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Baris E, Arici MA, Tosun M. Nicotinic acetylcholine receptor-mediated effects of varenicline on LPS-elevated prostaglandin and cyclooxygenase levels in RAW 264.7 macrophages. Front Mol Biosci 2024; 11:1392689. [PMID: 38859932 PMCID: PMC11163068 DOI: 10.3389/fmolb.2024.1392689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 04/08/2024] [Indexed: 06/12/2024] Open
Abstract
Introduction: The purpose of this study is to delineate anti-inflammatory and antioxidant potential of varenicline, a cigarette smoking cessation aid, on decreasing lipopolysaccharide (LPS)-elevated proinflammatory cytokines in RAW 264.7 murine macrophage cultures which we showed earlier to occur via cholinergic anti-inflammatory pathway (CAP) activation. To this end, we investigated the possible suppressive capacity of varenicline on LPS-regulated cyclooxygenase (COX-1 and COX-2) via α7 nicotinic acetylcholine receptor (α7nAChR) activation using the same in vitro model. Materials and Methods: In order to test anti-inflammatory effectiveness of varenicline, the levels of COX isoforms and products (PGE2, 6-keto PGF1α, a stable analog of PGI2, and TXA2) altered after LPS administration were determined by Enzyme Linked Immunosorbent Assay (ELISA). The antioxidant effects of varenicline were assessed by measuring reductions in reactive oxygen species (ROS) using a fluorometric intracellular ROS assay kit. We further investigated the contribution of nAChR subtypes by using non-selective and/or selective α7nAChR antagonists. The results were compared with that of conventional anti-inflammatory medications, such as ibuprofen, celecoxib and dexamethasone. Results: Varenicline significantly reduced LPS-induced COX-1, COX-2 and prostaglandin levels and ROS to an extent similar to that observed with anti-inflammatory agents used. Discussion: Significant downregulation in LPS-induced COX isoforms and associated decreases in PGE2, 6-keto PGF1α, and TXA2 levels along with reduction in ROS may be partly mediated via varenicline-activated α7nAChRs.
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Affiliation(s)
- Elif Baris
- Department of Medical Pharmacology, Faculty of Medicine, Izmir University of Economics, Izmir, Türkiye
| | - Mualla Aylin Arici
- Department of Medical Pharmacology, Faculty of Medicine, Dokuz Eylul University, İzmir, Türkiye
| | - Metiner Tosun
- Department of Medical Pharmacology, Faculty of Medicine, Izmir University of Economics, Izmir, Türkiye
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2
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Lenski M, Zarcone G, Maallem S, Garçon G, Lo-Guidice JM, Allorge D, Anthérieu S. Metabolomics Provides Novel Insights into the Potential Toxicity Associated with Heated Tobacco Products, Electronic Cigarettes, and Tobacco Cigarettes on Human Bronchial Epithelial BEAS-2B Cells. TOXICS 2024; 12:128. [PMID: 38393223 PMCID: PMC10893046 DOI: 10.3390/toxics12020128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/24/2024] [Accepted: 01/30/2024] [Indexed: 02/25/2024]
Abstract
Smoking is an established risk factor for various pathologies including lung cancer. Electronic cigarettes (e-cigs) and heated tobacco products (HTPs) have appeared on the market in recent years, but their safety or, conversely, their toxicity has not yet been demonstrated. This study aimed to compare the metabolome of human lung epithelial cells exposed to emissions of e-cigs, HTPs, or 3R4F cigarettes in order to highlight potential early markers of toxicity. BEAS-2B cells were cultured at the air-liquid interface and exposed to short-term emissions from e-cigs set up at low or medium power, HTPs, or 3R4F cigarettes. Untargeted metabolomic analyses were performed using liquid chromatography coupled with mass spectrometry. Compared to unexposed cells, both 3R4F cigarette and HTP emissions affected the profiles of exogenous compounds, one of which is carcinogenic, as well as those of endogenous metabolites from various pathways including oxidative stress, energy metabolism, and lipid metabolism. However, these effects were observed at lower doses for cigarettes (2 and 4 puffs) than for HTPs (60 and 120 puffs). No difference was observed after e-cig exposure, regardless of the power conditions. These results suggest a lower acute toxicity of e-cig emissions compared to cigarettes and HTPs in BEAS-2B cells. The pathways deregulated by HTP emissions are also described to be altered in respiratory diseases, emphasizing that the toxicity of HTPs should not be underestimated.
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Affiliation(s)
- Marie Lenski
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483, IMPECS—IMPact de l’Environnement Chimique sur la Santé Humaine, F-59000 Lille, France; (M.L.); (G.Z.); (S.M.); (G.G.); (J.-M.L.-G.); (D.A.)
