 29121531 DOI: 10.1016/j.addbeh.2017.10.024] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2017] [Revised: 10/16/2017] [Accepted: 10/27/2017] [Indexed: 01/27/2023]
Abstract
INTRODUCTION The clinical influence of smoking cessation on pain tolerance before surgery and postoperative pain perception is not fully understood. This clinical study investigated the effect of smoking cessation on pain threshold during the perioperative period in patients undergoing hepatic resection. METHODS We enrolled 148 male patients (68 non-smokers and 80 abstinent smokers) who underwent hepatic resection and received postoperative patient-controlled intravenous analgesia. Patients were tested for preoperative pain thresholds in response to electrical stimuli. We recorded the cumulative amount of extra morphine equivalent required during the first 48h after surgery. Pain intensity was evaluated at 1h, 6h, 24h and 48h after surgery using the visual analogue scale (VAS). Additionally, button-pressing consumption was recorded by a patient-controlled analgesia (PCA) pump. RESULTS The groups did not differ with respect to baseline clinical characteristics. Compared with non-smokers, abstinent smokers exhibited lower pain thresholds before surgery and demanded a larger quantity of extra morphine equivalent during the first 48h after surgery. Abstinent smokers also exhibited more severe postoperative pain than non-smokers. Postoperative complications, such as nausea, vomiting, dizziness, sedation, and respiratory depression, did not significantly differ between the two groups. CONCLUSIONS In this study, smokers deprived of cigarettes exhibited decreased pain tolerance before surgery and required a larger quantity of postoperative extra morphine equivalent than non-smokers. Health care providers must be aware of the potential for increased narcotic requirements in smokers.
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Hilton DC, Trinidad DA, Hubbard K, Li Z, Sjödin A. Measurement of urinary Benzo[a]pyrene tetrols and their relationship to other polycyclic aromatic hydrocarbon metabolites and cotinine in humans. CHEMOSPHERE 2017; 189:365-372. [PMID: 28946070 PMCID: PMC5647254 DOI: 10.1016/j.chemosphere.2017.09.077] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Revised: 09/15/2017] [Accepted: 09/16/2017] [Indexed: 06/07/2023]
Abstract
Biomonitoring of exposure to polycyclic aromatic hydrocarbons (PAHs) typically uses measurement of metabolites of PAHs with four or less aromatic rings, such as 1-hydroxypyrene, even though interest may be in exposure to larger and carcinogenic PAHs, such as benzo[a]pyrene (B[a]P). An improved procedure for measuring two tetrol metabolites of B[a]P has been developed. Using 2 mL urine, the method includes enzymatic deconjugation of the tetrol conjugates, liquid-liquid extraction, activated carbon solid phase extraction (SPE) and Strata-X SPE, and gas chromatography-electron capture negative ionization-tandem mass spectrometric determination. Limits of detection were 0.026 pg/mL (benzo[a]pyrene-r-7,t-8,t-9,c-10-tetrahydrotetrol, BPT I-1) and 0.090 pg/mL (benzo[a]pyrene-r-7,t-8,c-9,c-10-tetrahydrotetrol, BPT II-1). We quantified BPT I-1 and BPT II-1 in urine from a volunteer who consumed one meal containing high levels of PAHs (barbequed chicken). We also measured urinary concentrations of BPT I-1 and BPT II-1 in smokers and nonsmokers, and compared these concentrations with those of monohydroxy PAHs (OH-PAHs) and cotinine. Urinary elimination of BPT I-1 and BPT II-1 as a function of time after dietary exposure was similar to that observed previously for OH-PAHs. While the median BPT I-1 concentration in smokers' urine (0.069 pg/mL) significantly differs from nonsmokers (0.043 pg/mL), BPT I-1 is only weakly correlated with cotinine. The urinary concentration of BPT I-1 shows a weaker relationship to tobacco smoke than metabolites of smaller PAHs, suggesting that other routes of exposure such as for example dietary routes may be of larger quantitative importance.
