Abstract
Environmental enrichment (EE) is a robust intervention for reducing cocaine-seeking behaviors in animals when given during forced abstinence. However, the mechanisms that underlie these effects are not well-established. We investigated the adult male rat transcriptome using RNA-sequencing (RNA-seq) following differential housing during forced abstinence from cocaine self-administration for either 1 or 21 days. Enriched, 21-day forced abstinence rats displayed a significant reduction in cocaine-seeking behavior compared to rats housed in isolation. RNA-seq of the nucleus accumbens shell revealed hundreds of differentially regulated transcripts between rats of different forced abstinence length and housing environment, as well as within specific contrasts such as enrichment (isolated 21 days vs. enriched 21 days) or incubation (isolated 1 day vs. isolated 21 days). Ingenuity Pathway Analysis affirmed several pathways as differentially enriched based on housing condition and forced abstinence length including RELN, the Eif2 signaling pathway, synaptogenesis and neurogenesis pathways. Numerous pathways showed upregulation with incubation, but downregulation with EE, suggesting that EE may prevent or reverse changes in gene expression associated with protracted forced abstinence. The findings reveal novel candidate mechanisms involved in the protective effects of EE against cocaine seeking, which may inform efforts to develop pharmacological and gene therapies for treating cocaine use disorders. Furthermore, the finding that EE opposes multiple pathway changes associated with incubation of cocaine seeking strongly supports EE as a therapeutic intervention and suggests EE is capable of preventing or reversing the widespread dysregulation of signaling pathways that occurs during cocaine forced abstinence.
Subject terms: Reward, Operant learning, Addiction
Introduction
Cocaine use disorders (CUDs) are a persistent, costly epidemic within the United States as evidenced by increased numbers of new cocaine users and cocaine-related overdose in the latter half of the 2010s1. Attempts to curtail illicit drug use with public policies2, law enforcement3 and incarceration4 have had little success at reducing CUDs. Meanwhile, extensive preclinical5 and clinical6 research toward developing pharmacological treatments has also had limited success. Unfortunately, with the onset of the opioid crisis in the United States, there has been a parallel increase in cocaine-related deaths7, highlighting the need to find novel targets for treatment development.
Insight into novel targets may be gained from examining transcriptomic changes in rodent models that manipulate the degree of motivation for drugs. For instance, motivation for drug is affected by length of forced abstinence. In humans, after a cocaine binge there is initially little if any craving for drug; however, craving emerges within hours to days of abstinence and is often triggered by exposure to drug-associated cues7. In parallel, we found that cocaine-seeking behavior elicited by drug-associated cues in rats becomes increasingly stronger over 3–4 weeks of forced abstinence8,9. Grimm et al.11 coined the term “incubation” to describe this effect and found that it persists for up to 2 months of forced abstinence10. Mechanisms contributing to the incubation effect include plasticity within brain regions involved in reward learning and memory, which play a critical role in the development of CUDs8,9, 11–15.
Environmental enrichment (EE) is another robust manipulation for reducing motivation to seek and take drugs in rodents as demonstrated for psychostimulants16–19, heroin20, and nicotine21–26. EE typically involves housing animals with social companions along with the opportunity for exercise and exploration of novel items. At the opposite end of the spectrum of housing conditions is isolation, which typically enhances motivation for drug. Compared to standard group housing for instance, isolation enhances cocaine self-administration27, whereas EE reduces cocaine-induced hyperactivity28–30. Housing conditions contribute to individual differences in cocaine self-administration, exemplified by Puhl et al.,31 who found that 96% of rats living in EE qualified as “low drug-takers” compared to 75% of rats living in isolation. Furthermore, EE given as an intervention during forced abstinence from cocaine self-administration reduces cue reinstatement of operant cocaine-seeking behavior compared to both group and isolation housing32,33.
Previous research using RNA-seq to examine transcriptomic changes related to the protective effects of EE on reducing cocaine intake in rats during self-administration identified novel pathways that had not been previously implicated in the drug abuse literature34,35, including the retinoic acid pathway. However, transcriptomic changes related to the protective effects of EE as an intervention during forced abstinence to reduce motivation to seek cocaine have not been investigated. The present study aimed to address this question by using RNA-seq in the nucleus accumbens shell (NAcsh) of male rats to examine transcriptomic differences associated with varying degrees of cocaine-seeking behavior. We focused on the NAcsh because this striatal region is critically involved with motivation to seek cocaine36,37 and shows correlations between changes in addiction-related genes and cocaine-seeking behavior38–40. We manipulated motivation levels utilizing isolation and EE housing conditions during forced abstinence for either 1 or 21 days. We expected variation in cocaine-seeking behavior across groups during a test for cue reactivity, with 21 days of forced abstinence in isolation resulting in robust cocaine seeking and brief forced abstinence in EE resulting in the least cocaine seeking.
Results
Self-administration and cue reactivity
Following a minimum of 21, 2-h sessions of cocaine self-administration (0.75 mg/kg, IV per infusion), assignment to housing and forced abstinence length conditions was counterbalanced to equate previous consumption and active lever presses (Figure S1) across groups. Rats either remained in isolation (IC) or were placed into EE for either 1 (1D) or 21 days (21D) of forced abstinence (n = 9/housing condition for 1D; n = 15–16/housing condition for 21D), after which all rats underwent a 1-h cue reactivity test. During the test, light/tone cues previously paired with cocaine delivery were presented response-contingently but cocaine was not available (Fig. 1A). A two-factor ANOVA of the number of active lever presses during the test revealed a main effect of forced abstinence length [F1,45 = 12.13, p < 0.05] with rats abstinent for 21 days exhibiting more active lever presses than those abstinent for 1 day. In addition, there was a main effect of housing [F1,45 = 6.67, p < 0.05] with IC rats exhibiting more active lever presses than EE rats. There was no housing × forced abstinence length interaction; however, pairwise comparisons using Bonferroni-corrected t-tests revealed that in animals abstinent for 21 days, cue reactivity was greater when they were housed in isolation (IC21D) than when housed in enrichment (EE21D) [t30 = 3.60, p < 0.0167], whereas there was no difference between housing conditions in animals abstinent for only 1 day (IC1D vs. EE1D).
RNA-Seq
Following the 1-h cue reactivity test, bilateral micropunches of the NAcsh were pooled from each animal from a subset of animals [N = 12 assigned to one of 4 groups: IC1D, IC21D, EE1D, and EE21D (n = 3/group)] and analyzed for changes in transcript expression. An average of 52 (± 3.3 SEM) million reads were mapped per sample. Of the 41,064 transcripts in the ENSEMBL rat database, we consistently detected 27,942 transcripts in our samples using a cutoff of 1 read across all samples. Based on the Wald test statistic, 135 transcripts were differentially regulated between abstinence lengths regardless of housing and 150 transcripts were differentially regulated between the housing conditions during abstinence prior to testing regardless of abstinence length (Fig. 1B). Among the 285 total transcripts differentially regulated by these factors, 75 were shared between housing conditions and forced abstinence length (Fig. 1C, D). Among the transcripts regulated between forced abstinence lengths (1 vs. 21 days ignoring housing; n = 6/condition), more were downregulated than upregulated, whereas the opposite pattern was observed among those regulated between housing conditions (Isolation vs. EE ignoring abstinence length; n = 6/condition). Using the contrast function of ‘DESeq2′ in R, the number of differentially expressed transcripts in the isolation vs. enrichment groups following 21 days of forced abstinence were quantified; this contrast focused on enrichment as an intervention (Fig. 1B, Enrichment contrast; IC21D vs. EE21D; n = 3/group). We also quantified the number of differentially expressed transcripts in the 1 vs. 21 days of forced abstinence groups that remained isolated; this contrast focused on the incubation of motivation for cocaine across time during abstinence (Fig. 1B, Incubation contrast; IC1D vs. IC21D; n = 3/group). 185 transcripts were differentially regulated in the Enrichment contrast and 218 were differentially regulated in the Incubation contrast. Among these 403 differentially-expressed (DE) transcripts, 99 were shared among Enrichment and Incubation (Fig. 1E). Among the transcripts differentially regulated within the Enrichment contrast, more were downregulated than upregulated, whereas the opposite pattern was observed among those regulated within the Incubation contrast (Fig. 1F).
