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Peeters LD, Wills LJ, Cuozzo AM, Ahmed CD, Massey SR, Chen W, Chen Z, Wang C, Gass JT, Brown RW. Effects of positive mGlu5 modulation on D 2 signaling and nicotine-conditioned place preference: Mechanisms of epigenetic inheritance in a transgenerational model of drug abuse vulnerability in psychosis. J Psychopharmacol 2025; 39:265-281. [PMID: 39462877 PMCID: PMC11845308 DOI: 10.1177/02698811241292902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/29/2024]
Abstract
BACKGROUND The metabotropic glutamate type 5 (mGlu5) receptor has emerged as a potential target for the treatment of psychosis that is suggested to have greater efficacy than antipsychotic medications that are currently utilized. AIMS This study sought to elucidate mechanisms of therapeutic action associated with the modulation of the mGlu5 receptor in a disordered system marked by dopamine dysfunction. We further explored epigenetic mechanisms contributing to heritable transmission of a psychosis-like phenotype in a novel heritable model of drug abuse vulnerability in psychosis. METHODS F1 generation male and female Sprague-Dawley rats that were the offspring of two neonatal quinpirole-treated (QQ) or two saline-treated (SS) animals were tested on nicotine-conditioned place preference (CPP). Regulators of G protein signaling 9 (RGS9) and β-arrestin 2 (βA2), which mediate dopamine (DA) D2 signaling, were measured in the nucleus accumbens shell, prelimbic and infralimbic cortices. Reduced Representation Bisulfite Sequencing (RRBS) was used to analyze the cytosine methylation in these brain regions. RESULTS Pretreatment with the mGlu5-positive allosteric modulator 3-Cyano-N-(1,3-diphenyl-1H-pyrazol-5-yl)benzamide (CDPPB) 20 min prior to conditioning trials blocked enhanced nicotine CPP and mitigated aberrant G protein-dependent and -independent signaling in QQ animals. RRBS analysis revealed region-specific changes in several pathways, including nicotine addiction, dopamine synapses, and neural connectivity. CONCLUSIONS These results reveal an important region-specific mechanism of action for CDPPB in a system marked by enhanced DAD2 receptor signaling. Results additionally reveal DNA methylation as an epigenetic mechanism of heritability, further validating the current model as a useful tool for the study of psychosis and comorbid nicotine use.
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Affiliation(s)
- Loren D Peeters
- Department of Biomedical Sciences, East Tennessee State University, Johnson City, TN, USA
| | - Liza J Wills
- Department of Biomedical Sciences, East Tennessee State University, Johnson City, TN, USA
| | - Anthony M Cuozzo
- Department of Biomedical Sciences, East Tennessee State University, Johnson City, TN, USA
| | - Cristal D Ahmed
- Department of Biomedical Sciences, East Tennessee State University, Johnson City, TN, USA
| | - Samuel R Massey
- Department of Biomedical Sciences, East Tennessee State University, Johnson City, TN, USA
| | - Wanqiu Chen
- Center for Genomics and Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Zhong Chen
- Center for Genomics and Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Charles Wang
- Center for Genomics and Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Justin T Gass
- Department of Biomedical Sciences, East Tennessee State University, Johnson City, TN, USA
| | - Russell W Brown
- Department of Biomedical Sciences, East Tennessee State University, Johnson City, TN, USA
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2
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Thompson MD, Reiner-Link D, Berghella A, Rana BK, Rovati GE, Capra V, Gorvin CM, Hauser AS. G protein-coupled receptor (GPCR) pharmacogenomics. Crit Rev Clin Lab Sci 2024; 61:641-684. [PMID: 39119983 DOI: 10.1080/10408363.2024.2358304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 09/03/2023] [Accepted: 05/18/2024] [Indexed: 08/10/2024]
Abstract
The field of pharmacogenetics, the investigation of the influence of one or more sequence variants on drug response phenotypes, is a special case of pharmacogenomics, a discipline that takes a genome-wide approach. Massively parallel, next generation sequencing (NGS), has allowed pharmacogenetics to be subsumed by pharmacogenomics with respect to the identification of variants associated with responders and non-responders, optimal drug response, and adverse drug reactions. A plethora of rare and common naturally-occurring GPCR variants must be considered in the context of signals from across the genome. Many fundamentals of pharmacogenetics were established for G protein-coupled receptor (GPCR) genes because they are primary targets for a large number of therapeutic drugs. Functional studies, demonstrating likely-pathogenic and pathogenic GPCR variants, have been integral to establishing models used for in silico analysis. Variants in GPCR genes include both coding and non-coding single nucleotide variants and insertion or deletions (indels) that affect cell surface expression (trafficking, dimerization, and desensitization/downregulation), ligand binding and G protein coupling, and variants that result in alternate splicing encoding isoforms/variable expression. As the breadth of data on the GPCR genome increases, we may expect an increase in the use of drug labels that note variants that significantly impact the clinical use of GPCR-targeting agents. We discuss the implications of GPCR pharmacogenomic data derived from the genomes available from individuals who have been well-phenotyped for receptor structure and function and receptor-ligand interactions, and the potential benefits to patients of optimized drug selection. Examples discussed include the renin-angiotensin system in SARS-CoV-2 (COVID-19) infection, the probable role of chemokine receptors in the cytokine storm, and potential protease activating receptor (PAR) interventions. Resources dedicated to GPCRs, including publicly available computational tools, are also discussed.
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Affiliation(s)
- Miles D Thompson
- Krembil Brain Institute, Toronto Western Hospital, Toronto, Ontario, Canada
| | - David Reiner-Link
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Alessandro Berghella
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Brinda K Rana
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - G Enrico Rovati
- Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy
| | - Valerie Capra
- Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy
| | - Caroline M Gorvin
- Institute of Metabolism and Systems Research (IMSR), University of Birmingham, Birmingham, United Kingdom
| | - Alexander S Hauser
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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3
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Yang J, Wang H, Chen H, Hou H, Hu Q. The association of genetic polymorphisms within the dopaminergic system with nicotine dependence: A narrative review. Heliyon 2024; 10:e33158. [PMID: 39021905 PMCID: PMC11253068 DOI: 10.1016/j.heliyon.2024.e33158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 06/08/2024] [Accepted: 06/14/2024] [Indexed: 07/20/2024] Open
Abstract
Nicotine, the main compound in cigarettes, leads to smoking addiction. Nicotine acts on the limbic dopamine reward loop in the midbrain by binding to nicotinic acetylcholine receptors, promoting the release of dopamine, and resulting in a rewarding effect or satisfaction. This satisfaction is essential for continued and compulsive tobacco use, and therefore dopamine plays a crucial role in nicotine dependence. Numerous studies have identified genetic polymorphisms of dopaminergic pathways which may influence susceptibility to nicotine addiction. Dopamine levels are greatly influenced by synthesis, storage, release, degradation, and reuptake-related genes, including genes encoding tyrosine hydroxylase, dopamine decarboxylase, dopamine transporter, dopamine receptor, dopamine 3-hydroxylase, catechol-O-methyltransferase, and monoamine oxidase. In this paper, we review research progress on the effects of polymorphisms in the above genes on downstream smoking behavior and nicotine dependence, to offer a theoretical basis for the elucidation of the genetic mechanism underlying nicotine dependence and future personalized treatment for smoking cessation.
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Affiliation(s)
- Jingjing Yang
- China National Tobacco Quality Supervision & Test Center, Zhengzhou, 450001, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, 450001, China
- Beijing Life Science Academy, Beijing, 102209, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, 102209, China
| | - Hongjuan Wang
- China National Tobacco Quality Supervision & Test Center, Zhengzhou, 450001, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, 450001, China
- Beijing Life Science Academy, Beijing, 102209, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, 102209, China
| | - Huan Chen
- China National Tobacco Quality Supervision & Test Center, Zhengzhou, 450001, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, 450001, China
- Beijing Life Science Academy, Beijing, 102209, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, 102209, China
| | - Hongwei Hou
- China National Tobacco Quality Supervision & Test Center, Zhengzhou, 450001, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, 450001, China
- Beijing Life Science Academy, Beijing, 102209, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, 102209, China
| | - Qingyuan Hu
- China National Tobacco Quality Supervision & Test Center, Zhengzhou, 450001, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, 450001, China
- Beijing Life Science Academy, Beijing, 102209, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, 102209, China
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Hamilton PJ, Lim CJ, Nestler EJ, Heller EA. Neuroepigenetic Editing. Methods Mol Biol 2024; 2842:129-152. [PMID: 39012593 PMCID: PMC11520296 DOI: 10.1007/978-1-0716-4051-7_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
Epigenetic regulation is intrinsic to basic neurobiological function as well as neurological disease. Regulation of chromatin-modifying enzymes in the brain is critical during both development and adulthood and in response to external stimuli. Biochemical studies are complemented by numerous next-generation sequencing (NGS) studies that quantify global changes in gene expression, chromatin accessibility, histone and DNA modifications in neurons and glial cells. Neuroepigenetic editing tools are essential to distinguish between the mere presence and functional relevance of histone and DNA modifications to gene transcription in the brain and animal behavior. This review discusses current advances in neuroepigenetic editing, highlighting methodological considerations pertinent to neuroscience, such as delivery methods and the spatiotemporal specificity of editing and it demonstrates the enormous potential of epigenetic editing for basic neurobiological research and therapeutic application.
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Affiliation(s)
- Peter J Hamilton
- Department of Anatomy & Neurobiology, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Carissa J Lim
- Department of Systems Pharmacology and Translational Therapeutics, The University of Pennsylvania, Philadelphia, PA, USA
| | - Eric J Nestler
- The Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elizabeth A Heller
- Department of Systems Pharmacology and Translational Therapeutics, The University of Pennsylvania, Philadelphia, PA, USA.
- Department of Systems Pharmacology and Translational Therapeutics, Institute for Translational Medicine and Therapeutics, Philadelphia, PA, USA.
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Chang XW, Sun Y, Muhai JN, Li YY, Chen Y, Lu L, Chang SH, Shi J. Common and distinguishing genetic factors for substance use behavior and disorder: an integrated analysis of genomic and transcriptomic studies from both human and animal studies. Addiction 2022; 117:2515-2529. [PMID: 35491750 DOI: 10.1111/add.15908] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Accepted: 04/04/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND AIMS Genomic and transcriptomic findings greatly broaden the biological knowledge regarding substance use. However, systematic convergence and comparison evidence of genome-wide findings is lacking for substance use. Here, we combined all the genome-wide findings from both substance use behavior and disorder (SUBD) and identified common and distinguishing genetic factors for different SUBDs. METHODS Systemic literature search for genome-wide association (GWAS) and RNA-seq studies of alcohol/nicotine/drug use behavior (partially meets or not reported diagnostic criteria) and alcohol use behavior and disorder (AUBD), nicotine use behavior and disorder (NUBD) and drug use behavior and disorder (DUBD) was performed using PubMed and the GWAS catalog. Drug use was focused upon cannabis, opioid, cocaine and methamphetamine use. GWAS studies required case-control or case/cohort samples. RNA-seq studies were based on brain tissues. The genes which contained significant single nucleotide polymorphism (P ≤ 1 × 10-6 ) in GWAS and reported as significant in RNA-seq studies were extracted. Pathway enrichment was performed by using Metascape. Gene interaction networks were identified by using the Protein Interaction Network Analysis database. RESULTS Total SUBD-related 2910 genes were extracted from 75 GWAS studies (2 773 889 participants) and 17 RNA-seq studies. By overlapping the genes and pathways of AUBD, NUBD and DUBD, four shared genes (CACNB2, GRIN2B, PLXDC2 and PKNOX2), four shared pathways [two Gene Ontology (GO) terms of 'modulation of chemical synaptic transmission', 'regulation of trans-synaptic signaling', two Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of 'dopaminergic synapse', 'cocaine addiction'] were identified (significantly higher than random, P < 1 × 10-5 ). The top shared KEGG pathways (Benjamini-Hochberg-corrected P-value < 0.05) in the pairwise comparison of AUBD versus DUBD, NUBD versus DUBD, AUBD versus NUBD were 'Epstein-Barr virus infection', 'protein processing in endoplasmic reticulum' and 'neuroactive ligand-receptor interaction', respectively. We also identified substance-specific genetic factors: i.e. ADH1B and ALDH2 were unique for AUBD, while CHRNA3 and CHRNA4 were unique for NUBD. CONCLUSIONS This systematic review identifies the shared and unique genes and pathways for alcohol, nicotine and drug use behaviors and disorders at the genome-wide level and highlights critical biological processes for the common and distinguishing vulnerability of substance use behaviors and disorders.
