ArticleBMC nephrology2016
Identification of potential candidate genes for hypertensive nephropathy based on gene expression profile.
Article in BMC nephrology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Association between AGTR1 A1166C polymorphism and the susceptibility to diabetic nephropathy: Evidence from a meta-analysis.Medicine · 2018Pooled it
- Integrating bioinformatics and metabolomics to identify potential biomarkers of hypertensive nephropathy.Scientific reports · 2025Article
- Predictive Effect of System Inflammation Response Index for Progression of Chronic Kidney Disease in Non-Dialyzing Patient.Journal of inflammation research · 2023Article
- Development and Validation of Prediction Models for Hypertensive Nephropathy, the PANDORA Study.Frontiers in cardiovascular medicine · 2022Article
- Exosomal MicroRNAs as Potential Biomarkers of Hepatic Injury and Kidney Disease in Glycogen Storage Disease Type Ia Patients.International journal of molecular sciences · 2021Article
- Metapath-Based Deep Convolutional Neural Network for Predicting miRNA-Target Association on Heterogeneous Network.Interdisciplinary sciences, computational life sciences · 2021Article
- Identification of biomarkers and pathways in hypertensive nephropathy based on the ceRNA regulatory network.BMC nephrology · 2020Article
- Urinary Sediment Transcriptomic and Longitudinal Data to Investigate Renal Function Decline in Type 1 Diabetes.Frontiers in endocrinology · 2020Article
- Comprehensive analysis of key genes and microRNAs in radioresistant nasopharyngeal carcinoma.BMC medical genomics · 2019Article
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Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study was aimed to explore the molecular mechanisms of hypertensive nephropathy (HTN).
methodsGene expression profile of GSE37460, which based on 27 healthy living donor samples (HTN group) and 15 hypertensive nephropathy samples (control group), were downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between two groups were identified. STRING database was used to reveal protein-protein interaction (PPI) network of DEGs, followed by the functional enrichment analysis of the PPI network. Additionally, miRNA-DEG regulatory network was constructed to reveal the validated miRNAs targeting the DEGs.
resultsIn total, 51 up-regulated genes and 140 down-regulated genes were obtained. In the PPI network, cytochrome P450 3A4 (CYP3A4) and angiotensin II receptor type 1 (AGTR1) had a higher degree, and CYP3A4 interacted with CYP4A11. The DEGs in the network were significantly enriched in drug metabolism, focal adhesion and arachidonic acid metabolism. Furthermore, in the miRNA-DEG regulatory network, hsa-miR-335-5p and hsa-miR-26b-5p were the two most outstanding miRNAs. AGTR1, CYP3A4 and CYP4A11 were predicted to be regulated by hsa-miR-26b-5p.
conclusionThe DEGs, such as AGTR1, CYP3A4 and CYP4A11 may play critical roles in the development of HTN likely via the regulation by hsa-miR-26b-5p and taking part in some pathways.
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