» Articles » PMID: 33556460

The Impact of Drinking in the Dark (DID) Procedural Manipulations on Ethanol Intake in High Drinking in the Dark (HDID) Mice

Overview
Journal Alcohol
Specialty Psychiatry
Date 2021 Feb 8
PMID 33556460
Citations 2
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Sex-dependent, lateralized engagement of anterior insular cortex inputs to the dorsolateral striatum in binge alcohol drinking.

Haggerty D, Atwood B Elife. 2024; 13.

PMID: 39196613 PMC: 11357341. DOI: 10.7554/eLife.96534.


Midazolam, methamphetamine, morphine and nicotine intake in high-drinking-in-the-dark mice.

Savarese A, Metten P, Phillips T, Jensen B, Crabbe J, Ozburn A Addict Biol. 2022; 27(5):e13212.

PMID: 36001437 PMC: 9677807. DOI: 10.1111/adb.13212.

References
1.
Anacker A, Ryabinin A . Biological contribution to social influences on alcohol drinking: evidence from animal models. Int J Environ Res Public Health. 2010; 7(2):473-93. PMC: 2872279. DOI: 10.3390/ijerph7020473. View

2.
Barkley-Levenson A, Cunningham C, Smitasin P, Crabbe J . Rewarding and aversive effects of ethanol in High Drinking in the Dark selectively bred mice. Addict Biol. 2013; 20(1):80-90. PMC: 3866216. DOI: 10.1111/adb.12079. View

3.
Walcott A, Ryabinin A . Assessing effects of oxytocin on alcohol consumption in socially housed prairie voles using radio frequency tracking. Addict Biol. 2020; 26(2):e12893. PMC: 7483374. DOI: 10.1111/adb.12893. View

4.
Rhodes J, Best K, Belknap J, Finn D, Crabbe J . Evaluation of a simple model of ethanol drinking to intoxication in C57BL/6J mice. Physiol Behav. 2005; 84(1):53-63. DOI: 10.1016/j.physbeh.2004.10.007. View

5.
Ferguson L, Zhang L, Kircher D, Wang S, Mayfield R, Crabbe J . Dissecting Brain Networks Underlying Alcohol Binge Drinking Using a Systems Genomics Approach. Mol Neurobiol. 2018; 56(4):2791-2810. PMC: 6459809. DOI: 10.1007/s12035-018-1252-0. View