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Cheslack-Postava K, Cycowicz YM, Rodriguez-Moreno DV, Amsel LV, Musa GJ, Ryan M, Bresnahan M, Tang H, Geronazzo-Alman L, Bisaga A, Wang Z, He X, Hoven CW. Characteristics of Adolescents with and without a Family History of Substance Use Disorder from a Minority Cohort. CHILDREN (BASEL, SWITZERLAND) 2024; 11:671. [PMID: 38929250 PMCID: PMC11201943 DOI: 10.3390/children11060671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/23/2024] [Accepted: 05/27/2024] [Indexed: 06/28/2024]
Abstract
Family history (FH+) of substance use disorder (SUD) is an established risk factor for offspring SUD. The extent to which offspring psychological traits or the family environment, each of which may be relevant to familial transmission of SUD risk, vary by FH+ in socioeconomically disadvantaged populations is less clear. We compared the family/social environmental and psychological characteristics of 73 FH+ and 69 FH- youth ages 12-16, from a study of parental criminal justice system involvement in a primarily low-income, minority urban population. A latent profile analysis (LPA) empirically identified groups of subjects with similar psychological characteristics, which were then compared by FH+. FH+ youths were found to have greater mean household size, greater parental psychological aggression, and a higher mean number of adverse childhood experiences, even without considering parental SUD. FH+ individuals had lower report card grades according to parental report and were more likely to have a history of externalizing disorders than FH- individuals. However, FH+ was not significantly associated with many psychological characteristics or with the class membership from the LPA. In conclusion, among a population of low-income, minority urban youth, FH+ was associated with differences in the family environment and only subtle differences in individual psychological characteristics.
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Affiliation(s)
- Keely Cheslack-Postava
- New York State Psychiatric Institute, New York, NY 10032, USA
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Yael M. Cycowicz
- New York State Psychiatric Institute, New York, NY 10032, USA
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Diana V. Rodriguez-Moreno
- New York State Psychiatric Institute, New York, NY 10032, USA
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Lawrence V. Amsel
- New York State Psychiatric Institute, New York, NY 10032, USA
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - George J. Musa
- New York State Psychiatric Institute, New York, NY 10032, USA
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Megan Ryan
- New York State Psychiatric Institute, New York, NY 10032, USA
| | - Michaeline Bresnahan
- New York State Psychiatric Institute, New York, NY 10032, USA
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Huilan Tang
- New York State Psychiatric Institute, New York, NY 10032, USA
| | - Lupo Geronazzo-Alman
- New York State Psychiatric Institute, New York, NY 10032, USA
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Adam Bisaga
- New York State Psychiatric Institute, New York, NY 10032, USA
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Zhishun Wang
- New York State Psychiatric Institute, New York, NY 10032, USA
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Xiaofu He
- New York State Psychiatric Institute, New York, NY 10032, USA
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Christina W. Hoven
- New York State Psychiatric Institute, New York, NY 10032, USA
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
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2
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McClellan JM, Zoghbi AW, Buxbaum JD, Cappi C, Crowley JJ, Flint J, Grice DE, Gulsuner S, Iyegbe C, Jain S, Kuo PH, Lattig MC, Passos-Bueno MR, Purushottam M, Stein DJ, Sunshine AB, Susser ES, Walsh CA, Wootton O, King MC. An evolutionary perspective on complex neuropsychiatric disease. Neuron 2024; 112:7-24. [PMID: 38016473 PMCID: PMC10842497 DOI: 10.1016/j.neuron.2023.10.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 08/09/2023] [Accepted: 10/26/2023] [Indexed: 11/30/2023]
Abstract
The forces of evolution-mutation, selection, migration, and genetic drift-shape the genetic architecture of human traits, including the genetic architecture of complex neuropsychiatric illnesses. Studying these illnesses in populations that are diverse in genetic ancestry, historical demography, and cultural history can reveal how evolutionary forces have guided adaptation over time and place. A fundamental truth of shared human biology is that an allele responsible for a disease in anyone, anywhere, reveals a gene critical to the normal biology underlying that condition in everyone, everywhere. Understanding the genetic causes of neuropsychiatric disease in the widest possible range of human populations thus yields the greatest possible range of insight into genes critical to human brain development. In this perspective, we explore some of the relationships between genes, adaptation, and history that can be illuminated by an evolutionary perspective on studies of complex neuropsychiatric disease in diverse populations.
