Evidence mapPaperPMID 32144367Full record

ArticleScientific reports2020

A high-throughput screening platform for Polycystic Kidney Disease (PKD) drug repurposing utilizing murine and human ADPKD cells.

Rosita R Asawa, Carina Danchik, Alexey Zakharov, Yuchi Chen, Ty Voss, Ajit Jadhav, Darren P Wallace, Josephine F Trott, Robert H Weiss, Anton Simeonov and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  7. Reprogramming of Energy Metabolism in HumanInternational journal of molecular sciences · 2024
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  15. Recent Discoveries in Epigenetic Modifications of Polycystic Kidney Disease.International journal of molecular sciences · 2021
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Rosita R AsawaNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA.
Carina DanchikNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA.
Alexey ZakharovNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA.
Yuchi ChenNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA.
Ty VossNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA.
Ajit JadhavNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA.
Darren P WallaceDepartment of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA.
Josephine F TrottDivision of Nephrology, Department of Internal Medicine, University of California, Davis, CA, USA.
Robert H WeissDivision of Nephrology, Department of Internal Medicine, University of California, Davis, CA, USA.
Anton SimeonovNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA.
Natalia J MartinezNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA. natalia.martinez@nih.gov.
National Center for Advancing Translational Sciences · USNational Institutes of Health · USUniversity of California, Davis · USUniversity of Kansas Medical Center · US

Funding

Research Services Core (RSC)ZICTR000242 · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · 2025 to 2025
$8.0M
NIDDK NIH HHS P30 DK106912NIDDK NIH HHS R01 DK107416
6 · The paper itself

Abstract

Autosomal dominant polycystic kidney disease (ADPKD) is one of the most common inherited monogenic disorders, characterized by a progressive decline in kidney function due in part to the formation of fluid-filled cysts. While there is one FDA-approved therapy, it is associated with potential adverse effects, and all other clinical interventions are largely supportive. Insights into the cellular pathways underlying ADPKD have revealed striking similarities to cancer. Moreover, several drugs originally developed for cancer have shown to ameliorate cyst formation and disease progression in animal models of ADPKD. These observations prompted us to develop a high-throughput screening platform of cancer drugs in a quest to repurpose them for ADPKD. We screened ~8,000 compounds, including compounds with oncological annotations, as well as FDA-approved drugs, and identified 155 that reduced the viability of Pkd1-null mouse kidney cells with minimal effects on wild-type cells. We found that 109 of these compounds also reduced in vitro cyst growth of Pkd1-null cells cultured in a 3D matrix. Moreover, the result of the cyst assay identified therapeutically relevant compounds, including agents that interfere with tubulin dynamics and reduced cyst growth without affecting cell viability. Because it is known that several ADPKD therapies with promising outcomes in animal models failed to be translated to human disease, our platform also incorporated the evaluation of compounds in a panel of primary ADPKD and normal human kidney (NHK) epithelial cells. Although we observed differences in compound response amongst ADPKD and NHK cell preparation, we identified 18 compounds that preferentially affected the viability of most ADPKD cells with minimal effects on NHK cells. Our study identifies attractive candidates for future efficacy studies in advanced pre-clinical models of ADPKD.

Indexed as

AcrylamidesAminopyridinesAnimalsCell LineCell SurvivalDrug RepositioningEpithelial CellsHumansKidneyMicePolycystic Kidney, Autosomal DominantProtein Kinase CSignal TransductionAcrylamidesAminopyridinesKPT-9274Protein Kinase Cprotein kinase D

Identifiers

PMID32144367
PMCPMC7060218
OpenAlexW3010001897

What Socratic 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 Socratic graph.