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Murphy SE, Guillermo C, Thomson NM, Carmella SG, Wittmann M, Aldrich MC, Cai Q, Sullivan SM, Stram DO, Le Marchand L, Hecht SS, Blot WJ, Park SL. Association of Urinary Biomarkers of Tobacco Exposure with Lung Cancer Risk in African American and White Cigarette Smokers in the Southern Community Cohort Study. Cancer Epidemiol Biomarkers Prev 2024; 33:1073-1082. [PMID: 38780906 PMCID: PMC11299762 DOI: 10.1158/1055-9965.epi-23-1362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 01/05/2024] [Accepted: 05/21/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND After accounting for smoking history, lung cancer incidence is greater in African Americans than Whites. In the multiethnic cohort, total nicotine equivalents (TNE) are higher in African Americans than Whites at similar reported cigarettes per day. Greater toxicant uptake per cigarette may contribute to the greater lung cancer risk of African Americans. METHODS In a nested case-control lung cancer study within the Southern Community Cohort, smoking-related biomarkers were measured in 259 cases and 503 controls (40% White; 56% African American). TNE, the trans-3-hydroxycotinine/cotinine ratio, 4-(methylnitrosamino)-1-3-(pyridyl)-1-butanol (NNAL), mercapturic acid metabolites of volatile organic compounds, phenanthrene metabolites, cadmium (Cd), and (Z)-7-(1R,2R,3R,5S)-3,5-dihydroxy-2-[(E,3S)-3-hydroxyoct-1-enyl]cyclopenyl]hept-5-enoic acid were quantified in urine. Unconditional logistic regression was used to estimate the ORs and 95% confidence intervals (CI) for each biomarker and lung cancer risk. RESULTS TNE, NNAL, and Cd were higher in cases than controls (adjusted for age, race, sex, body mass index, and cigarettes per day). Among cases, these levels were higher in African Americans compared with Whites. After accounting for age, sex, body mass index, and pack-years, a one-SD increase in log-TNE (OR = 1.30; 95% CI, 1.10-1.54) and log-NNAL (OR = 1.27; 95% CI, 1.03-1.58 with TNE adjustment) was associated with lung cancer risk. In this study, in which NNAL concentration is relatively high, the association for log-TNE was attenuated after adjustment for log-NNAL. CONCLUSIONS Smoking-related biomarkers provide additional information for lung cancer risk in smokers beyond smoking pack-years. IMPACT Urinary NNAL, TNE, and Cd concentrations in current smokers, particularly African American smokers, may be useful for predicting lung cancer risk.
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Affiliation(s)
- Sharon E. Murphy
- Department of Biochemistry Molecular Biology and Biophysics and Masonic Cancer Center, University of Minnesota, Minneapolis MN
| | - Cherie Guillermo
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | | | | | - Milo Wittmann
- Masonic Cancer Center, University of Minnesota, Minneapolis MN, USA
| | - Melinda C. Aldrich
- Division of Genetic Medicine, Department of Medicine. Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Daniel O. Stram
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Stephen S. Hecht
- Masonic Cancer Center, University of Minnesota, Minneapolis MN, USA
| | - William J. Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - S. Lani Park
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
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2
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Ström A, Stenlund H, Ohlsson B. The Metabolomic Profile of Microscopic Colitis Is Affected by Smoking but Not Histopathological Diagnosis, Clinical Course, Symptoms, or Treatment. Metabolites 2024; 14:303. [PMID: 38921438 PMCID: PMC11205623 DOI: 10.3390/metabo14060303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 05/23/2024] [Accepted: 05/24/2024] [Indexed: 06/27/2024] Open
Abstract
Microscopic colitis (MC) is classified as collagenous colitis (CC) and lymphocytic colitis (LC). Genetic associations between CC and human leucocyte antigens (HLAs) have been found, with smoking being a predisposing external factor. Smoking has a great impact on metabolomics. The aim of this explorative study was to analyze global metabolomics in MC and to examine whether the metabolomic profile differed regarding the type and course of MC, the presence of IBS-like symptoms, treatment, and smoking habits. Of the 240 identified women with MC aged ≤73 years, 131 completed the study questionnaire; the Rome III questionnaire; and the Visual Analog Scale for Irritable Bowel Syndrome (VAS-IBS). Blood samples were analyzed by ultra-high-performance liquid chromatograph mass spectrometry (UHLC-MS/UHPLC-MSMS). The women, 63.1 (58.7-67.2) years old, were categorized based on CC (n = 76) and LC (n = 55); one episode or refractory MC; IBS-like symptoms or not; use of corticosteroids or not; and smoking habits. The only metabolomic differences found in the univariate model after adjustment for false discovery rate (FDR) were between smokers and non-smokers. Serotonin was markedly increased in smokers (p < 0.001). No clear patterns appeared when conducting a principal component analysis (PCA). No differences in the metabolomic profile were found depending on the type or clinical course of the disease, neither in the whole MC group nor in the subgroup analysis of CC.
