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

被引:22
|
作者
Ferguson, Laura B. [1 ,2 ]
Zhang, Lingling [1 ]
Kircher, Daniel [1 ]
Wang, Shi [1 ]
Mayfield, R. Dayne [1 ]
Crabbe, John C. [3 ,4 ]
Morrisett, Richard A. [1 ]
Harris, R. Adron [1 ]
Ponomarev, Igor [1 ]
机构
[1] Univ Texas Austin, Waggoner Ctr Alcohol & Addict Res, Austin, TX 78712 USA
[2] Univ Texas Austin, Inst Neurosci, Austin, TX 78712 USA
[3] VA Portland Hlth Care Syst, Portland Alcohol Res Ctr, Portland, OR USA
[4] Oregon Hlth & Sci Univ, Dept Behav Neurosci, Portland, OR 97201 USA
关键词
Gene expression; Binge drinking; Transcriptome; Gene networks; HDID mice; ETHANOL EXPOSURE; TRANSCRIPTOME; NEURONS; PLASTICITY; MICE; CONSUMPTION; MECHANISMS; SELECTION; DATABASE; CIRCUITS;
D O I
10.1007/s12035-018-1252-0
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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-naive 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.
引用
收藏
页码:2791 / 2810
页数:20
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