Changes in microRNA expression profile in hippocampus during the acquisition and extinction of cocaine-induced conditioned place preference in rats
© Chen et al.; licensee BioMed Central Ltd. 2013
Received: 18 October 2013
Accepted: 16 December 2013
Published: 20 December 2013
MicroRNA (miRNA) emerges as important player in drug abuse. Yet, their expression profile in neurological disorder of cocaine abuse has not been well characterized. Here, we explored the changes of miRNA expression in rat hippocampus following repeated cocaine exposure and subsequent abstinence from cocaine treatment.
Conditioned place preference (CPP) procedure was used to assess the acquisition and extinction of cocaine-seeking behavior in rats. MiRNA microarray was performed to examine miRNAs levels in rat hippocampus. Quantitative RT-PCR was conducted to further confirm results in microarray study. Finally, bioinformatic predictions were made to suggest potential target genes of cocaine-responsive miRNA in this study. MiRNA array found that 34 miRNA levels were changed in rat hippocampus while acquiring cocaine CPP and 42 miRNAs levels were altered after the cocaine-induced CPP were extinguished, as compared to normal controls. The findings from qRT-PCR study support results from microarray analysis.
The current study demonstrated dynamic changes in miRNA expression in rat hippocampus during the acquisition and extinction of cocaine-induced CPP. Some miRNAs which have been previously reported to be involved in brain disorders and drug abuse, including miR-133b, miR-134, miR-181c, miR-191, miR-22, miR-26b, miR-382, miR-409-3p and miR-504, were found to be changed in their expression following repeated cocaine exposure and subsequent abstinence from cocaine treatment. These findings may extend our understanding of the regulatory network underlying cocaine abuse and may provide new targets for the future treatment of drug abuse.
KeywordsCocaine Hippocampus microRNA Microarray Conditioned place preference
Drug induces changes of gene expression in the brain, which are thought to contribute to drug addictive behaviors, such as loss of control over drug intake and seeking [1–3]. Lots of genes have been identified to play important roles in the development of cocaine addiction [4, 5]. Notably, many of these genes exert their regulatory functions on cocaine abuse by forming a complex regulatory network. Yet, we still have not gained a full picture about this regulatory network, and the “master regulator” in the process of cocaine addiction remains to be identified.
MicroRNAs (miRNAs) are small, endogenous non-protein coding RNA molecules that regulate gene expression at the post-transcriptional level by interacting with target message RNAs (mRNAs) . Recent studies have investigated the roles of miRNAs in biochemical, molecular and behavioral responses to cocaine. For example, miR-181, miR-124 and let-7d are suggested to be involved in cocaine-induced nervous plasticity and cocaine-induced conditioned place preference (CPP) [7, 8]. Knockdown or over-expression of miR-212 levels in striatum is able to change cocaine intake behavior [9, 10]. Deficiency of argonaute 2 (Ago2), a regulator site for miRNA-mediated gene silencing, in dopamine receptor 2-expressed neurons significantly reduces the motivation of cocaine intake in mice . All these studies indicate that miRNAs may play important roles in the development of cocaine abuse. Notably, one miRNA is capable of regulating hundreds of mRNAs. On the other hand, mRNA level of a single gene might be controlled by different miRNAs . Thus, miRNAs may be considered as “master regulators” or “bridge regulators” of gene expression.
Addiction-related abnormal memory is an important mechanism for compulsive cocaine-seeking and relapse behaviors . Hippocampus, due to its key role in memory, has been suggested to be the key brain region involved in cocaine-seeking behavior . Conditioned place preference (CPP) paradigm has been widely used to study the reward-related and drug contextual-associated memory of addictive drugs. For example, disruption of the hippocampal neural activity inhibits cocaine CPP , suggesting that hippocampus play an important role in cocaine CPP. Most of mechanisms related to drug addiction in hippocampus, such as synaptic modulation, glutamate receptors, neuronal plasticity, and dendritic morphology, likely involve miRNAs [16–19]. To date, studies on the roles of hippocampal miRNAs in various brain diseases have been targeted only to a small number of miRNAs. There is a lack of a broader view of cocaine-induced changes of miRNA expression within hippocampus.