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Affiliation(s)
- Axel Ström
- Clinical Studies Sweden—Forum South, Skåne University Hospital, 22185 Lund, Sweden;
| | - Hans Stenlund
- Umeå Plant Science Centre (UPSC), Department of Plant Physiology, Umeå University, 90187 Umeå, Sweden;
| | - Bodil Ohlsson
- Department of Clinical Scineces, Lund University, 22100 Lund, Sweden
- Department of Internal Medicine, Skane University Hospital, 20502 Malmö, Sweden
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3
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Chen KM, Sun YW, Krebs NM, Reinhart L, Sun D, Liao J, Cook R, Bond PE, Mallery SR, El-Bayoumy K. The Effects of Black Raspberry as a Whole Food-Based Approach on Biomarkers of Oxidative Stress in Buccal Cells and Urine of Smokers. Cancer Prev Res (Phila) 2024; 17:157-167. [PMID: 38286439 PMCID: PMC10987264 DOI: 10.1158/1940-6207.capr-23-0153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 12/12/2023] [Accepted: 01/26/2024] [Indexed: 01/31/2024]
Abstract
Cigarette smoke is a rich source of free radicals that can promote oxidative stress and carcinogenesis, including head and neck squamous cell carcinoma (HNSCC) development; importantly, 8-oxo-7,8-dihydro-2'-deoxyguanosine (8-oxodG) and 8-iso-prostaglandin F2α (8-isoprostane) are biomarkers of oxidative stress. Several mechanisms, including the antioxidant properties of black raspberry (BRB), account for their chemopreventive effects. In the present clinical trial, we tested the hypothesis that BRB administration reduces biomarkers levels of oxidative stress in buccal cells and urine of smokers. One week after enrolling 21 smokers, baseline buccal cells and urine samples were collected before the administration of BRB lozenges for 8 weeks (5/day, 1 gm BRB/lozenge). Buccal cells and urine samples were collected at the middle and the end of BRB administration. The last samples were collected after the BRB cessation (washout period). We analyzed levels of 8-oxodG and 8-isoprostane (LC/MS-MS), urinary cotinine (ELISA), and creatinine (spectrophotometry). BRB significantly reduced the levels of 8-oxodG by 17.08% (P = 0.00079) in buccal cells and 12.44% (P = 0.034) in urine at the middle of BRB administration as compared with baseline; the corresponding values at the end of BRB administration were 16.46% (P = 0.026) in buccal cells and 25.72% (P = 0.202) in urine. BRB had no significant effect on the levels of urinary 8-isoprostane. BRB's capacity to inhibit 8-oxodG formation of smokers' buccal cells and urine is clearly evident and the reduction in 8-oxodG suggests that antioxidant abilities are central to BRB's HNSCC chemopreventive properties. PREVENTION RELEVANCE Cigarette smoke contains highly active components namely free radicals that can promote oxidative stress and oral cancer. We found that black raspberry (BRB) inhibited the formation of oxidative stress markers in the oral cavity and urine of smokers suggesting the antioxidant abilities of BRB in preventing oral cancer.
