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Integrative analysis of miRNA–mRNA network in idiopathic membranous nephropathy by bioinformatics analysis

BACKGROUND: Currently, several specific antigens, M-type receptor for secretory phospholipase A2(PLA2R1), thrombospondin type-1 domain-containing 7A(THSD7A), and neural epidermal growth factor-like 1 protein (NELL-1), are discovered associated with the onset of idiopathic membranous nephropathy (IMN...

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Autores principales: He, Wenfang, Zhang, Jinshi, Yuan, Shizhu, Liang, Mingzhu, Chen, Weidong, Jin, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487241/
https://www.ncbi.nlm.nih.gov/pubmed/34703677
http://dx.doi.org/10.7717/peerj.12271
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author He, Wenfang
Zhang, Jinshi
Yuan, Shizhu
Liang, Mingzhu
Chen, Weidong
Jin, Juan
author_facet He, Wenfang
Zhang, Jinshi
Yuan, Shizhu
Liang, Mingzhu
Chen, Weidong
Jin, Juan
author_sort He, Wenfang
collection PubMed
description BACKGROUND: Currently, several specific antigens, M-type receptor for secretory phospholipase A2(PLA2R1), thrombospondin type-1 domain-containing 7A(THSD7A), and neural epidermal growth factor-like 1 protein (NELL-1), are discovered associated with the onset of idiopathic membranous nephropathy (IMN). But the pathomechanisms of IMN still need to be further claried. Understanding the mechanisms of IMN is required to improve its diagnosis and treatment. METHODS: In this study, we constructed miRNA regulatory networks to investigate IMN development. Moreover, miRNAs and mRNAs that were differentially expressed between Idiopathic Membranous Nephropathy (IMN) patients and normal controls were examined using the GSE115857 dataset and our previous sequence study. DE miRNA target genes were determined based on the FUNRICH software, starBase, miRDB, and miRWalk, and an miRNA-mRNA network was designed using DE-mRNAs that were negatively correlated with DE-miRNAs. The miRNA-mRNA network contained 228 miRNA-mRNA pairs. Thereafter, we conducted KEGG pathway, GO functional annotation, immune-related gene screening, protein interaction networks, and potential hub gene analyses. Furthermore, 10 miRNAs and 10 genes were determined and preliminarily validated using the validation dataset from GEO. Finally, we identified which pair may offer more accurate diagnosis and therapeutic targets for IMN. RESULTS: Two miRNA-mRNA pairs, miR-155-5p-FOS and miR-146a-5p-BTG2, were differentially expressed in IMN, indicating that these genes may affect IMN through immune processes. These findings may offer more accurate diagnoses and therapeutic targets for IMN.
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spelling pubmed-84872412021-10-25 Integrative analysis of miRNA–mRNA network in idiopathic membranous nephropathy by bioinformatics analysis He, Wenfang Zhang, Jinshi Yuan, Shizhu Liang, Mingzhu Chen, Weidong Jin, Juan PeerJ Bioinformatics BACKGROUND: Currently, several specific antigens, M-type receptor for secretory phospholipase A2(PLA2R1), thrombospondin type-1 domain-containing 7A(THSD7A), and neural epidermal growth factor-like 1 protein (NELL-1), are discovered associated with the onset of idiopathic membranous nephropathy (IMN). But the pathomechanisms of IMN still need to be further claried. Understanding the mechanisms of IMN is required to improve its diagnosis and treatment. METHODS: In this study, we constructed miRNA regulatory networks to investigate IMN development. Moreover, miRNAs and mRNAs that were differentially expressed between Idiopathic Membranous Nephropathy (IMN) patients and normal controls were examined using the GSE115857 dataset and our previous sequence study. DE miRNA target genes were determined based on the FUNRICH software, starBase, miRDB, and miRWalk, and an miRNA-mRNA network was designed using DE-mRNAs that were negatively correlated with DE-miRNAs. The miRNA-mRNA network contained 228 miRNA-mRNA pairs. Thereafter, we conducted KEGG pathway, GO functional annotation, immune-related gene screening, protein interaction networks, and potential hub gene analyses. Furthermore, 10 miRNAs and 10 genes were determined and preliminarily validated using the validation dataset from GEO. Finally, we identified which pair may offer more accurate diagnosis and therapeutic targets for IMN. RESULTS: Two miRNA-mRNA pairs, miR-155-5p-FOS and miR-146a-5p-BTG2, were differentially expressed in IMN, indicating that these genes may affect IMN through immune processes. These findings may offer more accurate diagnoses and therapeutic targets for IMN. PeerJ Inc. 2021-09-29 /pmc/articles/PMC8487241/ /pubmed/34703677 http://dx.doi.org/10.7717/peerj.12271 Text en ©2021 He et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
He, Wenfang
Zhang, Jinshi
Yuan, Shizhu
Liang, Mingzhu
Chen, Weidong
Jin, Juan
Integrative analysis of miRNA–mRNA network in idiopathic membranous nephropathy by bioinformatics analysis
title Integrative analysis of miRNA–mRNA network in idiopathic membranous nephropathy by bioinformatics analysis
title_full Integrative analysis of miRNA–mRNA network in idiopathic membranous nephropathy by bioinformatics analysis
title_fullStr Integrative analysis of miRNA–mRNA network in idiopathic membranous nephropathy by bioinformatics analysis
title_full_unstemmed Integrative analysis of miRNA–mRNA network in idiopathic membranous nephropathy by bioinformatics analysis
title_short Integrative analysis of miRNA–mRNA network in idiopathic membranous nephropathy by bioinformatics analysis
title_sort integrative analysis of mirna–mrna network in idiopathic membranous nephropathy by bioinformatics analysis
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487241/
https://www.ncbi.nlm.nih.gov/pubmed/34703677
http://dx.doi.org/10.7717/peerj.12271
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