Cargando…

Identification of key genes, pathways, and miRNA/mRNA regulatory networks of CUMS-induced depression in nucleus accumbens by integrated bioinformatics analysis

INTRODUCTION: Major depressive disorder (MDD) is a recurrent, devastating mental disorder, which affects >350 million people worldwide, and exerts substantial public health and financial costs to society. Thus, there is a significant need to discover innovative therapeutics to treat depression ef...

Descripción completa

Detalles Bibliográficos
Autores principales: Ma, Ke, Zhang, Hongxiu, Wei, Guohui, Dong, Zhenfei, Zhao, Haijun, Han, Xiaochun, Song, Xiaobin, Zhang, Huiling, Zong, Xin, Baloch, Zulqarnain, Wang, Shijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6421879/
https://www.ncbi.nlm.nih.gov/pubmed/30936699
http://dx.doi.org/10.2147/NDT.S200264
_version_ 1783404311998365696
author Ma, Ke
Zhang, Hongxiu
Wei, Guohui
Dong, Zhenfei
Zhao, Haijun
Han, Xiaochun
Song, Xiaobin
Zhang, Huiling
Zong, Xin
Baloch, Zulqarnain
Wang, Shijun
author_facet Ma, Ke
Zhang, Hongxiu
Wei, Guohui
Dong, Zhenfei
Zhao, Haijun
Han, Xiaochun
Song, Xiaobin
Zhang, Huiling
Zong, Xin
Baloch, Zulqarnain
Wang, Shijun
author_sort Ma, Ke
collection PubMed
description INTRODUCTION: Major depressive disorder (MDD) is a recurrent, devastating mental disorder, which affects >350 million people worldwide, and exerts substantial public health and financial costs to society. Thus, there is a significant need to discover innovative therapeutics to treat depression efficiently. Stress-induced dysfunction in the subtype of neuronal cells and the change of synaptic plasticity and structural plasticity of nucleus accumbens (NAc) are implicated in depression symptomology. However, the molecular and epigenetic mechanisms and stresses to the NAc pathological changes in depression remain elusive. MATERIALS AND METHODS: In this study, treatment group mice were treated continually with the chronic unpredictable mild stress (CUMS) until expression of depression-like behaviors were found. Depression was confirmed with sucrose preference, novelty-suppressed feeding, forced swimming, and tail suspension tests. We applied high-throughput RNA sequencing to assess microRNA expression and transcriptional profiles in the NAc tissue from depression-like behaviors mice and control mice. The regulatory network of miRNAs/mRNAs was constructed based on the high-throughput RNA sequence and bioinformatics software predictions. RESULTS: A total of 17 miRNAs and 10 mRNAs were significantly upregulated in the NAc of CUMS-induced mice with depression-like behaviors, and 12 miRNAs and 29 mRNAs were downregulated. A series of bioinformatics analyses showed that these altered miRNAs predicted target mRNA and differentially expressed mRNAs were significantly enriched in the MAPK signaling pathway, GABAergic synapse, dopaminergic synapse, cytokine–cytokine receptor interaction, axon guidance, regulation of autophagy, and so on. Furthermore, dual luciferase report assay and qRT-PCR results validated the miRNA/mRNA regulatory network. CONCLUSION: The deteriorations of GABAergic synapses, dopaminergic synapses, neurotransmitter synthesis, as well as autophagy-associated apoptotic pathway are associated with the molecular pathological mechanism of CUMS-induced depression.
format Online
Article
Text
id pubmed-6421879
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Dove Medical Press
record_format MEDLINE/PubMed
spelling pubmed-64218792019-04-01 Identification of key genes, pathways, and miRNA/mRNA regulatory networks of CUMS-induced depression in nucleus accumbens by integrated bioinformatics analysis Ma, Ke Zhang, Hongxiu Wei, Guohui Dong, Zhenfei Zhao, Haijun Han, Xiaochun Song, Xiaobin Zhang, Huiling Zong, Xin Baloch, Zulqarnain Wang, Shijun Neuropsychiatr Dis Treat Original Research INTRODUCTION: Major depressive disorder (MDD) is a recurrent, devastating mental disorder, which affects >350 million people worldwide, and exerts substantial public health and financial costs to society. Thus, there is a significant need to discover innovative therapeutics to treat depression efficiently. Stress-induced dysfunction in the subtype of neuronal cells and the change of synaptic plasticity and structural plasticity of nucleus accumbens (NAc) are implicated in depression symptomology. However, the molecular and epigenetic mechanisms and stresses to the NAc pathological changes in depression remain elusive. MATERIALS AND METHODS: In this study, treatment group mice were treated continually with the chronic unpredictable mild stress (CUMS) until expression of depression-like