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Affiliation(s)
- Xiang-Wen Chang
- Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.,National Institute on Drug Dependence, Peking University, Beijing, China
| | - Yan Sun
- Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.,National Institute on Drug Dependence, Peking University, Beijing, China
| | - Jia-Na Muhai
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yang-Yang Li
- Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.,National Institute on Drug Dependence, Peking University, Beijing, China
| | - Yun Chen
- Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.,National Institute on Drug Dependence, Peking University, Beijing, China
| | - Lin Lu
- National Institute on Drug Dependence, Peking University, Beijing, China.,Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Su-Hua Chang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Jie Shi
- National Institute on Drug Dependence, Peking University, Beijing, China.,Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing, China.,The State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing, China.,The Key Laboratory for Neuroscience of the Ministry of Education and Health, Peking University, Beijing, China
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6
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Analyses of polymorphisms of intron 2 of OPRK1 (kappa-opioid receptor gene) in association with opioid and cocaine dependence diagnoses in an African-American population. Neurosci Lett 2022; 768:136364. [PMID: 34843875 DOI: 10.1016/j.neulet.2021.136364] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 11/19/2021] [Accepted: 11/22/2021] [Indexed: 11/21/2022]
Abstract
RATIONALE The dynorphin/kappa-opioid receptor (KOR) system (encoded by PDYN and OPRK1 genes respectively) is highly regulated by repeated exposure to drugs of abuse, including mu-opioid agonists and cocaine. These changes in the dynorphin/KOR system can then influence the rewarding effects of these drugs of abuse. Activation of the dynorphin/KOR system is also thought to have a role in the pro-addictive effects of stress. Recent in vitro assays showed that the OPRK1 intron 2 may function as a genomic enhancer in the regulation KOR expression, and contains a glucocorticiod-responsive sequence site. We hypothesize that SNPs in intron 2 of OPRK1 are associated with categorical opioid or cocaine dependence diagnoses, as well as with dimensional aspects of drug use (i.e., magnitude of drug exposure). METHODS This study includes 577 subjects ≥ 18 years old, with African ancestry (AA) from the USA. They were divided into three groups: 152 control subjects, 142 persons with lifetime opioid dependence diagnosis (OD), and 283 subjects with lifetime cocaine dependence diagnosis (CD). Five SNPs (rs16918909, rs7016778, rs997917, rs6473797, rs10111937) that span 10 Kb nucleotides in intron 2 of OPRK1 were used for the association analyses. Genotyping was performed with the Smokescreen® array or sequencing of PCR-amplified DNA fragments. Association analyses for OD and CD diagnoses and the OPRK1 intron 2 alleles were carried out with Fisher's exact test. The Kreek-McHugh-Schluger-Kellogg (KMSK) scales were used for dimensional measure of maximum exposure to specific drugs, using Mann-Whitney tests. RESULTS Two SNPs, rs997917 and rs10111937 showed point-wise significant allelic association (p < 0.05) with CD diagnosis, and rs10111937 showed a point-wise significance in association with OD. None of these single SNP associations with categorical diagnoses were significant after correction for multiple testing (pcorr > 0.05). However, significant associations of several genotype patterns (diplotypes) were found with cocaine dependence, but none for opioid dependence. The most significant genotype pattern with cocaine dependence diagnosis occurred for rs6473797 and rs10111937 (pcorr = 0.036, odds ratio = 1.92, FDR < 0.05), and survived correction for multiple testing. Dimensional analyses with KMSK scores show that persons with either rs997917 or rs10111937 variants had greater exposure to cocaine, compared to those with prototype allele (Mann-Whitney tests, point-wise). CONCLUSIONS This study provides additional support of potential importance of regulatory regions of intron 2 of the OPRK1 gene in development of cocaine and opioid dependence diagnoses, in a population with African-American ancestry.
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Jordan CJ, Xi ZX. Identification of the Risk Genes Associated With Vulnerability to Addiction: Major Findings From Transgenic Animals. Front Neurosci 2022; 15:811192. [PMID: 35095405 PMCID: PMC8789752 DOI: 10.3389/fnins.2021.811192] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 12/14/2021] [Indexed: 12/21/2022] Open
Abstract
Understanding risk factors for substance use disorders (SUD) can facilitate medication development for SUD treatment. While a rich literature exists discussing environmental factors that influence SUD, fewer articles have focused on genetic factors that convey vulnerability to drug use. Methods to identify SUD risk genes include Genome-Wide Association Studies (GWAS) and transgenic approaches. GWAS have identified hundreds of gene variants or single nucleotide polymorphisms (SNPs). However, few genes identified by GWAS have been verified by clinical or preclinical studies. In contrast, significant progress has been made in transgenic approaches to identify risk genes for SUD. In this article, we review recent progress in identifying candidate genes contributing to drug use and addiction using transgenic approaches. A central hypothesis is if a particular gene variant (e.g., resulting in reduction or deletion of a protein) is associated with increases in drug self-administration or relapse to drug seeking, this gene variant may be considered a risk factor for drug use and addiction. Accordingly, we identified several candidate genes such as those that encode dopamine D2 and D3 receptors, mGluR2, M4 muscarinic acetylcholine receptors, and α5 nicotinic acetylcholine receptors, which appear to meet the risk-gene criteria when their expression is decreased. Here, we describe the role of these receptors in drug reward and addiction, and then summarize major findings from the gene-knockout mice or rats in animal models of addiction. Lastly, we briefly discuss future research directions in identifying addiction-related risk genes and in risk gene-based medication development for the treatment of addiction.
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Affiliation(s)
- Chloe J. Jordan
- Division of Alcohol, Drugs and Addiction, Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, MA, United States
- *Correspondence: Chloe J. Jordan,
| | - Zheng-Xiong Xi
- Molecular Targets and Medications Discovery Branch, National Institute on Drug Abuse, Intramural Research Program, Baltimore, MD, United States
- Zheng-Xiong Xi,
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Fernàndez-Castillo N, Cabana-Domínguez J, Corominas R, Cormand B. Molecular genetics of cocaine use disorders in humans. Mol Psychiatry 2022; 27:624-639. [PMID: 34453125 PMCID: PMC8960411 DOI: 10.1038/s41380-021-01256-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 07/01/2021] [Accepted: 07/30/2021] [Indexed: 12/11/2022]
Abstract
Drug addiction, one of the major health problems worldwide, is characterized by the loss of control in drug intake, craving, and withdrawal. At the individual level, drugs of abuse produce serious consequences on health and have a negative impact on the family environment and on interpersonal and work relationships. At a wider scale, they have significant socio-economic and public health consequences and they cause delinquency and citizen insecurity. Cocaine, a psychostimulant substance, is one of the most used illicit drugs, especially in America, Western Europe, and Australia. Cocaine use disorders (CUD) are complex multifactorial conditions driven by both genetic and environmental influences. Importantly, not all people who use cocaine develop CUD, and this is due, at least in part, to biological factors that are encoded in the genome of individuals. Acute and repeated use of cocaine induces epigenetic and gene expression changes responsible for the neuronal adaptations and the remodeling of brain circuits that lead to the transition from use to abuse or dependence. The purpose of this review is to delineate such factors, which should eventually help to understand the inter-individual variability in the susceptibility to cocaine addiction. Heritability estimates for CUD are high and genetic risk factors for cocaine addiction have been investigated by candidate gene association studies (CGAS) and genome-wide association studies (GWAS), reviewed here. Also, the high comorbidity that exists between CUD and several other psychiatric disorders is well known and includes phenotypes like schizophrenia, aggression, antisocial or risk-taking behaviors. Such comorbidities are associated with a worse lifetime trajectory, and here we report shared genetic factors that may contribute to them. Gene expression changes and epigenetic modifications induced by cocaine use and chronic abuse in humans are addressed by reviewing transcriptomic studies performed on neuronal cells and on postmortem brains. We report some genes which expression is altered by cocaine that also bear genetic risk variants for the disorder. Finally, we have a glance to the pharmacogenetics of CUD treatments, still in early stages. A better understanding of the genetic underpinnings of CUD will foster the search of effective treatments and help to move forward to personalized medicine.
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Affiliation(s)
- Noèlia Fernàndez-Castillo
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain. .,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain. .,Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain. .,Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia, Spain.
| | - Judit Cabana-Domínguez
- grid.5841.80000 0004 1937 0247Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia Spain ,grid.452372.50000 0004 1791 1185Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain ,grid.5841.80000 0004 1937 0247Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia Spain ,grid.411160.30000 0001 0663 8628Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia Spain
| | - Roser Corominas
- grid.5841.80000 0004 1937 0247Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia Spain ,grid.452372.50000 0004 1791 1185Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain ,grid.5841.80000 0004 1937 0247Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia Spain ,grid.411160.30000 0001 0663 8628Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia Spain
| | - Bru Cormand
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain. .,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain. .,Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain. .,Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia, Spain.
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Bowen MT, George O, Muskiewicz DE, Hall FS. FACTORS CONTRIBUTING TO THE ESCALATION OF ALCOHOL CONSUMPTION. Neurosci Biobehav Rev 2022; 132:730-756. [PMID: 34839930 PMCID: PMC8892842 DOI: 10.1016/j.neubiorev.2021.11.017] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 11/05/2021] [Accepted: 11/12/2021] [Indexed: 01/03/2023]
Abstract
Understanding factors that contribute to the escalation of alcohol consumption is key to understanding how an individual transitions from non/social drinking to AUD and to providing better treatment. In this review, we discuss how the way ethanol is consumed as well as individual and environmental factors contribute to the escalation of ethanol consumption from intermittent low levels to consistently high levels. Moreover, we discuss how these factors are modelled in animals. It is clear a vast array of complex, interacting factors influence changes in alcohol consumption. Some of these factors act early in the acquisition of ethanol consumption and initial escalation, while others contribute to escalation of ethanol consumption at a later stage and are involved in the development of alcohol dependence. There is considerable need for more studies examining escalation associated with the formation of dependence and other hallmark features of AUD, especially studies examining mechanisms, as it is of considerable relevance to understanding and treating AUD.
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Affiliation(s)
- Michael T. Bowen
- The University of Sydney, Brain and Mind Centre, Sydney, NSW, 2050, Australia,The University of Sydney, Faculty of Science, School of Psychology, Sydney, NSW, 2006, Australia,Corresponding Author: Michael T. Bowen, Brain and Mind Centre, The University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2050, Australia,
| | - Olivier George
- Department of Psychology, University of California, San Diego, School of Medicine, La Jolla, CA, 92093, USA
| | - Dawn E. Muskiewicz
- Department of Pharmacology & Experimental Therapeutics, College of Pharmacology and Pharmacological Science, University of Toledo, OH, USA
| | - F. Scott Hall
- Department of Pharmacology & Experimental Therapeutics, College of Pharmacology and Pharmacological Science, University of Toledo, OH, USA
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10
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Cabana-Domínguez J, Martín-García E, Gallego-Roman A, Maldonado R, Fernàndez-Castillo N, Cormand B. Reduced cue-induced reinstatement of cocaine-seeking behavior in Plcb1 +/- mice. Transl Psychiatry 2021; 11:521. [PMID: 34635637 PMCID: PMC8505421 DOI: 10.1038/s41398-021-01396-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 03/24/2021] [Accepted: 04/20/2021] [Indexed: 11/28/2022] Open
Abstract
Cocaine addiction causes serious health problems, and no effective treatment is available yet. We previously identified a genetic risk variant for cocaine addiction in the PLCB1 gene and found this gene upregulated in postmortem brains of cocaine abusers and in human dopaminergic neuron-like cells after an acute cocaine exposure. Here, we functionally tested the contribution of the PLCB1 gene to cocaine addictive properties using Plcb1+/- mice. First, we performed a general phenotypic characterization and found that Plcb1+/- mice showed normal behavior, although they had increased anxiety and impaired short-term memory. Subsequently, mice were trained for operant conditioning, self-administered cocaine for 10 days, and were tested for cocaine motivation. After extinction, we found a reduction in the cue-induced reinstatement of cocaine-seeking behavior in Plcb1+/- mice. After reinstatement, we identified transcriptomic alterations in the medial prefrontal cortex of Plcb1+/- mice, mostly related to pathways relevant to addiction like the dopaminergic synapse and long-term potentiation. To conclude, we found that heterozygous deletion of the Plcb1 gene decreases cue-induced reinstatement of cocaine-seeking, pointing at PLCB1 as a possible therapeutic target for preventing relapse and treating cocaine addiction.
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Affiliation(s)
- Judit Cabana-Domínguez
- grid.5841.80000 0004 1937 0247Department de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia Spain ,grid.452372.50000 0004 1791 1185Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain ,grid.5841.80000 0004 1937 0247Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia Spain ,grid.411160.30000 0001 0663 8628Institut de Recerca Sant Joan de Déu (IR-SJD), Barcelona, Catalonia Spain
| | - Elena Martín-García
- grid.5612.00000 0001 2172 2676Laboratory of Neuropharmacology-Neurophar, Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Catalonia Spain ,grid.20522.370000 0004 1767 9005Hospital del Mar Medical Research Institute (IMIM), Barcelona, Catalonia Spain
| | - Ana Gallego-Roman
- grid.5612.00000 0001 2172 2676Laboratory of Neuropharmacology-Neurophar, Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Catalonia Spain
| | - Rafael Maldonado
- grid.5612.00000 0001 2172 2676Laboratory of Neuropharmacology-Neurophar, Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Catalonia Spain ,grid.20522.370000 0004 1767 9005Hospital del Mar Medical Research Institute (IMIM), Barcelona, Catalonia Spain
| | - Noèlia Fernàndez-Castillo
- Department de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain. .,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain. .,Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain. .,Institut de Recerca Sant Joan de Déu (IR-SJD), Barcelona, Catalonia, Spain.
| | - Bru Cormand
- Department de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain. .,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain. .,Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain. .,Institut de Recerca Sant Joan de Déu (IR-SJD), Barcelona, Catalonia, Spain.
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11
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Genetic basis of variation in cocaine and methamphetamine consumption in outbred populations of Drosophila melanogaster. Proc Natl Acad Sci U S A 2021; 118:2104131118. [PMID: 34074789 PMCID: PMC8201854 DOI: 10.1073/pnas.2104131118] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
We used Drosophila melanogaster to map the genetic basis of naturally occurring variation in voluntary consumption of cocaine and methamphetamine. We derived an outbred advanced intercross population (AIP) from 37 sequenced inbred wild-derived lines of the Drosophila melanogaster Genetic Reference Panel (DGRP), which are maximally genetically divergent, have minimal residual heterozygosity, are not segregating for common inversions, and are not infected with Wolbachia pipientis We assessed consumption of sucrose, methamphetamine-supplemented sucrose, and cocaine-supplemented sucrose and found considerable phenotypic variation for consumption of both drugs, in both sexes. We performed whole-genome sequencing and extreme quantitative trait locus (QTL) mapping on the top 10% of consumers for each replicate, sex, and condition and an equal number of randomly selected flies. We evaluated changes in allele frequencies among high consumers and control flies and identified 3,033 variants significantly (P < 1.9 × 10-8) associated with increased consumption, located in or near 1,962 genes. Many of these genes are associated with nervous system development and function, and 77 belong to a known gene-gene interaction subnetwork. We assessed the effects of RNA interference (RNAi) on drug consumption for 22 candidate genes; 17 had a significant effect in at least one sex. We constructed allele-specific AIPs that were homozygous for alternative candidate alleles for 10 single-nucleotide polymorphisms (SNPs) and measured average consumption for each population; 9 SNPs had significant effects in at least one sex. The genetic basis of voluntary drug consumption in Drosophila is polygenic and implicates genes with human orthologs and associated variants with sex- and drug-specific effects.
