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Gerring ZF, Thorp JG, Treur JL, Verweij KJH, Derks EM. The genetic landscape of substance use disorders. Mol Psychiatry 2024; 29:3694-3705. [PMID: 38811691 DOI: 10.1038/s41380-024-02547-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 03/21/2024] [Accepted: 03/28/2024] [Indexed: 05/31/2024]
Abstract
Substance use disorders represent a significant public health concern with considerable socioeconomic implications worldwide. Twin and family-based studies have long established a heritable component underlying these disorders. In recent years, genome-wide association studies of large, broadly phenotyped samples have identified regions of the genome that harbour genetic risk variants associated with substance use disorders. These regions have enabled the discovery of putative causal genes and improved our understanding of genetic relationships among substance use disorders and other traits. Furthermore, the integration of these data with clinical information has yielded promising insights into how individuals respond to medications, allowing for the development of personalized treatment approaches based on an individual's genetic profile. This review article provides an overview of recent advances in the genetics of substance use disorders and demonstrates how genetic data may be used to reduce the burden of disease and improve public health outcomes.
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Affiliation(s)
- Zachary F Gerring
- Translational Neurogenomics Laboratory, Mental Health and Neuroscience, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jackson G Thorp
- Translational Neurogenomics Laboratory, Mental Health and Neuroscience, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jorien L Treur
- Department of Psychiatry, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
| | - Karin J H Verweij
- Department of Psychiatry, Amsterdam UMC, location University of Amsterdam, Amsterdam, the Netherlands
| | - Eske M Derks
- Translational Neurogenomics Laboratory, Mental Health and Neuroscience, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
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Johnson B, Alho H, Addolorato G, Lesch OM, Chick J, Liu L, Schuyler V. Low-dose ondansetron: A candidate prospective precision medicine to treat alcohol use disorder endophenotypes. Eur J Intern Med 2024; 127:50-62. [PMID: 38876929 DOI: 10.1016/j.ejim.2024.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/27/2024] [Accepted: 06/03/2024] [Indexed: 06/16/2024]
Abstract
BACKGROUND Alcohol use disorder (AUD) is among the leading causes of morbidity and mortality worldwide, and over 95 million people live with alcohol dependence globally. The estimated heritability of AUD is 50-60 %, and multiple genes are thought to contribute to various endophenotypes of the disease. Previous clinical trials support a precision medicine approach using ondansetron (AD04, a 5-HT3 antagonist) by segregating AUD populations by the bio-genetic endophenotype of specific serotonergic genotypes and the bio-psychosocial endophenotype of the severity of drinking or both. By targeting the modulation of biogenetic signaling within the biopsychosocial context of AUD, low-dose AD04 holds promise in reducing alcohol consumption among affected individuals while minimizing adverse effects. METHODS This was a phase III, 6-month, 25-site, randomized, placebo-controlled clinical trial using AD04 to treat DSM-V-categorized AUD individuals who were pre-stratified into the endophenotypes of heavy or very heavy drinking individuals and possessed a pre-defined profile of genetic variants related to the serotonin transporter and serotonin-3AB receptor. Participants (N = 303) presented moderate to severe AUD, >80 % were men, mostly in their fifties, and >95 % were of European descent. Low-dose AD04 (approx. 033 mg twice daily) or a matching placebo was administered twice daily for 6 months. Brief Behavioral Compliance Enhancement Treatment (BBCET [53]) was administered every two weeks to enhance medication compliance and clinic attendance. RESULTS There was a significant reduction in the monthly percentage of heavy drinking days, PHDD (-46·7 % (2·7 %), 95 %CI: -52·1 % to -41·2 % vs. -38·1 % (2·9 %), 95 %CI: -43·8 % to -32·5 %, respectively; LS mean difference=-8·5 %; p = 0.03) among AD04-treated vs. placebo-receiving heavy drinking individuals at month 6. Heavy drinking individuals were also less likely to be diagnosed with AUD [Month 1: -32·0 % (2·8 %), 95 %CI: -37·5 % to -26·5 % vs. -23·2 % (2·9 %), 95 %CI: -28·9 to -17·5 %; LS mean difference= -8·8 %; p = 0·026)], and improved on the WHO quality of life BREF scale with a significant effect for at least a 1-level downward shift (OR = 3.4; 95 % CI: 1·03-11·45, p = 0·044). Importantly, heavy drinking individuals, as distinct from very heavy drinking individuals, were the bio-psychosocial endophenotype more predictive of therapeutic response to AD04. AD04 had an exceptional safety and tolerability profile, like the placebo's. CONCLUSIONS In this Phase 3 clinical trial, AD04 was shown to be a promising treatment for currently drinking heavy drinking individuals with AUD who also possess a specific genotypic profile in the serotonin transporter and serotonin-3AB receptor complex. Using AD04 to reduce the harm of AUD in heavy drinking individuals who are currently drinking, without the necessity of abstinence or detoxification from alcohol use, is an important advance in the field of precision medicine. AD04's adverse events profile, which was like placebo, should enhance accessibility and acceptance of modern medical treatment for AUD by lowering the incorrect but commonly perceived stigma of personal failure.
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Affiliation(s)
- Bankole Johnson
- Adial Pharmaceuticals Inc., Division of Biomedical Sciences, Larkin University, Miami, USA.
| | - Hannu Alho
- Addiction Medicine, Faculty of Medicine, University of Helsinki, Finland; Addictum Helsinki, Finland
| | - Giovanni Addolorato
- Department of Medical and Surgical Sciences, Catholic University of Rome, Internal Medicine and Alcohol Related Disease Unit, Columbus-Gemelli Hospital, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | | | | | - Lei Liu
- Division of Biostatistics, Washington University in St. Louis, St. Louis, MO, USA
| | - Vinzant Schuyler
- Adial Pharmaceuticals Inc., Division of Biomedical Sciences, Larkin University, Miami, USA
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Morley KC, Kranzler HR, Luquin N, Jamshidi N, Adams C, Montebello M, Tremonti C, Dali G, Logge W, Baillie A, Teesson M, Trent R, Haber PS. Topiramate Versus Naltrexone for Alcohol Use Disorder: A Genotype-Stratified Double-Blind Randomized Controlled Trial. Am J Psychiatry 2024; 181:403-411. [PMID: 38706338 DOI: 10.1176/appi.ajp.20230666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
OBJECTIVE There have been no well-controlled and well-powered comparative trials of topiramate with other pharmacotherapies for alcohol use disorder (AUD), such as naltrexone. Moreover, the literature is mixed on the effects of two polymorphisms-rs2832407 (in GRIK1) and rs1799971 (in OPRM1)-on response to topiramate and naltrexone, respectively. The authors sought to examine the comparative effectiveness of topiramate and naltrexone in improving outcomes in AUD and to examine the role of the rs2832407 and rs1799971 polymorphisms, respectively, on response to these medications. METHODS In a 12-week, double-blind, placebo-controlled, randomized, multisite, genotype-stratified (rs2832407 and rs1799971) clinical trial comparing topiramate and naltrexone in treating AUD, 147 patients with AUD were randomly assigned to treatment with topiramate or naltrexone, stratified by genotype (rs2832407*CC and *AC/AA genotypes and rs1799971*AA and *AG/GG genotypes). The predefined primary outcome was number of heavy drinking days per week. Predefined secondary outcomes included standard drinks per drinking day per week, body mass index (BMI), craving, markers of liver injury, mood, and adverse events. RESULTS For the number of heavy drinking days per week, there was a near-significant time-by-treatment interaction. For the number of standard drinks per drinking day per week, there was a significant time-by-treatment interaction, which favored topiramate. There were significant time-by-treatment effects, with greater reductions observed with topiramate than naltrexone for BMI, craving, and gamma-glutamyltransferase level. Withdrawal due to side effects occurred in 8% and 5% of the topiramate and naltrexone groups, respectively. Neither polymorphism showed an effect on treatment response. CONCLUSIONS Topiramate is at least as effective and safe as the first-line medication, naltrexone, in reducing heavy alcohol consumption, and superior in reducing some clinical outcomes. Neither rs2832407 nor rs1799971 had effects on topiramate and naltrexone treatments, respectively.
