Literature DB >> 29144544

Effects of Nicotine on Alcohol Drinking in Female Mice Selectively Bred for High or Low Alcohol Preference.

Marcus M Weera1, Molly A Fields1, Danielle N Tapp2, Nicholas J Grahame2, Julia A Chester1.   

Abstract

BACKGROUND: Studies show that repeated nicotine use associates with high alcohol consumption in humans and that nicotine exposure sometimes increases alcohol consumption in animal models. However, the relative roles of genetic predisposition to high alcohol consumption, the alcohol drinking patterns, and the timing of nicotine exposure both with respect to alcohol drinking and developmental stage remain unclear. The studies here manipulated all these variables, using mice selectively bred for differences in free-choice (FC) alcohol consumption to elucidate the role of genetics and nicotine exposure in alcohol consumption behaviors.
METHODS: In Experiments 1 and 2, we assessed the effects of repeated nicotine (0, 0.5, or 1.5 mg/kg) injections immediately before binge-like (drinking-in-the-dark; Experiment 1) or during FC alcohol access (Experiment 2) on these alcohol drinking behaviors (immediately after injections and during re-exposure to alcohol access 14 days later) in adult high- (HAP2) and low-alcohol-preferring (LAP2) female mice (co-exposure model). In Experiments 3 and 4, we assessed the effects of repeated nicotine (0, 0.5, or 1.5 mg/kg) injections 14 days prior to binge-like and FC alcohol access on these alcohol drinking behaviors in adolescent HAP2 and LAP2 female mice (Experiment 3) or adult HAP2 female mice (Experiment 4).
RESULTS: In Experiment 1, we found that repeated nicotine (0.5 and 1.5 mg/kg) and alcohol co-exposure significantly increased binge-like drinking behavior in HAP2 but not LAP2 mice during the re-exposure phase after a 14-day abstinence period. In Experiment 2, 1.5 mg/kg nicotine injections significantly reduced FC alcohol intake and preference in the third hour postinjection in HAP2 but not LAP2 mice. No significant effects of nicotine treatment on binge-like or FC alcohol drinking were observed in Experiments 3 and 4.
CONCLUSIONS: These results show that the temporal parameters of nicotine and alcohol exposure, pattern of alcohol access, and genetic predisposition for alcohol preference influence nicotine's effects on alcohol consumption. These findings in selectively bred mice suggest that humans with a genetic history of alcohol use disorders may be more vulnerable to develop nicotine and alcohol co-use disorders.
Copyright © 2017 by the Research Society on Alcoholism.

Entities:  

Keywords:  Alcohol; Binge-Like Drinking; Genetics; Repeated Nicotine; Selectively Bred Mice

Mesh:

Substances:

Year:  2018        PMID: 29144544      PMCID: PMC5785412          DOI: 10.1111/acer.13555

Source DB:  PubMed          Journal:  Alcohol Clin Exp Res        ISSN: 0145-6008            Impact factor:   3.455


  65 in total

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Review 4.  Comorbid cigarette and alcohol addiction: epidemiology and treatment.

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Journal:  J Addict Dis       Date:  1998

5.  A comparison of multiple injections versus continuous infusion of nicotine for producing up-regulation of neuronal [3H]-epibatidine binding sites.

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7.  Alcohol preference drinking in a mouse line selectively bred for high drinking in the dark.

Authors:  John C Crabbe; Stephanie E Spence; Lauren L Brown; Pamela Metten
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8.  Derivation and characterization of replicate high- and low-alcohol preferring lines of mice and a high-drinking crossed HAP line.

Authors:  Brandon Oberlin; Christina Best; Liana Matson; Angela Henderson; Nicholas Grahame
Journal:  Behav Genet       Date:  2010-09-19       Impact factor: 2.805

9.  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

10.  Selective breeding for high alcohol preference increases the sensitivity of the posterior VTA to the reinforcing effects of nicotine.

Authors:  Sheketha R Hauser; Amy L Bracken; Gerald A Deehan; Jamie E Toalston; Zheng-Ming Ding; William A Truitt; Richard L Bell; William J McBride; Zachary A Rodd
Journal:  Addict Biol       Date:  2013-03-18       Impact factor: 4.280

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