Arthur L Brody1, Alexey G Mukhin2, Michael S Mamoun3, Trinh Luu3, Meaghan Neary3, Lidia Liang3, Jennifer Shieh3, Catherine A Sugar4, Jed E Rose2, Mark A Mandelkern5. 1. Department of Research, VA Greater Los Angeles Healthcare System, Los Angeles, California2Department of Psychiatry, University of California, Los Angeles. 2. Department of Psychiatry, Duke University, Durham, North Carolina. 3. Department of Research, VA Greater Los Angeles Healthcare System, Los Angeles, California. 4. Department of Psychiatry, University of California, Los Angeles4Department of Biostatistics, University of California, Los Angeles. 5. Department of Research, VA Greater Los Angeles Healthcare System, Los Angeles, California5Department of Physics, University of California, Irvine.
Abstract
IMPORTANCE: Cigarette smoking leads to upregulation of nicotinic acetylcholine receptors (nAChRs) in the human brain, including the common α4β2* nAChR subtype. While subjective aspects of tobacco dependence have been extensively examined as predictors of quitting smoking with treatment, no studies to our knowledge have yet reported the relationship between the extent of pretreatment upregulation of nAChRs and smoking cessation. OBJECTIVE: To determine whether the degree of nAChR upregulation in smokers predicts quitting with a standard course of treatment. DESIGN, SETTING, AND PARTICIPANTS: Eighty-one tobacco-dependent cigarette smokers (volunteer sample) underwentpositron emission tomographic (PET) scanning of the brain with the radiotracer 2-FA followed by 10 weeks of double-blind, placebo-controlled treatment with nicotine patch (random assignment). Pretreatment specific binding volume of distribution (VS/fP) on PET images (a value that is proportional to α4β2* nAChR availability) was determined for 8 brain regions of interest, and participant-reported ratings of nicotine dependence, craving, and self-efficacy were collected. Relationships between these pretreatment measures, treatment type, and outcome were then determined. The study took place at academic PET and clinical research centers. MAIN OUTCOMES AND MEASURES: Posttreatment quit status after treatment, defined as a participant report of 7 or more days of continuous abstinence and an exhaled carbon monoxide level of 3 ppm or less. RESULTS: Smokers with lower pretreatment VS/fP values (a potential marker of less severe nAChR upregulation) across all brain regions studied were more likely to quit smoking (multivariate analysis of covariance, F8,69 = 4.5; P < .001), regardless of treatment group assignment. Furthermore, pretreatment average VS/fP values provided additional predictive power for likelihood of quitting beyond the self-report measures (stepwise binary logistic regression, likelihood ratio χ21 = 19.8; P < .001). CONCLUSIONS AND RELEVANCE: Smokers with less upregulation of availableα4β2* nAChRs have a greater likelihood of quitting with treatment than smokers with more upregulation. In addition, the biological marker studied here provided additional predictive power beyond subjectively rated measures known to be associated with smoking cessation outcome. While the costly, time-consuming PET procedure used here is not likely to be used clinically, simpler methods for examining α4β2* nAChR upregulation could be tested and applied in the future to help determine which smokers need more intensive and/or lengthier treatment. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT01526005.
RCT Entities:
IMPORTANCE: Cigarette smoking leads to upregulation of nicotinic acetylcholine receptors (nAChRs) in the human brain, including the common α4β2* nAChR subtype. While subjective aspects of tobacco dependence have been extensively examined as predictors of quitting smoking with treatment, no studies to our knowledge have yet reported the relationship between the extent of pretreatment upregulation of nAChRs and smoking cessation. OBJECTIVE: To determine whether the degree of nAChR upregulation in smokers predicts quitting with a standard course of treatment. DESIGN, SETTING, AND PARTICIPANTS: Eighty-one tobacco-dependent cigarette smokers (volunteer sample) underwent positron emission tomographic (PET) scanning of the brain with the radiotracer 2-FA followed by 10 weeks of double-blind, placebo-controlled treatment with nicotine patch (random assignment). Pretreatment specific binding volume of distribution (VS/fP) on PET images (a value that is proportional to α4β2* nAChR availability) was determined for 8 brain regions of interest, and participant-reported ratings of nicotine dependence, craving, and self-efficacy were collected. Relationships between these pretreatment measures, treatment type, and outcome were then determined. The study took place at academic PET and clinical research centers. MAIN OUTCOMES AND MEASURES: Posttreatment quit status after treatment, defined as a participant report of 7 or more days of continuous abstinence and an exhaled carbon monoxide level of 3 ppm or less. RESULTS: Smokers with lower pretreatment VS/fP values (a potential marker of less severe nAChR upregulation) across all brain regions studied were more likely to quit smoking (multivariate analysis of covariance, F8,69 = 4.5; P < .001), regardless of treatment group assignment. Furthermore, pretreatment average VS/fP values provided additional predictive power for likelihood of quitting beyond the self-report measures (stepwise binary logistic regression, likelihood ratio χ21 = 19.8; P < .001). CONCLUSIONS AND RELEVANCE: Smokers with less upregulation of available α4β2* nAChRs have a greater likelihood of quitting with treatment than smokers with more upregulation. In addition, the biological marker studied here provided additional predictive power beyond subjectively rated measures known to be associated with smoking cessation outcome. While the costly, time-consuming PET procedure used here is not likely to be used clinically, simpler methods for examining α4β2* nAChR upregulation could be tested and applied in the future to help determine which smokers need more intensive and/or lengthier treatment. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT01526005.
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