Abstract
Background
Nicotine use increases alcohol drinking, suggesting that the combination of these drugs may produce synergistic effects in activating reward circuitry. Alternatively, use of either of these drugs may facilitate the development of cross-tolerance to the other to promote intake escalation.
Methods
In the current study, adult male Wistar rats were chronically exposed to room air or chronic, intermittent nicotine vapor, which has been shown to produce symptoms of nicotine dependence as evidenced by elevated nicotine self-administration and a host of somatic and motivational withdrawal symptoms during withdrawal. We examined regional neuroadaptations in nicotine-experienced vs. non-experienced animals, focusing on changes in phosphorylation of the AMPA glutamate channel subunit GluA1 in reward-related brain regions since excitatory neuroadaptations are heavily implicated in both alcohol and nicotine addiction.
Results
During withdrawal, nicotine exposure and alcohol challenge (1g/kg) interactively produced neuroadaptations in GluA1 phosphorylation in a brain region-dependent manner. Alcohol robustly increased protein kinase A (PKA)-mediated phosphorylation of GluA1 at serine 845 in multiple regions. However, this neuroadaptation was largely absent in three areas (dorsomedial prefrontal cortex, dorsal striatum, and central amygdala) in nicotine-experienced animals. This interactive effect suggests a molecular tolerance to alcohol-stimulated phosphorylation of GluA1 in the context of nicotine dependence.
Conclusions
Nicotine may modify the rewarding or reinforcing effects of alcohol by altering glutamate signaling in a region-specific manner, thereby leading to increased drinking in heavy smokers.
Keywords: Alcohol, Amygdala, Glutamate, Nicotine, Prefrontal Cortex
Introduction
Nicotine and alcohol are two of the most commonly abused drugs worldwide. Alcohol drinking is strongly correlated with nicotine use and there is a high association of nicotine and alcohol dependence (Falk et al., 2006). In fact, many alcoholics actually die from smoking-related causes (Littleton et al., 2007). Following chronic or excessive use, the transition to nicotine or alcohol dependence produces a constellation of somatic and motivational withdrawal symptoms (Edwards et al., 2012; Cohen et al., 2015). Such motivational disturbances are associated with drug-induced, brain region-specific neuroadaptations that are hypothesized to drive persistent, escalated, and uncontrollable substance use observed in addiction (Edwards and Koob, 2010).
Several preclinical studies have shown that nicotine enhances the acquisition of alcohol drinking (Smith et al., 1999) and that repeated nicotine exposure increases self-administration of alcohol and reinstatement of alcohol seeking (Le et al., 2003; Leao et al., 2015), suggesting that the combination of nicotine and alcohol may produce a synergistic activation of reward circuitry. Alternatively, chronic use of either substance may facilitate the development of a cross-tolerance to the other substance. For example, escalation of drinking following nicotine exposure is associated with a nicotine-driven blunting of alcohol-induced dopamine release in the ventral striatum (Doyon et al., 2013). There is now a growing interest in mechanisms associated with nicotine and alcohol interactions, although information on behavioral and neuronal signaling adaptations that occur in animals exposed to both nicotine and alcohol remains limited compared to the abundance of studies on these substances in isolation (Van Skike et al., 2016).
Virtually all drugs of abuse alter AMPA glutamate receptor channel function, while chronic drug-induced modifications of AMPA channel activity alter excitatory neurotransmission in association with excessive drug use, withdrawal, and relapse (Conrad et al., 2008; Edwards et al., 2011). Most of these effects occur via modification of channel function though direct phosphorylation of GluA1 AMPA subunits, which are located throughout cortical and subcortical brain reward areas and regulated in part by dopaminergic neurotransmission (Wolf et al., 2003; Edwards et al., 2007; Choi et al., 2011). AMPA channel function is increased following phosphorylation by protein kinase A (PKA, at serine 845) and/or protein kinase C and calcium/calmodulin-dependent protein kinase II (PKC/CaMKII, at serine 831), typically via facilitation of channel activity or membrane trafficking (Wang et al., 2005). Such phosphorylation events are thought to be essential for the modulation of synaptic plasticity that may underlie several key aspects of the persistence of drug addiction (Hyman et al., 2006).