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Affiliation(s)
- Donald C Hilton
- Centers for Disease Control and Prevention, 4770 Buford Highway, Atlanta, GA 30341, USA.
| | - Debra A Trinidad
- Centers for Disease Control and Prevention, 4770 Buford Highway, Atlanta, GA 30341, USA
| | - Kendra Hubbard
- Centers for Disease Control and Prevention, 4770 Buford Highway, Atlanta, GA 30341, USA
| | - Zheng Li
- Centers for Disease Control and Prevention, 4770 Buford Highway, Atlanta, GA 30341, USA
| | - Andreas Sjödin
- Centers for Disease Control and Prevention, 4770 Buford Highway, Atlanta, GA 30341, USA
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Shahab L, Goniewicz ML, Blount BC, Brown J, McNeill A, Alwis KU, Feng J, Wang L, West R. Nicotine, Carcinogen, and Toxin Exposure in Long-Term E-Cigarette and Nicotine Replacement Therapy Users: A Cross-sectional Study. Ann Intern Med 2017; 166:390-400. [PMID: 28166548 PMCID: PMC5362067 DOI: 10.7326/m16-1107] [Citation(s) in RCA: 356] [Impact Index Per Article: 50.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Given the rapid increase in the popularity of e-cigarettes and the paucity of associated longitudinal health-related data, the need to assess the potential risks of long-term use is essential. OBJECTIVE To compare exposure to nicotine, tobacco-related carcinogens, and toxins among smokers of combustible cigarettes only, former smokers with long-term e-cigarette use only, former smokers with long-term nicotine replacement therapy (NRT) use only, long-term dual users of both combustible cigarettes and e-cigarettes, and long-term users of both combustible cigarettes and NRT. DESIGN Cross-sectional study. SETTING United Kingdom. PARTICIPANTS The following 5 groups were purposively recruited: combustible cigarette-only users, former smokers with long-term (≥6 months) e-cigarette-only or NRT-only use, and long-term dual combustible cigarette-e-cigarette or combustible cigarette-NRT users (n = 36 to 37 per group; total n = 181). MEASUREMENTS Sociodemographic and smoking characteristics were assessed. Participants provided urine and saliva samples and were analyzed for biomarkers of nicotine, tobacco-specific N-nitrosamines (TSNAs), and volatile organic compounds (VOCs). RESULTS After confounders were controlled for, no clear between-group differences in salivary or urinary biomarkers of nicotine intake were found. The e-cigarette-only and NRT-only users had significantly lower metabolite levels for TSNAs (including the carcinogenic metabolite 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol [NNAL]) and VOCs (including metabolites of the toxins acrolein; acrylamide; acrylonitrile; 1,3-butadiene; and ethylene oxide) than combustible cigarette-only, dual combustible cigarette-e-cigarette, or dual combustible cigarette-NRT users. The e-cigarette-only users had significantly lower NNAL levels than all other groups. Combustible cigarette-only, dual combustible cigarette-NRT, and dual combustible cigarette-e-cigarette users had largely similar levels of TSNA and VOC metabolites. LIMITATION Cross-sectional design with self-selected sample. CONCLUSION Former smokers with long-term e-cigarette-only or NRT-only use may obtain roughly similar levels of nicotine compared with smokers of combustible cigarettes only, but results varied. Long-term NRT-only and e-cigarette-only use, but not dual use of NRTs or e-cigarettes with combustible cigarettes, is associated with substantially reduced levels of measured carcinogens and toxins relative to smoking only combustible cigarettes. PRIMARY FUNDING SOURCE Cancer Research UK.
