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Willis C, White JD, Minto MS, Quach BC, Han S, Tao R, Shin JH, Deep-Soboslay A, Hyde TM, Mayfield RD, Webb BT, Johnson EO, Kleinman JE, Bierut LJ, Hancock DB. Gene expression differences associated with alcohol use disorder in human brain. Mol Psychiatry 2025; 30:1617-1626. [PMID: 39394458 PMCID: PMC11919698 DOI: 10.1038/s41380-024-02777-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 09/25/2024] [Accepted: 09/30/2024] [Indexed: 10/13/2024]
Abstract
Excessive alcohol consumption is a leading cause of preventable death worldwide. To improve understanding of neurobiological mechanisms associated with alcohol use disorder (AUD) in humans, we compared gene expression data from deceased individuals with and without AUD across two addiction-relevant brain regions: the nucleus accumbens (NAc) and dorsolateral prefrontal cortex (DLPFC). Bulk RNA-seq data from NAc and DLPFC (N ≥50 with AUD, ≥46 non-AUD) were analyzed for differential gene expression using modified negative binomial regression adjusting for technical and biological covariates. The region-level results were meta-analyzed with those from an independent dataset (NNAc = 28 AUD, 29 non-AUD; NPFC = 66 AUD, 77 non-AUD). We further tested for heritability enrichment of AUD-related phenotypes, gene co-expression networks, gene ontology enrichment, and drug repurposing. We identified 176 differentially expressed genes (DEGs; 12 in both regions, 78 in NAc only, 86 in DLPFC only) for AUD in our new dataset. After meta-analyzing with published data, we identified 476 AUD DEGs (25 in both regions, 29 in NAc only, 422 in PFC only). Of these DEGs, 17 were significant when looked up in GWAS of problematic alcohol use or drinks per week. Gene co-expression analysis showed both concordant and unique gene networks across brain regions. We also identified 29 and 436 drug compounds that target DEGs from our meta-analysis in NAc and PFC, respectively. This study identified robust AUD-associated DEGs, contributing novel neurobiological insights into AUD and highlighting genes targeted by known drug compounds, generating opportunity for drug repurposing to treat AUD.
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Affiliation(s)
- Caryn Willis
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, NC, USA.
| | - Julie D White
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, NC, USA
| | - Melyssa S Minto
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, NC, USA
| | - Bryan C Quach
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, NC, USA
| | - Shizhong Han
- Lieber Institute for Brain Development (LIBD), Baltimore, MD, USA
| | - Ran Tao
- Lieber Institute for Brain Development (LIBD), Baltimore, MD, USA
| | - Joo Heon Shin
- Lieber Institute for Brain Development (LIBD), Baltimore, MD, USA
| | | | - Thomas M Hyde
- Lieber Institute for Brain Development (LIBD), Baltimore, MD, USA
| | - R Dayne Mayfield
- Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, USA
| | - Bradley T Webb
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, NC, USA
| | - Eric O Johnson
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, NC, USA
- Fellow Program, RTI International, Research Triangle Park, NC, USA
| | - Joel E Kleinman
- Lieber Institute for Brain Development (LIBD), Baltimore, MD, USA
| | - Laura J Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Dana B Hancock
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, NC, USA
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2
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Zhou H, Gelernter J. Human genetics and epigenetics of alcohol use disorder. J Clin Invest 2024; 134:e172885. [PMID: 39145449 PMCID: PMC11324314 DOI: 10.1172/jci172885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/16/2024] Open
Abstract
Alcohol use disorder (AUD) is a prominent contributor to global morbidity and mortality. Its complex etiology involves genetics, epigenetics, and environmental factors. We review progress in understanding the genetics and epigenetics of AUD, summarizing the key findings. Advancements in technology over the decades have elevated research from early candidate gene studies to present-day genome-wide scans, unveiling numerous genetic and epigenetic risk factors for AUD. The latest GWAS on more than one million participants identified more than 100 genetic variants, and the largest epigenome-wide association studies (EWAS) in blood and brain samples have revealed tissue-specific epigenetic changes. Downstream analyses revealed enriched pathways, genetic correlations with other traits, transcriptome-wide association in brain tissues, and drug-gene interactions for AUD. We also discuss limitations and future directions, including increasing the power of GWAS and EWAS studies as well as expanding the diversity of populations included in these analyses. Larger samples, novel technologies, and analytic approaches are essential; these include whole-genome sequencing, multiomics, single-cell sequencing, spatial transcriptomics, deep-learning prediction of variant function, and integrated methods for disease risk prediction.
