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The Journal of Neuroscience logoLink to The Journal of Neuroscience
. 2012 Jul 4;32(27):9344–9350. doi: 10.1523/JNEUROSCI.1260-12.2012

Striatal Dopamine Release and Genetic Variation of the Serotonin 2C Receptor in Humans

Brian J Mickey 1,, Benjamin J Sanford 1, Tiffany M Love 1, Pei-Hong Shen 2, Colin A Hodgkinson 2, Christian S Stohler 3, David Goldman 2, Jon-Kar Zubieta 1
PMCID: PMC3431013  NIHMSID: NIHMS391450  PMID: 22764241

Abstract

Mesoaccumbal and nigrostriatal projections are sensitive to stress, and heightened stress sensitivity is thought to confer risk for neuropsychiatric disorders. Serotonin 2C (5-HT2C) receptors mediate the inhibitory effects of serotonin on dopaminergic circuitry in experimental animals, and preclinical findings have implicated 5-HT2C receptors in motivated behaviors and psychotropic drug mechanisms. In humans, a common missense single-nucleotide change (rs6318, Cys23Ser) in the 5-HT2C receptor gene (HTR2C) has been associated with altered activity in vitro and with clinical mood disorders. We hypothesized that dopaminergic circuitry would be more sensitive to stress in humans carrying the Ser23 variant. To test this hypothesis, we studied 54 healthy humans using positron emission tomography and the displaceable D2/D3 receptor radiotracer [11C]raclopride. Binding potential (BPND) was quantified before and after a standardized stress challenge consisting of 20 min of moderate deep muscular pain, and reduction in BPND served as an index of dopamine release. The Cys23Ser variant was genotyped on a custom array, and ancestry informative markers were used to control for population stratification. We found greater dopamine release in the nucleus accumbens, caudate nucleus, and putamen among Ser23 carriers, after controlling for sex, age, and ancestry. Genotype accounted for 12% of the variance in dopamine release in the nucleus accumbens. There was no association of Cys23Ser with baseline BPND. These findings indicate that a putatively functional HTR2C variant (Ser23) is associated with greater striatal dopamine release during pain in healthy humans. Mesoaccumbal stress sensitivity may mediate the effects of HTR2C variation on risk of neuropsychiatric disorders.

Introduction

Disturbances of dopaminergic projections from midbrain to striatum have been implicated in mood disorders, psychotic disorders, and addictions. Furthermore, dopaminergic circuitry is sensitive to stress in experimental animals (Berton et al., 2006; Cao et al., 2010; Ungless et al., 2010; Cabib and Puglisi-Allegra, 2012) and humans (Scott et al., 2006; Borsook et al., 2010; Admon et al., 2012), suggesting that this system may mediate the effects of stress on psychiatric disease in vulnerable individuals. Given the heritability of these diseases, a better understanding of their origins may come from identifying genetic variants that influence dopaminergic circuitry and disease vulnerability.

Serotonin 2C (5-HT2C) receptors regulate dopaminergic circuitry in experimental animals. Serotonin activates 5-HT2C receptors on midbrain interneurons and dopamine neurons, suppressing local dopaminergic cell activity (Eberle-Wang et al., 1997; Di Giovanni et al., 2001; Berg et al., 2008). Activation of 5-HT2C receptors reduces striatal dopamine release, while antagonists of 5-HT2C receptors increase striatal dopamine (Berg et al., 2008; Di Matteo et al., 2008; Egerton et al., 2008). Pharmacologic or genetic manipulations of 5-HT2C receptors alter locomotor responses, the reinforcing value of psychostimulants, food intake and obesity, and the behavioral effects of antidepressants and antipsychotics (Tecott et al., 1995; Rocha et al., 2002; Cannon et al., 2004; Giorgetti and Tecott, 2004; Abdallah et al., 2009).

5-HT2C receptors have been implicated in stress, anxiety, and pain. Manipulation of 5-HT2C receptors in experimental animals causes anxiety and alters behavioral and neuroendocrine responses to various forms of stress (Kahn and Wetzler, 1991; Bagdy et al., 2001; Burghardt et al., 2007; Heisler et al., 2007; Hawkins et al., 2008; Christianson et al., 2010; Strong et al., 2011). Several reports have implicated 5-HT2C receptors in pain-stress and spinal mechanisms of neuropathic pain (Jeong et al., 2004; Obata et al., 2004; Hawkins et al., 2008; Nakae et al., 2008; Liu et al., 2010; Brasch-Andersen et al., 2011). How these receptors might be involved in the response to pain in central stress-sensitive circuitry such as the mesolimbic pathway remains unclear.

5-HT2C receptors have been linked to neuropsychiatric disorders (Drago and Serretti, 2009). The single nucleotide variant Cys23Ser (rs6318) in the human 5-HT2C receptor gene (HTR2C) has been a focus of attention because a serine is substituted for a cysteine in the extracellular N terminus of the receptor, potentially altering the protein's structure or stability by eliminating a disulfide bond (Lappalainen et al., 1995). The Ser23 variant has been associated with greater constitutive activity, lower affinity, and altered resensitization in some assay systems (Lappalainen et al., 1995; Okada et al., 2004; Fentress et al., 2005; Walstab et al., 2011). A genetic association study linked Ser23 with recurrent major depression and bipolar disorder (Lerer et al., 2001).

We hypothesized that stress-sensitivity of the dopamine system would be greater among individuals carrying the HTR2C Ser23 variant. To test this possibility, we genotyped healthy humans who participated in a pain challenge—a controlled physical and emotional stressor that is valid across species—during positron emission tomography (PET) with the D2/D3 receptor tracer [11C]raclopride.

Materials and Methods

Subjects.

Fifty-four healthy, right-handed adults (60% female; mean age, 27 years; SD, 5 years; range, 19–40 years) completed PET and provided blood for genetic analyses. PET data from 17 of these subjects have been reported previously (Scott et al., 2006) and are reanalyzed here. Participants had no personal history of major medical illness or psychiatric disorder, including substance use disorders. They were not taking medications with CNS activity (including birth control pills and other exogenous hormones) and they were instructed to abstain from all psychoactive substances for 24 h before the study. Women were studied in the follicular phase of the menstrual cycle (days 4–10). Written informed consent was obtained and all procedures were approved by the Institutional Review Board and Radioactive Drug Research Committee at the University of Michigan.

Positron emission tomography.

