Literature DB >> 33556460

The impact of Drinking in the Dark (DID) procedural manipulations on ethanol intake in High Drinking in the Dark (HDID) mice.

Antonia M Savarese1, Angela R Ozburn2, Amanda M Barkley-Levenson3, Pamela Metten2, John C Crabbe2.   

Abstract

The High Drinking in the Dark mouse lines (HDID-1 and HDID-2) were selectively bred to achieve high blood ethanol concentrations (BECs) in the Drinking in the Dark (DID) task, a widely used model of binge-like intake of 20% ethanol. There are several components that differentiate DID from other animal models of ethanol intake: time of day of testing, length of ethanol access, single-bottle access, and individual housing. Here, we sought to determine how some of these individual factors contribute to the high ethanol intake observed in HDID mice. HDID-1, HDID-2, and non-selected HS/NPT mice were tested in a series of DID experiments where one of the following factors was manipulated: length of ethanol access, fluid choice, number of ethanol bottles, and housing condition. We observed that 1) HDID mice achieve intoxicating BECs in DID, even when they are group-housed; 2) HDID mice continue to show elevated ethanol intake relative to HS/NPT mice during an extended access session, but this is most apparent during the first 4 h of access; and 3) offering a water choice during DID prevents elevated intake in the HDID-1 mice, but not necessarily in HDID-2 mice. Together, these results suggest that the lack of choice in the DID paradigm, together with the length of ethanol access, are important factors contributing to elevated ethanol intake in the HDID mice. These results further suggest important differences between the HDID lines in response to procedural manipulations of housing condition and ethanol bottle number in the DID paradigm, highlighting the distinct characteristics that each of these lines possess, despite being selectively bred for the same phenotype.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Drinking in the Dark; HDID; binge drinking; ethanol intake

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Year:  2021        PMID: 33556460      PMCID: PMC8113115          DOI: 10.1016/j.alcohol.2021.02.001

Source DB:  PubMed          Journal:  Alcohol        ISSN: 0741-8329            Impact factor:   2.558


  43 in total

1.  Relative fluid novelty differentially alters the time course of limited-access ethanol and water intake in selectively bred high-alcohol-preferring mice.

Authors:  David N Linsenbardt; Stephen L Boehm
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Authors:  Deborah A Finn; Christopher Snelling; Andrea M Fretwell; Michelle A Tanchuck; Lisa Underwood; Maury Cole; John C Crabbe; Amanda J Roberts
Journal:  Alcohol Clin Exp Res       Date:  2007-03-31       Impact factor: 3.455

3.  Modeling binge-like ethanol drinking by peri-adolescent and adult P rats.

Authors:  Richard L Bell; Zachary A Rodd; Rebecca J Smith; Jamie E Toalston; Kelle M Franklin; William J McBride
Journal:  Pharmacol Biochem Behav       Date:  2011-07-29       Impact factor: 3.533

4.  Mouse inbred strain differences in ethanol drinking to intoxication.

Authors:  J S Rhodes; M M Ford; C-H Yu; L L Brown; D A Finn; T Garland; J C Crabbe
Journal:  Genes Brain Behav       Date:  2007-02       Impact factor: 3.449

5.  Evaluation of a simple model of ethanol drinking to intoxication in C57BL/6J mice.

Authors:  Justin S Rhodes; Karyn Best; John K Belknap; Deborah A Finn; John C Crabbe
Journal:  Physiol Behav       Date:  2005-01-31

Review 6.  Binge drinking in young adults: Data, definitions, and determinants.

Authors:  Kelly E Courtney; John Polich
Journal:  Psychol Bull       Date:  2009-01       Impact factor: 17.737

Review 7.  Biological contribution to social influences on alcohol drinking: evidence from animal models.

Authors:  Allison M J Anacker; Andrey E Ryabinin
Journal:  Int J Environ Res Public Health       Date:  2010-02-11       Impact factor: 3.390

8.  Rewarding and aversive effects of ethanol in High Drinking in the Dark selectively bred mice.

Authors:  Amanda M Barkley-Levenson; Christopher L Cunningham; Phoebe J Smitasin; John C Crabbe
Journal:  Addict Biol       Date:  2013-07-30       Impact factor: 4.280

9.  Assessing effects of oxytocin on alcohol consumption in socially housed prairie voles using radio frequency tracking.

Authors:  Andre T Walcott; Andrey E Ryabinin
Journal:  Addict Biol       Date:  2020-03-11       Impact factor: 4.280

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

Authors:  Laura B Ferguson; Lingling Zhang; Daniel Kircher; Shi Wang; R Dayne Mayfield; John C Crabbe; Richard A Morrisett; R Adron Harris; Igor Ponomarev
Journal:  Mol Neurobiol       Date:  2018-07-30       Impact factor: 5.590

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