Forced abstinence effect
Of the 135 transcripts regulated within the forced abstinence contrast (1D vs. 21D), the top 30 up- or down-regulated transcripts by log2 fold change can be seen in Fig. 2A. An additional approach to examining the forced abstinence contrast was to use Ingenuity Pathway Analysis (IPA) to investigate transcripts with p ≤ 0.05 from the DESeq2 analysis described above and the effect of changes in these transcripts in pathway activation or inhibition is shown as positive or negative Z scores, respectively. A total of 693 transcripts met this criterion for the “Forced Abstinence” effect; following removal of duplicate genes by IPA a total of 586 transcripts remained. Selected pathways differentially regulated in forced abstinence are shown in Fig. 2B, with the “threshold” representing the negative log of the alpha-level (0.05) and “ratio” representing the number of differentially expressed transcripts in each canonical pathway vs. total number of transcripts in each category (i.e., a ratio of 0.10 is equivalent to 10% genes in the pathway). The top-ranked canonical pathways included Insulin Receptor Signaling, Reelin Signaling in Neurons, and Synaptogenesis Signaling in Neurons. All output data from IPA analysis of the abstinence effect can be found in the Table S1.
Synaptogenesis signaling in neurons
One significant canonical pathway within the forced abstinence effect, Synaptogenesis Signaling in Neurons, was of particular interest. The differentially regulated molecules within the pathway that are driving this effect (activation Z-score: 1.213) are predicted to be spread across the synaptic cleft. This activation Z-score indicates that the pathway is predicted to have increased activity in animals that experienced prolonged forced abstinence. In the presynaptic bouton, calcium/calmodulin-dependent protein kinase II gamma (Camk2g), adenylate cyclase 6 (Adcy6), synaptotagmin 17 (Syt17), adaptor related protein complex 1 subunit beta 1 (Ap1b1), and heat shock protein family A (Hsp70) member 8 (Hspa8) are all upregulated (Table S1). At the postsynaptic membrane, cadherin 13 (Cdh13) and neuroligin 2 (Nlgn2), both involved with scaffolding of the postsynaptic region, are downregulated. Additionally, the mammalian target of rapamycin kinase mTor (Mtor) is upregulated in abstinence, is part of the Synaptogenesis Signaling in Neurons pathway, and is known to influence synaptic spine development and maturation as well as local protein translation in dendrites41,42.
Other functions and pathways related to forced abstinence
In addition to canonical pathways, IPA predicts upstream regulators of the molecules and expression levels that are input. Among the top upstream regulators, the dopamine precursor levodopa (L-dopa) was predicted to be in an inhibited state (Z-score = − 3.023, p = 3.16E−03; Fig. 2C). Additionally, Reelin signaling in neurons (p = 6.15E−04, ratio = 0.103) was among the top-ranked canonical pathways regulated by forced abstinence length, although reelin (Reln) itself was unchanged due to forced abstinence. Lastly, Figure S2 illustrates a selection of the top Diseases and Functions categories enriched within the forced abstinence effect. Within the regulated Behavior category, subcategories such as Cognition (p = 4.51e−6, z-score: −0.074), Learning (p = 1.39e−6, z-score: − 0.242), and Spatial learning (p = 1.21e−7, z-score: −0.923) are all predicted to have been negatively impacted by prolonged abstinence duration.
Housing effect
From the 150 differentially expressed transcripts due to the housing main effect (IC vs. EE), the top 30 up- or down-regulated transcripts are shown in Fig. 3A. Using the 847 transcripts with p ≤ 0.05 from the DESeq2 analysis, the top-ranked canonical pathways of interest for the housing main effect were Integrin-Linked Kinase (ILK) Signaling (Fig. 3B) (p = 2.96E−03, Z-score: −1.069), GABA Receptor Signaling (p = 5.94E−03; no activity pattern available), and Synaptogenesis Signaling Pathway (p = 6.91E−03; Z-score: −0.229). All output data from IPA analysis of the housing effect can be found in the Table S2.
ILK signaling
The top canonical pathway, ILK Signaling, has a predicted inhibition based on transcript expression results from our RNA-seq analysis. The molecules involved represent approximately 7.9% of the pathway and include integrin subunit beta 4 (Itgb4), Mtor, and several other molecules included in the pathway that recent research has shown to be crucial for the establishment of neuronal polarity43.
Other functions and pathways related to housing
Among the top predicted upstream regulators of the effect of housing, the transcriptional regulator Tcf7l2 targeted 55 molecules with p ≤ 0.05 (Fig. 3C). Within the Diseases and Biological Functions categories (Figure S3), many Nervous System Development and Function categories are predicted to be inhibited, including Migration (p = 1.18E−07, Z-score: − 2.454), Development (p = 1.17E−08, Z-score: − 3.244), Proliferation (p = 6.80E−07, Z-score: − 2.782), Branching (p = 1.64E−04, Z-score: − 2.259), Growth (p = 5.13E−07, Z-score: − 3.442), and others. Furthermore, within the Cell Death and Survival pathway a decrease in Cell viability (p = 6.04E−07, Z-score: − 2.482) and Cell survival (p = 6.96E−07, Z-score: − 2.368) and a concurrent increase in Apoptosis (p = 7.09E−04, Z-score: 2.173) are predicted. These pathways are explored in further detail below in the Incubation and Enrichment contrast results.
Incubation effect
We used the “contrasts” feature of “DESeq2” in R to compare expression data from animals that experienced isolation housing during forced abstinence for 1 or 21 days (IC1D vs. IC21D). The top 30 (of 218 total differentially expressed) up- or down-regulated transcripts can be seen in Fig. 4A. A total of 1,463 transcripts met selection criteria for IPA analysis using a threshold of p ≤ 0.05, with 1,403 transcripts remaining after the removal of variants. A selection of the top canonical pathways for the Incubation effect included CREB Signaling in Neurons (p = 2.27E−05, Z-score: − 2.837), Synaptogenesis Signaling Pathway (p = 1.26E−04, Z-score: − 1.061), and Synaptic Long Term Potentiation (p = 1.17E−03, Z-score: − 2.5). All output data from IPA analysis of the incubation effect can be found in the Table S3.
CREB signaling in neurons
Cyclic-AMP response element binding protein (CREB) Signaling in Neurons, the top canonical pathway for the Incubation effect (Fig. 4B), is led by the significant upregulation of Creb itself in prolonged abstinence. CREB has long been linked to memory, plasticity, neuronal development and survival, and has gained recent attention for its connection to neurological disorders44. Our results indicate that while Creb is upregulated in Incubation, other genes in the pathway including Camk2d/g and RNA polymerase II subunit A (Polr2a) are all downregulated. Combined with the other affected molecules, IPA predicts an inhibition of CREB Signaling in Neurons.
Other functions and pathways related to incubation contrast
In addition to the pathways described above, many other significant pathways showed similar Z-scores indicating inhibited action, including Neuroinflammation Signaling Pathway (p = 5.87E−04; activated Z-score: − 0.577), Calcium Signaling (p = 3.89E−03; Z-score: − 1.5), Synaptic Long Term Depression (p = 5.63E−03; Z-score: − 1.886), Glutamate Receptor Signaling (p = 1.58E−03; Z-score: − 0.447), Opioid Signaling Pathway (p = 9.86E−03; Z-score: − 0.853), and NF-κB Signaling (p = 2.93E−02; Z-score: − 1.5). Conversely, the EIF2 Signaling Pathway that regulates translation initiation was predicted to be activated by prolonged abstinence (p = 1.02E−02; Z-score: 0.535). Among the top upstream regulators, cyclic AMP (cAMP) signaling was predicted to regulate 20 transcripts that show differential expression between durations of abstinence in isolation (Fig. 4C), with three quarters of those transcripts downregulated. The upstream analysis also highlighted the importance of transcription regulation within the incubation effect, as 90 of 542 predicted upstream regulators are classified as “transcription regulator” molecules, the most of any category. Using the Diseases and Functions analysis function of IPA, top-regulated categories include Cellular Assembly and Organization, Cellular Function and Maintenance, Cell Death and Survival, Nervous System Development and Function, and Neurological Disease (Figure S4).