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Affiliation(s)
- Kun-Ming Chen
- Department of Biochemistry and Molecular Biology, Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - Yuan-Wan Sun
- Department of Biochemistry and Molecular Biology, Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - Nicolle M Krebs
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - Lisa Reinhart
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - Dongxiao Sun
- Department of Pharmacology, Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - Jiangang Liao
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - Rachel Cook
- Undergraduate Student, Pennsylvania State University, University Park, Pennsylvania
| | - Paige Elizabeth Bond
- Department of Biochemistry and Molecular Biology, Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - Susan R Mallery
- Division of Oral Maxillofacial Pathology, College of Dentistry, Ohio State University, Columbus, Ohio
| | - Karam El-Bayoumy
- Department of Biochemistry and Molecular Biology, Pennsylvania State University College of Medicine, Hershey, Pennsylvania
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4
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Nobles CJ, Mendola P, Mumford SL, Silver RM, Kim K, Perkins NJ, Schisterman EF. The Relationship of Preconception and Early Pregnancy Isoprostanes with Fecundability and Pregnancy Loss. Epidemiology 2023; 34:759-766. [PMID: 37255247 PMCID: PMC10525006 DOI: 10.1097/ede.0000000000001631] [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] [Indexed: 06/01/2023]
Abstract
BACKGROUND Although redox stress likely plays an important role in reproductive health, the utility of peripheral biomarkers of oxidative stress, such as isoprostanes, during the periconception period remains underexplored. We evaluated the relationship between isoprostanes during preconception and gestational week 4 and women's reproductive health outcomes. METHODS The Effects of Aspirin in Gestation and Reproduction trial (2007-2011) enrolled 1228 women attempting pregnancy and followed them for up to 6 menstrual cycles and throughout pregnancy if they became pregnant. We measured creatinine-adjusted, log-transformed isoprostanes 8-iso-prostaglandin F 2α (8-iso-PGF2α), its metabolite 2,3-dinor-iPF2α-III, and stereoisomers 5-iso-PGF2α-VI and 8,12-iso-iPF2α-VI in urine during preconception and 4 weeks gestation. We evaluated pregnancy among participants in each menstrual cycle using human chorionic gonadotropin (hCG) and defined pregnancy loss as observed loss following positive hCG. We calculated fecundability odds ratios (FOR) and 95% confidence intervals (CI) using discrete-time Cox proportional hazards models and relative risk of pregnancy loss using adjusted log-binomial models. RESULTS Higher preconception isoprostane levels were associated with lower fecundability [e.g., FOR = 0.89; 95% CI = 0.81, 0.97 per interquartile range (IQR) increase in 8-iso-PGF2α]. Among 797 pregnancies, isoprostane levels increased from preconception to 4 weeks gestation (e.g., mean difference = 0.12; 95% CI = 0.10, 0.14 ng/mL for 8-iso-PGF2α) and higher isoprostanes at 4 weeks gestation were associated with lower risk of pregnancy loss (e.g., RR = 0.79; 95% CI = 0.62, 1.00 per IQR increase in 8-iso-PGF2α). CONCLUSIONS Preconception urinary isoprostanes may identify redox stress pathways associated with lower fecundability. However, the increase in isoprostanes into gestational week 4 and the associated lower risk of pregnancy loss may suggest confounding by latent factors in early pregnancy.
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Affiliation(s)
- Carrie J. Nobles
- Department of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, United States, 01003
| | - Pauline Mendola
- Present address: Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, United States, 14214
| | - Sunni L. Mumford
- Present address: Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, United States, 19104
| | - Robert M. Silver
- Department of Obstetrics and Gynecology, University of Utah School of Medicine, Salt Lake City, UT, United States, 84132
| | - Keewan Kim
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD, United States, 20817
| | - Neil J. Perkins
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD, United States, 20817
| | - Enrique F. Schisterman
- Present address: Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, United States, 19104
