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Circadian clock genes: Effects on dopamine, reward and addiction
Decades of research supports the notion that there exists a bidirectional relationship between alcohol abuse and circadian rhythm disruptions. In their review of a number of recent studies providing strong evidence that circadian genes regulate several aspects of dopaminergic transmission, the authors discuss how neurotransmitter systems and reward circuitry are under circadian control and are modulated by drug and alcohol experience, as well as how specific circadian genes regulate drug and alcohol responses. Further studies of the interactions between alcohol, circadian rhythms, and circadian genes are warranted. Together with findings from recent investigations these could help to uncover new therapeutic targets and optimize timing of administration of existing therapies.
Alcohol 2015, Volume 49, pages 341-349
Addiction is a widespread public health issue with social and economic ramifications. Substance abuse disorders are often accompanied by disruptions in circadian rhythms including sleep/wake cycles, which can exacerbate symptoms of addiction and dependence. Additionally, genetic disturbance of circadian molecular mechanisms can predispose some individuals to substance abuse disorders. In this review, we will discuss how circadian genes can regulate midbrain dopaminergic activity and subsequently, drug intake and reward. We will also suggest future directions for research on circadian genes and drugs of abuse.
Keywords: Circadian, Dopamine, Alcohol, Addiction.
The majority of living organisms display daily cycles in behavior and physiology that enable them to adapt to their environment and react to a variety of stimuli known as zeitgebers or “time-givers” (e.g. light, food, etc.). Circadian rhythms enable organisms to adaptively entrain to their environmental conditions to optimize behavioral responses for survival. The central rhythm-generating nucleus in the mammalian brain is the suprachiasmatic nucleus (SCN) of the hypothalamus. Additional subsidiary oscillators have been identified in extra-SCN brain regions and peripheral tissues and these can be coordinated by the SCN or independently controlled ( Reppert & Weaver, 2002 ). Circadian molecular clock machinery is present in all cell types throughout the body. This mechanism consists of an interconnected series of core and accessory transcriptional-translational feedback loops modulated by regulatory kinases (see Fig. 1 ). The activity of the clock components is regulated over a diurnal timescale. Integral to the mammalian circadian clock are the transcription factors, Circadian Locomotor Output Cycles Kaput (CLOCK), or Neuronal PAS Domain Protein 2 (NPAS2) and Brain and Muscle Arnt-like Protein 1 (BMAL1). These proteins heterodimerize and promote transcription of the Period (Per1, Per2, Per3) and Cryptochrome (Cry1, Cry2) genes. Throughout the 24-hour day, PER and CRY proteins in turn are phosphorylated and feed back into the nucleus to inhibit the transcriptional activity of the CLOCK/NPAS2-BMAL1 complex, and hence their own expression. CLOCK/NPAS2 and BMAL1 additionally regulate the transcription of many other genes by binding to E-box elements in their promoter regions. Among these clock-controlled genes are those that underlie aspects of neuronal signaling in mesolimbic systems involved in reward processing and the development of addictive behaviors (Abarca et al, 2002, Gamsby et al, 2013, Logan et al, 2012, Akhisaroglu et al, 2005, and Vitaterna et al, 2006).
