Literature DB >> 19460419

Gnao1 (G alphaO protein) is a likely genetic contributor to variation in physical dependence on opioids in mice.

B Kest1, S B Smith, A Schorscher-Petcu, J-S Austin, J Ritchie, G Klein, G C Rossi, A Fortin, J S Mogil.   

Abstract

Chronic exposure to opioids leads to physical dependence, which manifests as the symptoms of drug withdrawal. Interindividual differences in withdrawal symptom severity are well known, and at least partially due to genetic variation. To identify genes contributing to variation in withdrawal severity, we chronically treated 30 strains of the AcB/BcA recombinant congenic mouse strain set, including their A/J and C57BL/6J (B6) progenitors, with morphine for seven days and compared jumping frequencies--a sensitive and widely used index of withdrawal magnitude--during naloxone-precipitated withdrawal (NPW). Jumping frequencies of B6 mice were more than threefold greater than values obtained in A/J mice. Visual inspection of the genomic distribution of parental haplotypes in the AcB/BcA strains identified a putative quantitative trait locus (QTL) localized to chromosome 8 (90-117 Mb), and this QTL was confirmed in a B6AF2 intercross. The most salient candidate gene within this QTL, Gnao1 (guanine nucleotide binding protein, alpha(o); G alpha(o); 96.3 Mb), was tested for functional relevance using quantitative PCR and an antisense oligodeoxynucleotide strategy. The expression of Gnao1 in the locus coeruleus was found to be upregulated in morphine-dependent B6 but not A/J mice. Antisense knockdown of Gnao1 reduced NPW jumping in B6, but not A/J, mice rendered dependent on either morphine or heroin, largely rescuing the original strain difference. These data strongly implicate the G alpha(o) protein in the locus coeruleus as contributing to interindividual variability in physical dependence on opioids in mice.

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Year:  2009        PMID: 19460419     DOI: 10.1016/j.neuroscience.2009.05.027

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  14 in total

1.  μ-Opioid receptor coupling to Gα(o) plays an important role in opioid antinociception.

Authors:  Jennifer T Lamberts; Emily M Jutkiewicz; Richard M Mortensen; John R Traynor
Journal:  Neuropsychopharmacology       Date:  2011-06-08       Impact factor: 7.853

2.  Epigenetic regulation of opioid-induced hyperalgesia, dependence, and tolerance in mice.

Authors:  De-Yong Liang; XiangQi Li; J David Clark
Journal:  J Pain       Date:  2013-01       Impact factor: 5.820

3.  The heritability of oxycodone reward and concomitant phenotypes in a LG/J × SM/J mouse advanced intercross line.

Authors:  Camron D Bryant; Michael A Guido; Loren A Kole; Riyan Cheng
Journal:  Addict Biol       Date:  2012-12-12       Impact factor: 4.280

4.  Brain Imaging-Guided Analysis Reveals DNA Methylation Profiles Correlated with Insular Surface Area and Alcohol Use Disorder.

Authors:  Yihong Zhao; Yongchao Ge; Zhi-Liang Zheng
Journal:  Alcohol Clin Exp Res       Date:  2019-03-04       Impact factor: 3.455

5.  Fentanyl-induced acute and conditioned behaviors in two inbred mouse lines: Potential role for Glyoxalase.

Authors:  Samuel J Harp; Mariangela Martini; Will Rosenow; Larry D Mesner; Hugh Johnson; Charles R Farber; Emilie F Rissman
Journal:  Physiol Behav       Date:  2021-10-26

6.  Identification of novel chromosomal regions associated with airway hyperresponsiveness in recombinant congenic strains of mice.

Authors:  Pierre Camateros; Rafael Marino; Anny Fortin; James G Martin; Emil Skamene; Rob Sladek; Danuta Radzioch
Journal:  Mamm Genome       Date:  2009-12-15       Impact factor: 2.957

Review 7.  Prioritizing the development of mouse models for childhood brain disorders.

Authors:  Kevin K Ogden; Emin D Ozkan; Gavin Rumbaugh
Journal:  Neuropharmacology       Date:  2015-07-29       Impact factor: 5.250

8.  Role of the guanine nucleotide binding protein, Gαo, in the development of morphine tolerance and dependence.

Authors:  Jennifer T Lamberts; Lisa D Rosenthal; Emily M Jutkiewicz; John R Traynor
Journal:  Psychopharmacology (Berl)       Date:  2017-10-03       Impact factor: 4.530

9.  Genome-wide association study of stimulant dependence.

Authors:  Jiayi Cox; Richard Sherva; Leah Wetherill; Tatiana Foroud; Howard J Edenberg; Henry R Kranzler; Joel Gelernter; Lindsay A Farrer
Journal:  Transl Psychiatry       Date:  2021-06-29       Impact factor: 6.222

10.  Genome-wide prediction and analysis of human tissue-selective genes using microarray expression data.

Authors:  Shaolei Teng; Jack Y Yang; Liangjiang Wang
Journal:  BMC Med Genomics       Date:  2013-01-23       Impact factor: 3.063

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