Open Access

Differential effects of natural rewards and pain on vesicular glutamate transporter expression in the nucleus accumbens

  • David S Tukey1,
  • Michelle Lee2,
  • Duo Xu2,
  • Sarah E Eberle2,
  • Yossef Goffer2, 3,
  • Toby R Manders2,
  • Edward B Ziff1 and
  • Jing Wang2Email author
Contributed equally
Molecular Brain20136:32

https://doi.org/10.1186/1756-6606-6-32

Received: 11 April 2013

Accepted: 29 June 2013

Published: 9 July 2013

Abstract

Background

Pain and natural rewards such as food elicit different behavioral effects. Both pain and rewards, however, have been shown to alter synaptic activities in the nucleus accumbens (NAc), a key component of the brain reward system. Mechanisms by which external stimuli regulate plasticity at NAc synapses are largely unexplored. Medium spiny neurons (MSNs) from the NAc receive excitatory glutamatergic inputs and modulatory dopaminergic and cholinergic inputs from a variety of cortical and subcortical structures. Glutamate inputs to the NAc arise primarily from prefrontal cortex, thalamus, amygdala, and hippocampus, and different glutamate projections provide distinct synaptic and ultimately behavioral functions. The family of vesicular glutamate transporters (VGLUTs 1–3) plays a key role in the uploading of glutamate into synaptic vesicles. VGLUT1-3 isoforms have distinct expression patterns in the brain, but the effects of external stimuli on their expression patterns have not been studied.

Results

In this study, we use a sucrose self-administration paradigm for natural rewards, and spared nerve injury (SNI) model for chronic pain. We examine the levels of VGLUTs (1–3) in synaptoneurosomes of the NAc in these two behavioral models. We find that chronic pain leads to a decrease of VGLUT1, likely reflecting decreased projections from the cortex. Pain also decreases VGLUT3 levels, likely representing a decrease in projections from GABAergic, serotonergic, and/or cholinergic interneurons. In contrast, chronic consumption of sucrose increases VGLUT3 in the NAc, possibly reflecting an increase from these interneuron projections.

Conclusion

Our study shows that natural rewards and pain have distinct effects on the VGLUT expression pattern in the NAc, indicating that glutamate inputs to the NAc are differentially modulated by rewards and pain.

Keywords

Vesicular glutamate transporters (VGLUTs) Nucleus accumbens Glutamate Natural rewards Pain

Background

Natural rewards and pain are represented in the brain with opposite hedonic values. Chronic administration of rewards leads to seeking and craving [1]. Pain, on the other hand, triggers avoidance behavior, and chronic pain can even lead to depression and anxiety [2]. The molecular basis for the behavioral changes observed after chronic presentation of natural reward and pain, however, remains incompletely understood. The nucleus accumbens (NAc) is a key component of brain reward circuitry [1, 3]. Recent works from our and other labs show that medium spiny neurons (MSNs) in the NAc undergo synaptic modifications in the presence of natural rewards or drugs of addiction [47], and that synaptic plasticity in the NAc modulates craving for natural rewards or drugs of abuse [6, 8]. We have recently shown, in particular, that in the presence of a natural reward such as sucrose, glutamate signaling in the NAc is augmented through synaptic incorporation of calcium permeable AMPA receptors (CPARs) [7]. At the same time, the NAc has also been shown by human imaging and animal studies to be activated by pain [9, 10]. Furthermore, there is evidence that activation of the NAc in pain states is involved in avoidance behaviors. Thus, the NAc is an important region for both reward- and pain-induced behavioral plasticity.

The NAc receives afferent inputs from multiple cortical and subcortical structures, including the prefrontal cortex (PFC), thalamus, hippocampus, amygdala, and ventral tegmental area (VTA) [3]. The PFC, thalamus, hippocampus, and amygdala provide key glutamate inputs to the NAc, whereas the VTA is the main source for dopamine. A complex interplay of glutamate and dopamine inputs modulates the synaptic functions of the NAc [1115]. There is emerging evidence that appetitive and aversive stimuli provide distinct dopaminergic inputs to the NAc [16, 17]. However, the glutamatergic inputs to the NAc have not been well characterized in the presence of natural rewards or pain.