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Affiliation(s)
- Lion Shahab
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Maciej L. Goniewicz
- Department of Health Behavior, Roswell Park Cancer Institute, Buffalo, New York, USA
| | - Benjamin C. Blount
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jamie Brown
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Ann McNeill
- Addictions Department, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, UK
| | - K. Udeni Alwis
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - June Feng
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Lanqing Wang
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Robert West
- Department of Epidemiology and Public Health, University College London, London, UK
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Wei B, Bernert JT, Blount BC, Sosnoff CS, Wang L, Richter P, Pirkle JL. Temporal Trends of Secondhand Smoke Exposure: Nonsmoking Workers in the United States (NHANES 2001-2010). ENVIRONMENTAL HEALTH PERSPECTIVES 2016; 124:1568-1574. [PMID: 27164619 PMCID: PMC5047768 DOI: 10.1289/ehp165] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Revised: 01/17/2016] [Accepted: 05/02/2016] [Indexed: 05/05/2023]
Abstract
BACKGROUND The workplace is one of the major locations outside of the home for nonsmokers' exposure to secondhand smoke (SHS). New policies in many U.S. states and localities restrict or prohibit smoking in the workplace, and information on current trends in the exposure of nonsmokers to SHS across various occupational groups is therefore needed. OBJECTIVE We evaluated temporal trends in SHS exposure among nonsmoking workers in the United States and identified those occupations with workers with the highest levels of SHS exposure. METHODS We combined serum cotinine (sCOT) measurements and questionnaire data from five survey cycles of the National Health and Nutrition Examination Survey (NHANES: 2001-2010). Trends in SHS exposure by occupations were determined from percent changes and least-squares geometric means (LSGMs) of sCOT concentrations computed using sample-weighted multiple regression models. RESULTS Between NHANES 2001-2002 and NHANES 2009-2010, LSGMs of sCOT levels had changed -25% (95% CI: -39, -7%) in nonsmoking workers. The largest decrease was identified among food preparation workers [-54% (95% CI: -74, -19%)], followed by white-collar [-40%, (95% CI: -56, -19%)] and blue-collar workers (-32%, 95% CI: -51, -5%). LSGMs of sCOT remained highest in food preparation workers in all survey cycles, but the gap between occupations narrowed in the latest survey cycle (2009-2010). For example, the gap in LSGMs of sCOT between food preparation and science/education workers dropped > 70% during 2000 to 2010. CONCLUSIONS During the period from 2001 to 2010, the overall SHS exposure in nonsmoking workers declined with substantial drops in food preparation/service and blue-collar workers. Although disparities persist in SHS exposure, the gaps among occupations have narrowed. CITATION Wei B, Bernert JT, Blount BC, Sosnoff CS, Wang L, Richter P, Pirkle JL. 2016. Temporal trends of secondhand smoke exposure: nonsmoking workers in the United States (NHANES 2001-2010). Environ Health Perspect 124:1568-1574; http://dx.doi.org/10.1289/EHP165.
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Affiliation(s)
- Binnian Wei
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - John T. Bernert
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Benjamin C. Blount
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Connie S. Sosnoff
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Lanqing Wang
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Patricia Richter
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - James L. Pirkle
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Wei B, Blount BC, Xia B, Wang L. Assessing exposure to tobacco-specific carcinogen NNK using its urinary metabolite NNAL measured in US population: 2011-2012. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2016; 26:249-56. [PMID: 25564369 PMCID: PMC4520776 DOI: 10.1038/jes.2014.88] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2014] [Revised: 10/01/2014] [Accepted: 10/02/2014] [Indexed: 05/22/2023]
Abstract
Carcinogenic tobacco-specific nitrosamines (TSNAs) such as 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) are found only in tobacco and derived products. Food and Drug Administration of the United States (US FDA) lists NNK as one of the 93 harmful and potentially harmful constituents (HPHCs) found in tobacco products and tobacco smoke. The aim of this study was to use the urinary concentration of 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL), a major metabolite of NNK, to quantitatively estimate exposure to NNK in the US general population. In 2011-2012, the Centers for Disease Control and Prevention's National Health and Nutrition Examination Survey (NHANES) collected urine and serum samples from a representative sample of US residents. We used a serum cotinine cutoff of 10 ng/ml with combination of questionnaire data to select non-users from cigarette users and used self-reported data to determine different tobacco product user groups. We estimated the absorbed total daily dose of NNK using a probabilistic method based on a two-compartment model. The geometric mean (GM) for the daily dose of NNK among smokers aged 12-16 years was significantly higher than that for non-users at the same age stage exposed to second-hand smoke (SHS) (P<0.001). Among those exposed to SHS, the GM for daily dose of NNK in young children (6-11 years) was nearly three times of those for adults in the age range 21-59 years. Among cigarette users, non-Hispanic Whites had the highest NNK daily dose and Mexican Americans had the lowest levels. Exclusive snuff or chewing product users had significantly higher daily dose of NNK than did cigarette smokers. Our study found that the maximum daily dose of NNK for children aged from 6 to 11 years and that for a significant percentage of cigarette users, chewing product and snuff users were higher than an estimated provisional "reference" risk level.
