Skip to main content
Current Neuropharmacology logoLink to Current Neuropharmacology
. 2011 Mar;9(1):143–150. doi: 10.2174/157015911795017290

Differential Gene Expression in the Nucleus Accumbens and Frontal Cortex of Lewis and Fischer 344 Rats Relevant to Drug Addiction

A Higuera-Matas 1, G L Montoya 1, SM Coria 1, M Miguéns 1, C García-Lecumberri 1, E Ambrosio 1,*
PMCID: PMC3137170  PMID: 21886580

Abstract

Drug addiction results from the interplay between social and biological factors. Among these, genetic variables play a major role. The use of genetically related inbred rat strains that differ in their preference for drugs of abuse is one approach of great importance to explore genetic determinants. Lewis and Fischer 344 rats have been extensively studied and it has been shown that the Lewis strain is especially vulnerable to the addictive properties of several drugs when compared with the Fischer 344 strain. Here, we have used microarrays to analyze gene expression profiles in the frontal cortex and nucleus accumbens of Lewis and Fischer 344 rats. Our results show that only a very limited group of genes were differentially expressed in Lewis rats when compared with the Fischer 344 strain. The genes that were induced in the Lewis strain were related to oxygen transport, neurotransmitter processing and fatty acid metabolism. On the contrary genes that were repressed in Lewis rats were involved in physiological functions such as drug and proton transport, oligodendrocyte survival and lipid catabolism.

These data might be useful for the identification of genes which could be potential markers of the vulnerability to the addictive properties of drugs of abuse.

Keywords: Drug addiction, gene expression, genetic differences, Fischer 344, Lewis, microarrays.

INTRODUCTION

Drug addiction arises from the interplay between social and biological factors. Among the later, genetic variables are thought to play a major role [1, 2]. This fact has been corroborated in animal studies, especially in those involving Lewis (LEW) and Fischer 344 (F344) rats. These two rat strains show differential responses to both drugs of abuse and stressors [3]. LEW rats are more sensitive to the reinforcing properties of cocaine, morphine or ethanol and they faster acquire the self-administration of these drugs [4-9].

On the other hand, LEW and F344 rats differ in several neurochemical parameters which are related to reward processes. For instance, LEW animals have higher levels of tyrosine hydroxylase in the ventral tegmental area (VTA) but lower levels in the nucleus accumbens (NAcc) when compared with F344 rats [10-14]. There are also differences in the levels of µ opioid receptors in several brain regions between both strains and these proteins are differentially modulated after morphine self-administration and during the extinction of this behavior [8]. Moreover, it has been shown that there are higher levels of dopamine in the NAcc-Core of LEW rats after acute administration of several drugs of abuse [15].

Another important difference between both strains is the reactivity of the hypothalamic-pituitary-adenal (HPA) axis which displays a higher activity in the F344 strain when compared with the LEW strain [3, 16, 17].

Notwithstanding all the data referenced above, the differential gene expression pattern in areas of the reward circuit of these two strains was unexplored. Therefore we designed the following experiment where we used Affymetrix cDNA microarrays to study gene expression in two key components of the reward system, the NAcc and frontal cortex (FC) [18] of the addiction-prone LEW strain and its histocompatible control the F344 strain.

MATERIALS AND METHODS

Animals

Male F344 (n=9) and LEW (n=9) rats weighing 300-320 g at the beginning of the experiments were used.

All animals were maintained at a constant temperature (20±2º C) in a 12 hours light-dark cycle (lights on at 08:00 hours), with free access to food and water (commercial diet for rodents A04/A03; Panlab, Barcelona, Spain). All animals were maintained and handled according to European Union Laboratory Animal Care Rules (86/609/EEC Directive).

RNA Extraction

Two weeks after arrival in the vivarium, the rats were lightly anesthetized with isoflourane and decapitated. Brains were quickly removed and the FC and NAcc dissected out on ice. After weighed, the tissue was preserved in RNAlater solution (Qiagen, United Kingdom) at 4ºC overnight and then at -20ºC until RNA extraction. All the procedures were performed under the maximum sterility and dissection instruments and work surfaces were thoroughly cleaned with RNAase Zap (Ambion, Spain) to prevent RNAase activity. Total RNA extraction was performed with RNAeasy extraction kit with in-column DNAase digestion (Qiagen, United Kingdom), according to manufacturer’s instructions. RNA quantity was determined by 260 nm absorbance and integrity was determined with an Agilent Bioanalyzer 2100 (all samples showing a RIN >8).

Microarray Analysis

For microarray studies we made 3 pools of RNA per structure and strain, resulting on 12 different pools of RNA (3 for NAcc of LEW rats, 3 for frontal cortex of LEW rats, 3 for NAcc of F344 rats and 3 for frontal cortex of F344 rats). For each strain, RNA from 9 rats was used.

Probe preparation, hybridization and analysis were carried out in the genomics core facility of the “Universidad Complutense de Madrid”. Probes for the Affymetrix Gene 1.0 ST were prepared and hybridized to the array using the “GeneChip Whole Transcript Sense Target Labeling Assay” (Affymetrix) according to the manufacturer’s suggestions. Briefly, for each sample of 200 ng of total RNA, cDNA was synthesized with random hexamers tagged with a T7 promoter sequence. The double-stranded cDNA was used as a template for amplification with T7 RNA polymerase to create antisense cRNA. Next, random hexamers were used to reverse transcribe the cRNA to produce single-stranded sense strand DNA. The DNA was fragmented and labeled with terminal deoxynucleotidyl transferase. The probes from each pool were hybridized to the Affymetrix Gene 1.0 ST array for 16 h at 45ºC. Subsequently, arrays were scanned and gene expression indexes were calculated with the RMA software [19].