Enrichment effect
The top 30 up- or down-regulated transcripts identified from the “enrichment effect” contrast comparing animals in forced abstinence from cocaine for 21 days in either isolation or enriched housing (IC21D vs. EE21D) can be seen in Fig. 5A. We used IPA with the 1,091 transcripts with a p ≤ 0.05 from the DESeq2 analysis and further trimmed to 1,040 transcripts to remove duplicate transcript variants. A selection of the top canonical pathways (Fig. 5B) includes Wnt/Ca+ Pathway (p = 2.73E−04; Z-score: 0.632), Dendritic Cell Maturation (p = 3.24E−04; Z-score: 2.183), and Synaptogenesis Signaling Pathway (p = 9.38E−04; Z-score: 1.8). All output data from IPA analysis of the enrichment effect can be found in the Table S4.
Eukaryotic initiation factors
Within the analysis of predicted upstream regulators of the enrichment effect one of the top molecules was Eif2ak3 (also known as Pek or Perk), a kinase of the eukaryotic initiation factor 2 alpha (eIF-2-α; Fig. 5C). Within the enrichment data obtained here, activity of Eif2ak3 is predicted to be inhibited, suggesting phosphorylation of eIF-2-α is down when translation and cocaine-seeking are up. However, normalized expression counts from the enrichment comparison indicate that another eIF-2-α kinase, Eif2ak2 (also known as Pkr, Ppp1r83, or Prkr), showed increased expression in EE rats, as does Eif4e2. Thus, overall phosphorylation of Eif signaling is potentially increased in enrichment, which would lead to a reduction in protein translation according to the established mechanisms45.
Other functions and pathways related to the enrichment contrast
In addition to the IPA pathways described above, several other pathways of interest were significantly affected: Glutamate Receptor Signaling (p = 2.76E−03; Z-score: 0.447), CREB Signaling in Neurons (p = 3.44E−03; Z-score: 2.668), Calcium Signaling (p = 3.27E−03; Z-score: 2.309), Synaptic Long Term Potentiation (p = 9.21E−03; Z-score: 2.887), and Neuroinflammation Signaling Pathway (p = 5.07E−03; Z-score: 1.606) (Fig. 5B). Many of these pathways were positively activated with EE compared to isolation, the opposite of that seen with the incubation effect above. Finally, IPA analysis indicates that Diseases and Functions significantly regulated by the Enrichment effect include similar groupings as seen above for the incubation effect, including Nervous System Development and Function, Neurological Disease, Cellular Assembly and Organization, Cellular Function and Maintenance, and Cell Death and Survival, as well as Post-Translational Modification and Protein Synthesis (Figure S5).
RT-qPCR results
To validate the effects seen using RNA-seq, a selection of transcripts from a subset of the rats (21 days of forced abstinence; isolation: n = 6, enrichment: n = 7) was screened using RT-qPCR. RNA-seq results for Camk2d (ENSRNOT00000016026) showed a 9.01-log2 fold increase that was validated as a 1.30-fold increase using RT-qPCR (Figure S6A). One of the Eif4e2 transcript isoforms (ENSRNOT00000026646) showed a log2 fold increase of 7.62 in the RNA-seq analysis that was validated as 1.69-fold increase with RT-qPCR (Figure S6B). It should be noted that RT-qPCR primers were designed from transcript-specific exon sequences. For example, the Eif4e2 transcript chosen (ENSRNOT00000026646) represents 1 of 6 splice variants in the Ensembl Rattus norvegicus library.
Discussion
The present study identified transcriptome differences in male rats with a history of cocaine self-administration that were housed in isolation or in an enriched environment during forced abstinence from cocaine for either 1 or 21 days. As expected from previous research32,33, isolation housing during the 21-day forced abstinence period from cocaine self-administration resulted in robust cocaine-seeking behavior during a cue reactivity test, whereas EE housing, which included social, exercise, and novelty components, blunted cocaine-seeking behavior to levels similar to that observed with only 1 day of forced abstinence (Fig. 1A). A lead hypothesis of the mechanisms underlying the robust effects of EE on cocaine-related behaviors is stress innoculation46. Based on this theory, EE presents mild stress that fine tunes stress reactivity systems such that EE rats are better able to cope with the stress. In the present study, EE rats may better cope with stress associated with the cue reactivity test than rats housed in isolation, thereby reducing incentive to seek cocaine. Another feature of the present experiment that introduces differential stress across groups is the switch in environments in EE rats, but not isolated rats, during forced abstinence. Previous research from our lab employing a similar experimental design and timeline showed no differences in plasma corticosterone levels between enriched and isolated saline-yoked animals47. Furthermore, a decrease in plasma corticosterone levels was observed in enriched rats compared to isolated rats with a history of cocaine self-administration47. These previous findings suggest that EE rats adapt rapidly to potential stress effects of the switch from isolation to EE and suggest that the reduction of cocaine seeking in EE rats may involve stress inoculation.
Given that RNA-seq identifies hundreds of regulated transcripts, it is important to validate findings via other measures of RNA or comparison to previous literature. In this study, the Signaling by Rho Family GTPases pathway was downregulated by 21 days of forced abstinence, similar to the results of a recent RNA-seq study of cocaine self-administration where this pathway was reported as the top-ranked canonical pathway34. Furthermore, this pathway has been shown to be downregulated by experimenter-delivered cocaine administration48. Together, these results suggest that the downregulation of the Rho associated pathway is in part due to cocaine history but potentially amplified by protracted, forced abstinence. Additionally, the retinoic acid receptor activation pathway was differentially regulated by cocaine across the two housing conditions, with upregulation in animals housed in enrichment and downregulation in animals housed in isolation. Similarly, Zhang and colleagues34 previously found significant upregulation of the retinoic acid pathway due to housing in EE prior to cocaine self-administration. In addition, Camk2d and Eif4e2 transcripts were chosen for validation from a cohort of animals that experienced the same cocaine self-administration protocol and 21 days of abstinence in either isolation or enrichment. Both of these transcripts demonstrated fold increases in accordance with the RNA-seq data (Figure S6). These findings together with the consistency of the present RNA-seq data with the previous literature offers validation of our analytical approach.
An exciting result from the RNA-seq analysis is that the robust transcriptomic differences observed with incubation (i.e., 1 vs. 21 days forced abstinence contrast in isolated rats) showed largely opposite changes with enrichment (i.e., EE versus isolation contrast in 21-day forced abstinent rats) within several pathways. Of the 155 regulated pathways in either the incubation or enrichment contrasts, 66 are shared between the two conditions. Furthermore, 49 of those 66 shared pathways show reverse activity levels between incubation and enrichment. For instance, Synaptic Long Term Potentiation has significantly upregulated activity in enrichment but downregulated activity in incubation. Additionally, Synaptogenesis Signaling Pathway has the identical pattern—upregulated activity in enrichment and downregulated in incubation. Additional pathways that exhibit opposing regulation by incubation versus EE include CREB Signaling in Neurons, Neuroinflammation Signaling Pathway, Calcium Signaling, and Glutamate Receptor Signaling, which have been implicated in cocaine-seeking behavior previously49–53. The Opioid Signaling Pathway was also differentially regulated in the incubation contrast, which is a pathway that has received relatively little attention as a mechanism of cocaine-seeking behavior but includes molecules such as Camk2d, Camk2g, Grin2d, Th, and Nfkb1 as contributing toward its significant regulation. The enrichment contrast implicated the Wnt/Ca++ Pathway, Dendritic Cell Maturation, PI3K/AKT Signaling, and Dopamine-DARPP32 Feedback in cAMP Signaling pathways in the blunting effect of EE on cocaine-seeking behavior. Thus, environmental enrichment may prevent or reverse multiple gene network changes that take place during abstinence and that presumably contribute to incentive motivation for cocaine, which manifests as cocaine craving in individuals with CUD and is thought to be a major factor in relapse.