In addition to the SCN, midbrain and forebrain regions express molecular clock elements at the cellular level and are also indirectly connected with the SCN through anatomical projections (see Fig. 2 ). Mesocorticolimbic brain circuitry has been shown to be important for the processing of rewarding stimuli, including drugs of abuse, which can remodel the system to cause addiction in vulnerable individuals. Major components of this circuitry that are important for alcohol responses include the ventral tegmental area (VTA), nucleus accumbens (NAc), amygdala, hippocampus, and medial prefrontal cortical regions. Koob and Volkow (2010) review decades of clinical and pre-clinical studies showing that discrete aspects of mesocorticolimbic circuitry are engaged during binge drug use, withdrawal/negative effect, and relapse, encompassing all stages of the addiction cycle ( Koob & Volkow, 2010 ). Much progress has been made in the identification of molecular and physiological adaptations that underlie substance use disorders. The neurotransmitter dopamine (DA) features prominently in the behavioral response to drugs of abuse as well as natural rewards. Activation of the midbrain DA system can confer incentive salience to environmental stimuli and promote motivational or goal-directed behavior (Berridge and Robinson, 1998 and Nestler, 2005). The time course of this signaling has been shown to correspond to reward value and predicted outcomes (Robinson and Berridge, 1993, Schultz, 2006, and Schultz et al, 1997). This role of dopamine goes beyond serving a hedonic purpose to one that motivates behavior in the direction of obtaining a pleasurable substance, as dopamine depletion does not abolish unconditioned affective reaction patterns to sucrose and quinine ( Berridge & Robinson, 1998 ). These principles also support a reinforcement learning model of dopamine action, which contributes to goal-oriented behavior ( Montague, Hyman, & Cohen, 2004 ). Reinforcement learning models help explain the unique advantage of addictive drugs over natural reinforcers in that rapid pharmacokinetic and prolonged effects of drugs on dopamine release may promote overlearning on drug-related stimuli including cues (Hyman, 2005 and Montague et al, 2004). Elements of the dopaminergic system and reward have been shown to be under circadian regulation. Diurnal variations observed in the rewarding value of natural and drug reinforcers suggest that within distinct regions of the mesocorticolimbic system, rhythms in expression of circadian and dopamine-related proteins may coincide with rhythms in reward behavior to promote dependence (Baltazar et al, 2013 and Webb et al, 2009). A conceptual model of the interaction between circadian misalignment, mesocorticolimbic circuitry and the development of alcohol use disorders (AUDs) in adolescents has been proposed by Hasler and Clark (2013) . In this review we will highlight a number of recent studies providing strong evidence that circadian genes regulate several aspects of dopaminergic transmission.
Although the master pacemaker is located in the SCN, circadian genes and proteins are widely expressed throughout the brain and periphery, thereby forming SCN-independent pacemakers that entrain to other non-photic stimuli including food and drugs (Iijima et al, 2002 and Stephan, 1984). Many studies have established that addictive drugs are able to serve as zeitgebers and can reliably entrain anticipatory activity rhythms in animals when given regularly. This locomotor activity has been likened to the seeking behavior characteristic of drug addiction. Additionally, the circadian regulation of dopamine transmission and signaling plays a role in reward ( Kosobud et al., 2007 ). For example, daily methamphetamine injections have been shown to entrain animals and induce anticipatory locomotor activity to the time of injection ( Kosobud, Pecoraro, Rebec, & Timberlake, 1998 ). Ethanol, cocaine, and nicotine have also been shown to induce this anticipatory behavior and alter behavioral rhythms (Gillman et al, 2008, Kosobud et al, 2007, and White et al, 2000). In rodents with SCN lesions methamphetamine in the drinking water restores activity rhythms in a robust manner ( Masubuchi et al., 2000 ). In addition, methamphetamine treatment shifts the expression of the Per genes in striatal regions in a manner that matches shifts in activity rhythms, independent of the SCN rhythms ( Iijima et al., 2002 ). Rewarding stimuli such as food or chocolate can entrain both behavioral and Per1 expression rhythms, which persist for several days in several brain regions (including dorsal medial hypothalamus, nucleus accumbens, prefrontal cortex, and the central amygdala) ( Ángeles-Castellanos, Salgado-Delgado, Rodríguez, Buijs, & Escobar, 2008 ). Therefore, both behavioral and molecular rhythms appear to be affected by rewarding stimuli, including drugs of abuse.
Alcohol can disrupt circadian rhythms and circadian disruption can promote alcohol intake ( Spanagel, Rosenwasser, Schumann, Sarkar, 2005 ). Decades of research supports the notion that there exists a bidirectional relationship between alcohol abuse and circadian rhythm disruptions. However, how they interact as risk factors for one another remains unclear. Alcoholism in human populations is associated with disruptions in circadian rhythms, which can persist during abstinence and increase risk for relapse (Brower, 2001, Fonzi et al, 1994, Kuhlwein et al, 2003, Landolt and Gillin, 2001, and Sano et al, 1993). Moreover, circadian gene disruptions may be a risk factor for addiction. Genetic variations (single nucleotide polymorphisms or mutations) in Clock, Per2 and Per3 genes have been associated with alcoholism in humans (Sjoholm et al, 2010 and Spanagel et al, 2005a). Additionally, mice and rats selectively bred for high alcohol consumption have altered circadian phenotypes (Hofstetter et al, 2003, McCulley et al, 2013, and Rosenwasser et al, 2005b). Taken together, these studies suggest shared genetic linkage between alcohol-related behaviors and the circadian genes. These studies are well reviewed and conceptually integrated by Logan et al. (2014) .
