ArticlePeerJ2022
Identifying DUSP-1 and FOSB as hub genes in immunoglobulin A nephropathy by WGCNA and DEG screening and validation.
Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- GADD45A may be a potential biomarker associated with endoplasmic reticulum stress in focal segmental glomerulosclerosis.Biochemistry and biophysics reports · 2026Article
- Keratin 20 Suppresses Exosomal Secretion of Peroxiredoxin 2 and Ferroptosis in Acute Kidney Injury.Journal of the American Society of Nephrology : JASN · 2026Article
- STAT1 promotes ferroptosis and inflammation in mouse hepatic ischemia-reperfusion injury.Communications biology · 2025Article
- 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
- Acetylation-regulated DUSP1 deficiency contributes to renal fibrosis progression.Theranostics · 2025Article
- Identification of hub fatty acid metabolism-related genes and immune infiltration in IgA nephropathy.Renal failure · 2024Article
- Longitudinal transcriptome analysis reveals distinct gene expression patterns in traditional Chinese medicine syndromes of upper respiratory tract infections.Frontiers in genetics · 2024Article
- Identification of key candidate genes for IgA nephropathy using machine learning and statistics based bioinformatics models.Scientific reports · 2022Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The mechanism of immunoglobulin A nephropathy (IgAN) is still unknown. A bioinformatics analysis is a powerful method to identify the biomarkers and possible therapeutic targets of a certain disease from related datasets. Methods: The GSE93973 dataset, obtained from the Gene Expression Omnibus (GEO) database, was used to construct a weighted gene co-expression network (WGCNA) and filter differentially expressed genes (DEGs). The biological process (BP) enrichment among all the genes in the key modules was analyzed through a Gene Ontology (GO) enrichment analysis. We selected the overlap of hub genes in the WGCNA and Protein-Protein Interaction (PPI) network as the final hub genes in IgAN. We verified the final hub genes in two other datasets and in clinical kidney tissue specimens. A receiver operating characteristic (ROC) curve was used to evaluate the diagnostic efficacy of hub genes for IgAN. Results: The turquoise module, which contained 1,806 genes, was the module with the highest correlation coefficient with IgAN in the GSE93973 dataset. The GO enrichment analysis showed that these 1,806 genes were mainly enriched in inflammation and immune responses. There were five hub genes identified by WGCNA and 34 hub genes identified in a DEG analysis in the GSE93973 dataset. DUSP1 and FOSB were identified as the final hub genes in IgAN. The validation results of the final hub genes in two other databases and clinical kidney tissue specimens validated the result that, compared to the control group, FOSB and DUSP1 were expressed at lower levels in the glomerulus of IgAN patients. The ROC curve indicated that DUSP1 and FOSB were good diagnostic indicators for IgAN. Conclusions: Our analysis identified two hub genes that might be potential targets for the intervention and treatment of IgAN.
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