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Affiliation(s)
- Hang Zhou
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA
- Department of Biomedical Informatics and Data Science
- Center for Brain and Mind Health
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA
- Department of Genetics, and
- Department of Neuroscience, Yale School of Medicine, New Haven, Connecticut, USA
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3
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Qu L, Ma XP, Simayi A, Wang XL, Xu GP. Comparative efficacy of various pharmacologic treatments for alcohol withdrawal syndrome: a systematic review and network meta-analysis. Int Clin Psychopharmacol 2024; 39:148-162. [PMID: 38170803 DOI: 10.1097/yic.0000000000000526] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
This study was to compare multiple classes of medications and medication combinations to find alternatives or additives for patients not applicable to benzodiazepines (BZDs). We performed a network meta-analysis to assess the comparative effect of 11 pharmacologic treatments in patients with alcohol withdrawal syndrome. Forty-one studies were included, comprising a total sample size of 4187 participants. The pooled results from the randomized controlled trials showed that there was no significant difference in the Clinical Institute Withdrawal Assessment-Alcohol, revised (CIWA-Ar) reduction with other medications or medication combinations compared to BZDs. Compared to BZDs, the mean difference in ICU length of stay of anticonvulsants + BZDs was -1.71 days (95% CI = -2.82, -0.59). Efficacy rankings from cohort studies showed that anticonvulsant + BZDs were superior to other treatments in reducing CIWA-Ar scores and reducing the length of stay in the ICU. Synthesis results from randomized controlled trials indicate that there are currently no data suggesting that other medications or medication combinations can fully replace BZDs. However, synthetic results from observational studies have shown that BZDs are effective in the context of adjuvant anticonvulsant therapy, particularly with early use of gabapentin in combination with BZDs in the treatment of alcohol withdrawal syndrome, which represents a promising treatment option.
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Affiliation(s)
- Li Qu
- Department of Anesthesia, People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang, China
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4
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Guiraud J, Spanagel R, van den Brink W. Substitution therapy for patients with alcohol dependence: Mechanisms of action and efficacy. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2024; 175:187-239. [PMID: 38555116 DOI: 10.1016/bs.irn.2024.03.005] [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
New approaches for the treatment of alcohol dependence (AD) may improve patient outcomes. Substitution maintenance therapy is one of the most effective treatment options for opioid and nicotine use disorders. So far, there has been little attention to substitution therapy for the treatment of AD. Here, we explain the mechanistic foundations of alcohol substitution maintenance therapy. Alcohol has many primary targets in the brain (and other organs) and the physical interaction of ethanol molecules with these specific ethanol-sensitive sites on a variety of ionotropic receptors (e.g. GABA-A, NMDA, and nicotinic acetylcholine (nACh) receptors) and ion channels provides the rationale for substitution. As such, a variety of compounds can interact with those ethanol-sensitive sites and can thus substitute for some of the effects of alcohol. For some of these compounds, alcohol discrimination studies have shown their substitution potential. Accordingly, potential substitution treatments include agonists acting at GABA receptors such as sodium oxybate, baclofen and benzodiazepines, NMDA receptor antagonists such as ketamine and memantine, or nAChRs agonists such as varenicline. All these compounds are already approved for other indications and we present clinical evidence for these drugs in the treatment of alcohol withdrawal syndrome (AWS) and in the long-term treatment of AD, and outline future steps for their acceptance as substitution treatment in AD. Finally, we discuss the substitution approach of managed alcohol programs for the most severely affected homeless populations. Results showed that sodium oxybate is probably the closest to a substitution therapy for AD and is already approved for the treatment of AWS and in the long-term treatment of AD in some countries. In conclusion, we argue that better AD treatment can be provided if substitution maintenance treatments for alcohol are implemented at a similar scale as for opioid and nicotine use disorder.
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Affiliation(s)
- Julien Guiraud
- Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands; Vergio, Clichy, France.
| | - Rainer Spanagel
- Institute of Psychopharmacology, Central Institute of Mental Health, Heidelberg University, Mannheim, Germany
| | - Wim van den Brink
- Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
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5
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Zhou H, Kember RL, Deak JD, Xu H, Toikumo S, Yuan K, Lind PA, Farajzadeh L, Wang L, Hatoum AS, Johnson J, Lee H, Mallard TT, Xu J, Johnston KJA, Johnson EC, Nielsen TT, Galimberti M, Dao C, Levey DF, Overstreet C, Byrne EM, Gillespie NA, Gordon S, Hickie IB, Whitfield JB, Xu K, Zhao H, Huckins LM, Davis LK, Sanchez-Roige S, Madden PAF, Heath AC, Medland SE, Martin NG, Ge T, Smoller JW, Hougaard DM, Børglum AD, Demontis D, Krystal JH, Gaziano JM, Edenberg HJ, Agrawal A, Justice AC, Stein MB, Kranzler HR, Gelernter J. Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals. Nat Med 2023; 29:3184-3192. [PMID: 38062264 PMCID: PMC10719093 DOI: 10.1038/s41591-023-02653-5] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 10/18/2023] [Indexed: 12/17/2023]
Abstract
Problematic alcohol use (PAU), a trait that combines alcohol use disorder and alcohol-related problems assessed with a questionnaire, is a leading cause of death and morbidity worldwide. Here we conducted a large cross-ancestry meta-analysis of PAU in 1,079,947 individuals (European, N = 903,147; African, N = 122,571; Latin American, N = 38,962; East Asian, N = 13,551; and South Asian, N = 1,716 ancestries). We observed a high degree of cross-ancestral similarity in the genetic architecture of PAU and identified 110 independent risk variants in within- and cross-ancestry analyses. Cross-ancestry fine mapping improved the identification of likely causal variants. Prioritizing genes through gene expression and chromatin interaction in brain tissues identified multiple genes associated with PAU. We identified existing medications for potential pharmacological studies by a computational drug repurposing analysis. Cross-ancestry polygenic risk scores showed better performance of association in independent samples than single-ancestry polygenic risk scores. Genetic correlations between PAU and other traits were observed in multiple ancestries, with other substance use traits having the highest correlations. This study advances our knowledge of the genetic etiology of PAU, and these findings may bring possible clinical applicability of genetics insights-together with neuroscience, biology and data science-closer.