Here, we will discuss how neurotransmitter systems and reward circuitry are under circadian control and modulated by drug and alcohol experience, as well as how specific circadian genes regulate drug and alcohol responses. We take note that studies on the role of circadian genes in the response to psychostimulant drugs of abuse, such as cocaine, far outnumber alcohol-focused studies. Hence, we encourage further study of the interactions between alcohol, circadian rhythms, and circadian genes in a systematic manner.
Alcohol disrupts circadian rhythms
Studies have shown that chronic alcohol can disrupt the circadian pattern in a variety of hormonal and behavioral rhythms (Kakihana and Moore, 1976, Kosobud et al, 2007, Madeira et al, 1997, Rajakrishnan et al, 1999, Rosenwasser et al, 2005a, and Spanagel et al, 2005b). High levels of alcohol can affect biological rhythms including circadian sleep cycles (Gilliam and Collins, 1983 and Hilakivi et al, 1987) and spontaneous locomotor activity ( Deimling & Schnell, 1980 ). The SCN is responsive to ethanol in that acute ethanol can prevent photic resetting and chronic ethanol disrupts photic entrainment (Brager et al, 2010, Brager et al, 2011, Ruby et al, 2009a, and Ruby et al, 2009b). Additionally, studies have illustrated that the SCN develops rapid tolerance to the effects of ethanol (Lindsay et al, 2014 and Prosser and Glass, 2009).
Kakihana & Moore (1976) demonstrated that chronic consumption of alcohol dampens the circadian rhythm of ACTH release, as measured by plasma corticosterone levels in mice. Other studies have shown that chronic ethanol treatment reduces the circadian variations in plasma corticosterone concentration ( Tabakoff, Jafee, & Ritzmann, 1978 ) and gonadotrophin production in females ( Alfonso, Duran, & Marco, 1993 ). Furthermore, it reduces the number of vasopressin (AVP), vasoactive intestinal polypeptide (VIP), gastrin-releasing peptide (GRP), and somatostatin (SST) – containing neurons in the SCN of Wistar rats ( Madeira et al., 1997 ). Chronic ethanol can also alter the characteristics of biochemical circadian rhythms in Wistar rats. Chronic alcohol delayed peak times of glucose, potassium and lactic acid rhythms (by 18 h, 3 h, and 3 h respectively), and advanced peak times of cholesterol rhythms by 3 h and 9 h respectively during ethanol treatment ( Rajakrishnan et al., 1999 ). Significant changes in the range and mean of all the biochemical circadian rhythms studied were also observed during ethanol treatment.
Alcohol disrupts circadian gene expression
Relatively few human studies have examined the effects of alcohol on circadian gene expression. Huang et al. (2010) assessed the mRNA levels (from peripheral blood mononuclear cells) of circadian genes in patients with alcohol dependence undergoing alcohol-withdrawal treatment. mRNA levels of Clock were markedly lower in alcohol dependent subjects upon admission to treatment and lasting at least one week into alcohol withdrawal. McCarthy, Fernandes, Kranzler, Covault, and Welsh (2013) preformed a study to determine if alcohol dependent subjects have altered Per2 expression rhythms in peripheral tissues. In this study, skin fibroblasts were collected from alcohol dependent (and control) subjects for culture and use in a bioluminescent reporter gene (Per2::luciferase) assay to measure circadian rhythms in gene expression for 5 days. They found that the Per2::Luc period was inversely correlated with illness severity (defined as the number of alcohol dependence criteria met). More studies are needed to determine whether changes in molecular rhythms are consistent across studies and/or if they vary depending on cell type or physiological state. It would be of great interest to the field if future studies included a treatment group (i.e. subjects receiving an FDA approved treatment for alcohol dependence) to determine whether alterations in molecular rhythms can be rescued as individual symptoms improve.