In this study, we used miRNA microarray to examine changes in miRNA expression in rat hippocampus during the acquisition and extinction of cocaine-induced CPP. Potential targets of altered miRNA in this study were also discussed.
Adult male Wister rats (n = 68), weighing 250-280 g, were used in this study. Rats were maintained on a reverse light/dark cycle with food and water available ad libitum. All experiment procedures were approved by Animals Use and Care Committee of Nanjing Medical University, China. All efforts have been made to minimize both the suffering and the number of animals used.
Drug treatment and conditioned place preference (CPP)
CPP was conducted in an apparatus constructed of three chambers (72 × 25 × 32 cm, Zhenghua Biologic Apparatus, Anhui, China). The two side larger chambers differ in their walls (black or black with white stripes, respectively) and floors (stainless-steel mesh or stainless-steel bars, respectively). The middle smaller chamber (11 × 25 × 32 cm) has gray wall with a smooth PVC floor. Three distinct chambers are separated by removable guillotine doors. Time spent in each chamber was recorded by means of infrared beam crossings which are located in the walls in each chamber.
Rats were killed on day 14 after CPP test 1 and on day 26 after CPP test 2. The brains were immediately harvested on ice. Repeated cocaine-exposed rats that acquired cocaine CPP served as “CCA” group, and repeated saline-exposed rats served as SCA control. The cocaine CPP-extinguished rats served as CCE group, and rats with saline CPP and subsequent extinction trainings served as SCE control. Hippocampus was quickly removed from each brain on dry ice and stored at −80°C until use. To obtain enough RNA for detecting miRNA, hippocampus from 4 rats in one group were pooled. The following experiments were performed on RNA isolated from pooled samples (n = 3 samples/12 rats per group). Total RNA of hippocampus was extracted using TRIzol (Invitrogen, Carlsbad, CA, USA) and miRNasey mini Kit (Qiagen, Venlo, Netherlands) according to the manufacturer’s instructions. The quality and quantity of RNA were assessed by using NanoDrop-1000 UV–vis spectrophotometer (Midland, ON, Canada) and RNA integrity was determined by gel electrophoresis.
After RNA isolation from the samples, the miRCURY™ Hy3™/Hy5™ Power labeling kit (Exiqon, Vedbaek, Denmark) was used according to the manufacturer’s guideline for miRNA labelling. One microgram of each sample was 3′-end-labeled with Hy3™ fluorescent label, using T4 RNA ligase by the following procedure: RNA in 2.0 μL of water was combined with 1.0 μL of CIP buffer and CIP (Exiqon, Vedbaek, Denmark). The mixture was incubated for 30 min at 37°C, and was terminated by incubation for 5 min at 95°C. Then 3.0 μL of labeling buffer, 1.5 μL of fluorescent label (Hy3™), 2.0 μL of DMSO, 2.0 μL of labeling enzyme were added into the mixture. The labeling reaction was incubated for 1 h at 16°C, and terminated by incubation for 15 min at 65°C.
After stopping the labeling procedure, the Hy3™-labeled samples were hybridized on the miRCURY™ LNA Array (v.16.0) (Exiqon, Vedbaek, Denmark) according to array manual. The total 25 μL mixture from Hy3™-labeled samples with 25 μL hybridization buffer were first denatured for 2 min at 95°C, incubated on ice for 2 min and then hybridized to the microarray for 16 – 20 h at 56°C in a 12-Bay Hybridization Systems (Hybridization System - Nimblegen Systems, Inc., Madison, WI, USA), which provides an active mixing action and constant incubation temperature to improve hybridization uniformity and enhance signal. Following hybridization, the slides were achieved, washed several times using Wash buffer kit (Exiqon, Vedbaek, Denmark), and finally dried by centrifugation for 5 min at 400 rpm. Then the slides were scanned using the Axon GenePix 4000B microarray scanner (Axon Instruments, Foster City, CA, USA).