Striatal D2/D3 receptor availability was quantified with PET and the displaceable radiotracer [11C]raclopride, as described previously (Scott et al., 2006). In brief, [11C]raclopride was synthesized at high specific activity (>2000 Ci/mmol) by reaction of O-desmethyl-raclopride with [11C]methyl-triflate. Fifty percent of the radiotracer dose was administered as a bolus and the remainder as a continuous infusion to more rapidly achieve constant tracer levels (total mean ± SD administered, 15.0 ± 2.2 mCi). Under these conditions, equilibrium across kinetic compartments is achieved after ∼35 min (Carson et al., 1997). PET scans were acquired with a Siemens HR+ scanner in 3-D mode, with a reconstructed full-width-at-half-maximum resolution of 5.5 mm in-plane and 5.0 mm axially. Twenty-eight image frames of increasing duration were acquired over 90 min.

The stress challenge consisted of moderate, sustained, muscular pain, as described previously (Scott et al., 2006). A fine-gauge needle was inserted into the left masseter muscle before the scan. During the baseline period (0–45 min after radiotracer administration) isotonic saline (0.9%) was infused, which in all cases caused no pain. Participants were not told at what point during the scan pain would begin, so an expectation of pain was created during the baseline period. Beginning at 45 min, infusion of hypertonic saline (5%) maintained a steady level of pain for 20 min. Pain intensity was rated every 15 s from 0 (no pain) to 100 (most intense pain imaginable) using a visual analog scale, and a computer controller adjusted the infusion to maintain the pain near a target of 40 visual analog units. Pain sensitivity was calculated as the average visual analog intensity rating divided by the total volume of infused hypertonic saline. Immediately after the pain challenge, participants completed the McGill Pain Questionnaire (MPQ) (Melzack and Torgerson, 1971), which reflects an individual's overall subjective experience, as measured by weighted pain descriptors. Subjective emotional state was assessed before the challenge (baseline) and after the challenge using the Positive and Negative Affect Schedule (PANAS) (Watson and Clark, 1994).

Dynamic image data were transformed voxelwise into two sets of images: a tracer transport measure (K1 ratio) and a receptor-related measure, the nondisplaceable binding potential (BPND) relative to a cerebellar reference region (Carson et al., 1997; Watabe et al., 2000; Love et al., 2012). BPND measures were calculated for the period before pain (35–45 min after tracer infusion) and during and immediately after pain (60–80 min). Reduction in BPND during the pain-stress challenge is thought to reflect release of dopamine and competition between radiotracer and endogenous ligand (Laruelle, 2000), but changes in dopamine receptor concentration or affinity cannot be ruled out with this method. Images were spatially normalized to standardized space (Montreal Neurological Institute, MNI). Mean BPND values were extracted from regions of interest (shown in Fig. 1B) using the MarsBaR toolbox (Brett et al., 2002). Nucleus accumbens regions were defined by two spheres of 5 mm radius centered at MNI coordinates ±10, 10, −10. Caudate and putamen regions were based on the Talairach atlas as implemented in the Wake Forest University PickAtlas toolbox (Lancaster et al., 2000; Maldjian et al., 2003).

Figure 1.

Figure 1.

Effects of pain-stress on striatal dopamine release as a function of HTR2C genotype. A, Stress-induced dopamine release, expressed as percentage change in D2/D3 binding potential (BPND) relative to baseline, in three striatal regions of interest. Positive change represents pain-induced decrease in BPND, which reflects dopamine release. Error bars indicate SEM. B, Nucleus accumbens, caudate nucleus, and putamen regions of interest are shown over a coronal MRI section in standardized space (y = 10). C, Stress-induced dopamine release versus HTR2C genotype for the 3-group classification.

Genetics.

Approximately 6 ml of whole blood was collected during the PET scan. DNA was extracted and genotyped on an Illumina GoldenGate platform as previously described (Hodgkinson et al., 2008). The HTR2C single nucleotide polymorphism Cys23Ser (rs6318) was selected because this variant substitutes a serine for a cysteine in the putative extracellular N terminus of the receptor, increasing the likelihood of functional effects (Lappalainen et al., 1995). Because HTR2C is on the X chromosome, males are hemizygous (Cys or Ser), and females may be homozygous or heterozygous (Cys/Cys, Cys/Ser, or Ser/Ser). The HTR2C gene is subject to X inactivation in females. Genotype frequencies were in Hardy-Weinberg equilibrium.

For hypothesis testing, participants were classified as Ser23 carriers and non-carriers (Ser23-dominant model, Table 1) in accord with a previous association study (Lerer et al., 2001). Other classifications were explored post hoc. Gene effects were examined in females and males separately, excluding the single Ser/Ser participant. Because male hemizygotes are in theory functionally equivalent to female homozygotes, we also explored a 3-group classification: Cys/Cys or Cys versus Cys/Ser versus Ser/Ser or Ser.

Table 1.

HTR2C Cys23Ser genotypes of the study sample

Genotype group N
All 54
Cys/Cys female 24
Cys/Ser female 6
Ser/Ser female 1
Cys male 19
Ser male 4
Cys/Cys and Cys 43
Ser carrier 11

To control for population stratification, samples were genotyped for 186 ancestry informative markers (AIMs) using an Illumina GoldenGate assay as described previously (Hodgkinson et al., 2008). Factor analysis resulted in a seven-factor solution which yielded ethnic factor scores for each individual. In our sample, the mean (median) ancestry factor scores were as follows: Europe, 0.67 (0.94); Africa, 0.14 (0.001); Asia, 0.10 (0.02); Middle East, 0.06 (0.02); East Asia, 0.02 (0.003); America, 0.008 (0.003); Oceania, 0.004 (0.002). Because factor scores were correlated and the sample was predominantly Caucasian, the Europe factor score was included as a covariate in all analyses to account for ancestral variability in allele frequency.

Statistical analysis.