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Affiliation(s)
- Hang Zhou
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA.
- Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, USA.
| | - Rachel L Kember
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Joseph D Deak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Heng Xu
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Sylvanus Toikumo
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Kai Yuan
- Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Penelope A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia
- Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Leila Farajzadeh
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Lu Wang
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Alexander S Hatoum
- Department of Psychological and Brain Sciences, Washington University in St. Louis, Saint Louis, MO, USA
| | - Jessica Johnson
- Pamela Sklar Division of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hyunjoon Lee
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Travis T Mallard
- Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jiayi Xu
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | | | - Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Trine Tollerup Nielsen
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Marco Galimberti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Cecilia Dao
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Daniel F Levey
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Cassie Overstreet
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Enda M Byrne
- Child Health Research Centre, The University of Queensland, Brisbane, Queensland, Australia
| | - Nathan A Gillespie
- Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Scott Gordon
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - John B Whitfield
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Ke Xu
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
| | - Laura M Huckins
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Lea K Davis
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Division of Medical Genetics, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sandra Sanchez-Roige
- Department of Medicine, Division of Medical Genetics, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Pamela A F Madden
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
- School of Psychology, University of Queensland, Brisbane, Queensland, Australia
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Tian Ge
- Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Jordan W Smoller
- Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Center for Precision Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - David M Hougaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Anders D Børglum
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Ditte Demontis
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
- The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - John H Krystal
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA
- National Center for PTSD, US Department of Veterans Affairs, West Haven, CT, USA
- Department of Psychology, Yale University, New Haven, CT, USA
- Psychiatry and Behavioral Health Services, Yale-New Haven Hospital, New Haven, CT, USA
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC), Boston Veterans Affairs Healthcare System, Boston, MA, USA
- Department of Medicine, Divisions of Aging and Preventative Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Amy C Justice
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, CT, USA
| | - Murray B Stein
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Psychiatry Service, VA San Diego Healthcare System, San Diego, CA, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Henry R Kranzler
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA.
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA.
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, USA.
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Marti-Aguado D, Gougol A, Gomez-Medina C, Jamali A, Abo-Zed A, Morales-Arraez D, Jimenez-Sosa A, Burns K, Bawa A, Hernández A, Pujol C, Alvarado-Tapias E, Szafranska J, Chiu WK, Villagrasa A, Ventura-Cots M, Gandicheruvu H, Lluch P, Chen HW, Rachakonda V, Duarte-Rojo A, Bataller R. Prevalence and clinical impact of alcohol withdrawal syndrome in alcohol-associated hepatitis and the potential role of prophylaxis: a multinational, retrospective cohort study. EClinicalMedicine 2023; 61:102046. [PMID: 37415844 PMCID: PMC10319982 DOI: 10.1016/j.eclinm.2023.102046] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 07/08/2023] Open
Abstract
Background The prevalence and impact of alcohol withdrawal syndrome (AWS) in patients with alcohol-associated hepatitis (AH) are unknown. In this study, we aimed to investigate the prevalence, predictors, management, and clinical impact of AWS in patients hospitalized with AH. Methods A multinational, retrospective cohort study enrolling patients hospitalized with AH at 5 medical centres in Spain and in the USA was performed between January 1st, 2016 to January 31st, 2021. Data were retrospectively retrieved from electronic health records. Diagnosis of AWS was based on clinical criteria and use of sedatives to control AWS symptoms. The primary outcome was mortality. Multivariable models controlling for demographic variables and disease severity were performed to determine predictors of AWS (adjusted odds ratio [OR]) and the impact of AWS condition and management on clinical outcomes (adjusted hazard ratio [HR]). Findings In total, 432 patients were included. The median MELD score at admission was 21.9 (18.3-27.3). The overall prevalence of AWS was 32%. Lower platelet levels (OR = 1.61, 95% CI 1.05-2.48) and previous history of AWS (OR = 2.09, 95% CI 1.31-3.33) were associated