Screening and Analysis of Key Genes in miRNA-mRNA Regulatory Network of Membranous Nephropathy

Background. MicroRNAs (miRNAs) are confirmed to participate in occurrence, development, and prevention of membranous nephropathy (MN), but their mechanism of action is unclear. Objective. With the GEO database and the use of bioinformatics, miRNA-mRNA regulatory network genes relevant to MN were exp...

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Autores principales:	Yawei Hou, Yameng Li, Yichuan Wang, Wenpu Li, Zhenwei Xiao
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine (General) R5-920 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/670e8b1ab1b246118f2be03541f31a57
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spelling	oai:doaj.org-article:670e8b1ab1b246118f2be03541f31a572021-11-29T00:55:52ZScreening and Analysis of Key Genes in miRNA-mRNA Regulatory Network of Membranous Nephropathy2040-230910.1155/2021/5331948https://doaj.org/article/670e8b1ab1b246118f2be03541f31a572021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5331948https://doaj.org/toc/2040-2309Background. MicroRNAs (miRNAs) are confirmed to participate in occurrence, development, and prevention of membranous nephropathy (MN), but their mechanism of action is unclear. Objective. With the GEO database and the use of bioinformatics, miRNA-mRNA regulatory network genes relevant to MN were explored and their potential mechanism of action was explained. Methods. The MN-related miRNA chip data set (GSE51674) and mRNA chip data set (GSE108109) were downloaded from the GEO database. Differential analysis was performed using the GEO2R online tool. TargetScan, miRTarBase, and StarBase databases were used to predict potential downstream target genes regulated by differentially expressed miRNAs, and the intersection with differential genes were taken to obtain candidate target genes. According to the regulatory relationship between miRNA and mRNA, the miRNA-mRNA relationship pair was clarified and Cytoscape was used to construct a miRNA-mRNA regulatory network. WebGestalt was used to conduct enrichment analysis of the biological process of differential mRNAs in the regulatory network; FunRich analyzes the differential mRNA pathways in the miRNA-mRNA regulatory network. And the STRING database was used to construct a PPI network for candidate target genes, and Cytoscape visually analyzes the PPI network. Results. Experiments were conducted to screen differentially expressed miRNAs and mRNAs. There were 30 differentially expressed miRNAs, including 22 upregulated and 8 downregulated; and 1267 differentially expressed mRNAs, including 536 upregulated and 731 downregulated. Using TargetScan, miRTarBase, and StarBase databases to predict the downstream targets of differentially expressed miRNAs, 2957 downstream target genes coexisting in the 3 databases were predicted to intersect with differentially expressed mRNAs to obtain 175 candidate target genes. Finally, 36 miRNA-mRNA relationship pairs comprising 10 differentially expressed miRNAs and 27 differentially expressed mRNAs were screened out, and the regulatory network was constructed. Further analysis revealed that the miRNA regulatory network genes may be involved in the development of membranous nephropathy by mTOR, PDGFR-β, LKB1, and VEGF/VEGFR signaling pathways. Conclusion. The miRNA regulatory network genes may participate in the regulation of podocyte autophagy, lipid metabolism, and renal fibrosis through mTOR, PDGFR-β, LKB1, and VEGF/VEGFR signaling pathways, thereby affecting the occurrence and development of membranous nephropathy.Yawei HouYameng LiYichuan WangWenpu LiZhenwei XiaoHindawi LimitedarticleMedicine (General)R5-920Medical technologyR855-855.5ENJournal of Healthcare Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920 Medical technology R855-855.5
spellingShingle	Medicine (General) R5-920 Medical technology R855-855.5 Yawei Hou Yameng Li Yichuan Wang Wenpu Li Zhenwei Xiao Screening and Analysis of Key Genes in miRNA-mRNA Regulatory Network of Membranous Nephropathy