Scanned images were then imported into GenePix Pro 6.0 software (Axon Instruments, Foster City, CA, USA) for grid alignment and data extraction. The miRNAs, whose intensities are more than 50 in all samples, were chosen for calculating normalization factor. Expressed data were normalized using the Median normalization. After normalization, significant differentially expressed miRNAs were identified through Volcano Plot filtering. Hierarchical clustering was performed using MEV software (v4.6).
RNA samples that were applied to microarray were also used for qRT-PCR confirmation. Total RNA were reversely transcripted (RT) using mature miRNA-specific RT primers (Additional file 1), and subsequent qPCR reaction was performed using the SYBR Green PCR Master Mix Kit (SuperArray) and ABI 7900 fast real-time PCR system (Applied Biosystems). The 10-μl PCR reaction system contained: 5 μL 2 × master mix, 1 μL miRNA specific primer sets (Additional file 1), 2 μL miRNA RT product, and 2 μL ddH2O. Each reaction sample was run in triplicates. The PCR reactions were incubated at 95°C for 30 min, followed by 40 cycles of 95°C for 10 s, 60°C for 60 s. The expression of U6 small nucleolar RNA was used as internal control. The relative expression level for each miRNA was calculated by the comparative CT method (2−ΔΔCt).
MiRNA target gene prediction and their functional analysis
The target genes of differentially expressed miRNA in this study were predicted using miRanda (http://www.microrna.org/), miRBase (http://mirbase.org/) and miRDB (http://mirdb.org/) databases. In order to eliminate false-positive predictions, only the overlapped target genes in the three databases were selected to perform the subsequent functional analysis. The function classification of predicted miRNA target genes, including molecular function, biological process and cellular component, were performed based on universal Gene Ontology (GO) terms (http://bioinfo.vanderbile.edu/webgestalt/). KEGG Mapper program (http://www.genome.jp/kegg/) was used here to investigate the functional pathways in which these predicted target genes were involved.
For CPP data, CPP score is the ratio of the time spent in the drug-paired chamber to the time spent in non-drug-paired chamber, and data are expressed as mean ± SD. For miRNA array, data are expressed as normalized median. For qRT-PCR, data are expressed as mean ± SD. Differences among SCA, CCA, SCE and CCE groups were analyzed by ANOVA with Student-Newman-Keuls (q test). The significance is all set at p < 0.05, and fold change cut-off is 1.5 for microarray. Pearson correlation test is performed between the data of microarray study and that of qRT-PCR.
MiRNA expression in hippocampus during acquisition and extinction of cocaine CPP in rats
Differentially expressed miRNAs in hippocampus when rats acquired cocaine CPP
Ratio of CCA to SCA
Differentially expressed miRNAs in hippocampus when cocaine-induced CPP were extinct in rats
Ratio of CCA to SCA
Validation of miRNA array findings by qRT-PCR
Comparison of miRNA expression in hippocampus between CCA and CCE rats
MicroRNA target gene prediction and function analysis
KEGG analysis of predicted target genes of miRNAs in rat hippocampus
miRNA target (gene_symbol)
Gnai3, Gng10, Pla2g4a, Plcb4, Slc17a6, Chp2
miR-135a, miR-144, miR-22, miR-350, miR-770
Gnai3, Gng10, Plcl1, Slc38a5
miR-144, miR-22, miR-34c, miR-674-3p, miR-873, miR-878
Chrm3, Gnai3, Gng10, Plcb4, Bcl2
miR-22, miR-144, miR-770, miR-34b, miR-34c, miR-878
Gnai3, Gng10, Kif5a, Arrb2, Plcb4, Ppp2cb
miR-22, miR-144, miR-347, miR-181c, miR-30a*, miR-770, miR-26b, miR-133b, miR-878
Gnai3, Gng10, Pla2g4a, Plcb4, Ptgs1, Raf1
miR-22, miR-144, miR-770, miR-181c, miR-382, miR-873, miR-770
Plcb4, Raf1, Chp2
miR-770, miR-135a, miR-350
Gnai3, Pla2g4a, Plcb4, Ppp2cb, Raf1
miR-22, miR-144, miR-770, miR-26b, miR-133b, miR-878