The accumulation of presynaptic glutamate in secretory vesicles is mediated by vesicular glutamate transporters (VGLUTs). VGLUTs (1–3) are a family of glutamate transport molecules, and these transporters control glutamate release from presynaptic neurons [18, 19]. The levels of VGLUT expression have been correlated with levels of glutamate at the synaptic cleft [18]. Members of the VGLUT family also have distinct expression patterns. VGLUT1 and VGLUT2 are expressed in glutamatergic neurons in a complementary manner [20, 21]. In the brain, VGLUT1 is primarily found in the cerebral cortex, hippocampus, and cerebellar cortex nuclei [2125]. In contrast, VGLUT2 is mainly expressed in the thalamus, brainstem and deep cerebellar nuclei [2123, 25]. In addition, VGLUT2 has been found in dopaminergic neurons, in particular, in dopaminergic neurons from the VTA [2629]. A third member of the VGLUT family, VGLUT3, is found in serotonergic neurons in the raphe nuclei and a subset of GABAergic interneurons in the cortex and hippocampus [20, 30, 31]. This primarily non-glutamatergic distribution of VGLUT3 suggests that it may in fact be a co-transporter of glutamate and other inhibitory or modulatory molecular signals such as GABA and serotonin [32]. In particular, VGLUT3 is also expressed on cholinergic interneurons in the NAc [33, 34]. These cholinergic interneurons have been shown to play a critical role for the function of the NAc [3537], and VGLUT3 likely regulates the co-release of acetylcholine and glutamate to influence the synaptic function in these neurons [33, 34].

Because of the distinct expression pattern of the VGLUTs 1–3, these proteins can serve as presynaptic markers to understand glutamate inputs to the NAc under conditions of rewards or pain. We have developed a sucrose self-administration paradigm in rats to model chronic natural rewards, and we have recently shown that this paradigm induces psychomotor hyperactivity, a behavioral phenotype that is indicative of reward seeking [7]. In addition, we found that this paradigm results in the formation of CPARs, an important form of synaptic modification in the NAc. Transmission through these newly formed receptors, in turn, regulates reward seeking behaviors [7]. At the same time, we have also developed spared nerve injury (SNI) to model chronic pain in rats, and we have shown that this model leads to depression-like behaviors in addition to sensory allodynia [38]. In the current study, we examine VGLUTs levels in the NAc using these two rat models. We find that chronic pain decreases VGLUT1 and 3 levels, whereas repeated sucrose intake causes an increase in VGLUT3. These data suggest that pain causes a decrease in cortical inputs to the NAc. Meanwhile, co-release of glutamate with GABA, serotonin, and/or acetylcholine at NAc synapses is potentially decreased by chronic pain, but increased by natural rewards.

Results

Chronic pain decreases VGLUT1 and VGLUT3 expression in the NAc

We used the SNI model, a peripheral nerve injury model for chronic neuropathic pain in adult male rats [38]. In this model, we surgically resected common peroneal and tibial branches of the sciatic nerve, leaving the sural nerve intact. 3 days after SNI, rats experienced abnormal hypersensitivity to mechanical and cold stimuli (Figure 1A and 1B), classic sensory indices for pain. Sensory hypersensitivity after SNI was chronic, persisting for at least 14 days (p < 0.0001) [38]. In contrast, control rats which underwent sham operation did not show this sensory hypersensitivity.
Figure 1

SNI Causes Mechanical and Cold Hypersensitivity After Surgery. (A) SNI-operated rats developed mechanical hypersensitivity after surgery. Two-way ANOVA with repeated measures, followed by Bonferroni post-test, n = 6, p < 0.0001. (B) Rats developed cold hypersensitivity after SNI. n = 6, p < 0.0001. Error bars show mean and s.e.m.

To examine the expression patterns of different VGLUTs in the NAc in the chronic pain state, we used Western blot analysis to measure the protein levels of VGLUT1-3 from the NAc in SNI- or sham-treated rats. We isolated synaptoneurosome fractions from the NAc in these rats 14 days after surgery. Synaptoneurosome fractions contain both pre- and postsynaptic terminals. As over 90% of neurons in the NAc are MSNs, these fractions likely reflect synaptic terminals at MSN synapses. In this case, synaptoneurosome fractions were used to assess the presynaptic expression of VGLUTs. We observed a 30% decrease in the level of VGLUT1 in SNI-treated animals (Figure 2A, n=14-15, p < 0.05). Because VGLUT1 is predominantly expressed in cortical structures such as cerebral cortex, hippocampus, and cerebellar nuclei, our data indicate that chronic pain causes a decrease in the glutamate release from these regions. The level of VGLUT2, however, remained unchanged (Figure 2B, n=15, p > 0.05), suggesting that summed glutamate inputs from thalamus and brainstem to the NAc, mainly mediated by VGLUT2, are likely unaltered in the pain state at a gross biochemical level. Finally, VGLUT3 levels also showed a 20% decrease in chronic pain animals (Figure 2C, n=9, p < 0.05), suggesting a decreased capacity for glutamate co-release onto the MSNs in the NAc from non-glutamatergic neurons.
Figure 2

Chronic Pain Causes a Selective Decrease in VGLUT1 and VGLUT3 Expression in the NAc. (A) SNI caused a decrease in VGLUT1 subunits in the synaptoneurosomes of NAc. Student’s t test, n=15, p < 0.05. (B) SNI caused no changes in VGLUT2 subunits in the synaptoneurosomes of the NAc. n = 15, p > 0.05. (C) SNI caused a decrease in VGLUT3 subunits in the synaptoneurosomes of the NAc. n = 9, p < 0.05. Data were normalized to values in the sham group. Error bars show mean and s.e.m.