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Affiliation(s)
- Kirsten C Morley
- Specialty of Addiction Medicine, Sydney Medical School (Morley, Adams, Montebello, Tremonti, Dali, Logge, Haber), School of Health Sciences (Baillie), and Matilda Centre for Mental Health and Substance Use (Teesson), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Edith Collins Centre for Translational Research in Alcohol, Drugs, and Toxicology (Morley, Jamshidi, Logge, Haber) and Department of Medical Genomics (Luquin, Trent), Royal Prince Alfred Hospital, Camperdown, Australia; Center for Studies of Addiction, Perelman School of Medicine, University of Pennsylvania, and Mental Illness Research, Education, and Clinical Center, Crescenz VA Medical Center, Philadelphia (Kranzler); Northern Sydney Local Health District Drug and Alcohol Services, St Leonards, Australia (Montebello); St Vincent's Hospital Sydney, Sydney, Australia (Tremonti)
| | - Henry R Kranzler
- Specialty of Addiction Medicine, Sydney Medical School (Morley, Adams, Montebello, Tremonti, Dali, Logge, Haber), School of Health Sciences (Baillie), and Matilda Centre for Mental Health and Substance Use (Teesson), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Edith Collins Centre for Translational Research in Alcohol, Drugs, and Toxicology (Morley, Jamshidi, Logge, Haber) and Department of Medical Genomics (Luquin, Trent), Royal Prince Alfred Hospital, Camperdown, Australia; Center for Studies of Addiction, Perelman School of Medicine, University of Pennsylvania, and Mental Illness Research, Education, and Clinical Center, Crescenz VA Medical Center, Philadelphia (Kranzler); Northern Sydney Local Health District Drug and Alcohol Services, St Leonards, Australia (Montebello); St Vincent's Hospital Sydney, Sydney, Australia (Tremonti)
| | - Natasha Luquin
- Specialty of Addiction Medicine, Sydney Medical School (Morley, Adams, Montebello, Tremonti, Dali, Logge, Haber), School of Health Sciences (Baillie), and Matilda Centre for Mental Health and Substance Use (Teesson), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Edith Collins Centre for Translational Research in Alcohol, Drugs, and Toxicology (Morley, Jamshidi, Logge, Haber) and Department of Medical Genomics (Luquin, Trent), Royal Prince Alfred Hospital, Camperdown, Australia; Center for Studies of Addiction, Perelman School of Medicine, University of Pennsylvania, and Mental Illness Research, Education, and Clinical Center, Crescenz VA Medical Center, Philadelphia (Kranzler); Northern Sydney Local Health District Drug and Alcohol Services, St Leonards, Australia (Montebello); St Vincent's Hospital Sydney, Sydney, Australia (Tremonti)
| | - Nazila Jamshidi
- Specialty of Addiction Medicine, Sydney Medical School (Morley, Adams, Montebello, Tremonti, Dali, Logge, Haber), School of Health Sciences (Baillie), and Matilda Centre for Mental Health and Substance Use (Teesson), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Edith Collins Centre for Translational Research in Alcohol, Drugs, and Toxicology (Morley, Jamshidi, Logge, Haber) and Department of Medical Genomics (Luquin, Trent), Royal Prince Alfred Hospital, Camperdown, Australia; Center for Studies of Addiction, Perelman School of Medicine, University of Pennsylvania, and Mental Illness Research, Education, and Clinical Center, Crescenz VA Medical Center, Philadelphia (Kranzler); Northern Sydney Local Health District Drug and Alcohol Services, St Leonards, Australia (Montebello); St Vincent's Hospital Sydney, Sydney, Australia (Tremonti)
| | - Claire Adams
- Specialty of Addiction Medicine, Sydney Medical School (Morley, Adams, Montebello, Tremonti, Dali, Logge, Haber), School of Health Sciences (Baillie), and Matilda Centre for Mental Health and Substance Use (Teesson), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Edith Collins Centre for Translational Research in Alcohol, Drugs, and Toxicology (Morley, Jamshidi, Logge, Haber) and Department of Medical Genomics (Luquin, Trent), Royal Prince Alfred Hospital, Camperdown, Australia; Center for Studies of Addiction, Perelman School of Medicine, University of Pennsylvania, and Mental Illness Research, Education, and Clinical Center, Crescenz VA Medical Center, Philadelphia (Kranzler); Northern Sydney Local Health District Drug and Alcohol Services, St Leonards, Australia (Montebello); St Vincent's Hospital Sydney, Sydney, Australia (Tremonti)
| | - Mark Montebello
- Specialty of Addiction Medicine, Sydney Medical School (Morley, Adams, Montebello, Tremonti, Dali, Logge, Haber), School of Health Sciences (Baillie), and Matilda Centre for Mental Health and Substance Use (Teesson), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Edith Collins Centre for Translational Research in Alcohol, Drugs, and Toxicology (Morley, Jamshidi, Logge, Haber) and Department of Medical Genomics (Luquin, Trent), Royal Prince Alfred Hospital, Camperdown, Australia; Center for Studies of Addiction, Perelman School of Medicine, University of Pennsylvania, and Mental Illness Research, Education, and Clinical Center, Crescenz VA Medical Center, Philadelphia (Kranzler); Northern Sydney Local Health District Drug and Alcohol Services, St Leonards, Australia (Montebello); St Vincent's Hospital Sydney, Sydney, Australia (Tremonti)
| | - Chris Tremonti
- Specialty of Addiction Medicine, Sydney Medical School (Morley, Adams, Montebello, Tremonti, Dali, Logge, Haber), School of Health Sciences (Baillie), and Matilda Centre for Mental Health and Substance Use (Teesson), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Edith Collins Centre for Translational Research in Alcohol, Drugs, and Toxicology (Morley, Jamshidi, Logge, Haber) and Department of Medical Genomics (Luquin, Trent), Royal Prince Alfred Hospital, Camperdown, Australia; Center for Studies of Addiction, Perelman School of Medicine, University of Pennsylvania, and Mental Illness Research, Education, and Clinical Center, Crescenz VA Medical Center, Philadelphia (Kranzler); Northern Sydney Local Health District Drug and Alcohol Services, St Leonards, Australia (Montebello); St Vincent's Hospital Sydney, Sydney, Australia (Tremonti)
| | - Gezelle Dali
- Specialty of Addiction Medicine, Sydney Medical School (Morley, Adams, Montebello, Tremonti, Dali, Logge, Haber), School of Health Sciences (Baillie), and Matilda Centre for Mental Health and Substance Use (Teesson), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Edith Collins Centre for Translational Research in Alcohol, Drugs, and Toxicology (Morley, Jamshidi, Logge, Haber) and Department of Medical Genomics (Luquin, Trent), Royal Prince Alfred Hospital, Camperdown, Australia; Center for Studies of Addiction, Perelman School of Medicine, University of Pennsylvania, and Mental Illness Research, Education, and Clinical Center, Crescenz VA Medical Center, Philadelphia (Kranzler); Northern Sydney Local Health District Drug and Alcohol Services, St Leonards, Australia (Montebello); St Vincent's Hospital Sydney, Sydney, Australia (Tremonti)
| | - Warren Logge
- Specialty of Addiction Medicine, Sydney Medical School (Morley, Adams, Montebello, Tremonti, Dali, Logge, Haber), School of Health Sciences (Baillie), and Matilda Centre for Mental Health and Substance Use (Teesson), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Edith Collins Centre for Translational Research in Alcohol, Drugs, and Toxicology (Morley, Jamshidi, Logge, Haber) and Department of Medical Genomics (Luquin, Trent), Royal Prince Alfred Hospital, Camperdown, Australia; Center for Studies of Addiction, Perelman School of Medicine, University of Pennsylvania, and Mental Illness Research, Education, and Clinical Center, Crescenz VA Medical Center, Philadelphia (Kranzler); Northern Sydney Local Health District Drug and Alcohol Services, St Leonards, Australia (Montebello); St Vincent's Hospital Sydney, Sydney, Australia (Tremonti)
