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Dissecting Brain Networks Underlying Alcohol Binge Drinking Using a Systems Genomics Approach.
Ferguson, Laura B; Zhang, Lingling; Kircher, Daniel; Wang, Shi; Mayfield, R Dayne; Crabbe, John C; Morrisett, Richard A; Harris, R Adron; Ponomarev, Igor.
Afiliação
  • Ferguson LB; The Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, USA.
  • Zhang L; The Institute for Neuroscience, The University of Texas at Austin, Austin, TX, USA.
  • Kircher D; The Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, USA.
  • Wang S; The Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, USA.
  • Mayfield RD; The Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, USA.
  • Crabbe JC; The Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, USA.
  • Morrisett RA; Portland Alcohol Research Center, VA Portland Health Care System, Portland, OR, USA.
  • Harris RA; Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, USA.
  • Ponomarev I; The Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, USA.
Mol Neurobiol ; 56(4): 2791-2810, 2019 Apr.
Article em En | MEDLINE | ID: mdl-30062672
ABSTRACT
Alcohol use disorder (AUD) is a complex psychiatric disorder with strong genetic and environmental risk factors. We studied the molecular perturbations underlying risky drinking behavior by measuring transcriptome changes across the neurocircuitry of addiction in a genetic mouse model of binge drinking. Sixteen generations of selective breeding for high blood alcohol levels after a binge drinking session produced global changes in brain gene expression in alcohol-naïve High Drinking in the Dark (HDID-1) mice. Using gene expression profiles to generate circuit-level hypotheses, we developed a systems approach that integrated regulation of gene coexpression networks across multiple brain regions, neuron-specific transcriptional signatures, and knowledgebase analytics. Whole-cell, voltage-clamp recordings from nucleus accumbens shell neurons projecting to the ventral tegmental area showed differential ethanol-induced plasticity in HDID-1 and control mice and provided support for one of the hypotheses. There were similarities in gene networks between HDID-1 mouse brains and postmortem brains of human alcoholics, suggesting that some gene expression patterns associated with high alcohol consumption are conserved across species. This study demonstrated the value of gene networks for data integration across biological modalities and species to study mechanisms of disease.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Genômica / Biologia de Sistemas / Redes Reguladoras de Genes / Consumo Excessivo de Bebidas Alcoólicas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: Mol Neurobiol Assunto da revista: BIOLOGIA MOLECULAR / NEUROLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Genômica / Biologia de Sistemas / Redes Reguladoras de Genes / Consumo Excessivo de Bebidas Alcoólicas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: Mol Neurobiol Assunto da revista: BIOLOGIA MOLECULAR / NEUROLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos
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