Repeated sucrose ingestion increases VGLUT 3 expression in the NAc

Next we examined VGLUT expressions in the presence of chronic consumption of sucrose, a natural reward. We recently developed a sucrose ingestion paradigm to model the effects of a natural, orosensory reward (Figure 3) [7]. Here, adult male rats were transported to a test room on three consecutive days to acclimate to the test environment. Subsequently, the rats were given 5 minutes access to 25% sucrose solution for 7 consecutive days. During each of these conditioning days, rats were exposed to bottles containing either 25% sucrose solution or water (control) for 5 min. This brief, non-contingent access to a highly palatable (sucrose) solution allowed us to investigate the cumulative effect of repeated consumption of a natural reward (Figure 3). We recently reported that this paradigm results in psychomotor hyperactivity, a behavioral trait indicative of reward seeking, as well as synaptic modifications in the NAc [7].
Figure 3

Sucrose Ingestion Paradigm. Adult male rats were transported to a test room for 3 consecutive days. The rats were then placed in a chamber for the next 7 days, exposed to bottles containing either 25% sucrose or water (control) for five min on each of these days.

Using this sucrose ingestion model, we isolated the synaptoneurosome fractions of rats in the sucrose group as well as rats in the water (control) group. We found that after 7 days of sucrose consumption, there was minimal difference in the synaptoneurosomal expression of VGLUT1 levels in the sucrose group and the control group (Figure 4A, n = 8-9, p > 0.05). This is in contrast to our finding of decreased VGLUT1 expression in rats that experienced chronic pain. Meanwhile, we found that there was an increased trend of VGLUT2 in the sucrose group compared with control group (Figure 4B, n = 11). However, this increase was not statistically significant (p > 0.05). Interestingly, we observed a significant increase in the level of VGLUT3 (~40%) in the sucrose group (Figure 4C, n =10, p < 0.05). These data suggest that an increase in the transport of glutamate to the NAc from primarily non-glutamatergic neurons may occur with natural rewards. This is the opposite of what we found in the chronic pain model, where a decrease of VGLUT3 was observed in SNI-treated rats.
Figure 4

Repeated Sucrose Ingestion Causes a Selective Increase in VGLUT3 Expression in the NAc. (A) Repeated ingestion of sucrose caused no changes in VGLUT1 subunits in the synaptoneurosomes of NAc. Student’s t test, n = 8-9, p > 0.05. (B) Repeated ingestion of sucrose causes an increased trend for the level of VGLUT2 subunits in the synaptoneurosomes of the NAc. n =11, p > 0.05. (C) Repeated ingestion of sucrose caused an increase in VGLUT3 subunits in the synaptoneurosomes of the NAc. n =10, p < 0.05. Data were normalized to values in the control group. Error bars show mean and s.e.m.

Discussion

In this study, we examine how natural rewards and pain alter the expression of VGLUTs in the NAc. We find that levels of VGLUT1 and VGLUT3 are decreased with chronic pain, and that VGLUT3 level is increased with chronic administration of natural rewards. These results provide an important step in the understanding of reward circuitry resulting from induction of appetitive and aversive states.

Here we use a behavioral protocol that mimics repeated natural reward consumption [7]. In a previous report, we used this model to show that sucrose consumption increases psychomotor hyperactivity. Psychomotor hyperactivity has been used as an index for addiction-like behaviors, and thus our model provides a predictable behavioral response to chronic consumption of a natural reward. In addition, using this model we have previously shown that chronic sucrose consumption leads to the formation of CPARs at the postsynaptic sites of MSNs. In our current study, we use this same behavioral paradigm for natural rewards to assess presynaptic changes in the NAc [7]. At the same time, we compare these presynaptic changes occurring in response to natural rewards with changes that occur in a chronic pain state, a behavioral condition with contrasting hedonic value.

VGLUT1 is primarily expressed in cortical structures, and it has been shown that the NAc receives gluta-matergic inputs from the PFC and hippocampus in particular [3]. Interplay between hippocampal and PFC glutamate inputs is thought to provide synaptic plasticity in the MSNs to regulate reward learning [39, 40]. Our finding that VGLUT1 level is decreased by chronic pain indicates that there may be a diminution of these afferent inputs. This decrease can be the result of decreased expression, altered connectivity, or loss of afferent fibers. Previous reports of grey matter loss in the PFC in chronic pain states suggest the latter possibility [9, 41]. On the other hand, the level of VGLUT1 is unaltered in the chronic sucrose administration model. Cortical inputs are well known to regulate reward seeking behaviors [8]. A lack of change in VGLUT1 levels in our study on natural rewards suggests that this top down control may be preserved in the presence of natural rewards.