with a higher rate of incident AWS, whereas the use of prophylaxis decreased the risk (OR = 0.58, 95% CI 0.36-0.93). The use of intravenous benzodiazepines (HR = 2.18, 95% CI 1.02-4.64) and phenobarbital (HR = 2.99, 95% CI 1.07-8.37) for AWS treatment were independently associated with a higher mortality. The development of AWS increased the rate of infections (OR = 2.24, 95% CI 1.44-3.49), the need for mechanical ventilation (OR = 2.49, 95% CI 1.38-4.49), and ICU admission (OR = 1.96, 95% CI 1.19-3.23). Finally, AWS was associated with higher 28-day (HR = 2.31, 95% CI 1.40-3.82), 90-day (HR = 1.78, 95% CI 1.18-2.69), and 180-day mortality (HR = 1.54, 95% CI 1.06-2.24). Interpretation AWS commonly occurs in patients hospitalized with AH and complicates the hospitalization course. Routine prophylaxis is associated with a lower prevalence of AWS. Prospective studies should determine diagnostic criteria and prophylaxis regimens for AWS management in patients with AH. Funding This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
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Affiliation(s)
- David Marti-Aguado
- Center for Liver Diseases, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
- Digestive Disease Department, Clinic University Hospital, Biomedical Research Institute (INCLIVA), Valencia, Spain
| | - Amir Gougol
- Center for Liver Diseases, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
- University of California, San Francisco (UCSF), San Francisco, CA, USA
| | - Concepcion Gomez-Medina
- Digestive Disease Department, Clinic University Hospital, Biomedical Research Institute (INCLIVA), Valencia, Spain
| | - Arsia Jamali
- Center for Liver Diseases, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Abdelrhman Abo-Zed
- Center for Liver Diseases, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Dalia Morales-Arraez
- Department of Gastroenterology, Hospital Universitario de Canarias, Tenerife, Spain
| | - Alejandro Jimenez-Sosa
- Statistical Consultant Research Unit, Hospital Universitario de Canarias, Tenerife, Spain
| | - Keith Burns
- Center for Liver Diseases, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Aditi Bawa
- Center for Liver Diseases, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Anjara Hernández
- Department of Gastroenterology, Hospital Universitario de Canarias, Tenerife, Spain
| | - Claudia Pujol
- Department of Gastroenterology, Hospital Santa Creu i Sant Pau, Institut de Recerca Sant Pau, Universidad Autónoma de Barcelona, Barcelona, Spain
| | - Edilmar Alvarado-Tapias
- Center for Liver Diseases, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
- Department of Gastroenterology, Hospital Santa Creu i Sant Pau, Institut de Recerca Sant Pau, Universidad Autónoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
| | - Justyna Szafranska
- Department of Pathology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Wai Kan Chiu
- Center for Liver Diseases, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Ares Villagrasa
- Liver Unit, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institute of Research (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Meritxell Ventura-Cots
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
- Liver Unit, Hospital Universitari Vall d'Hebron, Vall d'Hebron Institute of Research (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Haritha Gandicheruvu
- Center for Liver Diseases, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Paloma Lluch
- Digestive Disease Department, Clinic University Hospital, Biomedical Research Institute (INCLIVA), Valencia, Spain
| | | | | | - Andres Duarte-Rojo
- Center for Liver Diseases, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Ramon Bataller
- Center for Liver Diseases, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
- Liver Unit, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
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7
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Zhou H, Kember RL, Deak JD, Xu H, Toikumo S, Yuan K, Lind PA, Farajzadeh L, Wang L, Hatoum AS, Johnson J, Lee H, Mallard TT, Xu J, Johnston KJ, Johnson EC, Galimberti M, Dao C, Levey DF, Overstreet C, Byrne EM, Gillespie NA, Gordon S, Hickie IB, Whitfield JB, Xu K, Zhao H, Huckins LM, Davis LK, Sanchez-Roige S, Madden PAF, Heath AC, Medland SE, Martin NG, Ge T, Smoller JW, Hougaard DM, Børglum AD, Demontis D, Krystal JH, Gaziano JM, Edenberg HJ, Agrawal A, Justice AC, Stein MB, Kranzler HR, Gelernter J. Multi-ancestry study of the genetics of problematic alcohol use in >1 million individuals. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.24.23284960. [PMID: 36747741 PMCID: PMC9901058 DOI: 10.1101/2023.01.24.23284960] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Problematic alcohol use (PAU) is a leading cause of death and disability worldwide. To improve our understanding of the genetics of PAU, we conducted a large cross-ancestry meta-analysis of PAU in 1,079,947 individuals. We observed a high degree of cross-ancestral similarity in the genetic architecture of PAU and identified 110 independent risk variants in within- and cross-ancestry analyses. Cross-ancestry fine-mapping improved the identification of likely causal variants. Prioritizing genes through gene expression and/or chromatin interaction in brain tissues identified multiple genes associated with PAU. We identified existing medications for potential pharmacological studies by drug repurposing analysis. Cross-ancestry polygenic risk scores (PRS) showed better performance in independent sample than single-ancestry PRS. Genetic correlations between PAU and other traits were observed in multiple ancestries, with other substance use traits having the highest correlations. The analysis of diverse ancestries contributed significantly to the findings, and fills an important gap in the literature.