| | - Andrew Baillie
- Specialty of Addiction Medicine, Sydney Medical School (Morley, Adams, Montebello, Tremonti, Dali, Logge, Haber), School of Health Sciences (Baillie), and Matilda Centre for Mental Health and Substance Use (Teesson), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Edith Collins Centre for Translational Research in Alcohol, Drugs, and Toxicology (Morley, Jamshidi, Logge, Haber) and Department of Medical Genomics (Luquin, Trent), Royal Prince Alfred Hospital, Camperdown, Australia; Center for Studies of Addiction, Perelman School of Medicine, University of Pennsylvania, and Mental Illness Research, Education, and Clinical Center, Crescenz VA Medical Center, Philadelphia (Kranzler); Northern Sydney Local Health District Drug and Alcohol Services, St Leonards, Australia (Montebello); St Vincent's Hospital Sydney, Sydney, Australia (Tremonti)
| | - Maree Teesson
- Specialty of Addiction Medicine, Sydney Medical School (Morley, Adams, Montebello, Tremonti, Dali, Logge, Haber), School of Health Sciences (Baillie), and Matilda Centre for Mental Health and Substance Use (Teesson), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Edith Collins Centre for Translational Research in Alcohol, Drugs, and Toxicology (Morley, Jamshidi, Logge, Haber) and Department of Medical Genomics (Luquin, Trent), Royal Prince Alfred Hospital, Camperdown, Australia; Center for Studies of Addiction, Perelman School of Medicine, University of Pennsylvania, and Mental Illness Research, Education, and Clinical Center, Crescenz VA Medical Center, Philadelphia (Kranzler); Northern Sydney Local Health District Drug and Alcohol Services, St Leonards, Australia (Montebello); St Vincent's Hospital Sydney, Sydney, Australia (Tremonti)
| | - Ronald Trent
- Specialty of Addiction Medicine, Sydney Medical School (Morley, Adams, Montebello, Tremonti, Dali, Logge, Haber), School of Health Sciences (Baillie), and Matilda Centre for Mental Health and Substance Use (Teesson), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Edith Collins Centre for Translational Research in Alcohol, Drugs, and Toxicology (Morley, Jamshidi, Logge, Haber) and Department of Medical Genomics (Luquin, Trent), Royal Prince Alfred Hospital, Camperdown, Australia; Center for Studies of Addiction, Perelman School of Medicine, University of Pennsylvania, and Mental Illness Research, Education, and Clinical Center, Crescenz VA Medical Center, Philadelphia (Kranzler); Northern Sydney Local Health District Drug and Alcohol Services, St Leonards, Australia (Montebello); St Vincent's Hospital Sydney, Sydney, Australia (Tremonti)
| | - Paul S Haber
- Specialty of Addiction Medicine, Sydney Medical School (Morley, Adams, Montebello, Tremonti, Dali, Logge, Haber), School of Health Sciences (Baillie), and Matilda Centre for Mental Health and Substance Use (Teesson), Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Edith Collins Centre for Translational Research in Alcohol, Drugs, and Toxicology (Morley, Jamshidi, Logge, Haber) and Department of Medical Genomics (Luquin, Trent), Royal Prince Alfred Hospital, Camperdown, Australia; Center for Studies of Addiction, Perelman School of Medicine, University of Pennsylvania, and Mental Illness Research, Education, and Clinical Center, Crescenz VA Medical Center, Philadelphia (Kranzler); Northern Sydney Local Health District Drug and Alcohol Services, St Leonards, Australia (Montebello); St Vincent's Hospital Sydney, Sydney, Australia (Tremonti)
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de Bejczy A, Addolorato G, Aubin HJ, Guiraud J, Korpi ER, John Nutt D, Witkiewitz K, Söderpalm B. AUD in perspective. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2024; 175:1-19. [PMID: 38555113 DOI: 10.1016/bs.irn.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
Alcohol is a major cause of pre-mature death and individual suffering worldwide, and the importance of diagnosing and treating AUD cannot be overstated. Given the global burden and the high attributable factor of alcohol in a vast number of diseases, the need for additional interventions and the development of new medicines is considered a priority by the World Health Organization (WHO). As of today, AUD is severely under-treated with a treatment gap nearing 90%, strikingly higher than that for other psychiatric disorders. Patients often seek treatment late in the progress of the disease and even among those who seek treatment only a minority receive medication, mirroring the still-prevailing stigma of the disease, and a lack of access to effective treatments, as well as a reluctance to total abstinence. To increase adherence, treatment goals should focus not only on maintaining abstinence, but also on harm reduction and psychosocial functioning. A personalised approach to AUD treatment, with a holistic view, and tailored therapy has the potential to improve AUD treatment outcomes by targeting the heterogeneity in genetics and pathophysiology, as well as reason for, and reaction to drinking. Also, the psychiatric co-morbidity rates are high in AUD and dual diagnosis can worsen symptoms and influence treatment response and should be considered in the treatment strategies.
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Affiliation(s)
- Andrea de Bejczy
- Addiction Biology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden.
| | - Giovanni Addolorato
- Department of Medical and Surgical Sciences, Università Cattolica di Roma, Rome, Italy; Internal Medicine and Alcohol Related Disease Unit, Columbus-Gemelli Hospital, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Henri-Jean Aubin
- Université Paris-Saclay, Inserm, CESP, Villejuif, France; AP-HP, Université Paris Saclay, Villejuif, France
| | - Julien Guiraud
- Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands; Vergio, Clichy, France
| | - Esa R Korpi
- Department of Pharmacology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - David John Nutt
- Imperial College London and GABA Labs, London, United Kingdom
| | - Katie Witkiewitz
- Department of Psychology and Center on Alcohol, Substance Use, and Addictions, University of New Mexico, Albuquerque, New Mexico, United States
| | - Bo Söderpalm
- Addiction Biology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden
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Söderpalm B, Ericson M. Alcohol and the dopamine system. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2024; 175:21-73. [PMID: 38555117 DOI: 10.1016/bs.irn.2024.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
The mesolimbic dopamine pathway plays a major role in drug reinforcement and is likely involved also in the development of drug addiction. Ethanol, like most addictive drugs, acutely activates the mesolimbic dopamine system and releases dopamine, and ethanol-associated stimuli also appear to trigger dopamine release. In addition, chronic exposure to ethanol reduces the baseline function of the mesolimbic dopamine system. The molecular mechanisms underlying ethanol´s interaction with this system remain, however, to be unveiled. Here research on the actions of ethanol in the mesolimbic dopamine system, focusing on the involvement of cystein-loop ligand-gated ion channels, opiate receptors, gastric peptides and acetaldehyde is briefly reviewed. In summary, a great complexity as regards ethanol´s mechanism(s) of action along the mesolimbic dopamine system has been revealed. Consequently, several new targets and possibilities for pharmacotherapies for alcohol use disorder have emerged.
