Comprehensive analysis of IgA nephropathy expression profiles: identification of potential biomarkers and therapeutic agents

Abstract Background IgA nephropathy (IgAN) is a kidney disease recognized by the presence of IgA antibody depositions in kidneys. The underlying mechanisms of this complicated disease are remained to be explored and still, there is an urgent need for the discovery of noninvasive biomarkers for its d...

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Main Authors: Alieh Gholaminejad, Yousof Gheisari, Sedigheh Jalali, Amir Roointan
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Nephrology
Subjects:
Online Access:https://doi.org/10.1186/s12882-021-02356-4
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author Alieh Gholaminejad
Yousof Gheisari
Sedigheh Jalali
Amir Roointan
author_facet Alieh Gholaminejad
Yousof Gheisari
Sedigheh Jalali
Amir Roointan
author_sort Alieh Gholaminejad
collection DOAJ
description Abstract Background IgA nephropathy (IgAN) is a kidney disease recognized by the presence of IgA antibody depositions in kidneys. The underlying mechanisms of this complicated disease are remained to be explored and still, there is an urgent need for the discovery of noninvasive biomarkers for its diagnosis. In this investigation, an integrative approach was applied to mRNA and miRNA expression profiles in PBMCs to discover a gene signature and novel potential targets/biomarkers in IgAN. Methods Datasets were selected from gene expression omnibus database. After quality control checking, two datasets were analyzed by Limma to identify differentially expressed genes/miRNAs (DEGs and DEmiRs). Following identification of DEmiR-target genes and data integration, intersecting mRNAs were subjected to different bioinformatic analyses. The intersecting mRNAs, DEmiRs, related transcription factors (from TRRUST database), and long-non coding RNAs (from LncTarD database) were used for the construction of a multilayer regulatory network via Cytoscape. Result “GSE25590” (miRNA) and “GSE73953” (mRNA) datasets were analyzed and after integration, 628 intersecting mRNAs were identified. The mRNAs were mainly associated with “Innate immune system”, “Apoptosis”, as well as “NGF signaling” pathways. A multilayer regulatory network was constructed and several hub-DEGs (Tp53, STAT3, Jun, etc.), DEmiRs (miR-124, let-7b, etc.), TFs (NF-kB, etc.), and lncRNAs (HOTAIR, etc.) were introduced as potential factors in the pathogenesis of IgAN. Conclusion Integration of two different expression datasets and construction of a multilayer regulatory network not only provided a deeper insight into the pathogenesis of IgAN, but also introduced several key molecules as potential therapeutic target/non-invasive biomarkers.
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spelling doaj.art-92516c7e51c242d3aaae844f562793ab2022-12-21T19:41:22ZengBMCBMC Nephrology1471-23692021-04-0122111010.1186/s12882-021-02356-4Comprehensive analysis of IgA nephropathy expression profiles: identification of potential biomarkers and therapeutic agentsAlieh Gholaminejad0Yousof Gheisari1Sedigheh Jalali2Amir Roointan3Regenerative medicine research center, Isfahan University of Medical SciencesRegenerative medicine research center, Isfahan University of Medical SciencesDepartment of Pediatrics, The University of MelbourneRegenerative medicine research center, Isfahan University of Medical SciencesAbstract Background IgA nephropathy (IgAN) is a kidney disease recognized by the presence of IgA antibody depositions in kidneys. The underlying mechanisms of this complicated disease are remained to be explored and still, there is an urgent need for the discovery of noninvasive biomarkers for its diagnosis. In this investigation, an integrative approach was applied to mRNA and miRNA expression profiles in PBMCs to discover a gene signature and novel potential targets/biomarkers in IgAN. Methods Datasets were selected from gene expression omnibus database. After quality control checking, two datasets were analyzed by Limma to identify differentially expressed genes/miRNAs (DEGs and DEmiRs). Following identification of DEmiR-target genes and data integration, intersecting mRNAs were subjected to different bioinformatic analyses. The intersecting mRNAs, DEmiRs, related transcription factors (from TRRUST database), and long-non coding RNAs (from LncTarD database) were used for the construction of a multilayer regulatory network via Cytoscape. Result “GSE25590” (miRNA) and “GSE73953” (mRNA) datasets were analyzed and after integration, 628 intersecting mRNAs were identified. The mRNAs were mainly associated with “Innate immune system”, “Apoptosis”, as well as “NGF signaling” pathways. A multilayer regulatory network was constructed and several hub-DEGs (Tp53, STAT3, Jun, etc.), DEmiRs (miR-124, let-7b, etc.), TFs (NF-kB, etc.), and lncRNAs (HOTAIR, etc.) were introduced as potential factors in the pathogenesis of IgAN. Conclusion Integration of two different expression datasets and construction of a multilayer regulatory network not only provided a deeper insight into the pathogenesis of IgAN, but also introduced several key molecules as potential therapeutic target/non-invasive biomarkers.https://doi.org/10.1186/s12882-021-02356-4IgA nephropathyComputational biologyGene expressionGene regulatory networkBiomarkers
spellingShingle Alieh Gholaminejad
Yousof Gheisari
Sedigheh Jalali
Amir Roointan
Comprehensive analysis of IgA nephropathy expression profiles: identification of potential biomarkers and therapeutic agents
BMC Nephrology
IgA nephropathy
Computational biology
Gene expression
Gene regulatory network
Biomarkers
title Comprehensive analysis of IgA nephropathy expression profiles: identification of potential biomarkers and therapeutic agents
title_full Comprehensive analysis of IgA nephropathy expression profiles: identification of potential biomarkers and therapeutic agents
title_fullStr Comprehensive analysis of IgA nephropathy expression profiles: identification of potential biomarkers and therapeutic agents
title_full_unstemmed Comprehensive analysis of IgA nephropathy expression profiles: identification of potential biomarkers and therapeutic agents
title_short Comprehensive analysis of IgA nephropathy expression profiles: identification of potential biomarkers and therapeutic agents
title_sort comprehensive analysis of iga nephropathy expression profiles identification of potential biomarkers and therapeutic agents
topic IgA nephropathy
Computational biology
Gene expression
Gene regulatory network
Biomarkers
url https://doi.org/10.1186/s12882-021-02356-4
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AT sedighehjalali comprehensiveanalysisofiganephropathyexpressionprofilesidentificationofpotentialbiomarkersandtherapeuticagents
AT amirroointan comprehensiveanalysisofiganephropathyexpressionprofilesidentificationofpotentialbiomarkersandtherapeuticagents