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Affiliation(s)
- Binnian Wei
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Benjamin C Blount
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Baoyun Xia
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Lanqing Wang
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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von Weymarn LB, Thomson NM, Donny EC, Hatsukami DK, Murphy SE. Quantitation of the Minor Tobacco Alkaloids Nornicotine, Anatabine, and Anabasine in Smokers' Urine by High Throughput Liquid Chromatography-Mass Spectrometry. Chem Res Toxicol 2016; 29:390-7. [PMID: 26825008 PMCID: PMC5155587 DOI: 10.1021/acs.chemrestox.5b00521] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Nicotine is the most abundant alkaloid in tobacco accounting for 95% of the alkaloid content. There are also several minor tobacco alkaloids; among these are nornicotine, anatabine, and anabasine. We developed and applied a 96 well plate-based capillary LC-tandem mass spectrometry method for the analysis of nornicotine, anatabine, and anabasine in urine. The method was validated with regard to accuracy and precision. Anabasine was quantifiable to low levels with a limit of quantitation (LOQ) of 0.2 ng/mL even when nicotine, which is isobaric, is present at concentrations >2500-fold higher than anabasine. This attribute of the method is important since anatabine and anabasine in urine have been proposed as biomarkers of tobacco use for individuals using nicotine replacement therapies. In the present study, we analyzed the three minor tobacco alkaloids in urine from 827 smokers with a wide range of tobacco exposures. Nornicotine (LOQ 0.6 ng/mL) was detected in all samples, and anatabine (LOQ, 0.15 ng/mL) and anabasine were detected in 97.7% of the samples. The median urinary concentrations of nornicotine, anatabine, and anabasine were 98.9, 4.02, and 5.53 ng/mL. Total nicotine equivalents (TNE) were well correlated with anatabine (r(2) = 0.714) and anabasine (r(2) = 0.760). TNE was most highly correlated with nornicotine, which is also a metabolite of nicotine. Urine samples from a subset of subjects (n = 110) were analyzed for the presence of glucuronide conjugates by quantifying any increase in anatabine and anabasine concentrations after β-glucuronidase treatment. The median ratio of the glucuronidated to free anatabine was 0.74 (range, 0.1 to 10.9), and the median ratio of glucuronidated to free anabasine was 0.3 (range, 0.1 to 2.9). To our knowledge, this is the largest population of smokers for whom the urinary concentrations of these three tobacco alkaloids has been reported.
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Affiliation(s)
- Linda B. von Weymarn
- Department of Biochemistry Molecular Biology and Biophysics and Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455
| | - Nicole M. Thomson
- Department of Biochemistry Molecular Biology and Biophysics and Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455
| | - Eric C. Donny
- Department of Psychology, University of Pittsburgh, Pittsburgh PA, USA 15260
| | - Dorothy K. Hatsukami
- Masonic Cancer Center and Department of Psychiatry, University of Minnesota, Minneapolis, MN 55455
| | - Sharon E. Murphy
- Department of Biochemistry Molecular Biology and Biophysics and Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455
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Wei B, Alwis KU, Li Z, Wang L, Valentin-Blasini L, Sosnoff CS, Xia Y, Conway KP, Blount BC. Urinary concentrations of PAH and VOC metabolites in marijuana users. ENVIRONMENT INTERNATIONAL 2016; 88:1-8. [PMID: 26690539 PMCID: PMC5024567 DOI: 10.1016/j.envint.2015.12.003] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Revised: 11/17/2015] [Accepted: 12/03/2015] [Indexed: 05/22/2023]
Abstract
BACKGROUND Marijuana is seeing increased therapeutic use, and is the world's third most-popular recreational drug following alcohol and tobacco. This widening use poses increased exposure to potentially toxic combustion by-products from marijuana smoke and the potential for public health concerns. OBJECTIVES To compare urinary metabolites of polycyclic aromatic hydrocarbons (PAHs) and volatile organic compounds (VOCs) among self-reported recent marijuana users and nonusers, while accounting for tobacco smoke exposure. METHODS Measurements of PAH and VOC metabolites in urine samples were combined with questionnaire data collected from participants in the National Health and Nutrition Examination Surveys (NHANES) from 2005 to 2012 in order to categorize participants (≥18years) into exclusive recent marijuana users and nonusers. Adjusted geometric means (GMs) of urinary concentrations were computed for these groups using multiple regression analyses to adjust for potential confounders. RESULTS Adjusted GMs of many individual monohydroxy PAHs (OH-PAHs) were significantly higher in recent marijuana users than in nonusers (p<0.05). Urinary thiocyanate (p<0.001) and urinary concentrations of many VOC metabolites, including metabolites of acrylonitrile (p<0.001) and acrylamide (p<0.001), were significantly higher in recent marijuana users than in nonusers. CONCLUSIONS We found elevated levels of biomarkers for potentially harmful chemicals among self-identified, recent marijuana users compared with nonusers. These findings suggest that further studies are needed to evaluate the potential health risks to humans from the exposure to these agents when smoking marijuana.