The IPA analysis suggested additional pathways that exhibit differential regulation across abstinence period regardless of housing conditions and across housing conditions regardless of forced abstinence length. The abstinence effects were observed for Huntington’s Disease Signaling and Reelin Signaling in Neurons pathways. The reelin pathway is a key contributor to the development of schizophrenia and other neuropsychiatric disorders such as depression and psychosis54,55, and these psychiatric conditions are often comorbid with substance use disorders56,57. Additionally, the reelin pathway modulates gamma-aminobutyric acid (GABA) transmission and neuroplasticity, two mechanisms thought to be involved in cocaine use disorders58,59. Housing condition effects were observed for ILK Signaling, a pathway known to be linked to cocaine sensitization and structural plasticity60, and Tcf7l2, a transcription factor commonly associated with diabetes but recently linked to nicotine consumption61.
The top pathways exhibiting whole transcriptome changes related to Diseases and Biological Functions highly overlapped between the incubation and EE contrasts, although the changes were in opposite directions. These include nervous system development, neurological disease, and several cellular functions, such as neuronal cell death (increased activity) and proliferation of neuronal cells (increased activity) in the enrichment contrast. By contrast, in the incubation contrast (Isolated 1 day vs. Isolated 21 days), the proliferation of neuronal cells pathway shows significantly reduced activity with prolonged withdrawal as well as a reduction in the neuronal cell death category. Under some experimental manipulations, the ventral striatum acquires new neurons (see review by Gould, 2007). For example, chronic infusion of the dopamine D3 receptor agonist, 7-OH-DPAT, into the subventricular zone leads to increased proliferation of new cells within the striatum of adult female rats63. Furthermore, intracerebroventricular delivery of platelet-derived growth factors and brain-derived neurotrophic factor (BDNF) in adult female rats leads to an increase in the number of newly generated neurons within the striatum64. While little attention has been given to adult neurogenesis within the nucleus accumbens with drugs of abuse, considerable research has shown that cocaine exposure reduces neurogenesis in the adult hippocampus, including in self-administration studies65,66. Interestingly, hippocampal neurogenesis functions have previously been implicated in post-mortem tissues of human cocaine users, with 3 molecules—liprin beta 1 (PPFIBP1), oligophrenin 1 (OPHN1), axotrophin (AXOT)—upregulated by cocaine, and 2 molecules—SH3 and multiple ankyrin repeat domains 2 (SHANK2) and semaphorin 6A (SEMA6A)—downregulated by cocaine67. In contrast, EE increases neurogenesis in the dentate gyrus of adult rats as well as a corresponding improvement in spatial memory in a water maze testing paradigm68. These findings allude to a loss of plasticity within NAcsh circuits involved in incubation, resulting in enhanced expression of the prepotent drug seeking response, and a “reboot” of plasticity by enrichment, which weakens the prepotency of drug seeking behavior.
An interesting overlap between the present study and previous research examining EE effects on cocaine self-administration is the upregulation of transcripts in the eukaryotic initiation factor (EIF) signaling pathway34. Three EIF transcript variants were differentially expressed among our conditions: (1) Eif1b-201 is increased in prolonged forced abstinence; (2) Eif4e2-201 is increased in EE; and, (3) Eif2b2-201 is increased in incubation. Eif2 signaling pathway genes were also upregulated in isolated animals abstinent from cocaine for 21 days compared to 1 day, suggesting increased pathway activation. Zhang et al. (2016) previously observed that the top canonical pathway altered by EE housing prior to cocaine access was Eif2 signaling, which regulates mRNA translation. Recent studies in mice indicate that when expression levels of phosphorylated eIF-2-α, the protein product of Eif2s1, in the ventral tegmental area are reduced through mutation or blocked pharmacologically, vulnerability to nicotine69 and cocaine70 increases. Furthermore, when tobacco smokers express a single nucleotide polymorphism in the orthologous gene that encodes eIF-2-α in humans (which shares > 99% of the sequence with mice and rats), a reduction in reward-induced activity within the caudate and putamen nuclei is observed69. Control of translation by eIF-2-α phosphorylation is critical for regulation of synaptic strength and memory (see review by Costa-Mattioli et al.71). These same processes in the amygdala have been shown to mediate reconsolidation of drug-conditioned place preference memory for morphine and cocaine as well as for heroin-associated cue memories following establishment of self-administration72. Furthermore, Werner et al. (2018) found that eIF-2-α is dephosphorylated when rats experience a test for cocaine-seeking following withdrawal from cocaine and thus translation is increased; however, when they then blocked dephosphorylation of eIF-2-α to restore inhibition of translation, cocaine seeking was reduced73. These findings combined with the effects observed on the Eif2 signaling pathway here highlight the importance of cocaine on translational control within the nucleus accumbens and that EE influences those mechanisms in a restorative manner.
Surprisingly, none of our contrasts included a significant portion of the ERK/MAPK Signaling pathway even though there are converging lines of evidence that this pathway is involved in cocaine-seeking behavior (see reviews 74–76). There are several differences between the previous studies and the present study that may account for this discrepancy, including differences in the location of brain sample47, measures of protein vs. transcript35,77–79, and differences in experimental design regarding the control comparison (saline control or other cocaine-experienced groups)34,35 and when EE was utilized (i.e., prior to self-administration or during abstinence)34,35,77. Other studies of ERK changes with drugs of abuse have focused on the amygdala or hippocampus, two regions known to be crucial for the development and persistence of CUD but not tested here (see reviews 80,81). Additional investigation in these other brain regions of the complex interaction between housing environment and duration of forced abstinence could potentially reveal region-specific differences in the ERK/MAPK Signaling pathway crucial to our understanding of CUD.
In conclusion, EE provided as an intervention during forced abstinence from cocaine self-administration leads to numerous changes in mRNA expression in the NAcsh that impact multiple signaling pathways and neuronal functions, including synaptic and neuronal plasticity as well as neuroinflammation. Additionally, the EE intervention regulates the reelin pathway, similar to previous studies using EE prior to cocaine exposure. Importantly, the present findings suggest two novel pathways—translational control and neurogenesis—within the striatum that are ripe for further exploration using established techniques in drug addiction research. For example, neurogenesis and similar annotations within the Cellular Growth and Proliferation category are downregulated in animals with increased motivation, suggesting that treatments that promote neurogenesis given during forced abstinence may help prevent reinstatement. Additionally, the work discussed here illustrates that environmental enrichment reverses multiple dysregulated pathways that underlie drug seeking behavior, particularly the pathways that switched directions of expression between the incubation (isolated 1 day vs. isolated 21 days) and enrichment (isolated 21 days vs. enriched 21 days) groups. Together, these findings suggest that therapies, either behavioral, genetic, or pharmacologic, that target these pathways may be useful treatments for CUDs.
Methods
Animals
62 male Sprague–Dawley rats (225–250 g on arrival; Charles River Laboratories, Wilmington, Massachusetts USA) were separated into standard, individual housing upon arrival (21.6 × 45.7 × 17.8 cm) with ad libitum access to food and water. Animals were handled daily for 5 days prior to surgery. All procedures were approved by the Institutional Animal Care and Use Committee of Arizona State University and were in accordance with institutional and NIH guidelines.
