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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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Song W, Bian L, Xiong M, Duan Y, Wang Y, Zhang X, Li B, Dai Y, Lu J, Li M, Liu Z, Liu S, Zhang L, Yao H, Shao R, Li G, Li L. Association of genetic polymorphisms with mercapturic acids in the urine of young healthy subjects before and after exposure to outdoor air pollution. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2023; 33:936-948. [PMID: 35469493 DOI: 10.1080/09603123.2022.2066068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 04/09/2022] [Indexed: 06/14/2023]
Abstract
We aimed to identify the relationship between variations in metabolic genes and human urinary changes in mercapturic acids (MAs), including CEMA, HMPMA, SPMA, HPMA and HEMA, before and after air pollution exposure. Genotype detection for 47 relevant single nucleotide polymorphisms (SNPs) collected by literature research was performed. Five MAs expression levels in the urinary samples of 50 young healthy individuals with short-term exposure to clean, polluted and purified air at five time points were detected by targeted online solid-phase extraction liquid chromatography tandem mass spectrometry (SPE-LC-MS/MS), followed with associations of SNPs with MAs changes. Difference in MAs between polluted and clean/purified air was significantly associated with 21 SNPs mapped into 9 genes. Five SNPs in GSTP1 showed the most prominent association with the changes in SPMA expression, indicating that those SNPs in GSTP1 and SPMA might serve as biomarkers for susceptibility and the prognosis of lung cancer.
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Affiliation(s)
- Wenping Song
- Department of Pharmacy, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Lingjie Bian
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Mengran Xiong
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Yuanyuan Duan
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Yi Wang
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Xia Zhang
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Biao Li
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Yulong Dai
- Department of Bioinformatics Analysis & Technical Support, Shanghai Lu Ming Biological Technology Co. Ltd, Shanghai, China
| | - Jiawei Lu
- Department of Bioinformatics Analysis & Technical Support, Shanghai Lu Ming Biological Technology Co. Ltd, Shanghai, China
| | - Meng Li
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Zhiguo Liu
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Shigang Liu
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Li Zhang
- Key Laboratory of Antibiotic Bioengineering of National Health and Family Planning Commission (NHFPC), Institute of Medicinal Biotechnology (IMB), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing, China
| | - Hongjuan Yao
- Key Laboratory of Antibiotic Bioengineering of National Health and Family Planning Commission (NHFPC), Institute of Medicinal Biotechnology (IMB), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing, China
| | - Rongguang Shao
- Key Laboratory of Antibiotic Bioengineering of National Health and Family Planning Commission (NHFPC), Institute of Medicinal Biotechnology (IMB), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing, China
| | - Guangxi Li
- Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, China
| | - Liang Li
- Key Laboratory of Antibiotic Bioengineering of National Health and Family Planning Commission (NHFPC), Institute of Medicinal Biotechnology (IMB), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing, China
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Ashley DL, Zhu W, Wang L, Sosnoff C, Feng J, Del Valle-Pinero AY, Cheng YC, Chang CM, van Bemmel D, Borek N, Kimmel HL, Silveira ML, Blount BC. Variability in Urinary Nicotine Exposure Biomarker Levels Between Waves 1 (2013-2014) and 2 (2014-2015) in the Population Assessment of Tobacco and Health Study. Nicotine Tob Res 2023; 25:616-623. [PMID: 35348750 PMCID: PMC10032194 DOI: 10.1093/ntr/ntac056] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 02/17/2022] [Accepted: 02/24/2022] [Indexed: 11/13/2022]
Abstract
INTRODUCTION To date, no studies have evaluated the consistency of biomarker levels in people who smoke over a long-time period in real-world conditions with a large number of subjects and included use behavior and measures of nicotine metabolism. We evaluated the variability of biomarkers of nicotine exposure over approximately a 1-year period in people who exclusively smoke cigarettes, including intensity and recency of use and brand switching to assess impact on understanding associations with product characteristics. AIMS AND METHODS Multivariate regression analysis of longitudinal repeated measures of urinary biomarkers of nicotine exposure from 916 adults in the Population Assessment of Tobacco and Health (PATH) Study with demographic characteristics and use behavior variables. Intraclass correlation coefficients (ICCs) were calculated to examine individual variation of nicotine biomarkers and the uncertainty of repeat measures at two time points (Waves 1 and 2). RESULTS Age, race, and urinary creatinine were significant covariates of urinary cotinine. When including use behavior, recency, and intensity of use were highly significant and variance decreased to a higher extent between than within subjects. The ICC for urinary cotinine decreased from 0.7530 with no use behavior variables in the model to 0.5763 when included. Similar results were found for total nicotine equivalents. CONCLUSIONS Urinary nicotine biomarkers in the PATH Study showed good consistency between Waves 1 and 2. Use behavior measures such as time since last smoked a cigarette and number of cigarettes smoked in the past 30 days are important to include when assessing factors that may influence biomarker concentrations. IMPLICATIONS The results of this study show that the consistency of the nicotine biomarkers cotinine and total nicotine equivalents in spot urine samples from Waves 1 to 2 of the PATH Study is high enough that these data are useful to evaluate the association of cigarette characteristics with biomarkers of exposure under real-world use conditions.