Initial power analysis indicated that, with group sizes of 11 and 43, we would have ∼80% power to detect a standardized effect size of ∼1.0 with a 5% type I error rate (Kraemer and Thiemann, 1987). To test our primary hypothesis that Cys23Ser would be associated with dopaminergic neurotransmission, we used a multivariate repeated-measures general linear model (PASW Statistics 18.0, Chicago, IL). The dependent variables were BPND in each of the three regions of interest (nucleus accumbens, caudate nucleus, and putamen) before and after pain. Left and right were averaged because pain activates the striatum bilaterally (Scott et al., 2006), and we had no basis for hypothesizing lateralized gene effects. The Hotelling multivariate test accounted for testing of three brain regions. Pain condition was the within-subject factor. Ser23 carrier classification (Table 1) was the between-subjects factor. Sex, age, and AIMs Europe factor score were included as covariates in all statistical models because Cys23Ser distribution varies with ancestry (Lerer et al., 2001; Drago and Serretti, 2009), because HTR2C is X-linked, and because of previous reports that D2/D3 receptor availability and dopamine release vary with sex and age (Pohjalainen et al., 1998; Munro et al., 2006). Furthermore, our own data showed that age and sex were associated with BPND (see Results). Where statistically significant effects were found with the general linear model, to aid interpretation, we computed the percentage change in BPND as an index of dopamine release.

Psychophysical measures of pain and emotion were also analyzed with a general linear model. As for the PET analysis, Ser23 carrier classification was the between-subjects factor, and sex, age, and AIMs Europe factor score were included as covariates. Highly skewed measures (pain sensitivity, MPQ Affect subscale, PANAS Negative subscale) were transformed to normal scores before analysis (Blom proportion estimation, PASW Statistics 18.0).

Results

Fifty-four individuals completed PET and the pain-stress challenge. Participants were classified as carriers or non-carriers of the HTR2C Ser23 allele (Table 1). Pain intensity ratings during the challenge were not associated with Ser23 carrier status (Table 2), demonstrating that the challenge paradigm resulted in comparable levels of subjective pain for the two groups. A trend toward greater pain sensitivity (ratio of pain intensity rating to volume of saline administered) was found among Ser23 carriers (Table 2). Cys23Ser genotype was not associated with emotion ratings on the Positive and Negative Affect Schedule prechallenge or postchallenge (Table 2). Scores on the McGill Pain Questionnaire, which reflected an individual's overall qualitative experience of pain immediately after the challenge, were greater among Ser23 carriers (Table 2).

Table 2.

HTR2C Ser23 carrier status and psychophysical measures during the pain-stress challenge

Mean (SD)
pa F(1,49)
Cys23 only n = 43 Ser23 carrier n = 11
Pain intensity (visual analog scale) 32 (12) 39 (11) 0.12 2.49
Saline infusion volume (ml) 2.9 (1.2) 2.2 (1.3) 0.12 2.57
Pain sensitivity (intensity / saline volume) 1.6 (1.5) 3.1 (3.3) 0.07 3.52
PANAS Positive subscale, before pain 14.5 (6.9) 16.5 (7.2) 0.41b 0.69b
PANAS Positive subscale, after pain 9.9 (7.0) 11.0 (7.0) 0.64c 0.22c
PANAS Negative subscale, before pain 3.2 (3.6) 8.1 (12.5) 0.22b 1.53b
PANAS Negative subscale, after pain 3.3 (5.4) 5.8 (5.9) 0.72c 0.13c
MPQ Total 23.1 (9.4) 31.9 (14.3) 0.023 5.48
    Sensory subscale 15.1 (6.2) 20.1 (8.5) 0.040 4.45
    Affect subscale 1.6 (2.5) 2.6 (3.1) 0.21 1.61
    Evaluative subscale 1.8 (1.3) 2.6 (1.3) 0.09 2.97
    Miscellaneous subscale 4.7 (2.2) 6.6 (3.6) 0.039 4.51
MPQ Present Pain Intensity subscale 2.3 (0.7) 2.6 (0.7) 0.40 0.71

PANAS, Positive and Negative Affect Schedule; MPQ, McGill Pain Questionnaire. Bold indicates p < 0.05.

ap values represent the effect of Ser23 carrier status on each psychophysical variable, separately evaluated using a general linear model, adjusted for sex, age, and European ancestry factor score.

bSer23 main effect, repeated-measures model.

cPain × Ser23 interaction, repeated-measures model.

Striatal D2/D3 receptor BPND was quantified before and after pain, and genetic association with BPND was tested using a repeated-measures general linear model. Sex, age, and ancestry were included as covariates for the following reasons. In agreement with previous reports (Pohjalainen et al., 1998; Munro et al., 2006), we found that BPND was associated with sex (main effect, p = 0.009, F(3,50) = 4.35; sex-by-pain interaction, p = 0.013, F(3,50) = 3.96; multivariate test) and age (main effect, p = 0.005, F(3,50) = 4.78; age-by-pain interaction, p = 0.58, F(3,50) = 0.66; multivariate test). Furthermore, previous work showed that HTR2C allelic distribution varies with ancestry (Lerer et al., 2001; Drago and Serretti, 2009). The repeated-measures general linear model demonstrated a significant interaction between Ser23 carrier status and pain condition, and no main effect of Ser23 (Table 3).

Table 3.

HTR2C genotype and D2/D3 binding potential during the pain-stress challenge

Accumbens Caudate Putamen Multivariate
Primary analysis: Ser23 dominant model (Ser23 carrier versus non-carrier)a
        Main effect of Ser23 0.31 (1.06, 0.021) 0.61 (0.27, 0.005) 0.22 (1.57, 0.031) 0.62 (0.60, 0.037)
        Pain × Ser23 0.003 (10.05, 0.170) 0.037 (4.62, 0.086) 0.034 (4.76, 0.089) 0.028 (3.30, 0.174)
        df 1, 49 1, 49 1, 49 3, 47
Exploratory analyses
    Ser23 dominant model with pain covariatesb
        Main effect of Ser23 0.33 (0.98, 0.020) 0.85 (0.04, 0.001) 0.52 (0.43, 0.009) 0.81 (0.33, 0.021)
        Pain × Ser23 0.007 (8.07, 0.147) 0.12 (2.51, 0.051) 0.12 (2.47, 0.050) 0.040 (3.00, 0.167)
        df 1, 47 1, 47 1, 47 3, 45
    Three-group modelc
        Main effect of group 0.46 (0.79, 0.032) 0.21 (1.64, 0.064) 0.14 (2.09, 0.080) 0.56 (0.82, 0.052)
        Pain × group 0.005 (5.86, 0.196) 0.08 (2.67, 0.100) 0.06 (2.99, 0.111) 0.09 (1.89, 0.112)
        df 2, 48 2, 48 2, 48 6, 90
    Females onlyd
        Main effect of group 0.15 (2.19, 0.078) 0.14 (2.31, 0.082) 0.033 (5.08, 0.163) 0.20 (1.69, 0.174)
        Pain × group 0.025 (5.69, 0.180) 0.12 (2.54, 0.089) 0.09 (3.14, 0.108) 0.18 (1.76, 0.180)
        df 1, 26 1, 26 1, 26 3, 24
    Males onlye
        Main effect of group 0.65 (0.22, 0.011) 0.31 (1.08, 0.054) 0.20 (1.79, 0.086) 0.61 (0.63, 0.100)
        Pain × group 0.022 (6.18, 0.245) 0.16 (2.15, 0.102) 0.17 (2.05, 0.097) 0.16 (1.94, 0.255)
        df 1, 19 1, 19 1, 19 3, 17