description	Background. MicroRNAs (miRNAs) are confirmed to participate in occurrence, development, and prevention of membranous nephropathy (MN), but their mechanism of action is unclear. Objective. With the GEO database and the use of bioinformatics, miRNA-mRNA regulatory network genes relevant to MN were explored and their potential mechanism of action was explained. Methods. The MN-related miRNA chip data set (GSE51674) and mRNA chip data set (GSE108109) were downloaded from the GEO database. Differential analysis was performed using the GEO2R online tool. TargetScan, miRTarBase, and StarBase databases were used to predict potential downstream target genes regulated by differentially expressed miRNAs, and the intersection with differential genes were taken to obtain candidate target genes. According to the regulatory relationship between miRNA and mRNA, the miRNA-mRNA relationship pair was clarified and Cytoscape was used to construct a miRNA-mRNA regulatory network. WebGestalt was used to conduct enrichment analysis of the biological process of differential mRNAs in the regulatory network; FunRich analyzes the differential mRNA pathways in the miRNA-mRNA regulatory network. And the STRING database was used to construct a PPI network for candidate target genes, and Cytoscape visually analyzes the PPI network. Results. Experiments were conducted to screen differentially expressed miRNAs and mRNAs. There were 30 differentially expressed miRNAs, including 22 upregulated and 8 downregulated; and 1267 differentially expressed mRNAs, including 536 upregulated and 731 downregulated. Using TargetScan, miRTarBase, and StarBase databases to predict the downstream targets of differentially expressed miRNAs, 2957 downstream target genes coexisting in the 3 databases were predicted to intersect with differentially expressed mRNAs to obtain 175 candidate target genes. Finally, 36 miRNA-mRNA relationship pairs comprising 10 differentially expressed miRNAs and 27 differentially expressed mRNAs were screened out, and the regulatory network was constructed. Further analysis revealed that the miRNA regulatory network genes may be involved in the development of membranous nephropathy by mTOR, PDGFR-β, LKB1, and VEGF/VEGFR signaling pathways. Conclusion. The miRNA regulatory network genes may participate in the regulation of podocyte autophagy, lipid metabolism, and renal fibrosis through mTOR, PDGFR-β, LKB1, and VEGF/VEGFR signaling pathways, thereby affecting the occurrence and development of membranous nephropathy.
format	article
author	Yawei Hou Yameng Li Yichuan Wang Wenpu Li Zhenwei Xiao
author_facet	Yawei Hou Yameng Li Yichuan Wang Wenpu Li Zhenwei Xiao
author_sort	Yawei Hou
title	Screening and Analysis of Key Genes in miRNA-mRNA Regulatory Network of Membranous Nephropathy
title_short	Screening and Analysis of Key Genes in miRNA-mRNA Regulatory Network of Membranous Nephropathy
title_full	Screening and Analysis of Key Genes in miRNA-mRNA Regulatory Network of Membranous Nephropathy
title_fullStr	Screening and Analysis of Key Genes in miRNA-mRNA Regulatory Network of Membranous Nephropathy
title_full_unstemmed	Screening and Analysis of Key Genes in miRNA-mRNA Regulatory Network of Membranous Nephropathy
title_sort	screening and analysis of key genes in mirna-mrna regulatory network of membranous nephropathy
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/670e8b1ab1b246118f2be03541f31a57
work_keys_str_mv	AT yaweihou screeningandanalysisofkeygenesinmirnamrnaregulatorynetworkofmembranousnephropathy AT yamengli screeningandanalysisofkeygenesinmirnamrnaregulatorynetworkofmembranousnephropathy AT yichuanwang screeningandanalysisofkeygenesinmirnamrnaregulatorynetworkofmembranousnephropathy AT wenpuli screeningandanalysisofkeygenesinmirnamrnaregulatorynetworkofmembranousnephropathy AT zhenweixiao screeningandanalysisofkeygenesinmirnamrnaregulatorynetworkofmembranousnephropathy
_version_	1718407772858482688

Screening and Analysis of Key Genes in miRNA-mRNA Regulatory Network of Membranous Nephropathy

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