In contrast to VGLUT1, VGLUT2 is primarily expressed in subcortical structures [20, 21]. Whereas the brainstem provides a minor afferent input to the NAc, the thalamus is a major source of glutamate for the NAc [42, 43]. In our study, there is an increased trend for VGLUT2 with repeated sucrose consumption, but this trend is not statistically significant. In our model of natural reward, sucrose likely stimulates the orosensory circuit, and the thalamus is a key locus in this circuit. The thalamo-striatal circuit is also known to play an important role in reinstatement of reward learning [44], and thalamic projections have been shown to modify dopaminergic inputs to the NAc in the presence of natural rewards. At the same time, however, VGLUT2 has also been found in dopaminergic neurons from the VTA that project to the NAc [2629]. Its presence in these neurons has been proposed to allow the release of glutamate from VTA dopamine neurons [45]. This synergy between glutamate and dopamine signaling may be critical for the plasticity of postsynaptic AMPA receptors [46]. In our study, VGLUT2 appears to be increased in the NAc with repeated sucrose ingestion. This increased trend, while not statistically significant, nevertheless suggests that orosensory rewards may either strengthen thalamo-striatal connectivity and/or promote the co-release of glutamate and dopamine. In contrast, VGLUT2 levels are unaltered in the pain state.

Whereas VGLUT1 and 2 are expressed in typical glutamatergic neurons, VGLUT3 is often expressed on serotonergic, GABAergic, or cholinergic neurons and may regulate the co-release of glutamate and serotonin, GABA, or acetylcholine from presynaptic terminals [32]. In the striatum, VGLUT3 is highly expressed in the cholinergic interneurons [33, 34]. Although these interneurons comprise of a minority of the neuronal population in the NAc, their inputs to the MSN have been shown to regulate food satiety and addiction to drugs [4749]. We find here that in the NAc, VGLUT3 is increased in rats that consume sucrose repeatedly, and decreased in rats that have chronic pain. In the NAc, VGLUT3 is involved in the co-release of glutamate from these cholinergic neurons [33, 34]. Thus, there are two possible interpretations of our data. First, the change in VGLUT3 levels may represent only a change in the extent of co-release of glutamate, without a concurrent change in acetylcholine release. In this scenario, there may be a de-coupling of glutamate and acetylcholine release from these interneurons. This may serve as a mechanism to selectively control glutamate outputs locally from these neurons without compromising their cholinergic outputs. Cholinergic outputs from these interneurons have been shown to modulate the excitability of MSNs and regulate their responsiveness to additional dopaminergic and glutamatergic inputs [3537]. This decoupling mechanism allows the preservation of this cholinergic tone and its subsequent regulation of dopamine and glutamate responsiveness of the MSNs. In this case, pain may only decrease glutamate input in the MSNs locally, but modulatory cholinergic inputs are preserved, allowing continued cholinergic gating of inputs from other neuronal sources. Likewise, natural rewards may selectively increase glutamate inputs to the MSNs, without changes in the cholinergic tone in the NAc. A second possible interpretation of our VGLUT3 data is that there is an overall alteration in the presynaptic inputs from these cholinergic interneurons, and both acetylcholine and glutamate release are simultaneously modified by pain or natural reward. In this scenario, the overall neuronal activities of these cholinergic neurons can be modified by the hedonic state of the animal. For example, in the pain state, in addition to a decrease in excitatory glutamate inputs, a reduction of cholinergic inputs may also occur that can alter the responsiveness of the MSNs to dopamine and glutamate inputs from other brain regions as well. In either case, innervation from cholinergic interneurons responds to the hedonic value, where natural rewards increase the capacity for glutamate release, and pain decreases it. Finally, VGLUT3 is also expressed in serotonergic neurons in the raphe nuclei and a subset of GABAergic interneurons in the cortex and hippocampus [20, 30, 31]. Thus, it is also possible that alterations in VGLUT3 levels observed in our study correspond to changes in inputs from these more distant neuronal populations. Regardless of the exact source of VGLUT3, this opposing expression pattern in pain vs. reward state signals a novel form of synaptic control in the NAc.

Conclusion

We find that chronic consumption of sucrose, a natural reward, increases VGLUT3 expression in the NAc. Chro-nic pain, however, decreases VGLUT1 and VGLUT3 levels. These results suggest that natural rewards and pain have distinct but important effects on the glutamatergic inputs to the NAc. This study provides the foundation for a better understanding of reward circuitry in rewarding and painful states.

Methods

Animals

All procedures in this study were approved by the New York University School of Medicine Institutional Animal Care and Use Committee (IACUC) as consistent with the National Institute of Health (NIH) Guide for the Care and Use of Laboratory Animals (publication number 85–23) to ensure minimal animal use and discomfort. Male Sprague–Dawley rats were purchased from Taconic Farms, Albany, NY and kept in the NYU Langone Medical Center’s Central Animal Facility, with controlled humidity, room temperature, and 12-h (6:30 AM to 6:30 PM) light–dark cycle. Food and water were available ad libitum. Animals arrived to the animal facility at 300 to 350 grams and were given on average 10 days to adjust to the new environment prior to the onset of any experiments.