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Affiliation(s)
- Hang Zhou
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- These authors contributed equally
| | - Rachel L. Kember
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- These authors contributed equally
| | - Joseph D. Deak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Heng Xu
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Sylvanus Toikumo
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Kai Yuan
- Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Penelope A. Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Leila Farajzadeh
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Lu Wang
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Alexander S. Hatoum
- Department of Psychological and Brain Sciences, Washington University in St. Louis, Saint Louis, MO, USA
| | - Jessica Johnson
- Pamela Sklar Division of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hyunjoon Lee
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Travis T. Mallard
- Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jiayi Xu
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | | | - Emma C. Johnson
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Marco Galimberti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Cecilia Dao
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Chronic Disease Epidemiology, Yale University School of Public Health, New Haven, CT, USA
| | - Daniel F. Levey
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Cassie Overstreet
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Enda M. Byrne
- Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia
| | - Nathan A. Gillespie
- Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Scott Gordon
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Ian B. Hickie
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - John B. Whitfield
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Ke Xu
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
| | - Laura M. Huckins
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Lea K. Davis
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Division of Medical Genetics, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sandra Sanchez-Roige
- Department of Medicine, Division of Medical Genetics, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Pamela A. F. Madden
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Andrew C. Heath
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Sarah E. Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- School of Psychology, University of Queensland, Brisbane, QLD, Australia
| | - Nicholas G. Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Tian Ge
- Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Jordan W. Smoller
- Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - David M. Hougaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Anders D. Børglum
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Ditte Demontis
- Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - John H. Krystal
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
- National Center for PTSD, US Department of Veterans Affairs, West Haven, CT, USA
| | - J. Michael Gaziano
- Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC), Boston Veterans Affairs Healthcare System, Boston, MA, USA
- Department of Medicine, Divisions of Aging and Preventative Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | | | - Amy C. Justice
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, CT, USA
| | - Murray B. Stein
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- VA San Diego Healthcare System, Psychiatry Service, San Diego, CA, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Henry R. Kranzler
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- These authors jointly supervised this work
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
- These authors jointly supervised this work
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Holzbach R, Droste P, Magerkurth T, Juckel G. Vergleich von Clomethiazol und Oxazepam im Alkoholentzug. SUCHT 2022. [DOI: 10.1024/0939-5911/a000788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Zusammenfassung: Zielsetzung: Vergleich von Clomethiazol mit Oxazepam im Alkoholentzug im Hinblick auf die Inzidenz von Delirien und Krampfanfällen, die Reduktion der Entzugssymptome und die Nebenwirkungen. Methodik: Multizentrische, offene Studie. Zunächst wurden alle Patienten scoregesteuert gemäß der Hamburger Alkoholentzugs-Skala (HAES) mit Oxazepam (n= 202) entzogen, danach mit Clomethiazol (n= 218). Es wurden Patienten mit aktuell schweren Entzügen (mind. 50 mg Oxazepam / 10 Kps. Clomethiazol / 24h) und / oder Komplikationen eingeschlossen. Ergebnisse: In der Oxazepam-Gruppe traten mit 3 gegenüber 1 Delirien und 3 gegenüber 2 Krampfanfällen mehr Komplikationen auf als in den Clomethiazol-gestützten Entzügen (n. s.). Die vegetativen Scorepunkte sanken unter beiden Medikamenten etwa gleich stark. Unter Clomethiazol traten signifikant mehr Nebenwirkungen auf als unter Oxazepam. Schlussfolgerungen: Weder für die Prävention von Delirien und Krampfanfällen noch für die Kupierung der vegetativen Entzugssymptome ließ sich eine eindeutige Überlegenheit eines der beiden Medikamente nachweisen. Allerdings ergaben sich starke Hinweise für ein besseres Nebenwirkungsprofil von Oxazepam. Obwohl nur schwere Entzüge in die Studie eingeschlossen wurden, traten Delire nur bei 1,0 % der Patienten auf, Krampfanfälle bei 1,2 %. Das in der Studie verwendete Entzugskonzept mit der Hamburger Alkoholentzugs-Skala kann daher als eine sehr sichere Methode angesehen werden.
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Affiliation(s)
- Rüdiger Holzbach
- Klinik für Psychiatrie, Klinikum Hochsauerland, Arnsberg, Deutschland
- Klinik für Psychiatrie, Psychotherapie und Präventivmedizin, LWL-Universitätsklinikum der Ruhr-Universität Bochum, Deutschland
| | - Philipp Droste
- Abteilung Suchtmedizin, LWL-Klinik Paderborn, Deutschland
| | | | - Georg Juckel
- Klinik für Psychiatrie, Psychotherapie und Präventivmedizin, LWL-Universitätsklinikum der Ruhr-Universität Bochum, Deutschland
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9
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Bahji A, Bach P, Danilewitz M, Crockford D, el-Guebaly N, Devoe DJ, Saitz R. Comparative efficacy and safety of pharmacotherapies for alcohol withdrawal: a systematic review and network meta-analysis. Addiction 2022; 117:2591-2601. [PMID: 35194860 PMCID: PMC9969997 DOI: 10.1111/add.15853] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 01/30/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND AIMS There have been few head-to-head clinical trials of pharmacotherapies for alcohol withdrawal (AW). We, therefore, aimed to evaluate the comparative performance of pharmacotherapies for AW. METHODS Six databases were searched for randomized clinical trials through November 2021. Trials were included after a blinded review by two independent reviewers. Outcomes included incident seizures, delirium tremens, AW severity scores, adverse events, dropouts, dropouts from adverse events, length of hospital stay, use of additional medications, total benzodiazepine requirements, and death. Effect sizes were pooled using frequentist random-effects network meta-analysis models to generate summary ORs and Cohen's d standardized mean differences (SMDs). RESULTS Across the 149 trials, there were 10 692 participants (76% male, median 43.5 years old). AW severity spanned mild (n = 32), moderate (n = 51), and severe (n = 66). Fixed-schedule chlormethiazole (OR, 0.16; 95% CI, 0.04-0.65), fixed-schedule diazepam (OR, 0.16; 95% CI, 0.04-0.59), fixed-schedule lorazepam (OR = 0.19; 95% CI, 0.08-0.45), fixed-schedule chlordiazepoxide (OR = 0.21; 95% CI, 0.08-0.53), and divalproex (OR = 0.22; 95% CI, 0.05-0.86) were superior to placebo at reducing incident AW seizures. However, only fixed-schedule diazepam (OR, 0.19; 95% CI, 0.05-0.76) reduced incident delirium tremens. Oxcarbazepine (d = -3.69; 95% CI, -6.21 to -1.17), carbamazepine (d = -2.76; 95% CI, -4.13 to -1.40), fixed-schedule oxazepam (d = -2.55; 95% CI, -4.26 to -0.83), and γ-hydroxybutyrate (d = -1.80; 95% CI, -3.35 to -0.26) improved endpoint Clinical Institute Withdrawal Assessment for Alcohol-Revised scores over placebo. Promazine and carbamazepine were the only agents significantly associated with greater dropouts because of adverse events. The quality of evidence was downgraded because of the substantial risk of bias, heterogeneity, inconsistency, and imprecision. CONCLUSIONS Although some pharmacotherapeutic modalities, particularly benzodiazepines, appear to be safe and efficacious for reducing some measures of alcohol withdrawal, methodological issues and a high risk of bias prevent a consistent estimate of their comparative performance.
