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Modeling Brain Gene Expression in Alcohol Use Disorder with Genetic Animal Models

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Current Topics in Behavioral Neurosciences

Abstract

Animal genetic models have and will continue to provide important new information about the behavioral and physiological adaptations associated with alcohol use disorder (AUD). This chapter focuses on two models, ethanol preference and drinking in the dark (DID), their usefulness in interrogating brain gene expression data and the relevance of the data obtained to interpret AUD-related GWAS and TWAS studies. Both the animal and human data point to the importance for AUD of changes in synaptic transmission (particularly glutamate and GABA transmission), of changes in the extracellular matrix (specifically including collagens, cadherins and protocadherins) and of changes in neuroimmune processes. The implementation of new technologies (e.g., cell type-specific gene expression) is expected to further enhance the value of genetic animal models in understanding AUD.

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Acknowledgments

National Institutes of Health National Institute on Alcohol Abuse and Alcoholism grants R01AA13484 (R.H.) and U01AA013519 (A.O.) and P60AA010760 (R.H. and A.O.), National Institutes of Health National Institute on Drug Abuse grants R01DA046081 (T.P.), the Department of Veterans Affairs grants I01BX002106 (T.P.) and IO1BX004699 (A.O.), Department of Veterans Affairs Research Career Scientist grant 15F-RCS-009 (T.P.) and a gift from the John R. Andrews family (A.O.). Note that Tamara Phillips (T.P.) is funded under the name Tamara Richards.

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Correspondence to Robert Hitzemann .

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Hitzemann, R., Ozburn, A.R., Lockwood, D., Phillips, T.J. (2023). Modeling Brain Gene Expression in Alcohol Use Disorder with Genetic Animal Models. In: Current Topics in Behavioral Neurosciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/7854_2023_455

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  • DOI: https://doi.org/10.1007/7854_2023_455

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  • Publisher Name: Springer, Berlin, Heidelberg

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