p values are shown for the repeated-measures multivariate general linear model. In parentheses are the F statistic and partial η2 (a measure of effect size). p values for individual regions are uncorrected. The Hotelling multivariate test (right-hand column) accounts for multiple comparisons across the three regions. Dependent variables are binding potential in three regions of interest before and after the pain challenge. df, Degrees of freedom. Bold indicates p < 0.05.

aPrimary model: between-subjects factor is Ser23 carrier status; covariates are sex, age, and European ancestry score.

bBetween-subjects factor is Ser23 carrier status; covariates are sex, age, European ancestry factor score, pain sensitivity, and McGill Pain Questionnaire total score.

cBetween-subjects factor is genotype group (Cys/Cys or Cys; Cys/Ser; Ser/Ser or Ser); covariates are sex, age, and European ancestry score.

dBetween-subjects factor is genotype group (Cys/Cys versus Cys/Ser); covariates are age and European ancestry score; Ser/Ser participant was excluded.

eBetween-subjects factor is genotype group (Cys versus Ser); covariates are age and European ancestry score.

To interpret these findings, we calculated the fractional change in BPND as an index of pain-induced dopamine release, and found that release was greater among Ser23 carriers for all three striatal regions of interest (Fig. 1A,B). Genotype accounted for 12%, 5%, and 7% of the variance in dopamine release in the nucleus accumbens, caudate, and putamen, respectively (standardized effect size, 0.7–1.0). Dopamine release in the nucleus accumbens actually decreased post-pain in the Cys23 group, on average (Fig. 1A), indicating greater synaptic dopamine release during anticipation of pain than during the subsequent experience of pain. Ser23 was not associated with baseline BPND (p = 0.30, multivariate general linear model, controlling for sex, age, and ancestry).

To explore whether the association of Cys23Ser with dopamine release could be accounted for by differences in sensitivity to sustained pain or overall pain experience, we added pain sensitivity and total McGill pain score as covariates in the repeated-measures model. Including these covariates weakened the Pain × Ser23 interaction in caudate and putamen, but the effect in the nucleus accumbens persisted (Table 3). We also explored an alternative 3-group genotype classification scheme, and examined gene effects in females and males separately. Similar effects of the Ser23 allele were observed in those analyses, especially in the nucleus accumbens (Table 3, Fig. 1C).

Discussion

Based on the pivotal role of 5-HT2C receptors in the regulation of mesoaccumbal dopamine in experimental animals, we hypothesized that a putatively functional variant of the HTR2C gene would be associated with dopaminergic function in humans exposed to a salient, stressful stimulus—a standardized pain challenge. We found that carriers of the HTR2C Ser23 allele had greater release of dopamine in all striatal regions, but especially in the nucleus accumbens, where genotype accounted for 12% of the variance in dopamine release. To our knowledge, this is the first evidence for an effect of the Cys23Ser polymorphism on dopaminergic responses in humans.

We observed the association of Ser23 with dopamine release while controlling for sex, age, and ancestry. Adjusting for these variables is important for several reasons. First, genetic associations are vulnerable to the confounding effects of population stratification, and variation in Cys23Ser allele frequencies across ethnicities has been described (Lerer et al., 2001; Drago and Serretti, 2009). Second, HTR2C is on the X chromosome, so sex differences are possible in principle. Third, sex and age effects on D2/D3 receptor availability and dopamine release have been reported (Pohjalainen et al., 1998; Munro et al., 2006). For those reasons, we characterized each subject's genetic background by genotyping ancestry informative markers, and ancestry, sex, and age were included in all statistical models. We also detected the genetic association in males and females separately. That a genetic effect was observed regardless of sex, age, and ancestry strongly suggests that the association between Cys23Ser and dopamine release is not simply an artifact of population stratification or demographic factors. We cannot rule out the possibility that a genetic locus in strong linkage disequilibrium with Cys23Ser may be the actual causal factor, but there is currently no better candidate than Cys23Ser itself.

How the Cys23Ser polymorphism impacts 5-HT2C receptor function is not altogether clear. The Ser23 variant lacks a cysteine residue in the putative extracellular N terminus of the receptor, which potentially eliminates a disulfide bond. In vitro functional studies have been discrepant, but the discrepancies might be accounted for by differences in assay systems. The Ser23 variant had lower high-affinity binding (but not low-affinity binding) and a steeper intracellular calcium response curve in COS-7 cells (Okada et al., 2004), greater constitutive activity in an Sf9 cell G-protein reconstitution system (Okada et al., 2004), and greater cell surface expression and faster resensitization following inverse agonist treatment in HEK293 cells (Walstab et al., 2011). On the other hand, in HEK293 and NIH-3T3 cells, no differences between Ser23 and Cys23 variants were found in cellular localization, high-affinity binding, phosphoinositide signaling, constitutive activity, or homodimerization (Fentress et al., 2005) and no differences were seen in frog oocytes under baseline conditions (Lappalainen et al., 1995). In addition to the usual difficulties in extrapolating in vitro findings to the intact nervous system, 5-HT2C receptors are subject to an extraordinary degree of region-specific RNA editing (Niswender et al., 2001; Gurevich et al., 2002; Berg et al., 2008; Drago and Serretti, 2009; Iwamoto et al., 2009), so additional in vivo studies of Ser23 variant function are needed.