Expression ratios higher than 2 were considered to reflect induction of gene expression whereas ratios lower than 0.5 were taken as indexes of inhibition of expression. Significance was set to p<0.05.

RESULTS

For the sake of clarity, we have organized the data according to induction/inhibition and anatomical localization criteria (induction/inhibition only in the NAcc, only in the FC or in both) (See Tables 1-6).

Table 1.

Genes that were Induced Both in the NAcc and FC in LEW Rats as Compared with F344 Rats

Gene Symbol Gene Description mRNA Accession No. Biological Process
Pitpnm1 phosphatidylinositol transfer protein, membrane-associated 1 NM_001008369 protein transport
Acsm3 acyl-CoA synthetase medium-chain family member 3 NM_033231 lipid metabolic process
Nit2 nitrilase family, member 2 NM_001034126 nitrogen compound metabolic process
RGD1309362 similar to interferon-inducible GTPase BC098065 hydrolase activity, acting on acid anhydrides
RGD1561619_predicted similar to Camello-like 2 (predicted) XM_001074225 multicellular organismal development

Table 6.

Genes that were Inhibited in the NAcc of LEW rats as Compared with F344 Rats

Gene Symbol Gene Description mRNA Accession No. Biological Process
Ifi27l interferon, alpha-inducible protein 27-like NM_203410 implantation
ATP8 ATP synthase F0 subunit 8 ENSRNOT00000046201 ion transport (proton transport)
Igfbp6 insulin-like growth factor binding protein 6 NM_013104 regulation of cell growth
Rad1 RAD1 homolog (S. pombe) NM_001106419 DNA replication
Dkk3 dickkopf homolog 3 (Xenopus laevis) NM_138519 multicellular organismal development/negative regulator of Wnt signaling pathway
Igfbp2 insulin-like growth factor binding protein 2 NM_013122 regulation of cell growth
Thrsp thyroid hormone responsive NM_012703 Protein binding (thyroid hormone-induced neuronal cell death)
LOC684785 similar to pleckstrin homology domain-containing, family A (phosphoinositide binding specific) member 2 ENSRNOT00000022097 Unknown
Slc6a20 solute carrier family 6 (neurotransmitter transporter), member 20 NM_133296 neurotransmitter transport
Ogn osteoglycin NM_001106103 protein binding

Only a limited number of the genes studied were significantly different between strains. LEW rats showed higher expression in both the NAcc and FC in only 5 of the genes included in the array. These genes were related to different functions such as protein transport, lipid metabolism, nitrogen metabolism, hydrolase activity or organismal development (Table 1).

The number of genes that were significantly induced in the FC and not in the NAcc was higher in the LEW strain compared with the F344 strain. Two of these genes were related to oxygen transport (LOC689064 and MGC72973) and another pair was related to ion transport (Atp5g2 and Slc17a6, the latter being also involved in neurotransmitter uptake). The rest of the genes induced in the FC were involved in different biological processes such as ADP-ribosylation (Adprhl1), regulation of cell cycle (RGD1310778) and signal transduction (Gpr103) to mention just a few examples (see Table 2 for further details).

Table 2.

Genes that were Induced in the FC but not in the NAcc of LEW Rats as Compared with F344 Rats

Gene Symbol Gene Description mRNA Accession No. Biological Process
Atp5g2 ATP synthase, H+ transporting, mitochondrial F0 complex, subunit C2 (subunit 9) NM_133556 ion transport (proton transport)
LOC689064 beta-globin NM_001111269 oxygen transport
MGC72973 beta-glo NM_198776 oxygen transport
RGD1563482 similar to hypothetical protein FLJ38663 BC168187 unknown
RGD1310778 similar to Putative protein C21orf45 BC167102 cell cycle
LOC363306 hypothetical protein LOC363306 ENSRNOT00000041659 unknown
Slc17a6 solute carrier family 17 (sodium-dependent inorganic phosphate cotransporter), member 6 NM_053427 Ion transport /neurotransmitter uptake)
Ccdc95 coiled-coil domain containing 95 NM_001013900 unknown
Ccdc77 coiled-coil domain containing 77 ENSRNOT00000056200 unknown
Adprhl1 ADP-ribosylhydrolase like 1 NM_001013054 protein amino acid de-ADP-ribosylation/protein amino acid de-ADP-ribosylation
RGD1307225 similar to MEGF6 NM_001107663 unknown
Gpr103 G protein-coupled receptor 103 NM_198199 signal transduction/G-protein coupled receptor protein signaling pathway
LOC692042 hypothetical protein LOC692042 XM_001081377 unknown
LOC300308 similar to hypothetical protein 4930509O22 BC090074 protein amino acid phosphorylation
LOC688778 similar to fatty aldehyde dehydrogenase-like ENSRNOT00000024034 oxidation reduction/cellular aldehyde metabolic process

As for the NAcc, only a few genes were induced in this structure in the LEW strain, without alteration in FC expression patterns. These genes were involved in sodium transport (Slc10a4), sphingolipid metabolism (Fa2h_predicted//Wdr59), cytokinesis (Anln), organismal development (Hydin) and apoptosis (Perpr) (see Table 3).