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Affiliation(s)
- Jon M McClellan
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195, USA
| | - Anthony W Zoghbi
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX 77030, USA
| | - Joseph D Buxbaum
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Carolina Cappi
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - James J Crowley
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Jonathan Flint
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Dorothy E Grice
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Suleyman Gulsuner
- Department of Medicine and Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Conrad Iyegbe
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sanjeev Jain
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru 560029, India
| | - Po-Hsiu Kuo
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei 100, Taiwan
| | | | | | - Meera Purushottam
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru 560029, India
| | - Dan J Stein
- SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - Anna B Sunshine
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195, USA; Department of Medicine and Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Ezra S Susser
- Department of Epidemiology, Mailman School of Public Health, and New York State Psychiatric Institute, Columbia University, New York, NY 10032, USA
| | - Christopher A Walsh
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA; Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA
| | - Olivia Wootton
- SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - Mary-Claire King
- Department of Medicine and Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
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3
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Jimenez Ruiz F, Warner NS, Acampora G, Coleman JR, Kohan L. Substance Use Disorders: Basic Overview for the Anesthesiologist. Anesth Analg 2023; 137:508-520. [PMID: 37590795 DOI: 10.1213/ane.0000000000006281] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/19/2023]
Abstract
Substance use disorders (SUDs) represent a current major public health concern in the United States and around the world. Social and economic stressors secondary to the coronavirus disease 2019 (COVID-19) pandemic have likely led to an increase in SUDs around the world. This chronic, debilitating disease is a prevalent health problem, and yet many clinicians do not have adequate training or clinical experience diagnosing and treating SUDs. Anesthesiologists and other perioperative medical staff frequently encounter patients with co-occurring SUDs. By such, through increased awareness and education, physicians and other health care providers have a unique opportunity to positively impact the lives and improve the perioperative outcomes of patients with SUDs. Understanding commonly used terms, potentially effective perioperative screening tools, diagnostic criteria, basics of treatment, and the perioperative implications of SUDs is essential to providing adequate care to patients experiencing this illness.
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Affiliation(s)
- Federico Jimenez Ruiz
- From the Department of Anesthesiology, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Nafisseh S Warner
- Department of Anesthesiology and Perioperative Medicine, Division of Pain Medicine, Mayo Clinic, Rochester, Minnesota
| | - Gregory Acampora
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - John R Coleman
- From the Department of Anesthesiology, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Lynn Kohan
- From the Department of Anesthesiology, University of Virginia School of Medicine, Charlottesville, Virginia
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Strong and weak cross-inheritance of substance use disorders in a nationally representative sample. Mol Psychiatry 2022; 27:1742-1753. [PMID: 34759357 PMCID: PMC9085976 DOI: 10.1038/s41380-021-01370-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Revised: 10/18/2021] [Accepted: 10/19/2021] [Indexed: 12/21/2022]
Abstract
Substance use disorders (SUDs) are moderately to highly heritable and are in part cross-transmitted genetically, as observed in twin and family studies. We performed exome-focused genotyping to examine the cross-transmission of four SUDs: alcohol use disorder (AUD, n = 4487); nicotine use disorder (NUD, n = 4394); cannabis use disorder (CUD, n = 954); and nonmedical prescription opioid use disorder (NMPOUD, n = 346) within a large nationally representative sample (n = 36,309), the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III). All diagnoses were based on in-person structured psychiatric interview (AUDADIS-5). SUD cases were compared alone and together to 3959 "super controls" who had neither a SUD nor a psychiatric disorder using an exome-focused array assaying 363,496 SNPs, yielding a representative view of within-disorder and cross-disorder genetic influences on SUDs. The 29 top susceptibility genes for one or more SUDs overlapped highly with genes previously implicated by GWAS of SUD. Polygenic scores (PGS) were computed within the European ancestry (EA) component of the sample (n = 12,505) using summary statistics from each of four clinically distinct SUDs compared to the 3959 "super controls" but then used for two distinctly different purposes: to predict SUD severity (mild, moderate, or severe) and to predict each of the other 3 SUDs. Our findings based on PGS highlight shared and unshared genetic contributions to the pathogenesis of SUDs, confirming the strong cross-inheritance of AUD and NUD as well as the distinctiveness of inheritance of opioid use disorder.