There are also relatively few studies reporting the effect of alcohol intake on circadian gene expression in animal models. Observed changes in molecular rhythms depend on the alcohol paradigm, length and dose of alcohol exposure, and tissue type. Melendez, McGinty, Kalivas, and Becker (2012) identified gene expression changes (using microarrays) in several brain regions in response to chronic intermittent ethanol (CIE), a paradigm known to induce dependence-like behaviors in mice. Results of this study indicate that the most differentially expressed genes in the NAc were involved in circadian rhythms ( Melendez et al., 2012 ). Recently, we found that chronic alcohol consumption (in a two bottle choice paradigm) and abstinence resulted in decreased Clock expression in the NAc and VTA ( Ozburn et al., 2013 ). Moreover, Chen, Kuhn, Advis, and Sarkar (2004) found that chronic ethanol intake via liquid diet shifted Per1 and Per2 gene expression rhythms in the arcuate nucleus (an area that sends projections to the NAc). Reports on the effects of chronic alcohol intake on circadian gene expression in the SCN are quite variable and discussed in Logan et al. (2014) . To date, there are no studies examining the diurnal expression of circadian genes in both the SCN and the mesocorticolimbic brain regions known to be important for alcohol intake. Thus, it is important to acknowledge that changes in peripheral gene expression may have little or no connection to potential changes in the SCN circadian clock. It will be important for future studies to characterize the effects of alcohol on diurnal expression of circadian genes in the SCN, as well as in mesocorticolimbic regions.
Given these limited human and animal model studies, it will be important to perform studies to measure circadian gene expression from post-mortem brain tissue of alcohol dependent individuals (and controls), ideally collected at several circadian time points to determine rhythmicity and duration parameters. The circadian field is moving forward with the identification of novel protein–protein and protein-DNA interactions, illuminating interactions between circadian, neurotransmission, metabolic, and immune signaling (Arey et al, 2014, Bass and Takahashi, 2010, Koike et al, 2012, and Logan and Sarkar, 2012). These types of studies will guide our interpretation of the extra-SCN role of circadian genes in the context of the neuronal adaptations seen in reward-related brain circuitry with alcohol dependence.
Circadian genes regulate behavioral responses to drugs of abuse
Genetic animal models have also revealed that circadian genes are important regulators of behavioral responses to drugs of abuse. The first studies to reveal this relationship were performed in Drosophila melanogaster and showed that flies bearing mutations in the circadian genes Clock, Per, Cycle, or Doubletime all fail to sensitize to cocaine ( Andretic, Chaney, & Hirsh, 1999 ). Later, Pohl et al. (2013) tested several circadian mutations in D. melanogaster, and found that mutations in Per, Tim, and Cyc completely block the development of ethanol tolerance. Importantly, Pohl et al. (2013) revealed that the ability of these genes to abolish ethanol tolerance was independent of a nonfunctional circadian clock ( Pohl et al., 2013 ). Abarca et al. (2002) found that mPer1 null mutant mice also fail to sensitize to cocaine and exhibit increased cocaine conditioned place preference (CPP), a measure of cocaine reward. In contrast, mPer2 null mutants exhibit hypersensitization to cocaine and normal levels of cocaine CPP. In addition, studies show that mPer1 might partially regulate morphine dependence, as mutants for this gene show a reduction in morphine CPP ( Liu et al., 2005 ). Furthermore, Per2Brdm mutants are hypersensitive to ethanol, exhibiting increased ethanol preference and consumption, increased sedation, and decreased hypothermia (Perreau-Lenz et al, 2009 and Spanagel et al, 2005a). Intriguingly, reports are inconsistent for ethanol intake measures in Per1 mutant mice, where ethanol self-administration measures (operant and voluntary) and sedation have been reported as increased or not significantly different than WT mice (Gamsby et al, 2013 and Zghoul et al, 2007). Incongruent findings such as this can be due to the use of different strain backgrounds, as well as possible gender differences and testing conditions across laboratories ( Wahlsten, Bachmanov, Finn, & Crabbe, 2006 ).
