ArticleMolecular medicine reports2017
Identification of potential biomarkers and therapeutic targets for human IgA nephropathy and hypertensive nephropathy by bioinformatics analysis.
Article in Molecular medicine reports, 2017. 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, 16 citations in OpenAlex.
- 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
- Genome-wide analysis of long noncoding RNAs as cis-acting regulators of transcription factor-encoding genes in IgA nephropathy.PloS one · 2024Article
- Comprehensive analysis of IgA nephropathy expression profiles: identification of potential biomarkers and therapeutic agents.BMC nephrology · 2021Article
- The Clinical Significance and Potential Role of Cathepsin S in IgA Nephropathy.Frontiers in pediatrics · 2021Article
- Comprehensive Bioinformatics Analysis IdentifiesFrontiers in genetics · 2021Article
- Toll-Like Receptor as a Potential Biomarker in Renal Diseases.International journal of molecular sciences · 2020Review
- Octreotide Delaying the Progression of Recurrent IgA Nephropathy After Kidney Transplantation.Transplantation direct · 2020Article
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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
In order to further elucidate the potential correlations and treatments of IgA nephropathy (IgAN) and hypertensive nephropathy (HT), bioinformatics analysis of IgAN and HT was performed. The mRNA expression profiles of human renal biopsy samples from patients with IgAN, patients with HT and pre‑transplant healthy living controls (LD) were downloaded from the Gene Expression Omnibus database. Then, the differentially expressed genes (DEGs) were identified and functions of DEGs were analyzed. Finally, the regulatory networks containing DEGs and related‑transcription factors (TFs) were constructed using Cytoscape software. When compared with the LD group, 134 and 188 DEGs were obtained in the IgAN and HT groups, respectively. A total of 39 genes were altered in the HT group when compared with the IgAN group. In addition, 66 genes were shared in the IgAN and HT groups when compared with the LD group, 6 of which [early growth response 1, activating transcription factor 3, nuclear receptor subfamily 4 group A member 2 (NR4A2), NR4A1, v‑maf avian musculoaponeurotic fibrosarcoma oncogene homolog F and Kruppel like factor 6] were identified as TFs. In addition, DEGs including interleukin (IL) 1 receptor antagonist, collagen type 4 α2 chain, IL8, FBJ murine osteosarcoma viral oncogene homolog and somatostatin were enriched in a number of inflammation‑associated biological processes, and DEGs including structural maintenance of chromosomes protein 3, v‑crk avian sarcoma virus CT10 oncogene homolog and myosin 6 were enriched in non‑inflammation‑associated biological processes. Therefore, the differentially expressed TF genes and the genes associated with inflammation may be effective as potential therapeutic targets for IgAN and HT.
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