5-HT2C receptors are thought to mediate the inhibitory effects of serotonin on mesoaccumbal function (Eberle-Wang et al., 1997; Di Giovanni et al., 2001; Berg et al., 2008; Di Matteo et al., 2008; Egerton et al., 2008), so our finding of greater stress-induced dopamine release among Ser23 carriers would be consistent with weaker serotonergic modulation of mesoaccumbal projections in those individuals. There are several plausible mechanisms that might contribute. Release of serotonin in the ventral tegmental area (VTA) normally activates inhibitory interneurons via 5-HT2C receptors, increasing local inhibition of VTA dopamine neurons, and reducing dopamine release in the striatum. This mechanism would be less efficient among Ser23 carriers if this receptor variant had lower affinity for endogenous serotonin (Okada et al., 2004), or if this variant had a smaller dynamic response to endogenous serotonin as a result of greater constitutive activity (Okada et al., 2004). 5-HT2C receptors are also expressed by VTA dopamine neurons (Berg et al., 2008; Bubar et al., 2011), so a more direct influence of HTR2C polymorphism on dopamine release is also possible. Mechanisms outside the VTA could also be at play. For example, 5-HT2C receptors likely mediate negative feedback in the raphe nuclei by activating interneurons which inhibit serotonin release (Di Matteo et al., 2008) so it is conceivable that the Ser23 variant alters negative feedback locally in the raphe, decreasing serotonin release in the VTA and elsewhere.

We are aware of one other neuroimaging study that investigated the Cys23Ser polymorphism (Kühn et al., 2004). Regional cerebral blood flow was quantified with and without a serotonergic challenge as a function of Cys23Ser genotype, and complex changes were described. As the authors point out, the pharmacologic challenge did not produce the expected changes in blood flow (Kühn et al., 2004) so the results are not easily interpreted. Furthermore, it is likely that the HTR2C gene effects reported would not survive correction for multiple comparisons. In our K1 images—which reflect baseline cerebral blood flow and tracer extraction—we found a whole-brain-corrected gene effect in only one small cluster in left occipital cortex (unpublished results) suggesting minimal effects of the Cys23Ser polymorphism on baseline blood flow.

If independently confirmed, our finding of greater stress-induced dopamine release among Ser23 carriers may have implications for neuropsychiatric disease. Although initial genetic studies found no association with mood disorders (Gutiérrez et al., 1996; Frisch et al., 1999), a larger subsequent study (total n ≈ 2000) found a higher prevalence of Ser23 carriers among individuals with recurrent major depressive disorder or bipolar disorder, even after controlling for population stratification (Lerer et al., 2001). Ser23 has also been associated with lower reward dependence and persistence traits (Ebstein et al., 1997). In the context of convergent evidence that alterations in dopaminergic circuitry underlie depression and depressive behaviors (Nestler and Carlezon, 2006) our findings raise the possibility that excess risk of mood disorders among Ser23 carriers is mediated in part by greater mesoaccumbal reactivity to stress. Furthermore, the 5-HT2C receptor has been suggested as a target for antidepressant drugs (Millan et al., 2005; Strong et al., 2009; Dekeyne et al., 2012). Our findings suggest that HTR2C genotype might be a useful predictor for an individual's clinical response to such antidepressants.

Our results also inform future studies of HTR2C. Most genetic association studies of Cys23Ser and other neuropsychiatric conditions (alcohol abuse, schizophrenia, eating disorders, suicide, medication effects) have been negative (recently reviewed by Drago and Serretti, 2009), but that may be due to small sample sizes and a focus on psychiatric diagnosis as the phenotype. Future human studies might usefully focus on dopamine-related cellular, circuit-level, and behavioral phenotypes (i.e., intermediate phenotypes) that transcend diagnostic categories. Given the close mechanistic links between 5-HT2C receptors and the dopamine system, and potential interactions between HTR2C and dopaminergic gene variants (Ebstein et al., 1997), future studies with sufficiently large samples should also examine the effects of such gene interactions on intermediate phenotypes.

In conclusion, we found that a common, putatively functional variant of a key serotonergic gene was associated with greater stress-induced mesoaccumbal dopamine release—a plausible intermediate phenotype for mood disorders, addictions, and other stress-related illnesses. Future studies should explore other genetic and environmental factors that might contribute to stress responsiveness of mesoaccumbal dopaminergic circuitry in humans.

Footnotes

This work was supported by NIDA (Grants R01 DA 016423 and R01 DA 022520), the NIAAA Intramural Research Program, the NCRR (Grant UL1 RR 024987), and the Phil F. Jenkins Research Fund. We thank Dr. Bob Koeppe and the nuclear medicine technologists at the University of Michigan PET Center for their assistance.

The authors declare no competing financial interests. Within the 3-year period before submission of the manuscript, Dr. Mickey has received salary support from St. Jude Medical for research unrelated to this manuscript, and Dr. Zubieta has served as a paid consultant for Eli Lilly & Co., Johnson & Johnson, Merck, and Abbott for work unrelated to this manuscript. No company or funding agency played a role in the design or conduct of the study; collection, management, analysis, or interpretation of the data; or preparation, review, or approval of the manuscript.