Several studies from our lab and others have shown that Clock can act as a negative regulator of drug reward. (Akhisaroglu et al, 2005) and (Ozburn et al, 2012), and Ozburn et al. (2013) identified a key role for the Clock gene in drugs of abuse. Mice bearing a dominant negative mutation in Clock (ClockΔ19 mice) exhibit increased cocaine CPP compared with wild type (WT) littermates (Akhisaroglu et al, 2005 and Ozburn et al, 2012). Ozburn et al. (2012) examined whether results from the conditioned reward study were relevant to cocaine intake using a clinically relevant operant intravenous cocaine self-administration paradigm (IVSA). We found that WT mice exhibited a diurnal variation in acquisition and maintenance of drug intake that is absent in ClockΔ19 mice. A greater percentage of Clock mutant mice acquired cocaine self-administration, regardless of time of day tested. Furthermore, mutant mice self-administered more cocaine than WT mice. Using fixed ratio (to assess sensitivity to reinforcing properties of cocaine) and progressive ratio (to assess motivation for cocaine) schedules of reinforcement dose–response paradigms, Ozburn et al. (2012) also found that cocaine is a more efficacious reinforcer in ClockΔ19 mice than in WT mice. Importantly, this study found that ClockΔ19 mice exhibited similar learning and readily acquired food self-administration, indicating the mutation does not have an effect on learning.
In addition to this cocaine phenotype, Clock mutants exhibit increased locomotor activity, reduced anxiety-like and depression-like behavior, and increased intracranial self-stimulation (ICSS) at a lower threshold (McClung et al, 2005 and Roybal et al, 2007). ClockΔ19 mutants also have an increase in dopaminergic activity in the ventral tegmental area (VTA) and a general increase in glutamatergic tone that might underlie these behaviors (Beaule et al, 2009 and McClung et al, 2005). Many of these behavioral and physiological phenotypes are rescued by expressing functional CLOCK in the VTA of ClockΔ19 mutants or are recapitulated by reducing Clock expression in the VTA of wild type mice via RNA interference (Mukherjee et al, 2010 and Roybal et al, 2007). Ozburn et al. (2013) found that the hyperhedonic phenotype of ClockΔ19 mutants extended to a very different class of drug (ethanol) ( Ozburn et al., 2013 ). ClockΔ19 mutants exhibited significantly increased ethanol intake in a continuous access two-bottle choice paradigm. This effect was more robust in female mice. Moreover, chronic ethanol experience resulted in a long-lasting decrease in VTA Clock expression. Furthermore, they found that reducing Clock expression in the VTA (via RNAi using viral mediated gene transfer) resulted in significantly increased ethanol intake similar to the ClockΔ19 mice ( Ozburn et al., 2013 ). They also found that ClockΔ19 mice exhibit significantly augmented responses to the sedative effects of ethanol and ketamine, but not pentobarbital. However, their drinking behavior was not affected by acamprosate, an FDA-approved drug for the treatment of alcoholism, suggesting that their increased glutamatergic tone might underlie the increased sensitivity to the sedative/hypnotic properties of ethanol but not its rewarding properties. Taken together, these studies identified a significant role for Clock in the VTA as a negative regulator of drug and alcohol reinforcement, where decreased CLOCK function increases vulnerability for drug and alcohol use. Furthermore, we implicate the VTA dopamine system in this response.
The dopaminergic reward circuit
Drugs of abuse including alcohol, cocaine, methamphetamine, and opioids act directly on the dopamine system as well as other signaling pathways to promote seeking behavior. Generally, these substances elicit their effects by increasing dopamine release from the VTA to target regions including the NAc, which is critically positioned to integrate limbic information for the generation of motivational action (Imperato and Di Chiara, 1986, Kauer and Malenka, 2007, Nestler, 2005, and Wise, 1998). Genetic studies in rodent models highlight the importance of dopamine signaling in the development of addictive behavior. Mice with a complete knock out of D1-type dopamine receptors exhibit reduced alcohol intake and preference and do not self-administer cocaine ( El-Ghundi et al., 1998 ). Human imaging studies also support a key role of DA suggesting that fast DA changes are associated with the subjective perception of reward (Grace, 2000 and Volkow et al, 2003). The DA system is activated by acute administration of all addictive drugs but the system does not necessarily account for all reinforcing effects of drugs.