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5
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Cigan SS, Murphy SE, Stram DO, Hecht SS, Le Marchand L, Stepanov I, Park SL. Association of Urinary Biomarkers of Smoking-Related Toxicants with Lung Cancer Incidence in Smokers: The Multiethnic Cohort Study. Cancer Epidemiol Biomarkers Prev 2023; 32:306-314. [PMID: 36350738 PMCID: PMC9992134 DOI: 10.1158/1055-9965.epi-22-0569] [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: 05/16/2022] [Revised: 08/09/2022] [Accepted: 11/02/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND While cigarette smoking is the leading cause of lung cancer, the majority of smokers do not develop the disease over their lifetime. The inter-individual differences in risk among smokers may in part be due to variations in exposure to smoking-related toxicants. METHODS Using data from a subcohort of 2,309 current smokers at the time of urine collection from the Multiethnic Cohort Study, we prospectively evaluated the association of ten urinary biomarkers of smoking-related toxicants [total nicotine equivalents (TNE), a ratio of total trans-3'-hydroxycotinine (3-HCOT)/cotinine (a phenotypic measure of CYP2A6 enzymatic activity), 4-(methylnitrosamino)-1-3-(pyridyl)-1-butanol (NNAL), S-phenylmercapturic acid (SPMA), 3-hydroxypropyl mercapturic acid (3-HPMA), phenanthrene tetraol (PheT), 3-hydroxyphenanthrene (PheOH), the ratio of PheT/PheOH, cadmium (Cd), and (Z)-7-(1R,2R,3R,5S)-3,5-dihydroxy-2-[(E,3S)-3-hydroxyoct-1-enyl]cyclopenyl]hept-5-enoic acid (8-iso-PGF2α)] with lung cancer risk (n = 140 incident lung cancer cases over an average of 13.4 years of follow-up). Lung cancer risk was estimated using Cox proportional hazards models. RESULTS After adjusting for decade of birth, sex, race/ethnicity, body mass index, self-reported pack-years, creatinine, and urinary TNE (a biomarker of internal smoking dose), a one SD increase in log total 3-HCOT/cotinine (HR, 1.33; 95% CI, 1.06-1.66), 3-HPMA (HR, 1.41; 95% CI, 1.07-1.85), and Cd (HR, 1.45; 95% CI, 1.18-1.79) were each associated with increased lung cancer risk. CONCLUSIONS Our study demonstrates that urinary total 3-HCOT/cotinine, 3-HPMA, and Cd are positively associated with lung cancer risk. These findings warrant replication and consideration as potential biomarkers for smoking-related lung cancer risk. IMPACT These biomarkers may provide additional information on lung cancer risk that is not captured by self-reported smoking history or TNE. See related commentary by Etemadi et al., p. 289.
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Affiliation(s)
- Shannon S. Cigan
- Department of Pediatrics, Division of Epidemiology and Clinical Research, University of Minnesota, Minneapolis, MN 55455, United States of America
- Division of Environmental Health Sciences, University of Minnesota, Minneapolis MN 55455, United States of America
| | - Sharon E. Murphy
- Masonic Cancer Center, University of Minnesota, Minneapolis MN 55455, United States of America
| | - Daniel O. Stram
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, United States of America
| | - Stephen S. Hecht
- Masonic Cancer Center, University of Minnesota, Minneapolis MN 55455, United States of America
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, United States of America
| | - Irina Stepanov
- Division of Environmental Health Sciences, University of Minnesota, Minneapolis MN 55455, United States of America
- Masonic Cancer Center, University of Minnesota, Minneapolis MN 55455, United States of America
| | - Sungshim L. Park
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, United States of America
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6
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Kolmert J, Gómez C, Balgoma D, Sjödin M, Bood J, Konradsen JR, Ericsson M, Thörngren JO, James A, Mikus M, Sousa AR, Riley JH, Bates S, Bakke PS, Pandis I, Caruso M, Chanez P, Fowler SJ, Geiser T, Howarth P, Horváth I, Krug N, Montuschi P, Sanak M, Behndig A, Shaw DE, Knowles RG, Holweg CTJ, Wheelock ÅM, Dahlén B, Nordlund B, Alving K, Hedlin G, Chung KF, Adcock IM, Sterk PJ, Djukanovic R, Dahlén SE, Wheelock CE. Urinary Leukotriene E 4 and Prostaglandin D 2 Metabolites Increase in Adult and Childhood Severe Asthma Characterized by Type 2 Inflammation. A Clinical Observational Study. Am J Respir Crit Care Med 2021; 203:37-53. [PMID: 32667261 PMCID: PMC7781128 DOI: 10.1164/rccm.201909-1869oc] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Rationale: New approaches are needed to guide personalized treatment of asthma.Objectives: To test if urinary eicosanoid metabolites can direct asthma phenotyping.Methods: Urinary metabolites of prostaglandins (PGs), cysteinyl leukotrienes (CysLTs), and isoprostanes were quantified in the U-BIOPRED (Unbiased Biomarkers for the Prediction of Respiratory Diseases Outcomes) study including 86 adults with mild-to-moderate asthma (MMA), 411 with severe asthma (SA), and 100 healthy control participants. Validation was performed internally in 302 participants with SA followed up after 12-18 months and externally in 95 adolescents with asthma.Measurement and Main Results: Metabolite concentrations in healthy control participants were unrelated to age, body mass index, and sex, except for the PGE2 pathway. Eicosanoid concentrations were generally greater in participants with MMA relative to healthy control participants, with further elevations in participants with SA. However, PGE2 metabolite concentrations were either the same or lower in male nonsmokers with asthma than in healthy control participants. Metabolite concentrations were unchanged in those with asthma who adhered to oral corticosteroid treatment as documented by urinary prednisolone detection, whereas those with SA treated with omalizumab had lower concentrations of LTE4 and the PGD2 metabolite 2,3-dinor-11β-PGF2α. High concentrations of LTE4 and PGD2 metabolites were associated with lower lung function and increased amounts of exhaled nitric oxide and eosinophil markers in blood, sputum, and urine in U-BIOPRED participants and in adolescents with asthma. These type 2 (T2) asthma associations were reproduced in the follow-up visit of the U-BIOPRED study and were found to be as sensitive to detect T2 inflammation as the established biomarkers.Conclusions: Monitoring of urinary eicosanoids can identify T2 asthma and introduces a new noninvasive approach for molecular phenotyping of adult and adolescent asthma.Clinical trial registered with www.clinicaltrials.gov (NCT01976767).
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Affiliation(s)
- Johan Kolmert
- The Institute of Environmental Medicine.,Division of Physiological Chemistry II, Department of Medical Biochemistry and Biophysics.,The Center for Allergy Research
| | - Cristina Gómez
- The Institute of Environmental Medicine.,Division of Physiological Chemistry II, Department of Medical Biochemistry and Biophysics.,The Center for Allergy Research
| | - David Balgoma
- The Institute of Environmental Medicine.,Division of Physiological Chemistry II, Department of Medical Biochemistry and Biophysics.,The Center for Allergy Research
| | - Marcus Sjödin
- The Institute of Environmental Medicine.,Division of Physiological Chemistry II, Department of Medical Biochemistry and Biophysics.,The Center for Allergy Research
| | - Johan Bood
- The Institute of Environmental Medicine.,The Center for Allergy Research.,Department of Women's and Children's Health, and
| | - Jon R Konradsen
- The Center for Allergy Research.,Respiratory Medicine Unit, Department of Medicine, Solna Campus, and Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Medicine and
| | - Magnus Ericsson
- Department of Clinical Pharmacology, Huddinge Campus, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - John-Olof Thörngren
- Department of Clinical Pharmacology, Huddinge Campus, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Anna James
- The Institute of Environmental Medicine.,The Center for Allergy Research
| | - Maria Mikus
- The Institute of Environmental Medicine.,The Center for Allergy Research
| | - Ana R Sousa
- Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - John H Riley
- Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Stewart Bates
- Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | | | - Ioannis Pandis
- Institute of Medicine, University of Bergen, Bergen, Norway
| | - Massimo Caruso
- National Heart and Lung Institute and Department of Computing & Data Science Institute, Imperial College London, London, United Kingdom.,Department of Clinical and Experimental Medicine and
| | - Pascal Chanez
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Stephen J Fowler
- Clinique des Bronches, Allergies et Sommeil, Aix Marseille Université, Assistance Publique des Hôpitaux de Marseille, Marseille, France
| | - Thomas Geiser
