Literature DB >> 12791522

Biomarkers of tobacco exposure or harm: application to clinical and epidemiological studies. 25-26 October 2001, Minneapolis, Minnesota.

D K Hatsukami1, S S Hecht, D J Hennrikus, A M Joseph, P R Pentel.   

Abstract

Adverse outcomes from tobacco use may take decades to develop. Biomarkers are measures that can be used in the early stages of tobacco use to assess exposure to tobacco toxins or to predict adverse health outcomes with which they are associated. Examples of biomarkers include specific chemical components of tobacco or their metabolites; early biochemical, histological, or physiological effects; and early health effects. Mechanistically relevant and quantitatively valid biomarkers are essential for assessing the ultimate impact of new products, treatments, preventive measures, and public health policies on tobacco-related disease. The tobacco industry's recent introduction of a variety of new tobacco products or devices with implied claims of reduced health risks highlights the need to develop methods for assessing their potential for benefit or harm. A wide variety of biomarkers for tobacco exposure or harm has been studied. Although many questions about their use remain unanswered, substantial data exist regarding their validity and utility. This conference reviewed both the general issues surrounding biomarker use and the current state of knowledge regarding the most widely studied and promising biomarkers.

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Year:  2003        PMID: 12791522     DOI: 10.1080/1462220031000094222

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   4.244


  15 in total

Review 1.  Do smoking reduction interventions promote cessation in smokers not ready to quit?

Authors:  Taghrid Asfar; Jon O Ebbert; Robert C Klesges; George E Relyea
Journal:  Addict Behav       Date:  2011-02-12       Impact factor: 3.913

Review 2.  The feasibility of smoking reduction: an update.

Authors:  John R Hughes; Matthew J Carpenter
Journal:  Addiction       Date:  2005-08       Impact factor: 6.526

Review 3.  Biomarkers to assess the utility of potential reduced exposure tobacco products.

Authors:  Dorothy K Hatsukami; Neal L Benowitz; Stephen I Rennard; Cheryl Oncken; Stephen S Hecht
Journal:  Nicotine Tob Res       Date:  2006-08       Impact factor: 4.244

4.  Biomarkers of Tobacco Exposure: Summary of an FDA-Sponsored Public Workshop.

Authors:  Cindy M Chang; Selvin H Edwards; Aarthi Arab; Arseima Y Del Valle-Pinero; Ling Yang; Dorothy K Hatsukami
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-11-09       Impact factor: 4.254

5.  Predictors of smoking reduction among Blacks.

Authors:  Carla J Berg; Janet L Thomas; Hongfei Guo; Lawrence C An; Kolawole S Okuyemi; Tracie C Collins; Jasjit S Ahluwalia
Journal:  Nicotine Tob Res       Date:  2010-03-01       Impact factor: 4.244

6.  The Validity of Self-reported Recent Smoking in Head and Neck Cancer Surgical Patients.

Authors:  Katherine R Sterba; Kathryn E Weaver; Anthony J Alberg; Mitchell L Worley; Janet A Tooze; Jeanne L Hatcher; Matthew J Carpenter; Terry A Day; Christopher A Sullivan; Graham W Warren
Journal:  Otolaryngol Head Neck Surg       Date:  2015-07-20       Impact factor: 3.497

Review 7.  Nicotine chemistry, metabolism, kinetics and biomarkers.

Authors:  Neal L Benowitz; Janne Hukkanen; Peyton Jacob
Journal:  Handb Exp Pharmacol       Date:  2009

Review 8.  Methods for quantification of exposure to cigarette smoking and environmental tobacco smoke: focus on developmental toxicology.

Authors:  Ana Florescu; Roberta Ferrence; Tom Einarson; Peter Selby; Offie Soldin; Gideon Koren
Journal:  Ther Drug Monit       Date:  2009-02       Impact factor: 3.681

9.  Providing a Science Base for the Evaluation of Tobacco Products.

Authors:  Micah L Berman; Greg Connolly; K Michael Cummings; Mirjana V Djordjevic; Dorothy K Hatsukami; Jack E Henningfield; Matthew Myers; Richard J O'Connor; Mark Parascandola; Vaughan Rees; Jerry M Rice; Peter G Shields
Journal:  Tob Regul Sci       Date:  2015-04

10.  Comparison of Nicotine Dependence and Biomarker Levels among Traditional Cigarette, Heat-Not-Burn Cigarette, and Liquid E-Cigarette Users: Results from the Think Study.

Authors:  Guillaume Rudasingwa; Yeonjin Kim; Cheolmin Lee; Jeomkyu Lee; Seunghyun Kim; Sungroul Kim
Journal:  Int J Environ Res Public Health       Date:  2021-04-29       Impact factor: 3.390

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