Table 3.

Genes that were Induced only in the NAcc but not in the FC of LEW Rats as Compared with F344 Rats

Gene Symbol Gene Description mRNA Accession No. Biological Process
Slc10a4 solute carrier family 10 (sodium/bile acid cotransporter family), member 4 NM_001008555 ion transport(sodium)
Fa2h_predicted // Wdr59 fatty acid 2-hydroxylase (predicted) // WD repeat domain 59 ENSRNOT00000025625 fatty acid biosynthetic process (sphingolipid metabolism)
Tmem63a // Tmem6 transmembrane protein 63a // transmembrane protein 6 ENSRNOT00000004519 unknown
Anln anillin, actin binding protein (scraps homolog, Drosophila) ENSRNOT00000024361 cytokinesis
Hydin hydrocephalus inducing XM_226468 multicellular organismal development
LOC365476 similar to chromosome 10 open reading frame 79 XM_345041 unknown
RGD1559942 similar to hypothetical protein ENSRNOT00000044984 Unknown
Perp PERP, TP53 apoptosis effector NM_001106265 induction of apoptosis

With regard to inhibited expression, the genes that were repressed in both the NAcc and FC in LEW rats compared with F344 were more numerous than those which were induced. Interestingly, two of these genes (Nqo2 and Akr1b10) were involved in oxidation-reduction processes while the rest of the inhibited genes had diverse functions, such as calcium binding (Pvalb), sphingolipid metabolism (Sgms2) or drug transport (Abcg2) among others (see Table 4).

Table 4.

Genes that were Inhibited both in the NAcc and FC of LEW Rats as Compared with F344 Rats

Gene Symbol Gene Description mRNA Accession No. Biological Process
Myo5c myosin VC NM_001108167 secretory granule trafficking
Pvalb parvalbumin NM_022499 calcium ion binding
LOC679726 similar to spermatogenesis associated glutamate (E)-rich protein 4d ENSRNOT00000040473 unknown
Fcrls Fc receptor-like S, scavenger receptor NM_001107702 scavenger receptor activity
Thoc4 THO complex 4 NM_001109602 nuclear mRNA splicing, via spliceosome
Sucnr1 succinate receptor 1 NM_001001518 signal transduction (G-protein coupled receptor signaling)
LOC686123 similar to leucine rich repeat and coiled-coil domain containing 1 ENSRNOT00000059442 protein binding
Sgms2 sphingomyelin synthase 2 NM_001014043 fatty acid biosynthetic process (sphingolipid metabolism)
Abcg2 ATP-binding cassette, sub-family G (WHITE), member 2 NM_181381 drug transport
Nqo2 NAD(P)H dehydrogenase, quinone 2 NM_001004214 memory formation/ oxidation reduction
Akr1b10 aldo-keto reductase family 1, member B10 (aldose reductase) NM_001013084 oxidation reduction
Ccdc42 coiled-coil domain containing 42 NM_001107009 unknown

Specific gene expression inhibition in the FC comprised more genes, with a broader range of functions. More specifically, three of the genes that were inhibited in the FC but not in the NAcc were related to neurotransmitter regulation (transport, secretion/exocytosis: Sv2c, Unc13c and Sytl5 respectively) and two of them were involved in organismal development (Dlx5 and Cml2). The others were related to biological processes such as membrane organization (Ap1s2), regulation of DNA damage (Chd1l), regulation of oligodendrocyte prolongations (Ermn) and apoptosis (Alox15) among others (Table 5).

Table 5.

Genes that were Inhibited in the FC but not in the NAcc of LEW Rats as Compared with F344 Rats

Gene Symbol Gene Description mRNA Accession No. Biological Process
Nxph4 neurexophilin 4 NM_021680 neuropeptide-like activity
Slc35d3 solute carrier family 35, member D3 NM_001107522 unknown
Sv2c synaptic vesicle glycoprotein 2c NM_031593 neurotransmitter transport
Unc13c unc-13 homolog C (C. elegans) NM_173146 regulation of neurotransmitter secretion
Lrrc1 leucine rich repeat containing 1 NM_001014268 protein binding
Sytl5 synaptotagmin-like 5 NM_178333 exocytosis
Dlx5 distal-less homeobox 5 NM_012943 multicellular organismal development/nervous system development
Lpl lipoprotein lipase NM_012598 lipid catabolic process/fatty acid biosynthetic process
Ap1s2 adaptor-related protein complex 1, sigma 2 subunit NM_001127531 intracellular protein transport/membrane organization
Mme membrane metallo endopeptidase NM_012608 proteolysis
Ermn ermin, ERM-like protein NM_001008311 regulation of cell projection organization(oligodendrocites)
Dpyd dihydropyrimidine dehydrogenase NM_031027 oxidation reduction/ purine and pyrimidine base catabolic processes
Cml2 Camello-like 2 NM_021668 multicellular organismal development
Chd1l chromodomain helicase DNA binding protein 1-like NM_001107704 chromatin remodeling/response to DNA damage stimulus
RGD1565493 similar to DKFZP434I092 protein XR_007761 Unknown
Alox15 arachidonate 15-lipoxygenase NM_031010 anti-apoptosis/arachidonic acid metabolic process

Lastly, the genes inhibited in the NAcc but not in the FC were less in number and related to several functions, for example neurotransmitter transport (Slc6a20), cell growth (Igfbp2 and Igfbp6), DNA replication (Rad1) or proton transport (ATP8).

