Literature DB >> 28148532

Meta-analysis of polycystic kidney disease expression profiles defines strong involvement of injury repair processes.

Tareq B Malas1, Chiara Formica1, Wouter N Leonhard1, Pooja Rao2, Zoraide Granchi2, Marco Roos1, Dorien J M Peters1, Peter A C 't Hoen3.   

Abstract

Polycystic kidney disease (PKD) is a major cause of end-stage renal disease. The disease mechanisms are not well understood and the pathogenesis toward renal failure remains elusive. In this study, we present the first RNASeq analysis of a Pkd1-mutant mouse model in a combined meta-analysis with other published PKD expression profiles. We introduce the PKD Signature, a set of 1,515 genes that are commonly dysregulated in PKD studies. We show that the signature genes include many known and novel PKD-related genes and functions. Moreover, genes with a role in injury repair, as evidenced by expression data and/or automated literature analysis, were significantly enriched in the PKD Signature, with 35% of the PKD Signature genes being directly implicated in injury repair. NF-κB signaling, epithelial-mesenchymal transition, inflammatory response, hypoxia, and metabolism were among the most prominent injury or repair-related biological processes with a role in the PKD etiology. Novel PKD genes with a role in PKD and in injury were confirmed in another Pkd1-mutant mouse model as well as in animals treated with a nephrotoxic agent. We propose that compounds that can modulate the injury-repair response could be valuable drug candidates for PKD treatment.
Copyright © 2017 the American Physiological Society.

Entities:  

Keywords:  Meta-analysis; RNASeq; expression signature; injury repair; literature mining; polycystic kidney disease

Mesh:

Substances:

Year:  2017        PMID: 28148532     DOI: 10.1152/ajprenal.00653.2016

Source DB:  PubMed          Journal:  Am J Physiol Renal Physiol        ISSN: 1522-1466


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