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Affiliation(s)
- David L Ashley
- Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA
| | - Wanzhe Zhu
- Division of Laboratory Sciences, National Center for Environmental Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Lanqing Wang
- Division of Laboratory Sciences, National Center for Environmental Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Connie Sosnoff
- Division of Laboratory Sciences, National Center for Environmental Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jun Feng
- Division of Laboratory Sciences, National Center for Environmental Health, U.S. 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
| | - Yu-Ching Cheng
- Office of Science, Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Cindy M Chang
- Office of Science, Center for Tobacco Products, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Dana van Bemmel
- 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
| | - Heather L Kimmel
- Division of Epidemiology, Services and Prevention Research, National Institute for Drug Abuse, National Institutes of Health, Bethesda, MD, USA
| | - Marushka L Silveira
- Division of Epidemiology, Services and Prevention Research, National Institute for Drug Abuse, National Institutes of Health, Bethesda, MD, USA
- Kelly Government Solutions, Rockville, MD, USA
| | - Benjamin C Blount
- Division of Laboratory Sciences, National Center for Environmental Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA
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Park SL, Le Marchand L, Cheng G, Balbo S, Chen M, Carmella SG, Thomson NM, Lee Y, Patel YM, Stram DO, Jensen J, Hatsukami DK, Murphy SE, Hecht SS. Quantitation of DNA Adducts Resulting from Acrolein Exposure and Lipid Peroxidation in Oral Cells of Cigarette Smokers from Three Racial/Ethnic Groups with Differing Risks for Lung Cancer. Chem Res Toxicol 2022; 35:1914-1922. [PMID: 35998368 PMCID: PMC10019528 DOI: 10.1021/acs.chemrestox.2c00171] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The Multiethnic Cohort Study has demonstrated that the risk for lung cancer in cigarette smokers among three ethnic groups is highest in Native Hawaiians, intermediate in Whites, and lowest in Japanese Americans. We hypothesized that differences in levels of DNA adducts in oral cells of cigarette smokers would be related to these differing risks of lung cancer. Therefore, we used liquid chromatography-nanoelectrospray ionization-high resolution tandem mass spectrometry to quantify the acrolein-DNA adduct (8R/S)-3-(2'-deoxyribos-1'-yl)-5,6,7,8-tetrahydro-8-hydroxypyrimido[1,2-a]purine-10(3H)-one (γ-OH-Acr-dGuo, 1) and the lipid peroxidation-related DNA adduct 1,N6-etheno-dAdo (εdAdo, 2) in DNA obtained by oral rinse from 101 Native Hawaiians, 101 Whites, and 79 Japanese Americans. Levels of urinary biomarkers of nicotine, acrolein, acrylonitrile, and a mixture of crotonaldehyde, methyl vinyl ketone, and methacrolein were also quantified. Whites had significantly higher levels of γ-OH-Acr-dGuo than Japanese Americans and Native Hawaiians after adjusting for age and sex. There was no significant difference in levels of this DNA adduct between Japanese Americans and Native Hawaiians, which is not consistent with the high lung cancer risk of Native Hawaiians. Levels of εdAdo were modestly higher in Whites and Native Hawaiians than in Japanese Americans. The lower level of DNA adducts in the oral cells of Japanese American cigarette smokers than Whites is consistent with their lower risk for lung cancer. The higher levels of εdAdo, but not γ-OH-Acr-dGuo, in Native Hawaiian versus Japanese American cigarette smokers suggest that lipid peroxidation and related processes may be involved in their high risk for lung cancer, but further studies are required.
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Affiliation(s)
- Sungshim L Park
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii 96813, United States
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii 96813, United States
| | - Guang Cheng
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Silvia Balbo
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Menglan Chen
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Steven G Carmella
- 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
| | - Younghan Lee
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii 96813, United States
| | - Yesha M Patel
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California 90033, United States
| | - Daniel O Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California 90033, United States
| | - Joni Jensen
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Dorothy K Hatsukami
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Sharon E Murphy
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Stephen S Hecht
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States
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5
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Wang B, Yu L, Liu W, Yang M, Fan L, Zhou M, Ma J, Wang X, Nie X, Cheng M, Qiu W, Ye Z, Song J, Chen W. Cross-sectional and longitudinal associations of acrolein exposure with pulmonary function alteration: Assessing the potential roles of oxidative DNA damage, inflammation, and pulmonary epithelium injury in a general adult population. ENVIRONMENT INTERNATIONAL 2022; 167:107401. [PMID: 35850081 DOI: 10.1016/j.envint.2022.107401] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 06/13/2022] [Accepted: 07/06/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Acrolein is a significant high priority hazardous air pollutant with pulmonary toxicity and the leading cause of most noncancer adverse respiratory effects among air toxics that draws great attention. Whether and how acrolein exposure impacts pulmonary function remain inconclusive. OBJECTIVES To assess the association of acrolein exposure with pulmonary function and the underlying roles of oxidative DNA damage, inflammation, and pulmonary epithelium integrity. METHODS Among 3,279 Chinese adults from the Wuhan-Zhuhai cohort, associations of urinary acrolein metabolites (N-Acetyl-S-(2-carboxyethyl)-L-cysteine, CEMA; N-Acetyl-S-(3-hydroxypropyl)-L-cysteine, 3HPMA) as credible biomarkers of acrolein exposure with pulmonary function were analyzed by linear mixed models. Joint effects of biomarkers of oxidative DNA damage (8-hydroxy-deoxyguanosine), inflammation (C-reactive protein, CRP), and pulmonary epithelium integrity (Club cell secretory protein, CC16) with acrolein metabolites on pulmonary function and the mediating roles of these biomarkers were assessed. Besides, a subgroup (N = 138) was randomly recruited from the cohort to assess the stabilities of acrolein metabolites and their longitudinal associations with pulmonary function change in three years. RESULTS Significant inverse dose-response relationships between acrolein metabolites and pulmonary function were found. Each 10-fold increment in CEMA, 3HPMA, or ΣUACLM (CEMA + 3HPMA) was cross-sectionally related to a 68.56-, 40.98-, or 46.02-ml reduction in FVC and a 61.54-, 43.10-, or 50.14-ml reduction in FEV1, respectively (P < 0.05). Furthermore, acrolein metabolites with fair to excellent stabilities were found to be longitudinally associated with pulmonary function decline in three years. Joint effects of acrolein metabolites with 8-hydroxy-deoxyguanosine, CRP, and CC16 on pulmonary function were identified. CRP significantly mediated 5.97% and 5.51% of CEMA-associated FVC and FEV1 reductions, respectively. 8-hydroxy-deoxyguanosine significantly mediated 6.78%, 6.88%, and 7.61% of CEMA-, 3HPMA-, and ΣUACLM-associated FVC reductions, respectively. CONCLUSIONS Acrolein exposure of general adults was cross-sectionally and longitudinally related to pulmonary function decline, which was aggravated and/or partly mediated by oxidative DNA damage, inflammation, and pulmonary epithelium injury.