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Affiliation(s)
- Bo Söderpalm
- Addiction Biology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden.
| | - Mia Ericson
- Addiction Biology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Wallach JD, Glick L, Gueorguieva R, O’Malley SS. Evidence of subgroup differences in meta-analyses evaluating medications for alcohol use disorder: An umbrella review. ALCOHOL, CLINICAL & EXPERIMENTAL RESEARCH 2024; 48:5-15. [PMID: 38102794 PMCID: PMC10841726 DOI: 10.1111/acer.15229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 10/13/2023] [Accepted: 11/13/2023] [Indexed: 12/17/2023]
Abstract
Randomized controlled trials (RCTs) evaluating medications for alcohol use disorder (AUD) often examine heterogeneity of treatment effects through subgroup analyses that contrast effect estimates in groups of patients across individual demographic, clinical, and study design-related characteristics. However, these analyses are often not prespecified or adequately powered, highlighting the potential role of subgroup analyses in meta-analysis. Here, we conducted an umbrella review (i.e., a systematic review of meta-analyses) to determine the range and characteristics of reported subgroup analyses in meta-analyses of AUD medications. We searched PubMed to identify meta-analyses of RCTs evaluating medications for the management of AUD, alcohol abuse, or alcohol dependence in adults. We sought studies that measured drinking-related outcomes; quality of life, function, and rates of mortality; adverse events; and dropout. We considered meta-analyses that reported the results from formal subgroup analyses (comparing the summary effects across subgroup levels); summary effect estimates stratified across subgroup levels; and meta-regression, regression, or correlation-based subgroup analyses. We analyzed nine meta-analyses that included 61 formal subgroup analyses (median = 6 per meta-analysis), of which 33 (54%) were based on baseline participant-level and 28 (46%) were based on trial-level characteristics. Of the 58 subgroup analyses with either a p-value from a subgroup test or a statement by the authors that the subgroup analyses were not statistically significant, eight (14%) were statistically significant at the p < 0.05 level. Twelve meta-analyses reported the results of 102 meta-regression analyses, of which 25 (25%) identified statistically significant predictors of the relevant outcome of interest; nine (9%) were based on baseline participant-level and 93 (91%) were based on trial characteristics. Subgroup analyses across meta-analyses of AUD medications often focus on study-level characteristics, which may not be as clinically informative as subgroup analyses based on participant-level characteristics. Opportunities exist for future meta-analyses to standardize their subgroup methodology, focus on more clinically informative participant-level characteristics, and use predictive approaches to account for multiple relevant variables.
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Affiliation(s)
- Joshua D. Wallach
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Laura Glick
- Department of Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Kranzler HR, Hartwell EE. Medications for treating alcohol use disorder: A narrative review. ALCOHOL, CLINICAL & EXPERIMENTAL RESEARCH 2023; 47:1224-1237. [PMID: 37526592 DOI: 10.1111/acer.15118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 05/01/2023] [Accepted: 05/12/2023] [Indexed: 08/02/2023]
Abstract
Chronic heavy alcohol use impacts all major neurotransmitter systems and is associated with multiple medical, psychiatric, and social problems. Available evidence-based medications to treat alcohol use disorder (AUD) are underutilized in clinical practice. These medications promote abstinence or reduce alcohol consumption, though there are questions regarding their optimal dosage, length of treatment, and utility in combination with one another. Pharmacogenetic approaches, which use a patient's genetic make-up to inform medication selection, have garnered great interest but have yet to yield results robust enough to incorporate them in routine clinical care. This narrative review summarizes the evidence both for medications approved by the Food and Drug Administration (disulfiram, oral naltrexone, acamprosate, and extended-release naltrexone) and those commonly used off-label (e.g., gabapentin, baclofen, and topiramate) for AUD treatment. We discuss these drugs' mechanisms of action, clinical use, pharmacogenetic findings, and treatment recommendations. We conclude that the most consistent evidence supporting the pharmacotherapy of AUD is for the opioid antagonists, naltrexone and nalmefene (which is not approved in the United States), and topiramate. These medications demonstrate consistent small or moderate effects in reducing the frequency of drinking and/or heavy drinking. Lastly, we make suggestions for research needed to refine and expand the current literature on effective pharmacotherapy for AUD.
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Affiliation(s)
- Henry R Kranzler
- Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Veterans Integrated Service Network 4, Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, Pennsylvania, USA
| | - Emily E Hartwell
- Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Veterans Integrated Service Network 4, Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, Pennsylvania, USA
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Alshehri FS. A Review of the Characteristics of Clinical Trials and Potential Medications for Alcohol Dependence: Data Analysis from ClinicalTrials.gov. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1101. [PMID: 37374305 DOI: 10.3390/medicina59061101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/20/2023] [Accepted: 06/05/2023] [Indexed: 06/29/2023]
Abstract
Objective. This study provides a comprehensive analysis of the characteristics of clinical trials related to alcohol dependence that are registered on ClinicalTrials.gov. Methods. All ClinicalTrials.gov trials registered up to 1 January 2023 were examined, focusing on trials that involved alcohol dependence. All 1295 trials were summarized by presenting their characteristics and results and reviewed most intervention drugs used in the treatment of alcohol dependence. Results. The study analysis identified a total of 1295 clinical trials registered on ClinicalTrials.gov that were focused on alcohol dependence. Of these, 766 trials had been completed, representing 59.15% of the total, while 230 trials were currently recruiting participants, accounting for 17.76% of the total. None of the trials had yet been approved for marketing. The majority of the studies included in this analysis were interventional studies (1145 trials, or 88.41%), which accounted for most of the patients enrolled in the trials. In contrast, observational studies represented only a small portion of the trials (150 studies, or 11.58%) and involved a smaller number of patients. In terms of geographic distribution, the majority of registered studies were located in North America (876 studies, or 67.64%), while only a small number of studies were registered in South America (7 studies, or 0.54%). Conclusions. The purpose of this review is to provide a basis for the treatment of alcohol dependence and prevention of its onset through an overview of clinical trials registered at ClinicalTrials.gov. It also offers essential information for future research to guide future studies.
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Affiliation(s)
- Fahad S Alshehri
- Department of Pharmacology and Toxicology, College of Pharmacy, Umm Al-Qura University, Makkah 24382, Saudi Arabia
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9
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Bogdan R, Hatoum AS, Johnson EC, Agrawal A. The Genetically Informed Neurobiology of Addiction (GINA) model. Nat Rev Neurosci 2023; 24:40-57. [PMID: 36446900 PMCID: PMC10041646 DOI: 10.1038/s41583-022-00656-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/19/2022] [Indexed: 11/30/2022]
Abstract
Addictions are heritable and unfold dynamically across the lifespan. One prominent neurobiological theory proposes that substance-induced changes in neural circuitry promote the progression of addiction. Genome-wide association studies have begun to characterize the polygenic architecture undergirding addiction liability and revealed that genetic loci associated with risk can be divided into those associated with a general broad-spectrum liability to addiction and those associated with drug-specific addiction risk. In this Perspective, we integrate these genomic findings with our current understanding of the neurobiology of addiction to propose a new Genetically Informed Neurobiology of Addiction (GINA) model.
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Affiliation(s)
- Ryan Bogdan
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.
| | - Alexander S Hatoum
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
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10
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Xie X, Gu J, Zhuang D, Zhou Y, Chen X, Shen W, Li L, Liu Y, Xu W, Hong Q, Xu Z, Chen W, Zhou W, Liu H. Association between rs1799971 in the mu opioid receptor gene and methadone maintenance treatment response. J Clin Lab Anal 2022; 36:e24750. [PMID: 36305091 PMCID: PMC9701885 DOI: 10.1002/jcla.24750] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/28/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVE Genetic variations can affect individual response to methadone maintenance treatment (MMT) for heroin addiction. The A118G variant (rs1799971) in the mu opioid receptor gene (OPRM1) is a potential candidate single nucleotide polymorphism (SNP) for personalized MMT. This study determined whether rs1799971 is related to MMT response or dose. METHODS We recruited 286 MMT patients from a Han Chinese population. The rs1799971 genotype was determined via TaqMan genotyping assay. The genetic effect of this SNP on MMT response or dose was evaluated using logistic regression. A meta-analysis was performed to merge all available data to evaluate the role of rs1799971 in MMT using RevMan 5.3 software. RESULTS No statistical significance was observed in the association between the OPRM1 rs1799971 and MMT response or dose in our Chinese cohort. Meta-analysis indicated that the OPRM1 A118G variation was not significantly associated with MMT response or dose requirement. CONCLUSION The results suggest that rs1799971 in OPRM1 might not play a critical role alone in influencing MMT response or dose.