Spared nerve injury (SNI) surgery

The Spared Nerve Injury (SNI) surgery was previously described in detail [38]. Briefly, under Isoflurane anesthesia (1.5 to 2%), the skin on the lateral surface of the right thigh of the rat was incised and a section made through the biceps femoris muscle to expose three branches of the sciatic nerve: sural, common peroneal and tibial nerves. The common peroneal and tibial nerves were tied with non-absorbent 5.0 silk sutures at the point of trifurcation. The nerves were then cut distal to the knot, and about 3 to 5 mm of the distal ends were removed. In sham surgeries (control), above nerves were dissected but not cut. Muscle layer was then sutured closed with absorbent 4.0 antibacterial sutures, while skin was stapled. Staples were removed prior to behavioral testing. Animals were sacrificed 14 days after SNI or sham surgery.

Sucrose self-administration paradigm

The sucrose self-administration procedure was performed as previously reported. Rats were transported to the test room 3 consecutive days for 2 h/day in their home cages. On the fourth day, after 15-min in the chamber, a bottle with a bead stopper was introduced through the top of the chamber and stabilized. This bottle was introduced for 5 min, and rats were allowed to drink ad libitum, and each rat consumed at least 1 g of sucrose by the third session. The bottle was removed from the top of the chamber after 5-min, and the rats remained in the chamber for an additional 15-min after bottle removal. This procedure was repeated identically for 7 consecutive days. On the day of sacrifice, rats were decapitated by guillotine, and tissue samples were collected on ice.

Subcellular fractionation and Western blotting

Rats were deeply anesthetized with isoflurane (5%) and decapitated immediately. Brains were quickly removed and nucleus accumbens were collected on ice. Whole cell and synaptosome fractions were prepared as described previously [7]. To prepare synaptoneurosome fractions, nucleus accumbens samples were homogenized in an ice-cold solution A (0.32 M sucrose, 1 mM NaHCO3, 1 mM MgCl2, 0.5 mM CaCl2, 0.1 mM PMSF and 1× Complete Protease Inhibitors (Roche Applied Science). Homogenates were centrifuged at 4,000 rpm for 10 min. The supernatant was collected and the pellet re-homogenized in solution A and centrifuged again at 3,000 rpm for 10 min. Combined supernatants were subjected to a second centrifugation at 3,000 rpm for 10 min. Supernatants were then spun at 14,000 rpm for 30 min. Pellet was resuspended in solution B (0.32 M sucrose, 1 mM NaHCO3) and homogenized. Homogenate was layered on top of a 5 mL 1 M sucrose and 1.2 M sucrose gradient and centrifuged at 30,000 rpm for 2 hours. Purified synaptosomes were collected at the 1 M and 1.2 M sucrose interface, suspended in solution B and centrifuged at 40,000 rpm for 45 min. Synaptosomal pellets were resuspended in 25 mM TRIS with 4% SDS. Equal amounts of fractions (5–10 μg) were loaded on SDS-PAGE gels and analyzed by Western blot as previously described. Fractions were analyzed by Western blot on SDS-PAGE gels as described previously [48]. The following antibodies were used: VGLUT1 (1:1,000, Millipore), VGLUT2 (1:1,000, Millipore), VGLUT3 (1:500, Millipore) and tubulin (1:30,000, Sigma).

Animal behavioral tests

Mechanical hypersensitivity test

A traditional Dixon up-down method with von Frey filaments was used to measure mechanical hypersensitivity as described previously [38]. In brief, rats were individually placed into plexiglass chambers over a mesh table and acclimated for 20 min before the onset of examination. Beginning with 2.55 g, von Frey filaments in a set with logarithmically incremental stiffness (0.45, 0.75, 1.20, 2.55, 4.40, 6.10, 10.50, 15.10 g) were applied to the lateral 1/3 of right paws (in the distribution of the sural nerve) of rats. 50% withdrawal threshold was calculated as described previously [38].

Cold hypersensitivity test

Animals were individually placed into plexiglass chambers as above and acclimated for 20 min. A drop of acetone was applied to the lateral plantar surface of the paws (in the distribution of the sural nerve). As previously described [38], the following scoring system was applied. 0: no visible response or startle response lasting < 0.5 second; 1: paw withdrawal lasting < 5 seconds; 2: withdrawal lasting 5 to 10 seconds, +/− licking of the paws; 3: prolonged repetitive withdrawal lasting > 10s. Acetone was applied 5 times to each paw, and an average score was calculated. Cold hypersensitivity tests were typically done after mechanical allodynia tests on the same day, and observers were blinded to the test conditions.