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He X, Rodriguez-Moreno DV, Cycowicz YM, Cheslack-Postava K, Tang H, Wang Z, Amsel LV, Ryan M, Geronazzo-Alman L, Musa GJ, Bisaga A, Hoven CW. White matter integrity and functional connectivity in adolescents with a parental history of substance use disorder. NEUROIMAGE: REPORTS 2021; 1. [DOI: 10.1016/j.ynirp.2021.100037] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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6
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Rodriguez-Moreno DV, Cycowicz YM, Figner B, Wang Z, He X, Geronazzo-Alman L, Sun X, Cheslack-Postava K, Bisaga A, Hoven CW, Amsel LV. Delay discounting and neurocognitive correlates among inner city adolescents with and without family history of substance use disorder. Dev Cogn Neurosci 2021; 48:100942. [PMID: 33751954 PMCID: PMC8010627 DOI: 10.1016/j.dcn.2021.100942] [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] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 03/05/2021] [Accepted: 03/08/2021] [Indexed: 11/18/2022] Open
Abstract
Adolescents with a family history (FH+) of substance use disorder (SUD) are at a greater risk for SUD, suggested to be partly due to the transmission of behavioral impulsivity. We used a delay discounting task to compare impulsivity in decision-making and its associated brain functioning among FH+ and FH - minority adolescents. Participants chose between Smaller Sooner (SS) and Larger Later (LL) rewards. The SS was available immediately (Now trials) or in the future (Not-Now trials), allowing for greater differentiation between impulsive decisions. The FH+ group showed greater impatience by responding SS more frequently than the FH - group, only on the Now trials, and even when the relative reward differences (RRD) increased. Surprisingly, there were no differences in brain activity between the groups. Combined, the groups showed greater reward activity during the Now vs. Not-Now trials in medial prefrontal/anterior cingulate, posterior cingulate, precuneus, and inferior frontal gyrus (i.e., an immediacy effect). As the RRD increased activation in the reward network decreased, including the striatum, possibly reflecting easy decision-making. These results indicate that risk for SUD, seen behaviorally among FH+ adolescents, may not yet be associated with discernable brain changes, suggesting that early intervention has the potential to reduce this risk.
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Affiliation(s)
| | - Yael M Cycowicz
- New York State Psychiatric Institute, New York, NY, United States; Department of Psychiatry, Columbia University, New York, NY, United States.
| | - Bernd Figner
- Behavioural Science Institute and Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Zhishun Wang
- New York State Psychiatric Institute, New York, NY, United States; Department of Psychiatry, Columbia University, New York, NY, United States
| | - Xiaofu He
- New York State Psychiatric Institute, New York, NY, United States; Department of Psychiatry, Columbia University, New York, NY, United States
| | - Lupo Geronazzo-Alman
- New York State Psychiatric Institute, New York, NY, United States; Department of Psychiatry, Columbia University, New York, NY, United States
| | - Xiaoxiao Sun
- Department of Psychiatry, Columbia University, New York, NY, United States; Department of Bioengineering, Columbia University, New York, NY, United States
| | - Keely Cheslack-Postava
- New York State Psychiatric Institute, New York, NY, United States; Department of Psychiatry, Columbia University, New York, NY, United States
| | - Adam Bisaga
- New York State Psychiatric Institute, New York, NY, United States; Department of Psychiatry, Columbia University, New York, NY, United States
| | - Christina W Hoven
- New York State Psychiatric Institute, New York, NY, United States; Department of Psychiatry, Columbia University, New York, NY, United States; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Lawrence V Amsel
- New York State Psychiatric Institute, New York, NY, United States; Department of Psychiatry, Columbia University, New York, NY, United States
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7
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Lovinger DM, Gremel CM. A Circuit-Based Information Approach to Substance Abuse Research. Trends Neurosci 2021; 44:122-135. [PMID: 33168235 PMCID: PMC7856012 DOI: 10.1016/j.tins.2020.10.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 08/31/2020] [Accepted: 10/07/2020] [Indexed: 01/25/2023]
Abstract
Recent animal research on substance-use disorders (SUDs) has emphasized learning models and the identification of 'addiction-prone' animals. Meanwhile, basic neuroscientific research has elucidated molecular, cellular, and circuit functions with increasing sophistication. However, SUD-related research is hampered by continued arguments over which animal models are more 'addiction like', as well as the facile assignment of behaviors to a given brain region and vice versa. We argue that SUD-related research would benefit from a 'bottom-up' approach including: (i) the characterization of different brain circuits to understand their normal function as well as how they respond to drugs and contribute to SUDs; and (ii) a focus on the use patterns and neurobiological effects of different substances to understand the range of critical SUD-related in vivo phenotypes.