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Affiliation(s)
- Xiaohu Xie
- Key Laboratory of Addiction Research of Zhejiang Province Ningbo Kangning Hospital Ningbo China
| | - Jun Gu
- Key Laboratory of Addiction Research of Zhejiang Province Ningbo Kangning Hospital Ningbo China
| | - Dingding Zhuang
- Key Laboratory of Addiction Research of Zhejiang Province Ningbo Kangning Hospital Ningbo China
| | - Yun Zhou
- School of Medicine Ningbo University Ningbo China
| | - Xiaoyu Chen
- School of Medicine Ningbo University Ningbo China
| | - Wenwen Shen
- Key Laboratory of Addiction Research of Zhejiang Province Ningbo Kangning Hospital Ningbo China
| | - Longhui Li
- Key Laboratory of Addiction Research of Zhejiang Province Ningbo Kangning Hospital Ningbo China
| | - Yue Liu
- Key Laboratory of Addiction Research of Zhejiang Province Ningbo Kangning Hospital Ningbo China
| | - Wenjin Xu
- Key Laboratory of Addiction Research of Zhejiang Province Ningbo Kangning Hospital Ningbo China
| | - Qingxiao Hong
- Key Laboratory of Addiction Research of Zhejiang Province Ningbo Kangning Hospital Ningbo China
| | - Zemin Xu
- Key Laboratory of Addiction Research of Zhejiang Province Ningbo Kangning Hospital Ningbo China
| | - Weisheng Chen
- Key Laboratory of Addiction Research of Zhejiang Province Ningbo Kangning Hospital Ningbo China
| | - Wenhua Zhou
- Key Laboratory of Addiction Research of Zhejiang Province Ningbo Kangning Hospital Ningbo China
- School of Medicine Ningbo University Ningbo China
| | - Huifen Liu
- Key Laboratory of Addiction Research of Zhejiang Province Ningbo Kangning Hospital Ningbo China
- School of Medicine Ningbo University Ningbo China
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11
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Jones JD, Mumtaz M, Vadhan NP, Martinez S, Pramanik S, Manubay J, Mogali S, Perez F, Castillo F, Kranzler HR, Comer SD. The effects of acute oral naltrexone pretreatment on the abuse potential of intranasal methamphetamine, and the relationship between reward/punishment sensitivity and methamphetamine's effects. Behav Pharmacol 2022; 33:255-265. [PMID: 35438671 PMCID: PMC9149033 DOI: 10.1097/fbp.0000000000000671] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
One potential medication for treating methamphetamine use disorder is the opioid antagonist naltrexone (NLTX). Despite encouraging preclinical findings, the results of clinical studies have been mixed. The primary aim of the current trial was to examine the effects of acute NLTX pretreatment on the subjective and reinforcing effects of intranasal methamphetamine. Nonmedical psychostimulant users completed outpatient testing sessions in which they received oral placebo (0 mg) or NLTX (50 mg) before intranasal methamphetamine (30 mg/70 kg). Primary outcome measures were peak positive subjective effects (e.g. drug 'Liking') assessed on a visual analog scale (0-100), and methamphetamine self-administration using an operant self-administration task. Participants also completed a probabilistic categorization task to assess reward and punishment learning sensitivity. Complete data were available from 13 male and 1 transgender (male-to-female) participant (age: 33.4 ± 7.6 years). Intranasal methamphetamine significantly increased subjective ratings of drug 'Liking', 'Good Effect' and 'High' from baseline (P's < 0.01), but did not significantly vary as a function of placebo or NLTX pretreatment. Similarly, methamphetamine self-administration did not vary between the placebo and NLTX pretreatment conditions. This sample did not demonstrate a significant 'bias' in learning from positive and negative outcomes (i.e. reward and punishment sensitivity), and reward/punishment sensitivity was not correlated with the effects of methamphetamine or the effects of NLTX on methamphetamine. The current study argues against the use of NLTX as a stand-alone medication for treating methamphetamine use disorder.
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Affiliation(s)
- Jermaine D. Jones
- Division on Substance Use Disorders, Department of Psychiatry, New York State Psychiatric Institute, and Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032
| | - Mudassir Mumtaz
- The City University of New York School of Medicine, 160 Convent Ave, New York, NY 10031
| | - Nehal P. Vadhan
- Departments of Psychiatry & Molecular Medicine, Zucker School of Medicine at Hofstra/ Northwell Feinstein Institute for Medical Research, 350 Community Drive, Manhasset, NY 11030
| | - Suky Martinez
- Division on Substance Use Disorders, Department of Psychiatry, New York State Psychiatric Institute, and Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032
| | - Satadru Pramanik
- Mailman School of Public Health, Columbia University, 722 W 168th St, New York, NY 10032
| | - Jeanne Manubay
- Division on Substance Use Disorders, Department of Psychiatry, New York State Psychiatric Institute, and Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032
| | - Shanthi Mogali
- Division on Substance Use Disorders, Department of Psychiatry, New York State Psychiatric Institute, and Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032
| | - Freymon Perez
- Division on Substance Use Disorders, Department of Psychiatry, New York State Psychiatric Institute, and Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032
| | - Felipe Castillo
- Division on Substance Use Disorders, Department of Psychiatry, New York State Psychiatric Institute, and Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032
| | - Henry R. Kranzler
- Center for Studies of Addiction, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Philadelphia, PA 19104
| | - Sandra D. Comer
- Division on Substance Use Disorders, Department of Psychiatry, New York State Psychiatric Institute, and Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032
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12
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Cahill S, Chandola T, Hager R. Genetic Variants Associated With Resilience in Human and Animal Studies. Front Psychiatry 2022; 13:840120. [PMID: 35669264 PMCID: PMC9163442 DOI: 10.3389/fpsyt.2022.840120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 04/19/2022] [Indexed: 11/15/2022] Open
Abstract
Resilience is broadly defined as the ability to maintain or regain functioning in the face of adversity and is influenced by both environmental and genetic factors. The identification of specific genetic factors and their biological pathways underpinning resilient functioning can help in the identification of common key factors, but heterogeneities in the operationalisation of resilience have hampered advances. We conducted a systematic review of genetic variants associated with resilience to enable the identification of general resilience mechanisms. We adopted broad inclusion criteria for the definition of resilience to capture both human and animal model studies, which use a wide range of resilience definitions and measure very different outcomes. Analyzing 158 studies, we found 71 candidate genes associated with resilience. OPRM1 (Opioid receptor mu 1), NPY (neuropeptide Y), CACNA1C (calcium voltage-gated channel subunit alpha1 C), DCC (deleted in colorectal carcinoma), and FKBP5 (FKBP prolyl isomerase 5) had both animal and human variants associated with resilience, supporting the idea of shared biological pathways. Further, for OPRM1, OXTR (oxytocin receptor), CRHR1 (corticotropin-releasing hormone receptor 1), COMT (catechol-O-methyltransferase), BDNF (brain-derived neurotrophic factor), APOE (apolipoprotein E), and SLC6A4 (solute carrier family 6 member 4), the same allele was associated with resilience across divergent resilience definitions, which suggests these genes may therefore provide a starting point for further research examining commonality in resilience pathways.
