ArticleWorld journal of nephrology2024
Reference gene panel for urinary exosome-based molecular diagnostics in patients with kidney disease.
Article in World journal of nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of urinary extracellular vesicle-derived non-coding RNAs in diabetic nephropathy: expression profiles, clinical correlations, and diagnostic performance.Molecular biology reports · 2026Pooled it
- [Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026Article
- Urinary Exosomal miRNAs as Non-Invasive Biomarkers Linked to Podocyte Morphometry in CKD.Cells · 2026Article
- From pathogenic carriers to therapeutic hope: the dual role and translational prospects of exosomes in diabetic kidney disease.Frontiers in endocrinology · 2026Review
- Mitochondrial insights: key biomarkers and potential treatments for diabetic nephropathy and sarcopenia.Frontiers in cell and developmental biology · 2025Article
- A novel biomarker Ins60/ApoA for predicting diabetic kidney disease in newly diagnosed type 2 diabetes: a pilot study.Frontiers in medicine · 2025Article
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Authors and funding
3 authors.
Funding
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Abstract
backgroundKidney disease is a severe complication of diabetes that often leads to end-stage renal disease. Early diagnosis is crucial for prevention or delay. However, the current diagnostic methods, with their limitations in detecting the disease in its early stages, underscore the urgency and importance of finding new solutions. miRNAs encapsulated inside urinary exosomes (UEs) have potential as early biomarkers for kidney diseases. The need for reference miRNAs for accurate interpretation currently limits their translational potential.
aimTo identify consistently expressing reference miRNAs from UEs of controls and patients with type 2 diabetesmellitus (T2DM) and biopsy-confirmed kidney diseases.
methodsmiRNA profiling was performed on UEs from 31 human urine samples using a rigorous and unbiased method. The UEs were isolated from urine samples collected from healthy individuals (
resultsMicroarray data analysis identified 14 miRNAs that were consistently expressed in UEs from 31 human samples, representing various kidney conditions: diabetic controls, diabetic nephropathy, membrane nephropathy, IgA nephropathy, and healthy controls. Through
conclusionWe identified uniformly expressing UE miRNAs that could serve as reference genes kidney disease biomarkers.
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