ArticleEuropean journal of medical research2023
Identification of hub genes and their correlation with immune infiltrating cells in membranous nephropathy: an integrated bioinformatics analysis.
Article in European journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Animal models of idiopathic membranous nephropathy: Recent advances and future perspectives.Animal models and experimental medicine · 2026Review
- Temporal Changes in Blood Metabolome: Understanding Biochemical Changes in Hemodialysis Patients.Kidney international reports · 2025Article
- Modulation of podocyte extracellular matrix remodeling in membranous nephropathy by the NFATc3/LRRC55/BK channel pathway.Journal of cell communication and signaling · 2025Article
- Computational Analyses Identified Three Diagnostic Biomarkers Associated With Programmed Cell Death for Lung Adenocarcinoma.Human mutation · 2025Article
- Multi-scalar data integration decoding risk genes for chronic kidney disease.BMC nephrology · 2024Article
- Role of the Innate Immune Response in Glomerular Disease Pathogenesis: Focus on Podocytes.Cells · 2024Review
- Identification and validation of biomarkers in membranous nephropathy and pan-cancer analysis.Frontiers in immunology · 2024Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundMembranous nephropathy (MN) is a chronic glomerular disease that leads to nephrotic syndrome in adults. The aim of this study was to identify novel biomarkers and immune-related mechanisms in the progression of MN through an integrated bioinformatics approach.
methodsThe microarray data were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between MN and normal samples were identified and analyzed by the Gene Ontology analysis, the Kyoto Encyclopedia of Genes and Genomes analysis and the Gene Set Enrichment Analysis (GSEA) enrichment. Hub The hub genes were screened and identified by the weighted gene co-expression network analysis (WGCNA) and the least absolute shrinkage and selection operator (LASSO) algorithm. The receiver operating characteristic (ROC) curves evaluated the diagnostic value of hub genes. The single-sample GSEA analyzed the infiltration degree of several immune cells and their correlation with the hub genes.
resultsWe identified a total of 574 DEGs. The enrichment analysis showed that metabolic and immune-related functions and pathways were significantly enriched. Four co-expression modules were obtained using WGCNA. The candidate signature genes were intersected with DEGs and then subjected to the LASSO analysis, obtaining a total of 6 hub genes. The ROC curves indicated that the hub genes were associated with a high diagnostic value. The CD4
conclusionsWe identified six hub genes (ZYX, CD151, N4BP2L2-IT2, TAPBP, FRAS1 and SCARNA9) as novel biomarkers for MN, providing potential targets for the diagnosis and treatment.
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