Evaluation of biomarkers of exposure and potential harm in smokers, former smokers and never-smokers. 2009

Frazer J Lowe, and Evan O Gregg, and Michael McEwan
Research and Development Centre, British American Tobacco (Investments) Ltd., Millbrook, Southampton, Hampshire, UK. frazer_lowe@bat.com

BACKGROUND The objective of this study was to obtain baseline data on biomarkers of exposure (BoE) and biomarkers of potential harm (BoPH) in smokers, former smokers and never-smokers. METHODS This was a cross-sectional study of 80 healthy male and female volunteers over 21 years old, self-selected for smoking status. Subjects were prescreened by medical staff at an independent clinical research unit, within 1 week prior to a single overnight residential visit and sample collection. RESULTS All BoE were able to differentiate between the two smoking groups and smokers from all nonsmokers. There was a strong correlation between cigarettes smoked per day and total urinary nicotine equivalents (TNE; r=0.85). TNE correlated better with 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol levels than cigarettes smoked per day (r=0.75 and r=0.56, respectively). Of the BoPH included in this study, seven (11-dehydro-thromboxane B2, 2, 3-dinorthrom-boxane B2, 8-epi prostaglandin F(2alpha), 8-hydroxy-2 deoxyguanosine, cis-thymidine glycol, low-density lipoprotein cholesterol and IgG) were significantly different between the group who smoked more cigarettes per day and never-smokers. These differences became more apparent and extended to the group who smoked 10 or less cigarettes per day, when total urinary recovery values were corrected for creatinine clearance. CONCLUSIONS While BoE clearly differentiate between groups based on self-declared smoking status, most BoPH examined could not do so in a consistent manner. The dynamics of BoPH levels are not well understood. Future studies of BoPH should eliminate potential confounding factors and increase the number of subjects to allow the investigation of genetic polymorphism in metabolic pathways.

UI MeSH Term Description Entries
D007074 Immunoglobulin G The major immunoglobulin isotype class in normal human serum. There are several isotype subclasses of IgG, for example, IgG1, IgG2A, and IgG2B. Gamma Globulin, 7S,IgG,IgG Antibody,Allerglobuline,IgG(T),IgG1,IgG2,IgG2A,IgG2B,IgG3,IgG4,Immunoglobulin GT,Polyglobin,7S Gamma Globulin,Antibody, IgG,GT, Immunoglobulin
D008078 Cholesterol, LDL Cholesterol which is contained in or bound to low density lipoproteins (LDL), including CHOLESTEROL ESTERS and free cholesterol. LDL Cholesterol,Cholesteryl Linoleate, LDL,LDL Cholesteryl Linoleate,Low Density Lipoprotein Cholesterol,beta-Lipoprotein Cholesterol,Cholesterol, beta-Lipoprotein,beta Lipoprotein Cholesterol
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D009538 Nicotine Nicotine is highly toxic alkaloid. It is the prototypical agonist at nicotinic cholinergic receptors where it dramatically stimulates neurons and ultimately blocks synaptic transmission. Nicotine is also important medically because of its presence in tobacco smoke. Nicotine Bitartrate,Nicotine Tartrate
D009602 Nitrosamines A class of compounds that contain a -NH2 and a -NO radical. Many members of this group have carcinogenic and mutagenic properties. Nitrosamine
D011725 Pyridines Compounds with a six membered aromatic ring containing NITROGEN. The saturated version is PIPERIDINES.
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D003849 Deoxyguanosine A nucleoside consisting of the base guanine and the sugar deoxyribose.
D005260 Female Females

Related Publications

Frazer J Lowe, and Evan O Gregg, and Michael McEwan
August 2023, Internal and emergency medicine,
Frazer J Lowe, and Evan O Gregg, and Michael McEwan
February 2023, Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals,
Frazer J Lowe, and Evan O Gregg, and Michael McEwan
July 2019, Tobacco regulatory science,
Frazer J Lowe, and Evan O Gregg, and Michael McEwan
March 2011, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco,
Frazer J Lowe, and Evan O Gregg, and Michael McEwan
June 2015, Addictive behaviors,
Frazer J Lowe, and Evan O Gregg, and Michael McEwan
November 2021, Clinical epigenetics,
Frazer J Lowe, and Evan O Gregg, and Michael McEwan
April 2003, Health services research,
Frazer J Lowe, and Evan O Gregg, and Michael McEwan
January 2021, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology,
Frazer J Lowe, and Evan O Gregg, and Michael McEwan
December 2005, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco,
Copied contents to your clipboard!