ReviewInternational journal of molecular sciences2021
Non-Coding RNAs in Hereditary Kidney Disorders.
Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Global trends and emerging research hotspots in Alport syndrome: a comprehensive bibliometric analysis (1961-2024).Translational pediatrics · 2026Article
- From Genes to Malformations: Molecular Mechanisms Driving the Pathogenesis of Congenital Anomalies of the Kidney and Urinary Tract.International journal of molecular sciences · 2025Review
- Translational regulation of PKD1 by evolutionarily conserved upstream open reading frames.RNA biology · 2025Review
- Clinical characteristics of nephrocalcinosis in a tertiary children's hospital.Frontiers in pediatrics · 2025Article
- MicroRNA and renal fibrosis in autosomal dominant polycystic kidney disease: a longitudinal study.Journal of nephrology · 2025Article
- Non-Coding RNAs in Kidney Stones.Biomolecules · 2024Review
- Review of the Use of Animal Models of Human Polycystic Kidney Disease for the Evaluation of Experimental Therapeutic Modalities.Journal of clinical medicine · 2023Review
- Long Noncoding RNAs in the Pathogenesis of Insulin Resistance.International journal of molecular sciences · 2022Review
- The Role of Non-Coding RNAs in Kidney Diseases.International journal of molecular sciences · 2022Article
- Epigenetic Mechanisms Responsible for the Transgenerational Inheritance of Intrauterine Growth Restriction Phenotypes.Frontiers in endocrinology · 2022Review
- Non-coding RNAs as potential biomarkers and therapeutic targets in polycystic kidney disease.Frontiers in physiology · 2022Review
- Epigenetically Mediated Ciliogenesis and Cell Cycle Regulation, and Their Translational Potential.Cells · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Single-gene defects have been revealed to be the etiologies of many kidney diseases with the recent advances in molecular genetics. Autosomal dominant polycystic kidney disease (ADPKD), as one of the most common inherited kidney diseases, is caused by mutations of PKD1 or PKD2 gene. Due to the complexity of pathophysiology of cyst formation and progression, limited therapeutic options are available. The roles of noncoding RNAs in development and disease have gained widespread attention in recent years. In particular, microRNAs in promoting PKD progression have been highlighted. The dysregulated microRNAs modulate cyst growth through suppressing the expression of PKD genes and regulating cystic renal epithelial cell proliferation, mitochondrial metabolism, apoptosis and autophagy. The antagonists of microRNAs have emerged as potential therapeutic drugs for the treatment of ADPKD. In addition, studies have also focused on microRNAs as potential biomarkers for ADPKD and other common hereditary kidney diseases, including HNF1β-associated kidney disease, Alport syndrome, congenital abnormalities of the kidney and urinary tract (CAKUT), von Hippel-Lindau (VHL) disease, and Fabry disease. This review assembles the current understanding of the non-coding RNAs, including microRNAs and long noncoding RNAs, in polycystic kidney disease and these common monogenic kidney diseases.
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Registered trials
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.