- CHU Lille, Unité Fonctionnelle de Toxicologie, F-59037 Lille, France
| | - Gianni Zarcone
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483, IMPECS—IMPact de l’Environnement Chimique sur la Santé Humaine, F-59000 Lille, France; (M.L.); (G.Z.); (S.M.); (G.G.); (J.-M.L.-G.); (D.A.)
| | - Saïd Maallem
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483, IMPECS—IMPact de l’Environnement Chimique sur la Santé Humaine, F-59000 Lille, France; (M.L.); (G.Z.); (S.M.); (G.G.); (J.-M.L.-G.); (D.A.)
| | - Guillaume Garçon
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483, IMPECS—IMPact de l’Environnement Chimique sur la Santé Humaine, F-59000 Lille, France; (M.L.); (G.Z.); (S.M.); (G.G.); (J.-M.L.-G.); (D.A.)
| | - Jean-Marc Lo-Guidice
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483, IMPECS—IMPact de l’Environnement Chimique sur la Santé Humaine, F-59000 Lille, France; (M.L.); (G.Z.); (S.M.); (G.G.); (J.-M.L.-G.); (D.A.)
| | - Delphine Allorge
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483, IMPECS—IMPact de l’Environnement Chimique sur la Santé Humaine, F-59000 Lille, France; (M.L.); (G.Z.); (S.M.); (G.G.); (J.-M.L.-G.); (D.A.)
- CHU Lille, Unité Fonctionnelle de Toxicologie, F-59037 Lille, France
| | - Sébastien Anthérieu
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483, IMPECS—IMPact de l’Environnement Chimique sur la Santé Humaine, F-59000 Lille, France; (M.L.); (G.Z.); (S.M.); (G.G.); (J.-M.L.-G.); (D.A.)
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3
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Ruderman SA, Odden MC, Webel AR, Fitzpatrick AL, Crane PK, Nance RM, Drumright LN, Whitney BM, Mixson LS, Ma J, Willig AL, Haidar L, Eltonsy S, Mayer KH, O'Cleirigh C, Cropsey KL, Eron JJ, Napravnik S, Greene M, McCaul M, Chander G, Cachay E, Lober WB, Kritchevsky SB, Austad S, Landay A, Pandya C, Cartujano-Barrera F, Saag MS, Kamen C, Hahn AW, Kitahata MM, Delaney JAC, Crane HM. Tobacco Smoking and Pack-Years Are Associated With Frailty Among People With HIV. J Acquir Immune Defic Syndr 2023; 94:135-142. [PMID: 37368939 PMCID: PMC10527292 DOI: 10.1097/qai.0000000000003242] [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: 08/05/2022] [Accepted: 06/12/2023] [Indexed: 06/29/2023]
Abstract
BACKGROUND Tobacco smoking increases frailty risk among the general population and is common among people with HIV (PWH) who experience higher rates of frailty at younger ages than the general population. METHODS We identified 8608 PWH across 6 Centers for AIDS Research Network of Integrated Clinical Systems sites who completed ≥2 patient-reported outcome assessments, including a frailty phenotype measuring unintentional weight loss, poor mobility, fatigue, and inactivity, and scored 0-4. Smoking was measured as baseline pack-years and time-updated never, former, or current use with cigarettes/day. We used Cox models to associate smoking with risk of incident frailty (score ≥3) and deterioration (frailty score increase by ≥2 points), adjusted for demographics, antiretroviral medication, and time-updated CD4 count. RESULTS The mean follow-up of PWH was 5.3 years (median: 5.0), the mean age at baseline was 45 years, 15% were female, and 52% were non-White. At baseline, 60% reported current or former smoking. Current (HR: 1.79; 95% confidence interval: 1.54 to 2.08) and former (HR: 1.31; 95% confidence interval: 1.12 to 1.53) smoking were associated with higher incident frailty risk, as were higher pack-years. Current smoking (among younger PWH) and pack-years, but not former smoking, were associated with higher risk of deterioration. CONCLUSIONS Among PWH, smoking status and duration are associated with incident and worsening frailty.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Jimmy Ma
- University of Washington, Seattle, WA, USA
| | | | - Lara Haidar
- University of Manitoba, Winnipeg, Manitoba, CA
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4
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Poledniczek M, Neumayer C, Kopp CW, Schlager O, Gremmel T, Jozkowicz A, Gschwandtner ME, Koppensteiner R, Wadowski PP. Micro- and Macrovascular Effects of Inflammation in Peripheral Artery Disease-Pathophysiology and Translational Therapeutic Approaches. Biomedicines 2023; 11:2284. [PMID: 37626780 PMCID: PMC10452462 DOI: 10.3390/biomedicines11082284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 08/10/2023] [Accepted: 08/15/2023] [Indexed: 08/27/2023] Open
Abstract
Inflammation has a critical role in the development and progression of atherosclerosis. On the molecular level, inflammatory pathways negatively impact endothelial barrier properties and thus, tissue homeostasis. Conformational changes and destruction of the glycocalyx further promote pro-inflammatory pathways also contributing to pro-coagulability and a prothrombotic state. In addition, changes in the extracellular matrix composition lead to (peri-)vascular remodelling and alterations of the vessel wall, e.g., aneurysm formation. Moreover, progressive fibrosis leads to reduced tissue perfusion due to loss of functional capillaries. The present review aims at discussing the molecular and clinical effects of inflammatory processes on the micro- and macrovasculature with a focus on peripheral artery disease.
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Affiliation(s)
- Michael Poledniczek
- Division of Angiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (M.P.); (C.W.K.); (O.S.); (M.E.G.); (R.K.)
- Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria
| | - Christoph Neumayer
- Division of Vascular Surgery, Department of General Surgery, Medical University of Vienna, 1090 Vienna, Austria;
| | - Christoph W. Kopp
- Division of Angiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (M.P.); (C.W.K.); (O.S.); (M.E.G.); (R.K.)
| | - Oliver Schlager
- Division of Angiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (M.P.); (C.W.K.); (O.S.); (M.E.G.); (R.K.)
| | - Thomas Gremmel
- Department of Internal Medicine I, Cardiology and Intensive Care Medicine, Landesklinikum Mistelbach-Gänserndorf, 2130 Mistelbach, Austria;
- Institute of Cardiovascular Pharmacotherapy and Interventional Cardiology, Karl Landsteiner Society, 3100 St. Pölten, Austria
| | - Alicja Jozkowicz
- Department of Medical Biotechnology, Faculty of Biophysics, Biochemistry and Biotechnology, Jagiellonian University, 31-007 Krakow, Poland;
| | - Michael E. Gschwandtner
- Division of Angiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (M.P.); (C.W.K.); (O.S.); (M.E.G.); (R.K.)
| | - Renate Koppensteiner
- Division of Angiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (M.P.); (C.W.K.); (O.S.); (M.E.G.); (R.K.)
| | - Patricia P. Wadowski
- Division of Angiology, Department of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (M.P.); (C.W.K.); (O.S.); (M.E.G.); (R.K.)
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5
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Haycock PC, Borges MC, Burrows K, Lemaitre RN, Burgess S, Khankari NK, Tsilidis KK, Gaunt TR, Hemani G, Zheng J, Truong T, Birmann BM, OMara T, Spurdle AB, Iles MM, Law MH, Slager SL, Saberi Hosnijeh F, Mariosa D, Cotterchio M, Cerhan JR, Peters U, Enroth S, Gharahkhani P, Le Marchand L, Williams AC, Block RC, Amos CI, Hung RJ, Zheng W, Gunter MJ, Smith GD, Relton C, Martin RM. The association between genetically elevated polyunsaturated fatty acids and risk of cancer. EBioMedicine 2023; 91:104510. [PMID: 37086649 PMCID: PMC10148095 DOI: 10.1016/j.ebiom.2023.104510] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 02/10/2023] [Accepted: 02/20/2023] [Indexed: 04/24/2023] Open
Abstract
BACKGROUND The causal relevance of polyunsaturated fatty acids (PUFAs) for risk of site-specific cancers remains uncertain. METHODS Using a Mendelian randomization (MR) framework, we assessed the causal relevance of PUFAs for risk of cancer in European and East Asian ancestry individuals. We defined the primary exposure as PUFA desaturase activity, proxied by rs174546 at the FADS locus. Secondary exposures were defined as omega 3 and omega 6 PUFAs that could be proxied by genetic polymorphisms outside the FADS region. Our study used summary genetic data on 10 PUFAs and 67 cancers, corresponding to 562,871 cases and 1,619,465 controls, collected by the Fatty Acids in Cancer Mendelian Randomization Collaboration. We estimated odds ratios (ORs) for cancer per standard deviation increase in genetically proxied PUFA exposures. FINDINGS Genetically elevated PUFA desaturase activity was associated (P < 0.0007) with higher risk (OR [95% confidence interval]) of colorectal cancer (1.09 [1.07-1.11]), esophageal squamous cell carcinoma (1.16 [1.06-1.26]), lung cancer (1.06 [1.03-1.08]) and basal cell carcinoma (1.05 [1.02-1.07]). There was little evidence for associations with reproductive cancers (OR = 1.00 [95% CI: 0.99-1.01]; Pheterogeneity = 0.25), urinary system cancers (1.03 [0.99-1.06], Pheterogeneity = 0.51), nervous system cancers (0.99 [0.95-1.03], Pheterogeneity = 0.92) or blood cancers (1.01 [0.98-1.04], Pheterogeneity = 0.09). Findings for colorectal cancer and esophageal squamous cell carcinoma remained compatible with causality in sensitivity analyses for violations of assumptions. Secondary MR analyses highlighted higher omega 6 PUFAs (arachidonic acid, gamma-linolenic acid and dihomo-gamma-linolenic acid) as potential mediators. PUFA biosynthesis is known to interact with aspirin, which increases risk of bleeding and inflammatory bowel disease. In a phenome-wide MR study of non-neoplastic diseases, we found that genetic lowering of PUFA desaturase activity, mimicking a hypothetical intervention to reduce cancer risk, was associated (P < 0.0006) with increased risk of inflammatory bowel disease but not bleeding. INTERPRETATION The PUFA biosynthesis pathway may be an intervention target for prevention of colorectal cancer and esophageal squamous cell carcinoma but with potential for increased risk of inflammatory bowel disease. FUNDING Cancer Resesrch UK (C52724/A20138, C18281/A19169). UK Medical Research Council (MR/P014054/1). National Institute for Health Research (NIHR202411). UK Medical Research Council (MC_UU_00011/1, MC_UU_00011/3, MC_UU_00011/6, and MC_UU_00011/4). National Cancer Institute (R00 CA215360). National Institutes of Health (U01 CA164973, R01 CA60987, R01 CA72520, U01 CA74806, R01 CA55874, U01 CA164973 and U01 CA164973).
