Hostname: page-component-8448b6f56d-gtxcr Total loading time: 0 Render date: 2024-04-25T06:11:01.213Z Has data issue: false hasContentIssue false

From genes to treatment: The effect of polymorphisms in neurotransmitter systems on addictive behaviour, neural response and relapse

Published online by Cambridge University Press:  23 March 2020

P. Bach*
Affiliation:
Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Department of Addictive Behavior and Addiction Medicine, Mannheim, Germany
S. Vollstädt-Klein
Affiliation:
Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Department of Addictive Behavior and Addiction Medicine, Mannheim, Germany
M. Kirsch
Affiliation:
Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Department of Addictive Behavior and Addiction Medicine, Mannheim, Germany
S. Hoffmann
Affiliation:
Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Department of Addictive Behavior and Addiction Medicine, Mannheim, Germany
A. Jorde
Affiliation:
Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Department of Addictive Behavior and Addiction Medicine, Mannheim, Germany
J. Frank
Affiliation:
Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Department of Genetic Epidemiology in Psychiatry, Mannheim, Germany
K. Charlet
Affiliation:
Charité, Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Berlin, Germany
A. Beck
Affiliation:
Charité, Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Berlin, Germany
A. Heinz
Affiliation:
Charité, Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Berlin, Germany
H. Walter
Affiliation:
Charité, Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Berlin, Germany
M. Rietschel
Affiliation:
Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Department of Genetic Epidemiology in Psychiatry, Mannheim, Germany
F. Kiefer
Affiliation:
Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Department of Addictive Behavior and Addiction Medicine, Mannheim, Germany
*
* Corresponding author.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

The development and maintenance of an alcohol addiction is a complex interaction between genetic and environmental factors. Genetic effects seem to contribute substantially to the risk of developing an addiction, but also to its course and patients’ responses to different treatments. Recent studies identified associations between polymorphisms in the genes of glutamate and μ-opioid receptors and addiction risk. Those receptors are of special interest, because they are targets of therapeutic agents, such as acamprosate and topiramate.

Objectives and aims

Several studies were conducted, in order to further determine the effects of genetic polymorphisms in glutamate and opioid receptor genes on addictive behavior, neural response to alcohol cues and relapse risk.

Methods

Genetic effects were investigated in samples of alcohol-dependent patients using functional imaging techniques, neuropsychological tests and follow-up investigation after standard clinical treatment. Data on clinical parameters, neuronal response to alcohol cues, functional neuronal connectivity and relapse risk were collected and analyzed.

Results

Results demonstrate effects of genetic polymorphisms in glutamate and opioid receptors on neuronal response to alcohol cues in frontal and mesolimbic brain areas, subjective craving and time to first relapse. Current findings will be discussed in the light of existing evidence on the contribution of genetic effects to treatment outcome and patient stratification.

Conclusions

The investigation of genetic risk factors and mechanisms by which they affect addiction related phenotypes seems to be a promising tool to identify molecular treatment targets and predictors for successful treatment strategies.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

Type
S82
Copyright
Copyright © European Psychiatric Association 2016
Submit a response

Comments

No Comments have been published for this article.