Literature DB >> 20379614

Personalized smoking cessation: interactions between nicotine dose, dependence and quit-success genotype score.

Jed E Rose1, Frédérique M Behm, Tomas Drgon, Catherine Johnson, George R Uhl.   

Abstract

Improving and targeting nicotine replacement therapy (NRT) are cost-effective strategies for reducing adverse health consequences for smokers. Treatment studies document the efficacy of precessation NRT and support important roles for level of nicotine dependence and precessation smoking reduction in successful quitting. However, prior work has not identified the optimal precessation dose or means for personalizing NRT. Genome-wide association has identified groups of genomic markers associated with successful quitting, allowing us to develop a v1.0 "quit-success" genotype score. We now report influences of v1.0 quit-success genotype score, level of dependence and precessation smoking reduction in a smoking cessation trial that examined effects of 21 versus 42 mg/24 h precessation NRT. Four hundred seventy-nine smokers were randomized to 21 or 42 mg NRT, initiated 2 wks prior to target quit dates. We monitored self-reported abstinence and end-expired air carbon monoxide (CO). Genotyping used Affymetrix arrays (Santa Clara, CA, USA). The primary outcome was 10-wk continuous smoking abstinence. NRT dose, level of nicotine dependence and genotype scores displayed significant interactive effects on successful quitting. Successful abstinence also was predicted by CO reductions during precessation NRT. These results document ways in which smoking cessation strategies can be personalized based on levels of nicotine dependence, genotype scores and CO monitoring. These assessments, taken together, can help match most smokers with optimal NRT doses and help rapidly identify some who may be better treated using other methods.

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Year:  2010        PMID: 20379614      PMCID: PMC2896464          DOI: 10.2119/molmed.2009.00159

Source DB:  PubMed          Journal:  Mol Med        ISSN: 1076-1551            Impact factor:   6.354


  37 in total

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  67 in total

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Review 2.  Mouse models for studying genetic influences on factors determining smoking cessation success in humans.

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Review 8.  Biomarkers for smoking cessation.

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9.  Combination treatment with varenicline and bupropion in an adaptive smoking cessation paradigm.

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10.  Nicotinic acetylcholine receptor variation and response to smoking cessation therapies.

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Journal:  Pharmacogenet Genomics       Date:  2013-02       Impact factor: 2.089

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