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Proceedings of the National Academy of Sciences
Article . 2013 . Peer-reviewed
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miR-17∼92 miRNA cluster promotes kidney cyst growth in polycystic kidney disease

Authors: Sachin Hajarnis; Peter Igarashi; Marco Pontoglio; Stefan Somlo; Darren Williams; Vishal Patel; Ryan Hunter;

miR-17∼92 miRNA cluster promotes kidney cyst growth in polycystic kidney disease

Abstract

Polycystic kidney disease (PKD), the most common genetic cause of chronic kidney failure, is characterized by the presence of numerous, progressively enlarging fluid-filled cysts in the renal parenchyma. The cysts arise from renal tubules and are lined by abnormally functioning and hyperproliferative epithelial cells. Despite recent progress, no Food and Drug Administration-approved therapy is available to retard cyst growth. MicroRNAs (miRNAs) are short noncoding RNAs that inhibit posttranscriptional gene expression. Dysregulated miRNA expression is observed in PKD, but whether miRNAs are directly involved in kidney cyst formation and growth is not known. Here, we show that miR-17∼92, an oncogenic miRNA cluster, is up-regulated in mouse models of PKD. Kidney-specific transgenic overexpression of miR-17∼92 produces kidney cysts in mice. Conversely, kidney-specific inactivation of miR-17∼92 in a mouse model of PKD retards kidney cyst growth, improves renal function, and prolongs survival. miR-17∼92 may mediate these effects by promoting proliferation and through posttranscriptional repression of PKD genes Pkd1 , Pkd2 , and hepatocyte nuclear factor- 1 β. These studies demonstrate a pathogenic role of miRNAs in mouse models of PKD and identify miR-17∼92 as a therapeutic target in PKD. Our results also provide a unique hypothesis for disease progression in PKD involving miRNAs and regulation of PKD gene dosage.

Keywords

Mice, Knockout, TRPP Cation Channels, Base Sequence, Mice, Transgenic, Polycystic Kidney, Autosomal Dominant, Up-Regulation, Disease Models, Animal, Mice, MicroRNAs, Kidney Tubules, Disease Progression, Animals, Cell Proliferation

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    153
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
153
Top 1%
Top 10%
Top 1%
bronze