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Affiliation(s)
- Philip C Haycock
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, University of Bristol, Bristol, United Kingdom.
| | - Maria Carolina Borges
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Kimberley Burrows
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Rozenn N Lemaitre
- Department of Medicine, Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | | | - Nikhil K Khankari
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Therese Truong
- Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, Team "Exposome, Heredity, Cancer and Health", CESP, Villejuif, France
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Tracy OMara
- Genetics and Computational Biology Division, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; School of Medicine, Faculty of Health Sciences, University of Queensland, Australia
| | - Amanda B Spurdle
- Genetics and Computational Biology Division, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; School of Medicine, Faculty of Health Sciences, University of Queensland, Australia
| | - Mark M Iles
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK; NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Matthew H Law
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia; School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Queensland, Australia
| | - Susan L Slager
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | - Daniela Mariosa
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Michelle Cotterchio
- Dalla Lana School of Public Health, University of Toronto, Canada; Prevention and Cancer Control, Cancer Care Ontario, Ontario Health, Toronto, ON, Canada
| | - James R Cerhan
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, USA; Department of Epidemiology, School of Public Health, University of Washington, Seattle, USA
| | - Stefan Enroth
- Department of Immunology, Genetics, and Pathology, Biomedical Center, Science for Life Laboratory (SciLifeLab) Uppsala, Uppsala University, Uppsala, Sweden
| | - Puya Gharahkhani
- Statistical Genetics Lab, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston QLD, 4006, Australia
| | | | - Ann C Williams
- School of Cellular and Molecular Medicine, University of Bristol, Bristol, UK
| | - Robert C Block
- Department of Public Health Sciences, University of Rochester, NY, USA
| | - Christopher I Amos
- Dan L Duncan Comprehensive Cancer Center Baylor College of Medicine, USA
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute Mount Sinai Hospital and University of Toronto, Canada
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, Lyon, France
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Caroline Relton
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Richard M Martin
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, University of Bristol, Bristol, United Kingdom; The National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and University of Bristol, Bristol, United Kingdom; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
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Makena P, Scott E, Chen P, Liu HP, Jones BA, Prasad GL. Biomarkers of Exposure and Potential Harm in Two Weeks of Smoking Abstinence: Changes in Biomarkers of Platelet Function, Oxidative Stress, and Inflammation. Int J Mol Sci 2023; 24:ijms24076286. [PMID: 37047257 PMCID: PMC10093936 DOI: 10.3390/ijms24076286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 03/19/2023] [Accepted: 03/21/2023] [Indexed: 03/29/2023] Open
Abstract
: Chronic cigarette smoking is a major risk factor for many serious diseases. While complete cessation of smoking is the best option to reduce harm from smoking, adverse impacts of smoking on health could persist for several years after cessation. Therefore, Biomarkers of Potential Harm (BoPH) are useful in interim evaluations of the beneficial effects of smoking cessation or switching to potentially lower-risk tobacco products. A 14-day smoking abstinence study was conducted under clinical confinement conditions and enrolled 70 subjects into younger (24–34 years, n = 33) and older (35–60 years, n = 37) age cohorts. Biomarkers of Exposure (BoE), which indicate exposure to nicotine and other toxicants, were measured at baseline, 7 and 14 days. Several BoPH including previously identified eicosanoids (leukotriene 4 (LTE4) and 2,3-dinor thromboxane 2 (2,3-d-TXB2) and others were evaluated. Significant declines in BoE, LTE4, 2,3-d-TXB2, neutrophils, WBC and select RBC, and arterial blood gas parameters were observed in both age cohorts at Days 7 and 14 compared to baseline, while other BoPH (e.g., FeNO) showed age-related effects. Rapid and reproducible reductions in LTE4, 2,3-d-TXB2 WBC, and neutrophil counts were consistently detected following smoking abstinence, indicating the value of these markers as useful BoPH.
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Affiliation(s)
- Patrudu Makena
- RAI Services Company, 401 N. Main Street, Winston-Salem, NC 27101, USA
| | - Eric Scott
- RAI Services Company, 401 N. Main Street, Winston-Salem, NC 27101, USA
| | - Peter Chen
- RAI Services Company, 401 N. Main Street, Winston-Salem, NC 27101, USA
| | - Hsiao-Pin Liu
- RAI Services Company, 401 N. Main Street, Winston-Salem, NC 27101, USA
| | - Bobbette A Jones
- RAI Services Company, 401 N. Main Street, Winston-Salem, NC 27101, USA
| | - Gaddamanugu L Prasad
- RAI Services Company, 401 N. Main Street, Winston-Salem, NC 27101, USA
- Prasad Scientific Consulting LLC, Lewisville, NC 27023, USA
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7
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Kida T, Yamazaki A, Kobayashi K, Nakamura T, Nakagawa T, Nishimura R, Murata T. The profile of urinary lipid metabolites in healthy dogs. J Vet Med Sci 2022; 84:644-647. [PMID: 35321995 PMCID: PMC9177396 DOI: 10.1292/jvms.22-0020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Polyunsaturated fatty acids, including arachidonic acid (AA), docosahexaenoic acid (DHA), and eicosapentaenoic acid (EPA), are converted to hundreds of lipid mediators by cyclooxygenases
(COX), lipoxygenases (LOX), and cytochrome P450 (CYP), or through non-enzymatic processes, and they reflect inflammatory states of the body. We comprehensively analyzed lipid metabolites in
dog urine using a liquid chromatograph-mass spectrometry (LC-MS/MS) to describe their metabolic characteristics. We detected 31 AA-derived metabolites, four EPA-derived metabolites, and a
DHA-derived metabolite in all urine samples. Among AA-derived metabolites, 15, 5, 3, and 8 were generated by COX, LOX, CYP, and non-enzymatic oxidation respectively. This study will be the
first step to use profiles of urinary lipid metabolites for better understanding and diagnosis of canine diseases.