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Affiliation(s)
- Anees Bahji
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
- British Columbia Centre for Substance Use, Vancouver, BC, Canada
| | - Paxton Bach
- British Columbia Centre for Substance Use, Vancouver, BC, Canada
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Marlon Danilewitz
- Ontario Shores Centre for Mental Health Sciences, Whitby, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - David Crockford
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Nady el-Guebaly
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Daniel J. Devoe
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Richard Saitz
- Department of Community Health Sciences, School of Public Health, Boston University School of Public Health, Boston, MA, USA
- Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA, USA
- Clinical Translational Science Institute, Boston University, Boston, MA, USA
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10
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Wu Y, Qiang Y, Zhang G, Zhou M. Acute toxicity and micronucleus test of conotoxin lt14a in mice. Basic Clin Pharmacol Toxicol 2021; 129:52-60. [PMID: 33742558 DOI: 10.1111/bcpt.13582] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 03/09/2021] [Accepted: 03/15/2021] [Indexed: 01/09/2023]
Abstract
Conotoxins, which target ion channels or neurotransmitter receptors with high specificity, are valuable in drug development for pain, epilepsy and other neurological diseases. However, the toxicology of conotoxins is rarely reported. In this study, we primarily researched parts of the pharmacological and toxicological properties of an analgesic conotoxin lt14a. Three doses of lt14a (1, 5 and 10 mg/kg) could prolong the pentobarbital-induced sleep time of mice and showed no significant effect on the spontaneous locomotor activity of mice. Three doses of lt14a (50, 100 and 200 mg/kg) did not increase micronucleus rate in the micronucleus test. In addition, three doses of lt14a (200, 500 and 1000 mg/kg) showed no pathological change on the heart or brain of mice in the acute toxicity test. The high dose of lt14a (1000 times the effective analgesic dose) had a certain damaging effect on the liver and lung according to serological detection and histopathology. As part of the preclinical studies, our results provide acute toxicity and mutagenicity evaluation of the promising analgesic conotoxin lt14a.
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Affiliation(s)
- Yun Wu
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan, China.,National Engineering Research Center of South China Sea Marine Biotechnology, Guangzhou, China
| | - Yuanyuan Qiang
- National Engineering Research Center of South China Sea Marine Biotechnology, Guangzhou, China.,Ningxia Key Laboratory for Cerebrocranical Disease, Ningxia Medical University, Yinchuan, China
| | - Guangxian Zhang
- National Engineering Research Center of South China Sea Marine Biotechnology, Guangzhou, China.,China School of Fundamental Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Maojun Zhou
- National Engineering Research Center of South China Sea Marine Biotechnology, Guangzhou, China.,Department of Oncology, NHC Key Laboratory of Cancer Proteomics, Xiangya Hospital, Central South University, Changsha, China
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11
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Pribék IK, Kovács I, Kádár BK, Kovács CS, Richman MJ, Janka Z, Andó B, Lázár BA. Evaluation of the course and treatment of Alcohol Withdrawal Syndrome with the Clinical Institute Withdrawal Assessment for Alcohol - Revised: A systematic review-based meta-analysis. Drug Alcohol Depend 2021; 220:108536. [PMID: 33503582 DOI: 10.1016/j.drugalcdep.2021.108536] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 12/11/2020] [Accepted: 12/26/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND Although the Clinical Institute Withdrawal Assessment for Alcohol - Revised (CIWA-Ar) is a gold standard tool for the clinical evaluation of alcohol withdrawal syndrome (AWS), a systematic analysis using the total scores of the CIWA-Ar as a means of an objective follow-up of the course and treatment of AWS is missing. The aims of the present study were to systematically evaluate scientific data using the CIWA-Ar, to reveal whether the aggregated CIWA-Ar total scores follow the course of AWS and to compare benzodiazepine (BZD) and non-benzodiazepine (nBZD) therapies in AWS. METHODS 1054 findings were identified with the keyword "ciwa" from four databases (PubMed, ScienceDirect, Web of Science, Cochrane Registry). Articles using CIWA-Ar in patients treated with AWS were incorporated and two measurement intervals (cumulative mean data of day 1-3 and day 4-9) of the CIWA-Ar total scores were compared. Subgroup analysis based on pharmacotherapy regimen was conducted to compare the effectiveness of BZD and nBZD treatments. RESULTS The random effects analysis of 423 patients showed decreased CIWA-Ar scores between the two measurement intervals (BZD: d = -1.361; CI: -1.829 < δ < -0.893; nBZD: d = -0.858; CI: -1.073 < δ < -0.643). Sampling variances were calculated for the BZD (v1 = 0.215) and the nBZD (v2 = 0.106) groups, which indicated no significant group difference (z = -1.532). CONCLUSIONS Our findings support that the CIWA-Ar follows the course of AWS. Furthermore, nBZD therapy has a similar effectiveness compared to BZD treatment based on the CIWA-Ar total scores.