Surgery
Jugular vein catheters were implanted in all rats as described previously82 under 2–3% isoflurane anesthesia. Rats were given meloxicam (1 mg/kg/ml, SC) and buprenorphine (0.05 mg/kg/ml, SC) analgesics, and cefazolin (30 mg/kg/ml, SC) antibiotic. The free end of the catheter was tunneled under the skin and cemented to the skull using dental acrylic. Post-operational care continued for a minimum of 5 days and included handling and administration of cefazolin (100 mg/kg/ml, IV).
Self-administration
Animals initially were food restricted to 16 g standard chow per day with ad libitum access to water. Rats (n = 62) received 2-h cocaine (0.75 mg/kg/0.1 ml, IV) self-administration sessions 6 days per week at the same time of day. Upon completion of operant schedule on the active lever, the light and tone stimuli were activated followed 1-s later by infusion of cocaine administered over 6-s. An inactive lever was also available and presses were recorded but produced no consequences. A 20-s timeout with a lit house light followed termination of the infusion and compound conditioning stimuli. All rats began self-administration on a fixed-ratio 1 (FR1) schedule with in-session progression to a higher schedule if 7 infusions were achieved within 1-h. Schedule progression went to variable-ratio 2 (VR2), VR3, and VR5. After 3 consecutive sessions ending on VR5, rats started the next session at the next highest schedule (e.g., moving from FR1 to VR2 to start the session). The first day of self-administration was capped at 50 infusions to prevent overdose. After all self-administration sessions, animals were fed an amount to maintain 90% free-feeding body weight, and administered IV cefazolin to ensure patency. As animals progressed from an FR1 to a VR5 schedule, food restriction was gradually removed, with eventual ad libitum access to food upon reaching stability on a VR5 schedule of reinforcement. Training continued on free feeding until rats achieved stability on a VR5 schedule across three consecutive sessions within 15% coefficient of variability for infusions.
Forced abstinence and enrichment
Animals remained in standard isolation housing (21.6 × 45.7 × 17.8 cm) or were transferred to an enriched environment for the duration of forced abstinence. EE housing consisted of 3–6 rats in a (74 × 91 × 36 cm) cage and standard bedding material. Additionally, a running wheel, tubes, toys, and nesting material was provided. Toys were exchanged every 3 days throughout forced abstinence to enhance novelty. Group assignment was counterbalanced for cocaine consumption. All rats were handled every 2 days during abstinence, including rats in isolation. The length of forced abstinence was either 1 or 21 days.
Cue reactivity testing
After forced abstinence concluded, animals were returned to their self-administration chambers for a 1-h cue reactivity test where the previously paired lever light and tone conditioned stimuli were presented for 7-s upon a press of the active lever, but no drug was available. The timeout and house light illumination previously paired with drug infusion were present.
Tissue collection and analysis
Immediately after the cue reactivity test, animals were anesthetized with isoflurane, decapitated, and the brain was removed and flash-frozen in methylbutane before storage in a − 70 °C freezer. Brains were dissected using a brain matrix. Based on anatomical landmarks on the ventral surface of the brain, sections 2 mm thick containing the striatum were taken with guidance from a rat brain atlas83. A 2.0 mm diameter punch (Harris Unicore™) of the NAcsh was then taken. RNA was isolated using standard Trizol® (#15596026; Invitrogen Corp., Carlsbad, California USA) extraction, as performed previously38. Samples were analyzed at the Arizona State University Genomics Core facility. RNA was prepared using the Nugen Ovation RNA-seq system (#7102-32; Tecan Genomics, Inc., Redwood City, California USA). cDNA was quantified using Nanodrop and sheared to approximately 300 base pair fragments. Libraries were generated using the Kapa Biosystem library preparation kit. Fragments were then end repaired and A-tailed. Sequencing was performed on a 1 × 75 flow cell using an Illumina NextSeq500 instrument.
Data analysis
Fastq read files were uploaded to the public server at usegalaxy.org to analyze the data84. Access to the workflow can be found here: https://usegalaxy.org/u/g.powell/w/powell-et-al---environmental-enrichment-rna-seq-workflow. Quality control analysis was performed for each file using FastQC, Galaxy Version 0.6985 and aggregated using MultiQC, Galaxy Version 1.5.086. An average of 58.43 million total reads were obtained per sample (± 3.78 million reads, SEM). Reads were aligned using HISAT2, Galaxy Version 2.1.0, a splice-aware alignment program87, and the Ensembl release 92 Rattus norvegicus reference genome88 with average mapping at 89.28%. Transcript assembly and quantification were performed using StringTie, Galaxy Version 1.3.3.189, and an assembly reference guide acquired from Ensembl. Only alignments that matched reference transcripts were processed. All output files were then merged into a new reference transcript, keeping the original reference annotations from Ensembl, using the Stringtie merge function Galaxy Version 1.3.3 before reassembly and quantification of aligned reads with the new merged reference guide. Differential expression analysis was performed using the DESeq2 package90–92 in R93, with additional contrasts probed using the “contrasts” feature, when necessary.
Ingenuity pathway analysis
Lists of differentially expressed transcripts with a p value ≤ 0.05 from DESeq2 output for each comparison were analyzed using Ingenuity Pathway Analysis (IPA, version 46901286; Qiagen, Hilden, Germany). Expression analysis settings included all available data sources using human, mouse, or rat species and the confidence level for analyses included experimentally observed outcomes and those predicted with high confidence. Measurement values for assigning directionality of expression were set to log fold change.
RT-qPCR. For mRNA analysis, cDNA was prepared with the SuperScript II First-Strand Synthesis system (Thermo Fisher Scientific, Waltham, Massachusetts USA). Quantification was performed using iTaq™ Universal SYBR® Green Supermix (Bio-Rad Laboratories, Hercules, California USA). Primers were designed against selected, splice variant-specific targets using Ensembl transcript sequences and the National Center for Biotechnology Information’s Primer-Blast (Eif4e2 [ENSRNOT00000026646] Forward: GCAGAACATCCCCTGCAGTA, Reverse: GACGGACCATGTGGCTGTAA; Camk2d [ENSRNOT00000016026] Forward: GTTGAAGAAACCGGATGGGG, Reverse: AGCGCCGGGGTAGGAATA) and compared against the housekeeping transcript, Gapdh (Forward: GTGCCAGCCTCGTCTCATAG, Reverse: AAGAGAAGGCAGCCCTGGTA). Relative expression for each transcript was determined using the 2-ΔΔCt method94, modified according to Pfaffl (2001) to incorporate real-time PCR efficiency for each gene target. With each test, a no reverse transcriptase (RT) reaction was included to act as a negative control; zero no-RT controls. Samples were run in triplicate for each transcript.
Statistical analysis
Analysis of lever presses and cocaine infusions was performed using ANOVAs in SPSS 25 (IBM Corp., Armonk, New York USA) and Prism 8.0 (Graphpad Software, San Diego, California USA). Significance for behavioral analysis was set at 0.05. All significant results have been reported here.
Data availability
All RNA-seq data have been deposited into the Gene Expression Omnibus with accession number GSE144606.
Supplementary information
Acknowledgements
We thank Jason Steel and Dr. Shanshan Yang for performing next generation RNA sequencing and initial bioinformatics analyses. Additionally, we thank Dr. Jason Newbern and Michael C. Holter for their technical advice. We also acknowledge Madeleine St. Peter, Trisha Chaudhury, Aracely Esquer, and Ayleen Mokbel for their assistance performing self-administration experiments, as well as Taleen Der-Ghazarian, Raul Garcia, Samantha Scott, and John Paul Bonadonna for their assistance with catheter implantation surgeries. This work was supported by NIH NIDA R01 DA034097 [to JLN and NIPB] and NIH NIGMS R35 GM124827 [to MAW].
Author contributions
G.L.P. contributed to study design, conceptualization, data collection and analysis, as well as manuscript preparation and editing. AV contributed to data collection and analysis and manuscript edits. R.M.B. contributed to study design, data analysis, and manuscript editing. M.D. and M.A.W. helped with data analysis and editing of the manuscript. N.I.P.B. and J.L.N. contributed to study design, conceptualization, analysis, and editing of the manuscript. N.I.P.B. and J.L.N. share equal senior author role. All authors read and approved the submitted manuscript.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors jointly supervised this work: Nora I. Perrone-Bizzozero and Janet L. Neisewander.