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Affiliation(s)
- Taiki Kida
- Department of Animal Radiology, Graduate School of Agricultural and Life Sciences, The University of Tokyo
| | - Arisa Yamazaki
- Department of Animal Radiology, Graduate School of Agricultural and Life Sciences, The University of Tokyo
| | - Koji Kobayashi
- Department of Animal Radiology, Graduate School of Agricultural and Life Sciences, The University of Tokyo
| | - Tatsuro Nakamura
- Department of Animal Radiology, Graduate School of Agricultural and Life Sciences, The University of Tokyo
| | - Takayuki Nakagawa
- Laboratory of Veterinary Surgery, Graduate School of Agricultural and Life Sciences, The University of Tokyo
| | - Ryohei Nishimura
- Laboratory of Veterinary Surgery, Graduate School of Agricultural and Life Sciences, The University of Tokyo
| | - Takahisa Murata
- Department of Animal Radiology, Graduate School of Agricultural and Life Sciences, The University of Tokyo
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Baris E, Efe H, Gumustekin M, Arici MA, Tosun M. Varenicline Prevents LPS-Induced Inflammatory Response via Nicotinic Acetylcholine Receptors in RAW 264.7 Macrophages. Front Mol Biosci 2021; 8:721533. [PMID: 34712695 PMCID: PMC8546203 DOI: 10.3389/fmolb.2021.721533] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 09/07/2021] [Indexed: 11/13/2022] Open
Abstract
The cholinergic anti-inflammatory pathway plays an important role in controlling inflammation. This study investigated the effects of varenicline, an α7 nicotinic acetylcholine receptor (α7nAChR) agonist, on inflammatory cytokine levels, cell proliferation, and migration rates in a lipopolysaccharide (LPS)-induced inflammation model in RAW 264.7 murine macrophage cell lines. The cells were treated with increasing concentrations of varenicline, followed by LPS incubation for 24 h. Prior to receptor-mediated events, anti-inflammatory effects of varenicline on different cytokines and chemokines were investigated using a cytokine array. Nicotinic AChR-mediated effects of varenicline were investigated by using a non-selective nAChR antagonist mecamylamine hydrochloride and a selective α7nAChR antagonist methyllycaconitine citrate. TNFα, IL-1β, and IL-6 levels were determined by the ELISA test in cell media 24 h after LPS administration and compared with those of dexamethasone. The rates of cellular proliferation and migration were monitored for 24 h after drug treatment using a real-time cell analysis system. Varenicline decreased LPS-induced cytokines and chemokines including TNFα, IL-6, and IL-1β via α7nAChRs to a similar level that observed with dexamethasone. Varenicline treatment decreased LPS-induced cell proliferation, without any nAChR involvement. On the other hand, the LPS-induced cell migration rate decreased with varenicline via α7nAChR. Our data suggest that varenicline inhibits LPS-induced inflammatory response by activating α7nAChRs within the cholinergic anti-inflammatory pathway, reducing the cytokine levels and cell migration.
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Affiliation(s)
- Elif Baris
- Department of Pharmacology, Graduate School of Health Sciences, Dokuz Eylul University, Izmir, Turkey.,Department of Pharmacology, Faculty of Medicine, Izmir University of Economics, Izmir, Turkey
| | - Hande Efe
- Department of Medical Biology and Genetics, Graduate School of Health Sciences, Dokuz Eylul University, Izmir, Turkey
| | - Mukaddes Gumustekin
- Department of Medical Pharmacology, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Mualla Aylin Arici
- Department of Medical Pharmacology, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Metiner Tosun
- Department of Pharmacology, Faculty of Medicine, Izmir University of Economics, Izmir, Turkey
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9
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Abstract
Cigarette smoke (CS) is likely the most common preventable cause of human morbidity and mortality worldwide. Consequently, inexpensive interventional strategies for preventing CS-related diseases would positively impact health systems. Inhaled CS is a powerful inflammatory stimulus and produces a shift in the normal balance between antioxidants and oxidants, inducing oxidative stress in both the respiratory system and throughout the body. This enduring and systemic pro-oxidative state within the body is reflected by increased levels of oxidative stress and inflammation biomarkers seen in smokers. Smokers might benefit from consuming antioxidant supplements, or a diet rich in fruit and vegetables, which can reduce the CS-related oxidative stress. This review provides an overview of the plasma profile of antioxidants observable in smokers and examines the heterogeneous literature to elucidate and discuss the effectiveness of interventional strategies based on antioxidant supplements or an antioxidant-rich diet to improve the health of smokers. An antioxidant-rich diet can provide an easy-to-implement and cost-effective preventative strategy to reduce the risk of CS-related diseases, thus being one of the simplest ways for smokers to stay in good health for as long as possible. The health benefits attributable to the intake of antioxidants have been observed predominantly when these have been consumed within their natural food matrices in an optimal antioxidant-rich diet, while these preventive effects are rarely achieved with the intake of individual antioxidants, even at high doses.