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12
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Elkrief L, Spinney S, Vosberg DE, Banaschewski T, Bokde ALW, Quinlan EB, Desrivières S, Flor H, Garavan H, Gowland P, Heinz A, Brühl R, Martinot JL, Paillère Martinot ML, Nees F, Papadopoulos Orfanos D, Poustka L, Hohmann S, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Pausova Z, Paus T, Huguet G, Conrod P. Endocannabinoid Gene × Gene Interaction Association to Alcohol Use Disorder in Two Adolescent Cohorts. Front Psychiatry 2021; 12:645746. [PMID: 33959052 PMCID: PMC8093566 DOI: 10.3389/fpsyt.2021.645746] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 03/02/2021] [Indexed: 12/31/2022] Open
Abstract
Genetic markers of the endocannabinoid system have been linked to a variety of addiction-related behaviors that extend beyond cannabis use. In the current study we investigate the relationship between endocannabinoid (eCB) genetic markers and alcohol use disorder (AUD) in European adolescents (14-18 years old) followed in the IMAGEN study (n = 2,051) and explore replication in a cohort of North American adolescents from Canadian Saguenay Youth Study (SYS) (n = 772). Case-control status is represented by a score of more than 7 on the Alcohol Use Disorder Identification Test (AUDIT). First a set-based test method was used to examine if a relationship between the eCB system and AUDIT case/control status exists at the gene level. Using only SNPs that are both independent and significantly associated to case-control status, we perform Fisher's exact test to determine SNP level odds ratios in relation to case-control status and then perform logistic regressions as post-hoc analysis, while considering various covariates. Generalized multifactor dimensionality reduction (GMDR) was used to analyze the most robust SNP×SNP interaction of the five eCB genes with positive AUDIT screen. While no gene-sets were significantly associated to AUDIT scores after correction for multiple tests, in the case/control analysis, 7 SNPs were significantly associated with AUDIT scores of > 7 (p < 0.05; OR<1). Two SNPs remain significant after correction by false discovery rate (FDR): rs9343525 in CNR1 (pcorrected =0.042, OR = 0.73) and rs507961 in MGLL (pcorrected = 0.043, OR = 0.78). Logistic regression showed that both rs9353525 (CNR1) and rs507961 (MGLL) remained significantly associated with positive AUDIT screens (p < 0.01; OR < 1) after correction for multiple covariables and interaction of covariable × SNP. This result was not replicated in the SYS cohort. The GMDR model revealed a significant three-SNP interaction (p = 0.006) involving rs484061 (MGLL), rs4963307 (DAGLA), and rs7766029 (CNR1) predicted case-control status, after correcting for multiple covariables in the IMAGEN sample. A binomial logistic regression of the combination of these three SNPs by phenotype in the SYS cohort showed a result in the same direction as seen in the IMAGEN cohort (BETA = 0.501, p = 0.06). While preliminary, the present study suggests that the eCB system may play a role in the development of AUD in adolescents.
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Affiliation(s)
- Laurent Elkrief
- Department of Medicine, Université de Montréal, Montreal, QC, Canada
- Centre Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC, Canada
| | - Sean Spinney
- Centre Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC, Canada
- Department of Pediatrics, Université de Montréal, Montreal, QC, Canada
| | - Daniel E. Vosberg
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany
| | - Arun L. W. Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Erin Burke Quinlan
- Centre for Population Neuroscience and Precision Medicine (PONS), SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, United States
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom
| | - Andreas Heinz
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Psychiatry and Psychotherapy, Berlin Institute of Health, Campus Charité Mitte, Berlin, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt, Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 “Trajectoires développementales en psychiatrie,” Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 “Trajectoires développementales en psychiatrie,” Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli and AP-HP. Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany
| | - Juliane H. Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N. Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Psychiatry and Psychotherapy, Berlin Institute of Health, Campus Charité Mitte, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine (PONS), SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
- PONS Research Group, Department of Psychiatry and Psychotherapy, Campus Charite Mitte, Humboldt University, Berlin, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Zdenka Pausova
- Departments of Physiology and Nutritional Science, Hospital for Sick Children, Toronto, ON, Canada
| | - Tomáš Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Guillaume Huguet
- Centre Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC, Canada
- Department of Pediatrics, Université de Montréal, Montreal, QC, Canada
| | - Patricia Conrod
- Centre Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC, Canada
- Department of Pediatrics, Université de Montréal, Montreal, QC, Canada
- Department of Psychiatry, Université de Montréal, Montréal, QC, Canada
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Hall FS, Chen Y, Resendiz-Gutierrez F. The Streetlight Effect: Reappraising the Study of Addiction in Light of the Findings of Genome-wide Association Studies. BRAIN, BEHAVIOR AND EVOLUTION 2021; 95:230-246. [PMID: 33849024 DOI: 10.1159/000516169] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 03/27/2021] [Indexed: 12/12/2022]
Abstract
Drug dependence has long been thought to have a genetic component. Research seeking to identify the genetic basis of addiction has gone through important transitions over its history, in part based upon the emergence of new technologies, but also as the result of changing perspectives. Early research approaches were largely dictated by available technology, with technological advancements having highly transformative effects on genetic research, but the limitations of technology also affected modes of thinking about the genetic causes of disease. This review explores these transitions in thinking about the genetic causes of addiction in terms of the "streetlight effect," which is a type of observational bias whereby people search for something only where it is easiest to search. In this way, the genes that were initially studied in the field of addiction genetics were chosen because they were the most "obvious," and formed current understanding of the biological mechanisms underlying the actions of drugs of abuse and drug dependence. The problem with this emphasis is that prior to the genomic era the vast majority of genes and proteins had yet to be identified, much less studied. This review considers how these initial choices, as well as subsequent choices that were also driven by technological limitations, shaped the study of the genetic basis of drug dependence. While genome-wide approaches overcame the initial biases regarding which genes to choose to study inherent in candidate gene studies and other approaches, genome-wide approaches necessitated other assumptions. These included additive genetic causation and limited allelic heterogeneity, which both appear to be incorrect. Thus, the next stage of advancement in this field must overcome these shortcomings through approaches that allow the examination of complex interactive effects, both gene × gene and gene × environment interactions. Techniques for these sorts of studies have recently been developed and represent the next step in our understanding of the genetic basis of drug dependence.
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Affiliation(s)
- F Scott Hall
- Department of Pharmacology and Experimental Therapeutics, College of Pharmacology and Pharmacological Science, University of Toledo, Toledo, Ohio, USA
| | - Yu Chen
- Department of Pharmacology and Experimental Therapeutics, College of Pharmacology and Pharmacological Science, University of Toledo, Toledo, Ohio, USA
| | - Federico Resendiz-Gutierrez
- Department of Pharmacology and Experimental Therapeutics, College of Pharmacology and Pharmacological Science, University of Toledo, Toledo, Ohio, USA
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Sun Y, Chang S, Liu Z, Zhang L, Wang F, Yue W, Sun H, Ni Z, Chang X, Zhang Y, Chen Y, Liu J, Lu L, Shi J. Identification of novel risk loci with shared effects on alcoholism, heroin, and methamphetamine dependence. Mol Psychiatry 2021; 26:1152-1161. [PMID: 31462767 DOI: 10.1038/s41380-019-0497-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Revised: 05/04/2019] [Accepted: 05/31/2019] [Indexed: 12/18/2022]
Abstract
Different substance dependences have common effects on reward pathway and molecular adaptations, however little is known regarding their shared genetic factors. We aimed to identify the risk genetic variants that are shared for substance dependence (SD). First, promising genome-wide significant loci were identified from 3296 patients (521 alcoholic/1026 heroin/1749 methamphetamine) vs 2859 healthy controls and independently replicated using 1954 patients vs 1904 controls. Second, the functional effects of promising variants on gene expression, addiction characteristics, brain structure (gray and white matter), and addiction behaviors in addiction animal models (chronic administration and self-administration) were assessed. In addition, we assessed the genetic correlation among the three SDs using LD score regression. We identified and replicated three novel loci that were associated with the common risk of heroin, methamphetamine addiction, and alcoholism: ANKS1B rs2133896 (Pmeta = 3.60 × 10-9), AGBL4 rs147247472 (Pmeta = 3.40 × 10-12), and CTNNA2 rs10196867 (Pmeta = 4.73 × 10-9). Rs2133896 in ANKS1B was associated with ANKS1B gene expression and had effects on gray matter of the left calcarine and white matter of the right superior longitudinal fasciculus in heroin dependence. Overexpression of anks1b gene in the ventral tegmental area decreased addiction vulnerability for heroin and methamphetamine in self-administration rat models. Our findings could shed light on the root cause for substance dependence and will be helpful for the development of cost-effective prevention strategies for general addiction disorders.
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Affiliation(s)
- Yan Sun
- National Institute on Drug Dependence, Peking University, 100191, Beijing, China
| | - Suhua Chang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, 100191, Beijing, China
| | - Zhen Liu
- National Institute on Drug Dependence, Peking University, 100191, Beijing, China
| | - Libo Zhang
- National Institute on Drug Dependence, Peking University, 100191, Beijing, China
| | - Fan Wang
- The Second Affiliated Hospital, Xinjiang Medical University, 830063, Urumqi, China
- Beijing Hui Long Guan Hospital, 100096, Beijing, China
| | - Weihua Yue
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, 100191, Beijing, China
| | - Hongqiang Sun
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, 100191, Beijing, China
| | - Zhaojun Ni
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, 100191, Beijing, China
| | - Xiangwen Chang
- National Institute on Drug Dependence, Peking University, 100191, Beijing, China
| | - Yibing Zhang
- National Institute on Drug Dependence, Peking University, 100191, Beijing, China
| | - Yang Chen
- National Institute on Drug Dependence, Peking University, 100191, Beijing, China
| | - Jiqiang Liu
- Beijing Compass Biotechnology Company, 102206, Beijing, China
| | - Lin Lu
- National Institute on Drug Dependence, Peking University, 100191, Beijing, China
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, 100191, Beijing, China
| | - Jie Shi
- National Institute on Drug Dependence, Peking University, 100191, Beijing, China.
- Beijing Key Laboratory of Drug Dependence Research, Peking University, 100191, Beijing, China.
- The State Key Laboratory of Natural and Biomimetic Drugs, Peking University, 100191, Beijing, China.
- The Key Laboratory for Neuroscience of the Ministry of Education and Health, Peking University, 100191, Beijing, China.
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15
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Agyapong VIO, Hrabok M, Vuong W, Gusnowski A, Shalaby R, Surood S, Greenshaw AJ, Aulakh A, Abba-Aji A, Singh M. Implementation and Evaluation of a Text Message-Based Addiction Counseling Program (Text4Hope-Addiction Support): Protocol for a Questionnaire Study. JMIR Res Protoc 2020; 9:e22047. [PMID: 33200993 PMCID: PMC7709002 DOI: 10.2196/22047] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 09/12/2020] [Accepted: 09/24/2020] [Indexed: 01/29/2023] Open
Abstract
Background With the emergence of the COVID-19 pandemic, providing counseling to people with drug or alcohol addiction while maintaining physical distance has been challenging. This protocol describes the use of text messaging (as used in the Text4Hope-Addiction Support program) as a convenient, evidence-based, cost-effective, and accessible population-level mental health intervention with high user satisfaction proven in prior research. Objective The project goal is to implement a program of daily supportive text messaging (Text4Hope-Addiction Support) to reduce drug or alcohol cravings as well as anxiety and depression, typically associated with alcohol and substance use disorders. The aim of this study is to evaluate the prevalence of cravings, anxiety, and depressive symptoms; demographic correlates of the same; and the outcomes of the Text4Hope-Addiction Support intervention in mitigating cravings, anxiety, and depressive symptoms. Methods Self-administered, anonymous, online questionnaires will be used to assess cravings for the primary substance of addiction (Brief Substance Craving Scale), anxiety (Generalized Anxiety Disorder-7), and depressive symptoms (Patient Health Questionnaire-9). Data will be collected at baseline (onset of receiving text messages), program midpoint (6 weeks), and program end (12 weeks). Results As of October 2020, data collection is in progress; and it is expected to be completed by fall 2021. Data analysis will include parametric and nonparametric techniques, focusing on primary outcomes (ie, cravings, anxiety, and depressive symptoms) and metrics of use, including the number of subscribers and user satisfaction. Conclusions This Text4Hope-Addiction Support project will provide key information regarding the prevalence rates of cravings, anxiety, and depressive symptoms among persons with alcohol and substance use disorders; demographic correlates of cravings, anxiety, and depression; and outcome data related to this scalable population-level intervention. Information from this study will be valuable for addiction care practitioners; it will inform the policy and decision making regarding population-level addiction treatment and support during emergencies. International Registered Report Identifier (IRRID) DERR1-10.2196/22047
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Affiliation(s)
- Vincent Israel Opoku Agyapong
- Division of Community Psychiatry, Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | | | | | | | - Reham Shalaby
- Division of Community Psychiatry, Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | | | - Andrew J Greenshaw
- Division of Community Psychiatry, Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Avininder Aulakh
- Division of Community Psychiatry, Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Adam Abba-Aji
- Division of Community Psychiatry, Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Mohit Singh
- Division of Community Psychiatry, Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
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Cadoni C, De Felice M, Corongiu S, Dessì C, Espa E, Melis M, Fenu S. Role of genetic background in the effects of adolescent nicotine exposure on mesolimbic dopamine transmission. Addict Biol 2020; 25:e12803. [PMID: 31342609 DOI: 10.1111/adb.12803] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 05/15/2019] [Accepted: 05/31/2019] [Indexed: 02/06/2023]
Abstract
Smoking during adolescence may increase the likelihood to develop nicotine dependence and to abuse other drugs such as cocaine. Despite great efforts to understand underlying neurobiological mechanisms of this progression, less attention has been paid to the role of genetic factors. Here, we investigated the influence of both genetic background and age at first nicotine exposure in the long-lasting effects on mesolimbic dopamine transmission including the increased cocaine-rewarding effect. Mid-adolescent and adult rats of inbred strains Lewis (addiction prone) and Fischer 344 (addiction resistant) were administered nicotine (0.4 mg/kg) or vehicle once daily for 5 days. Changes in dopamine transmission were investigated by in vivo microdialysis and electrophysiology after 30 days of withdrawal, whereas changes in cocaine-rewarding effect were assessed via conditioned place preference paradigm. Nicotine pre-exposure differentially changed mesolimbic dopamine transmission depending on strain and age of pre-exposure. A potentiation of dopamine response to nicotine was observed in nucleus accumbens (NAc) core of both strains and age groups, whereas dopamine response in NAc shell was enhanced exclusively in Lewis rats exposed to nicotine during adolescence. A similar response was observed following cocaine challenge at adulthood. Changes in VTA dopamine cell population and activity were observed only in adolescent nicotine-pretreated Lewis rats, which also showed an increased cocaine-rewarding effect at adulthood. These results highlight the influence of genetic background in the long-lasting effects of nicotine exposure and suggest that exposure during adolescence might increase nicotine and cocaine-rewarding properties in genetically vulnerable individuals, thereby facilitating progression toward dependence.