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, and Manchester Academic Health Science Centre and National Institute for Health Research Biomedical Research Centre, Manchester University Hospitals National Health Service Foundation Trust, Manchester, United Kingdom
| | - Peter Howarth
- Department of Pulmonary Medicine, University Hospital Bern, Bern, Switzerland
| | - Ildikó Horváth
- Faculty of Medicine, Southampton University, and National Institute for Health Research Southampton Respiratory Biomedical Research Center, University Hospital Southampton, Southampton, United Kingdom
| | - Norbert Krug
- Department of Pulmonology, Semmelweis University, Budapest, Hungary
| | - Paolo Montuschi
- Fraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany
| | - Marek Sanak
- Department of Pharmacology, Catholic University of the Sacred Heart, and Agostino Gemelli University Hospital Foundation, IRCCS, Rome, Italy
| | - Annelie Behndig
- Department of Internal Medicine, Medical College, Jagiellonian University, Cracow, Poland
| | - Dominick E Shaw
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Richard G Knowles
- Nottingham National Institute for Health Research Biomedical Research Centre, University of Nottingham, United Kingdom
| | - Cécile T J Holweg
- Knowles Consulting, Stevenage Bioscience Catalyst, Stevenage, United Kingdom
| | | | - Barbro Dahlén
- The Center for Allergy Research.,Department of Women's and Children's Health, and
| | - Björn Nordlund
- Respiratory Medicine Unit, Department of Medicine, Solna Campus, and Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Medicine and
| | - Kjell Alving
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden; and
| | - Gunilla Hedlin
- The Center for Allergy Research.,Respiratory Medicine Unit, Department of Medicine, Solna Campus, and Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Medicine and
| | - Kian Fan Chung
- Institute of Medicine, University of Bergen, Bergen, Norway
| | - Ian M Adcock
- Institute of Medicine, University of Bergen, Bergen, Norway
| | - Peter J Sterk
- Department of Respiratory Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Ratko Djukanovic
- Department of Pulmonary Medicine, University Hospital Bern, Bern, Switzerland
| | - Sven-Erik Dahlén
- The Institute of Environmental Medicine.,The Center for Allergy Research
| | - Craig E Wheelock
- Division of Physiological Chemistry II, Department of Medical Biochemistry and Biophysics.,The Center for Allergy Research
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7
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Andries A, Rozenski J, Vermeersch P, Mekahli D, Van Schepdael A. Recent progress in the LC-MS/MS analysis of oxidative stress biomarkers. Electrophoresis 2020; 42:402-428. [PMID: 33280143 DOI: 10.1002/elps.202000208] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 11/17/2020] [Accepted: 11/30/2020] [Indexed: 12/12/2022]
Abstract
The presence of a dynamic and balanced equilibrium between the production of reactive oxygen (ROS) and nitrogen (RNS) species and the in-house antioxidant defense mechanisms is characteristic for a healthy body. During oxidative stress (OS), this balance is switched to increased production of ROS and RNS, exceeding the capacity of physiological antioxidant systems. This can cause damage to biological molecules, leading to loss of function and even cell death. Nowadays, there is increasing scientific and clinical interest in OS and the associated parameters to measure the degree of OS in biofluids. An increasing number of reports using LC-MS/MS methods for the analysis of OS biomarkers can be found. Since bioanalysis is usually complicated by matrix effects, various types of cleanup procedures are used to effectively separate the biomarkers from the matrix. This is an essential part of the analysis to prepare a reproducible and homogenous solution suitable for injection onto the column. The present review gives a summary of the chromatographic methods used for the determination of OS biomarkers in both urine and plasma, serum, and whole blood samples. The first part mainly describes the biological background of the different OS biomarkers, while the second part reports examples of chromatographic methods for the analysis of different metabolites connected with OS in biofluids, covering a period from 2015 till early 2020. The selected examples mainly include LC-MS/MS methods for isoprostanes, oxidized proteins, oxidized lipoproteins, and DNA/RNA biomarkers. The last part explains the clinical relevance of this review.