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Affiliation(s)
- Ildikó Katalin Pribék
- Addiction Research Group, Department of Psychiatry, University of Szeged, 8-10 Korányi fasor, Szeged, H-6720, Hungary.
| | - Ildikó Kovács
- Department of Psychiatry, University of Szeged, 8-10 Korányi fasor, Szeged, H-6720, Hungary
| | - Bettina Kata Kádár
- Addiction Research Group, Department of Psychiatry, University of Szeged, 8-10 Korányi fasor, Szeged, H-6720, Hungary
| | - Csenge Sára Kovács
- Addiction Research Group, Department of Psychiatry, University of Szeged, 8-10 Korányi fasor, Szeged, H-6720, Hungary
| | - Mara J Richman
- Department of Psychiatry and Psychotherapy, Semmelweis University, Balassa Street 8, H-1085, Budapest, Hungary; Endeavor Psychology, 10 Newbury Street, Boston, MA, 02116, USA
| | - Zoltán Janka
- Department of Psychiatry, University of Szeged, 8-10 Korányi fasor, Szeged, H-6720, Hungary
| | - Bálint Andó
- Addiction Research Group, Department of Psychiatry, University of Szeged, 8-10 Korányi fasor, Szeged, H-6720, Hungary
| | - Bence András Lázár
- Addiction Research Group, Department of Psychiatry, University of Szeged, 8-10 Korányi fasor, Szeged, H-6720, Hungary.
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12
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García-Méndez N, Briceño-Santana M, Totomoch-Serra A, Manterola C, Otzen T, Valdez PS, Campos-Durán R, Reyna GC. The hemodynamic effects of diazepam versus dexmedetomidine in the treatment of alcohol withdrawal syndrome: A randomized clinical trial. Med Clin (Barc) 2021; 157:561-568. [PMID: 33423824 DOI: 10.1016/j.medcli.2020.09.023] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 08/30/2020] [Accepted: 09/06/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND Dexmedetomidine (DEX) is an alpha-2 adrenergic drug used for short sedation and as an alternative to diazepam (DZP) in the treatment of alcohol withdrawal syndrome (AWS). PURPOSE This study aims to compare the hemodynamic effect of DZP versus DEX on heart rate (HR) and blood pressure in patients with AWS. METHODS Prospective randomized clinical trial that includes 40 patients with AWS from Mérida, Yucatán, México. RESULTS Forty patients were randomly divided into two groups: one group DZP (n=20) patients received diazepam (doses 5-20mg IV) and the other group (n=20) received DEX (dexmedetomidine infusion .2-.7mcg/kg/min). We obtained statistical significance in sedation with the DEX group in the degree of traumatic brain injury I/II (p=.003). The DEX group remained haemodynamically stable in the first 24h, the mean HR (73.85±8.39) was significant comparing both groups (p=.002). In the comparison of the figures for the DEX group with the DZP (143.85±2.30-137.95±5.62) the SBP was significant with a (p=.0001). Furthermore, DEX treatment was shorter. CONCLUSION Although DEX is not indicated for the routine treatment of AWS, this study proposes a positive effect on HR, SBP and fewer days of treatment compared to the standard DZP treatment for AWS. Clinical Trials.gov ID: NCT03877120-https://clinicaltrials.gov/ct2/show/NCT03877120.
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Affiliation(s)
- Nayely García-Méndez
- PhD Program in Medical Sciences, Universidad de La Frontera, Temuco, Chile; Hospital General del Centro Médico Nacional "La Raza". Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico.