References

  1. Abdallah L, Bonasera SJ, Hopf FW, O'Dell L, Giorgetti M, Jongsma M, Carra S, Pierucci M, Di Giovanni G, Esposito E, Parsons LH, Bonci A, Tecott LH. Impact of serotonin 2C receptor null mutation on physiology and behavior associated with nigrostriatal dopamine pathway function. J Neurosci. 2009;29:8156–8165. doi: 10.1523/JNEUROSCI.3905-08.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Admon R, Lubin G, Rosenblatt JD, Stern O, Kahn I, Assaf M, Hendler T. Imbalanced neural responsivity to risk and reward indicates stress vulnerability in humans. Cereb Cortex. 2012 doi: 10.1093/cercor/bhr369. [DOI] [PubMed] [Google Scholar]
  3. Bagdy G, Graf M, Anheuer ZE, Modos EA, Kantor S. Anxiety-like effects induced by acute fluoxetine, sertraline or m-CPP treatment are reversed by pretreatment with the 5-HT2C receptor antagonist SB-242084 but not the 5-HT1A receptor antagonist WAY-100635. Int J Neuropsychopharmacol. 2001;4:399–408. doi: 10.1017/S1461145701002632. [DOI] [PubMed] [Google Scholar]
  4. Berg KA, Clarke WP, Cunningham KA, Spampinato U. Fine-tuning serotonin2c receptor function in the brain: molecular and functional implications. Neuropharmacology. 2008;55:969–976. doi: 10.1016/j.neuropharm.2008.06.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Berton O, McClung CA, Dileone RJ, Krishnan V, Renthal W, Russo SJ, Graham D, Tsankova NM, Bolanos CA, Rios M, Monteggia LM, Self DW, Nestler EJ. Essential role of BDNF in the mesolimbic dopamine pathway in social defeat stress. Science. 2006;311:864–868. doi: 10.1126/science.1120972. [DOI] [PubMed] [Google Scholar]
  6. Borsook D, Upadhyay J, Chudler EH, Becerra L. A key role of the basal ganglia in pain and analgesia—insights gained through human functional imaging. Mol Pain. 2010;6:27. doi: 10.1186/1744-8069-6-27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Brasch-Andersen C, Møller MU, Christiansen L, Thinggaard M, Otto M, Brøsen K, Sindrup SH. A candidate gene study of serotonergic pathway genes and pain relief during treatment with escitalopram in patients with neuropathic pain shows significant association to serotonin receptor2C (HTR2C) Eur J Clin Pharmacol. 2011;67:1131–1137. doi: 10.1007/s00228-011-1056-x. [DOI] [PubMed] [Google Scholar]
  8. Brett M, Anton JL, Valabregue R, Poline JB. Region of interest analysis using an SPM toolbox [abstract]. 8th International Conference on Functional Mapping of the Human Brain; Sendai, Japan. 2002. [Google Scholar]
  9. Bubar MJ, Stutz SJ, Cunningham KA. 5-HT(2C) receptors localize to dopamine and GABA neurons in the rat mesoaccumbens pathway. PLoS One. 2011;6:e20508. doi: 10.1371/journal.pone.0020508. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Burghardt NS, Bush DE, McEwen BS, LeDoux JE. Acute selective serotonin reuptake inhibitors increase conditioned fear expression: blockade with a 5-HT(2C) receptor antagonist. Biol Psychiatry. 2007;62:1111–1118. doi: 10.1016/j.biopsych.2006.11.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Cabib S, Puglisi-Allegra S. The mesoaccumbens dopamine in coping with stress. Neurosci Biobehav Rev. 2012;36:79–89. doi: 10.1016/j.neubiorev.2011.04.012. [DOI] [PubMed] [Google Scholar]
  12. Cannon CM, Abdallah L, Tecott LH, During MJ, Palmiter RD. Dysregulation of striatal dopamine signaling by amphetamine inhibits feeding by hungry mice. Neuron. 2004;44:509–520. doi: 10.1016/j.neuron.2004.10.009. [DOI] [PubMed] [Google Scholar]
  13. Cao JL, Covington HE, 3rd, Friedman AK, Wilkinson MB, Walsh JJ, Cooper DC, Nestler EJ, Han MH. Mesolimbic dopamine neurons in the brain reward circuit mediate susceptibility to social defeat and antidepressant action. J Neurosci. 2010;30:16453–16458. doi: 10.1523/JNEUROSCI.3177-10.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Carson RE, Breier A, de Bartolomeis A, Saunders RC, Su TP, Schmall B, Der MG, Pickar D, Eckelman WC. Quantification of amphetamine-induced changes in [11C]raclopride binding with continuous infusion. J Cereb Blood Flow Metab. 1997;17:437–447. doi: 10.1097/00004647-199704000-00009. [DOI] [PubMed] [Google Scholar]
  15. Christianson JP, Ragole T, Amat J, Greenwood BN, Strong PV, Paul ED, Fleshner M, Watkins LR, Maier SF. 5-Hydroxytryptamine 2C receptors in the basolateral amygdala are involved in the expression of anxiety after uncontrollable traumatic stress. Biol Psychiatry. 2010;67:339–345. doi: 10.1016/j.biopsych.2009.09.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Dekeyne A, Brocco M, Loiseau F, Gobert A, Rivet JM, Di Cara B, Cremers TI, Flik G, Fone KC, Watson DJ, Papp M, Sharp T, Serres F, Cespuglio R, Olivier B, Chan JS, Lavielle G, Millan MJ. S32212, a novel serotonin type 2C receptor inverse agonist/alpha2-adrenoceptor antagonist and potential antidepressant: II. A behavioral, neurochemical, and electrophysiological characterization. J Pharmacol Exp Ther. 2012;340:765–780. doi: 10.1124/jpet.111.187534. [DOI] [PubMed] [Google Scholar]
  17. Di Giovanni G, Di Matteo V, La Grutta V, Esposito E. m-Chlorophenylpiperazine excites non-dopaminergic neurons in the rat substantia nigra and ventral tegmental area by activating serotonin-2C receptors. Neuroscience. 2001;103:111–116. doi: 10.1016/s0306-4522(00)00561-3. [DOI] [PubMed] [Google Scholar]
  18. Di Matteo V, Di Giovanni G, Pierucci M, Esposito E. Serotonin control of central dopaminergic function: focus on in vivo microdialysis studies. Prog Brain Res. 2008;172:7–44. doi: 10.1016/S0079-6123(08)00902-3. [DOI] [PubMed] [Google Scholar]