Supplementary information
is available for this paper at 10.1038/s41598-020-67966-8.
References
- 1.United States Department of Justice, Drug Enforcement Agency. National Drug Threat Assessment (2018).
- 2.John, A. A Timeline of the Rise and Fall of ‘Tough on Crime’ Drug Sentencing. The Atlantichttps://www.theatlantic.com/politics/archive/2014/04/a-timeline-of-the-rise-and-fall-of-tough-on-crime-drug-sentencing/360983/ (2014).
- 3.Werb D, et al. Effect of drug law enforcement on drug market violence: a systematic review. Int. J. Drug Policy. 2011;22:87–94. doi: 10.1016/j.drugpo.2011.02.002. [DOI] [PubMed] [Google Scholar]
- 4.United States Sentencing Commission. Cocaine and Federal Sentencing Policy. 202 (2007).
- 5.Koob GF, Volkow ND. Neurobiology of addiction: a neurcircuitry analysis. Lancet Psychiatry. 2016;3:760–773. doi: 10.1016/S2215-0366(16)00104-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Kim JH, Lawrence AJ. Drugs currently in Phase II clinical trials for cocaine addiction. Expert Opin. Investig. Drugs. 2014;23:1105–1122. doi: 10.1517/13543784.2014.915312. [DOI] [PubMed] [Google Scholar]
- 7.Gawin FH, Kleber HD. Abstinence symptomatology and psychiatric diagnosis in cocaine abusers: clinical observations. Arch. Gen. Psychiatry. 1986;43:107–113. doi: 10.1001/archpsyc.1986.01800020013003. [DOI] [PubMed] [Google Scholar]
- 8.Tran-Nguyen LTL, et al. Time-dependent changes in cocaine-seeking behavior and extracellular dopamine levels in the amygdala during cocaine withdrawal. Neuropsychopharmacology. 1998;19:48–59. doi: 10.1016/S0893-133X(97)00205-4. [DOI] [PubMed] [Google Scholar]
- 9.Neisewander JL, et al. Fos protein expression and cocaine-seeking behavior in rats after exposure to a cocaine self-administration environment. J. Neurosci. Off. J. Soc. Neurosci. 2000;20:798–805. doi: 10.1523/JNEUROSCI.20-02-00798.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Grimm JW, Hope BT, Wise RA, Shaham Y. Incubation of cocaine craving after withdrawal. Nature. 2001;412:141–142. doi: 10.1038/35084134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Conrad KL, et al. Formation of accumbens GluR2-lacking AMPA receptors mediates incubation of cocaine craving. Nature. 2008;454:118–121. doi: 10.1038/nature06995. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Koya E, et al. Role of ventral medial prefrontal cortex in incubation of cocaine craving. Neuropharmacology. 2009;56:177–185. doi: 10.1016/j.neuropharm.2008.04.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Lee BR, et al. Maturation of silent synapses in amygdala-accumbens projection contributes to incubation of cocaine craving. Nat. Neurosci. 2013;16:1644–1651. doi: 10.1038/nn.3533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Lu L, et al. Role of ventral tegmental area glial cell line-derived neurotrophic factor in incubation of cocaine craving. Biol. Psychiatry. 2009;66:137–145. doi: 10.1016/j.biopsych.2009.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Ma Y-Y, et al. Bidirectional modulation of incubation of cocaine craving by silent synapse-based remodeling of prefrontal cortex to accumbens projections. Neuron. 2014;83:1453–1467. doi: 10.1016/j.neuron.2014.08.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Bardo MT, Klebaur JE, Valone JM, Deaton C. Environmental enrichment decreases intravenous self-administration of amphetamine in female and male rats. Psychopharmacology. 2001;155:278–284. doi: 10.1007/s002130100720. [DOI] [PubMed] [Google Scholar]
- 17.Bardo MT, et al. Environmental enrichment attenuates locomotor sensitization, but not in vitro dopamine release, induced by amphetamine. Pharmacol. Biochem. Behav. 1995;51:397–405. doi: 10.1016/0091-3057(94)00413-d. [DOI] [PubMed] [Google Scholar]
- 18.Green TA, et al. Environmental enrichment produces a behavioral phenotype mediated by low cyclic adenosine monophosphate response element binding (CREB) activity in the nucleus accumbens. Biol. Psychiatry. 2010;67:28–35. doi: 10.1016/j.biopsych.2009.06.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Green TA, Gehrke BJ, Bardo MT. Environmental enrichment decreases intravenous amphetamine self-administration in rats: Dose-response functions for fixed- and progressive-ratio schedules. Psychopharmacology. 2002;162:373–378. doi: 10.1007/s00213-002-1134-y. [DOI] [PubMed] [Google Scholar]
- 20.El Rawas R, Thiriet N, Lardeux V, Jaber M, Solinas M. Environmental enrichment decreases the rewarding but not the activating effects of heroin. Psychopharmacology. 2009;203:561–570. doi: 10.1007/s00213-008-1402-6. [DOI] [PubMed] [Google Scholar]
- 21.Gomez AM, Sun W-L, Midde NM, Harrod SB, Zhu J. Effects of environmental enrichment on ERK1/2 phosphorylation in the rat prefrontal cortex following nicotine-induced sensitization or nicotine self-administration. Eur. J. Neurosci. 2015;41:109–119. doi: 10.1111/ejn.12758. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Green TA, Cain ME, Thompson M, Bardo MT. Environmental enrichment decreases nicotine-induced hyperactivity in rats. Psychopharmacology. 2003;170:235–241. doi: 10.1007/s00213-003-1538-3. [DOI] [PubMed] [Google Scholar]
- 23.Hamilton DA, Kolb B. Differential effects of nicotine and complex housing on subsequent experience-dependent structural plasticity in the nucleus accumbens. Behav. Neurosci. 2005;119:355–365. doi: 10.1037/0735-7044.119.2.355. [DOI] [PubMed] [Google Scholar]
- 24.Hamilton KR, Elliott BM, Berger SS, Grunberg NE. Environmental enrichment attenuates nicotine behavioral sensitization in male and female rats. Exp. Clin. Psychopharmacol. 2014;22:356–363. doi: 10.1037/a0037205. [DOI] [PubMed] [Google Scholar]
- 25.Powell GL, et al. Economic demand analysis of within-session dose-reduction during nicotine self-administration. Drug Alcohol Depend. 2019;201:188–196. doi: 10.1016/j.drugalcdep.2019.03.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Venebra-Muñoz A, et al. Enriched environment attenuates nicotine self-administration and induces changes in ΔFosB expression in the rat prefrontal cortex and nucleus accumbens. NeuroReport. 2014;25:688. doi: 10.1097/WNR.0000000000000157. [DOI] [PubMed] [Google Scholar]
- 27.Howes SR, Dalley JW, Morrison CH, Robbins TW, Everitt BJ. Leftward shift in the acquisition of cocaine self-administration in isolation-reared rats: Relationship to extracellular levels of dopamine, serotonin and glutamate in the nucleus accumbens and amygdala-striatal FOS expression. Psychopharmacology. 2000;151:55–63. doi: 10.1007/s002130000451. [DOI] [PubMed] [Google Scholar]
- 28.Bezard E, et al. Enriched environment confers resistance to 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine and cocaine: involvement of dopamine transporter and trophic factors. J. Neurosci. 2003;23:10999–11007. doi: 10.1523/JNEUROSCI.23-35-10999.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Solinas M, Thiriet N, El Rawas R, Lardeux V, Jaber M. Environmental enrichment during early stages of life reduces the behavioral, neurochemical, and molecular effects of cocaine. Neuropsychopharmacology. 2009;34:1102. doi: 10.1038/npp.2008.51. [DOI] [PubMed] [Google Scholar]
- 30.Chauvet C, Lardeux V, Jaber M, Solinas M. Brain regions associated with the reversal of cocaine conditioned place preference by environmental enrichment. Neuroscience. 2011;184:88–96. doi: 10.1016/j.neuroscience.2011.03.068. [DOI] [PubMed] [Google Scholar]