DISCUSSION

In this work we have used cDNA microarrays analysis to study the differential gene expression profile in the NAcc and FC of the addiction-prone LEW strain and its histocompatible control the F344 strain. Although further real-time PCR studies must now validate these preliminary results, it seems that there are four set of genes differentially expressed in both inbred rat strains.

1. Induced Genes

1.1. Genes that were Induced in Both the NAcc and FC in LEW Rats as Compared with F344 Rats

To the best of our knowledge, neither of the genes that were induced in LEW rats as compared with F344 rats in both the NAcc and FC had any known relationship to drug addiction and were mainly involved in general homeostatic processes.

1.2. Genes that were Induced in the FC but not in the NAcc as Compared with F344 Rats

Within the genes that were induced in the FC but not in the NAcc of LEW rats compared with F344 animals, Atp5g2 could be related to drug addiction phenomena since it has been shown to be up-regulated in the pancreatic cells of alcohol-consuming rats, a fact which parallels with mitochondrial damage [20]. In nerve tissue, the up-regulated expression of this gene in the FC of LEW rats could also correlate with an enhanced sensitivity to alcohol-induced damage in LEW rats, a possibility which has not been explored as yet. The beta-globin gene (LOC 689064ç9 was also induced in the FC and not in the NAcc. An interaction between ethanol and beta-globin has been reported [21] since it has been shown that acetaldehyde, the major metabolite of ethanol forms adducts with the beta-globin chain of hemoglobin, which are typically used as a marker of ethanol consumption [21]. Although the functional implications of the increased expression of the beta-globin gene are not clear, it could be related to the stronger sensitivity to ethanol effects observed in the LEW strain [9]. Slc17a6 gene (which codes a vesicular glutamate transporter protein) was also induced in the FC of LEW rats when compared with F344 rats. Interestingly, this gene was found to be up-regulated in the VTA by extended alcohol and/or tobacco abuse in humans [22], suggesting a role for this gene in the enhanced sensitivity to alcohol reported in the LEW strain.

ADP-ribosylation is a major mechanism for G-protein inactivation. In fact, G proteins have been shown to be altered in opiate-dependent patients [23] and Gi protein inactivation by pertussis-toxin-induced ADP-ribosylation is able to reverse some of the behavioral responses elicited by dopaminergic agents during cocaine withdrawal [24]. As regards this, the increased expression of the Adprhl1 gene (which de-ADP ribosylates G proteins) in the FC of LEW rats could be a compensatory mechanism for an increased ADP-ribosylation activity. This enhanced ADP-ribsylation could be related to altered withdrawal syndromes in these two strains.

The rest of the genes induced in the FC but not in the NAcc have either unknown functions or no clear relationship with drug addiction processes.

1.3. Genes that were Induced in the NAcc but not in the FC of LEW Rats as Compared with F344 Rats

The next set of genes comprises those induced in the NAcc but not in the FC. Among these, one gene that merits mention here is the apoptosis-related gene Perp which is induced in degenerating dopamine neurons [25]. Given that dopaminergic toxicity has been sometimes associated to enhanced sensitivity to rewarding effects of several drugs [26, 27], it is tempting to speculate that Perp enhanced expression in the NAcc of LEW rats could be related to higher toxicity following a dopaminergic insult resulting in augmented sensitivity to the rewarding properties of drugs such as methamphetamine or ethanol. Nonetheless, this hypothesis has not been experimentally tested yet. The rest of the genes in this set have no clear relationship with drug addiction or reward.

2. Repressed Genes

2.1. Genes that were Repressed in the NAcc and FC in LEW Rats as Compared with F344 Rats

Among the genes that were inhibited in both the FC and NAcc of LEW rats compared with F344 animals, Pvalb is of special interest given that it is a marker for GABAergic neurons and there are several reports in the literature showing that drugs of abuse alter the number of parvalbumin-containing GABAergic neurons in several areas of the brain [28, 29]. Another interesting gene which was inhibited in both structures was Sgms2, which codes sphingomyelin synthase 2. Deficiency of this enzyme has been related to attenuated NFκB activation [30] which is a transcription factor involved in different aspects of drug addiction [31, 32]. Another gene which was inhibited was Nqo2 which is involved in oxidation-reduction reactions and has been associated with increased risk of methamphetamine-induced psychosis [33]. Interestingly, this gene is also implicated in plasticity mechanisms regulating learning and memory [34], processes that are also playing a central role in addictive behaviors [35, 36]. The other genes in this set have no clear relationship with drug addiction or reward processes.