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Affiliation(s)
- Cristina Cadoni
- National Research Council of ItalyInstitute of Neuroscience Cagliari Italy
- Centre of Excellence “Neurobiology of Dependence”University of Cagliari Cagliari Italy
| | - Marta De Felice
- Department of Biomedical Sciences, Division of Neuroscience and Clinical PharmacologyUniversity of Cagliari Cagliari Italy
| | - Silvia Corongiu
- Department of Biomedical Sciences, Neuropsychopharmacology SectionUniversity of Cagliari Cagliari Italy
| | - Christian Dessì
- National Research Council of ItalyInstitute of Neuroscience Cagliari Italy
| | - Elena Espa
- Department of Biomedical Sciences, Neuropsychopharmacology SectionUniversity of Cagliari Cagliari Italy
| | - Miriam Melis
- Department of Biomedical Sciences, Division of Neuroscience and Clinical PharmacologyUniversity of Cagliari Cagliari Italy
| | - Sandro Fenu
- Department of Biomedical Sciences, Neuropsychopharmacology SectionUniversity of Cagliari Cagliari Italy
- Centre of Excellence “Neurobiology of Dependence”University of Cagliari Cagliari Italy
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Emery MA, Akil H. Endogenous Opioids at the Intersection of Opioid Addiction, Pain, and Depression: The Search for a Precision Medicine Approach. Annu Rev Neurosci 2020; 43:355-374. [PMID: 32109184 PMCID: PMC7646290 DOI: 10.1146/annurev-neuro-110719-095912] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Opioid addiction and overdose are at record levels in the United States. This is driven, in part, by their widespread prescription for the treatment of pain, which also increased opportunity for diversion by sensation-seeking users. Despite considerable research on the neurobiology of addiction, treatment options for opioid abuse remain limited. Mood disorders, particularly depression, are often comorbid with both pain disorders and opioid abuse. The endogenous opioid system, a complex neuromodulatory system, sits at the neurobiological convergence point of these three comorbid disease states. We review evidence for dysregulation of the endogenous opioid system as a mechanism for the development of opioid addiction and/or mood disorder. Specifically, individual differences in opioid system function may underlie differences in vulnerability to opioid addiction and mood disorders. We also review novel research, which promises to provide more detailed understanding of individual differences in endogenous opioid neurobiology and its contribution to opioid addiction susceptibility.
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Affiliation(s)
- Michael A Emery
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, Michigan 48109, USA;
| | - Huda Akil
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, Michigan 48109, USA;
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan 48109, USA
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Datta U, Schoenrock SE, Bubier JA, Bogue MA, Jentsch JD, Logan RW, Tarantino LM, Chesler EJ. Prospects for finding the mechanisms of sex differences in addiction with human and model organism genetic analysis. GENES, BRAIN, AND BEHAVIOR 2020; 19:e12645. [PMID: 32012419 PMCID: PMC7060801 DOI: 10.1111/gbb.12645] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 01/26/2020] [Accepted: 01/27/2020] [Indexed: 02/06/2023]
Abstract
Despite substantial evidence for sex differences in addiction epidemiology, addiction-relevant behaviors and associated neurobiological phenomena, the mechanisms and implications of these differences remain unknown. Genetic analysis in model organism is a potentially powerful and effective means of discovering the mechanisms that underlie sex differences in addiction. Human genetic studies are beginning to show precise risk variants that influence the mechanisms of addiction but typically lack sufficient power or neurobiological mechanistic access, particularly for the discovery of the mechanisms that underlie sex differences. Our thesis in this review is that genetic variation in model organisms are a promising approach that can complement these investigations to show the biological mechanisms that underlie sex differences in addiction.
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Affiliation(s)
- Udita Datta
- Center for Systems Neurogenetics of Addiction, The Jackson LaboratoryBar HarborMaine
| | - Sarah E. Schoenrock
- Center for Systems Neurogenetics of Addiction, Department of GeneticsUniversity of North Carolina at Chapel HillChapel HillNorth Carolina
| | - Jason A. Bubier
- Center for Systems Neurogenetics of Addiction, The Jackson LaboratoryBar HarborMaine
| | - Molly A. Bogue
- Center for Systems Neurogenetics of Addiction, The Jackson LaboratoryBar HarborMaine
| | - James D. Jentsch
- Center for Systems Neurogenetics of Addiction, PsychologyState University of New York at BinghamtonBinghamtonNew York
| | - Ryan W. Logan
- Center for Systems Neurogenetics of Addiction, PsychiatryUniversity of Pittsburgh School of MedicinePittsburghPennsylvania
| | - Lisa M. Tarantino
- Center for Systems Neurogenetics of Addiction, Department of GeneticsUniversity of North Carolina at Chapel HillChapel HillNorth Carolina
| | - Elissa J. Chesler
- Center for Systems Neurogenetics of Addiction, The Jackson LaboratoryBar HarborMaine
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Highfill CA, Baker BM, Stevens SD, Anholt RRH, Mackay TFC. Genetics of cocaine and methamphetamine consumption and preference in Drosophila melanogaster. PLoS Genet 2019; 15:e1007834. [PMID: 31107875 PMCID: PMC6527214 DOI: 10.1371/journal.pgen.1007834] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Accepted: 03/27/2019] [Indexed: 12/11/2022] Open
Abstract
Illicit use of psychostimulants, such as cocaine and methamphetamine, constitutes a significant public health problem. Whereas neural mechanisms that mediate the effects of these drugs are well-characterized, genetic factors that account for individual variation in susceptibility to substance abuse and addiction remain largely unknown. Drosophila melanogaster can serve as a translational model for studies on substance abuse, since flies have a dopamine transporter that can bind cocaine and methamphetamine, and exposure to these compounds elicits effects similar to those observed in people, suggesting conserved evolutionary mechanisms underlying drug responses. Here, we used the D. melanogaster Genetic Reference Panel to investigate the genetic basis for variation in psychostimulant drug consumption, to determine whether similar or distinct genetic networks underlie variation in consumption of cocaine and methamphetamine, and to assess the extent of sexual dimorphism and effect of genetic context on variation in voluntary drug consumption. Quantification of natural genetic variation in voluntary consumption, preference, and change in consumption and preference over time for cocaine and methamphetamine uncovered significant genetic variation for all traits, including sex-, exposure- and drug-specific genetic variation. Genome wide association analyses identified both shared and drug-specific candidate genes, which could be integrated in genetic interaction networks. We assessed the effects of ubiquitous RNA interference (RNAi) on consumption behaviors for 34 candidate genes: all affected at least one behavior. Finally, we utilized RNAi knockdown in the nervous system to implicate dopaminergic neurons and the mushroom bodies as part of the neural circuitry underlying experience-dependent development of drug preference.
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Affiliation(s)
- Chad A. Highfill
- Department of Biological Sciences, W. M. Keck Center for Behavioral Biology, and Program in Genetics, North Carolina State University, Raleigh, NC, United States of America
| | - Brandon M. Baker
- Department of Biological Sciences, W. M. Keck Center for Behavioral Biology, and Program in Genetics, North Carolina State University, Raleigh, NC, United States of America
| | - Stephenie D. Stevens
- Department of Biological Sciences, W. M. Keck Center for Behavioral Biology, and Program in Genetics, North Carolina State University, Raleigh, NC, United States of America
| | - Robert R. H. Anholt
- Department of Biological Sciences, W. M. Keck Center for Behavioral Biology, and Program in Genetics, North Carolina State University, Raleigh, NC, United States of America
| | - Trudy F. C. Mackay
- Department of Biological Sciences, W. M. Keck Center for Behavioral Biology, and Program in Genetics, North Carolina State University, Raleigh, NC, United States of America
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Blum K, Jacobs W, Modestino E, DiNubile N, Baron D, McLaughlin T, Siwicki D, Elman I, Moran M, Braverman ER, Thanos PK, Badgaiyan RD. Insurance Companies Fighting the Peer Review Empire without any Validity: the Case for Addiction and Pain Modalities in the face of an American Drug Epidemic. SEJ SURGERY AND PAIN 2018; 1:1-11. [PMID: 29911684 PMCID: PMC5998670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
The United States are amid an opioid overdose epidemic; we are challenged to provide non-addicting/non-pharmacological alternatives to assist in pain attenuation. There are proven strategies available to manage chronic pain effectively without opioids. Utilization review providers for insurance companies often ignore medicine based scientific peer-reviewed studies that warn against the chronic use of opioid medications, as well as the lack of evidence to support long-term use of opioids for pain. This paradigm must change if we are to indeed change the drug-embracing culture in American chronic pain management. A barrier to treatment is pushback on the part of insurance companies especially as it relates to fighting against pain relief alternatives compared to classical analgesic agents. Pain specialists in the U.S., are compelled to find alternative solutions to help pain victims without promoting unwanted tolerance to analgesics and subsequent biological induction of the "addictive brain." It is noteworthy that reward center of the brain plays a crucial role in the modulation of nociception, and that adaptations in dopaminergic circuitry may affect several sensory and affective components of chronic pain syndromes. Possibly knowing a patient's genetic addiction risk score (GARS™) could eliminate guessing as it relates to becoming addicted.
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Affiliation(s)
- K. Blum
- Department of Psychiatry and Behavioral Sciences, Keck Medicine University of Southern California, USA
- Division of Applied Clinical Research & Education, Dominion Diagnostics, USA
- Department of Precision Medicine, Geneus Health LLC, USA
- Department of Clinical Neurology, Path Foundation, USA
- Institute of Psychology, Eötvös Loránd University, Hungary
- National Human Genome Center at Howard University, USA
- Department of Psychiatry, University of Vermont, School of Medicine, USA
- Department of Psychiatry, Boonshoft School of Medicine, Dayton VA Medical Center, Wright State University, US
- Department of Psychiatry, McKnight Brain Institute, University of Florida College of Medicine, USA
- Division of Neuroscience and Addiction Research & Therapy, Summit Estate Recovery Center, USA
| | - W. Jacobs
- Department of Psychiatry and Health Behavior at the Medical College of Georgia at Georgia Regents University USA
| | | | - N. DiNubile
- Department of Orthopedic Surgery, University of Pennsylvania School of Medicine, Philadelphia, USA
| | - D. Baron
- Department of Psychiatry and Behavioral Sciences, Keck Medicine University of Southern California, USA
| | | | - D. Siwicki
- Department of Precision Medicine, Geneus Health LLC, USA
| | - I. Elman
- Department of Psychiatry, Boonshoft School of Medicine, Dayton VA Medical Center, Wright State University, US
| | - M. Moran
- Department of Precision Medicine, Geneus Health LLC, USA
- Consultants in Pain Management, San Antonio, USA
| | | | - P. K. Thanos
- Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions, Research Institute on Addictions, University at Buffalo, USA
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Cabana-Domínguez J, Arenas C, Cormand B, Fernàndez-Castillo N. MiR-9, miR-153 and miR-124 are down-regulated by acute exposure to cocaine in a dopaminergic cell model and may contribute to cocaine dependence. Transl Psychiatry 2018; 8:173. [PMID: 30166527 PMCID: PMC6117282 DOI: 10.1038/s41398-018-0224-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Accepted: 07/14/2018] [Indexed: 12/21/2022] Open
Abstract
Cocaine is one of the most used psychostimulant drugs worldwide. MicroRNAs are post-transcriptional regulators of gene expression that are highly expressed in brain, and several studies have shown that cocaine can alter their expression. In a previous study, we identified several protein-coding genes that are differentially expressed in a dopaminergic neuron-like model after an acute exposure to cocaine. Now, we used the prediction tool WebGestalt to identify miRNA molecules potentially involved in the regulation of these genes. Using the same cellular model, we found that seven of these miRNAs are down-regulated by cocaine: miR-124-3p, miR-124-5p, miR-137, miR-101-3p, miR-9-5p, miR-369-3p and miR-153-3p, the last three not previously related to cocaine. Furthermore, we found that three of the miRNA genes that are differentially expressed in our model (hsa-miR-9-1, hsa-miR-153-1 and hsa-miR-124-3) are nominally associated with cocaine dependence in a case-control study (2,085 cases and 4,293 controls). In summary, we highlighted novel miRNAs that may be involved in those cocaine-induced changes of gene expression that underlie addiction. Moreover, we identified genetic variants that contribute to cocaine dependence in three of these miRNA genes, supporting the idea that genes differentially expressed under cocaine may play an important role in the susceptibility to cocaine dependence.
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Affiliation(s)
- Judit Cabana-Domínguez
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain
- Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia, Spain
| | - Concepció Arenas
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Bru Cormand
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain.
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain.
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain.
- Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia, Spain.
| | - Noèlia Fernàndez-Castillo
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain.
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain.
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain.
- Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia, Spain.
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Analysis of shared homozygosity regions in Saudi siblings with attention deficit hyperactivity disorder. Psychiatr Genet 2018; 27:131-138. [PMID: 28452824 PMCID: PMC5495552 DOI: 10.1097/ypg.0000000000000173] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
AIM Genetic and clinical complexities are common features of most psychiatric illnesses that pose a major obstacle in risk-gene identification. Attention deficit hyperactivity disorder (ADHD) is the most prevalent child-onset psychiatric illness, with high heritability. Over the past decade, numerous genetic studies utilizing various approaches, such as genome-wide association, candidate-gene association, and linkage analysis, have identified a multitude of candidate loci/genes. However, such studies have yielded diverse findings that are rarely reproduced, indicating that other genetic determinants have not been discovered yet. In this study, we carried out sib-pair analysis on seven multiplex families with ADHD from Saudi Arabia. We aimed to identify the candidate chromosomal regions and genes linked to the disease. PATIENTS AND METHODS A total of 41 individuals from multiplex families were analyzed for shared regions of homozygosity. Genes within these regions were prioritized according to their potential relevance to ADHD. RESULTS We identified multiple genomic regions spanning different chromosomes to be shared among affected members of each family; these included chromosomes 3, 5, 6, 7, 8, 9, 10, 13, 17, and 18. We also found specific regions on chromosomes 8 and 17 to be shared between affected individuals from more than one family. Among the genes present in the regions reported here were involved in neurotransmission (GRM3, SIGMAR1, CHAT, and SLC18A3) and members of the HLA gene family (HLA-A, HLA-DPA1, and MICC). CONCLUSION The candidate regions identified in this study highlight the genetic diversity of ADHD. Upon further investigation, these loci may reveal candidate genes that enclose variants associated with ADHD. Although most ADHD studies were conducted in other populations, our study provides insight from an understudied, ethnically interesting population.
