Literature DB >> 22535308

Cocaine self-administration behaviors in ClockΔ19 mice.

Angela Renee Ozburn1, Erin Beth Larson, David W Self, Colleen A McClung.   

Abstract

RATIONALE: A key role has been identified for the circadian locomotor output cycles kaput (Clock) gene in the regulation of drug reward. Mice bearing a dominant negative mutation in the Clock gene (ClockΔ19 mice) exhibit increased cocaine-induced conditioned place preference, reduced anxiety- and depression-like behavior, increased sensitivity to intracranial self-stimulation, and increased dopaminergic cell activity in the ventral tegmental area.
OBJECTIVES: We sought to determine if this hyperhedonic phenotype extends to cocaine self-administration and measures of motivation.
METHODS: Two separate serial testing procedures were carried out (n = 7-10/genotype/schedule). Testing began with acquisition of sucrose pellet self-administration, implantation of intravenous catheter, acquisition of cocaine self-administration, and dose-response testing (fixed ratio or progressive ratio). To evaluate diurnal variations in acquisition behavior, these sessions occurred at Zeitgeber 2 (ZT2) or ZT14.
RESULTS: WT and ClockΔ19 mice exhibited similar learning and readily acquired food self-administration at both ZT2 and ZT14. However, only ClockΔ19 mice acquired cocaine self-administration at ZT2. A greater percentage of ClockΔ19 mice reached acquisition criteria at ZT2 and ZT14. ClockΔ19 mice self-administered more cocaine than WT mice. Using fixed ratio and progressive ratio schedules of reinforcement dose-response paradigms, we found that cocaine is a more efficacious reinforcer in ClockΔ19 mice than in WT mice.
CONCLUSION: Our results demonstrate that the Clock gene plays an important role in cocaine reinforcement and that decreased CLOCK function increases vulnerability for cocaine use.

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Year:  2012        PMID: 22535308      PMCID: PMC3670183          DOI: 10.1007/s00213-012-2704-2

Source DB:  PubMed          Journal:  Psychopharmacology (Berl)        ISSN: 0033-3158            Impact factor:   4.530


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