While it has been established that ethanol affects neural function by modulating various neurotransmitter systems including GABA, glutamate and norepinephrine (Weiner and Valenzuela, 2006, Weinshenker et al, 2000, and Woodward, 2000), attention over the past few decades has focused on the DA system, which has been shown to mediate positive reinforcing effects of ethanol. Behavioral pharmacology of ethanol reinforcement has been elucidated through the use of operant procedures. Systemic administration of dopaminergic agents including receptor subtype-specific agonists and antagonists alter responding for ethanol reinforcement suggesting a role for the signaling system in modulating voluntary ethanol drinking behavior ( Gonzales, Job, & Doyon, 2004 ). Additionally, electrophysiological studies point to a stimulatory action of ethanol on VTA DA neuronal firing rate through an array of mechanisms, including ionic and synaptic effects, and a marked decrease in dopaminergic activity in ethanol-withdrawn animals (Brodie and Appel, 2000, Diana et al, 1996, Okamoto et al, 2006, and Weiss et al, 1993). Sophisticated experiments in vitro have revealed that ethanol-induced excitation of VTA DA neurons is modulated by GABAergic transmission in the nucleus and produces phases of excitation and inhibition ( Theile, Morikawa, Gonzales, & Morrisett, 2011 ). Recently, the specific relationship between VTA DA firing patterns leading to differential accumbal dopamine release in the NAc terminal field and ethanol drinking behaviors has been investigated with the use of optogenetic techniques. Bass et al. (2013) found that tonic but not phasic dopamine transmission reduces ethanol self-administration in rats presumably through a dopamine D2 autoreceptor-mediated feedback mechanism ( Bass et al., 2013 ). Within the NAc, drugs of abuse elicit striking changes in plasticity of excitatory and inhibitory synaptic signaling onto GABAergic medium spiny neurons (MSNs), the principal projection neurons of this region. Persistent psychostimulant-induced adaptations in the NAc are thought to underlie drug dependence and the functional differences between D1R and D2R expressing MSNs in reward behavior have been investigated using genetic strategies (Koob and Le Moal, 2001 and Lobo et al, 2010). With regard to ethanol-induced synaptic alterations in MSNs, Jeanes, Buske, and Morrisett (2014) recently described cell-type specific effects of chronic intermittent ethanol (CIE) exposure on NMDAR-LTD in the NAc shell ( Jeanes et al., 2014 ). These and many other studies point to long-lasting cellular effects of psychostimulants and ethanol on excitatory neurotransmission in the VTA and NAc as a result of changes in firing of mesolimbic dopaminergic neurons (Chen et al, 2008, Kourrich et al, 2007, Ungless et al, 2001, and Stuber et al, 2011). Transition to addiction involves neuroplasticity in all limbic regions and is thought to develop through cascades of dysfunction beginning with dopamine signaling in the VTA and affecting target regions including the ventral striatum, dorsal striatum, OFC, PFC, and amygdala and facilitating the transition from use to abuse to dependence ( Koob & Volkow, 2010 ).
Circadian genes and dopaminergic reward circuitry
Several studies have highlighted the role of circadian genes in the direct regulation of dopaminergic reward circuitry. Within mesolimbic nuclei, virtually all aspects of dopaminergic activity including neuronal firing patterns, neurotransmitter synthesis, release, degradation and postsynaptic actions are subject to circadian transcriptional influence and display diurnal variation ( McClung, 2007 ). This regulation of signaling plays a role in reward-related behavior as all drugs of abuse exert their actions by impinging on dopaminergic circuitry and any disruption of this system may increase vulnerability to the rewarding properties of drugs. Additionally, diurnal variation in dopaminergic neuronal activity may underlie the diurnal variation in behavioral responses to drugs as previously described. Indeed, within the VTA, rhythms have been observed in the expression of DA receptors as well as tyrosine hydroxylase (TH) and monoamine oxidase (MAOA), the enzymes responsible for the synthesis and degradation of DA respectively (McClung, 2007, Akhisaroglu et al, 2005, Sleipness et al, 2008, Sleipness et al, 2007, Hampp et al, 2008, and Weber et al, 2004). There is also evidence to support the idea that these regulatory genes may be clock-controlled genes (CCGs), as they contain canonical E-box sites in their promoter regions and are bound by CLOCK and BMAL1 ( Fig. 3 ) (Hampp et al, 2008 and Sleipness et al, 2007).