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Affiliation(s)
- Stephanie Cahill
- Evolution, Infection and Genomics, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
- Faculty of Humanities, Cathie Marsh Institute for Social Research, The University of Manchester, Manchester, United Kingdom
| | - Tarani Chandola
- Faculty of Humanities, Cathie Marsh Institute for Social Research, The University of Manchester, Manchester, United Kingdom
- Methods Hub, Department of Sociology, Faculty of Social Sciences, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Reinmar Hager
- Evolution, Infection and Genomics, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
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13
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Kranzler HR, Feinn R, Pond T, Hartwell E, Gelernter J, Crist RC, Witkiewitz K. Post-treatment effects of topiramate on alcohol-related outcomes: A combined analysis of two placebo-controlled trials. Addict Biol 2022; 27:e13130. [PMID: 35229945 PMCID: PMC9257958 DOI: 10.1111/adb.13130] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 10/11/2021] [Accepted: 12/05/2021] [Indexed: 01/04/2023]
Abstract
Topiramate reduces drinking and alcohol-related problems and is increasingly being used to treat alcohol use disorder (AUD). In a randomized controlled trial (RCT) of topiramate, rs2832407, a single nucleotide polymorphism (SNP) in the GRIK1 gene moderated topiramate's effects (Study 1). However, a second RCT (Study 2) did not replicate the SNP's moderating effect during treatment. The current analysis combines data from these two studies to examine topiramate's effects on alcohol-related outcomes and on its pharmacogenetic moderation during a 6-month post-treatment period. This analysis includes 308 individuals with problematic alcohol use (67% male; mean age = 51.1; topiramate: 49%, placebo: 51%). It uses generalized linear mixed models to examine changes in self-reported alcohol consumption and alcohol-related problems and concentrations of the liver enzyme γ-glutamyltransferase. The report combines published 3- and 6-month follow-up data from Study 1 with similar, unpublished data from Study 2. Despite robust effects of topiramate on drinking during treatment, the overall multivariate medication effects on outcomes during 3- and 6-month follow-up were not significant (p = 0.08 and p = 0.26, respectively). The moderating effect of the SNP on primary treatment outcomes was also not significant during either follow-up period (p = 0.13 and p = 0.16, respectively). However, during the 3-month post-treatment period, drinks per day was significantly lower in the topiramate group than the placebo group in the rs2832407*CC-genotype group. The robust effects of topiramate on alcohol-related outcomes during treatment diminish substantially once the medication is discontinued. Research is needed both to determine the optimal treatment duration and to identify clinically useful pharmacogenetic moderators of topiramate for treating AUD.
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Affiliation(s)
- Henry R. Kranzler
- Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania
- VISN4 MIRECC, Philadelphia VAMC, Philadelphia, PA 19104
| | - Richard Feinn
- Frank Netter School of Medicine, Quinnipiac University, Hamden, CT 06518
| | - Timothy Pond
- Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania
| | - Emily Hartwell
- Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania
- VISN4 MIRECC, Philadelphia VAMC, Philadelphia, PA 19104
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine and VA CT Healthcare Center, West Haven, CT 06516
| | - Richard C. Crist
- Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania
| | - Katie Witkiewitz
- Department of Psychology (KW), Center on Alcohol, Substance Use, and Addictions, University of New Mexico, Albuquerque, New Mexico 87131
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Epigenetic moderators of naltrexone efficacy in reducing heavy drinking in Alcohol Use Disorder: a randomized trial. THE PHARMACOGENOMICS JOURNAL 2022; 22:1-8. [PMID: 34381173 PMCID: PMC8799481 DOI: 10.1038/s41397-021-00250-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 07/27/2021] [Accepted: 08/03/2021] [Indexed: 02/07/2023]
Abstract
Polymorphisms in genes associated with opioid signaling and dopamine reuptake and inactivation may moderate naltrexone efficacy in Alcohol Use Disorder (AUD), but the effects of epigenetic modification of these genes on naltrexone response are largely unexplored. This study tested interactions between methylation in the μ-opioid receptor (OPRM1), dopamine transporter (SLC6A3), and catechol-O-methyltransferase (COMT) genes as predictors of naltrexone effects on heavy drinking in a 16-week randomized, placebo-controlled trial among 145 treatment-seeking AUD patients. OPRM1 methylation interacted with both SLC6A3 and COMT methylation to moderate naltrexone efficacy, such that naltrexone-treated individuals with lower methylation of the OPRM1 promoter and the SLC6A3 promoter (p = 0.006), COMT promoter (p = 0.005), or SLC6A3 3' untranslated region (p = 0.004), relative to placebo and to those with higher OPRM1 and SLC6A3 or COMT methylation, had significantly fewer heavy drinking days. Epigenetic modification of opioid- and dopamine-related genes may represent a novel pharmacoepigenetic predictor of naltrexone efficacy in AUD.
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15
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Exploring the Role of Alcohol Metabolizing Genotypes in a 12-Week Clinical Trial of Naltrexone for Alcohol Use Disorder. Biomolecules 2021; 11:biom11101495. [PMID: 34680127 PMCID: PMC8533258 DOI: 10.3390/biom11101495] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 09/26/2021] [Accepted: 10/03/2021] [Indexed: 11/16/2022] Open
Abstract
Background: The efficacy of naltrexone in the treatment of alcohol use disorder (AUD) has been associated with a set of variables not directly related with the expression of opioid receptors. All the variables have been found to be highly associated with AUD itself or more severe clinical levels of AUD. Objectives: Given the high association between alcohol metabolizing enzymes (AME) and the outcome of AUD, the present study aims to investigate the role of AME genotype variants in the treatment of AUD with naltrexone. Methods: We carried out a 12-week longitudinal clinical trial based on the treatment of AUD patients with naltrexone (N = 101), stratified by different alcohol metabolization genotypes. Genotyping was performed after the inclusion of the patients in the study, based on the individual presence of single nucleotide polymorphisms (SNPs) in the ADH (alcohol dehydrogenase)1B (ADH1B*2 and ADH1B*3), ADH1C (ADHC*1) and ALDH (aldehyde dehydrogenase) 2 (ALDH2*2) genes. The outcome of alcohol use has been monitored employing the timeline follow-back during the treatment. Results: The ADH1C*1 (Ile350Val, rs698) and ALDH2*2 (Glu504Lys, rs671) polymorphisms were associated with a better response to naltrexone treatment, whereas the ADH1B*3 (Arg370Cys, rs2066702) allelic variant showed a negative outcome. Conclusions: The present study explores a genomic setting for the treatment of AUD with naltrexone. According to our findings, the association between ADH1C*1 and ALDH2*2 variants and better outcomes suggests a successful treatment, whereas the ADH1B*3 mutated allele might lead to an unsuccessful treatment. Further studies should be performed to investigate the relationship between alcohol metabolizing genotypes, the family history of alcohol use disorders and the effect of naltrexone on the outcomes. Genotyping may be a valuable tool for precision-medicine and individualized approach, especially in the context of alcohol use disorders. The small number of subjects was the main limitation of the present study.
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Stancil SL, Abdel-Rahman S, Wagner J. Developmental Considerations for the Use of Naltrexone in Children and Adolescents. J Pediatr Pharmacol Ther 2021; 26:675-695. [PMID: 34588931 DOI: 10.5863/1551-6776-26.7.675] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 01/27/2021] [Indexed: 11/11/2022]
Abstract
Naltrexone (NTX) is a well-tolerated drug with a wide safety margin and mechanism of action that affords use across a wide variety of indications in adults and children. By antagonizing the opioid reward system, NTX can modulate behaviors that involve compulsivity or impulsivity, such as substance use, obesity, and eating disorders. Evidence regarding the disposition and efficacy of NTX is mainly derived from adult studies of substance use disorders and considerable variability exists. Developmental changes, plausible disease-specific alterations and genetic polymorphisms in NTX disposition, and pharmacodynamic pathways should be taken into consideration when optimizing the use of NTX in the pediatric population. This review highlights the current state of the evidence and gaps in knowledge regarding NTX to facilitate evidence-based pharmacotherapy of mental health conditions, for which few pharmacologic options exist.
