National Institute on Drug Abuse
Baltimore, Maryland, 21224, United States
NCT Number: NCT01924468
Background:
- The risk for becoming addicted to drugs varies from person to person, even among those using similar drugs in a similar way. Researchers do not fully understand why some people become addicted to drugs and others do not. Studies suggest that under certain life circumstances, some genes may increase the risk for addiction. This study will use genetic information, computer tasks, magnetic resonance imaging (MRI), and other tests to see what brain networks may be related to drug addiction.
Objectives:
- To better understand brain networks that may be related to susceptibility to drug addiction.
Eligibility:
- Healthy non-smoking volunteers between 18 and 55 years of age.
Design:
* This study will have one screening visit and four all-day study visits. For male participants, the visits will be about 7 days apart over 5 to 7 weeks. Female participants will have the visits scheduled to coordinate with their menstrual cycle. * This study involves small doses of three approved drugs: two oral dopamine drugs and a nicotine patch. For each scanning session, participants will have three study drugs. However, only one pill or patch will be the real drug; the other two will be placebos. Some participants may have only placebos during a visit. * Participants will be screened with a physical exam and medical history. Blood and urine samples will be taken. Other tests will be given to ensure that participants are not smoking or using drugs while they are in the study. * During the all-day scanning visits, participants will receive two pills and one patch in the morning and they will be trained on simple computer tasks. In the afternoon, participants will have MRI scans and we will measure their brain activity while they rest and while they perform computer tasks in the scanner. Participants will also answer questionnaires during the scanning visits.
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Notify Me18 year–55 year
All sexes
Interventional
Phase 1
Baltimore, Maryland, 21224, United States
Objective. Identification of genetic risk factors predisposing to nicotine abuse and dependence, and elucidation of their neurobiological mechanisms of action, is critical to individualized treatments and prevention of nicotine addiction. Nicotine exerts its effects on the brain through nicotinic acetylcholine receptors (nAChRs). The non-synonymous single nucleotide polymorphism (SNP) rs16969968 in the CHRNA5 gene encoding the 5 subunit of nAChRs has been unequivocally associated with smoking behavior and nicotine dependence in genome-wide association studies (GWAS). At the brain level, the salience network (SN) or the neural circuitry connecting the anterior insula (AI), dorsal anterior cingulate cortex (dACC), the ventral striatum (VS), and extended amygdala has been shown to be crucially involved in nicotine addiction. The SN detects salient events and initiates a rapid switch between large-scale brain networks, the default-mode network (DMN) and executive control network (ECN), in control of behavior. Genetic influences on the SN may therefore explain some of the individual differences in susceptibility to addiction. We have previously shown that resting-state connectivity of the SN is decreased in smokers and non-smokers with the rs16969968 risk allele. But the underlying neurobiological processes are still unknown. Given a well-established role of dopamine (DA) in addiction, and the presence of nAChRs on DA neurons, one plausible mechanism involves cholinergic modulation of DA transmission. Consequently, we will employ an integrative imaging pharmacogenetics approach to test for DA mediation of the rs16969968 effects on the SN in healthy non-smoking participants, with the goal of elucidating the neurobiological mechanism underlying the association between this SNP and susceptibility to nicotine dependence without the confound of chronic smoking.
Study Population. Sixty pre-screened participants will be classified into two equal groups (n = 30 per group) based on their rs16969968 genotype: 1) rs16969968 risk allele homozygotes, or A/A genotype ( Risk Group ); and 2) rs16969968 non-risk allele homozygotes, or G/G genotype ( Non-Risk Group ). Participants will be healthy, right-handed males and females, aged 18-55, non-smokers and free of lifetime substance dependence.
Design. A double-blind, placebo-controlled crossover design will be used. Each participant will complete a screening session (under the Screening Protocol 06-DA-N415); an orientation session, which will include a nicotine patch tolerance test; and 4 imaging visits, each with a different pharmacological pre-treatment prior to scanning: 1) placebo pill + placebo patch; 2) 20 mg oral methylphenidate + placebo patch; 3) 2 mg oral haloperidol + placebo patch; and 4) placebo pill + 7 mg nicotine patch.
Outcome Measures. The study will use neuroimaging (fMRI) to assess the impact of rs16969968 genotype and drug condition (MPH vs. haloperidol vs. nicotine vs. placebo) on the SN, ECN, and DMN function at rest and during task performance. The primary outcome measures will be: 1) network coherence, as indexed by resting-state and task-related functional connectivity (FC); 2) dynamic task-related interactions; and 3) behavioral task performance. We will also test for genetic effects on 4) self-report measures of impulsivity and other traits associated with addiction susceptibility.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
The inclusion criteria are as follows:
become enrolled in the study. The enrollment will be open to all racial and ethnic groups, including Caucasians, African Americans, and Asians, as well as Hispanic and non-Hispanics, and we will make an effort to include all racial and ethnic groups as long as all participants meet the rs16969968 genotype criteria. Justification: The allele frequencies at the rs16969968 locus vary greatly between racial and ethnic groups, making it extremely difficult to ensure a balance of ethnicities across the genotype groups. In particular, the minor A allele of rs16969968 (the Risk allele in the current study), associated with increased risk of heavy smoking and nicotine dependence, has a frequency of 0.42 in Caucasians, but is very rare in Asians (0.03) and African Americans (0.07) (Saccone et al., 2010b). Therefore, assuming Hardy-Weinberg Equilibrium, we will need to recruit approximately 275 Caucasian subjects in order to
meet the enrollment target of n = 40 per genotype group (i.e., 40 A/A and 40 G/G), with the A/A homozygotes being the limiting factor. For comparison, because the A/A is very rare in African Americans (0.0049; or 49 in 10,000), we would need to recruit over 8,000 African American subjects to meet our enrollment target of n = 40 for that ethnic group; if we aimed at only 20 African American subjects in our sample (closer to the distribution in the Baltimore area), we would still have to recruit over 4,000 African American subjects. The frequency of the A/A homozygotes in Asian population is even more daunting (0.0009; or 9 in 10,000). Importantly, because the association between the rs16969968 locus and nicotine addiction severity has been demonstrated in all three ethnic groups in a recent meta-analysis (Chen et al., 2012), we argue that the racial and ethnic groups not enrolled in the current study will still benefit from basic, mechanistic knowledge gained from this study if translated to clinical treatment and prevention of nicotine abuse and dependence in the future. The estimated number of potential participants to be screened is 300. Assessment tools: Genotype group membership will be determined by genotyping. Racial and ethnic group membership will be initially determined by self-report. Additionally, we will examine ancestry information markers to verify and extend the self-reported ethnic background and to test for possible modulatory effects of specific genetic-ancestry groups with respect to the rs16969968 effects in our data.
Exclusion criteria
Participants will be excluded if they:
The MAI will retain discretion to exclude based on less extreme lab results. After the screening process has been completed, the MAI will take into account all data collected in order to decide if there is an existing medical illness that would compromise participation in this research.
Time frame: 5 months
National Institute on Drug Abuse (NIDA)
Nih
The Impact of Genetic Variation In Nicotinic Cholinergic Receptors on Functional Brain Networks Underlying Addiction Susceptibility
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