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Ji Y, Si Y, McMillin GA, Lyon E. Clinical pharmacogenomics testing in the era of next generation sequencing: challenges and opportunities for precision medicine. Expert Rev Mol Diagn 2018; 18:411-421. [PMID: 29634383 DOI: 10.1080/14737159.2018.1461561] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
INTRODUCTION The rapid development and dramatic decrease in cost of sequencing techniques have ushered the implementation of genomic testing in patient care. Next generation DNA sequencing (NGS) techniques have been used increasingly in clinical laboratories to scan the whole or part of the human genome in order to facilitate diagnosis and/or prognostics of genetic disease. Despite many hurdles and debates, pharmacogenomics (PGx) is believed to be an area of genomic medicine where precision medicine could have immediate impact in the near future. Areas covered: This review focuses on lessons learned through early attempts of clinically implementing PGx testing; the challenges and opportunities that PGx testing brings to precision medicine in the era of NGS. Expert commentary: Replacing targeted analysis approach with NGS for PGx testing is neither technically feasible nor necessary currently due to several technical limitations and uncertainty involved in interpreting variants of uncertain significance for PGx variants. However, reporting PGx variants out of clinical whole exome or whole genome sequencing (WES/WGS) might represent additional benefits for patients who are tested by WES/WGS.
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Affiliation(s)
- Yuan Ji
- a ARUP Laboratories and Department of Pathology , University of Utah School of Medicine , Salt Lake City , UT , USA
| | - Yue Si
- a ARUP Laboratories and Department of Pathology , University of Utah School of Medicine , Salt Lake City , UT , USA
| | - Gwendolyn A McMillin
- a ARUP Laboratories and Department of Pathology , University of Utah School of Medicine , Salt Lake City , UT , USA
| | - Elaine Lyon
- a ARUP Laboratories and Department of Pathology , University of Utah School of Medicine , Salt Lake City , UT , USA
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24
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The Role of Cell Adhesion Molecule Genes Regulating Neuroplasticity in Addiction. Neural Plast 2018; 2018:9803764. [PMID: 29675039 PMCID: PMC5838467 DOI: 10.1155/2018/9803764] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 12/10/2017] [Indexed: 01/06/2023] Open
Abstract
A variety of genetic approaches, including twin studies, linkage studies, and candidate gene studies, has established a firm genetic basis for addiction. However, there has been difficulty identifying the precise genes that underlie addiction liability using these approaches. This situation became especially clear in genome-wide association studies (GWAS) of addiction. Moreover, the results of GWAS brought into clarity many of the shortcomings of those early genetic approaches. GWAS studies stripped away those preconceived notions, examining genes that would not previously have been considered in the study of addiction, consequently creating a shift in our understanding. Most importantly, those studies implicated a class of genes that had not previously been considered in the study of addiction genetics: cell adhesion molecules (CAMs). Considering the well-documented evidence supporting a role for various CAMs in synaptic plasticity, axonal growth, and regeneration, it is not surprising that allelic variation in CAM genes might also play a role in addiction liability. This review focuses on the role of various cell adhesion molecules in neuroplasticity that might contribute to addictive processes and emphasizes the importance of ongoing research on CAM genes that have been implicated in addiction by GWAS.
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25
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Reed C, Baba H, Zhu Z, Erk J, Mootz JR, Varra NM, Williams RW, Phillips TJ. A Spontaneous Mutation in Taar1 Impacts Methamphetamine-Related Traits Exclusively in DBA/2 Mice from a Single Vendor. Front Pharmacol 2018; 8:993. [PMID: 29403379 PMCID: PMC5786530 DOI: 10.3389/fphar.2017.00993] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Accepted: 12/26/2017] [Indexed: 01/01/2023] Open
Abstract
Major gene effects on traits associated with substance use disorders are rare. Previous findings in methamphetamine drinking (MADR) lines of mice, bred for high or low voluntary MA intake, and in null mutants demonstrate a major impact of the trace amine-associated receptor 1 (Taar1) gene on a triad of MA-related traits: MA consumption, MA-induced conditioned taste aversion and MA-induced hypothermia. While inbred strains are fundamentally genetically stable, rare spontaneous mutations can become fixed and result in new or aberrant phenotypes. A single nucleotide polymorphism in Taar1 that encodes a missense proline to threonine mutation in the second transmembrane domain (Taar1m1J ) has been identified in the DBA/2J strain. MA is an agonist at this receptor, but the receptor produced by Taar1m1J does not respond to MA or endogenous ligands. In the present study, we used progeny of the C57BL/6J × DBA/2J F2 cross, the MADR lines, C57BL/6J × DBA/2J recombinant inbred strains, and DBA/2 mice sourced from four vendors to further examine Taar1-MA phenotype relations and to define the chronology of the fixation of the Taar1m1J mutation. Mice homozygous for Taar1m1J were found at high frequency early in selection for high MA intake in multiple replicates of the high MADR line, whereas Taar1m1J homozygotes were absent in the low MADR line. The homozygous Taar1m1J genotype is causally linked to increased MA intake, reduced MA-induced conditioned taste aversion, and reduced MA-induced hypothermia across models. Genotype-phenotype correlations range from 0.68 to 0.96. This Taar1 polymorphism exists in DBA/2J mice sourced directly from The Jackson Laboratory, but not DBA/2 mice sourced from Charles River (DBA/2NCrl), Envigo (formerly Harlan Sprague Dawley; DBA/2NHsd) or Taconic (DBA/2NTac). By genotyping archived samples from The Jackson Laboratory, we have determined that this mutation arose in 2001-2003. Our data strengthen the conclusion that the mutant Taar1m1J allele, which codes for a non-functional receptor protein, increases risk for multiple MA-related traits, including MA intake, in homozygous Taar1m1J individuals.
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Affiliation(s)
- Cheryl Reed
- Department of Behavioral Neuroscience and Methamphetamine Abuse Research Center, Oregon Health & Science University, Portland, OR, United States
| | - Harue Baba
- Department of Behavioral Neuroscience and Methamphetamine Abuse Research Center, Oregon Health & Science University, Portland, OR, United States
| | - Zhen Zhu
- Department of Behavioral Neuroscience and Methamphetamine Abuse Research Center, Oregon Health & Science University, Portland, OR, United States
| | - Jason Erk
- Department of Behavioral Neuroscience and Methamphetamine Abuse Research Center, Oregon Health & Science University, Portland, OR, United States
| | - John R. Mootz
- Department of Behavioral Neuroscience and Methamphetamine Abuse Research Center, Oregon Health & Science University, Portland, OR, United States
| | - Nicholas M. Varra
- Department of Behavioral Neuroscience and Methamphetamine Abuse Research Center, Oregon Health & Science University, Portland, OR, United States
| | - Robert W. Williams
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Sciences Center, Memphis, TN, United States
| | - Tamara J. Phillips
- Department of Behavioral Neuroscience and Methamphetamine Abuse Research Center, Oregon Health & Science University, Portland, OR, United States
- VA Portland Health Care System, Portland, OR, United States
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26
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Abstract
Studies of the mammalian nervous system have revealed widespread epigenetic regulation underlying gene expression intrinsic to basic neurobiological function as well as neurological disease. Over the past decade, a critical role has emerged for the neural regulation of chromatin-modifying enzymes during both development and adulthood, and in response to external stimuli. These biochemical data are complemented by numerous next generation sequencing (NGS) studies that quantify the extent of chromatin and DNA modifications in neurons. Neuroepigenetic editing tools can be applied to distinguish between the mere presence and functional relevance of such modifications to neural transcription and animal behavior. This review discusses current advances in neuroepigenetic editing, highlighting methodological considerations pertinent to neuroscience, such as delivery methods and the spatiotemporal specificity of editing. Although neuroepigenetic editing is a nascent field, the studies presented in this review demonstrate the enormous potential of this approach for basic neurobiological research and therapeutic application.
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Affiliation(s)
- Peter J Hamilton
- The Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, NY, New York, USA
| | - Carissa J Lim
- Department of Pharmacology, The University of Pennsylvania, Philadelphia, PA, USA
| | - Eric J Nestler
- The Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, NY, New York, USA
| | - Elizabeth A Heller
- Department of Pharmacology, The University of Pennsylvania, Philadelphia, PA, USA. .,Penn Epigenetics Institute, The University of Pennsylvania, Philadelphia, PA, USA.
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27
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Abstract
Drug addiction involves long-term behavioral abnormalities that arise in response to repeated exposure to drugs of abuse in vulnerable individuals. It is a multifactorial syndrome involving a complex interplay between genes and the environment. Evidence suggests that the underlying mechanisms regulating these persistent behavioral abnormalities involve changes in gene expression throughout the brain's reward circuitry, in particular, in the mesolimbic dopamine system. In the past decade, investigations have begun to reveal potential genes involved in the risk for addiction through genomewide association studies. Additionally, a crucial role for epigenetic mechanisms, which mediate the enduring effects of drugs of abuse on the brain in animal models of addiction, has been established. This chapter focuses on recent evidence that genetic and epigenetic regulatory events underlie the changes throughout the reward circuitry in humans, as well as animal models of addiction. While further investigations are necessary, a picture of genetic and epigenetic mechanisms involved in addiction is beginning to emerge and the insight gained from these studies will be key to the identification of novel targets for improved diagnosis and treatment of addiction syndromes in humans.
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Affiliation(s)
- Deena M Walker
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Eric J Nestler
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
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28
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Cabana-Domínguez J, Roncero C, Pineda-Cirera L, Palma-Álvarez RF, Ros-Cucurull E, Grau-López L, Esojo A, Casas M, Arenas C, Ramos-Quiroga JA, Ribasés M, Fernàndez-Castillo N, Cormand B. Association of the PLCB1 gene with drug dependence. Sci Rep 2017; 7:10110. [PMID: 28860459 PMCID: PMC5579249 DOI: 10.1038/s41598-017-10207-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Accepted: 08/04/2017] [Indexed: 12/27/2022] Open
Abstract
Genetic factors involved in the susceptibility to drug addiction still remain largely unknown. MiRNAs seem to play key roles in the drug-induced plasticity of the brain that likely drives the emergence of addiction. In this work we explored the role of miRNAs in drug addiction. With this aim, we selected 62 SNPs located in the 3'UTR of target genes that are predicted to alter the binding of miRNA molecules and performed a case-control association study in a Spanish sample of 735 cases (mainly cocaine-dependent subjects with multiple drug dependencies) and 739 controls. We found an association between rs1047383 in the PLCB1 gene and drug dependence that was replicated in an independent sample (663 cases and 667 controls). Then we selected 9 miRNAs predicted to bind the rs1047383 region, but none of them showed any effect on PLCB1 expression. We also assessed two miRNAs binding a region that contains a SNP in linkage disequilibrium with rs1047383, but although one of them, hsa-miR-582, was found to downregulate PLCB1, no differences were observed between alleles. Finally, we explored the possibility that PLCB1 expression is altered by cocaine and we observed a significant upregulation of the gene in the nucleus accumbens of cocaine abusers and in human dopaminergic-like neurons after cocaine treatment. Our results, together with previous studies, suggest that PLCB1 participates in the susceptibility to drug dependence.
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Affiliation(s)
- Judit Cabana-Domínguez
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain
- Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia, Spain
| | - Carlos Roncero
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
- Addiction and Dual Diagnosis Unit Vall Hebron, Psychiatric Services, Hospital Universitari Vall d'Hebron-ASPB, Barcelona, Catalonia, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain
| | - Laura Pineda-Cirera
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain
- Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia, Spain
| | - R Felipe Palma-Álvarez
- Addiction and Dual Diagnosis Unit Vall Hebron, Psychiatric Services, Hospital Universitari Vall d'Hebron-ASPB, Barcelona, Catalonia, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain
| | - Elena Ros-Cucurull
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
- Addiction and Dual Diagnosis Unit Vall Hebron, Psychiatric Services, Hospital Universitari Vall d'Hebron-ASPB, Barcelona, Catalonia, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain
| | - Lara Grau-López
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
- Addiction and Dual Diagnosis Unit Vall Hebron, Psychiatric Services, Hospital Universitari Vall d'Hebron-ASPB, Barcelona, Catalonia, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain
| | - Abderaman Esojo
- Addiction and Dual Diagnosis Unit Vall Hebron, Psychiatric Services, Hospital Universitari Vall d'Hebron-ASPB, Barcelona, Catalonia, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain
| | - Miquel Casas
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain
| | - Concepció Arenas
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Josep Antoni Ramos-Quiroga
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
| | - Marta Ribasés
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
| | - Noèlia Fernàndez-Castillo
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain.
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain.
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain.
- Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia, Spain.
| | - Bru Cormand
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain.
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain.
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain.
- Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia, Spain.
