Dissecting Brain Networks Underlying Alcohol Binge Drinking Using a Systems Genomics Approach

• Published in: Molecular neurobiology Vol. 56; no. 4; pp. 2791 - 2810
• Main Authors: Ferguson, Laura B., Zhang, Lingling, Kircher, Daniel, Wang, Shi, Mayfield, R. Dayne, Crabbe, John C., Morrisett, Richard A., Harris, R. Adron, Ponomarev, Igor
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2019; Springer Nature B.V
• Subjects: Addictions; Alcohol abuse; Alcohol use; Alcoholics; Animals; Binge Drinking - genetics; Biomedical and Life Sciences; Biomedicine; Brain; Brain - metabolism; Brain - pathology; Cell Biology; Drinking behavior; Ethanol; Gene expression; Gene Expression Regulation; Gene Regulatory Networks; Genomics; Humans; Hypotheses; Mice; Molecular Sequence Annotation; Neurobiology; Neurology; Neuronal Plasticity; Neurosciences; Nucleus accumbens; Risk factors; Systems Biology; Transcription; Transcriptome - genetics; Ventral tegmentum; Binge drinking; HDID mice; Gene networks; Gene expression; Transcriptome
• ISSN: 0893-7648; 1559-1182; 1559-1182
• DOI: 10.1007/s12035-018-1252-0

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.