2.2. Genes that were Repressed in the FC but not in the FC of LEW Rats as Compared with F344 Rats

We then examined the genes that were inhibited in the FC but not NAcc of LEW rats as compared with F344 rats. In this set of genes, Sv2c, the gene coding for synaptic vesicle glycoprotein 2c was repressed. This protein binds to synaptotagmin and regulates exocytosis [37], a process that is involved in normal synaptic transmission and in drug addiction [38]. This is in accordance with the fact that Sytl5, the gene that codes the synaptotagmin-like 5 and which is also involved in neurotransmitter secretion, is down-regulated. Interestingly, the Unc13c gene was inhibited in the FC of LEW and this gene is also known for regulating neurotransmitter secretion (Table 5). Therefore, three neurotransmitter release-related genes seem to be affected in the LEW strain. The relevance of this fact to normal synaptic function and addiction phenomena remains to be determined. The expression of Mme gene, which codes for the membrane metallo endopeptidase (enkephalinase) enzyme, was repressed in the FC but not the NAcc of LEW rats. This enzyme is responsible for the degradation of several endogenous peptides including the enkephalins [39]. A lower expression of this enzyme would result in high enkephalin levels which are observed after ethanol [40] or morphine [41] injections. Additionally, high levels of met-enkephalins are also responsible for attenuated withdrawal responses during opiate withdrawal [42]. Chd1l gene was also repressed in the FC of LEW rats. The protein coded by this gene (chromodomain helicase DNA binding protein 1-like) is able to interact with Nur77 and inhibit its translocation from the nucleus to the mitochondria [43]. Nur77 is an apoptosis-related protein involved in amphetamine-induced locomotion [44] and cocaine self-administration [45]. Interestingly, chronic cocaine upregulated the levels of NGFI-B/Nur77 family of nuclear orphan receptors in F344 rats while no effect was observed in LEW rats [46], highlighting differences in the dynamics of the expression of this gene in both strains in basal conditions as well as after drug challenges. Therefore, high levels of Nur77 (resulting from reduced Chd1l activity) could contribute to explain the enhanced susceptibility to drug self-administration of the LEW strain. The rest of the genes of this set have no clear relationship to reward or drug addiction processes.

2.3. Genes that were Repressed in the NAcc but not in the FC of LEW Rats as Compared with F344 Rat

Lastly, we found a reduced set of genes that were inhibited in the NAcc but not FC of LEW rats as compared with F344 rats. ATP8 (coding subunit 8 of the ATP synthase enzyme) inhibition could have some importance in explaining the vulnerability to the addictive properties of drugs of abuse. In this sense, it has been already found that the alpha-subunit of ATP synthase is differentially modulated in two subsets of rats which differed in the extinction of cocaine-induced conditioned place preference [47]. Another couple of interesting genes was Igfbp6 and Igfbp2 which have been shown to be involved in mood disorders [48-50] and therefore could also have relevance to drug addiction given the interrelationship between both psychopathological spectra [51, 52]. The rest of the genes in this set have no direct or clear relationship to drug addiction.

In conclusion, we have found four set of genes (each one only including a limited number of examples) that may be useful markers of vulnerability to addiction. Further studies should validate these results and test the implication of each of the genes reported here in addiction-related phenomena.

ACKOWLEDGEMENTS

This work was supported by grants from the Ministerio de Educación y Ciencia (Grants nº SAF2004-08148 and SAF2007-064890); Ministerio de Sanidad y Consumo (Grants nº RD06/0001/0029 from Instituto de Salud Carlos III, Plan Nacional sobre Drogas 2004-2007 and 2008-2010); Dirección General de Investigación de la Comunidad de Madrid (Grant S-SAL/0261/2006, I+D CANNAB-CM Consortium) and UNED (Plan de Promoción de la Investigación).