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Affiliation(s)
- Bin Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Linling Yu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Wei Liu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Meng Yang
- Wuhan Children's Hospital (Wuhan Maternal and Child Health Care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430019, China
| | - Lieyang Fan
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Min Zhou
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Jixuan Ma
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Xing Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Xiuque Nie
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Man Cheng
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Weihong Qiu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Zi Ye
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Jiahao Song
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Weihong Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
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6
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Liu D, Cheng Y, Mei X, Xie Y, Tang Z, Liu J, Cao X. Mechanisms of acrolein induces toxicity in human umbilical vein endothelial cells: Oxidative stress, DNA damage response, and apoptosis. ENVIRONMENTAL TOXICOLOGY 2022; 37:708-719. [PMID: 34908224 DOI: 10.1002/tox.23436] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 11/03/2021] [Accepted: 12/05/2021] [Indexed: 06/14/2023]
Abstract
Acrolein is a ubiquitous environmental pollutant that produced by the incomplete combustion of cigarette smoke, forest fires, petroleum fuels, plastic materials, and cooking fumes. Inhalation is a common form of people exposure to acrolein, increasing evidence demonstrates that acrolein impairs the cardiovascular system by targeting vascular endothelial cells. However, the molecular mechanism of the cytotoxicity of acrolein exposure on vascular endothelial cells remains unclear. This work focused on the toxicity of acrolein on human umbilical vein endothelial cells (HUVECs). The molecular mechanism was studied based on oxidative stress, DNA damage response (DDR), and mitochondrial apoptosis pathways. After HUVECs were treated with 12.5, 25, and 50 μM acrolein for 24 h, cell viability, cell colony formation, mitochondrial membrane potential, and adenosine triphosphate content significantly reduced, and acrolein increased intracellular reactive oxygen species, apoptosis rate, and 8-hydroxy-2 deoxyguanosine (8-OHdG) level. Furthermore, p38MAPK and c-Jun N-terminal kinase signaling pathways were activated in response to oxidative stress. Moreover, acrolein induced G0/G1phase arrest, promoted the expression of γ-H2AX, activated the DDR signaling pathway (Ataxia-Telangiectasia-Mutated [ATM] and Rad-3-related/Chk1 and ATM/Chk2), and triggered the consequent cell cycle checkpoints. Finally, the protein expression of Bax/Bcl-2 and cleaved Caspase-3 was up-regulated, suggesting apoptosis was induced by triggering the mitochondrial apoptosis pathway. All these results indicated that acrolein induced HUVECs cytotoxicity by regulating oxidative stress, DNA damage, and apoptosis. This study provides a novel perspective on the mechanism of acrolein-induced cardiovascular toxicity, it will be helpful for the prevention of acrolein-induced cardiovascular disease.
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Affiliation(s)
- Dan Liu
- Department of Biological Sciences, School of Life Science, Liaoning University, Shenyang, China
| | - Ye Cheng
- Department of Biological Sciences, School of Life Science, Liaoning University, Shenyang, China
| | - Xueying Mei
- Department of Biological Sciences, School of Life Science, Liaoning University, Shenyang, China
| | - Yanzhen Xie
- Department of Biological Sciences, School of Life Science, Liaoning University, Shenyang, China
| | - Zhipeng Tang
- Department of Biological Sciences, School of Life Science, Liaoning University, Shenyang, China
| | - Jianli Liu
- Department of Biological Sciences, School of Life Science, Liaoning University, Shenyang, China
| | - Xiangyu Cao
- Department of Biological Sciences, School of Life Science, Liaoning University, Shenyang, China
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Guo J, Ikuemonisan J, Hatsukami DK, Hecht SS. Liquid Chromatography-Nanoelectrospray Ionization-High-Resolution Tandem Mass Spectrometry Analysis of Apurinic/Apyrimidinic Sites in Oral Cell DNA of Cigarette Smokers, e-Cigarette Users, and Nonsmokers. Chem Res Toxicol 2021; 34:2540-2548. [PMID: 34846846 DOI: 10.1021/acs.chemrestox.1c00308] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Cigarette smoking is an established risk factor for oral cancer. The health effects of e-cigarettes are still under investigation but may disturb oral cavity homeostasis and cause lung and cardiovascular diseases. Carcinogens and toxicants in tobacco products and e-cigarettes may damage DNA, resulting in the formation of apurinic/apyrimidinic (AP) sites and initiation of the carcinogenic process. In this study, we optimized a liquid chromatography-nanoelectrospray ionization-high-resolution tandem mass spectrometry method to analyze AP sites in buccal cell DNA of 35 nonsmokers, 30 smokers, and 30 e-cigarette users. AP sites in e-cigarette users (median 3.3 per 107 nts) were significantly lower than in smokers (median 5.7 per 107 nts) and nonsmokers (median 6.0 per 107 nts). AP sites in smokers were not significantly different from nonsmokers (p > 0.05). The e-cigarette vaporizing solvents propylene glycol and glycerin were tested and did not protect against AP site formation in in vitro control and carcinogen exposed rat liver homogenates. However, propylene glycol may inhibit bacteria in oral cells, resulting in reduced inflammation and related effects, and reduced AP site levels in e-cigarette user DNA. This is the first study to examine AP site formation in e-cigarette users and to evaluate AP sites in human oral cell DNA.
