Alcohol Sensitivity as an Endophenotype of Alcohol Use Disorder: Exploring Its Translational Utility between Rodents and Humans
Year: 2020
Type: review
Abstract: Alcohol use disorder (AUD) is a complex, chronic, relapsing disorder with multiple interacting genetic and environmental influences. Numerous studies have verified the influence of genetics on AUD, yet the underlying biological pathways remain unknown. One strategy to interrogate complex diseases is the use of endophenotypes, which deconstruct current diagnostic categories into component traits that may be more amenable to genetic research. In this review, we explore how an endophenotype such as sensitivity to alcohol can be used in conjunction with rodent models to provide mechanistic insights into AUD. We evaluate three alcohol sensitivity endophenotypes (stimulation, intoxication, and aversion) for their translatability across human and rodent research by examining the underlying neurobiology and its relationship to consumption and AUD. We show examples in which results gleaned from rodents are successfully integrated with information from human studies to gain insight in the genetic underpinnings of AUD and AUD-related endophenotypes. Finally, we identify areas for future translational research that could greatly expand our knowledge of the biological and molecular aspects of the transition to AUD with the broad hope of finding better ways to treat this devastating disorder.
Source: Brain Sciences
Authors: Clarissa C. Parker, Ryan Lusk, Laura M. Saba
Institutions: Middlebury College, University of Colorado Anschutz
Language: English
Subfield: Cellular and Molecular Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,690
Awards: Overall NIDA Core "Center of Excellence" in Transcriptomics, Systems Genetics and the Addictome, Genome-Wide Association for Affective Withdrawal in Outbred Mice, The Heritable Transcriptome and Alcoholism, G49804993, Elucidating the role of alternative polyadenylation in alcohol related phenotypes using a novel trans-omics computational approach, G6768973829, G6907231270, G9000062363
OpenAlex ID: W3092945478