Retrograde Endocannabinoid Signaling
Gnai3, Gng10, Plcb4, Slc17a6
miR-22, miR-144, miR-770, miR-350
Synaptic Vesicle Cycle
Cplx1, Clta, Cltc, Ap2a2, Atp6v1e1, Slc17a6, Vamp2, Atp6v0d1
miR-129, miR-135a, miR-133b, miR-350, miR-152, miR-34c, miR-194, miR-431, miR-382, miR-872
Neurotrophin Signaling Pathway
Prkcd, Raf1, Bcl2, Tp53
miR-181c, miR-26b, miR-350, miR-34c, miR-874, miR-34b, miR-770
Atp5g3, Plcb4, Sdhd, Chp2, Adam17, Uqcrc2
miR-34b, miR-878, miR-770, miR-674-3p, miR-135a, miR-350, miR-194, miR-26b
MAPK Signaling Pathway
Gadd45a, Arrb2, Pak1, Pla2g4a, Raf1, Chp2, Stk3, Tp53, Map3k12, Cacna2d1
miR-134, miR-152, miR-431, miR-181c, miR-30a*, miR-144, miR-770, miR-135a, miR-350, miR-665, miR-34b, miR-34c, miR-874, miR-191
Calcium Signaling Pathway
Chrm3, Adrb3, Slc25a5, Pde1c, Phkg2, Plcb4, Plcd1, Ptafr, Chp2, Cckbr
miR-878, miR-26b, miR-347, miR-134, miR-135a, miR-350, miR-674-3p, miR-770, miR-191, miR-152, miR-30a*
PI3K-Akt signaling pathway
Cdk2, Col2a1, Col4a4, Csf1r, Gng10, Hgf, Pck1, Ppp2cb, Ptk2, Raf1, Bcl2, Tlr2, Tp53, Ywhag
miR-134, miR-152, miR-26b, miR-133b, miR-878, miR-34b, miR-34c, miR-872, miR-144, miR-135a, miR-770, miR-181c
The regulation of gene expression in hippocampus is thought to contribute to the development of drug addiction [13, 14]. The miRNAs, the key regulators for of gene expression, are emerging as vital regulatory components of drug addiction [7–11]. In this study, 47 miRNAs were found to be regulated in rat hippocampus in response to cocaine exposure and subsequent cocaine absence.
Our result indicates that miRNA expression profiles of hippocampus are different in cocaine CPP-acquiring phase and CPP-extinguishing phase. Repeated cocaine exposure may produce changes in miRNA expression, which may lead to alteration in gene expression, and result in structural and functional modifications in hippocampus. Ultimately, these modifications might contribute to drug addictive behaviors, such as cocaine CPP. Some alteration in miRNA expression following cocaine exposure may persist for a long time, even still being evident after a long-term abstinence from cocaine administration, such as miR-144, miR-451 and miR-770 in this study. We hypothesized that long-lasting alterations in miRNA expression may contribute to persistent memory of drug-related euphoric events and contexts, and ultimately result in cocaine relapse. Notably, some miRNAs levels selectively affected in CCE rats, but not in CCA rats, such as miR-129, miR-135a and miR-22 in this study. In addition, levels of miR-34b and miR-34c were up-regulated in CCA rats, but down-regulated in CCE rats. These findings indicate that abstinence from previous cocaine experiences also has impacts on miRNA expression in hippocampus. Further studies are needed to investigate the contributions of these cocaine treatment-induced dynamic alterations of miRNA expression in rat hippocampus to drug-associated memory in the brain.
So far, little is known about the correlation between hippocampal miRNA and drug abuse. Several miRNAs altered following cocaine treatment in this study were suggested to be important regulators in hippocampus. For example, miR-134 is a brain-specific miRNA that can negatively regulate the size of dendritic spines of rat hippocampal neurons via mediating limk1 expression . Silencing miR-134 expression in hippocampus in vivo reduces the prolonged seizures in mice . Other miRNAs, such as miR-181c, miR-191, miR-22, miR-99b*, and miR-369-5p, are also differentially modulated in rat hippocampus during post-status epilepsy [21, 22]. The level of miR-34c is found to be elevated in the hippocampus in Alzheimer’s disease . These results suggest that these miRNAs may be involved in some pathological disorders occurred in hippocampus, but whether they exert regulatory effects on cocaine abuse remains to be investigated.