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Affiliation(s)
- Jiehong Guo
- Masonic Cancer Center, University of Minnesota, 2231 6th Street SE, 2-210 CCRB, Minneapolis, Minnesota 55455, United States
| | - Joshua Ikuemonisan
- Masonic Cancer Center, University of Minnesota, 2231 6th Street SE, 2-210 CCRB, Minneapolis, Minnesota 55455, United States
| | - Dorothy K Hatsukami
- Masonic Cancer Center, University of Minnesota, 2231 6th Street SE, 2-210 CCRB, Minneapolis, Minnesota 55455, United States
| | - Stephen S Hecht
- Masonic Cancer Center, University of Minnesota, 2231 6th Street SE, 2-210 CCRB, Minneapolis, Minnesota 55455, United States
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Kenwood BM, McLoughlin C, Zhang L, Zhu W, Bhandari D, De Jesús VR, Blount BC. Characterization of the association between cigarette smoking intensity and urinary concentrations of 2-hydroxyethyl mercapturic acid among exclusive cigarette smokers in the National Health and Nutrition Examination Survey (NHANES) 2011-2016. Biomarkers 2021; 26:656-664. [PMID: 34409911 PMCID: PMC8517914 DOI: 10.1080/1354750x.2021.1970809] [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: 05/24/2021] [Accepted: 08/15/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND 2-Hydroxyethyl mercapturic acid (2HEMA, N-acetyl-S-(2-hydroxyethyl)-L-cysteine) is a urinary metabolite of several volatile organic compounds including acrylonitrile and ethylene oxide, which are found in cigarette smoke. METHODS We measured 2HEMA concentrations in urine specimens collected during the National Health and Nutrition Examination Survey (2011-2016) from eligible participants aged >12 years (N = 7,416). We developed two multiple linear regression models to characterize the association between cigarette smoking and 2HEMA concentrations wherein the dependent variable was 2HEMA concentrations among participants who exclusively smoked cigarettes at the time of specimen collection and the independent variables included sex, age, race/ethnicity, creatinine, diet, and either cigarettes smoked per day (CPD) or serum cotinine. RESULTS We detected 2HEMA in 85% of samples tested among exclusive cigarette smokers, and only 40% of specimens from non-smokers. When compared to exclusive cigarette smokers who smoked 1-9 CPD, smoking 10-19 CPD was associated with 36% higher 2HEMA (p < 0.0001) and smoking >19 CPD was associated with 61% higher 2HEMA (p < 0.0001). Additionally, 2HEMA was positively associated with serum cotinine. CONCLUSIONS This study demonstrates that cigarette smoking intensity is associated with higher urinary 2HEMA concentrations and is likely a major source of acrylonitrile and/or ethylene oxide exposure.
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Affiliation(s)
- Brandon M Kenwood
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Caitlyn McLoughlin
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Luyu Zhang
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Wanzhe Zhu
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Deepak Bhandari
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Víctor R De Jesús
- Tobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, 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, USA
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9
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Sibul F, Burkhardt T, Kachhadia A, Pilz F, Scherer G, Scherer M, Pluym N. Identification of biomarkers specific to five different nicotine product user groups: Study protocol of a controlled clinical trial. Contemp Clin Trials Commun 2021; 22:100794. [PMID: 34189337 PMCID: PMC8219643 DOI: 10.1016/j.conctc.2021.100794] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 02/09/2021] [Accepted: 05/23/2021] [Indexed: 01/03/2023] Open
Abstract
Background Assessing biomarker profiles in various body fluids is of large value to discern between the sole use of nicotine products. In particular, the assessment of the product compliance is required for long-term clinical studies. The objective of this study was the identification of biomarkers and biomarker patterns in body fluids, to distinguish between combustibles, heated tobacco products, electronic cigarettes, oral tobacco and oral/dermal nicotine products used for nicotine replacement therapy (NRT), as well as a control group of non-users. Methods A controlled, single-center study was conducted with 60 healthy subjects, divided into 6 groups (5 nicotine product user groups and one non-user group) based on their sole use of the products of choice. The subjects were confined for 76 h, during which, free and uncontrolled use of the products was provided. Sample collections were performed according to the study time schedule provided in Table 2. The primary outcome will be validated through analysis of the collected biospecimens (urine, blood, saliva, exhaled breath and exhaled breath condensate) by means of untargeted omics approaches (i.e. exposomics, breathomics and adductomics). Secondary outcome will include established biomarker quantification methods to allow for the identification of typical biomarker patterns. Statistical analysis tools will be used to specifically discriminate different product use categories. Results/Conclusions The clinical trial was successfully completed in May 2020, resulting in sample management and preparations for the quantitative and qualitative analyses. This work will serve as a solid basis to discern between biomarker profiles of different nicotine product user groups. The knowledge collected during this research will be required to develop prototype diagnostic tools that can reliably assess the differences and evaluate possible health risks of various nicotine products.
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Affiliation(s)
- Filip Sibul
- Analytisch-Biologisches Forschungslabor GmbH, Semmelweisstr. 5, 82152 Planegg, Germany
| | - Therese Burkhardt
- Analytisch-Biologisches Forschungslabor GmbH, Semmelweisstr. 5, 82152 Planegg, Germany
| | - Alpeshkumar Kachhadia
- Analytisch-Biologisches Forschungslabor GmbH, Semmelweisstr. 5, 82152 Planegg, Germany
| | - Fabian Pilz
- Analytisch-Biologisches Forschungslabor GmbH, Semmelweisstr. 5, 82152 Planegg, Germany
| | - Gerhard Scherer
- Analytisch-Biologisches Forschungslabor GmbH, Semmelweisstr. 5, 82152 Planegg, Germany
| | - Max Scherer
- Analytisch-Biologisches Forschungslabor GmbH, Semmelweisstr. 5, 82152 Planegg, Germany
| | - Nikola Pluym
- Analytisch-Biologisches Forschungslabor GmbH, Semmelweisstr. 5, 82152 Planegg, Germany
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10
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De Jesús VR, Zhang L, Bhandari D, Zhu W, Chang JT, Blount BC. Characterization of acrylonitrile exposure in the United States based on urinary n-acetyl-S-(2-cyanoethyl)-L-cysteine (2CYEMA): NHANES 2011-2016. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2021; 31:377-385. [PMID: 33424026 PMCID: PMC7954898 DOI: 10.1038/s41370-020-00286-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 11/11/2020] [Accepted: 12/04/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Acrylonitrile is a possible human carcinogen that is used in polymers and formed in tobacco smoke. We assessed acrylonitrile exposure in the US population by measuring its urinary metabolites N-acetyl-S-(4-hydroxy-2-methyl-2-buten-1-yl)-L-cysteine (2CYEMA) and N-acetyl-S-(1-cyano-2-hydroxyethyl)-L-cysteine (1CYHEMA) in participants from the 2011-2016 National Health and Nutrition Examination Survey. OBJECTIVE To assessed acrylonitrile exposure using population-based biomonitoring data of the US civilian, non-institutionalized population. METHODS Laboratory data for 8057 participants were reported for 2CYEMA and 1CYHEMA using ultrahigh-performance liquid chromatography/tandem mass spectrometry. Exclusive tobacco smokers were distinguished from non-users using a combination of self-reporting and serum cotinine data. We used multiple linear regression models to fit 2CYEMA concentrations with sex, age, race/Hispanic origin, and tobacco user group as predictor variables. RESULTS The median 2CYEMA level was higher for exclusive cigarette smokers (145 µg/g creatinine) than for non-users (1.38 µg/g creatinine). Compared to unexposed individuals (serum cotinine ≤0.015 ng/ml) and controlling for confounders, presumptive second-hand tobacco smoke exposure (serum cotinine >0.015 to ≤10 ng/ml and 0 cigarettes per day, CPD) was significantly associated with 36% higher 2CYEMA levels (p < 0.0001). Smoking 1-10 CPD was significantly associated with 6720% higher 2CYEMA levels (p < 0.0001). SIGNIFICANCE We show that tobacco smoke is an important source of acrylonitrile exposure in the US population and provide important biomonitoring data on acrylonitrile exposure.