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10
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Wei M, Zhao L, Lv J, Li X, Zhou G, Fan B, Shen X, Zhao D, Xue F, Wang J, Zhang T. The mediation effect of serum metabolites on the relationship between long-term smoking exposure and esophageal squamous cell carcinoma. BMC Cancer 2021; 21:415. [PMID: 33858379 PMCID: PMC8050928 DOI: 10.1186/s12885-021-08151-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 04/05/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Long-term smoking exposure will increase the risk of esophageal squamous cell carcinoma (ESCC), whereas the mechanism is still unclear. We conducted a cross-sectional study to explore whether serum metabolites mediate the occurrence of ESCC caused by cigarette smoking. METHODS Serum metabolic profiles and lifestyle information of 464 participants were analyzed. Multiple logistic regression was used to estimate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) of smoking exposure to ESCC risk. High-dimensional mediation analysis and univariate mediation analysis were performed to screen potential intermediate metabolites of smoking exposure for ESCC. RESULTS Ever smoking was associated with a 3.11-fold increase of ESCC risk (OR = 3.11, 95% CI 1.63-6.05), and for each cigarette-years increase in smoking index, ESCC risk increased by 56% (OR = 1.56, 95% CI 1.18-2.13). A total of 5 metabolites were screened as mediators by high-dimensional mediation analysis. In addition, glutamine, histidine, and cholic acid were further proved existing mediation effects according to univariate mediation analysis. And the proportions of mediation of histidine and glutamine were 40.47 and 30.00%, respectively. The mediation effect of cholic acid was 8.98% according to the analysis of smoking index. CONCLUSIONS Our findings suggest that cigarette smoking contributed to incident ESCC, which may be mediated by glutamine, histidine and cholic acid.
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Affiliation(s)
- Mengke Wei
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhua Xi Rd, Jinan, 250012, Shandong, China
| | - Lihong Zhao
- Tumor Preventative and Therapeutic Base of Shandong Province, Feicheng People's Hospital, Feicheng, 271600, China
| | - Jiali Lv
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhua Xi Rd, Jinan, 250012, Shandong, China
| | - Xia Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhua Xi Rd, Jinan, 250012, Shandong, China.,Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China
| | - Guangshuai Zhou
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhua Xi Rd, Jinan, 250012, Shandong, China
| | - Bingbing Fan
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhua Xi Rd, Jinan, 250012, Shandong, China
| | - Xiaotao Shen
- Interdisciplinary Research Center on Biology and Chemistry, and Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Deli Zhao
- Tumor Preventative and Therapeutic Base of Shandong Province, Feicheng People's Hospital, Feicheng, 271600, China
| | - Fuzhong Xue
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhua Xi Rd, Jinan, 250012, Shandong, China
| | - Jialin Wang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhua Xi Rd, Jinan, 250012, Shandong, China.,Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China
| | - Tao Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhua Xi Rd, Jinan, 250012, Shandong, China.
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11
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Cammisotto V, Nocella C, Bartimoccia S, Sanguigni V, Francomano D, Sciarretta S, Pastori D, Peruzzi M, Cavarretta E, D’Amico A, Castellani V, Frati G, Carnevale R, Group SM. The Role of Antioxidants Supplementation in Clinical Practice: Focus on Cardiovascular Risk Factors. Antioxidants (Basel) 2021; 10:146. [PMID: 33498338 PMCID: PMC7909411 DOI: 10.3390/antiox10020146] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 01/08/2021] [Accepted: 01/18/2021] [Indexed: 12/15/2022] Open
Abstract
Oxidative stress may be defined as an imbalance between reactive oxygen species (ROS) and the antioxidant system to counteract or detoxify these potentially damaging molecules. This phenomenon is a common feature of many human disorders, such as cardiovascular disease. Many of the risk factors, including smoking, hypertension, hypercholesterolemia, diabetes, and obesity, are associated with an increased risk of developing cardiovascular disease, involving an elevated oxidative stress burden (either due to enhanced ROS production or decreased antioxidant protection). There are many therapeutic options to treat oxidative stress-associated cardiovascular diseases. Numerous studies have focused on the utility of antioxidant supplementation. However, whether antioxidant supplementation has any preventive and/or therapeutic value in cardiovascular pathology is still a matter of debate. In this review, we provide a detailed description of oxidative stress biomarkers in several cardiovascular risk factors. We also discuss the clinical implications of the supplementation with several classes of antioxidants, and their potential role for protecting against cardiovascular risk factors.