  19. Drago A, Serretti A. Focus on HTR2C: A possible suggestion for genetic studies of complex disorders. Am J Med Genet B Neuropsychiatr Genet. 2009;150B:601–637. doi: 10.1002/ajmg.b.30864. [DOI] [PubMed] [Google Scholar]
  20. Eberle-Wang K, Mikeladze Z, Uryu K, Chesselet MF. Pattern of expression of the serotonin2C receptor messenger RNA in the basal ganglia of adult rats. J Comp Neurol. 1997;384:233–247. [PubMed] [Google Scholar]
  21. Ebstein RP, Segman R, Benjamin J, Osher Y, Nemanov L, Belmaker RH. 5-HT2C (HTR2C) serotonin receptor gene polymorphism associated with the human personality trait of reward dependence: interaction with dopamine D4 receptor (D4DR) and dopamine D3 receptor (D3DR) polymorphisms. Am J Med Genet. 1997;74:65–72. doi: 10.1002/(sici)1096-8628(19970221)74:1<65::aid-ajmg15>3.0.co;2-p. [DOI] [PubMed] [Google Scholar]
  22. Egerton A, Ahmad R, Hirani E, Grasby PM. Modulation of striatal dopamine release by 5-HT2A and 5-HT2C receptor antagonists: [11C]raclopride PET studies in the rat. Psychopharmacology (Berl) 2008;200:487–496. doi: 10.1007/s00213-008-1226-4. [DOI] [PubMed] [Google Scholar]
  23. Fentress HM, Grinde E, Mazurkiewicz JE, Backstrom JR, Herrick-Davis K, Sanders-Bush E. Pharmacological properties of the Cys23Ser single nucleotide polymorphism in human 5-HT2C receptor isoforms. Pharmacogenomics J. 2005;5:244–254. doi: 10.1038/sj.tpj.6500315. [DOI] [PubMed] [Google Scholar]
  24. Frisch A, Postilnick D, Rockah R, Michaelovsky E, Postilnick S, Birman E, Laor N, Rauchverger B, Kreinin A, Poyurovsky M, Schneidman M, Modai I, Weizman R. Association of unipolar major depressive disorder with genes of the serotonergic and dopaminergic pathways. Mol Psychiatry. 1999;4:389–392. doi: 10.1038/sj.mp.4000536. [DOI] [PubMed] [Google Scholar]
  25. Giorgetti M, Tecott LH. Contributions of 5-HT(2C) receptors to multiple actions of central serotonin systems. Eur J Pharmacol. 2004;488:1–9. doi: 10.1016/j.ejphar.2004.01.036. [DOI] [PubMed] [Google Scholar]
  26. Gurevich I, Tamir H, Arango V, Dwork AJ, Mann JJ, Schmauss C. Altered editing of serotonin 2C receptor pre-mRNA in the prefrontal cortex of depressed suicide victims. Neuron. 2002;34:349–356. doi: 10.1016/s0896-6273(02)00660-8. [DOI] [PubMed] [Google Scholar]
  27. Gutiérrez B, Fañanás L, Arranz MJ, Vallès V, Guillamat R, van Os J, Collier D. Allelic association analysis of the 5-HT2C receptor gene in bipolar affective disorder. Neurosci Lett. 1996;212:65–67. doi: 10.1016/0304-3940(96)12746-4. [DOI] [PubMed] [Google Scholar]
  28. Hawkins MF, Uzelac SM, Hearn JK, Baumeister AA. Effects of selective serotonin2 ligands on behaviors evoked by stress in the rat. Pharmacol Biochem Behav. 2008;90:632–639. doi: 10.1016/j.pbb.2008.05.006. [DOI] [PubMed] [Google Scholar]
  29. Heisler LK, Zhou L, Bajwa P, Hsu J, Tecott LH. Serotonin 5-HT(2C) receptors regulate anxiety-like behavior. Genes Brain Behav. 2007;6:491–496. doi: 10.1111/j.1601-183X.2007.00316.x. [DOI] [PubMed] [Google Scholar]
  30. Hodgkinson CA, Yuan Q, Xu K, Shen PH, Heinz E, Lobos EA, Binder EB, Cubells J, Ehlers CL, Gelernter J, Mann J, Riley B, Roy A, Tabakoff B, Todd RD, Zhou Z, Goldman D. Addictions biology: haplotype-based analysis for 130 candidate genes on a single array. Alcohol Alcohol. 2008;43:505–515. doi: 10.1093/alcalc/agn032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Iwamoto K, Bundo M, Kato T. Serotonin receptor 2C and mental disorders: genetic, expression and RNA editing studies. RNA Biol. 2009;6:248–253. doi: 10.4161/rna.6.3.8370. [DOI] [PubMed] [Google Scholar]
  32. Jeong CY, Choi JI, Yoon MH. Roles of serotonin receptor subtypes for the antinociception of 5-HT in the spinal cord of rats. Eur J Pharmacol. 2004;502:205–211. doi: 10.1016/j.ejphar.2004.08.048. [DOI] [PubMed] [Google Scholar]
  33. Kahn RS, Wetzler S. m-Chlorophenylpiperazine as a probe of serotonin function. Biol Psychiatry. 1991;30:1139–1166. doi: 10.1016/0006-3223(91)90184-n. [DOI] [PubMed] [Google Scholar]
  34. Kraemer HC, Thiemann S. How many subjects? Statistical power analysis in research. Newbury Park: Sage Publications; 1987. [Google Scholar]
  35. Kühn KU, Joe AY, Meyer K, Reichmann K, Maier W, Rao ML, Reinhardt MJ, Biersack HJ, Quednow BB. Neuroimaging and 5-HT2C receptor polymorphism: a HMPAO-SPECT study in healthy male probands using mCPP-challenge of the 5-HT2C receptor. Pharmacopsychiatry. 2004;37:286–291. doi: 10.1055/s-2004-832685. [DOI] [PubMed] [Google Scholar]
  36. Lancaster JL, Woldorff MG, Parsons LM, Liotti M, Freitas CS, Rainey L, Kochunov PV, Nickerson D, Mikiten SA, Fox PT. Automated Talairach atlas labels for functional brain mapping. Hum Brain Mapp. 2000;10:120–131. doi: 10.1002/1097-0193(200007)10:3&#x0003c;120::AID-HBM30&#x0003e;3.0.CO;2-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Lappalainen J, Zhang L, Dean M, Oz M, Ozaki N, Yu DH, Virkkunen M, Weight F, Linnoila M, Goldman D. Identification, expression, and pharmacology of a Cys23-Ser23 substitution in the human 5-HT2c receptor gene (HTR2C) Genomics. 1995;27:274–279. doi: 10.1006/geno.1995.1042. [DOI] [PubMed] [Google Scholar]
  38. Laruelle M. Imaging synaptic neurotransmission with in vivo binding competition techniques: a critical review. J Cereb Blood Flow Metab. 2000;20:423–451. doi: 10.1097/00004647-200003000-00001. [DOI] [PubMed] [Google Scholar]
  39. Lerer B, Macciardi F, Segman RH, Adolfsson R, Blackwood D, Blairy S, Del Favero J, Dikeos DG, Kaneva R, Lilli R, Massat I, Milanova V, Muir W, Noethen M, Oruc L, Petrova T, Papadimitriou GN, Rietschel M, Serretti A, Souery D, et al. Variability of 5-HT2C receptor cys23ser polymorphism among European populations and vulnerability to affective disorder. Mol Psychiatry. 2001;6:579–585. doi: 10.1038/sj.mp.4000883. [DOI] [PubMed] [Google Scholar]