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Affiliation(s)
- Binnian Wei
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States.
| | - K Udeni Alwis
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Zheng Li
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Lanqing Wang
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Liza Valentin-Blasini
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Connie S Sosnoff
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Yang Xia
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Kevin P Conway
- Division of Epidemiology, Services and Prevention Research at the National Institutes of Health, United States
| | - Benjamin C Blount
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States
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Jing Y, Lin E, Su X, Liu Y, Li H, Yuan X, Ping L, Fan Y. Electrodeposition of Au nanoparticles on poly(diallyldimethylammonium chloride) functionalized reduced graphene oxide sheets for voltammetric determination of nicotine in tobacco products and anti-smoking pharmaceuticals. RSC Adv 2016. [DOI: 10.1039/c6ra03399g] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
The principal objective of this study was to develop a sensitive and selective electrochemical sensor for nicotine detection based on a novel PDDA-RGO/Au nanocomposite.
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Affiliation(s)
- Yanqiu Jing
- College of Tobacco Science
- Henan Agricultural University
- Zhengzhou
- China
| | - Erge Lin
- College of Tobacco Science
- Henan Agricultural University
- Zhengzhou
- China
| | - Xinhong Su
- Research Institute of Henan Tobacco Corporation
- Zhengzhou
- China
| | - Yingjie Liu
- Zhengzhou Branch of Henan Tobacco Corporation
- Zhengzhou
- China
| | - Huaiqi Li
- Technology Center of Chinese Tobacco Industrial Company of Henan
- Zhengzhou
- China
| | - Xiuxiu Yuan
- College of Tobacco Science
- Henan Agricultural University
- Zhengzhou
- China
| | - Lu Ping
- Technology Center of Chinese Tobacco Industrial Company of Henan
- Zhengzhou
- China
| | - Yikuan Fan
- Research Institute of Henan Tobacco Corporation
- Zhengzhou
- China
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Ramdzan AN, Barreiros L, Almeida MIG, Kolev SD, Segundo MA. Determination of salivary cotinine through solid phase extraction using a bead-injection lab-on-valve approach hyphenated to hydrophilic interaction liquid chromatography. J Chromatogr A 2016; 1429:284-91. [DOI: 10.1016/j.chroma.2015.12.051] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2015] [Revised: 12/09/2015] [Accepted: 12/17/2015] [Indexed: 01/13/2023]
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Abstract
Biologically monitoring marijuana exposure from active and passive use requires both a wide linear range and sensitive detection. We have developed and validated a multifunctional method using ultrahigh performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS) for analysis of urinary Δ9-tetrahydrocannabinol (THC), cannabidiol and cannabinol, and two major metabolites of THC, 11-nor-9-carboxy-THC and 11-hydroxy-THC, in active users and particularly in people exposed to secondhand marijuana smoke (SHMS). The method used positive electrospray ionization (ESI) mode to reach the sensitivity needed to detect trace SHMS exposure with limits of detection (LOD) ranging from 0.002 to 0.008 nanograms per milliliter (ng/mL) and 0.005 to 0.017 ng/mL for "free" (unconjugated forms) and "total" (unconjugated plus conjugated forms) measurements, respectively. These LODs were approximately 10-100 times more sensitive than those reported in the literature. To reduce or avoid time-consuming repetitive sample preparation and analysis, the method simultaneously monitored multiple reaction monitoring transitions in negative ESI mode to quantify high analyte levels typically found in the urine of active marijuana users (linear dynamic range of 12.5-800 ng/mL). The validation results indicated this method was accurate (average inter/intra-day bias, <10%), precise (inter/intra-day imprecision, <10%), and fast (6 min run time). In addition, sample preparation throughput was greatly improved using an automation liquid-handling system, meeting the needs for potential large-scale population studies.
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Affiliation(s)
- Binnian Wei
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention , 4770 Buford Highway, NE Road, Mail Stop F44, Atlanta, Georgia 30041, United States
| | - Lanqing Wang
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention , 4770 Buford Highway, NE Road, Mail Stop F44, Atlanta, Georgia 30041, United States
| | - Benjamin C Blount
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention , 4770 Buford Highway, NE Road, Mail Stop F44, Atlanta, Georgia 30041, United States
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