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Affiliation(s)
- Víctor R De Jesús
- Centers for Disease Control and Prevention, Division of Laboratory Sciences, Tobacco and Volatiles Branch, Atlanta, GA, 30341, USA.
| | - Luyu Zhang
- Centers for Disease Control and Prevention, Division of Laboratory Sciences, Tobacco and Volatiles Branch, Atlanta, GA, 30341, USA
| | - Deepak Bhandari
- Centers for Disease Control and Prevention, Division of Laboratory Sciences, Tobacco and Volatiles Branch, Atlanta, GA, 30341, USA
| | - Wanzhe Zhu
- Centers for Disease Control and Prevention, Division of Laboratory Sciences, Tobacco and Volatiles Branch, Atlanta, GA, 30341, USA
| | - Joanne T Chang
- Office of Science, Center for Tobacco Products, US Food and Drug Administration, Silver Spring, MD, 20993, USA
| | - Benjamin C Blount
- Centers for Disease Control and Prevention, Division of Laboratory Sciences, Tobacco and Volatiles Branch, Atlanta, GA, 30341, USA
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11
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Luo X, Carmella SG, Chen M, Jensen JA, Wilkens LR, Le Marchand L, Hatsukami DK, Murphy SE, Hecht SS. Urinary Cyanoethyl Mercapturic Acid, a Biomarker of the Smoke Toxicant Acrylonitrile, Clearly Distinguishes Smokers From Nonsmokers. Nicotine Tob Res 2021; 22:1744-1747. [PMID: 32391548 DOI: 10.1093/ntr/ntaa080] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 05/05/2020] [Indexed: 12/22/2022]
Abstract
INTRODUCTION Cyanoethyl mercapturic acid (CEMA) is a urinary metabolite of acrylonitrile, a toxicant found in substantial quantities in cigarette smoke, but not in non-combusted products such as e-cigarettes or smokeless tobacco and rarely in the diet or in the general human environment. Thus, we hypothesized that CEMA is an excellent biomarker of combusted tobacco product use. AIMS AND METHODS We tested this hypothesis by analyzing CEMA in the urine of 1259 cigarette smokers (urinary cotinine ≥25 ng/mL) and 1191 nonsmokers. The analyses of CEMA and cotinine were performed by validated liquid chromatography-tandem mass spectrometry methods. Logistic regression was fit for log-transformed CEMA to construct the receiver operating characteristic curve. RESULTS We found that a CEMA cutpoint of 27 pmol/mL urine differentiated cigarette smokers from nonsmokers with sensitivity and specificity greater than 99%. The use of different cotinine cutpoints to define smokers (10-30 ng/mL) had little effect on the results. CONCLUSIONS CEMA is a highly reliable urinary biomarker to identify users of combusted tobacco products such as cigarettes as opposed to users of non-combusted products, medicinal nicotine, or nonusers of tobacco products. IMPLICATIONS CEMA can be used to distinguish users of combusted tobacco products from non-combusted products such as e-cigarettes, smokeless tobacco, and medicinal nicotine. Levels of CEMA in the urine of people who use these non-combusted products are extremely low, in contrast to cotinine.
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Affiliation(s)
- Xianghua Luo
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN
| | | | - Menglan Chen
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN
| | - Joni A Jensen
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN
| | | | | | | | - Sharon E Murphy
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN
| | - Stephen S Hecht
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN
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12
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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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13
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Abstract
Introduction: Urothelial carcinoma (UCC) develops in both humans and dogs and tracks to regions of high industrial activity. We hypothesize that dogs with UCC may act as sentinels for human urothelial carcinogen exposures. The aim of this pilot study was to determine whether healthy people and dogs in the same households share urinary exposures to potentially mutagenic chemical carcinogens. Methods: We measured urinary concentrations of acrolein (as its metabolite 3-HPMA), arsenic species, 4-aminobiphenyl, and 4-chlorophenol (a metabolite of the phenoxyherbicide 2,4-D) in healthy dogs and their owners. We assessed possible chemical sources through questionnaires and screened for urothelial DNA damage using the micronucleus assay. Results: Biomarkers of urinary exposure to acrolein, arsenic, and 4-chlorophenol were found in the urine of 42 pet dogs and 42 owners, with 4-aminobiphenyl detected sporadically. Creatinine-adjusted urinary chemical concentrations were significantly higher, by 2.8- to 6.2-fold, in dogs compared to humans. Correlations were found for 3-HPMA (r = 0.32, P = 0.04) and monomethylarsonic acid (r = 0.37, P = 0.02) between people and their dogs. Voided urothelial cell yields were inadequate to quantify DNA damage, and questionnaires did not reveal significant associations with urinary chemical concentrations. Conclusions: Healthy humans and pet dogs have shared urinary exposures to known mutagenic chemicals, with significantly higher levels in dogs. Higher urinary exposures to acrolein and arsenic in dogs correlate to higher exposures in their owners. Follow-up studies will assess the mutagenic potential of these levels in vitro and measure these biomarkers in owners of dogs with UCC.