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Affiliation(s)
- David M Lovinger
- Laboratory for Integrative Neuroscience, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA.
| | - Christina M Gremel
- Department of Psychology, University of California, San Diego, La Jolla, CA, USA
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8
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Q P, KC W, CL E. Common genetic substrates of alcohol and substance use disorder severity revealed by pleiotropy detection against GWAS catalog in two populations. Addict Biol 2021; 26:e12877. [PMID: 32027075 PMCID: PMC7415504 DOI: 10.1111/adb.12877] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2019] [Revised: 11/15/2019] [Accepted: 01/11/2020] [Indexed: 12/01/2022]
Abstract
Alcohol and other substance use disorders (AUD and SUD) are complex diseases that are postulated to have a polygenic inheritance and are often comorbid with other disorders. The comorbidities may arise partially through genetic pleiotropy. Identification of specific gene variants accounting for large parts of the variance in these disorders has yet to be accomplished. We describe a flexible strategy that takes a variant-trait association database and determines if a subset of disease/straits are potentially pleiotropic with the disorder under study. We demonstrate its usage in a study of use disorders in two independent cohorts: alcohol, stimulants, cannabis (CUD), and multi-substance use disorders (MSUD) in American Indians (AI) and AUD and CUD in Mexican Americans (MA). Using a machine learning method with variants in GWAS catalog, we identified 229 to 246 pleiotropic variants for AI and 153 to 160 for MA for each SUD. Inflammation was the most enriched for MSUD and AUD in AIs. Neurological disorder was the most significantly enriched for CUD in both cohorts, and for AUD and stimulants in AIs. Of the select pleiotropic genes shared among substances-cohorts, multiple biological pathways implicated in SUD and other psychiatric disorders were enriched, including neurotrophic factors, immune responses, extracellular matrix, and circadian regulation. Shared pleiotropic genes were significantly up-regulated in brain regions playing important roles in SUD, down-regulated in esophagus mucosa, and differentially regulated in adrenal gland. This study fills a gap for pleiotropy detection in understudied admixed populations and identifies pleiotropic variants that may be potential targets of interest for SUD.
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Affiliation(s)
- Peng Q
- Department of Neuroscience, The Scripps Research Institute, La Jolla, CA 92037 USA
| | - Wilhelmsen KC
- Department of Genetics and Neurology, University of North Carolina, Chapel Hill, NC 27599 USA
| | - Ehlers CL
- Department of Neuroscience, The Scripps Research Institute, La Jolla, CA 92037 USA
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9
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Blanco L, Sió A, Hogg B, Esteve R, Radua J, Solanes A, Gardoki-Souto I, Sauras R, Farré A, Castillo C, Valiente-Gómez A, Pérez V, Torrens M, Amann BL, Moreno-Alcázar A. Traumatic Events in Dual Disorders: Prevalence and Clinical Characteristics. J Clin Med 2020; 9:E2553. [PMID: 32781718 PMCID: PMC7466030 DOI: 10.3390/jcm9082553] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 07/24/2020] [Accepted: 07/31/2020] [Indexed: 12/11/2022] Open
Abstract
Psychological trauma has been identified in substance use disorders (SUD) as a major etiological risk factor. However, detailed and systematic data about the prevalence and types of psychological trauma in dual disorders have been scarce to date. In this study, 150 inpatients were recruited and cross-sectionally screened on their substance use severity, psychological trauma symptoms, comorbidities, and clinical severity. One hundred patients fulfilled criteria for a dual disorder, while 50 patients were diagnosed with only SUD. Ninety-four percent of the whole sample suffered from at least one lifetime traumatic event. The prevalence rates of Posttraumatic Stress Disorder diagnosis for dual disorder and only SUD was around 20% in both groups; however, patients with dual disorder presented more adverse events, more childhood trauma, more dissociative symptoms, and a more severe clinical profile than patients with only SUD. Childhood maltreatment can also serve as a predictor for developing a dual disorder diagnosis and as a risk factor for developing a more complex and severe clinical profile. These data challenge our current clinical practice in the treatment of patients suffering from dual disorder or only SUD diagnosis and favor the incorporation of an additional trauma-focused therapy in this population. This may improve the prognosis and the course of the illness in these patients.
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Affiliation(s)
- Laura Blanco
- Benito Menni Complex Assistencial en Salut Mental, Sant Boi de Llobregat, 08830 Barcelona, Spain; (L.B.); (A.S.)