A critical role of core circadian proteins in the regulation of CCGs in the midbrain has been elucidated through studies of clock gene mutations. Clock is expressed in the VTA and NAc and is implicated in the modulation of reward processing and mood-related behavior (Ángeles-Castellanos et al, 2008 and McClung et al, 2005). Abnormal mesolimbic signaling has been well characterized in ClockΔ19 mutant mice. ClockΔ19 mice exhibit heightened sensitivity to rewarding substances compared with WT mice suggesting aberrant reward processing (Akhisaroglu et al, 2005 and Ozburn et al, 2012). We performed a microarray analysis several years ago and found differential regulation of several key dopamine-related genes within the VTA of Clock mutants ( McClung et al., 2005 ). Moreover, there is an increase in the mean firing rate and bursting of DA neurons, which can be normalized by chronic lithium treatment, as well as an increase in TH mRNA expression (Coque et al, 2011 and McClung et al, 2005). The notion that CLOCK directly regulates the activity of key mechanisms in DA transmission within the VTA is further supported by the finding that CLOCK short-hairpin RNA delivered specifically to this nucleus recapitulates the abnormal signaling in WT mice including increased DA release into the NAc ( Mukherjee et al., 2010 ). These findings provide mechanistic insight into the circadian transcriptional control of reward processing and suggest a unique function of CLOCK as an inhibitor of TH transcription in contrast to its widespread activational role throughout the brain and periphery. Recently, a role for the circadian nuclear receptor, REV-ERBα, in the repression of TH within the ventral midbrain has been elucidated, highlighting the importance of regulatory circadian proteins in transcriptional control of DA-related genes ( Chung et al., 2014 ). Mutant studies have also shed light on various other dopamine-related CCGs including the neuropeptide cholecystokinin (Cck), which serves as a negative regulator of DA transmission in vivo (Lanca et al, 1998 and Schade et al, 1995). ClockΔ19 mice have reduced levels of Cck mRNA. Furthermore, knock down of Cck specifically in the VTA is sufficient to recapitulate a manic-like behavioral phenotype in WT mice ( Arey et al., 2013 ). Results from this study support the role of CLOCK as a direct positive regulator of Cck, which critically modulates DA output and reward-related responses. Other neurotransmitter signaling systems are also thought to be altered following clock gene disruptions including the glutamatergic system, which appears to regulate aspects of increased sensitivity to ethanol and ketamine in ClockΔ19 mice ( Ozburn et al., 2013 ). Other studies have implicated altered glutamatergic tone in the Clock mutants in the increased drug preference phenotype and have shown that functional CLOCK and PER2 are essential to maintain normal glutamate levels and uptake by transporters (Beaule et al, 2009, Dzirasa et al, 2010, and Spanagel et al, 2005a). Results of microarray studies in Clock mutants and following Clock knock down also demonstrate a downregulation of GABAergic genes in the VTA suggesting a potential dampening of inhibitory control and disinhibition of DA neuronal activity however this relationship could be investigated directly in the future through electrophysiological studies of VTA DA neurons ( McClung et al., 2005 ).
In addition to circadian gene regulation of processes involved in DA production and release from VTA cell bodies, several studies highlight the circadian control of other aspects of dopamine signaling in afferent target regions of the VTA. Chief among these and relevant to reward processing and motivated behavior is the striatum and predominantly the NAc. NAc MSNs are a critical site for drug-induced plastic changes as DA reliably modulates glutamatergic transmission at excitatory synapses in the region through DA receptor signaling pathways ( Robison & Nestler, 2011 ). DA receptor expression has been shown to be rhythmic and canonical E-box sites are present in the Drd1 and Drd2 genes, which are differentially expressed by NAc MSNs, suggesting that these are also direct CCGs and may be involved in mediating drug responses ( Akhisaroglu, Kurtuncu, Manev, & Uz, 2005 ). Interestingly, within the NAc, NPAS2 is highly enriched ( Garcia et al., 2000 ) and NPAS2 has recently been shown to be critical for mediating cocaine CPP ( Ozburn et al., 2015 ). Npas2 mutant mice have a decrease in cocaine CPP and this can be recapitulated via selective knock-down of Npas2 only in the NAc ( Ozburn et al., 2015 ). In contrast, knock-down of Clock in the NAc has no effect. Additionally, Npas2 knock down in the NAc disrupts the diurnal expression of Drd1, Drd2 and Drd3 with greatest effect on the latter ( Ozburn et al., 2015 ). The