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14
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Walker VE, Walker DM, Ghanayem BI, Douglas GR. Analysis of Biomarkers of DNA Damage and Mutagenicity in Mice Exposed to Acrylonitrile. Chem Res Toxicol 2020; 33:1623-1632. [PMID: 32529832 DOI: 10.1021/acs.chemrestox.0c00154] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Acrylonitrile (ACN), which is a widely used industrial chemical, induces cancers in the mouse via unresolved mechanisms. For this report, complementary and previously described methods were used to assess in vivo genotoxicity and/or mutagenicity of ACN in several mouse models, including (i) female mice devoid of cytochrome P450 2E1 (CYP2E1), which yields the epoxide intermediate cyanoethylene oxide (CEO), (ii) male lacZ transgenic mice, and (iii) female (wild-type) B6C3F1 mice. Exposures of wild-type mice and CYP2E1-null mice to ACN at 0, 2.5 (wild-type mice only), 10, 20, or 60 (CYP2E1-null mice only) mg/kg body weight by gavage for 6 weeks (5 days/week) produced no elevations in the frequencies of micronucleated erythrocytes, but induced significant dose-dependent increases in DNA damage, detected by the alkaline (pH >13) Comet assay, in one target tissue (forestomach) and one nontarget tissue (liver) of wild-type mice only. ACN exposures by gavage also caused significant dose-related elevations in the frequencies of mutations in the hypoxanthine-guanine phosphoribosyltransferase (Hprt) reporter gene of T-lymphocytes from spleens of wild-type mice; however, Hprt mutant frequencies were significantly increased in CYP2E1-null mice only at a high dose of ACN (60 mg/kg) that is lethal to wild-type mice. Similarly, drinking water exposures of lacZ transgenic mice to 0, 100, 500, or 750 ppm ACN for 4 weeks caused significant dose-dependent elevations in Hprt mutant frequencies in splenic T-cells; however, these ACN exposures did not increase the frequency of lacZ transgene mutations above spontaneous background levels in several tissues from the same animals. Together, the Comet assay and Hprt mutant frequency data from these studies indicate that oxidative metabolism of ACN by CYP2E1 to CEO is central to the induction of the majority of DNA damage and mutations in ACN-exposed mice, but ACN itself also may contribute to the carcinogenic modes of action via mechanisms involving direct and/or indirect DNA reactivity.
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Affiliation(s)
- Vernon E Walker
- Wadsworth Center, New York State Department of Health, Albany, New York 12201, United States.,Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, Vermont 05405, United States.,The Burlington HC Research Group, Inc., Jericho, Vermont 05465, United States
| | - Dale M Walker
- The Burlington HC Research Group, Inc., Jericho, Vermont 05465, United States.,Experimental Pathology Laboratories, Sterling, Virginia 20167, United States
| | - Burhan I Ghanayem
- National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709, United States
| | - George R Douglas
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario K1A 0K9, Canada
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15
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Carroll DM, Murphy SE, Benowitz NL, Strasser AA, Kotlyar M, Hecht SS, Carmella SG, McClernon FJ, Pacek LR, Dermody SS, Vandrey RG, Donny EC, Hatsukami DK. Relationships between the Nicotine Metabolite Ratio and a Panel of Exposure and Effect Biomarkers: Findings from Two Studies of U.S. Commercial Cigarette Smokers. Cancer Epidemiol Biomarkers Prev 2020; 29:871-879. [PMID: 32051195 DOI: 10.1158/1055-9965.epi-19-0644] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 08/23/2019] [Accepted: 01/24/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND We examined the nicotine metabolite ratio's (NMR) relationship with smoking intensity, nicotine dependence, and a broad array of biomarkers of exposure and biological effect in commercial cigarette smokers. METHODS Secondary analysis was conducted on two cross-sectional samples of adult, daily smokers from Wave 1 (2013-2014) of the Population Assessment of Tobacco Use and Health (PATH) Study and baseline data from a 2014-2017 randomized clinical trial. Data were restricted to participants of non-Hispanic, white race. The lowest quartile of NMR (<0.26) in the nationally representative PATH Study was used to distinguish slow from normal/fast nicotine metabolizers. NMR was modeled continuously in secondary analysis. RESULTS Compared with slow metabolizers, normal/fast metabolizers had greater cigarettes per day and higher levels of total nicotine equivalents, tobacco-specific nitrosamines, volatile organic componds, and polycyclic aromatic hydrocarbons. A novel finding was higher levels of inflammatory biomarkers among normal/fast metabolizers versus slow metabolizers. With NMR modeled as a continuous measure, the associations between NMR and biomarkers of inflammation were not significant. CONCLUSIONS The results are suggestive that normal/fast nicotine metabolizers may be at increased risk for tobacco-related disease due to being heavier smokers, having higher exposure to numerous toxicants and carcinogens, and having higher levels of inflammation when compared with slow metabolizers. IMPACT This is the first documentation that NMR is not only associated with smoking exposure but also biomarkers of biological effects that are integral in the development of tobacco-related disease. Results provide support for NMR as a biomarker for understanding a smoker's exposure and potential risk for tobacco-related disease.
