Acamprosate is a Food and Drug Administration (FDA) approved medication for the treatment of alcohol use disorder (AUD). However, only a subset of patients achieves optimal treatment outcomes. Currently, no biological measures are utilized to predict response to acamprosate treatment. We applied our established pharmaco-omics informed genomics strategy to identify potential biomarkers associated with acamprosate treatment response. Specifically, our previous open-label acamprosate clinical trial recruited 442 patients with AUD who were treated with acamprosate for three months. We first performed proteomics using baseline plasma samples to identify potential biomarkers associated with acamprosate treatment outcomes. Next, we applied our established "proteomics-informed genome-wide association study (GWAS)" research strategy, and identified 12 proteins, including interleukin-17 receptor B (IL17RB), associated with acamprosate treatment response. A GWAS for IL17RB concentrations identified several genome-wide significant signals. Specifically, the top hit single nucleotide polymorphism (SNP) rs6801605 with a minor allele frequency of 38% in the European American population mapped 4 kilobase (Kb) upstream of IL17RB, and intron 1 of the choline dehydrogenase (CHDH) gene on chromosome 3 (p: 4.8E-20). The variant genotype (AA) for the SNP rs6801605 was associated with lower IL17RB protein expression. In addition, we identified a series of genetic variants in IL17RB that were associated with acamprosate treatment outcomes. Furthermore, the variantgenotypes for all of those IL17RB SNPs were protective for alcohol relapse. Finally, we demonstrated that the basal level of mRNA expression of IL17RB was inversely correlated with those of nuclear factor-κB (NF-κB) subunits, and a significantly higher expression of NF-κB subunits was observed in AUD patients who relapsed to alcohol use. In summary, this study illustrates that IL17RB genetic variants might contribute to acamprosate treatment outcomes. This series of studies represents an important step toward generating functional hypotheses that could be tested to gain insight into mechanisms underlying acamprosate treatment response phenotypes. (The ClinicalTrials.gov Identifier: NCT00662571).
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http://dx.doi.org/10.1016/j.bbi.2024.06.007 | DOI Listing |
Expert Opin Pharmacother
December 2024
Forel Clinic, Addiction Treatment Center, Switzerland.
Introduction: Alcohol use disorder (AUD) is prevalent and recognized as a chronic, relapsing disorder. Even though effective treatment options are available, AUD is strongly undertreated. As adjuvant treatment strategies accompanying psychosocial treatments, pharmacological strategies can increase the efficacy of AUD treatment options.
View Article and Find Full Text PDFAnn Ist Super Sanita
December 2024
Dipartimento di Medicina Traslazionale e per la Romagna, Università di Ferrara, Ferrara, Italy.
Introduction: Disulfiram (DF), acamprosate, naltrexone, baclofen and sodium oxybate (SO) are currently the medications approved for the treatment of alcohol use disorder (AUD). In this context, combined pharmacological interventions and sex differences are an interesting area in the treatment of non-responder AUD patients.
Aim: To evaluate the efficacy of SO in combination with DF in maintaining alcohol abstinence in patients with AUD who failed to achieve abstinence either with SO or DF alone.
BMJ Open
December 2024
Department of Addictions, King's College London Institute of Psychiatry Psychology and Neuroscience, London, UK.
Am J Prev Med
November 2024
Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Introduction: Despite the heavy toll of alcohol use disorder (AUD) in the U.S., efficacious medications for AUD (MAUD) are rarely used.
View Article and Find Full Text PDFAlcohol Clin Exp Res (Hoboken)
November 2024
Waggoner Center for Alcohol and Addiction Research, University of Texas at Austin, Austin, Texas, USA.
This critical review summarizes the current state of omics-based biomarkers in the alcohol research field. We first provide definitions and background information on alcohol and alcohol use disorder (AUD), biomarkers, and "omic" technologies. We next summarize using (1) genetic information as risk/prognostic biomarkers for the onset of alcohol-related problems and the progression from regular drinking to problematic drinking (including AUD), (2) epigenetic information as diagnostic biomarkers for AUD and risk biomarkers for alcohol consumption, (3) transcriptomic information as diagnostic biomarkers for AUD, risk biomarkers for alcohol consumption, and (4) metabolomic information as diagnostic biomarkers for AUD, risk biomarkers for alcohol consumption, and predictive biomarkers for response to acamprosate in subjects with AUD.
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