Literature DB >> 35965991

Opioid and dopamine genes interact to predict precision naltrexone response in alcohol use disorder: Interpretation misfires.

Kenneth Blum1, Jean Lud Cadet2, David Baron1, Rajendra D Badgaiyan3, Mark S Gold4.   

Abstract

Entities:  

Year:  2021        PMID: 35965991      PMCID: PMC9367130     

Source DB:  PubMed          Journal:  J Syst Integr Neurosci        ISSN: 2059-9781


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Pioneering work reported by Anton, et al. [1] in this journal may be an important step in the treatment algorithm of patients with alcohol use disorder (AUD). Identifying patients who need and would benefit from treatment with naltrexone [2] might help to change clinicians’ hesitancy to utilize these medications in AUD where twelve step treatment programs have renewed interest and support [3]. Modern therapeutics and personalized medication are predicated on the basis of tests or measures that can provide potential matching of safe and effective medications with the population of patients who are most likely to benefit from these therapeutic interventions. Anton’s work might help to improve the utilization of medications in not only in classical AUD but also in a wider spectrum of alcohol misusing patients. The importance of genetic testing to predict Medical Assistance Treatment (MAT) response came to prominence by the initial discovery of the DRD2 Taq A1 allele and its relationship to alcoholism [4]. In addition, it also seems essential to analyze genetic polymorphisms related to opioid and dopaminergic genes as antecedent polymorphic predictors of clinical responses to naltrexone [5]. We also applaud the efforts of Anton’s team in evaluating whether response to naltrexone depends on or is predicted by potential interactions of the OPRM1 SNP rs1799971 with the dopamine transporter gene DAT1/SLC6A3 VNTR rs28363170 or the catechol-O-methyltransferase (COMT) gene SNP rs4680. However, their interpretation based on the plethora of genetic literature related to these known polymorphisms seems to be fundamentally erroneous. In their paper, Anton, et al. [1] suggest that individuals with AUD that carry more opioid-responsive genotype (OPRM1 G carriers) respond better to naltrexone. Although the latter is true concerning better clinical outcome with naltrexone, their interpretations concerning their results are somewhat perplexing because it is well known that carriers of the OPRM1 G have reduced mu-opioid receptors with blunted functional responses, but not the opposite [6-8]. Specifically, the G allele, the risk variant of the MOR 118A>G (p.Asn40Asp; SNP rs1799971), promotes a low dopamine function because there is a lack of inhibition via the GABA inhibitory control of dopamine release at the nucleus accumbens (NAc), thus inducing hypodopaminergia in this brain region associated with the reward circuitry [9] While Anton, et al. [1] characterized the COMT SNP rs4680 with Val /Val homozygous as having reduced dopaminergic tone [10] they mischaracterized the DAT1 DAT1/SLC6A3 VNTR rs28363170 9 allele compared to 10 allele as having higher dopamine tone in comparison to the normal 10 allele. This is, indeed, not the case since it is well known that the 9 allele has a higher transporter availability which translates to increase re-uptake of dopamine back into the axon terminal leading to a hypodopaminergic state, not the other way around [11-13]. The findings relative to the OPRM1 SNP rs1799971 and COMT) gene SNP rs4680 having lower dopamine tone is not unexpected. However, the observation regarding the DAT1 9vs 10 allele is not in agreement with these two polymorphic genes. It should have followed, based on the accumulated evidence, that the 9 allele would have shown better response to naltrexone for AUD. While we are not disputing their results, we are concerned about their interpretation. We believe that they should continue this important work but also consider genotyping for the DRD2 Taq A1 allele as well. Our argument is consistent with the findings of Ritchie, et al. [14] who reported that, when subjects were grouped by the presence or absence of the A1 (minor) allele of the D2 dopamine receptor gene, [3H] naloxone binding was lower in all brain regions of subjects with the A1 allele than in those without this allele, with a significant difference in the caudate nucleus. A similar association with the DRD2 A1 allele will further support the hypothesis that lower dopamine tone results in a better treatment outcome with naltrexone. The concept is consistent with the idea that patients with hypodopaminergia will do better than those with normal dopaminergic status as observed earlier from Nobles group [14] Specifically, Lawford, et al., [15] in a double-blind study, bromocriptine, a DRD2 agonist, or placebo was administered to alcoholics with either the A1 (A1/A1 and A1/A2 genotypes) or only the A2 (A2/A2 genotype) allele of the DRD2 gene. The greatest improvement in craving and anxiety occurred in the bromocriptine-treated A1 alcoholics and attrition was highest in the placebo-treated A1 alcoholics. The idea that lower dopamine tone not higher dopamine tone displays a preferential better clinical outcome has been shown by others [16] revealing that carriers of the DRD2 A1 allele show a higher Pearson’s Correlation with improved compliance in the number of days of treatment with pro-dopamine regulation therapy for addictive behavior. The notion that lowers dopamine tone due to certain genetic polymorphisms including the 9 allele rather than the 10 allele of the DAT1 gene is evident from the existing literature. Thus, to reiterate, specially showing increased frequency of individuals carrying the allele A9 [f(A9+)] displaying significantly higher in the group of alcoholics [f(A9+) compared with healthy controls [17,18] raises these obvious interpretative concerns. Once again, our group applaud the work of Anton, et al. [1], and encourage more work from them and other researchers in the field to personalized treatment for substance use disorders in general [19] and AUDs as described in their study. Personalized or Precision medicine can be applied to AUD and simplify the conflicting guidance and treatment algorithms in use today. Genetic addiction risk testing as a front line tool to reduce guesswork in terms of treatment choice and conviction for MAT therapy.
  18 in total