REFERENCES

  • 1.Goldman D, Oroszi G, Ducci F. The genetics of addictions: uncovering the genes. Nat. Rev. Genet. 2005;6:521–532. doi: 10.1038/nrg1635. [DOI] [PubMed] [Google Scholar]
  • 2.Haile CN, Kosten TR, Kosten TA. Genetics of dopamine and its contribution to cocaine addiction. Behav. Genet. 2007;37:119–145. doi: 10.1007/s10519-006-9115-2. [DOI] [PubMed] [Google Scholar]
  • 3.Kosten TA, Ambrosio E. HPA axis function and drug addictive behaviors: insights from studies with Lewis and Fischer 344 inbred rats. Psychoneuroendocrinology. 2002;27:35–69. doi: 10.1016/s0306-4530(01)00035-x. [DOI] [PubMed] [Google Scholar]
  • 4.Ambrosio E, Goldberg SR, Elmer GI. Behavior genetic investigation of the relationship between spontaneous locomotor activity and the acquisition of morphine self-administration behavior. Behav. Pharmacol. 1995;6:229–237. [PubMed] [Google Scholar]
  • 5.George FR, Goldberg SR. Genetic approaches to the analysis of addiction processes. Trends Pharmacol. Sci. 1989;10:78–83. doi: 10.1016/0165-6147(89)90083-7. [DOI] [PubMed] [Google Scholar]
  • 6.Kosten TA, Miserendino MJ, Haile CN, DeCaprio JL, Jatlow PI, Nestler EJ. Acquisition and maintenance of intravenous cocaine self-administration in Lewis and Fischer inbred rat strains. Brain Res. 1997;778:418–429. doi: 10.1016/s0006-8993(97)01205-5. [DOI] [PubMed] [Google Scholar]
  • 7.Martin S, Lyupina Y, Crespo JA, Gonzalez B, Garcia-Lecumberri C, Ambrosio E. Genetic differences in NMDA and D1 receptor levels, and operant responding for food and morphine in Lewis and Fischer 344 rats. Brain Res. 2003;973:205–213. doi: 10.1016/s0006-8993(03)02482-x. [DOI] [PubMed] [Google Scholar]
  • 8.Sanchez-Cardoso P, Higuera-Matas A, Martin S, del Olmo N, Miguens M, Garcia-Lecumberri C, Ambrosio E. Modulation of the endogenous opioid system after morphine self-administration and during its extinction: a study in Lewis and Fischer 344 rats. Neuropharmacology. 2007;52:931–948. doi: 10.1016/j.neuropharm.2006.10.011. [DOI] [PubMed] [Google Scholar]
  • 9.Suzuki T, Miura M, Nishimura K, Aosaki T. Dopamine-dependent synaptic plasticity in the striatal cholinergic interneurons. J. Neurosci. 2001;21:6492–6501. doi: 10.1523/JNEUROSCI.21-17-06492.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Beitner-Johnson D, Guitart X, Nestler E. Dopaminergic brain reward regions of Lewis and Fischer rats display different levels of tyrosine hydroxylase and other morphine- and cocaine-regulated phosphoproteins. Brain Res. 1991;561:147–150. doi: 10.1016/0006-8993(91)90759-o. [DOI] [PubMed] [Google Scholar]
  • 11.Beitner-Johnson D, Guitart X, Nestler EJ. Glial fibrillary acidic protein and the mesolimbic dopamine system: regulation by chronic morphine and Lewis-Fischer strain differences in the rat ventral tegmental area. J. Neurochem. 1993;61:1766–1773. doi: 10.1111/j.1471-4159.1993.tb09814.x. [DOI] [PubMed] [Google Scholar]
  • 12.Guitart X, Beitner-Johnson D, Marby DW, Kosten TA, Nestler EJ. Fischer and Lewis rat strains differ in basal levels of neurofilament proteins and their regulation by chronic morphine in the mesolimbic dopamine system. Synapse. 1992;12:242–253. doi: 10.1002/syn.890120310. [DOI] [PubMed] [Google Scholar]
  • 13.Haile CN, Hiroi N, Nestler EJ, Kosten TA. Differential behavioral responses to cocaine are associated with dynamics of mesolimbic dopamine proteins in Lewis and Fischer 344 rats. Synapse. 2001;41:179–190. doi: 10.1002/syn.1073. [DOI] [PubMed] [Google Scholar]
  • 14.Ortiz J, Fitzgerald LW, Lane S, Terwilliger R, Nestler EJ. Biochemical adaptations in the mesolimbic dopamine system in response to repeated stress. Neuropsychopharmacology. 1996;14:443–452. doi: 10.1016/0893-133X(95)00152-4. [DOI] [PubMed] [Google Scholar]
  • 15.Cadoni C, Di Chiara G. Differences in dopamine responsiveness to drugs of abuse in the nucleus accumbens shell and core of Lewis and Fischer 344 rats. J. Neurochem. 2007;103:487–499. doi: 10.1111/j.1471-4159.2007.04795.x. [DOI] [PubMed] [Google Scholar]
  • 16.Dhabhar FS, McEwen BS, Spencer RL. Stress response, adrenal steroid receptor levels and corticosteroid-binding globulin levels-a comparison between Sprague-Dawley, Fischer 344 and Lewis rats. Brain Res. 1993;616:89–98. doi: 10.1016/0006-8993(93)90196-t. [DOI] [PubMed] [Google Scholar]
  • 17.Grakalic I, Schindler CW, Baumann MH, Rice KC, Riley AL. Effects of stress modulation on morphine-induced conditioned place preferences and plasma corticosterone levels in Fischer, Lewis, and Sprague-Dawley rat strains. Psychopharmacology. 2006;189:277–286. doi: 10.1007/s00213-006-0562-5. [DOI] [PubMed] [Google Scholar]
  • 18.Koob GF, Volkow ND. Neurocircuitry of Addiction. Neuropsychopharmacology. 2010;35(1):217–238. doi: 10.1038/npp.2009.110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Irizarry RA, Hobbs B, Collin F, Beazer-Barclay YD, Antonellis KJ, Scherf U, Speed TP. Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Biostatistics. 2003;4:249–264. doi: 10.1093/biostatistics/4.2.249. [DOI] [PubMed] [Google Scholar]
