ArticleBioMed research international2019
Screening and Bioinformatics Analysis of IgA Nephropathy Gene Based on GEO Databases.
Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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22 citing papers in PubMed, 26 citations in OpenAlex.
- Diagnostic potential of B-cell translocation gene 2 in IgA nephropathy: Insights from molecular mechanisms.Journal of cell communication and signaling · 2026Article
- Spatial transcriptomic profiling reveals molecular signatures of endocapillary hypercellularity in IgA nephropathy.BMC nephrology · 2026Article
- NR1H4 downregulation facilitates abnormal cell proliferation contributing to IgA nephropathy pathogenesis, with potential clinical implications.Human cell · 2026Article
- Emerging Urinary Biomarkers and Innovative Technologies for the Early Detection and Personalized Management of Chronic Kidney Disease.International journal of molecular sciences · 2026Review
- Integrative bioinformatics and experimental analysis reveals FRA1 as a key mediator of tubulointerstitial inflammation in lupus nephritis.Molecular medicine reports · 2026Article
- Integrative Bioinformatics-Guided Analysis of Glomerular Transcriptome Implicates Potential Therapeutic Targets and Pathogenesis Mechanisms in IgA Nephropathy.Bioengineering (Basel, Switzerland) · 2025Article
- Integrative bioinformatics analysis unveils hub transcription factors and their interacting drugs in immunoglobulin A nephropathy: Implications for pathogenesis and treatments.Journal, genetic engineering & biotechnology · 2025Article
- Integrated multi-omics with machine learning to uncover the intricacies of kidney disease.Briefings in bioinformatics · 2024Review
- Molecular Differences in Glomerular Compartment to Distinguish Immunoglobulin A Nephropathy and Lupus Nephritis.Journal of inflammation research · 2024Article
- Ferroptosis-Related Genes in IgA Nephropathy: Screening for Potential Targets of the Mechanism.International journal of genomics · 2024Article
- Clinical significance of urinary exosomal microRNAs in patients with IgA nephropathy.Scientific reports · 2023Article
- Identification of key candidate genes for IgA nephropathy using machine learning and statistics based bioinformatics models.Scientific reports · 2022Article
- Identification and validation of glomerulotubular crosstalk genes mediating IgA nephropathy by integrated bioinformatics.BMC nephrology · 2022Article
- Transmembrane signaling molecules play a key role in the pathogenesis of IgA nephropathy: a weighted gene co-expression network analysis study.BMC immunology · 2021Article
- Construction of miRNA-mRNA network for the identification of key biological markers and their associated pathways in IgA nephropathy by employing the integrated bioinformatics analysis.Saudi journal of biological sciences · 2021Article
- A single-cell survey of the human glomerulonephritis.Journal of cellular and molecular medicine · 2021Article
- Comprehensive analysis of IgA nephropathy expression profiles: identification of potential biomarkers and therapeutic agents.BMC nephrology · 2021Article
- Testicular STAC3 regulates Leydig cell steroidogenesis through potentiating mitochondrial membrane potential and StAR processing.Cell and tissue research · 2021Article
- A Partial Picture of the Single-Cell Transcriptomics of Human IgA Nephropathy.Frontiers in immunology · 2021Article
- Identifying the Key Genes in Mouse Liver Regeneration After Partial Hepatectomy by Bioinformatics Analysis andFrontiers in genetics · 2021Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo identify novel biomarkers of IgA nephropathy (IgAN) through bioinformatics analysis and elucidate the possible molecular mechanism.
methodsThe GSE93798 and GSE73953 datasets containing microarray data from IgAN patients and healthy controls were downloaded from the GEO database and analyzed by the GEO2R web tool to obtain different expressed genes (DEGs). Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, protein-protein interaction (PPI), and Biological Networks Gene Oncology tool (BiNGO) were then performed to elucidate the molecular mechanism of IgAN.
resultsA total of 223 DEGs were identified, of which 21 were hub genes, and involved in inflammatory response, cellular response to lipopolysaccharide, transcription factor activity, extracellular exosome, TNF signaling pathway, and MAPK signaling pathway.
conclusionsTNF and MAPK pathways likely form the basis of IgAN progression, and JUN/JUNB, FOS, NR4A1/2, EGR1, and FOSL1/2 are novel prognostic biomarkers of IgAN.
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