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17
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Levran O, Kreek MJ. Population-specific genetic background for the OPRM1 variant rs1799971 (118A>G): implications for genomic medicine and functional analysis. Mol Psychiatry 2021; 26:3169-3177. [PMID: 33037305 DOI: 10.1038/s41380-020-00902-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 09/11/2020] [Accepted: 09/29/2020] [Indexed: 11/09/2022]
Abstract
The mu-opioid receptor (MOR, OPRM1) has important roles in diverse functions including reward, addiction, and response to pain treatment. SNP rs1799971 (118A > G, N40D) which occur at a high frequency (40-60%) in Asia and moderate frequency (15%) in samples of European ancestry, is the only common coding variant in the canonical transcript, in non-African populations. Despite extensive studies, the molecular consequences of this variation remained unresolved. The aim of this study was to determine the genetic background of the OPRM1 region of 118G in four representative populations and to assess its potential modulatory effect. Seven common haplotypes with distinct population distribution were identified based on seven SNPs. Three haplotypes carry the 118G and additional highly linked regulatory SNPs (e.g., rs9383689) that could modulate the effect of 118G. Extended analysis in the 1000 Genomes database (n = 2504) revealed a common East Asian-specific haplotype with a different genetic background in which there are no variant alleles for an upstream LD block tagged by the eQTL rs9397171. The major European haplotype specifically includes the eQTL intronic SNP rs62436463 that must have arisen after the split between European and Asian populations. Differentiating between the effect of 118G and these SNPs requires specific experimental approaches. The analysis also revealed a significant increase in two 118A haplotypes with eQTL SNPs associated with drug addiction (rs510769) and obesity (rs9478496) in populations with native Mexican ancestry. Future studies are required to assess the clinical implication of these findings.
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Affiliation(s)
- Orna Levran
- Laboratory on the Biology of Addictive Diseases, The Rockefeller University, New York, NY, USA.
| | - Mary Jeanne Kreek
- Laboratory on the Biology of Addictive Diseases, The Rockefeller University, New York, NY, USA
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18
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Sebold M, Garbusow M, Cerci D, Chen K, Sommer C, Huys QJM, Nebe S, Rapp M, Veer IM, Zimmermann US, Smolka MN, Walter H, Heinz A, Friedel E. Association of the OPRM1 A118G polymorphism and Pavlovian-to-instrumental transfer: Clinical relevance for alcohol dependence. J Psychopharmacol 2021; 35:566-578. [PMID: 33726538 PMCID: PMC8155738 DOI: 10.1177/0269881121991992] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Pavlovian-to-instrumental transfer (PIT) quantifies the extent to which a stimulus that has been associated with reward or punishment alters operant behaviour. In alcohol dependence (AD), the PIT effect serves as a paradigmatic model of cue-induced relapse. Preclinical studies have suggested a critical role of the opioid system in modulating Pavlovian-instrumental interactions. The A118G polymorphism of the OPRM1 gene affects opioid receptor availability and function. Furthermore, this polymorphism interacts with cue-induced approach behaviour and is a potential biomarker for pharmacological treatment response in AD. In this study, we tested whether the OPRM1 polymorphism is associated with the PIT effect and relapse in AD. METHODS Using a PIT task, we examined three independent samples: young healthy subjects (N = 161), detoxified alcohol-dependent patients (N = 186) and age-matched healthy controls (N = 105). We used data from a larger study designed to assess the role of learning mechanisms in the development and maintenance of AD. Subjects were genotyped for the A118G (rs1799971) polymorphism of the OPRM1 gene. Relapse was assessed after three months. RESULTS In all three samples, participants with the minor OPRM1 G-Allele (G+ carriers) showed increased expression of the PIT effect in the absence of learning differences. Relapse was not associated with the OPRM1 polymorphism. Instead, G+ carriers displaying increased PIT effects were particularly prone to relapse. CONCLUSION These results support a role for the opioid system in incentive salience motivation. Furthermore, they inform a mechanistic model of aberrant salience processing and are in line with the pharmacological potential of opioid receptor targets in the treatment of AD.
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Affiliation(s)
- Miriam Sebold
- Department of Psychiatry and
Psychotherapy, Charité – Universitätsmedizin Berlin, corporate member of Freie
Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health,
Berlin, Germany
- Department for Social and Preventive
Medicine, University of Potsdam, Potsdam, Germany
| | - Maria Garbusow
- Department of Psychiatry and
Psychotherapy, Charité – Universitätsmedizin Berlin, corporate member of Freie
Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health,
Berlin, Germany
| | - Deniz Cerci
- Klinik für Forensische Psychiatrie,
Universitätsmedizin Rostock, Rostock, Germany
| | - Ke Chen
- Department of Psychiatry and
Psychotherapy, Charité – Universitätsmedizin Berlin, corporate member of Freie
Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health,
Berlin, Germany
| | | | - Quentin JM Huys
- Division of Psychiatry, University
College London, London, UK
- Max Planck UCL Centre for Computational
Psychiatry and Ageing Research, University College London, London, UK
| | - Stephan Nebe
- Department of Economics, University of
Zurich, Zurich, Switzerland
| | - Michael Rapp
- Department for Social and Preventive
Medicine, University of Potsdam, Potsdam, Germany
| | - Ilya M Veer
- Department of Psychiatry and
Psychotherapy, Charité – Universitätsmedizin Berlin, corporate member of Freie
Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health,
Berlin, Germany
| | - Ulrich S Zimmermann
- Technical University of Dresden,
Dresden, Germany
- Department of Addiction Medicine and
Psychotherapy, kbo Isar-Amper-Klinikum, Munich, Germany
| | | | - Henrik Walter
- Department of Psychiatry and
Psychotherapy, Charité – Universitätsmedizin Berlin, corporate member of Freie
Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health,
Berlin, Germany
| | - Andreas Heinz
- Department of Psychiatry and
Psychotherapy, Charité – Universitätsmedizin Berlin, corporate member of Freie
Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health,
Berlin, Germany
| | - Eva Friedel
- Department of Psychiatry and
Psychotherapy, Charité – Universitätsmedizin Berlin, corporate member of Freie
Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health,
Berlin, Germany
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19
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Abstract
Bislang sind nur wenige Medikamente zur pharmakologischen Rückfallprophylaxe der Alkoholabhängigkeit zugelassen. Neben dem in Deutschland nicht mehr vertriebenen Disulfiram sind es die Opioidantagonisten Naltrexon und Nalmefen sowie das vermutlich über glutamaterge Neurone wirkende Acamprosat. Baclofen und γ‑Hydroxybutyrat (GHB) sind in einzelnen Ländern zugelassen. Wirkstoffe wie z. B. Vareniclin, Gabapentin und Topiramat können für die Rückfallprophylaxe der Alkoholabhängigkeit von Interesse sein, jedoch ist bislang keine Zulassung erfolgt. Vor dem Hintergrund der zur Revision anstehenden S3-Leitlinie zur Diagnose und Behandlung alkoholbezogener Störungen wird der heutige Kenntnisstand zur Pharmakotherapie der Alkoholabhängigkeit dargestellt.
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20
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Anton RF, Voronin KE, Book SW, Latham PK, Randall PK, Glen WB, Hoffman M, Schacht JP. Opioid and Dopamine Genes Interact to Predict Naltrexone Response in a Randomized Alcohol Use Disorder Clinical Trial. Alcohol Clin Exp Res 2020; 44:2084-2096. [PMID: 32772383 DOI: 10.1111/acer.14431] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 07/27/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND While the opiate antagonist, naltrexone, is approved for treating alcohol use disorder (AUD), not everyone who receives the medication benefits from it. This study evaluated whether the OPRM1 SNP rs1799971 interacts with the dopamine transporter gene DAT1/SLC6A3 VNTR rs28363170 or the catechol-O-methyltransferase (COMT) gene SNP rs4680 in predicting naltrexone response. METHODS Individuals who met DSM-IV alcohol dependence were randomly assigned to naltrexone (50 mg/d) or placebo based on their OPRM1 genotype (75 G-allele carriers and 77 A-allele homozygotes) and also genotyped for DAT1 VNTR (9 vs. 10 repeats) or COMT SNP (val/val vs. met carriers). Heavy drinking days (%HDD) were evaluated over 16 weeks and at the end of treatment. Effect sizes (d) for naltrexone response were calculated based on genotypes. RESULTS Naltrexone, relative to placebo, significantly reduced %HDD among OPRM1 G carriers who also had DAT1 10/10 (p = 0.021, d = 0.72) or COMT val/val genotypes (p = 0.05, d = 0.80), and to a lesser degree in those OPRM1 A homozygotes who were also DAT1 9-repeat carriers (p = 0.09, d = 0.70) or COMT met carriers (p = 0.03, d = 0.63). All other genotype combinations showed no differential response to naltrexone. Diarrhea/abdominal pain was more prominent in OPRM1 A homozygotes who were also DAT 9 or COMT met carriers. CONCLUSIONS These results suggest that individuals with AUD with a more opioid-responsive genotype (OPRM1 G carriers) respond better to naltrexone if they have genotypes indicating normal/less dopamine tone (DAT1 10,10 or COMT val,val), while those with a less responsive opioid-responsive genotype (OPRM1 A homozygotes) respond better to naltrexone if they have genotypes indicating greater dopamine tone (DAT1 9-repeat or COMT met carriers). These results could lead to more personalized AUD treatments.