- 31.Puhl MD, Blum JS, Acosta-Torres S, Grigson PS. Environmental enrichment protects against the acquisition of cocaine self-administration in adult male rats, but does not eliminate avoidance of a drug-associated saccharin cue. Behav. Pharmacol. 2012;23:43–53. doi: 10.1097/FBP.0b013e32834eb060. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Chauvet C, Lardeux V, Goldberg SR, Jaber M, Solinas M. Environmental enrichment reduces cocaine seeking and reinstatement induced by cues and stress but not by cocaine. Neuropsychopharmacology. 2009;34:2767–2778. doi: 10.1038/npp.2009.127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Thiel KJ, Sanabria F, Pentkowski NS, Neisewander JL. Anti-craving effects of environmental enrichment. Int. J. Neuropsychopharmacol. 2009;12:1151–1156. doi: 10.1017/S1461145709990472. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Zhang Y, et al. Transcriptomics of environmental enrichment reveals a role for retinoic acid signaling in addiction. Front. Mol. Neurosci. 2016;9:119–119. doi: 10.3389/fnmol.2016.00119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Zhang Y, et al. Convergent transcriptomics and proteomics of environmental enrichment and cocaine identifies novel therapeutic strategies for addiction. Neuroscience. 2016;339:254–266. doi: 10.1016/j.neuroscience.2016.09.051. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Ito R, Robbins TW, Everitt BJ. Differential control over cocaine-seeking behavior by nucleus accumbens core and shell. Nat. Neurosci. 2004;7:389–397. doi: 10.1038/nn1217. [DOI] [PubMed] [Google Scholar]
- 37.Yager LM, Garcia AF, Wunsch AM, Ferguson SM. The ins and outs of the striatum: role in drug addiction. Neuroscience. 2015;301:529–541. doi: 10.1016/j.neuroscience.2015.06.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Bastle RM, et al. In silico identification and in vivo validation of miR-495 as a novel regulator of motivation for cocaine that targets multiple addiction-related networks in the nucleus accumbens. Mol. Psychiatry. 2018;23:434–443. doi: 10.1038/mp.2016.238. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Graham DL, et al. Dynamic BDNF activity in nucleus accumbens with cocaine use increases self-administration and relapse. Nat. Neurosci. 2007;10:1029–1037. doi: 10.1038/nn1929. [DOI] [PubMed] [Google Scholar]
- 40.Larson EB, et al. Overexpression of CREB in the nucleus accumbens shell increases cocaine reinforcement in self-administering rats. J. Neurosci. 2011;31:16447–16457. doi: 10.1523/JNEUROSCI.3070-11.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Raab-Graham KF, Haddick PCG, Jan YN, Jan LY. Activity- and mTOR-dependent suppression of Kv1.1 channel mRNA translation in dendrites. Science. 2006;314:144–148. doi: 10.1126/science.1131693. [DOI] [PubMed] [Google Scholar]
- 42.Sosanya NM, et al. Degradation of high affinity HuD targets releases Kv1.1 mRNA from miR-129 repression by mTORC1. J. Cell Biol. 2013;202:53–69. doi: 10.1083/jcb.201212089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Guo W, Jiang H, Gray V, Dedhar S, Rao Y. Role of the integrin-linked kinase (ILK) in determining neuronal polarity. Dev. Biol. 2007;306:457–468. doi: 10.1016/j.ydbio.2007.03.019. [DOI] [PubMed] [Google Scholar]
- 44.Sakamoto K, Karelina K, Obrietan K. CREB: a multifaceted regulator of neuronal plasticity and protection. J. Neurochem. 2011;116:1–9. doi: 10.1111/j.1471-4159.2010.07080.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Donnelly N, Gorman AM, Gupta S, Samali A. The eIF2α kinases: their structures and functions. Cell. Mol. Life Sci. 2013;70:3493–3511. doi: 10.1007/s00018-012-1252-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Crofton EJ, Zhang Y, Green TA. Inoculation stress hypothesis of environmental enrichment. Neurosci. Biobehav. Rev. 2015;49:19–31. doi: 10.1016/j.neubiorev.2014.11.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Thiel KJ, et al. Environmental enrichment counters cocaine abstinence-induced stress and brain reactivity to cocaine cues but fails to prevent the incubation effect. Addict. Biol. 2012;17:365–377. doi: 10.1111/j.1369-1600.2011.00358.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Kim WY, Shin SR, Kim S, Jeon S, Kim J-H. Cocaine regulates ezrin–radixin–moesin proteins and RhoA signaling in the nucleus accumbens. Neuroscience. 2009;163:501–505. doi: 10.1016/j.neuroscience.2009.06.067. [DOI] [PubMed] [Google Scholar]
- 49.Cui C, Shurtleff D, Harris RA. Chapter one—neuroimmune mechanisms of alcohol and drug addiction. In: Cui C, Shurtleff D, Harris RA, editors. International Review of Neurobiology. New York: Academic Press; 2014. pp. 1–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Kalivas PW. The glutamate homeostasis hypothesis of addiction. Nat. Rev. Neurosci. 2009;10:561–572. doi: 10.1038/nrn2515. [DOI] [PubMed] [Google Scholar]
- 51.Li C-Y, Mao X, Wei L. Genes and (common) pathways underlying drug addiction. PLOS Comput. Biol. 2008;4:e2. doi: 10.1371/journal.pcbi.0040002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Muschamp JW, Carlezon WA. Roles of nucleus accumbens CREB and dynorphin in dysregulation of motivation. Cold Spring Harb. Perspect. Med. 2013;3:a012005. doi: 10.1101/cshperspect.a012005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Zhou Z, Enoch M-A, Goldman D. Chapter ten—gene expression in the addicted brain. In: Hitzemann R, Mcweeney S, editors. International Review of Neurobiology. Cambridge: Academic Press; 2014. pp. 251–273. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Costa E, et al. Dendritic Spine Hypoplasticity and downregulation of reelin and GABAergic tone in schizophrenia vulnerability. Neurobiol. Dis. 2001;8:723–742. doi: 10.1006/nbdi.2001.0436. [DOI] [PubMed] [Google Scholar]
- 55.Fatemi SH. Reelin, a marker of stress resilience in depression and psychosis. Neuropsychopharmacology. 2011;36:2371–2372. doi: 10.1038/npp.2011.169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Fatemi SH. Reelin glycoprotein: structure, biology and roles in health and disease. Mol. Psychiatry. 2005;10:251–257. doi: 10.1038/sj.mp.4001613. [DOI] [PubMed] [Google Scholar]
- 57.Impagnatiello F, et al. A decrease of reelin expression as a putative vulnerability factor in schizophrenia. Proc. Natl. Acad. Sci. 1998;95:15718–15723. doi: 10.1073/pnas.95.26.15718. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Levenson JM, Qiu S, Weeber EJ. The role of reelin in adult synaptic function and the genetic and epigenetic regulation of the reelin gene. Biochim. Biophys. Acta BBA Gene Regul. Mech. 2008;1779:422–431. doi: 10.1016/j.bbagrm.2008.01.001. [DOI] [PubMed] [Google Scholar]
- 59.Kalivas PW. Neurobiology of cocaine addiction: implications for new pharmacotherapy. Am. J. Addict. 2007;16:71–78. doi: 10.1080/10550490601184142. [DOI] [PubMed] [Google Scholar]
- 60.Chen Q, et al. Neural plasticity and addiction: integrin-linked kinase and cocaine behavioral sensitization. J. Neurochem. 2008;107:679–689. doi: 10.1111/j.1471-4159.2008.05619.x. [DOI] [PubMed] [Google Scholar]
- 61.Duncan A, et al. Habenular TCF7L2 links nicotine addiction to diabetes. Nature. 2019;574:372–377. doi: 10.1038/s41586-019-1653-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Gould E. How widespread is adult neurogenesis in mammals? Nat. Rev. Neurosci. 2007;8:481–488. doi: 10.1038/nrn2147. [DOI] [PubMed] [Google Scholar]