Data analysis and statistics

For Western blots, unpaired two-tailed Student’s t tests were used to analyze the proteins levels in SNI- versus sham-treated rats and to analyze water vs. sucrose consuming rats. The results of behavioral experiments were given as mean ± SEM. For mechanical hypersensitivity, a two-way ANOVA with repeated measures, followed by post hoc multiple pair-wise comparison Bonferroni tests was used to compare the 50% withdrawal threshold of SNI- and sham-treated rats. Cold hypersensitivity was analyzed using a two-way ANOVA with repeated measures, followed by post hoc multiple pair-wise comparison Bonferroni tests. For all tests, a p value < 0.05 was considered statistically significant. All data were analyzed using GraphPad Prism Version 5 software (GraphPad, La Jolla, CA).

Notes

Declarations

Acknowledgments

This work was supported by the National Institute of Mental Health (F31MH76617-01 to DT), National Institute for General Medical Sciences (GM102691), National Institute for Neurologic Disorders and Stroke (NS061920), Foundation for Anesthesia Education and Research (MRTG-BS-02/15/2010), and the Anesthesia Research Fund of the New York University Department of Anesthesiology.

Authors’ Affiliations

(1)
Department of Biochemistry, New York University School of Medicine
(2)
Department of Anesthesiology, New York University School of Medicine
(3)
Columbia University College of Physicians and Surgeons