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Chang L, Oishi K, Skranes J, Buchthal S, Cunningham E, Yamakawa R, Hayama S, Jiang CS, Alicata D, Hernandez A, Cloak C, Wright T, Ernst T. Sex-Specific Alterations of White Matter Developmental Trajectories in Infants With Prenatal Exposure to Methamphetamine and Tobacco. JAMA Psychiatry 2016; 73:1217-1227. [PMID: 27829078 PMCID: PMC6467201 DOI: 10.1001/jamapsychiatry.2016.2794] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
IMPORTANCE Methamphetamine is a common illicit drug used worldwide. Methamphetamine and/or tobacco use by pregnant women remains prevalent. However, little is known about the effect of comorbid methamphetamine and tobacco use on human fetal brain development. OBJECTIVE To investigate whether microstructural brain abnormalities reported in children with prenatal methamphetamine and/or tobacco exposure are present at birth before childhood environmental influences. DESIGN, SETTING, AND PARTICIPANTS A prospective, longitudinal study was conducted between September 17, 2008, and February 28, 2015, at an ambulatory academic medical center. A total of 752 infant-mother dyads were screened and 139 of 195 qualified neonates were evaluated (36 methamphetamine/tobacco exposed, 32 tobacco exposed, and 71 unexposed controls). They were recruited consecutively from the community. EXPOSURES Prenatal methamphetamine and/or tobacco exposure. MAIN OUTCOMES AND MEASURES Quantitative neurologic examination and diffusion tensor imaging performed 1 to 3 times through age 4 months; diffusivities and fractional anisotropy (FA) assessed in 7 white matter tracts and 4 subcortical brain regions using an automated atlas-based method. RESULTS Of the 139 infants evaluated, 72 were female (51.8%); the mean (SE) postmenstrual age at baseline was 41.5 (0.27) weeks. Methamphetamine/tobacco-exposed infants showed delayed developmental trajectories on active muscle tone (group × age, P < .001) and total neurologic scores (group × age, P = .01) that normalized by ages 3 to 4 months. Only methamphetamine/tobacco-exposed boys had lower FA (group × age, P = .02) and higher diffusivities in superior (SCR) and posterior corona radiatae (PCR) (group × age × sex, P = .002; group × age × sex, P = .01) at baseline that normalized by age 3 months. Only methamphetamine/tobacco- and tobacco-exposed girls showed persistently lower FA in anterior corona radiata (ACR) (group, P = .04; group × age × sex, P = .01). Tobacco-exposed infants showed persistently lower axial diffusion in the thalamus and internal capsule across groups (P = .02). CONCLUSIONS AND RELEVANCE Prenatal methamphetamine/tobacco exposure may lead to delays in motor development, with less coherent fibers and less myelination in SCR and PCR only in male infants, but these abnormalities may normalize by ages 3 to 4 months after cessation of stimulant exposure. In contrast, persistently less coherent ACR fibers were observed in methamphetamine/tobacco- and tobacco-exposed girls, possibly from increased dendritic branching or spine density due to epigenetic influences. Persistently lower diffusivity in the thalamus and internal capsule of all tobacco-exposed infants suggests aberrant axonal development. Collectively, prenatal methamphetamine and/or tobacco exposure may lead to delayed motor development and white matter maturation in sex- and regional-specific manners.
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Affiliation(s)
- Linda Chang
- Department of Medicine, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu
| | - Kenichi Oishi
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jon Skranes
- Department of Pediatrics, Sørlandet Hospital, Arendal, Norway, Department of Laboratory Medicine, Children’s and Women’s Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Steven Buchthal
- Department of Medicine, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu
| | - Eric Cunningham
- Department of Medicine, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu
| | - Robyn Yamakawa
- Department of Medicine, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu
| | - Sara Hayama
- Department of Medicine, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu
| | - Caroline S. Jiang
- Department of Medicine, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu
| | - Daniel Alicata
- Department of Psychiatry, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu
| | - Antonette Hernandez
- Department of Medicine, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu
| | - Christine Cloak
- Department of Medicine, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu
| | - Tricia Wright
- Department of Obstetrics, Gynecology and Women’s Health, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu
| | - Thomas Ernst
- Department of Medicine, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu
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Research Domain Criteria versus DSM V: How does this debate affect attempts to model corticostriatal dysfunction in animals? Neurosci Biobehav Rev 2016; 76:301-316. [PMID: 27826070 DOI: 10.1016/j.neubiorev.2016.10.029] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Revised: 09/03/2016] [Accepted: 10/31/2016] [Indexed: 01/29/2023]
Abstract
For decades, the nosology of mental illness has been based largely upon the descriptions in the Diagnostic and Statistical Manual of the American Psychiatric Association (DSM). A recent challenge to the DSM approach to psychiatric nosology from the National Institute on Mental Health (USA) defines Research Domain Criteria (RDoC) as an alternative. For RDoC, psychiatric illnesses are not defined as discrete categories, but instead as specific behavioral dysfunctions irrespective of DSM diagnostic categories. This approach was driven by two primary weaknesses noted in the DSM: (1) the same symptoms occur in very different disease states; and (2) DSM criteria lack grounding in the underlying biological causes of mental illness. RDoC intends to ground psychiatric nosology in those underlying mechanisms. This review addresses the suitability of RDoC vs. DSM from the view of modeling mental illness in animals. A consideration of all types of psychiatric dysfunction is beyond the scope of this review, which will focus on models of conditions associated with frontostriatal dysfunction.
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Affiliation(s)
- Nora D Volkow
- From the National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD (N.D.V.); and the Treatment Research Institute, Philadelphia (A.T.M.)
| | - A Thomas McLellan
- From the National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD (N.D.V.); and the Treatment Research Institute, Philadelphia (A.T.M.)
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Schwantes-An TH, Zhang J, Chen LS, Hartz SM, Culverhouse RC, Chen X, Coon H, Frank J, Kamens HM, Konte B, Kovanen L, Latvala A, Legrand LN, Maher BS, Melroy WE, Nelson EC, Reid MW, Robinson JD, Shen PH, Yang BZ, Andrews JA, Aveyard P, Beltcheva O, Brown SA, Cannon DS, Cichon S, Corley RP, Dahmen N, Degenhardt L, Foroud T, Gaebel W, Giegling I, Glatt SJ, Grucza RA, Hardin J, Hartmann AM, Heath AC, Herms S, Hodgkinson CA, Hoffmann P, Hops H, Huizinga D, Ising M, Johnson EO, Johnstone E, Kaneva RP, Kendler KS, Kiefer F, Kranzler HR, Krauter KS, Levran O, Lucae S, Lynskey MT, Maier W, Mann K, Martin NG, Mattheisen M, Montgomery GW, Müller-Myhsok B, Murphy MF, Neale MC, Nikolov MA, Nishita D, Nöthen MM, Nurnberger J, Partonen T, Pergadia ML, Reynolds M, Ridinger M, Rose RJ, Rouvinen-Lagerström N, Scherbaum N, Schmäl C, Soyka M, Stallings MC, Steffens M, Treutlein J, Tsuang M, Wall TL, Wodarz N, Yuferov V, Zill P, Bergen AW, Chen J, Cinciripini PM, Edenberg HJ, Ehringer MA, Ferrell RE, Gelernter J, Goldman D, Hewitt JK, Hopfer CJ, Iacono WG, Kaprio J, Kreek MJ, Kremensky IM, Madden PAF, McGue M, Munafò MR, Philibert RA, et alSchwantes-An TH, Zhang J, Chen LS, Hartz SM, Culverhouse RC, Chen X, Coon H, Frank J, Kamens HM, Konte B, Kovanen L, Latvala A, Legrand LN, Maher BS, Melroy WE, Nelson EC, Reid MW, Robinson JD, Shen PH, Yang BZ, Andrews JA, Aveyard P, Beltcheva O, Brown SA, Cannon DS, Cichon S, Corley RP, Dahmen N, Degenhardt L, Foroud T, Gaebel W, Giegling I, Glatt SJ, Grucza RA, Hardin J, Hartmann AM, Heath AC, Herms S, Hodgkinson CA, Hoffmann P, Hops H, Huizinga D, Ising M, Johnson EO, Johnstone E, Kaneva RP, Kendler KS, Kiefer F, Kranzler HR, Krauter KS, Levran O, Lucae S, Lynskey MT, Maier W, Mann K, Martin NG, Mattheisen M, Montgomery GW, Müller-Myhsok B, Murphy MF, Neale MC, Nikolov MA, Nishita D, Nöthen MM, Nurnberger J, Partonen T, Pergadia ML, Reynolds M, Ridinger M, Rose RJ, Rouvinen-Lagerström N, Scherbaum N, Schmäl C, Soyka M, Stallings MC, Steffens M, Treutlein J, Tsuang M, Wall TL, Wodarz N, Yuferov V, Zill P, Bergen AW, Chen J, Cinciripini PM, Edenberg HJ, Ehringer MA, Ferrell RE, Gelernter J, Goldman D, Hewitt JK, Hopfer CJ, Iacono WG, Kaprio J, Kreek MJ, Kremensky IM, Madden PAF, McGue M, Munafò MR, Philibert RA, Rietschel M, Roy A, Rujescu D, Saarikoski ST, Swan GE, Todorov AA, Vanyukov MM, Weiss RB, Bierut LJ, Saccone NL. Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts. Behav Genet 2016; 46:151-69. [PMID: 26392368 PMCID: PMC4752855 DOI: 10.1007/s10519-015-9737-3] [Show More Authors] [Citation(s) in RCA: 79] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2014] [Accepted: 08/17/2015] [Indexed: 12/20/2022]
Abstract
The mu1 opioid receptor gene, OPRM1, has long been a high-priority candidate for human genetic studies of addiction. Because of its potential functional significance, the non-synonymous variant rs1799971 (A118G, Asn40Asp) in OPRM1 has been extensively studied, yet its role in addiction has remained unclear, with conflicting association findings. To resolve the question of what effect, if any, rs1799971 has on substance dependence risk, we conducted collaborative meta-analyses of 25 datasets with over 28,000 European-ancestry subjects. We investigated non-specific risk for "general" substance dependence, comparing cases dependent on any substance to controls who were non-dependent on all assessed substances. We also examined five specific substance dependence diagnoses: DSM-IV alcohol, opioid, cannabis, and cocaine dependence, and nicotine dependence defined by the proxy of heavy/light smoking (cigarettes-per-day >20 vs. ≤ 10). The G allele showed a modest protective effect on general substance dependence (OR = 0.90, 95% C.I. [0.83-0.97], p value = 0.0095, N = 16,908). We observed similar effects for each individual substance, although these were not statistically significant, likely because of reduced sample sizes. We conclude that rs1799971 contributes to mechanisms of addiction liability that are shared across different addictive substances. This project highlights the benefits of examining addictive behaviors collectively and the power of collaborative data sharing and meta-analyses.
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Affiliation(s)
- Tae-Hwi Schwantes-An
- Department of Genetics, Washington University School of Medicine, 4523 Clayton Avenue, Campus Box 8232, St. Louis, MO, 63110, USA
- Genometrics Section, Computational and Statistical Genomics Branch, Division of Intramural Research, National Human Genome Research Institute, US National Institutes of Health (NIH), Baltimore, MD, 21224, USA
| | - Juan Zhang
- Department of Genetics, Washington University School of Medicine, 4523 Clayton Avenue, Campus Box 8232, St. Louis, MO, 63110, USA
- Key Laboratory of Brain Function and Disease, School of Life Sciences, Chinese Academy of Sciences, University of Science and Technology of China, Hefei, Anhui, 230026, China
| | - Li-Shiun Chen
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Sarah M Hartz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Robert C Culverhouse
- Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Xiangning Chen
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, 23298, USA
| | - Hilary Coon
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, 84108, USA
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, 68159, Mannheim, Germany
| | - Helen M Kamens
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, 80309, USA
- Department of Integrative Physiology, University of Colorado, Boulder, CO, 80309, USA
- Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Bettina Konte
- Department of Psychiatry, Universitätsklinikum Halle (Saale), 06112, Halle (Saale), Germany
| | - Leena Kovanen
- Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, 00271, Finland
| | - Antti Latvala
- Department of Public Health, University of Helsinki, Helsinki, 00014, Finland
| | - Lisa N Legrand
- Department of Psychology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Brion S Maher
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA
| | - Whitney E Melroy
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, 80309, USA
- Department of Integrative Physiology, University of Colorado, Boulder, CO, 80309, USA
| | - Elliot C Nelson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Mark W Reid
- Oregon Research Institute, Eugene, OR, 97403, USA
| | - Jason D Robinson
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Pei-Hong Shen
- Section of Human Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, 20892, USA
| | - Bao-Zhu Yang
- Department of Psychiatry, Yale University, New Haven, CT, 06516, USA
| | | | - Paul Aveyard
- Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, United Kingdom
| | - Olga Beltcheva
- Department of Medical Chemistry and Biochemistry, Molecular Medicine Center, Medical University-Sofia, 1431, Sofia, Bulgaria
| | - Sandra A Brown
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA
| | - Dale S Cannon
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, 84108, USA
| | - Sven Cichon
- Department. of Genomics, Life and Brain Center, Institute of Human Genetics, University of Bonn, Bonn, 53127, Germany
- Division of Medical Genetics, Department of Biomedicine, University Hospital Basel, University of Basel, Basel, 4003, Switzerland
| | - Robin P Corley
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, 80309, USA
| | - Norbert Dahmen
- Ökumenisches Hainich-Klinikum, Mühlhausen/Thüringen, Germany
| | - Louisa Degenhardt
- National Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, 2031, Australia
- School of Population and Global Health, University of Melbourne, Melbourne, 3010, Australia
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | | | - Ina Giegling
- Department of Psychiatry, Universitätsklinikum Halle (Saale), 06112, Halle (Saale), Germany
| | - Stephen J Glatt
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, 13210, USA
| | - Richard A Grucza
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Jill Hardin
- Center for Health Sciences, Biosciences Division, SRI International, Menlo Park, CA, 94025, USA
| | - Annette M Hartmann
- Department of Psychiatry, Universitätsklinikum Halle (Saale), 06112, Halle (Saale), Germany
| | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Stefan Herms
- Department. of Genomics, Life and Brain Center, Institute of Human Genetics, University of Bonn, Bonn, 53127, Germany
- Division of Medical Genetics, Department of Biomedicine, University Hospital Basel, University of Basel, Basel, 4003, Switzerland
| | - Colin A Hodgkinson
- Section of Human Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, 20892, USA
| | - Per Hoffmann
- Department. of Genomics, Life and Brain Center, Institute of Human Genetics, University of Bonn, Bonn, 53127, Germany
- Division of Medical Genetics, Department of Biomedicine, University Hospital Basel, University of Basel, Basel, 4003, Switzerland
| | - Hyman Hops
- Oregon Research Institute, Eugene, OR, 97403, USA
| | - David Huizinga
- Institute of Behavioral Science, University of Colorado, Boulder, CO, 80309, USA
| | - Marcus Ising
- Max-Planck-Institute of Psychiatry, 80804, Munich, Germany
| | - Eric O Johnson
- Behavioral Health Research Division, Research Triangle Institute International, Durham, NC, 27709, USA
| | - Elaine Johnstone
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ, United Kingdom
| | - Radka P Kaneva
- Department of Medical Chemistry and Biochemistry, Molecular Medicine Center, Medical University-Sofia, 1431, Sofia, Bulgaria
| | - Kenneth S Kendler
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, 23298, USA
| | - Falk Kiefer
- Department of Addictive Behavior and Addiction Medicine, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, 68159, Mannheim, Germany
| | - Henry R Kranzler
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ken S Krauter
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, 80309, USA
- Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder, CO, 80309, USA
| | - Orna Levran
- Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, 10065, USA
| | - Susanne Lucae
- Max-Planck-Institute of Psychiatry, 80804, Munich, Germany
| | - Michael T Lynskey
- Addictions Department, Institute of Psychiatry, King's College London, London, SE5 8BB, UK
| | | | - Karl Mann
- Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, 68159, Mannheim, Germany
| | - Nicholas G Martin
- Department of Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, QLD, 4029, Australia
| | - Manuel Mattheisen
- Department. of Genomics, Life and Brain Center, Institute of Human Genetics, University of Bonn, Bonn, 53127, Germany
- Harvard School of Public Health, Boston, MA, 02115, USA
- Aarhus University, Aarhus, 8000, Denmark
| | - Grant W Montgomery