In order to select candidate hippocampal miRNAs that may be important to cocaine abuse, we compared the current findings with that of previous studies. Several miRNAs indentified in this study showed to be involved in the addiction process of cocaine and other abused drugs. For instance, chronic cocaine exposure also changes the levels of miR-382 and miR-409-3p in nucleus accumbens . The level of miR-133b is regulated also by morphine in hippocampal neurons , and pregnant cocaine exposure is able to affect the expression of dopamine receptors (DR) in embryos via miR-133b regulation . Other examples include miR-504 and miR-26b. MiR-504 mediates expression of the dopamine D1 receptor  and miR-26b is reported to negatively regulate brain-derived neurotrophic factor (BDNF) expression at post-transcriptional level . DR and BDNF are key molecules involved in cocaine addiction [28, 29]. These comparisons indicate that these miRNAs may be vulnerable in nervous disorders and may be common targets of drug abuse. It is of great interest to study the roles of these miRNAs in the development of cognitive deficits associated with drug abuse in future. Recently, some miRNAs in the nucleus accumbens have been reported to be involved in behavioral changes in cocaine CPP, such as miR-181a, miR-124 and let-7b [7, 8]. MiR-212 in the striatum is able to regulate cocaine self-administrated intake behaviors [9, 10]. In this study, no changes had been detected in their expressions in rat hippocampus following acquisition and extinction of cocaine CPP. On one hand, miRNA may perform their mediating roles in cocaine abuse in a brain region-specific manner. On the other hand, the levels of miRNAs in the brain may be changed depending on different abuse animal models, such as different drug doses, different drug timelines, self-administration models and CPP models.
To gain further insight into the roles of miRNAs in cocaine abuse, the potential gene targets of differentially expressed hippocampal miRNAs were predicted. To better understand the possible functions of these target genes, GO analysis and KEEG pathway analysis were performed. Cocaine abuse has been thought to influence brain activity through modulating signaling pathways and synaptic function in the brain [2, 3]. Hence, we paid more attention to the miRNAs targets that may be involved in nervous system-related pathways and signal translating pathways (as shown in Table 3). There were several target genes that attracted our attention. The first example is Raf1. miR-212 in striatum is reported to decrease responsiveness to the motivational properties of cocaine by activating CREB signaling. This process requires the enhancement of Raf1 activities . miR-770, which was up-regulated in this study, may exert regulatory actions on the activity of Raf1. The other example is Gnai3, a G-protein alpha3 inhibiting activity polypeptide. Gnai3 protein together with beta-gamma dimmers and an activator of G-protein signaling 3 may mediate the relapse of herion-seeking behavior . In addition, many G-protein-coupled receptors, such as 5-hydroxytryptamine-A1 receptor, GABAB receptor and cannabinoid CB1 receptor, mediate synaptic transmission in hippocampal neurons by binding to Gnai3 protein [31, 32]. In this study, several altered hippocampal miRNA, including miR-133b, miR-152, miR-194, miR-22, miR-30a*, miR-347, and miR-874, have potential ability to regulate the expression of Gnai3.
To our knowledge, this is the first study to reveal different miRNAs expression patterns in rat hippocampus during the acquisition and extinction of cocaine-induced CPP. These findings may extend our understanding of the regulatory network underlying cocaine abuse and may provide new targets for the future treatment of drug abuse. Notably, we only explored the global miRNA changes in rat hippocampus using cocaine CPP model. Future studies are needed to characterize the physiological implications of these altered miRNAs in drug of abuse.
This work is supported by National Natural Science Foundation of China (81371467 and 81000572), Natural Science Foundation of Jiangsu Province (10KJB180005), National Science Council of Taiwan (101-2320-B-110-003), and NSYSU-KMU Joint Research Project (2013-I006).
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