1.  Gene polymorphisms of OPRM1 A118G and ABCB1 C3435T may influence opioid requirements in Chinese patients with cancer pain.

Authors:  Xiao-Di Gong; Jiong-Yi Wang; Feng Liu; Hai-Hua Yuan; Wen-Ying Zhang; Yue-Hui Guo; Bin Jiang
Journal:  Asian Pac J Cancer Prev       Date:  2013

Review 2.  Association between the catechol-O-methyltransferase (COMT) Val158Met polymorphism and motor behavior in healthy adults: A study review.

Authors:  Nathálya Gardênia de Holanda Marinho Nogueira; Mariane Faria Braga Bacelar; Bárbara de Paula Ferreira; Juliana Otoni Parma; Guilherme Menezes Lage
Journal:  Brain Res Bull       Date:  2018-11-13       Impact factor: 4.077

3.  Increased dopamine transporter availability associated with the 9-repeat allele of the SLC6A3 gene.

Authors:  Christopher H van Dyck; Robert T Malison; Leslie K Jacobsen; John P Seibyl; Julie K Staley; Marc Laruelle; Ronald M Baldwin; Robert B Innis; Joel Gelernter
Journal:  J Nucl Med       Date:  2005-05       Impact factor: 10.057

4.  LG839: anti-obesity effects and polymorphic gene correlates of reward deficiency syndrome.

Authors:  Kenneth Blum; Amanda L C Chen; Thomas J H Chen; Patrick Rhoades; Thomas J Prihoda; B William Downs; Roger L Waite; Lonna Williams; Eric R Braverman; Dasha Braverman; Vanessa Arcuri; Mallory Kerner; Seth H Blum; Tomas Palomo
Journal:  Adv Ther       Date:  2008-09       Impact factor: 3.845

5.  Striatal dopamine transporter availability associated with polymorphisms in the dopamine transporter gene SLC6A3.

Authors:  Elisabeth M van de Giessen; Maartje M L de Win; Michael W T Tanck; Wim van den Brink; Frank Baas; Jan Booij
Journal:  J Nucl Med       Date:  2008-12-17       Impact factor: 10.057

6.  Functional effects of dopamine transporter gene genotypes on in vivo dopamine transporter functioning: a meta-analysis.

Authors:  S V Faraone; T J Spencer; B K Madras; Y Zhang-James; J Biederman
Journal:  Mol Psychiatry       Date:  2013-09-24       Impact factor: 15.992

7.  Opioid and Dopamine Genes Interact to Predict Naltrexone Response in a Randomized Alcohol Use Disorder Clinical Trial.

Authors:  Raymond F Anton; Konstantin E Voronin; Sarah W Book; Patricia K Latham; Patrick K Randall; Willam Bailey Glen; Michaela Hoffman; Joseph P Schacht
Journal:  Alcohol Clin Exp Res       Date:  2020-09-19       Impact factor: 3.455

Review 8.  Genetic addiction risk score (GARS) ™, a predictor of vulnerability to opioid dependence.

Authors:  Kenneth Blum; Amanda L C Chen; Panayotis K Thanos; Marcelo Febo; Zsolt Demetrovics; Kristina Dushaj; Abraham Kovoor; David Baron; David E Smith; Alphonso Kenison Roy; Lyle Fried; Thomas J H Chen; Edwin Chapman; Edward J Modestino; Bruce Steinberg; Rajendra D Badgaiyan
Journal:  Front Biosci (Elite Ed)       Date:  2018-01-01

9.  Alcoholics Anonymous and other 12-step programs for alcohol use disorder.

Authors:  John F Kelly; Keith Humphreys; Marica Ferri
Journal:  Cochrane Database Syst Rev       Date:  2020-03-11
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