ArticleJournal of diabetes investigation2019
Identification of key genes and pathways in diabetic nephropathy by bioinformatics analysis.
Article in Journal of diabetes investigation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed, 69 citations in OpenAlex.
- Identification and experimental validation of mitochondrial and endoplasmic reticulum stress related gene in diabetic nephropathy.Scientific reports · 2025Article
- CTSS and CD53: Emerging m6A methylation markers in diabetic kidney disease pathogenesis and their clinical implications.BMC nephrology · 2025Article
- FOSL2 activates TGF-β1-mediated GLUT1/mTOR signaling to promote diabetic kidney disease.Journal of diabetes investigation · 2025Article
- Identification of Ferroptosis-related Genes for Diabetic Nephropathy by Bioinformatics and Experimental Validation.Current pharmaceutical design · 2025Article
- FTO mediates the diabetic kidney disease progression through regulating the mBMC nephrology · 2024Article
- Transcription factor ETS1‑mediated ECT2 expression promotes the malignant behavior of prostate cancer cells.Oncology letters · 2024Article
- Key Genes in Olfactory Disorder in Experimental Autoimmune Encephalomyelitis Identified by Transcriptomic Analysis of the Olfactory Bulbs.Molecular neurobiology · 2024Article
- Single-cell transcriptomics reveals the ameliorative effect of rosmarinic acid on diabetic nephropathy-induced kidney injury by modulating oxidative stress and inflammation.Acta pharmaceutica Sinica. B · 2024Article
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- METTL3/YTHDF2 m6A axis mediates the progression of diabetic nephropathy through epigenetically suppressing PINK1 and mitophagy.Journal of diabetes investigation · 2024Article
- Single-Cell Sequencing Reveals the Expression of Immune-Related Genes in Macrophages of Diabetic Kidney Disease.Inflammation · 2024Article
- Complement Cascade Proteins Correlate with Fibrosis and Inflammation in Early-Stage Type 1 Diabetic Kidney Disease in the Ins2Akita Mouse Model.International journal of molecular sciences · 2024Article
- Notoginsenoside R1 ameliorates the inflammation induced by amyloid‑β by suppressing SphK1‑mediated NF‑κB activation in PC12 cells.Molecular medicine reports · 2024Article
- The Genetic Cross-Talk between Periodontitis and Chronic Kidney Failure Revealed by Transcriptomic Analysis.Genes · 2023Article
- The characteristics of extrachromosomal circular DNA in patients with end-stage renal disease.European journal of medical research · 2023Article
- Landscape and Construction of a Novel N6-methyladenosine-related LncRNAs in Cervical Cancer.Reproductive sciences (Thousand Oaks, Calif.) · 2023Article
- Identification of driver genes in lupus nephritis based on comprehensive bioinformatics and machine learning.Frontiers in immunology · 2023Article
- Identification of ferroptosis-related genes as potential diagnostic biomarkers for diabetic nephropathy based on bioinformatics.Frontiers in molecular biosciences · 2023Article
- Integrated Analysis of Single-Cell RNA-Seq and Bulk RNA-Seq Combined with Multiple Machine Learning Identified a Novel Immune Signature in Diabetic Nephropathy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Article
- Integrative analyses of biomarkers and pathways for diabetic nephropathy.Frontiers in genetics · 2023Article
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
AIMS/
introductionThe aim of the present study was to identify candidate differentially expressed genes (DEGs) and pathways using bioinformatics analysis, and to improve our understanding of the cause and potential molecular events of diabetic nephropathy. MATERIALS AND
methodsTwo cohort profile datasets (GSE30528 and GSE33744) were integrated and used for deep analysis. We sorted DEGs and analyzed differential pathway enrichment. DEG-associated ingenuity pathway analysis was carried out. The screened gene expression feature was verified in the db/db mouse kidney cortex. Then, rat mesangial cells cultured with high-concentration glucose were used for verification. The target genes of transcriptional factor E26 transformation-specific-1 (ETS1) were predicted with online tools and validated using chromatin immunoprecipitation assay quantitative polymerase chain reaction.
resultsThe two GSE datasets identified 89 shared DEGs; 51 were upregulated; and 38 were downregulated. Most of the DEGs were significantly enriched in cell adhesion, the plasma membrane, the extracellular matrix and the extracellular region. Quantitative reverse transcription polymerase chain reaction analysis validated the upregulated expression of Itgb2, Cd44, Sell, Fn1, Tgfbi and Il7r, and the downregulated expression of Igfbp2 and Cd55 in the db/db mouse kidney cortex. Chromatin immunoprecipitation assay quantitative polymerase chain reaction showed that Itgb2 was the target gene of transcription factor Ets1. ETS1 knockdown in rat mesangial cells decreased integrin subunit beta 2 expression.
conclusionWe found that EST1 functioned as an important transcription factor in diabetic nephropathy development through the promotion of integrin subunit beta 2 expression. EST1 might be a drug target for diabetic nephropathy treatment.
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