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Affiliation(s)
- Dana M Carroll
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota. .,Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Sharon E Murphy
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
| | - Neal L Benowitz
- Clinical Pharmacology Program, Division of Cardiology, Department of Medicine, University of California, San Francisco, California
| | - Andrew A Strasser
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Michael Kotlyar
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota.,Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota
| | - Stephen S Hecht
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
| | - Steve G Carmella
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
| | - Francis J McClernon
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Lauren R Pacek
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Sarah S Dermody
- School of Psychological Science, Oregon State University, Corvallis, Oregon
| | - Ryan G Vandrey
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, Maryland
| | - Eric C Donny
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, North Carolina
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16
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Hatsukami DK, Luo X, Heskin AK, Tang MK, Carmella SG, Jensen J, Robinson JD, Vandrey R, Drobes DJ, Strasser AA, al’Absi M, Leischow S, Cinciripini PM, Koopmeiners J, Ikuemonisan J, Benowitz NL, Donny EC, Hecht SS. Effects of immediate versus gradual nicotine reduction in cigarettes on biomarkers of biological effects. Addiction 2019; 114:1824-1833. [PMID: 31140663 PMCID: PMC6732016 DOI: 10.1111/add.14695] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 12/19/2018] [Accepted: 05/21/2019] [Indexed: 12/27/2022]
Abstract
AIM A previous study showed significantly greater reductions in number of cigarettes smoked and biomarkers of toxicant and carcinogen exposure in smokers assigned to immediate reduction of nicotine in cigarettes to very low levels versus gradually over time or continued smoking of normal nicotine content cigarettes. This study examines the effects of these approaches on selected biomarkers associated with harmful biological effects. DESIGN Three-arm, randomized controlled trial. SETTING Ten United States academic institutional sites. PARTICIPANTS Daily smokers uninterested in quitting smoking with a mean age of 45.1 [standard deviation (SD) = 13.4)] years and smoking 17.1 (SD = 8.5) cigarettes/day; 43.9% (549 of 1250) female; 60.6% (758 of 1250) white ethnicity. INTERVENTIONS (1) Smoking cigarettes where nicotine content was immediately reduced to very low levels (n = 503); (2) smoking cigarettes where nicotine content was gradually reduced, with dose changes occurring monthly (n = 498); and (3) continued smoking with normal nicotine content cigarettes (n = 249). MEASUREMENTS Smokers were assessed at baseline while smoking their usual brand cigarettes, and again at 4, 8, 12, 16 and 20 weeks. Outcomes were areas under the concentration time curve (AUC) for the period of study of biomarkers of inflammation, oxidative stress and hematological parameters. FINDINGS No consistent significant differences were observed across groups (Bayes factors showing data to be insensitive), with the only exception being red blood cell size variability, which was observed to be lower in the immediate versus gradual nicotine reduction [mean difference = -0.11; 95% confidence interval (CI) = -0.18, -0.04, P = 0.004] and normal nicotine control groups (mean difference = - 0.15, 95% CI = -0.23, -0.06, P = 0.001). CONCLUSION It remains unclear whether switching to very low nicotine cigarettes leads to a short-term reduction in biomarkers of tobacco-related harm.
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Affiliation(s)
- Dorothy K. Hatsukami
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA,Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Xianghua Luo
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA,Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Alisa K. Heskin
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Mei Kuen Tang
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | | | - Joni Jensen
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Jason D. Robinson
- University of Texas MD Anderson Cancer Center, Department of Behavioral Science, Houston, Texas, USA
| | - Ryan Vandrey
- Johns Hopkins University, Department of Psychiatry and Behavioral Sciences, Baltimore, Maryland, USA
| | - David j. Drobes
- Moffitt Cancer Center, Department of Health Outcomes and Behavior, Tampa, Florida, USA
| | - Andrew A. Strasser
- University of Pennsylvania, Department of Psychiatry, Philadelphia, Philadelphia, USA
| | - Mustafa al’Absi
- University of Minnesota Medical School, Behavioral Medicine Laboratories, Duluth, Minnesota
| | - Scott Leischow
- Mayo Clinic, Health Sciences Research, Scottsdale, Arizona, USA
| | - Paul M. Cinciripini
- University of Texas MD Anderson Cancer Center, Department of Behavioral Science, Houston, Texas, USA
| | - Joseph Koopmeiners
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | | | - Neal L. Benowitz
- University of California, Department of Medicine, San Francisco, California, USA
| | - Eric C. Donny
- Wake Forest School of Medicine, Department of Physiology and Pharmacology, Winston-Salem, North Carolina, USA
| | - Stephen S. Hecht
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
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17
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Chen JG, Johnson J, Egner P, Ng D, Zhu J, Wang JB, Xue XF, Sun Y, Zhang YH, Lu LL, Chen YS, Wu Y, Zhu YR, Carmella S, Hecht S, Jacobson L, Muñoz A, Kensler K, Rule A, Fahey J, Kensler T, Groopman J. Dose-dependent detoxication of the airborne pollutant benzene in a randomized trial of broccoli sprout beverage in Qidong, China. Am J Clin Nutr 2019; 110:675-684. [PMID: 31268126 PMCID: PMC6736426 DOI: 10.1093/ajcn/nqz122] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 05/10/2019] [Accepted: 05/27/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Airborne pollutants have collectively been classified as a known human carcinogen and, more broadly, affect the health of hundreds of millions of people worldwide. Benzene is a frequent component of air pollution, and strategies to protect individuals against unavoidable exposure to this and other airborne carcinogens could improve the public's health. Earlier clinical trials in Qidong, China, demonstrated efficacy in enhancing the detoxication of benzene using a broccoli sprout beverage. OBJECTIVES A randomized, placebo-controlled, multidose trial of a broccoli sprout beverage was designed to determine the lowest effective concentration that enhances benzene detoxication adjudged by enhanced excretion of the urinary biomarker, S-phenylmercapturic acid (SPMA). METHODS Following informed consent, 170 subjects were randomly assigned in 5 blocks of 34 each to drink either a placebo beverage (n = 55) or 1 of 3 graded concentrations of a broccoli sprout beverage [full (n = 25), one-half (n = 35), and one-fifth (n = 55)] for 10 consecutive days. Concentrations of SPMA arising through induced benzene conjugation with glutathione were quantified by MS in sequential 12-h overnight urine collections during the intervention. RESULTS MS was also used to quantify urinary sulforaphane metabolites in each dosing regimen that resulted in a median 24-h urinary output of 24.6, 10.3, and 4.3 µmol, respectively, confirming a dose-dependent de-escalation of the inducing principle within the beverage. A statistically significant increase in benzene mercapturic acids in urine was found for the high-dose group (+63.2%) during the 10-d period. The one-half dose (+11.3%) and one-fifth dose groups (-6.4%) were not significantly different from placebo controls. CONCLUSIONS An intervention with a broccoli sprout beverage enhanced the detoxication of benzene, an important airborne pollutant, when dosed at a concentration evoking a urinary elimination of ∼25 µmol sulforaphane metabolites per day, and it portends a practical and frugal population-based strategy to attenuate associated long-term health risks of air pollution. This trial was registered at clinicaltrials.gov as NCT02656420.