prominent increase in Drd3 gene expression in Npas2 knock-down mice may have implications for DA signaling through postsynaptic mechanisms that are relevant for reward processing ( Le Foll, Goldberg, & Sokoloff, 2005 ). Although alcohol related behaviors have not been reported for Npas2 mutants, specific inhibitors of the D3 receptor reduce operant alcohol self-administration and reinstatement of alcohol seeking behaviors ( Heidbreder et al., 2007 ). While CLOCK and NPAS2 are generally considered homologous in structure and function, we have uncovered differential cell-type specific expression of the two transcription factors in the striatum with NPAS2 being highly enriched in D1-containing MSNs while CLOCK expression is more ubiquitous ( Ozburn et al., 2015 ). As activation of the D1-direct pathway is associated with learning positive reinforcers, this points to a functional distinction between circadian transcriptional mechanisms in reward relevant circuitry ( Kravitz, Tye, & Kreitzer, 2012 ). With regard to behavioral discrepancies observed between Clock and Npas2 manipulation in the NAc, we propose that CLOCK regulates drug reward primarily through actions on DA transmission in the VTA while NPAS2 acts primarily within the NAc. However, since the VTA releases dopamine into the NAc, mutations of Clock in the VTA affect the function of the NAc over time. Since Clock gene disruption in the ClockΔ19 model leads to changes in DA transmission in the striatum, a potential consequence of increased dopaminergic tone in Clock mutants is a decrease in D1:D2 receptor ratio in the striatum due to a strong upregulation of D2 receptor expression, which could reflect a compensatory mechanism to counteract dysregulated DA transcription and release ( Spencer et al., 2012 ). Additionally, Dzirasa et al. (2010) have characterized specific abnormalities in the NAc of Clock mutants including reduced levels of the AMPA-type glutamate receptor subunit GluA1 and phospho-GluA1 as well as altered signaling between the NAc and prefrontal regions correlated with exploratory drive behavior. These changes among others suggest a potential shifting of excitatory synaptic weight in the NAc, which could be a result of the mutant hyperdopaminergic state ( Dzirasa et al., 2010 ). A similar homeostatic mechanism may be at play in Per2 mutant mice, which exhibit lower Maoa expression in the NAc accompanied by higher DA levels. In these mice, the ratio of D1 to D2 receptors is also significantly decreased ( Hampp et al., 2008 ). These findings suggest that clock gene disruptions impact DA signaling at multiple levels and through a variety of mechanisms likely contributing to abnormal behavior. Further studies will be necessary to determine the extent to which these disruptions directly affect CCGs and may indirectly impact plasticity in afferent signaling pathways thus altering responses to drugs of abuse and mediating addictive behavior.
Circadian rhythm disruptions and addiction vulnerability go hand in hand. Moreover, chronic exposure to alcohol and other substances leads to lasting changes in rhythms that contribute to the cycle of addiction and relapse. Recent studies have determined that genes that control circadian rhythms are keenly involved in regulating the dopaminergic reward circuitry and this regulation may be the cause of this increase in vulnerability and the plasticity that contributes to addiction. Results of these investigations may uncover new therapeutic targets aimed at the treatment of substance abuse disorders and also inform optimal administration times for existing therapeutic agents. This is important given the strong circadian rhythms in dopamine receptors for example if these receptors are to be targeted for drug development. It would also be important to identify compounds which increase rhythm stability but do not reinforce the entrainment of the circadian system to drugs of abuse within reward-related pathways. There is much we still need to learn about how these diurnal rhythms are involved in drug craving, seeking and sensitization or tolerance.
Studies from our group were supported by NIDA (DA023988 to CAM), NIMH (MH082876 to CAM), NIAAA (AA020452 to ARO), and NARSAD Young Investigator Award (to ARO). The authors declare no conflict of interest.
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a University of Pittsburgh School of Medicine, Department of Psychiatry, 450 Technology Drive, Suite 223, Pittsburgh, PA 15219, USA
b Portland Veterans Affairs Medical Center, Research and Development Service, Portland, OR 97239, USA
c Oregon Health and Science University, Department of Behavioral Neuroscience, Portland, OR 97239, USA
∗ Corresponding author. Tel.: +1 412 624 5547.
1 These authors contributed equally to this work.
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