- 63.van Kampen JM, Hagg T, Robertson HA. Induction of neurogenesis in the adult rat subventricular zone and neostriatum following dopamine D3 receptor stimulation. Eur. J. Neurosci. 2004;19:2377–2387. doi: 10.1111/j.0953-816X.2004.03342.x. [DOI] [PubMed] [Google Scholar]
- 64.Mohapel P, Frielingsdorf H, Häggblad J, Zachrisson O, Brundin P. Platelet-derived growth factor (PDGF-BB) and brain-derived neurotrophic factor (BDNF) induce striatal neurogenesis in adult rats with 6-hydroxydopamine lesions. Neuroscience. 2005;132:767–776. doi: 10.1016/j.neuroscience.2004.11.056. [DOI] [PubMed] [Google Scholar]
- 65.Noonan MA, Choi KH, Self DW, Eisch AJ. Withdrawal from cocaine self-administration normalizes deficits in proliferation and enhances maturity of adult-generated hippocampal neurons. J. Neurosci. 2008;28:2516–2526. doi: 10.1523/JNEUROSCI.4661-07.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Sudai E, et al. High cocaine dosage decreases neurogenesis in the hippocampus and impairs working memory. Addict. Biol. 2011;16:251–260. doi: 10.1111/j.1369-1600.2010.00241.x. [DOI] [PubMed] [Google Scholar]
- 67.Mash DC, et al. Gene expression in human hippocampus from cocaine abusers identifies genes which regulate extracellular matrix remodeling. PLoS ONE. 2007;2:e1187. doi: 10.1371/journal.pone.0001187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Nilsson M, Perfilieva E, Johansson U, Orwar O, Eriksson PS. Enriched environment increases neurogenesis in the adult rat dentate gyrus and improves spatial memory. J. Neurobiol. 1999;39:569–578. doi: 10.1002/(sici)1097-4695(19990615)39:4<569::aid-neu10>3.0.co;2-f. [DOI] [PubMed] [Google Scholar]
- 69.Placzek AN, et al. Translational control of nicotine-evoked synaptic potentiation in mice and neuronal responses in human smokers by eIF2α. eLife. 2016;5:e12056. doi: 10.7554/eLife.12056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Huang W, et al. Translational control by eIF2α phosphorylation regulates vulnerability to the synaptic and behavioral effects of cocaine. eLife. 2016;5:e12052. doi: 10.7554/eLife.12052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Costa-Mattioli M, Sossin WS, Klann E, Sonenberg N. Translational control of long-lasting synaptic plasticity and memory. Neuron. 2009;61:10–26. doi: 10.1016/j.neuron.2008.10.055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Jian M, et al. eIF2α dephosphorylation in basolateral amygdala mediates reconsolidation of drug memory. J. Neurosci. 2014;34:10010–10021. doi: 10.1523/JNEUROSCI.0934-14.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Werner CT, Stefanik MT, Milovanovic M, Caccamise A, Wolf ME. Protein translation in the nucleus accumbens is dysregulated during cocaine withdrawal and required for expression of incubation of cocaine craving. J. Neurosci. 2018;24:12–17. doi: 10.1523/JNEUROSCI.2412-17.2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Zhai H, Li Y, Wang X, Lu L. Drug-induced alterations in the extracellular signal-regulated kinase (ERK) signalling pathway: implications for reinforcement and reinstatement. Cell. Mol. Neurobiol. 2008;28:157–172. doi: 10.1007/s10571-007-9240-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Sun W-L, Quizon PM, Zhu J. Chapter one—molecular mechanism: ERK signaling, drug addiction, and behavioral effects. In: Rahman S, editor. Progress in Molecular Biology and Translational Science. Cambridge: Academic Press; 2016. pp. 1–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Lu L, Koya E, Zhai H, Hope BT, Shaham Y. Role of ERK in cocaine addiction. Trends Neurosci. 2006;29:695–703. doi: 10.1016/j.tins.2006.10.005. [DOI] [PubMed] [Google Scholar]
- 77.Lichti CF, et al. Environmental enrichment alters protein expression as well as the proteomic response to cocaine in rat nucleus accumbens. Front. Behav. Neurosci. 2014;8:246. doi: 10.3389/fnbeh.2014.00246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Fan X, Li D, Zhang Y, Green TA. Differential phosphoproteome regulation of nucleus accumbens in environmentally enriched and isolated rats in response to acute stress. PLoS ONE. 2013;8:e79893. doi: 10.1371/journal.pone.0079893. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Fan X, Li D, Lichti CF, Green TA. Dynamic proteomics of nucleus accumbens in response to acute psychological stress in environmentally enriched and isolated rats. PLoS ONE. 2013;8:e73689. doi: 10.1371/journal.pone.0073689. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Goodman J, Packard MG. Memory systems and the addicted brain. Front. Psychiatry. 2016;7:24. doi: 10.3389/fpsyt.2016.00024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Gajewski PA, Eagle AL, Robison AJ. Chapter 26—the role of the hippocampus in cocaine responses. In: Preedy VR, editor. The Neuroscience of Cocaine. Cambridge: Academic Press; 2017. pp. 259–268. [Google Scholar]
- 82.Kufahl PR, et al. c-Fos expression associated with reinstatement of cocaine-seeking behavior by response-contingent conditioned cues. Synapse. 2009;63:823–835. doi: 10.1002/syn.20666. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Paxinos G, Watson C. The Rat Brain in Stereotaxic Coordinates. 6. Cambridge: Academic Press; 2007. pp. 547–612. [Google Scholar]
- 84.Afgan E, et al. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Res. 2016;44:W3–W10. doi: 10.1093/nar/gkw343. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Andrews, S. FastQC: a quality control tool for high throughput sequence data. (2010).
- 86.Ewels P, Magnusson M, Lundin S, Käller M. MultiQC: summarize analysis results for multiple tools and samples in a single report. Bioinformatics. 2016;32:3047–3048. doi: 10.1093/bioinformatics/btw354. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Kim D, Langmead B, Salzberg SL. HISAT: a fast spliced aligner with low memory requirements. Nat. Methods. 2015;12:357–360. doi: 10.1038/nmeth.3317. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Zerbino DR, et al. Ensembl 2018. Nucleic Acids Res. 2017;46:D754–D761. doi: 10.1093/nar/gkx1098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Pertea M, et al. StringTie enables improved reconstruction of a transcriptome from RNA-seq reads. Nat. Biotechnol. 2015;33:290–295. doi: 10.1038/nbt.3122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15:1–21. doi: 10.1186/s13059-014-0550-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Love, M., Anders, S. & Huber, W. DESeq2: differential gene expression analysis based on the negative binomial distribution (2017).
- 92.Love, M. I., Anders, S., Kim, V. & Huber, W. RNA-Seq workflow: gene-level exploratory analysis and differential expression [version 1; referees: 2 approved ] Referee Status: 1070, 1–41 (2015). [DOI] [PMC free article] [PubMed]
- 93.R Core Team . R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing; 2018. [Google Scholar]
- 94.Schmittgen TD, Livak KJ. Analyzing real-time PCR data by the comparative C T method. Nat. Protoc. 2008;3:1101. doi: 10.1038/nprot.2008.73. [DOI] [PubMed] [Google Scholar]
- 95.Pfaffl MW. A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001;29:e45–e45. doi: 10.1093/nar/29.9.e45. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All RNA-seq data have been deposited into the Gene Expression Omnibus with accession number GSE144606.