  • 20.Li HS, Zhang JY, Thompson BS, Deng XY, Ford ME, Wood PG, Stolz DB, Eagon PK, Whitcomb DC. Rat mitochondrial ATP synthase ATP5G3: cloning and upregulation in pancreas after chronic ethanol feeding. Physiol. Genom. 2001;6:91–98. doi: 10.1152/physiolgenomics.2001.6.2.91. [DOI] [PubMed] [Google Scholar]
  • 21.Braun KP, Pavlovich JG, Jones DR, Peterson CM. Stable acetaldehyde adducts: structural characterization of acetaldehyde adducts of human hemoglobin N terminal beta-globin chain peptides. Alcohol Clin. Exp. Res. 1997;21:40–43. doi: 10.1111/j.1530-0277.1997.tb03726.x. [DOI] [PubMed] [Google Scholar]
  • 22.Flatscher-Bader T, Zuvela N, Landis N, Wilce PA. Smoking and alcoholism target genes associated with plasticity and glutamate transmission in the human ventral tegmental area. Hum. Mol. Genet. 2008;17:38–51. doi: 10.1093/hmg/ddm283. [DOI] [PubMed] [Google Scholar]
  • 23.Manji H, Chen G, Potter W, Kosten TR. Guanine nucleotide binding proteins in opioid-dependent patients. Biol. Psychiatry. 1997;41:130–134. doi: 10.1016/s0006-3223(96)00216-8. [DOI] [PubMed] [Google Scholar]
  • 24.Ushijima I, Mizuki Y, Kobayashi T, Aoki T, Suetsugi M, Usami K, Watanabe Y. Effects of pertussis toxin on behavioral responses during different withdrawal periods from chronic cocaine treatment. Prog. Neuropsychopharmacol. Biol. Psychiatry. 2000;24:1369–1377. doi: 10.1016/s0278-5846(00)00134-2. [DOI] [PubMed] [Google Scholar]
  • 25.Iwata S, Nomoto M, Morioka H, Miyata A. Gene expression profiling in the midbrain of striatal 6-hydroxydopamine-injected mice. Synapse. 2004;51:279–286. doi: 10.1002/syn.10307. [DOI] [PubMed] [Google Scholar]
  • 26.Gehrke BJ, Harrod SB, Cass WA, Bardo MT. The effect of neurotoxic doses of methamphetamine on methamphetamine-conditioned place preference in rats. Psychopharmacology. 2003;166:249–257. doi: 10.1007/s00213-002-1318-5. [DOI] [PubMed] [Google Scholar]
  • 27.Izco M, Marchant I, Escobedo I, Peraile I, Delgado M, Higuera-Matas A, Olias O, Ambrosio E, O'Shea E, Colado MI. Mice with decreased cerebral dopamine function following a neurotoxic dose of MDMA exhibit increased ethanol consumption and preference. J. Pharmacol. Exp. Ther. 2007;322(3):1003–1012. doi: 10.1124/jpet.107.120600. [DOI] [PubMed] [Google Scholar]
  • 28.Marshall AG, McCarthy MM, Brishnehan KM, Rao V, Batia LM, Gupta M, Das S, Mitra NK, Chaudhuri JD. Effect of gestational ethanol exposure on parvalbumin and calretinin expressing hippocampal neurons in a chick model of fetal alcohol syndrome. Alcohol. 2009;43:147–161. doi: 10.1016/j.alcohol.2008.12.004. [DOI] [PubMed] [Google Scholar]
  • 29.Todtenkopf MS, Stellar JR, Williams EA, Zahm DS. Differential distribution of parvalbumin immunoreactive neurons in the striatum of cocaine sensitized rats. Neuroscience. 2004;127:35–42. doi: 10.1016/j.neuroscience.2004.04.054. [DOI] [PubMed] [Google Scholar]
  • 30.Hailemariam TK, Huan C, Liu J, Li Z, Roman C, Kalbfeisch M, Bui HH, Peake DA, Kuo MS, Cao G, Wadgaonkar R, Jiang XC. Sphingomyelin synthase 2 deficiency attenuates NFkappaB activation. Arterioscler. Thromb. Vasc. Biol. 2008;28:1519–1526. doi: 10.1161/ATVBAHA.108.168682. [DOI] [PubMed] [Google Scholar]
  • 31.Russo SJ, Mazei-Robison MS, Ables JL, Nestler EJ. Neurotrophic factors and structural plasticity in addiction. Neuropharmacology. 2009;56(Suppl 1):73–82. doi: 10.1016/j.neuropharm.2008.06.059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Russo SJ, Wilkinson MB, Mazei-Robison MS, Dietz DM, Maze I, Krishnan V, Renthal W, Graham A, Birnbaum SG, Green TA, Robison B, Lesselyong A, Perrotti LI, Bolanos CA, Kumar A, Clark MS, Neumaier JF, Neve RL, Bhakar AL, Barker PA, Nestler EJ. Nuclear factor kappa B signaling regulates neuronal morphology and cocaine reward. J. Neurosci. 2009;29:3529–3537. doi: 10.1523/JNEUROSCI.6173-08.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Ohgake S, Hashimoto K, Shimizu E, Koizumi H, Okamura N, Koike K, Matsuzawa D, Sekine Y, Inada T, Ozaki N, Iwata N, Harano M, Komiyama T, Yamada M, Sora I, Ujike H, Shirayama Y, Iyo M. Functional polymorphism of the NQO2 gene is associated with methamphetamine psychosis. Addict. Biol. 2005;10:145–148. doi: 10.1080/13556210500123423. [DOI] [PubMed] [Google Scholar]
  • 34.Brouillette J, Quirion R. Transthyretin: a key gene involved in the maintenance of memory capacities during aging. Neurobiol. Aging. 2008;29:1721–1732. doi: 10.1016/j.neurobiolaging.2007.04.007. [DOI] [PubMed] [Google Scholar]
