Intravenous morphine self-administration alters accumbal microRNA profiles in the mouse brain

Authors
Kim, JuhwanIm, Heh-InMoon, Changjong
Issue Date
2018-01
Publisher
MEDKNOW PUBLICATIONS & MEDIA PVT LTD
Citation
NEURAL REGENERATION RESEARCH, v.13, no.1, pp.77 - 85
Abstract
A significant amount of evidence indicates that microRNAs (miRNAs) play an important role in drug addiction. The nucleus accumbens (NAc) is a critical part of the brain's reward circuit and is involved in a variety of psychiatric disorders, including depression, anxiety, and drug addiction. However, few studies have examined the expression of miRNAs and their functional roles in the NAc under conditions of morphine addiction. In this study, mice were intravenously infused with morphine (0.01, 0.03, 0.3, 1 and 3 mg/kg/infusion) and showed inverted U-shaped response. After morphine self-administration, NAc was used to analyze the functional networks of altered miRNAs and their putative target mRNAs in the NAc following intravenous self-administration of morphine. We utilized several bioinformatics tools, including Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway mapping and CyTargetLinker. We found that 62 miRNAs were altered and exhibited differential expression patterns. The putative targets were related to diverse regulatory functions, such as neurogenesis, neurodegeneration, and synaptic plasticity, as well as the pharmacological effects of morphine (receptor internalization/endocytosis). The present findings provide novel insights into the regulatory mechanisms of accumbal molecules under conditions of morphine addiction and identify several novel biomarkers associated with morphine addiction.
Keywords
MU-OPIOID RECEPTOR; NUCLEUS-ACCUMBENS; SYNAPTIC PLASTICITY; PHYSICAL-DEPENDENCE; TOLERANCE; ADDICTION; RATS; NEURONS; REWARD; SENSITIZATION; MU-OPIOID RECEPTOR; NUCLEUS-ACCUMBENS; SYNAPTIC PLASTICITY; PHYSICAL-DEPENDENCE; TOLERANCE; ADDICTION; RATS; NEURONS; REWARD; SENSITIZATION; nerve regeneration; nucleus accumbens; microRNA; morphine; self-administration; bioinformatics; neural regeneration
ISSN
1673-5374
URI
https://pubs.kist.re.kr/handle/201004/121851
DOI
10.4103/1673-5374.224374
Appears in Collections:
KIST Article > 2018
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