- Department of Personality, Evaluation and Psychological Treatments, University of Barcelona, 08007 Barcelona, Spain
| | - Albert Sió
- Benito Menni Complex Assistencial en Salut Mental, Sant Boi de Llobregat, 08830 Barcelona, Spain; (L.B.); (A.S.)
| | - Bridget Hogg
- Centre Fòrum Research Unit, Institut de Neuropsiquiatria i Addiccions, Parc de Salut Mar, 08019 Barcelona, Spain; (B.H.); (I.G.-S.); (A.V.-G.); (A.M.-A.)
- Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain; (V.P.); (M.T.)
| | - Ricard Esteve
- Institut de Neuropsiquiatria i Addiccions, Parc de Salut Mar, 08003 Barcelona, Spain; (R.E.); (R.S.); (A.F.); (C.C.)
| | - Joaquim Radua
- Imaging of Mood and Anxiety-Related Disorders (IMARD) group, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain; (J.R.); (A.S.)
- Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London WC2R2LS, UK
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Solna, 17177 Stockholm, Sweden
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), 28029 Madrid, Spain
| | - Aleix Solanes
- Imaging of Mood and Anxiety-Related Disorders (IMARD) group, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain; (J.R.); (A.S.)
| | - Itxaso Gardoki-Souto
- Centre Fòrum Research Unit, Institut de Neuropsiquiatria i Addiccions, Parc de Salut Mar, 08019 Barcelona, Spain; (B.H.); (I.G.-S.); (A.V.-G.); (A.M.-A.)
- Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain; (V.P.); (M.T.)
| | - Rosa Sauras
- Institut de Neuropsiquiatria i Addiccions, Parc de Salut Mar, 08003 Barcelona, Spain; (R.E.); (R.S.); (A.F.); (C.C.)
| | - Adriana Farré
- Institut de Neuropsiquiatria i Addiccions, Parc de Salut Mar, 08003 Barcelona, Spain; (R.E.); (R.S.); (A.F.); (C.C.)
| | - Claudio Castillo
- Institut de Neuropsiquiatria i Addiccions, Parc de Salut Mar, 08003 Barcelona, Spain; (R.E.); (R.S.); (A.F.); (C.C.)
| | - Alicia Valiente-Gómez
- Centre Fòrum Research Unit, Institut de Neuropsiquiatria i Addiccions, Parc de Salut Mar, 08019 Barcelona, Spain; (B.H.); (I.G.-S.); (A.V.-G.); (A.M.-A.)
- Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain; (V.P.); (M.T.)
- Institut de Neuropsiquiatria i Addiccions, Parc de Salut Mar, 08003 Barcelona, Spain; (R.E.); (R.S.); (A.F.); (C.C.)
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), 28029 Madrid, Spain
- Department of Psychiatry, Universitat Autònoma de Barcelona, Bellaterra, 08193 Barcelona, Spain
| | - Víctor Pérez
- Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain; (V.P.); (M.T.)
- Institut de Neuropsiquiatria i Addiccions, Parc de Salut Mar, 08003 Barcelona, Spain; (R.E.); (R.S.); (A.F.); (C.C.)
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), 28029 Madrid, Spain
- Department of Psychiatry, Universitat Autònoma de Barcelona, Bellaterra, 08193 Barcelona, Spain
| | - Marta Torrens
- Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain; (V.P.); (M.T.)
- Institut de Neuropsiquiatria i Addiccions, Parc de Salut Mar, 08003 Barcelona, Spain; (R.E.); (R.S.); (A.F.); (C.C.)
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), 28029 Madrid, Spain
- Department of Psychiatry, Universitat Autònoma de Barcelona, Bellaterra, 08193 Barcelona, Spain
- RETICS-Redes Temáticas de Investigación Cooperativa en Salud en Trastornos Adictivos, 08003 Barcelona, Spain
| | - Benedikt L. Amann
- Centre Fòrum Research Unit, Institut de Neuropsiquiatria i Addiccions, Parc de Salut Mar, 08019 Barcelona, Spain; (B.H.); (I.G.-S.); (A.V.-G.); (A.M.-A.)
- Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain; (V.P.); (M.T.)
- Institut de Neuropsiquiatria i Addiccions, Parc de Salut Mar, 08003 Barcelona, Spain; (R.E.); (R.S.); (A.F.); (C.C.)
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), 28029 Madrid, Spain
- Department of Psychiatry, Universitat Autònoma de Barcelona, Bellaterra, 08193 Barcelona, Spain
| | - Ana Moreno-Alcázar
- Centre Fòrum Research Unit, Institut de Neuropsiquiatria i Addiccions, Parc de Salut Mar, 08019 Barcelona, Spain; (B.H.); (I.G.-S.); (A.V.-G.); (A.M.-A.)
- Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain; (V.P.); (M.T.)
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), 28029 Madrid, Spain
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Ryvkin J, Bentzur A, Zer-Krispil S, Shohat-Ophir G. Mechanisms Underlying the Risk to Develop Drug Addiction, Insights From Studies in Drosophila melanogaster. Front Physiol 2018; 9:327. [PMID: 29740329 PMCID: PMC5928757 DOI: 10.3389/fphys.2018.00327] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2017] [Accepted: 03/15/2018] [Indexed: 12/21/2022] Open
Abstract
The ability to adapt to environmental changes is an essential feature of biological systems, achieved in animals by a coordinated crosstalk between neuronal and hormonal programs that allow rapid and integrated organismal responses. Reward systems play a key role in mediating this adaptation by reinforcing behaviors that enhance immediate survival, such as eating or drinking, or those that ensure long-term survival, such as sexual behavior or caring for offspring. Drugs of abuse co-opt neuronal and molecular pathways that mediate natural rewards, which under certain circumstances can lead to addiction. Many factors can contribute to the transition from drug use to drug addiction, highlighting the need to discover mechanisms underlying the progression from initial drug use to drug addiction. Since similar responses to natural and drug rewards are present in very different animals, it is likely that the central systems that process reward stimuli originated early in evolution, and that common ancient biological principles and genes are involved in these processes. Thus, the neurobiology of natural and drug rewards can be studied using simpler model organisms that have their systems stripped of some of the immense complexity that exists in mammalian brains. In this paper we review studies in Drosophila melanogaster that model different aspects of natural and drug rewards, with an emphasis on how motivational states shape the value of the rewarding experience, as an entry point to understanding the mechanisms that contribute to the vulnerability of drug addiction.
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Affiliation(s)
- Julia Ryvkin
- The Mina & Everard Goodman Faculty of Life Sciences and The Leslie and Susan Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel
| | - Assa Bentzur
- The Mina & Everard Goodman Faculty of Life Sciences and The Leslie and Susan Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel
| | - Shir Zer-Krispil
- The Mina & Everard Goodman Faculty of Life Sciences and The Leslie and Susan Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel
| | - Galit Shohat-Ophir
- The Mina & Everard Goodman Faculty of Life Sciences and The Leslie and Susan Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel
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Chen J, Ma Y, Fan R, Yang Z, Li MD. Implication of Genes for the N-Methyl-D-Aspartate (NMDA) Receptor in Substance Addictions. Mol Neurobiol 2018; 55:7567-7578. [PMID: 29429049 DOI: 10.1007/s12035-018-0877-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Accepted: 01/07/2018] [Indexed: 12/17/2022]
Abstract
Drug dependence is a chronic brain disease with harmful consequences for both individual users and society. Glutamate is a primary excitatory neurotransmitter in the brain, and both in vivo and in vitro experiments have implicated N-methyl-D-aspartate (NMDA) receptor, a glutamate receptor, as an element in various types of addiction. Recent findings from genetics-based approaches such as genome-wide linkage, candidate gene association, genome-wide association (GWA), and next-generation sequencing have demonstrated the significant association of NMDA receptor subunit genes such as GluN3A, GluN2B, and GluN2A with various addiction-related phenotypes. Of these genes, GluN3A has been the most studied, and it has been revealed to play crucial roles in the etiology of addictions. In this communication, we provide an updated view of the genetic effects of NMDA receptor subunit genes and their functions in the etiology of addictions based on the findings from investigation of both common and rare variants as well as SNP-SNP interactions. To better understand the molecular mechanisms underlying addiction-related behaviors and to promote the development of specific medicines for the prevention and treatment of addictions, current efforts aim not only to identify more causal variants in NMDA receptor subunits by using large independent samples but also to reveal the molecular functions of these variants in addictions.
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Affiliation(s)
- Jiali Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, China
| | - Yunlong Ma
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, China
| | - Rongli Fan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhongli Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, China.
| | - Ming D Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University School of Medicine, Hangzhou, China. .,Research Center for Air Pollution and Health, Zhejiang University, Hangzhou, China. .,Institute of NeuroImmune Pharmacology, Seton Hall University, South Orange, NJ, USA.
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Affiliation(s)
- James A. Levine
- Health Solutions, Mayo Clinic Arizona and Arizona State University, Suite 200 CRB, 13400 East Shea Blvd, Scottsdale, AZ 85259, USA
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