In the present study, we employed a rodent model of nicotine dependence that utilizes chronic, intermittent nicotine vapor exposure. This treatment regimen has recently been used to produce several key symptoms of nicotine dependence including escalated nicotine self-administration during withdrawal (Baiamonte et al., 2014; Gilpin et al., 2014). Our current aim was to investigate multiple reward-related brain regions (including the prefrontal cortex, striatum, and amygdala) to determine excitatory neuroadaptations associated with acute, binge-like alcohol administration in the nicotine-experienced vs. nicotine-naïve state. These regions were selected based on their close association with both nicotine and alcohol dependence (for review, see Koob and Volkow, 2010), although few studies have sought to examine interactive neuroadaptations produced via exposure to these two drugs in combination. We employed an acute bolus dose of alcohol (1g/kg) that produces anxiolytic-like effects (Sakharkar et al., 2012) and blood alcohol levels in rats roughly corresponding to those achieved via binge drinking in humans (National Institute on Alcohol Abuse and Alcoholism, 2004).
Materials and Methods
Animals
Adult male Wistar rats (n=24) were obtained from Charles River (Raleigh, NC, USA), and weighed 200–300g at time of arrival. Animals were pair-housed in standard plastic cages with wood chip bedding under a reverse 12-h light-dark cycle (lights off at 8 AM). Animals were fed a standard rat diet with ad libitum access to food and water throughout the experiment. All procedures were conducted in accordance with the Institutional Animal Care and Use Committee (IACUC) and NIH guidelines.
Nicotine Vapor Inhalation Protocol
For chronic, intermittent exposure to nicotine vapor, animals were housed in plexiglass vapor delivery chambers (La Jolla Alcohol Research, Inc., La Jolla, CA) and exposed daily to intermittent nicotine vapor (12 hours on/12 hours off) for several weeks, as previously described (George et al., 2010; Baiamonte et al., 2014; Gilpin et al., 2014). Briefly, nicotine vapor was produced by bubbling air at a flow rate of 10 liters/minute/cage through a gas-washing bottle containing a solution of pure nicotine (free base, Sigma-Aldrich, St. Louis, MO). Nicotine vapor was produced by evaporation that was maximized by the bubbling of air with a constant air flow. The highly concentrated nicotine vapor was then passed through a drop-catch bottle and further diluted by the addition of 60 liters/minute of clean air in a 2000 mL Erlenmeyer vacuum flask at room temperature. The final nicotine–air mixture was homogeneously distributed between chambers at a flow rate of 15 liters/minute. Air controls were housed in the room containing the vapor delivery chambers but were exposed to room air only.
