ArticleJournal of cellular and molecular medicine2019
Identification of cell and disease specific microRNAs in glomerular pathologies.
Article in Journal of cellular and molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Urinary miRNA Biomarkers of Drug-Induced Kidney Injury and Their Site Specificity Within the Nephron.Toxicological sciences : an official journal of the Society of Toxicology · 2021Pooled it
- MiRNA and associated inflammatory changes from baseline to hypoglycemia in type 2 diabetes.Frontiers in endocrinology · 2022Trial
- Dysregulated Protease Homeostasis Defines Primary FSGS.Kidney360 · 2026Article
- Observational
- Urinary Long Non-Coding RNA Levels as Biomarkers of Lupus Nephritis.International journal of molecular sciences · 2023Article
- An in vitro approach to understand contribution of kidney cells to human urinary extracellular vesicles.Journal of extracellular vesicles · 2023Article
- Glomerular Endothelial Cell-Derived miR-200c Impairs Glomerular Homeostasis by Targeting Podocyte VEGF-A.International journal of molecular sciences · 2022Article
- Zebrafish: A Model to Study and Understand the Diabetic Nephropathy and Other Microvascular Complications of Type 2 Diabetes Mellitus.Veterinary sciences · 2022Review
- A Tight Control of Non-Canonical TGF-β Pathways and MicroRNAs Downregulates Nephronectin in Podocytes.Cells · 2022Article
- The Zebrafish Model to Understand Epigenetics in Renal Diseases.International journal of molecular sciences · 2021Review
- Evidence for miR-548c-5p regulation of FOXC2 transcription through a distal genomic target site in human podocytes.Cellular and molecular life sciences : CMLS · 2020Article
- Identification of cell and disease specific microRNAs in glomerular pathologies.Journal of cellular and molecular medicine · 2019Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRs) are small non-coding RNAs that regulate gene expression in physiological processes as well as in diseases. Currently miRs are already used to find novel mechanisms involved in diseases and in the future, they might serve as diagnostic markers. To identify miRs that play a role in glomerular diseases urinary miR-screenings are a frequently used tool. However, miRs that are detected in the urine might simply be filtered from the blood stream and could have been produced anywhere in the body, so they might be completely unrelated to the diseases. We performed a combined miR-screening in pooled urine samples from patients with different glomerular diseases as well as in cultured human podocytes, human mesangial cells, human glomerular endothelial cells and human tubular cells. The miR-screening in renal cells was done in untreated conditions and after stimulation with TGF-β. A merge of the detected regulated miRs led us to identify disease-specific, cell type-specific and cell stress-induced miRs. Most miRs were down-regulated following the stimulation with TGF-β in all cell types. Up-regulation of miRs after TGF-β was cell type-specific for most miRs. Furthermore, urinary miRs from patients with different glomerular diseases could be assigned to the different renal cell types. Most miRs were specifically regulated in one disease. Only miR-155 was up-regulated in all disease urines compared to control and therefore seems to be rather unspecific. In conclusion, a combined urinary and cell miR-screening can improve the interpretation of screening results. These data are useful to identify novel miRs potentially involved in glomerular diseases.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.