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Affiliation(s)
- Vittoria Cammisotto
- Department of General Surgery and Surgical Specialty Paride Stefanini, Sapienza University of Rome, 00185 Rome, Italy
| | - Cristina Nocella
- Department of Clinical Internal, Anesthesiological and Cardiovascular Sciences, Sapienza University of Rome, 00185 Rome, Italy; (S.B.); (D.P.); (V.C.)
| | - Simona Bartimoccia
- Department of Clinical Internal, Anesthesiological and Cardiovascular Sciences, Sapienza University of Rome, 00185 Rome, Italy; (S.B.); (D.P.); (V.C.)
| | - Valerio Sanguigni
- Unit of Internal Medicine and Endocrinology, Madonna delle Grazie Hospital, Velletri, 00049 Rome, Italy; (V.S.); (D.F.)
- Department of Internal Medicine, University of Rome “Tor Vergata”, 00133 Rome, Italy
| | - Davide Francomano
- Unit of Internal Medicine and Endocrinology, Madonna delle Grazie Hospital, Velletri, 00049 Rome, Italy; (V.S.); (D.F.)
| | - Sebastiano Sciarretta
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 04100 Latina, Italy; (S.S.); (M.P.); (E.C.); (G.F.)
- Department of AngioCardioNeurology, IRCCS Neuromed, 86077 Pozzilli, Italy
| | - Daniele Pastori
- Department of Clinical Internal, Anesthesiological and Cardiovascular Sciences, Sapienza University of Rome, 00185 Rome, Italy; (S.B.); (D.P.); (V.C.)
| | - Mariangela Peruzzi
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 04100 Latina, Italy; (S.S.); (M.P.); (E.C.); (G.F.)
- Mediterranea, Cardiocentro, 80122 Napoli, Italy
| | - Elena Cavarretta
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 04100 Latina, Italy; (S.S.); (M.P.); (E.C.); (G.F.)
- Mediterranea, Cardiocentro, 80122 Napoli, Italy
| | - Alessandra D’Amico
- Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy;
| | - Valentina Castellani
- Department of Clinical Internal, Anesthesiological and Cardiovascular Sciences, Sapienza University of Rome, 00185 Rome, Italy; (S.B.); (D.P.); (V.C.)
| | - Giacomo Frati
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 04100 Latina, Italy; (S.S.); (M.P.); (E.C.); (G.F.)
- Department of AngioCardioNeurology, IRCCS Neuromed, 86077 Pozzilli, Italy
| | - Roberto Carnevale
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 04100 Latina, Italy; (S.S.); (M.P.); (E.C.); (G.F.)
- Mediterranea, Cardiocentro, 80122 Napoli, Italy
| | - SMiLe Group
- Faculty of Medicine and Surgery, Sapienza University of Rome, 04100 Latina, Italy;
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12
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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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13
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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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14
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Peterson LA, Balbo S, Fujioka N, Hatsukami DK, Hecht SS, Murphy SE, Stepanov I, Tretyakova NY, Turesky RJ, Villalta PW. Applying Tobacco, Environmental, and Dietary-Related Biomarkers to Understand Cancer Etiology and Evaluate Prevention Strategies. Cancer Epidemiol Biomarkers Prev 2020; 29:1904-1919. [PMID: 32051197 PMCID: PMC7423750 DOI: 10.1158/1055-9965.epi-19-1356] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 12/18/2019] [Accepted: 01/27/2020] [Indexed: 01/20/2023] Open
Abstract
Many human cancers are caused by environmental and lifestyle factors. Biomarkers of exposure and risk developed by our team have provided critical data on internal exposure to toxic and genotoxic chemicals and their connection to cancer in humans. This review highlights our research using biomarkers to identify key factors influencing cancer risk as well as their application to assess the effectiveness of exposure intervention and chemoprevention protocols. The use of these biomarkers to understand individual susceptibility to the harmful effects of tobacco products is a powerful example of the value of this type of research and has provided key data confirming the link between tobacco smoke exposure and cancer risk. Furthermore, this information has led to policy changes that have reduced tobacco use and consequently, the tobacco-related cancer burden. Recent technological advances in mass spectrometry led to the ability to detect DNA damage in human tissues as well as the development of adductomic approaches. These new methods allowed for the detection of DNA adducts in tissues from patients with cancer, providing key evidence that exposure to carcinogens leads to DNA damage in the target tissue. These advances will provide valuable insights into the etiologic causes of cancer that are not tobacco-related.See all articles in this CEBP Focus section, "Environmental Carcinogenesis: Pathways to Prevention."
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Affiliation(s)
- Lisa A Peterson
- Division of Environmental Health Sciences, University of Minnesota, Minneapolis, Minnesota.