Alcohol Challenge and Western Blot Analysis of Phosphoproteins
After 4 weeks of exposure to chronic intermittent nicotine vapor or air, one day prior to sacrifice, rats received a 1 ml/kg (IP) injection of saline to habituate them to the injection procedure. After the final nicotine exposure session, at 8–10 hours of withdrawal (WD), animals were challenged with either saline (1 ml/kg, IP) or ethanol (1 g/kg of 15% w/v ethanol, IP) and euthanized 15 minutes later. Fifteen minutes post-saline or alcohol injection, animals were sacrificed by decapitation under light halothane anesthesia. Brains were rapidly dissected and snap-frozen in isopentane. Regional tissue samples were obtained using 13–16 gauge punches from frozen coronal brain slices (0.5 mm thick) obtained by the use of a cryostat according to anatomical regions depicted in Fig. 1 (Paxinos and Watson, 1998). Tissue samples were homogenized by sonication in lysis buffer (320 mm sucrose, 5 mm HEPES, 1 mm EGTA, 1 mm EDTA and 1% SDS, with protease inhibitor cocktail and phosphatase inhibitor cocktails II and III diluted 1:100; Sigma, St Louis, MO, USA), heated at 100 °C for 5 min and were stored at −80 °C until the determination of protein concentration by a detergent-compatible Lowry method (Bio-Rad, Hercules, CA, USA). Samples of protein (20 μg) were subjected to SDS-polyacrylamide gel electrophoresis on 8% acrylamide gels by using a Tris/Glycine/SDS buffer system (Bio-Rad), followed by electrophoretic transfer to polyvinylidene difluoride membranes (GE Healthcare, Piscataway, NJ, USA). Membranes were blocked overnight in 5% non-fat milk at 4 °C and were then incubated in primary antibody. Primary antibodies include pGluA1S845 (1:2500; Millipore, Temecula, CA, USA; Cat. #04-1073), pGluA1S831 (1:2000; Millipore, Temecula, CA, USA; Cat. #04-823), total GluA1 (1:5000; Cell Signaling, Danvers, MA, USA; Cat. #13185), PKA C-α (1:5000–15000; Cell Signaling, Danvers, MA, USA; Cat. #4782), and β-Tubulin (1:500,000; Santa Cruz Biotechnology, Dallas, TX, USA; Cat. # sc-53140). Membranes were washed and labeled with species-specific peroxidase-conjugated secondary antibody (1:10000; Bio-Rad) for 1 h at room temperature. Following chemiluminescence detection (SuperSignal West Pico; Thermo Scientific, Rockford, IL, USA), blots were stripped for 20 min at room temperature (Restore; Thermo Scientific) and were reprobed for total GluA1 levels. Immunoreactivity was quantified by densitometry (ImageJ 1.45S; Bethesda, MD) under linear exposure conditions. Densitized values were expressed as a percentage of the mean of control values for each gel to normalize data across blots. Individual phosphoprotein levels were normalized to individual total GluA1 protein levels to generate phosphorylation: total ratio values for statistical comparison. No significant changes in total GluA1 levels were observed in any region under any treatment condition.
Measurement of Blood Alcohol Levels (BALs)
Tail blood (0.2 ml) was collected and centrifuged, the plasma extracted and injected into an oxygen-rate alcohol analyzer (Analox Instruments, London, UK) for BAL determination. The reaction is based on the oxidation of alcohol by alcohol oxidase in the presence of molecular oxygen (alcohol + O2 → acetaldehyde + H2O2). The rate of oxygen consumption is directly proportional to the alcohol concentration. Single point calibrations were done for each set of samples with reagents provided by Analox Instruments (25–400 mg%).
Statistical Analysis
Western blot data were analyzed using two-way between-subjects ANOVAs with nicotine vapor history and alcohol exposure as factors. Where ANOVAs revealed significant interactions between factors, post hoc analyses were performed via Tukey’s multiple comparison tests.
Results
Phosphorylation of AMPA GluA1 Receptor Subunits in the Prefrontal Cortex
We investigated the interaction of nicotine exposure history and alcohol challenge on excitatory glutamate channel phosphorylation in reward-related brain regions. In the dorsomedial prefrontal cortex (dmPFC), we found that alcohol elicited a robust 87% increase in PKA-mediated GluA1 phosphorylation (q20 = 7.247, p < 0.001; Figure 2A), an effect that was drastically attenuated in animals with a history of nicotine exposure (significant alcohol × nicotine interaction: F1,20 = 4.583, p = 0.0448; significant attenuation of alcohol response in nicotine-exposed animals: q20 = 4.628, p < 0.05) and suggestive of a blunted alcohol-mediated signaling in animals with a history of nicotine exposure. In contrast, alcohol failed to alter PKC-regulated phosphorylation of GluA1 (Figure 2B) in the dmPFC. Within the ventromedial prefrontal cortex (vmPFC), alcohol increased pGluA1S845 to an equal extent (31–33%) in nicotine-exposed and nicotine-naïve groups (main effect of alcohol, F1,20 = 10.74, p = 0.0038; Figure 2C) while again not altering PKC/CaMKII-mediated phosphorylated GluA1 levels (Figure 2D).