- Department of Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, QLD, 4029, Australia
| | | | - Michael F Murphy
- Childhood Cancer Research Group, University of Oxford, Oxford, OX3 7LG, UK
| | - Michael C Neale
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, 23298, USA
| | - Momchil A Nikolov
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Medical Chemistry and Biochemistry, Molecular Medicine Center, Medical University-Sofia, 1431, Sofia, Bulgaria
| | - Denise Nishita
- Center for Health Sciences, Biosciences Division, SRI International, Menlo Park, CA, 94025, USA
| | - Markus M Nöthen
- Department. of Genomics, Life and Brain Center, Institute of Human Genetics, University of Bonn, Bonn, 53127, Germany
| | - John Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Timo Partonen
- Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, 00271, Finland
| | - Michele L Pergadia
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Maureen Reynolds
- Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Monika Ridinger
- Department of Psychiatry, University Medical Center Regensburg, University of Regensburg, 8548, Regensburg, Germany
- Psychiatric Hospital, Konigsfelden, Windisch, Switzerland
| | - Richard J Rose
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, 47405, USA
| | - Noora Rouvinen-Lagerström
- Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, 00271, Finland
| | - Norbert Scherbaum
- Addiction Research Group at the Department of Psychiatry and Psychotherapy, LVR Hospital Essen, University of Duisburg-Essen, 45147, Essen, Germany
| | - Christine Schmäl
- Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, 68159, Mannheim, Germany
| | - Michael Soyka
- Department of Psychiatry, University of Munich, 3860, Munich, Germany
- Private Hospital Meiringen, Meiringen, Switzerland
| | - Michael C Stallings
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, 80309, USA
- Department of Psychology & Neuroscience, University of Colorado, Boulder, CO, 80309, USA
| | - Michael Steffens
- Research Department, Federal Institute for Drugs and Medical Devices (BfArM), Kurt-Georg-Kiesinger-Allee 3, 53175, Bonn, Germany
| | - Jens Treutlein
- Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, 68159, Mannheim, Germany
| | - Ming Tsuang
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA
| | - Tamara L Wall
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA
| | - Norbert Wodarz
- Department of Psychiatry, University Medical Center Regensburg, University of Regensburg, 8548, Regensburg, Germany
| | - Vadim Yuferov
- Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, 10065, USA
| | | | - Andrew W Bergen
- Center for Health Sciences, Biosciences Division, SRI International, Menlo Park, CA, 94025, USA
| | - Jingchun Chen
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, 23298, USA
| | - Paul M Cinciripini
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Marissa A Ehringer
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, 80309, USA
- Department of Integrative Physiology, University of Colorado, Boulder, CO, 80309, USA
| | - Robert E Ferrell
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale University, New Haven, CT, 06516, USA
- Department of Genetics, Yale University, New Haven, CT, 06516, USA
- Department of Neurobiology, Yale University, New Haven, CT, 06516, USA
| | - David Goldman
- Section of Human Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, 20892, USA
| | - John K Hewitt
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, 80309, USA
- Department of Psychology & Neuroscience, University of Colorado, Boulder, CO, 80309, USA
| | - Christian J Hopfer
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - William G Iacono
- Department of Psychology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Jaakko Kaprio
- Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, 00271, Finland
- Department of Public Health, University of Helsinki, Helsinki, 00014, Finland
- Institute for Molecular Medicine FIMM, University of Helsinki, 00014, Helsinki, Finland
| | - Mary Jeanne Kreek
- Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, 10065, USA
| | - Ivo M Kremensky
- Department of Medical Chemistry and Biochemistry, Molecular Medicine Center, Medical University-Sofia, 1431, Sofia, Bulgaria
| | - Pamela A F Madden
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Marcus R Munafò
- MRC Integrative Epidemiology Unit, UK Centre for Tobacco and Alcohol Studies, and School of Experimental Psychology, University of Bristol, Bristol, BS8 1TU, UK
| | | | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, 68159, Mannheim, Germany
| | - Alec Roy
- Psychiatry Service, Department of Veteran Affairs, New Jersey VA Health Care System, East Orange, NJ, 07018, USA
| | - Dan Rujescu
- Department of Psychiatry, Universitätsklinikum Halle (Saale), 06112, Halle (Saale), Germany
| | - Sirkku T Saarikoski
- Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, 00271, Finland
| | - Gary E Swan
- Department of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, 94304, USA
| | - Alexandre A Todorov
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Michael M Vanyukov
- Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Robert B Weiss
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, 84112, USA
| | - Laura J Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Nancy L Saccone
- Department of Genetics, Washington University School of Medicine, 4523 Clayton Avenue, Campus Box 8232, St. Louis, MO, 63110, USA.
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Cadoni C. Fischer 344 and Lewis Rat Strains as a Model of Genetic Vulnerability to Drug Addiction. Front Neurosci 2016; 10:13. [PMID: 26903787 PMCID: PMC4746315 DOI: 10.3389/fnins.2016.00013] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2015] [Accepted: 01/11/2016] [Indexed: 01/02/2023] Open
Abstract
Today it is well acknowledged that both nature and nurture play important roles in the genesis of psychopathologies, including drug addiction. Increasing evidence suggests that genetic factors contribute for at least 40–60% of the variation in liability to drug dependence. Human genetic studies suggest that multiple genes of small effect, rather than single genes, contribute to the genesis of behavioral psychopathologies. Therefore, the use of inbred rat strains might provide a valuable tool to identify differences, linked to genotype, important in liability to addiction and related disorders. In this regard, Lewis and Fischer 344 inbred rats have been proposed as a model of genetic vulnerability to drug addiction, given their innate differences in sensitivity to the reinforcing and rewarding effects of drugs of abuse, as well their different responsiveness to stressful stimuli. This review will provide evidence in support of this model for the study of the genetic influence on addiction vulnerability, with particular emphasis on differences in mesolimbic dopamine (DA) transmission, rewarding and emotional function. It will be highlighted that Lewis and Fischer 344 rats differ not only in several indices of DA transmission and adaptive changes following repeated drug exposure, but also in hypothalamic-pituitary-adrenal (HPA) axis responsiveness, influencing not only the ability of the individual to cope with stressful events, but also interfering with rewarding and motivational processes, given the influence of corticosteroids on dopamine neuron functionality. Further differences between the two strains, as impulsivity or anxiousness, might contribute to their different proneness to addiction, and likely these features might be linked to their different DA neurotransmission plasticity. Although differences in other neurotransmitter systems might deserve further investigation, results from the reviewed studies might open new vistas in understanding aberrant deviations in reward and motivational functions.
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Affiliation(s)
- Cristina Cadoni
- Institute of Neuroscience, Cagliari Section, Department of Biomedical Sciences, National Research Council of ItalyCagliari, Italy; Centre of Excellence "Neurobiology of Dependence", University of CagliariCagliari, Italy
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Systems genetics of intravenous cocaine self-administration in the BXD recombinant inbred mouse panel. Psychopharmacology (Berl) 2016; 233:701-14. [PMID: 26581503 PMCID: PMC4803082 DOI: 10.1007/s00213-015-4147-z] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Accepted: 10/31/2015] [Indexed: 12/31/2022]
Abstract
RATIONALE Cocaine addiction is a major public health problem with a substantial genetic basis for which the biological mechanisms remain largely unknown. Systems genetics is a powerful method for discovering novel mechanisms underlying complex traits, and intravenous drug self-administration (IVSA) is the gold standard for assessing volitional drug use in preclinical studies. We have integrated these approaches to identify novel genes and networks underlying cocaine use in mice. METHODS Mice from 39 BXD strains acquired cocaine IVSA (0.56 mg/kg/infusion). Mice from 29 BXD strains completed a full dose-response curve (0.032-1.8 mg/kg/infusion). We identified independent genetic correlations between cocaine IVSA and measures of environmental exploration and cocaine sensitization. We identified genome-wide significant quantitative trait loci (QTL) on chromosomes 7 and 11 associated with shifts in the dose-response curve and on chromosome 16 associated with sessions to acquire cocaine IVSA. Using publicly available gene expression data from the nucleus accumbens, midbrain, and prefrontal cortex of drug-naïve mice, we identified Aplp1 and Cyfip2 as positional candidates underlying the behavioral QTL on chromosomes 7 and 11, respectively. A genome-wide significant trans-eQTL linking Fam53b (a GWAS candidate for human cocaine dependence) on chromosome 7 to the cocaine IVSA behavioral QTL on chromosome 11 was identified in the midbrain; Fam53b and Cyfip2 were co-expressed genome-wide significantly in the midbrain. This finding indicates that cocaine IVSA studies using mice can identify genes involved in human cocaine use. CONCLUSIONS These data provide novel candidate genes underlying cocaine IVSA in mice and suggest mechanisms driving human cocaine use.
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Neuroscience of resilience and vulnerability for addiction medicine. PROGRESS IN BRAIN RESEARCH 2016; 223:3-18. [DOI: 10.1016/bs.pbr.2015.09.004] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Fernàndez-Castillo N, Cabana-Domínguez J, Soriano J, Sànchez-Mora C, Roncero C, Grau-López L, Ros-Cucurull E, Daigre C, van Donkelaar MMJ, Franke B, Casas M, Ribasés M, Cormand B. Transcriptomic and genetic studies identify NFAT5 as a candidate gene for cocaine dependence. Transl Psychiatry 2015; 5:e667. [PMID: 26506053 PMCID: PMC4930134 DOI: 10.1038/tp.2015.158] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2015] [Accepted: 08/19/2015] [Indexed: 11/29/2022] Open
Abstract
Cocaine reward and reinforcing effects are mediated mainly by dopaminergic neurotransmission. In this study, we aimed at evaluating gene expression changes induced by acute cocaine exposure on SH-SY5Y-differentiated cells, which have been widely used as a dopaminergic neuronal model. Expression changes and a concomitant increase in neuronal activity were observed after a 5 μM cocaine exposure, whereas no changes in gene expression or in neuronal activity took place at 1 μM cocaine. Changes in gene expression were identified in a total of 756 genes, mainly related to regulation of transcription and gene expression, cell cycle, adhesion and cell projection, as well as mitogen-activeated protein kinase (MAPK), CREB, neurotrophin and neuregulin signaling pathways. Some genes displaying altered expression were subsequently targeted with predicted functional single-nucleotide polymorphisms (SNPs) in a case-control association study in a sample of 806 cocaine-dependent patients and 817 controls. This study highlighted associations between cocaine dependence and five SNPs predicted to alter microRNA binding at the 3'-untranslated region of the NFAT5 gene. The association of SNP rs1437134 with cocaine dependence survived the Bonferroni correction for multiple testing. A functional effect was confirmed for this variant by a luciferase reporter assay, with lower expression observed for the rs1437134G allele, which was more pronounced in the presence of hsa-miR-509. However, brain volumes in regions of relevance to addiction, as assessed with magnetic resonance imaging, did not correlate with NFAT5 variation. These results suggest that the NFAT5 gene, which is upregulated a few hours after cocaine exposure, may be involved in the genetic predisposition to cocaine dependence.
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Affiliation(s)
- N Fernàndez-Castillo
- Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona, Spain
- Institut de Biomedicina de la Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - J Cabana-Domínguez
- Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona, Spain
| | - J Soriano
- Departament d'Estructura i Constituents de la Matèria, Universitat de Barcelona, Barcelona, Spain
| | - C Sànchez-Mora
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Psychiatric Genetics Unit, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
- Biomedical Network Research Center on Mental Health (CIBERSAM), Barcelona, Spain
| | - C Roncero
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Center on Mental Health (CIBERSAM), Barcelona, Spain
- Addiction and Dual Diagnosis Unit, Psychiatric Service, Hospital Universitari Vall d'Hebron, Agència de Salut Pública, Barcelona, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - L Grau-López
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Center on Mental Health (CIBERSAM), Barcelona, Spain
- Addiction and Dual Diagnosis Unit, Psychiatric Service, Hospital Universitari Vall d'Hebron, Agència de Salut Pública, Barcelona, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - E Ros-Cucurull
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Addiction and Dual Diagnosis Unit, Psychiatric Service, Hospital Universitari Vall d'Hebron, Agència de Salut Pública, Barcelona, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - C Daigre
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Center on Mental Health (CIBERSAM), Barcelona, Spain
- Addiction and Dual Diagnosis Unit, Psychiatric Service, Hospital Universitari Vall d'Hebron, Agència de Salut Pública, Barcelona, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - M M J van Donkelaar
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Raboud University, Nijmegen, The Netherlands
| | - B Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Raboud University, Nijmegen, The Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - M Casas
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Center on Mental Health (CIBERSAM), Barcelona, Spain
- Addiction and Dual Diagnosis Unit, Psychiatric Service, Hospital Universitari Vall d'Hebron, Agència de Salut Pública, Barcelona, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - M Ribasés
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Psychiatric Genetics Unit, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
- Biomedical Network Research Center on Mental Health (CIBERSAM), Barcelona, Spain
| | - B Cormand
- Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona, Spain
- Institut de Biomedicina de la Universitat de Barcelona, Barcelona, Catalonia, Spain
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Mitochondrial DNA Haplogroup A Decreases the Risk of Drug Addiction but Conversely Increases the Risk of HIV-1 Infection in Chinese Addicts. Mol Neurobiol 2015; 53:3873-3881. [PMID: 26162319 DOI: 10.1007/s12035-015-9323-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2015] [Accepted: 06/24/2015] [Indexed: 01/19/2023]
Abstract
Drug addiction is one of the most serious social problems in the world today and addicts are always at a high risk of acquiring HIV infection. Mitochondrial impairment has been reported in both drug addicts and in HIV patients undergoing treatment. In this study, we aimed to investigate whether mitochondrial DNA (mtDNA) haplogroup could affect the risk of drug addiction and HIV-1 infection in Chinese. We analyzed mtDNA sequence variations of 577 Chinese intravenous drug addicts (289 with HIV-1 infection and 288 without) and compared with 2 control populations (n = 362 and n = 850). We quantified the viral load in HIV-1-infected patients with and without haplogroup A status and investigated the potential effect of haplogroup A defining variants m.4824A > G and m.8794C > T on the cellular reactive oxygen species (ROS) levels by using an allotopic expression assay. mtDNA haplogroup A had a protective effect against drug addiction but appeared to confer an increased risk of HIV infection in addicts. HIV-1-infected addicts with haplogroup A had a trend for a higher viral load, although the mean viral load was similar between carriers of haplogroup A and those with other haplogroup. Hela cells overexpressing allele m.8794 T showed significantly decreased ROS levels as compared to cells with the allele m.8794C (P = 0.03). Our results suggested that mtDNA haplogroup A might protect against drug addiction but increase the risk of HIV-1 infection. The contradictory role of haplogroup A might be caused by an alteration in mitochondrial function due to a particular mtDNA ancestral variant.
