The Tobacco Constituent and Biomarker Assessment Core will provide a unique resource for Projects 1, 2 and 4. Investigators in this Core comprise one of the leading academic laboratories in the world for chemical analysis of tobacco constituents and related metabolites and biomarkers. For Project 1, the Core will quantify several important constituents of tobacco, namely tobacco alkaloids, (3-carbolines, and acetaldehyde and their biomarkers. For Projects 2 and 4, the Core will quantify certain important urinary metabolites of tobacco and tobacco smoke constituents as well as urinary metabolites related to inflammation and oxidative damage. The following urinary metabolites will be quantified: nicotine equivalents (the total of nicotine, cotinine, and trans-3'-hydroxycotinine and their glucuronides), total NNAL (the total of 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol and its glucuronides), total NNN (the total of free and glucuronidated N'-nitrosonornicotine), mercapturic acids of the volatile carcinogens 1,3-butadiene, benzene, acrolein, crotonaldehyde, and ethylene oxide, and the inflammation and oxidative damage biomarkers 11-a-hydroxy-9,15-dioxo-2,3,4,5-tetranorprostane-1,20-dioic acid (PGE-M) and 9,11,15-trihydroxyprosta-5,13-dien-1-oic acid. We will also quantify the formaldehyde-DNA adduct, N6-hydroxymethyldeoxyadenosine in leukocyte DNA, for Project 4. These biomarkers will provide crucial information for the research being carried out in Projects 1, 2 and 4.
Methods for achieving reduction in public health harm from use of tobacco products are critical for decreasing the human cancer toll of tobacco use. The biomarkers being quantified in this core are representative of many of the major carcinogenic and tumor enhancing constituents known to be present in tobacco products. Quantifying these biomarkers will provide an important tool for the evaluation of tobacco products to determine their potential impact on public health.
|Adkison, Sarah E; Rees, Vaughan W; Bansal-Travers, Maansi et al. (2016) Psychometric Characteristics of the Brief Wisconsin Inventory of Smoking Dependence Motives Among a Nonclinical Sample of Smokers. Nicotine Tob Res 18:470-6|
|Hatsukami, Dorothy K; Vogel, R I; Severson, Herb H et al. (2016) Perceived Health Risks of Snus and Medicinal Nicotine Products. Nicotine Tob Res 18:794-800|
|Bickel, Warren K; Snider, Sarah E; Quisenberry, Amanda J et al. (2016) Competing neurobehavioral decision systems theory of cocaine addiction: From mechanisms to therapeutic opportunities. Prog Brain Res 223:269-93|
|Bickel, Warren K; Moody, Lara; Higgins, Stephen T (2016) Some current dimensions of the behavioral economics of health-related behavior change. Prev Med 92:16-23|
|Wilson, A George; Franck, Christopher T; Koffarnus, Mikhail N et al. (2016) Behavioral Economics of Cigarette Purchase Tasks: Within-Subject Comparison of Real, Potentially Real, and Hypothetical Cigarettes. Nicotine Tob Res 18:524-30|
|Bickel, Warren K; Mellis, Alexandra M; Snider, Sarah E et al. (2016) Novel Therapeutics for Addiction: Behavioral and Neuroeconomic Approaches. Curr Treat Options Psychiatry 3:277-292|
|LeSage, M G; Staley, M; Muelken, P et al. (2016) Abuse liability assessment of an e-cigarette refill liquid using intracranial self-stimulation and self-administration models in rats. Drug Alcohol Depend 168:76-88|
|Adkison, Sarah E; Bansal-Travers, Maansi; Rees, Vaughan W et al. (2016) Application of the Smokeless Tobacco Expectancies Questionnaire to Snus. Am J Health Behav 40:652-8|
|Zhao, Tingting; Luo, Xianghua; Chu, Haitao et al. (2016) A two-part mixed effects model for cigarette purchase task data. J Exp Anal Behav 106:242-253|
|Ho, Yen-Yi; Starr, Timothy K; LaRue, Rebecca S et al. (2016) Case-oriented pathways analysis in pancreatic adenocarcinoma using data from a sleeping beauty transposon mutagenesis screen. BMC Med Genomics 9:16|
Showing the most recent 10 out of 31 publications