Phosphorylation of AMPA GluA1 Receptor Subunits in the Striatum
In the dorsal striatum, PKA-mediated GluA1S845 phosphorylation was significantly increased following alcohol challenge in both air- and nicotine-exposed groups (main effect of alcohol, F1,20 = 38.01, p < 0.0001; Figure 3A). However, pGluA1S845 levels were reduced by chronic nicotine vapor exposure in both injection groups (F1,20 = 22.84, p = 0.0001; Figure 3A), reflecting a divergent regulation of excitatory signaling between acute alcohol and chronic nicotine. In comparison, there was no significant regulation of GluA1S831 phosphorylation by either chronic nicotine vapor or following alcohol challenge (Figure 3B). In the ventral striatum, while there were no significant alterations in the phosphorylation levels of GluA1S845 in any groups (Figure 3C), PKC/CaMKII-mediated GluA1S831 phosphorylation was increased by 30–46% following alcohol challenge between air- and nicotine-exposed animals (main effect of alcohol, F1,20 = 5.351, p = 0.0315; Figure 3D).
Phosphorylation of AMPA GluA1 Receptor Subunits in the Amygdala
In the central amygdala (CeA), PKA-mediated GluA1S845 phosphorylation was significantly increased by 66% following alcohol challenge in air-exposed animals (q20 = 6.807, p < 0.001; Figure 4A. However, similar to the dmPFC, we observed a significant interaction between alcohol challenge and nicotine exposure (F(1, 20) = 5.601, p = 0.0281) that reflected a substantially diminished ability of alcohol to increase pGluA1S845 in nicotine-exposed animals. Also similar to the dmPFC, these interactive neuroadaptations in PKA-mediated phosphorylation did not generalize to PKC/CaMKII regulation of GluA1 subunits (Figure 4B). As seen in the CeA, PKA-mediated GluA1S845 phosphorylation was increased as a main effect of alcohol in the basolateral amygdala (BLA; F1,20 = 11.53, p = 0.0029), although no evidence of tolerance to alcohol-stimulation of pGluA1S845 was present. Further, there were no significant changes in GluA1S831 phosphorylation following nicotine exposure or alcohol challenge in the BLA.
Phosphorylation of AMPA GluA1 Receptor Subunits in the Dorsal Hippocampus and Cingulate Cortex
Alcohol produced robust (43–57%, F1,20 = 13.15, p = 0.0017; Figure 5A) increases in pGluA1S845 and modest increases in pGluA1S831 in the dorsal hippocampus (14–23%; F1,20 = 4.880, p = 0.0390; Figure 5B). Prior nicotine exposure did not modify these main effects of acute alcohol challenge. Similarly, alcohol significantly increased PKA-mediated GluA1 phosphorylation in posterior areas of the cingulate cortex (35–49%, F1,20 = 21.36, p = 0.0002; Figure 5C), an effect that did not extend to PKC/CaMKII-regulated GluA1 (Figure 5D).
Protein Kinase A Catalytic Subunit Levels and Blood Alcohol Levels
Finally, given the significant abatement of alcohol-regulated GluA1S845 phosphorylation following withdrawal from chronic nicotine exposure in the dmPFC, dorsal striatum, and CeA (Figures 2–5), we wanted to determine whether this effect was driven by reductions in catalytic protein kinase A (PKA) subunit levels. We observed no changes in PKA levels across groups in the affected regions (Table 1, Figure 6), suggesting alternative signaling or neurocircuitry mechanisms driving nicotine-induced tolerance to the effects of alcohol in these areas. Furthermore, the observed tolerance-like effects were not due to altered metabolism of alcohol in nicotine-exposed rats, as peak blood alcohol levels following a 1 g/kg challenge in separate cohorts of rats were similar in nicotine-naïve (103.7 ± 16.6 mg/dl) and nicotine-exposed (106.3 ± 25.2 mg/dl) groups 15 minutes following injection (commensurate with our molecular studies).