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Schoenthaler SJ, Blum K, Braverman ER, Giordano J, Thompson B, Oscar-Berman M, Badgaiyan RD, Madigan MA, Dushaj K, Li M, Demotrovics Z, Waite RL, Gold MS. NIDA-Drug Addiction Treatment Outcome Study (DATOS) Relapse as a Function of Spirituality/Religiosity. JOURNAL OF REWARD DEFICIENCY SYNDROME 2015; 1:36-45. [PMID: 26052556 PMCID: PMC4455957 DOI: 10.17756/jrds.2015-007] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND The connection between religion/spirituality and deviance, like substance abuse, was first made by Durkheim who defined socially expected behaviors as norms. He explained that deviance is due in large part to their absence (called anomie), and concluded that spirituality lowers deviance by preserving norms and social bonds. Impairments in brain reward circuitry, as observed in Reward Deficiency Syndrome (RDS), may also result in deviance and as such we wondered if stronger belief in spirituality practice and religious belief could lower relapse from drugs of abuse. METHODS The NIDA Drug Addiction Treatment Outcome Study data set was used to examine post hoc relapse rates among 2,947 clients who were interviewed at 12 months after intake broken down by five spirituality measures. RESULTS Our main findings strongly indicate, that those with low spirituality have higher relapse rates and those with high spirituality have higher remission rates with crack use being the sole exception. We found significant differences in terms of cocaine, heroin, alcohol, and marijuana relapse as a function of strength of religious beliefs (x2 = 15.18, p = 0.028; logistic regression = 10.65, p = 0.006); frequency of attending religious services (x2 = 40.78, p < 0.0005; logistic regression = 30.45, p < 0.0005); frequency of reading religious books (x2 = 27.190, p < 0.0005; logistic regression = 17.31, p < 0.0005); frequency of watching religious programs (x2 = 19.02, p = 0.002; logistic regression = ns); and frequency of meditation/prayer (x2 = 11.33, p = 0.045; logistic regression = 9.650, p = 0.002). Across the five measures of spirituality, the spiritual participants reported between 7% and 21% less alcohol, cocaine, heroin, and marijuana use than the non-spiritual subjects. However, the crack users who reported that religion was not important reported significantly less crack use than the spiritual participants. The strongest association between remission and spirituality involves attending religious services weekly, the one marker of the five that involves the highest social interaction/social bonding consistent with Durkheim's social bond theory. CONCLUSIONS Stronger spiritual/religious beliefs and practices are directly associated with remission from abused drugs except crack. Much like the value of having a sponsor, for clients who abuse drugs, regular spiritual practice, particularly weekly attendance at the religious services of their choice is associated with significantly higher remission. These results demonstrate the clinically significant role of spirituality and the social bonds it creates in drug treatment programs.
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Affiliation(s)
| | - Kenneth Blum
- Department of Psychiatry & McKnight Brain Institute, University of Florida College of Medicine, Gainesville, FL, USA
- Department of Neurology, PATH Foundation NY, New York, NY, USA
- Department of Clinical Research, National Institute for Holistic Addiction Studies, North Miami Beach, FL, USA
- Department of Psychiatry, Human Integrated Services Unit, University of Vermont Center for Clinical & Translational Science, University of Vermont College of Medicine, Burlington, VT, USA
- Department of Nutrigenomics, Igene, Inc., Austin, TX, USA
- Department of Addiction Research & Therapy, Malibu Beach Recovery Center, Malibu, CA, USA
- Dominion Diagnostics, LLC, North Kingston, RI, USA
| | - Eric R. Braverman
- Department of Psychiatry & McKnight Brain Institute, University of Florida College of Medicine, Gainesville, FL, USA
- Department of Neurology, PATH Foundation NY, New York, NY, USA
| | - John Giordano
- Department of Clinical Research, National Institute for Holistic Addiction Studies, North Miami Beach, FL, USA
| | - Ben Thompson
- Departments of Psychiatry, Anatomy, & Neurobiology, Boston VA and Boston University School of Medicine, Boston, MA, USA
| | - Marlene Oscar-Berman
- Departments of Psychiatry, Anatomy, & Neurobiology, Boston VA and Boston University School of Medicine, Boston, MA, USA
| | - Rajendra D. Badgaiyan
- Department of Psychiatry, University of Minnesota College of Medicine, Minneapolis, MN, USA
| | | | - Kristina Dushaj
- Department of Neurology, PATH Foundation NY, New York, NY, USA
| | - Mona Li
- Department of Neurology, PATH Foundation NY, New York, NY, USA
| | - Zsolt Demotrovics
- Eotvos Lorand University, Institute of Psychology, Department of Clinical Psychology and Addiction, Izabella utca 46, H-1064, Budapest, Hungary
| | - Roger L. Waite
- Department of Nutrigenomics, RDSolutions, Inc., Salt Lake City, UT, USA
| | - Mark S. Gold
- Director of Research, Drug Enforcement Administration (DEA) Educational Foundation, Washington, D.C, USA
- Departments of Psychiatry & Behavioral Sciences at the Keck, University of Southern California, School of Medicine, CA, USA
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Stanis JJ, Andersen SL. Reducing substance use during adolescence: a translational framework for prevention. Psychopharmacology (Berl) 2014; 231:1437-53. [PMID: 24464527 PMCID: PMC3969413 DOI: 10.1007/s00213-013-3393-1] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2013] [Accepted: 11/30/2013] [Indexed: 11/30/2022]
Abstract
RATIONALE Most substance use is initiated during adolescence when substantial development of relevant brain circuitry is still rapidly maturing. Developmental differences in reward processing, behavioral flexibility, and self-regulation lead to changes in resilience or vulnerability to drugs of abuse depending on exposure to risk factors. Intervention and prevention approaches to reducing addiction in teens may be able to capitalize on malleable brain systems in a predictable manner. OBJECTIVE This review will highlight what is known about how factors that increase vulnerability to addiction, including developmental stage, exposure to early life adversity (ranging from abuse, neglect, and bullying), drug exposure, and genetic predisposition, impact the development of relevant systems. RESULTS AND CONCLUSIONS Appropriate, early intervention may restore the normal course of an abnormal trajectory and reduce the likelihood of developing a substance use disorder (SUD) later in life. A considerable amount is known about the functional neuroanatomy and/or pharmacology of risky behaviors based on clinical and preclinical studies, but relatively little has been directly translated to reduce their impact on addiction in high-risk children or teenagers. An opportunity exists to effectively intervene before adolescence when substance use is likely to emerge.
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Affiliation(s)
- Jessica J Stanis
- Laboratory of Developmental Neuropharmacology, McLean Hospital and Department of Psychiatry, Harvard Medical School, Mailstop 333, 115 Mill Street, Belmont, MA, 02478, USA
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Velasquez KM, Molfese DL, Salas R. The role of the habenula in drug addiction. Front Hum Neurosci 2014; 8:174. [PMID: 24734015 PMCID: PMC3975120 DOI: 10.3389/fnhum.2014.00174] [Citation(s) in RCA: 98] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2013] [Accepted: 03/09/2014] [Indexed: 01/06/2023] Open
Abstract
Interest in the habenula has greatly increased in recent years. The habenula is a small brain structure located posterior to the thalamus and adjacent to the third ventricle. Despite its small size, the habenula can be divided into medial habenula (MHb) and lateral habenula (LHb) nuclei that are anatomically and transcriptionally distinct. The habenula receives inputs from the limbic system and basal ganglia primarily via the stria medullaris. The fasciculus retroflexus is the primary habenular output from the habenula to the midbrain and governs release of glutamate onto gabaergic cells in the rostromedial tegmental nucleus (RMTg) and onto the interpeduncular nucleus. The resulting GABA released from RMTg neurons inactivates dopaminergic cells in the ventral tegmental area/substantia nigra compacta. Through this process, the habenula controls dopamine levels in the striatum. Thus, the habenula plays a critical role in reward and reward-associated learning. The LHb also modulates serotonin levels and norepinephrine release, while the MHb modulates acetylcholine. The habenula is a critical crossroad that influences the brain’s response to pain, stress, anxiety, sleep, and reward. Dysfunction of the habenula has been linked to depression, schizophrenia, and the effects of drugs of abuse. This review focuses on the possible relationships between the habenula and drug abuse.
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Affiliation(s)
- Kenia M Velasquez
- Department of Psychiatry, Baylor College of Medicine Houston, TX, USA
| | - David L Molfese
- Department of Psychiatry, Baylor College of Medicine Houston, TX, USA
| | - Ramiro Salas
- Department of Psychiatry, Baylor College of Medicine Houston, TX, USA
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Belcher AM, Volkow ND, Moeller FG, Ferré S. Personality traits and vulnerability or resilience to substance use disorders. Trends Cogn Sci 2014; 18:211-7. [PMID: 24612993 DOI: 10.1016/j.tics.2014.01.010] [Citation(s) in RCA: 101] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2013] [Revised: 01/29/2014] [Accepted: 01/30/2014] [Indexed: 12/11/2022]
Abstract
Clear evidence supports a genetic basis for substance use disorders (SUD). Yet, the search to identify individual gene contributions to SUD has been unsuccessful. Here, we argue for the study of endophenotypes within the frame of individual differences, and identify three high-order personality traits that are tied to specific brain systems and genes, and that offer a tractable approach to studying SUD. These personality traits, and the genes that moderate them, interact dynamically with the environment and with the drugs themselves to determine ultimately an individual's vulnerability or resilience to developing SUD.
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Affiliation(s)
- Annabelle M Belcher
- National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
| | - Nora D Volkow
- National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD 20892, USA
| | - F Gerard Moeller
- Departments of Psychiatry and Pharmacology and Toxicology, Virginia Commonwealth University School of Medicine, Richmond, VA 23219, USA
| | - Sergi Ferré
- National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA.
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Thompson MD, Cole DEC, Capra V, Siminovitch KA, Rovati GE, Burnham WM, Rana BK. Pharmacogenetics of the G protein-coupled receptors. Methods Mol Biol 2014; 1175:189-242. [PMID: 25150871 DOI: 10.1007/978-1-4939-0956-8_9] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Pharmacogenetics investigates the influence of genetic variants on physiological phenotypes related to drug response and disease, while pharmacogenomics takes a genome-wide approach to advancing this knowledge. Both play an important role in identifying responders and nonresponders to medication, avoiding adverse drug reactions, and optimizing drug dose for the individual. G protein-coupled receptors (GPCRs) are the primary target of therapeutic drugs and have been the focus of these studies. With the advance of genomic technologies, there has been a substantial increase in the inventory of naturally occurring rare and common GPCR variants. These variants include single-nucleotide polymorphisms and insertion or deletions that have potential to alter GPCR expression of function. In vivo and in vitro studies have determined functional roles for many GPCR variants, but genetic association studies that define the physiological impact of the majority of these common variants are still limited. Despite the breadth of pharmacogenetic data available, GPCR variants have not been included in drug labeling and are only occasionally considered in optimizing clinical use of GPCR-targeted agents. In this chapter, pharmacogenetic and genomic studies on GPCR variants are reviewed with respect to a subset of GPCR systems, including the adrenergic, calcium sensing, cysteinyl leukotriene, cannabinoid CB1 and CB2 receptors, and the de-orphanized receptors such as GPR55. The nature of the disruption to receptor function is discussed with respect to regulation of gene expression, expression on the cell surface (affected by receptor trafficking, dimerization, desensitization/downregulation), or perturbation of receptor function (altered ligand binding, G protein coupling, constitutive activity). The large body of experimental data generated on structure and function relationships and receptor-ligand interactions are being harnessed for the in silico functional prediction of naturally occurring GPCR variants. We provide information on online resources dedicated to GPCRs and present applications of publically available computational tools for pharmacogenetic studies of GPCRs. As the breadth of GPCR pharmacogenomic data becomes clearer, the opportunity for routine assessment of GPCR variants to predict disease risk, drug response, and potential adverse drug effects will become possible.
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Affiliation(s)
- Miles D Thompson
- Department of Pharmacology and Toxicology, Faculty of Medicine, University of Toronto, 1 King's College Circle, Toronto, ON, Canada, M5S 1A8,
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Scott Hall F. What do Differences in Emotional Regulation in Individuals Addicted to Different Substances Tell us About Addiction Treatment? INTERNATIONAL JOURNAL OF HIGH RISK BEHAVIORS AND ADDICTION 2013; 2:92-3. [PMID: 24971282 PMCID: PMC4070148 DOI: 10.5812/ijhrba.14630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/04/2013] [Revised: 09/15/2013] [Accepted: 09/17/2013] [Indexed: 11/22/2022]
Affiliation(s)
- Frank Scott Hall
- Molecular Neurobiology Branch, NIDA-IRP/NIH/DHHS, Baltimore, USA
- Corresponding author: Frank Scott Hall, Molecular Neurobiology Branch, NIDA-IRP/NIH/DHHS, Baltimore, USA, Tel.: +1-4437402796, Fax: +1-4437402122, E-mail:
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