Evidence map›Paper›PMID 31879244›Full record

ArticleEBioMedicine2020

Prioritization of novel ADPKD drug candidates from disease-stage specific gene expression profiles.

Tareq B Malas, Wouter N Leonhard, Hester Bange, Zoraide Granchi, Kristina M Hettne, Gerard J P Van Westen, Leo S Price, Peter A C 't Hoen, Dorien J M Peters

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 39 citations in OpenAlex.

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  6. Reprogramming of Energy Metabolism in HumanInternational journal of molecular sciences · 2024
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  11. Review
  12. Endocannabinoid System in Polycystic Kidney Disease.American journal of nephrology · 2022
    Article
  13. Article
  14. Article
  15. Review
  16. Review
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  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Tareq B MalasDepartment of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.
Wouter N LeonhardDepartment of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.
Hester BangeOcellO B.V., Leiden, the Netherlands.
Zoraide GranchiGenomeScan B.V., Plesmanlaan 1/D, 2333 BZ Leiden, the Netherlands.
Kristina M HettneDepartment of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.
Gerard J P Van WestenDrug Discovery and Safety, Leiden Academic Center for Drug Research, Einsteinweg 55, 2333 CC, Leiden, the Netherlands.
Leo S PriceOcellO B.V., Leiden, the Netherlands.
Peter A C 't HoenDepartment of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands; Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands.
Dorien J M PetersDepartment of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands. Electronic address: d.j.m.peters@lumc.nl.
Leiden University Medical Center · NLCentre for Human Drug Research · NLGenomeScan (Netherlands) · NLRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutosomal Dominant Polycystic Kidney Disease (ADPKD) is one of the most common causes of end-stage renal failure, caused by mutations in PKD1 or PKD2 genes. Tolvaptan, the only drug approved for ADPKD treatment, results in serious side-effects, warranting the need for novel drugs.

methodsIn this study, we applied RNA-sequencing of Pkd1cko mice at different disease stages, and with/without drug treatment to identify genes involved in ADPKD progression that were further used to identify novel drug candidates for ADPKD. We followed an integrative computational approach using a combination of gene expression profiling, bioinformatics and cheminformatics data.

findingsWe identified 1162 genes that had a normalized expression after treating the mice with drugs proven effective in preclinical models. Intersecting these genes with target affinity profiles for clinically-approved drugs in ChEMBL, resulted in the identification of 116 drugs targeting 29 proteins, of which several are previously linked to Polycystic Kidney Disease such as Rosiglitazone. Further testing the efficacy of six candidate drugs for inhibition of cyst swelling using a human 3D-cyst assay, revealed that three of the six had cyst-growth reducing effects with limited toxicity.

interpretationOur data further establishes drug repurposing as a robust drug discovery method, with three promising drug candidates identified for ADPKD treatment (Meclofenamic Acid, Gamolenic Acid and Birinapant). Our strategy that combines multiple-omics data, can be extended for ADPKD and other diseases in the future.

fundingEuropean Union's Seventh Framework Program, Dutch Technology Foundation Stichting Technische Wetenschappen and the Dutch Kidney Foundation.

Indexed as

Gene Expression ProfilingAnimalsDisease ProgressionGene Expression RegulationKidneyMicePolycystic Kidney, Autosomal DominantReproducibility of ResultsSeverity of Illness IndexSignal Transduction3D cyst assayAutosomal dominant polycystic kidney diseaseCheminformaticsDrug repurposingRNA-Sequencing

Identifiers

PMID31879244
PMCPMC7000333
OpenAlexW2998273511

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.