Table 1.
Brain region | Air/Saline | Air/Alcohol | Nicotine/Saline | Nicotine/Alcohol |
---|---|---|---|---|
Dorsomedial PFC | 100 ±8 | 85± 13 | 88 ±7 | 103 ±12 |
Dorsal striatum | 100 ±20 | 116 ±24 | 108± 16 | 109 ±4 |
Central amygdala | 100 ±9 | 81 ±7 | 94±18 | 91 ±13 |
Total protein levels are normalized to tubulin and expressed as percentage of drug-naive control.
Discussion
Interactive Effects of Nicotine Withdrawal and Alcohol on Reward
The current investigation adds to our understanding of the interactive effects of nicotine and alcohol on glutamatergic signaling within reward-associated brain areas. Whereas alcohol challenge (1 g/kg) increases PKA phosphorylation of GluA1 in a variety of regions, this effect is blunted in the dorsomedial prefrontal cortex (Figure 3), dorsal striatum (Figure 4), and central amygdala (Figure 5) in nicotine-experienced animals. Previous studies have largely focused on brain regional activation one or more hours following acute alcohol administration as indicated by immediate early gene induction (for review, see Vilpoux et al., 2009). In the present study we focused on a much earlier time point and corresponding synaptic substrate (AMPA GluA1 channel phosphorylation) to model the neurobiological effects of acute binge-like intoxication, with or without a history of nicotine exposure, on excitatory signaling across multiple reward-related regions.
A considerable amount of research has described both rewarding and aversive properties associated with nicotine and alcohol, and this balance may change over time or under certain environmental conditions (Verendeev and Riley, 2012). Alcohol reward is mediated by multiple brain regions and likely results from an imbalance in the aversive and appetitive properties of alcohol. Results from our current study (Figures 2–4) lend further support to three brain regions (dorsomedial PFC, dorsal striatum, and central amygdala) as playing critical roles at the intersection of reward and aversion (Hayes et al, 2014). Nicotine-induced attenuation of the ability of alcohol to excite this network (as reflected by reduced GluA1 phosphorylation) may in part explain reports of enhanced alcohol reinforcement in nicotine-dependent animals (Doyon et al., 2013; Leao et al., 2015). Interestingly, activation of nicotinic acetylcholine receptors (nAChRs) in the dorsal hippocampus and basolateral amygdala was previously shown to potentiate alcohol reward (Zarrindast et al., 2010), and both of these areas failed to exhibit tolerance to alcohol-stimulated GluA1 phosphorylation following nicotine exposure in the present study. More definitive mechanisms underlying the magnification of alcohol reward/reinforcement in the context of nicotine dependence remain to be elucidated. For example, it is unknown whether chronic nicotine exposure might enhance alcohol sensitivity or efficacy. Future functional studies employing place conditioning and operant methodologies should shed further light on the specific interactions between alcohol and nicotine reward and reinforcement in relation to excitatory signaling mechanisms.
Altered PKA Signaling in Alcohol-Related Behaviors
As a critical regulator of AMPA function via GluA1 modification, the cyclic AMP-protein kinase A (PKA) signal transduction pathway has been implicated in numerous alcohol and drug dependence-related behaviors (Lee and Messing, 2008). Global disruption of PKA activity increases voluntary alcohol drinking (Thiele et al., 2000). Importantly, cAMP/PKA signaling appears to promote anxiolytic-like behaviors that facilitate excessive drinking (Pandey, 2003). In contrast, inhibition of PKA activity within the central amygdala produces anxiety-like behavior and increases alcohol consumption in non-dependent rodents (Pandey et al. 2003). Pandey and colleagues have demonstrated a role for downstream CREB phosphorylation by PKA and subsequent regulation of neuropeptide Y in these effects (Zhang and Pandey, 2003; Pandey et al., 2005; Zhang et al., 2010), although a similar blunting of alcohol-mediated regulation of PKA activity at the synaptic level following nicotine exposure (Figure 4) may also contribute to an enhanced motivation for alcohol. In the PFC, deficits in PKA signaling were previously shown to promote cognitive deficits associated with alcohol withdrawal, while restoration of cAMP/PKA activity ameliorated these deficits (Dominguez et al., 2016). In the current study, neuroadaptations in alcohol-stimulated PKA phosphorylation of GluA1 produced by nicotine experience were not associated with alterations in total PKA catalytic subunit levels (Figure 6 & Table 1) or alterations in total GluA1 levels, suggesting a more intricate mechanism responsible for this event. Representing one possible mechanism, chronic alcohol vapor exposure is known to increase expression of protein kinase A inhibitor (PKI) alpha in the medial prefrontal cortex and amygdala (Repunte-Canonigo et al., 2007), and a similar change may occur in chronic nicotine vapor-exposed animals to attenuate PKA activity.