  40. Liu FY, Qu XX, Ding X, Cai J, Jiang H, Wan Y, Han JS, Xing GG. Decrease in the descending inhibitory 5-HT system in rats with spinal nerve ligation. Brain Res. 2010;1330:45–60. doi: 10.1016/j.brainres.2010.03.010. [DOI] [PubMed] [Google Scholar]
  41. Love TM, Enoch MA, Hodgkinson CA, Pecina M, Mickey B, Koeppe RA, Stohler CS, Goldman D, Zubieta JK. Oxytocin gene polymorphisms influence human dopaminergic function in a sex-dependent manner. Biol Psychiatry. 2012 doi: 10.1016/j.biopsych.2012.01.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Maldjian JA, Laurienti PJ, Kraft RA, Burdette JH. An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. Neuroimage. 2003;19:1233–1239. doi: 10.1016/s1053-8119(03)00169-1. [DOI] [PubMed] [Google Scholar]
  43. Melzack R, Torgerson WS. On the language of pain. Anesthesiology. 1971;34:50–59. doi: 10.1097/00000542-197101000-00017. [DOI] [PubMed] [Google Scholar]
  44. Millan MJ, Brocco M, Gobert A, Dekeyne A. Anxiolytic properties of agomelatine, an antidepressant with melatoninergic and serotonergic properties: role of 5-HT2C receptor blockade. Psychopharmacology (Berl) 2005;177:448–458. doi: 10.1007/s00213-004-1962-z. [DOI] [PubMed] [Google Scholar]
  45. Munro CA, McCaul ME, Wong DF, Oswald LM, Zhou Y, Brasic J, Kuwabara H, Kumar A, Alexander M, Ye W, Wand GS. Sex differences in striatal dopamine release in healthy adults. Biol Psychiatry. 2006;59:966–974. doi: 10.1016/j.biopsych.2006.01.008. [DOI] [PubMed] [Google Scholar]
  46. Nakae A, Nakai K, Tanaka T, Takashina M, Hagihira S, Shibata M, Ueda K, Mashimo T. Serotonin2C receptor mRNA editing in neuropathic pain model. Neurosci Res. 2008;60:228–231. doi: 10.1016/j.neures.2007.10.004. [DOI] [PubMed] [Google Scholar]
  47. Nestler EJ, Carlezon WA., Jr The mesolimbic dopamine reward circuit in depression. Biol Psychiatry. 2006;59:1151–1159. doi: 10.1016/j.biopsych.2005.09.018. [DOI] [PubMed] [Google Scholar]
  48. Niswender CM, Herrick-Davis K, Dilley GE, Meltzer HY, Overholser JC, Stockmeier CA, Emeson RB, Sanders-Bush E. RNA editing of the human serotonin 5-HT2C receptor. alterations in suicide and implications for serotonergic pharmacotherapy. Neuropsychopharmacology. 2001;24:478–491. doi: 10.1016/S0893-133X(00)00223-2. [DOI] [PubMed] [Google Scholar]
  49. Obata H, Saito S, Sakurazawa S, Sasaki M, Usui T, Goto F. Antiallodynic effects of intrathecally administered 5-HT(2C) receptor agonists in rats with nerve injury. Pain. 2004;108:163–169. doi: 10.1016/j.pain.2003.12.019. [DOI] [PubMed] [Google Scholar]
  50. Okada M, Northup JK, Ozaki N, Russell JT, Linnoila M, Goldman D. Modification of human 5-HT(2C) receptor function by Cys23Ser, an abundant, naturally occurring amino-acid substitution. Mol Psychiatry. 2004;9:55–64. doi: 10.1038/sj.mp.4001357. [DOI] [PubMed] [Google Scholar]
  51. Pohjalainen T, Rinne JO, Någren K, Syvälahti E, Hietala J. Sex differences in the striatal dopamine D2 receptor binding characteristics in vivo. Am J Psychiatry. 1998;155:768–773. doi: 10.1176/ajp.155.6.768. [DOI] [PubMed] [Google Scholar]
  52. Rocha BA, Goulding EH, O'Dell LE, Mead AN, Coufal NG, Parsons LH, Tecott LH. Enhanced locomotor, reinforcing, and neurochemical effects of cocaine in serotonin 5-hydroxytryptamine 2C receptor mutant mice. J Neurosci. 2002;22:10039–10045. doi: 10.1523/JNEUROSCI.22-22-10039.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Scott DJ, Heitzeg MM, Koeppe RA, Stohler CS, Zubieta JK. Variations in the human pain stress experience mediated by ventral and dorsal basal ganglia dopamine activity. J Neurosci. 2006;26:10789–10795. doi: 10.1523/JNEUROSCI.2577-06.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Strong PV, Greenwood BN, Fleshner M. The effects of the selective 5-HT(2C) receptor antagonist SB 242084 on learned helplessness in male Fischer 344 rats. Psychopharmacology (Berl) 2009;203:665–675. doi: 10.1007/s00213-008-1413-3. [DOI] [PubMed] [Google Scholar]
  55. Strong PV, Christianson JP, Loughridge AB, Amat J, Maier SF, Fleshner M, Greenwood BN. 5-Hydroxytryptamine 2C receptors in the dorsal striatum mediate stress-induced interference with negatively reinforced instrumental escape behavior. Neuroscience. 2011;197:132–144. doi: 10.1016/j.neuroscience.2011.09.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Tecott LH, Sun LM, Akana SF, Strack AM, Lowenstein DH, Dallman MF, Julius D. Eating disorder and epilepsy in mice lacking 5-HT2c serotonin receptors. Nature. 1995;374:542–546. doi: 10.1038/374542a0. [DOI] [PubMed] [Google Scholar]
  57. Ungless MA, Argilli E, Bonci A. Effects of stress and aversion on dopamine neurons: implications for addiction. Neurosci Biobehav Rev. 2010;35:151–156. doi: 10.1016/j.neubiorev.2010.04.006. [DOI] [PubMed] [Google Scholar]
  58. Walstab J, Steinhagen F, Brüss M, Göthert M, Bönisch H. Differences between human wild-type and C23S variant 5-HT2C receptors in inverse agonist-induced resensitization. Pharmacol Rep. 2011;63:45–53. doi: 10.1016/s1734-1140(11)70397-8. [DOI] [PubMed] [Google Scholar]
  59. Watabe H, Endres CJ, Breier A, Schmall B, Eckelman WC, Carson RE. Measurement of dopamine release with continuous infusion of [11C]raclopride: optimization and signal-to-noise considerations. J Nucl Med. 2000;41:522–530. [PubMed] [Google Scholar]
  60. Watson D, Clark LA. PANAS-X manual for the positive and negative affect schedule—expanded form. Ames: University of Iowa; 1994. [Google Scholar]

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