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Affiliation(s)
- Asmin Andries
- Department of Pharmaceutical and Pharmacological Sciences, Pharmaceutical Analysis, KU Leuven - University of Leuven, Leuven, Belgium
| | - Jef Rozenski
- KU Leuven - Rega Institute for Medical Research, Medicinal Chemistry, Leuven, Belgium
| | - Pieter Vermeersch
- Clinical Department of Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium.,Center for Metabolic Diseases, University Hospitals Leuven, Leuven, Belgium
| | - Djalila Mekahli
- Department of Development and Regeneration, Laboratory of Pediatrics, PKD group, KU Leuven - University of Leuven, Leuven, Belgium.,Department of Pediatric Nephrology, University Hospitals Leuven, Leuven, Belgium
| | - Ann Van Schepdael
- Department of Pharmaceutical and Pharmacological Sciences, Pharmaceutical Analysis, KU Leuven - University of Leuven, Leuven, Belgium
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8
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Luo K, Carmella SG, Zhao Y, Tang MK, Hecht SS. Identification and quantification of phenanthrene ortho-quinones in human urine and their association with lipid peroxidation. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 266:115342. [PMID: 32805605 PMCID: PMC8892176 DOI: 10.1016/j.envpol.2020.115342] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 07/11/2020] [Accepted: 07/28/2020] [Indexed: 06/11/2023]
Abstract
Although human exposure to polycyclic aromatic hydrocarbons (PAH) has been associated with in vivo oxidative damage, and hydroxyPAH metabolites have been used as biomarkers to assess PAH-induced oxidative stress, few studies have looked at the likely causative compounds for oxidative stress in humans - PAH quinones. We developed a method using pre-column derivatization - liquid chromatography-heated electrospray ionization-tandem mass spectrometry (LC-HESI-MS/MS) to analyze ortho-phenanthrene quinones (PheQs) in human urine. 1,2-PheQ and 3,4-PheQ were identified and quantified in 3 mL of human urine; their total concentrations were higher in cigarette smokers (0.79 ± 0.98 nmol/6h urine) than in nonsmokers (0.20 ± 0.98 nmol/6h urine) (p < 0.01). The total of 1,2-PheQ and 3,4-PheQ were more strongly correlated with urinary (Z)-7-[1R,2R,3R,5S)-3,5-dihydroxy-2-[(E,3S)-3-hydroxyoct-1-enyl]cyclopentyl]hept-5-enoic acid (8-iso-PGF2α), a biomarker of lipid peroxidation (R2 = 0.53, p < 0.001), than the other phenanthrene metabolites including phenanthrene tetraol (PheT), phenanthrene-1,2-dihydrodiol (1,2-PheD), and total phenanthrene phenols (OHPhe), consistent with the concept that PheQs and likely other PAH quinones play a causal role in the generation of reactive oxygen species (ROS) in humans. Thus, PheQs may be suitable as biomarkers to assess human exposure to oxygenated PAH and the subsequent oxidative damage. This study provides unique support, by analysis of human urinary metabolites, for the PAH quinone mediated oxidative damage hypothesis of PAH carcinogenesis.
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Affiliation(s)
- Kai Luo
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
| | - Steven G Carmella
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Yingchun Zhao
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Mei Kuen Tang
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Stephen S Hecht
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
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9
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Bian T, Corral P, Wang Y, Botello J, Kingston R, Daniels T, Salloum RG, Johnston E, Huo Z, Lu J, Liu AC, Xing C. Kava as a Clinical Nutrient: Promises and Challenges. Nutrients 2020; 12:E3044. [PMID: 33027883 PMCID: PMC7600512 DOI: 10.3390/nu12103044] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 09/21/2020] [Accepted: 09/25/2020] [Indexed: 12/20/2022] Open
Abstract
Kava beverages are typically prepared from the root of Piper methysticum. They have been consumed among Pacific Islanders for centuries. Kava extract preparations were once used as herbal drugs to treat anxiety in Europe. Kava is also marketed as a dietary supplement in the U.S. and is gaining popularity as a recreational drink in Western countries. Recent studies suggest that kava and its key phytochemicals have anti-inflammatory and anticancer effects, in addition to the well-documented neurological benefits. While its beneficial effects are widely recognized, rare hepatotoxicity had been associated with use of certain kava preparations, but there are no validations nor consistent mechanisms. Major challenges lie in the diversity of kava products and the lack of standardization, which has produced an unmet need for quality initiatives. This review aims to provide the scientific community and consumers, as well as regulatory agencies, with a broad overview on kava use and its related research. We first provide a historical background for its different uses and then discuss the current state of the research, including its chemical composition, possible mechanisms of action, and its therapeutic potential in treating inflammatory and neurological conditions, as well as cancer. We then discuss the challenges associated with kava use and research, focusing on the need for the detailed characterization of kava components and associated risks such as its reported hepatotoxicity. Lastly, given its growing popularity in clinical and recreational use, we emphasize the urgent need for quality control and quality assurance of kava products, pharmacokinetics, absorption, distribution, metabolism, excretion, and foundational pharmacology. These are essential in order to inform research into the molecular targets, cellular mechanisms, and creative use of early stage human clinical trials for designer kava modalities to inform and guide the design and execution of future randomized placebo controlled trials to maximize kava's clinical efficacy and to minimize its risks.