Role of Corticostriatal and Corticoamygdalar Circuitry in Nicotine-Alcohol Interactions
A recent study identified discrete neurocircuitry changes associated with nicotine exposure during the transition to alcohol dependence (Leao et al., 2015). As mentioned previously, animals exposed to repeated nicotine injections significantly accelerated escalation of alcohol drinking. Interestingly, alcohol-dependent animals with a history of nicotine exposure displayed increased neuronal activity within the dmPFC and central amygdala as indicated by Fos immunoreactivity. Although the authors did not examine the dorsal striatum, they found similar effects within the more dorsal core subregion of the nucleus accumbens, further implicating dorsal corticostriatal circuitry in alcohol-nicotine interactions in accordance with our results from the dmPFC and dorsal striatum (Figures 2–3). It is possible that enhanced Fos activity in excitatory and/or inhibitory neurons within these brain regions mediates intracellular and/or circuit-level mechanisms of tolerance to excitatory signaling at the synapse following alcohol and nicotine exposure.
Importantly, connections between the PFC and central amygdala have been implicated in binge alcohol drinking (George et al., 2012). Previous work has also shown that nicotine exposure facilitates binge drinking in mice, with associated increases in nAChR levels in frontocortical areas (Locker et al., 2015). Accordingly, nAChR blockade reduces excessive drinking in both binge (Hendrickson et al., 2009) and dependence (Leao et al., 2015) models. The prefrontal cortex regulates a host of executive control functions hypothesized to be dysregulated in drug and alcohol addiction (Crews and Boettiger, 2009), while closely associated mechanisms of impulsivity associate with co-occuring smoking and binge drinking (VanderVeen et al., 2013). The transition to addiction in vulnerable individuals is thought to emerge in association with such cognitive dysfunction, particularly in terms of the various motivational subcomponents regulated by the PFC (George and Koob, 2010).
Over time, and in coordination with regulation of downstream regions (including the dorsal striatum and central amygdala), alterations in PFC function may mediate a progression from impulsive to compulsive drug seeking associated with uncontrollable drug use (Koob, 2009). Neurobiological factors that mediate the balance between alcohol reward and aversion in these or other regions (e.g., the rostromedial tegmental nucleus; Fu et al., 2016, or the lateral habenula; Zuo et al., 2015) may directly contribute to this process. Emerging data that demonstrate highly interactive effects of nicotine and alcohol on the brain support preclinical modeling and a clinical focus aimed at more integrated interventional strategies against problematic use of both drugs (Ames et al., 2014). The present study contributes to our understanding of the neurobiological effects of combined nicotine and alcohol use, and further highlights the potential of restoring disrupted glutamatergic signaling to treat addiction (Knackstedt et al., 2009).
Acknowledgments
This work was generously supported by research and training grants from the National Institute on Alcohol Abuse and Alcoholism (T32AA007577, MAM, AMW, CAI; R01AA023305, NWG; R00AA020839, SE) and by LSUHSC School of Medicine start-up funds. The authors declare no biomedical financial interests or potential conflicts of interest.
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