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Affiliation(s)
- Raymond F Anton
- From the, Department of Psychiatry and Behavioral Sciences, Addiction Sciences Division, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Konstantin E Voronin
- From the, Department of Psychiatry and Behavioral Sciences, Addiction Sciences Division, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Sarah W Book
- From the, Department of Psychiatry and Behavioral Sciences, Addiction Sciences Division, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Patricia K Latham
- From the, Department of Psychiatry and Behavioral Sciences, Addiction Sciences Division, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Patrick K Randall
- From the, Department of Psychiatry and Behavioral Sciences, Addiction Sciences Division, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Willam Bailey Glen
- From the, Department of Psychiatry and Behavioral Sciences, Addiction Sciences Division, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Michaela Hoffman
- From the, Department of Psychiatry and Behavioral Sciences, Addiction Sciences Division, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Joseph P Schacht
- From the, Department of Psychiatry and Behavioral Sciences, Addiction Sciences Division, Medical University of South Carolina, Charleston, South Carolina, USA
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21
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Laska EM, Siegel CE, Lin Z, Bogenschutz M, Marmar CR. Gabapentin Enacarbil Extended-Release Versus Placebo: A Likely Responder Reanalysis of a Randomized Clinical Trial. Alcohol Clin Exp Res 2020; 44:1875-1884. [PMID: 33460198 PMCID: PMC7540534 DOI: 10.1111/acer.14414] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 07/05/2020] [Accepted: 07/07/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND We reanalyzed a multisite 26-week randomized double-blind placebo-controlled clinical trial of 600 mg twice-a-day Gabapentin Enacarbil Extended-Release (GE-XR), a gabapentin prodrug, designed to evaluate safety and efficacy for treating alcohol use disorder. In the original analysis (n = 338), published in 2019, GE-XR did not differ from placebo. Our aim is to advance precision medicine by identifying likely responders to GE-XR from the trial data and to determine for likely responders if GE-XR is causally superior to placebo. METHODS The primary outcome measure in the reanalysis is the reduction from baseline of the number of heavy drinking days (ΔHDD). Baseline features including measures of alcohol use, anxiety, depression, mood states, sleep, and impulsivity were used in a random forest (RF) model to predict ΔHDD to treatment with GE-XR based on those assigned to GE-XR. The resulting RF model was used to obtain predicted outcomes for those randomized to GE-XR and counterfactually to those randomized to placebo. Likely responders to GE-XR were defined as those predicted to have a reduction of 14 days or more. Tests of causal superiority of GE-XR to placebo were obtained for likely responders and for the whole sample. RESULTS For likely responders, GE-XR was causally superior to placebo (p < 0.0033), while for the whole sample, there was no difference. Likely responders exhibited improved outcomes for the related outcomes of percent HDD and drinks per week. Compared with unlikely responders, at baseline likely responders had higher HDDs; lower levels of anxiety, depression, and general mood disturbances; and higher levels of cognitive and motor impulsivity. CONCLUSIONS There are substantial causal benefits of treatment with GE-XR for a subset of patients predicted to be likely responders. The likely responder statistical paradigm is a promising approach for analyzing randomized clinical trials to advance personalized treatment.
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Affiliation(s)
- Eugene M Laska
- From the Department of Psychiatry, Center for Alcohol Use Disorder and PTSD, New York University Grossman School of Medicine, One Park Avenue, New York, New York, 10016, USA.,Department of Population Health, Biostatistics Division, New York University Grossman School of Medicine, New York, New York, USA
| | - Carole E Siegel
- From the Department of Psychiatry, Center for Alcohol Use Disorder and PTSD, New York University Grossman School of Medicine, One Park Avenue, New York, New York, 10016, USA.,Department of Population Health, Biostatistics Division, New York University Grossman School of Medicine, New York, New York, USA
| | - Ziqiang Lin
- From the Department of Psychiatry, Center for Alcohol Use Disorder and PTSD, New York University Grossman School of Medicine, One Park Avenue, New York, New York, 10016, USA
| | - Michael Bogenschutz
- From the Department of Psychiatry, Center for Alcohol Use Disorder and PTSD, New York University Grossman School of Medicine, One Park Avenue, New York, New York, 10016, USA
| | - Charles R Marmar
- From the Department of Psychiatry, Center for Alcohol Use Disorder and PTSD, New York University Grossman School of Medicine, One Park Avenue, New York, New York, 10016, USA
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22
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Lohoff FW. Pharmacotherapies and personalized medicine for alcohol use disorder: a review. Pharmacogenomics 2020; 21:1117-1138. [PMID: 32807012 DOI: 10.2217/pgs-2020-0079] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Alcohol use disorder (AUD) is highly prevalent and among the leading causes of morbidity and mortality in the United States. Pharmacotherapies for AUD are limited, thus making identification of patient subgroups that are most likely to respond favorably crucial. In this article, pharmacogenetic research on US FDA-approved and commonly prescribed off-label medications for the treatment of AUD is comprehensively reviewed. While the field has advanced in understanding pharmacotherapies for AUD and potential genetic moderators of treatment responses, the pharmacogenetic data to guide the prescribing clinician are limited and should be interpreted with caution. Precision medicine for AUD with more beneficial treatment responses and minimal side effects remains a high priority for further research.
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Affiliation(s)
- Falk W Lohoff
- Section on Clinical Genomics & Experimental Therapeutics, National Institute on Alcohol Abuse & Alcoholism, NIH, Bethesda, MD 20892-1540, USA
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23
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Agrawal A, McCutcheon VV. Commentary on Hartwell et al. (2020): Alcohol use disorder treatment response-where is the variability? Addiction 2020; 115:1438-1439. [PMID: 32343448 DOI: 10.1111/add.15085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 04/06/2020] [Indexed: 11/29/2022]
Affiliation(s)
- Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Vivia V McCutcheon
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
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24
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Williams PT. Quantile-Specific Heritability of Intakes of Alcohol but not Other Macronutrients. Behav Genet 2020; 50:332-345. [PMID: 32661760 DOI: 10.1007/s10519-020-10005-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 06/24/2020] [Indexed: 01/13/2023]
Abstract
Genetic heritability (h2) of alcohol use is reported to be greater in rural dwellers, distressed marriages, low socioeconomic status, in girls who are unmarried or lacking closeness with their parents or religious upbringing, in less-educated men, and in adolescents with peers using alcohol. However, these are all risk factors for heavy drinking, and the greater heritability could be due to quantile-dependent expressivity, i.e., h2 dependent upon whether the phenotype (alcohol intake) is high or low relative to its distribution. Quantile regression showed that h2 estimated from the offspring-parent regression slope increased significantly from lowest to highest gram/day of alcohol consumption (0.006 ± 0.001 per percent, P = 1.1 × 10-7). Heritability at the 90th percentile of the sample distribution (0.557 ± 0.116) was 4.5-fold greater than at the 10th percentile (0.122 ± 0.037). Heritabilities for intakes of other macronutrients were not quantile-dependent. Thus quantile-dependent expressivity may explain the higher estimated heritability associated with risk factors for high alcohol consumption.
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Affiliation(s)
- Paul T Williams
- Molecular Biophysics & Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA.
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