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
| | - Silvia Balbo
- Division of Environmental Health Sciences, University of Minnesota, Minneapolis, Minnesota
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
| | - Naomi Fujioka
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
- Division of Hematology, Oncology and Transplantation, University of Minnesota, Minneapolis, Minnesota
| | - Dorothy K Hatsukami
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
- Department of Psychiatry, University of Minnesota, Minneapolis, Minnesota
| | - Stephen S Hecht
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Sharon E Murphy
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minnesota
| | - Irina Stepanov
- Division of Environmental Health Sciences, University of Minnesota, Minneapolis, Minnesota
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
| | - Natalia Y Tretyakova
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
- Department of Medicinal Chemistry, University of Minnesota, Minneapolis, Minnesota
| | - Robert J Turesky
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
- Department of Medicinal Chemistry, University of Minnesota, Minneapolis, Minnesota
| | - Peter W Villalta
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
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15
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Paiano V, Maertens L, Guidolin V, Yang J, Balbo S, Hecht SS. Quantitative Liquid Chromatography-Nanoelectrospray Ionization-High-Resolution Tandem Mass Spectrometry Analysis of Acrolein-DNA Adducts and Etheno-DNA Adducts in Oral Cells from Cigarette Smokers and Nonsmokers. Chem Res Toxicol 2020; 33:2197-2207. [PMID: 32635726 PMCID: PMC8185904 DOI: 10.1021/acs.chemrestox.0c00223] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Cigarette smoking is an important source of human exposure to toxicants and carcinogens and contributes significantly to cancer morbidity and mortality worldwide. Acrolein, a widespread environmental pollutant, is present in relatively high amounts in cigarette smoke and can react directly with DNA to form DNA adducts, which serve as important biomarkers for the assessment of exposure to acrolein and its potential role in smoking related cancer. Etheno-DNA adducts are promutagenic DNA lesions that can derive from exogenous chemicals as well as endogenous sources, including lipid peroxidation. In this study, we developed a combined method for the quantitation of (6R/S)-3-(2'-deoxyribos-1'-yl)-5,6,7,8,-tetrahydro-6-hydroxypyrimido[1,2-a]purine-10(3H)-one (α-OH-Acr-dGuo), (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,N6-etheno-dAdo (εdAdo), and 3,N4-etheno-dCyd (εdCyd) adducts in oral rinse and cytobrush DNA from smokers and nonsmokers by liquid chromatography-nanoelelctrospray ionization-high-resolution tandem mass spectrometry (LC-NSI-HRMS/MS). For oral rinse samples, there was a statistically significant difference between the levels of α-OH-Acr-dGuo, γ-OH-Acr-dGuo, εdAdo, and εdCyd in smokers (12.1 ± 17.9, 163 ± 227, 182 ± 568, and 194 ± 400 adducts/109 nucleotides, respectively) and nonsmokers (1.85 ± 2.08, 5.95 ± 4.23, 7.69 ± 11.7, and 6.07 ± 10.9 adducts/109 nucleotides, respectively). For cytobrush samples, there was a statistically significant difference between the levels of γ-OH-Acr-dGuo and εdAdo in smokers (259 ± 540 and 82.9 ± 271 adducts/109 nucleotides, respectively) and nonsmokers (7.37 ± 5.09 and 16.2 ± 30.2 adducts/109 nucleotides, respectively) but not for α-OH-Acr-dGuo and εdCyd. Our results demonstrate that oral mucosa cells are an excellent source of material for evaluating DNA adducts to be used as biomarkers of tobacco smoke exposure and molecular changes potentially related to cancer.
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Affiliation(s)
- Viviana Paiano
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455
| | - Laura Maertens
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455
| | - Valeria Guidolin
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455
- School of Public Health, University of Minnesota, Minneapolis, MN 55455
| | | | - Silvia Balbo
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455
- School of Public Health, University of Minnesota, Minneapolis, MN 55455
- Silvia Balbo and Stephen S. Hecht contributed equally to this study
| | - Stephen S. Hecht
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455
- Silvia Balbo and Stephen S. Hecht contributed equally to this study
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16
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Kobayashi Y, Nakamura T, Kobayashi K, Murata T. The profile of urinary lipid metabolites in cats. J Vet Med Sci 2020; 82:1017-1020. [PMID: 32507833 PMCID: PMC7399318 DOI: 10.1292/jvms.20-0238] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Polyunsaturated fatty acids including arachidonic acid (AA), docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), are converted to lipid mediators by oxidation. Unlike
other mammals, cats cannot synthesize AA. Since their lipid metabolic features remain unknown, we qualitatively analyzed 118 types of urinary lipid metabolites in healthy neutered
cats. Using LC-MS, we found 26 lipid metabolites in urines of all individuals. In detail, 20 AA-, 5 EPA- and 1 DHA-derived lipid mediators were detected. Focusing on oxidative
pathway, 17 cyclooxygenase-metabolites and 5 metabolites produced by non-enzymatic pathway were detected. Of interest, few lipoxygenase- or cytochrome P450-metabolites were
excreted. Thus, AA-derived cyclooxygenase-metabolites mainly composed the urinary lipid metabolites in cats.
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Affiliation(s)
- Yui Kobayashi
- Department of Animal Radiology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Tatsuro Nakamura
- Department of Animal Radiology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Koji Kobayashi
- Department of Animal Radiology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Takahisa Murata
- Department of Animal Radiology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
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17
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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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