Literature DB >> 19523047

Predicting the effect of naltrexone and acamprosate in alcohol-dependent patients using genetic indicators.

Wendy Ooteman1, Mickaël Naassila, Maarten W J Koeter, Roel Verheul, Gerard M Schippers, Hakim Houchi, Martine Daoust, Wim van den Brink.   

Abstract

Acamprosate and naltrexone are effective medications in the treatment of alcoholism. However, effect sizes are modest. Pharmacogenomics may improve patient-treatment-matching and effect sizes. It is hypothesized that naltrexone exerts its effect through genetic characteristics associated with the dopaminergic/opioidergic positive reinforcement system, whereas acamprosate works through the glutamatergic/GABAergic negative reinforcement system. Alcohol-dependent subjects were randomly assigned to either acamprosate or naltrexone. Subjects participated in a cue-exposure experiment at the day before and at the last day of medication. Reductions in cue-induced craving and physiological cue reactivity were measured. Differential effects of naltrexone and acamprosate on these outcomes were tested for different polymorphisms of the opioid, dopamine, glutamate and GABA-receptors. Significant matching effects were found for polymorphisms at the DRD2, GABRA6 and GABRB2 gene. In addition, a trend was found for the OPRM1 polymorphism. This provides evidence for the matching potential of genotypes. It is expected that more effective treatments can be offered when genetic information is used in patient-treatment-matching.

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Year:  2009        PMID: 19523047     DOI: 10.1111/j.1369-1600.2009.00159.x

Source DB:  PubMed          Journal:  Addict Biol        ISSN: 1355-6215            Impact factor:   4.280


  29 in total

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Authors:  Paolo Mannelli; Kathleen S Peindl; Tong Lee; Kamal S Bhatia; Li-Tzy Wu
Journal:  Curr Drug Abuse Rev       Date:  2012-03

Review 2.  Human and laboratory rodent low response to alcohol: is better consilience possible?

Authors:  John C Crabbe; Richard L Bell; Cindy L Ehlers
Journal:  Addict Biol       Date:  2010-04       Impact factor: 4.280

Review 3.  The role of the Asn40Asp polymorphism of the mu opioid receptor gene (OPRM1) on alcoholism etiology and treatment: a critical review.

Authors:  Lara A Ray; Christina S Barr; Julie A Blendy; David Oslin; David Goldman; Raymond F Anton
Journal:  Alcohol Clin Exp Res       Date:  2011-09-06       Impact factor: 3.455

Review 4.  Pharmacogenetics of alcohol use disorder treatments: an update.

Authors:  Emily E Hartwell; Henry R Kranzler
Journal:  Expert Opin Drug Metab Toxicol       Date:  2019-06-11       Impact factor: 4.481

5.  Increased ethanol drinking in "humanized" mice expressing the mu opioid receptor A118G polymorphism are mediated through sex-specific mechanisms.

Authors:  Angela N Henderson-Redmond; Tammy E Lowe; Xi B Tian; Daniel J Morgan
Journal:  Brain Res Bull       Date:  2017-08-02       Impact factor: 4.077

Review 6.  Promising pharmacogenetic targets for treating alcohol use disorder: evidence from preclinical models.

Authors:  Jennifer A Rinker; Patrick J Mulholland
Journal:  Pharmacogenomics       Date:  2017-03-27       Impact factor: 2.533

Review 7.  21st century neurobehavioral theories of decision making in addiction: Review and evaluation.

Authors:  Warren K Bickel; Alexandra M Mellis; Sarah E Snider; Liqa N Athamneh; Jeffrey S Stein; Derek A Pope
Journal:  Pharmacol Biochem Behav       Date:  2017-09-21       Impact factor: 3.533

8.  Differential sensitivity of human neurons carrying μ opioid receptor (MOR) N40D variants in response to ethanol.

Authors:  Matthew S Scarnati; Andrew J Boreland; Marisa Joel; Ronald P Hart; Zhiping P Pang
Journal:  Alcohol       Date:  2020-06-17       Impact factor: 2.405

Review 9.  Review: Pharmacogenetics of alcoholism treatment: Implications of ethnic diversity.

Authors:  Anita Cservenka; Megan M Yardley; Lara A Ray
Journal:  Am J Addict       Date:  2016-11-04

Review 10.  Addiction science: Uncovering neurobiological complexity.

Authors:  N D Volkow; R D Baler
Journal:  Neuropharmacology       Date:  2013-05-18       Impact factor: 5.250

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