behaviors were found. Depression was confirmed with sucrose preference, novelty-suppressed feeding, forced swimming, and tail suspension tests. We applied high-throughput RNA sequencing to assess microRNA expression and transcriptional profiles in the NAc tissue from depression-like behaviors mice and control mice. The regulatory network of miRNAs/mRNAs was constructed based on the high-throughput RNA sequence and bioinformatics software predictions. RESULTS: A total of 17 miRNAs and 10 mRNAs were significantly upregulated in the NAc of CUMS-induced mice with depression-like behaviors, and 12 miRNAs and 29 mRNAs were downregulated. A series of bioinformatics analyses showed that these altered miRNAs predicted target mRNA and differentially expressed mRNAs were significantly enriched in the MAPK signaling pathway, GABAergic synapse, dopaminergic synapse, cytokine–cytokine receptor interaction, axon guidance, regulation of autophagy, and so on. Furthermore, dual luciferase report assay and qRT-PCR results validated the miRNA/mRNA regulatory network. CONCLUSION: The deteriorations of GABAergic synapses, dopaminergic synapses, neurotransmitter synthesis, as well as autophagy-associated apoptotic pathway are associated with the molecular pathological mechanism of CUMS-induced depression. Dove Medical Press 2019-03-14 /pmc/articles/PMC6421879/ /pubmed/30936699 http://dx.doi.org/10.2147/NDT.S200264 Text en © 2019 Ma et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Ma, Ke
Zhang, Hongxiu
Wei, Guohui
Dong, Zhenfei
Zhao, Haijun
Han, Xiaochun
Song, Xiaobin
Zhang, Huiling
Zong, Xin
Baloch, Zulqarnain
Wang, Shijun
Identification of key genes, pathways, and miRNA/mRNA regulatory networks of CUMS-induced depression in nucleus accumbens by integrated bioinformatics analysis
title Identification of key genes, pathways, and miRNA/mRNA regulatory networks of CUMS-induced depression in nucleus accumbens by integrated bioinformatics analysis
title_full Identification of key genes, pathways, and miRNA/mRNA regulatory networks of CUMS-induced depression in nucleus accumbens by integrated bioinformatics analysis
title_fullStr Identification of key genes, pathways, and miRNA/mRNA regulatory networks of CUMS-induced depression in nucleus accumbens by integrated bioinformatics analysis
title_full_unstemmed Identification of key genes, pathways, and miRNA/mRNA regulatory networks of CUMS-induced depression in nucleus accumbens by integrated bioinformatics analysis
title_short Identification of key genes, pathways, and miRNA/mRNA regulatory networks of CUMS-induced depression in nucleus accumbens by integrated bioinformatics analysis
title_sort identification of key genes, pathways, and mirna/mrna regulatory networks of cums-induced depression in nucleus accumbens by integrated bioinformatics analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6421879/
https://www.ncbi.nlm.nih.gov/pubmed/30936699
http://dx.doi.org/10.2147/NDT.S200264
work_keys_str_mv AT make identificationofkeygenespathwaysandmirnamrnaregulatorynetworksofcumsinduceddepressioninnucleusaccumbensbyintegratedbioinformaticsanalysis
AT zhanghongxiu identificationofkeygenespathwaysandmirnamrnaregulatorynetworksofcumsinduceddepressioninnucleusaccumbensbyintegratedbioinformaticsanalysis
AT weiguohui identificationofkeygenespathwaysandmirnamrnaregulatorynetworksofcumsinduceddepressioninnucleusaccumbensbyintegratedbioinformaticsanalysis
AT dongzhenfei identificationofkeygenespathwaysandmirnamrnaregulatorynetworksofcumsinduceddepressioninnucleusaccumbensbyintegratedbioinformaticsanalysis
AT zhaohaijun identificationofkeygenespathwaysandmirnamrnaregulatorynetworksofcumsinduceddepressioninnucleusaccumbensbyintegratedbioinformaticsanalysis
AT hanxiaochun identificationofkeygenespathwaysandmirnamrnaregulatorynetworksofcumsinduceddepressioninnucleusaccumbensbyintegratedbioinformaticsanalysis
AT songxiaobin identificationofkeygenespathwaysandmirnamrnaregulatorynetworksofcumsinduceddepressioninnucleusaccumbensbyintegratedbioinformaticsanalysis
AT zhanghuiling identificationofkeygenespathwaysandmirnamrnaregulatorynetworksofcumsinduceddepressioninnucleusaccumbensbyintegratedbioinformaticsanalysis
AT zongxin identificationofkeygenespathwaysandmirnamrnaregulatorynetworksofcumsinduceddepressioninnucleusaccumbensbyintegratedbioinformaticsanalysis
AT balochzulqarnain identificationofkeygenespathwaysandmirnamrnaregulatorynetworksofcumsinduceddepressioninnucleusaccumbensbyintegratedbioinformaticsanalysis
AT wangshijun identificationofkeygenespathwaysandmirnamrnaregulatorynetworksofcumsinduceddepressioninnucleusaccumbensbyintegratedbioinformaticsanalysis