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Affiliation(s)
- Tengfei Bian
- Department of Medicinal Chemistry, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA; (T.B.); (P.C.); (Y.W.); (J.B.)
| | - Pedro Corral
- Department of Medicinal Chemistry, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA; (T.B.); (P.C.); (Y.W.); (J.B.)
| | - Yuzhi Wang
- Department of Medicinal Chemistry, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA; (T.B.); (P.C.); (Y.W.); (J.B.)
| | - Jordy Botello
- Department of Medicinal Chemistry, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA; (T.B.); (P.C.); (Y.W.); (J.B.)
| | - Rick Kingston
- College of Pharmacy, University of Minnesota, Minneapolis, MN 55455, USA;
| | - Tyler Daniels
- Thorne Research Inc., Industrial Road, 620 Omni Dr, Summerville, SC 29483, USA;
| | - Ramzi G. Salloum
- Department of Health Outcome & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32610, USA;
| | - Edward Johnston
- The Association for Hawaiian Awa (kava), Pepe’ekeo, HI 96783, USA;
| | - Zhiguang Huo
- Department of Biostatistics, College of Public Health & Health Professions, College of Medicine, University of Florida, Gainesville, FL 32610, USA;
| | - Junxuan Lu
- Department of Pharmacology, Penn State University College of Medicine, Hershey, PA 17033, USA;
| | - Andrew C. Liu
- Department of Physiology and Functional Genomics, College of Medicine, University of Florida, Gainesville, FL 32610, USA;
| | - Chengguo Xing
- Department of Medicinal Chemistry, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA; (T.B.); (P.C.); (Y.W.); (J.B.)
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10
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Ulmer CZ, Koelmel JP, Jones CM, Garrett TJ, Aristizabal-Henao JJ, Vesper HW, Bowden JA. A Review of Efforts to Improve Lipid Stability during Sample Preparation and Standardization Efforts to Ensure Accuracy in the Reporting of Lipid Measurements. Lipids 2020; 56:3-16. [PMID: 32519378 DOI: 10.1002/lipd.12263] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Revised: 05/03/2020] [Accepted: 05/19/2020] [Indexed: 11/07/2022]
Abstract
Lipidomics is a rapidly growing field, fueled by developments in analytical instrumentation and bioinformatics. To date, most researchers and industries have employed their own lipidomics workflows without a consensus on best practices. Without a community-wide consensus on best practices for the prevention of lipid degradation and transformations through sample collection and analysis, it is difficult to assess the quality of lipidomics data and hence trust results. Clinical studies often rely on samples being stored for weeks or months until they are analyzed, but inappropriate sampling techniques, storage temperatures, and analytical protocols can result in the degradation of complex lipids and the generation of oxidized or hydrolyzed metabolite artifacts. While best practices for lipid stability are sample dependent, it is generally recommended that strategies during sample preparation capable of quenching enzymatic activity and preventing oxidation should be considered. In addition, after sample preparation, lipid extracts should be stored in organic solvents with antioxidants at -20 °C or lower in an airtight container without exposure to light or oxygen. This will reduce or eliminate sublimation, and chemically and physically induced molecular transformations such as oxidation, enzymatic transformation, and photon/heat-induced degradation. This review explores the available literature on lipid stability, with a particular focus on human health and/or clinical lipidomic applications. Specifically, this includes a description of known mechanisms of lipid degradation, strategies, and considerations for lipid storage, as well as current efforts for standardization and quality insurance of protocols.
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Affiliation(s)
- Candice Z Ulmer
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, MS F25, Atlanta, GA, 30341, USA
| | - Jeremy P Koelmel
- Department of Environmental Health Sciences, Yale School of Medicine, Yale University, 60 College Street, Room 510, New Haven, CT, 06520, USA
| | - Christina M Jones
- Chemical Sciences Division, Organic Chemical Metrology Group, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD, 20899, USA
| | - Timothy J Garrett
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, 32610, USA
| | - Juan J Aristizabal-Henao
- Center for Environmental and Human Toxicology & Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, 32611, USA
| | - Hubert W Vesper
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, MS F25, Atlanta, GA, 30341, USA
| | - John A Bowden
- Center for Environmental and Human Toxicology & Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, 32611, USA
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11
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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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12
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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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