Evidence map›Paper›PMID 31773180›Full record

ArticleJournal of molecular medicine (Berlin, Germany)2019

Characterisation of transcription factor profiles in polycystic kidney disease (PKD): identification and validation of STAT3 and RUNX1 in the injury/repair response and PKD progression.

Chiara Formica, Tareq Malas, Judit Balog, Lotte Verburg, Peter A C 't Hoen, Dorien J M Peters

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular medicine (Berlin, Germany), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Targeting Runx1 Slows Cyst Growth in Autosomal Dominant Polycystic Kidney Disease.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  2. Transcriptional regulatory factors of the Aqp2 gene.Kidney research and clinical practice · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Chiara FormicaDepartment of Human Genetics, Leiden University Medical Center, Einthovenweg 20, 2333, ZC, Leiden, The Netherlands.
Tareq MalasDepartment of Human Genetics, Leiden University Medical Center, Einthovenweg 20, 2333, ZC, Leiden, The Netherlands.
Judit BalogDepartment of Human Genetics, Leiden University Medical Center, Einthovenweg 20, 2333, ZC, Leiden, The Netherlands.
Lotte VerburgDepartment of Pathology, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, The Netherlands.
Peter A C 't HoenDepartment of Human Genetics, Leiden University Medical Center, Einthovenweg 20, 2333, ZC, Leiden, The Netherlands.
Dorien J M PetersDepartment of Human Genetics, Leiden University Medical Center, Einthovenweg 20, 2333, ZC, Leiden, The Netherlands. d.j.m.peters@lumc.nl.
Leiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic renal disease, caused in the majority of the cases by a mutation in either the PKD1 or the PKD2 gene. ADPKD is characterised by a progressive increase in the number and size of cysts, together with fibrosis and distortion of the renal architecture, over the years. This is accompanied by alterations in a complex network of signalling pathways. However, the underlying molecular mechanisms are not well characterised. Previously, we defined the PKD Signature, a set of genes typically dysregulated in PKD across different disease models from a meta-analysis of expression profiles. Given the importance of transcription factors (TFs) in modulating disease, we focused in this paper on characterising TFs from the PKD Signature. Our results revealed that out of the 1515 genes in the PKD Signature, 92 were TFs with altered expression in PKD, and 32 of those were also implicated in tissue injury/repair mechanisms. Validating the dysregulation of these TFs by qPCR in independent PKD and injury models largely confirmed these findings. STAT3 and RUNX1 displayed the strongest activation in cystic kidneys, as demonstrated by chromatin immunoprecipitation (ChIP) followed by qPCR. Using immunohistochemistry, we showed a dramatic increase of expression after renal injury in mice and cystic renal tissue of mice and humans. Our results suggest a role for STAT3 and RUNX1 and their downstream targets in the aetiology of ADPKD and indicate that the meta-analysis approach is a viable strategy for new target discovery in PKD. KEY MESSAGES: We identified a list of transcription factors (TFs) commonly dysregulated in ADPKD. Out of the 92 TFs identified in the PKD Signature, 35% are also involved in injury/repair processes. STAT3 and RUNX1 are the most significantly dysregulated TFs after injury and during PKD progression. STAT3 and RUNX1 activity is increased in cystic compared to non-cystic mouse kidneys. Increased expression of STAT3 and RUNX1 is observed in the nuclei of renal epithelial cells, also in human ADPKD samples.

Indexed as

AnimalsChromatin ImmunoprecipitationCore Binding Factor Alpha 2 SubunitCysteineDisease Models, AnimalDisease ProgressionEpithelial CellsGene Expression RegulationHumansKidneyMaleMiceMice, TransgenicPolycystic Kidney, Autosomal DominantPromoter Regions, GeneticProtein BindingCore Binding Factor Alpha 2 SubunitCysteineRUNX1 protein, humanRunx1 protein, mouseS-(1,2-dichlorovinyl)cysteineSTAT3 protein, humanStat3 protein, mouseSTAT3 Transcription FactorTranscription FactorsTRPP Cation ChannelsAutosomal dominant polycystic kidney diseaseChromatin immunoprecipitationGene expressionkidney injuryTranscription factors

Identifiers

PMID31773180
PMCPMC6920240
OpenAlexW2991413055

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.