References

  1. Sesack SR, Grace AA: Cortico-Basal Ganglia reward network: microcircuitry. Neuropsychopharmacology. 2010, 35 (1): 27-47. 10.1038/npp.2009.93.PubMed CentralView ArticlePubMedGoogle Scholar
  2. Dworkin RH, Gitlin MJ: Clinical aspects of depression in chronic pain patients. Clin J Pain. 1991, 7 (2): 79-94. 10.1097/00002508-199106000-00004.View ArticlePubMedGoogle Scholar
  3. Wise RA, Bozarth MA: Brain mechanisms of drug reward and euphoria. Psychiatr Med. 1985, 3 (4): 445-60.PubMedGoogle Scholar
  4. Kable JW, Glimcher PW: The neurobiology of decision: consensus and controversy. Neuron. 2009, 63 (6): 733-45. 10.1016/j.neuron.2009.09.003.PubMed CentralView ArticlePubMedGoogle Scholar
  5. Carr KD, et al: AMPA receptor subunit GluR1 downstream of D-1 dopamine receptor stimulation in nucleus accumbens shell mediates increased drug reward magnitude in food-restricted rats. Neuroscience. 2010, 165 (4): 1074-86. 10.1016/j.neuroscience.2009.11.015.PubMed CentralView ArticlePubMedGoogle Scholar
  6. Conrad KL, et al: Formation of accumbens GluR2-lacking AMPA receptors mediates incubation of cocaine craving. Nature. 2008, 454 (7200): 118-21. 10.1038/nature06995.PubMed CentralView ArticlePubMedGoogle Scholar
  7. Tukey DS, et al: Sucrose ingestion induces rapid AMPA receptor trafficking. J Neurosci. 2013, 33 (14): 6123-32. 10.1523/JNEUROSCI.4806-12.2013.PubMed CentralView ArticlePubMedGoogle Scholar
  8. Kalivas PW, Volkow ND: The neural basis of addiction: a pathology of motivation and choice. Am J Psychiatry. 2005, 162 (8): 1403-13. 10.1176/appi.ajp.162.8.1403.View ArticlePubMedGoogle Scholar
  9. Geha PY, et al: The brain in chronic CRPS pain: abnormal gray-white matter interactions in emotional and autonomic regions. Neuron. 2008, 60 (4): 570-81. 10.1016/j.neuron.2008.08.022.PubMed CentralView ArticlePubMedGoogle Scholar
  10. Gear RW, Aley KO, Levine JD: Pain-induced analgesia mediated by mesolimbic reward circuits. J Neurosci. 1999, 19 (16): 7175-7181.PubMedGoogle Scholar
  11. Thomas MJ, et al: Long-term depression in the nucleus accumbens: a neural correlate of behavioral sensitization to cocaine. Nat Neurosci. 2001, 4 (12): 1217-23. 10.1038/nn757.View ArticlePubMedGoogle Scholar
  12. Grueter BA, Brasnjo G, Malenka RC: Postsynaptic TRPV1 triggers cell type-specific long-term depression in the nucleus accumbens. Nat Neurosci. 2010, 13 (12): 1519-25. 10.1038/nn.2685.PubMed CentralView ArticlePubMedGoogle Scholar
  13. Pascoli V, Turiault M, Luscher C: Reversal of cocaine-evoked synaptic potentiation resets drug-induced adaptive behaviour. Nature. 2012, 481 (7379): 71-5.View ArticleGoogle Scholar
  14. Mameli M, et al: Cocaine-evoked synaptic plasticity: persistence in the VTA triggers adaptations in the NAc. Nat Neuroscience. 2009, 12 (8): 1036-41. 10.1038/nn.2367.View ArticlePubMedGoogle Scholar
  15. Ungless MA, et al: Single cocaine exposure in vivo induces long-term potentiation in dopamine neurons. Nature. 2001, 411 (6837): 583-7. 10.1038/35079077.View ArticlePubMedGoogle Scholar
  16. Lammel S, et al: Projection-specific modulation of dopamine neuron synapses by aversive and rewarding stimuli. Neuron. 2011, 70 (5): 855-62. 10.1016/j.neuron.2011.03.025.PubMed CentralView ArticlePubMedGoogle Scholar
  17. Roitman MF, et al: Real-time chemical responses in the nucleus accumbens differentiate rewarding and aversive stimuli. Nat Neurosci. 2008, 11 (12): 1376-7. 10.1038/nn.2219.PubMed CentralView ArticlePubMedGoogle Scholar
  18. Wilson NR, et al: Presynaptic regulation of quantal size by the vesicular glutamate transporter VGLUT1. J Neurosci. 2005, 25 (26): 6221-34. 10.1523/JNEUROSCI.3003-04.2005.View ArticlePubMedGoogle Scholar
  19. Melo CV, et al: BDNF regulates the expression and distribution of vesicular glutamate transporters in cultured hippocampal neurons. PLoS One. 2013, 8 (1): e53793-10.1371/journal.pone.0053793.PubMed CentralView ArticlePubMedGoogle Scholar
  20. Fremeau RT, et al: The identification of vesicular glutamate transporter 3 suggests novel modes of signaling by glutamate. Proc Natl Acad Sci U S A. 2002, 99 (22): 14488-93. 10.1073/pnas.222546799.PubMed CentralView ArticlePubMedGoogle Scholar
  21. Fremeau RT, et al: The expression of vesicular glutamate transporters defines two classes of excitatory synapse. Neuron. 2001, 31 (2): 247-60. 10.1016/S0896-6273(01)00344-0.View ArticlePubMedGoogle Scholar
  22. Takamori S, et al: Identification of differentiation-associated brain-specific phosphate transporter as a second vesicular glutamate transporter (VGLUT2). J Neurosci. 2001, 21 (22): RC182-PubMedGoogle Scholar
  23. Herzog E, et al: The existence of a second vesicular glutamate transporter specifies subpopulations of glutamatergic neurons. J Neurosci. 2001, 21 (22): RC181-PubMedGoogle Scholar
  24. Takamori S, et al: Identification of a vesicular glutamate transporter that defines a glutamatergic phenotype in neurons. Nature. 2000, 407 (6801): 189-94. 10.1038/35025070.View ArticlePubMedGoogle Scholar
  25. Varoqui H, et al: Identification of the differentiation-associated Na+/PI transporter as a novel vesicular glutamate transporter expressed in a distinct set of glutamatergic synapses. J Neurosci. 2002, 22 (1): 142-55.PubMedGoogle Scholar
  26. Yamaguchi T, Sheen W, Morales M: Glutamatergic neurons are present in the rat ventral tegmental area. Eur J Neurosci. 2007, 25 (1): 106-18. 10.1111/j.1460-9568.2006.05263.x.PubMed CentralView ArticlePubMedGoogle Scholar