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Affiliation(s)
- Jian-Guo Chen
- Department of Epidemiology, Qidong Liver Cancer Institute, Qidong, China
| | - Jamie Johnson
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Patricia Egner
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Derek Ng
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jian Zhu
- Department of Epidemiology, Qidong Liver Cancer Institute, Qidong, China
| | - Jin-Bing Wang
- Department of Epidemiology, Qidong Liver Cancer Institute, Qidong, China
| | - Xue-Feng Xue
- Department of Epidemiology, Qidong Liver Cancer Institute, Qidong, China
| | - Yan Sun
- Department of Epidemiology, Qidong Liver Cancer Institute, Qidong, China
| | - Yong-Hui Zhang
- Department of Epidemiology, Qidong Liver Cancer Institute, Qidong, China
| | - Ling-Ling Lu
- Department of Epidemiology, Qidong Liver Cancer Institute, Qidong, China
| | - Yong-Sheng Chen
- Department of Epidemiology, Qidong Liver Cancer Institute, Qidong, China
| | - Yan Wu
- Department of Epidemiology, Qidong Liver Cancer Institute, Qidong, China
| | - Yuan-Rong Zhu
- Department of Epidemiology, Qidong Liver Cancer Institute, Qidong, China
| | - Steven Carmella
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Stephen Hecht
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Lisa Jacobson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Alvaro Muñoz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kevin Kensler
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Ana Rule
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jed Fahey
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA,Department of Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Thomas Kensler
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Department of Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA,Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - John Groopman
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Address correspondence to J-DG (e-mail: )
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18
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Carmella SG, Heskin AK, Tang MK, Jensen J, Luo X, Le CT, Murphy SE, Benowitz NL, McClernon FJ, Vandrey R, Allen SS, Denlinger-Apte R, Cinciripini PM, Strasser AA, al’Absi M, Robinson JD, Donny EC, Hatsukami DK, Hecht SS. Longitudinal stability in cigarette smokers of urinary eicosanoid biomarkers of oxidative damage and inflammation. PLoS One 2019; 14:e0215853. [PMID: 31022220 PMCID: PMC6483352 DOI: 10.1371/journal.pone.0215853] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Accepted: 04/09/2019] [Indexed: 12/14/2022] Open
Abstract
The urinary metabolites (Z)-7-[1R,2R,3R,5S)-3,5-dihydroxy-2-[(E,3S)-3-hydroxyoct-1-enyl]cyclopentyl]hept-5-enoic acid (8-iso-PGF2α), an F2-isoprostane and biomarker of oxidative damage, and "prostaglandin E2 metabolite" (PGE-M), a biomarker of inflammation, are elevated in cigarette smokers. However, there is little information in the literature on the longitudinal stability of these widely used biomarkers. In a large clinical trial involving 10 institutional sites, smokers were given, free of charge over a period of 20 weeks, Spectrum NRC600/601 research cigarettes containing 15.5 mg nicotine/g tobacco. All participants were instructed to smoke these cigarettes for the duration of the study. At weeks 4, 8, 12, 16, and 20, first morning urine voids were collected and analyzed for 8-iso-PGF2α and PGE-M using validated liquid chromatography-electrospray ionization-tandem mass spectrometry methods. The mean level of 8-iso-PGF2α at Week 4 was 1.34 ± 1.08 (S.D.) pmol/mg creatinine (N = 226) while that of PGE-M was 73.7 ± 113 (S.D.) pmol/mg creatinine (N = 232). The corresponding levels at Week 20 were 1.35 ± 0.93 (S.D.) pmol/mg creatinine (N = 209) for 8-iso-PGF2α and 74.2 ± 142 (S.D.) pmol/mg creatinine (N = 210) for PGE-M. There was variation in these values in the intervening weeks. The intra-class correlation coefficients (ICC) were 0.51 (95% CI, 0.45, 0.57) and 0.36 (0.30, 0.43), for 8-iso-PGF2α and PGE-M, respectively, indicating fair longitudinal stability for 8-iso-PGF2α and poorer longitudinal stability for PGE-M in cigarette smokers. Males had higher ICC values than females for both 8-iso-PGF2α and PGE-M. These results indicate that, in addition to cigarette smoking, endogenous processes of oxidative damage and inflammation influence the levels of these biomarkers over time among current smokers.
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Affiliation(s)
- Steven G. Carmella
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Alisa K. Heskin
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Mei Kuen Tang
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Joni Jensen
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Xianghua Luo
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, United States of America
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Chap T. Le
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, United States of America
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Sharon E. Murphy
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Neal L. Benowitz
- Department of Medicine, University of California San Francisco, San Francisco, California, United States of America
| | - F. Joseph McClernon
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, United States of America
| | - Ryan Vandrey
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Sharon S. Allen
- Department of Family Medicine and Community Health, University of Minnesota Medical School, Minneapolis, Minnesota, United States of America
| | - Rachel Denlinger-Apte
- Department of Behavioral and Social Sciences, Brown University, Providence, Rhode Island, United States of America
| | - Paul M. Cinciripini
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Andrew A. Strasser
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Mustafa al’Absi
- Behavioral Medicine Laboratories, University of Minnesota Medical School, Duluth, Minnesota, United States of America
| | - Jason D. Robinson
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Eric C. Donny
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America
| | - Dorothy K. Hatsukami
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Stephen S. Hecht
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, United States of America
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