| | - Miguel Briceño-Santana
- Department of Internal Medicine, Hospital General Agustín O'Horán, Mérida, Yucatán, Mexico
| | - Armando Totomoch-Serra
- Center of Excellence in Morphological and Surgical Studies (CEMyQ), Universidad de La Frontera, Temuco, Chile
| | - Carlos Manterola
- PhD Program in Medical Sciences, Universidad de La Frontera, Temuco, Chile; Center of Excellence in Morphological and Surgical Studies (CEMyQ), Universidad de La Frontera, Temuco, Chile
| | - Tamara Otzen
- PhD Program in Medical Sciences, Universidad de La Frontera, Temuco, Chile; Center of Excellence in Morphological and Surgical Studies (CEMyQ), Universidad de La Frontera, Temuco, Chile
| | | | - Ramón Campos-Durán
- Hospital General del Centro Médico Nacional "La Raza". Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | - Guillermo Careaga Reyna
- Hospital General del Centro Médico Nacional "La Raza". Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
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13
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Glahn A, Proskynitopoulos PJ, Bleich S, Hillemacher T. Pharmacotherapeutic management of acute alcohol withdrawal syndrome in critically Ill patients. Expert Opin Pharmacother 2020; 21:1083-1092. [PMID: 32281894 DOI: 10.1080/14656566.2020.1746271] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
INTRODUCTION Alcohol withdrawal syndrome is a common and life-threatening condition in patients suffering from alcohol use disorder. Treatment of this syndrome is challenging, especially in patients that are critically ill, either because of withdrawal symptoms or underlying conditions. For the treatment, several pharmacological agents exist, such as benzodiazepines, barbiturates, or dexmedetomidine. Nonetheless, as alcohol withdrawal syndromes can occur in every clinical setting, it is necessary to provide a guideline for clinicians confronted with this syndrome in varying clinical contexts. AREAS COVERED The authors provide a systematic review of the literature found in PubMed and Embase following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. EXPERT OPINION For the treatment of alcohol withdrawal syndrome, medications targeting the GABA system are preferred. Benzodiazepines are regarded as the gold standard. However, as many adjunct therapeutic options exist, it is essential to find symptom-triggered approaches and treatment protocols for the variety of clinical contexts. Apart from that, it is necessary to compare protocols toward clinical variables rather than investigating medications that are in use for the treatment of alcohol withdrawal syndrome.
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Affiliation(s)
- A Glahn
- Department of Psychiatry, Psychotherapy and Social Psychiatry, Hannover Medical School , Hannover, Germany
| | - P J Proskynitopoulos
- Department of Psychiatry, Psychotherapy and Social Psychiatry, Hannover Medical School , Hannover, Germany
| | - S Bleich
- Department of Psychiatry, Psychotherapy and Social Psychiatry, Hannover Medical School , Hannover, Germany
| | - T Hillemacher
- Department of Psychiatry, Psychotherapy and Social Psychiatry, Hannover Medical School , Hannover, Germany.,Department of Psychiatry and Psychotherapy, Paracelcus Medical University , Nuremberg, Germany
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14
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Bacopa monnieri abrogates alcohol abstinence-induced anxiety-like behavior by regulating biochemical and Gabra1, Gabra4, Gabra5 gene expression of GABAA receptor signaling pathway in rats. Biomed Pharmacother 2019; 111:1417-1428. [DOI: 10.1016/j.biopha.2019.01.048] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2018] [Revised: 01/14/2019] [Accepted: 01/16/2019] [Indexed: 12/20/2022] Open
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Budworth L, Prestwich A, Lawton R, Kotzé A, Kellar I. Preoperative Interventions for Alcohol and Other Recreational Substance Use: A Systematic Review and Meta-Analysis. Front Psychol 2019; 10:34. [PMID: 30778307 PMCID: PMC6369879 DOI: 10.3389/fpsyg.2019.00034] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Accepted: 01/08/2019] [Indexed: 11/13/2022] Open
Abstract
Background: Preoperative alcohol and other recreational substance use (ORSU) may catalyze perioperative complications. Accordingly, interventions aiming to reduce preoperative substance use are warranted. Methods: Studies investigating interventions to reduce alcohol and/or ORSU in elective surgery patients were identified from: Cochrane Library; MEDLINE; PSYCINFO; EMBASE; and CINAHL. In both narrative summaries of results and random effects meta-analyses, effects of interventions on perioperative alcohol/ORSU, complications, mortality and length of stay were assessed. Primary Results: Nine studies (n = 903) were included. Seven used behavioral interventions only, two provided disulfiram in addition. Pooled analyses found small effects on alcohol use (d: 0.34; 0.05-0.64), though two trials using disulfiram (0.71; 0.36-1.07) were superior to two using behavioral interventions (0.45; -0.49-1.39). No significant pooled effects were found for perioperative complications, length of hospital stay or mortality in studies solely targeting alcohol/ORSU. Too few interventions targeting ORSU (n = 1) were located to form conclusions regarding their efficacy. Studies were generally at high risk-of-bias and heterogeneous. Conclusions: Preoperative interventions were beneficial in reducing substance use in some instances, but more high-quality studies targeting alcohol/ORSU specifically are needed. The literature to date does not suggest that such interventions can reduce postoperative morbidity, length of hospital stay or mortality. Limitations in the literature are outlined and recommendations for future studies are suggested.
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Affiliation(s)
- Luke Budworth
- School of Psychology, University of Leeds, Leeds, United Kingdom.,Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, United Kingdom
| | - Andrew Prestwich
- School of Psychology, University of Leeds, Leeds, United Kingdom
| | - Rebecca Lawton
- School of Psychology, University of Leeds, Leeds, United Kingdom.,Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, United Kingdom
| | - Alwyn Kotzé
- Department of Anaesthesia, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Ian Kellar
- School of Psychology, University of Leeds, Leeds, United Kingdom
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