  27. Berube-Carriere N, et al: The dual dopamine-glutamate phenotype of growing mesencephalic neurons regresses in mature rat brain. J Comp Neurol. 2009, 517 (6): 873-91. 10.1002/cne.22194.View ArticlePubMedGoogle Scholar
  28. Descarries L, et al: Glutamate in dopamine neurons: synaptic versus diffuse transmission. Brain Res Rev. 2008, 58 (2): 290-302. 10.1016/j.brainresrev.2007.10.005.View ArticlePubMedGoogle Scholar
  29. Kawano M, et al: Particular subpopulations of midbrain and hypothalamic dopamine neurons express vesicular glutamate transporter 2 in the rat brain. J Comp Neurol. 2006, 498 (5): 581-92. 10.1002/cne.21054.View ArticlePubMedGoogle Scholar
  30. Nickerson Poulin A, et al: Vesicular glutamate transporter 3 immunoreactivity is present in cholinergic basal forebrain neurons projecting to the basolateral amygdala in rat. J Comp Neurol. 2006, 498 (5): 690-711. 10.1002/cne.21081.View ArticlePubMedGoogle Scholar
  31. Somogyi J, et al: GABAergic basket cells expressing cholecystokinin contain vesicular glutamate transporter type 3 (VGLUT3) in their synaptic terminals in hippocampus and isocortex of the rat. Eur J Neurosci. 2004, 19 (3): 552-69. 10.1111/j.0953-816X.2003.03091.x.View ArticlePubMedGoogle Scholar
  32. El Mestikawy S, et al: From glutamate co-release to vesicular synergy: vesicular glutamate transporters. Nat Rev Neurosci. 2011, 12 (4): 204-16.View ArticlePubMedGoogle Scholar
  33. Gras C, et al: A third vesicular glutamate transporter expressed by cholinergic and serotonergic neurons. J Neurosci. 2002, 22 (13): 5442-51.PubMedGoogle Scholar
  34. Schafer MK, et al: Molecular cloning and functional identification of mouse vesicular glutamate transporter 3 and its expression in subsets of novel excitatory neurons. J Biol Chem. 2002, 277 (52): 50734-48. 10.1074/jbc.M206738200.View ArticlePubMedGoogle Scholar
  35. Mark GP, et al: Cholinergic modulation of mesolimbic dopamine function and reward. Physiol Behav. 2011, 104 (1): 76-81. 10.1016/j.physbeh.2011.04.052.PubMed CentralView ArticlePubMedGoogle Scholar
  36. Brown MT, et al: Ventral tegmental area GABA projections pause accumbal cholinergic interneurons to enhance associative learning. Nature. 2012, 492 (7429): 452-6. 10.1038/nature11657.View ArticlePubMedGoogle Scholar
  37. Tepper JM, Bolam JP: Functional diversity and specificity of neostriatal interneurons. Curr Opin Neurobiol. 2004, 14 (6): 685-92. 10.1016/j.conb.2004.10.003.View ArticlePubMedGoogle Scholar
  38. Wang J, et al: A single subanesthetic dose of ketamine relieves depression-like behaviors induced by neuropathic pain in rats. Anesthesiology. 2011, 115 (4): 812-21. 10.1097/ALN.0b013e31822f16ae.PubMed CentralView ArticlePubMedGoogle Scholar
  39. Macaskill AF, et al: Subcellular connectivity underlies pathway-specific signaling in the nucleus accumbens. Nat Neurosci. 2012, 15 (12): 1624-6. 10.1038/nn.3254.PubMed CentralView ArticlePubMedGoogle Scholar
  40. Britt JP, et al: Synaptic and behavioral profile of multiple glutamatergic inputs to the nucleus accumbens. Neuron. 2012, 76 (4): 790-803. 10.1016/j.neuron.2012.09.040.PubMed CentralView ArticlePubMedGoogle Scholar
  41. Kim JH, et al: Regional grey matter changes in patients with migraine: a voxel-based morphometry study. Cephalalgia. 2008, 28 (6): 598-604. 10.1111/j.1468-2982.2008.01550.x.View ArticlePubMedGoogle Scholar
  42. Finch DM: Neurophysiology of converging synaptic inputs from the rat prefrontal cortex, amygdala, midline thalamus, and hippocampal formation onto single neurons of the caudate/putamen and nucleus accumbens. Hippocampus. 1996, 6 (5): 495-512. 10.1002/(SICI)1098-1063(1996)6:5<495::AID-HIPO3>3.0.CO;2-I.View ArticlePubMedGoogle Scholar
  43. Christie MJ, et al: Excitatory amino acid projections to the nucleus accumbens septi in the rat: a retrograde transport study utilizing D[3H]aspartate and [3H]GABA. Neuroscience. 1987, 22 (2): 425-39. 10.1016/0306-4522(87)90345-9.View ArticlePubMedGoogle Scholar
  44. Parsons MP, Li S, Kirouac GJ: Functional and anatomical connection between the paraventricular nucleus of the thalamus and dopamine fibers of the nucleus accumbens. J Comp Neurol. 2007, 500 (6): 1050-63. 10.1002/cne.21224.View ArticlePubMedGoogle Scholar
  45. Tecuapetla F, et al: Glutamatergic signaling by mesolimbic dopamine neurons in the nucleus accumbens. J Neurosci. 2010, 30 (20): 7105-10. 10.1523/JNEUROSCI.0265-10.2010.PubMed CentralView ArticlePubMedGoogle Scholar
  46. Sun X, et al: Acute and chronic dopamine receptor stimulation modulates AMPA receptor trafficking in nucleus accumbens neurons cocultured with prefrontal cortex neurons. J Neurosci. 2008, 28 (16): 4216-30. 10.1523/JNEUROSCI.0258-08.2008.PubMed CentralView ArticlePubMedGoogle Scholar
  47. Avena NM, Rada PV: Cholinergic modulation of food and drug satiety and withdrawal. Physiol Behav. 2012, 106 (3): 332-6. 10.1016/j.physbeh.2012.03.020.PubMed CentralView ArticlePubMedGoogle Scholar
  48. Huang YH, et al: Searching for presynaptic NMDA receptors in the nucleus accumbens. J Neurosci. 2011, 31 (50): 18453-63. 10.1523/JNEUROSCI.3824-11.2011.PubMed CentralView ArticlePubMedGoogle Scholar
  49. de Rover M, et al: Long-lasting nicotinic modulation of GABAergic synaptic transmission in the rat nucleus accumbens associated with behavioural sensitization to amphetamine. Eur J Neurosci. 2004, 19 (10): 2859-70. 10.1111/j.0953-816X.2004.03370.x.View ArticlePubMedGoogle Scholar

Copyright

© Tukey et al.; licensee BioMed Central Ltd. 2013

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Advertisement