  • 35.Belin D, Mar AC, Dalley JW, Robbins TW, Everitt BJ. High impulsivity predicts the switch to compulsive cocaine-taking. Science. 2008;320:1352–1355. doi: 10.1126/science.1158136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Hyman SE, Malenka RC, Nestler EJ. Neural mechanisms of addiction: the role of reward-related learning and memory. Annu. Rev. Neurosci. 2006;29:565–598. doi: 10.1146/annurev.neuro.29.051605.113009. [DOI] [PubMed] [Google Scholar]
  • 37.Schivell AE, Mochida S, Kensel-Hammes P, Custer KL, Bajjalieh SM. SV2A and SV2C contain a unique synaptotagmin-binding site. Mol. Cell Neurosci. 2005;29:56–64. doi: 10.1016/j.mcn.2004.12.011. [DOI] [PubMed] [Google Scholar]
  • 38.Daniel JM, Sulzer JK, Hulst JL. Estrogen increases the sensitivity of ovariectomized rats to the disruptive effects produced by antagonism of D2 but not D1dopamine receptors during performance of a response learning task. Horm. Behav. 2006;49:38–44. doi: 10.1016/j.yhbeh.2005.05.001. [DOI] [PubMed] [Google Scholar]
  • 39.Erdos EG, Skidgel RA. Neutral endopeptidase 24.11 (enkepha-linase) and related regulators of peptide hormones. FASEB J. 1989;3:145–151. [PubMed] [Google Scholar]
  • 40.Marinelli PW, Bai L, Quirion R, Gianoulakis C. A microdialysis profile of Met-enkephalin release in the rat nucleus accumbens following alcohol administration. Alcohol Clin. Exp. Res. 2005;29:1821–1828. doi: 10.1097/01.alc.0000183008.62955.2e. [DOI] [PubMed] [Google Scholar]
  • 41.Nieto MM, Wilson J, Cupo A, Roques BP, Noble F. Chronic morphine treatment modulates the extracellular levels of endogenous enkephalins in rat brain structures involved in opiate dependence: a microdialysis study. J. Neurosci. 2002;22:1034–1041. doi: 10.1523/JNEUROSCI.22-03-01034.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Hao S, Hu J, Fink DJ. Transgene-mediated enkephalin expression attenuates signs of naloxone-precipitated morphine withdrawal in rats with neuropathic pain. Behav. Brain Res. 2009;197:84–89. doi: 10.1016/j.bbr.2008.08.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Chen L, Hu L, Chan TH, Tsao GS, Xie D, Huo KK, Fu L, Ma S, Zheng BJ, Guan XY. Chromodomain helicase/adenosine triphosphatase DNA binding protein 1-like (CHD1l) gene suppresses the nucleus-to-mitochondria translocation of nur77 to sustain hepatocellular carcinoma cell survival. Hepatology. 2009;50:122–129. doi: 10.1002/hep.22933. [DOI] [PubMed] [Google Scholar]
  • 44.Bourhis E, Maheux J, Paquet B, Kagechika H, Shudo K, Rompre PP, Rouillard C, Levesque D. The transcription factors Nur77 and retinoid X receptors participate in amphetamine-induced locomotor activities. Psychopharmacology. 2009;202:635–648. doi: 10.1007/s00213-008-1343-0. [DOI] [PubMed] [Google Scholar]
  • 45.Lynch WJ, Girgenti MJ, Breslin FJ, Newton SS, Taylor JR. Gene profiling the response to repeated cocaine self-administration in dorsal striatum: a focus on circadian genes. Brain Res. 2008;1213:166–177. doi: 10.1016/j.brainres.2008.02.106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Werme M, Thoren P, Olson L, Brene S. Running and cocaine both upregulate Dynorphin mRNA in medial caudate putamen. Eur. J. Neurosci. 2000;12:2967–2974. doi: 10.1046/j.1460-9568.2000.00147.x. [DOI] [PubMed] [Google Scholar]
  • 47.del Castillo C, Morales L, Alguacil LF, Salas E, Garrido E, Alonso E, Perez-Garcia C. Proteomic analysis of the nucleus accumbens of rats with different vulnerability to cocaine addiction. Neuropharmacology. 2009;57:41–48. doi: 10.1016/j.neuropharm.2009.04.005. [DOI] [PubMed] [Google Scholar]
  • 48.Bezchlibnyk YB, Wang JF, Shao L, Young LT. Insulin-like growth factor binding protein-2 expression is decreased by lithium. Neuroreport. 2006;17:897–901. doi: 10.1097/01.wnr.0000220143.37036.32. [DOI] [PubMed] [Google Scholar]
  • 49.Bezchlibnyk YB, Xu L, Wang JF, Young LT. Decreased expression of insulin-like growth factor binding protein 2 in the prefrontal cortex of subjects with bipolar disorder and its regulation by lithium treatment. Brain Res. 2007;1147:213–217. doi: 10.1016/j.brainres.2007.01.147. [DOI] [PubMed] [Google Scholar]
  • 50.Le-Niculescu H, Kurian SM, Yehyawi N, Dike C, Patel SD, Edenberg HJ, Tsuang MT, Salomon DR, Nurnberger JI Jr, Niculescu AB. Identifying blood biomarkers for mood disorders using convergent functional genomics. Mol. Psychiatry. 2009;14:156–174. doi: 10.1038/mp.2008.11. [DOI] [PubMed] [Google Scholar]
  • 51.Alloy LB, Bender RE, Wagner CA, Whitehouse WG, Abramson LY, Hogan ME, Sylvia LG, Harmon-Jones E. Bipolar spectrum-substance use co-occurrence: Behavioral approach system (BAS) sensitivity and impulsiveness as shared personality vulnerabilities. J. Pers. Soc. Psychol. 2009;97:549–565. doi: 10.1037/a0016061. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Mody CK, Miller BL, McIntyre HB, Cobb SK, Goldberg MA. Neurologic complications of cocaine abuse. Neurology. 1988;38:1189–1193. doi: 10.1212/wnl.38.8.1189. [DOI] [PubMed] [Google Scholar]

Articles from Current Neuropharmacology are provided here courtesy of Bentham Science Publishers

RESOURCES