Evidence map›Paper›PMID 32040181›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2020

A Targeted Metabolomics-Based Assay Using Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes Identifies Structural and Functional Cardiotoxicity Potential.

Jessica A Palmer, Alan M Smith, Vitalina Gryshkova, Elizabeth L R Donley, Jean-Pierre Valentin, Robert E Burrier

Abstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

  1. Review
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  6. hiPSC-CM electrophysiology: impact of temporal changes and study parameters on experimental reproducibility.American journal of physiology. Heart and circulatory physiology · 2024
    Article
  7. Article
  8. Article
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  19. Article
  20. Animals : an open access journal from MDPI · 2021
    Article
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.

Jessica A PalmerStemina Biomarker Discovery, Inc, Madison, Wisconsin.
Alan M SmithStemina Biomarker Discovery, Inc, Madison, Wisconsin.
Vitalina GryshkovaUCB Biopharma SPRL, Investigative Toxicology, Development Science, B-1420 Braine L'Alleud, Belgium.
Elizabeth L R DonleyStemina Biomarker Discovery, Inc, Madison, Wisconsin.
Jean-Pierre ValentinUCB Biopharma SPRL, Investigative Toxicology, Development Science, B-1420 Braine L'Alleud, Belgium.
Robert E BurrierStemina Biomarker Discovery, Inc, Madison, Wisconsin.

Funding

Identification of Biomarkers of Cardiotoxicity using Metabolomics of Human Pluripotent Stem Cell-Derived CardiomyocytesR44GM100640 · NIGMS · STEMINA BIOMARKER DISCOVERY, INC. · PI BURRIER, ROBERT E · 2015 to 2016
$1.3M
NIGMS NIH HHS R44 GM100640
6 · The paper itself

Abstract

Implementing screening assays that identify functional and structural cardiotoxicity earlier in the drug development pipeline has the potential to improve safety and decrease the cost and time required to bring new drugs to market. In this study, a metabolic biomarker-based assay was developed that predicts the cardiotoxicity potential of a drug based on changes in the metabolism and viability of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM). Assay development and testing was conducted in 2 phases: (1) biomarker identification and (2) targeted assay development. In the first phase, metabolomic data from hiPSC-CM spent media following exposure to 66 drugs were used to identify biomarkers that identified both functional and structural cardiotoxicants. Four metabolites that represent different metabolic pathways (arachidonic acid, lactic acid, 2'-deoxycytidine, and thymidine) were identified as indicators of cardiotoxicity. In phase 2, a targeted, exposure-based biomarker assay was developed that measured these metabolites and hiPSC-CM viability across an 8-point concentration curve. Metabolite-specific predictive thresholds for identifying the cardiotoxicity potential of a drug were established and optimized for balanced accuracy or sensitivity. When predictive thresholds were optimized for balanced accuracy, the assay predicted the cardiotoxicity potential of 81 drugs with 86% balanced accuracy, 83% sensitivity, and 90% specificity. Alternatively, optimizing the thresholds for sensitivity yields a balanced accuracy of 85%, 90% sensitivity, and 79% specificity. This new hiPSC-CM-based assay provides a paradigm that can identify structural and functional cardiotoxic drugs that could be used in conjunction with other endpoints to provide a more comprehensive evaluation of a drug's cardiotoxicity potential.

Indexed as

Drug DiscoveryMetabolomeMetabolomicsBiomarkersCardiotoxicityCell LineChromatography, LiquidDose-Response Relationship, DrugHeart DiseasesHumansInduced Pluripotent Stem CellsMolecular StructureMyocytes, CardiacRisk AssessmentStructure-Activity RelationshipTandem Mass SpectrometryBiomarkersXenobioticscardiotoxicitydrug discovery and developmenthiPSC-CMin vitrometabolites

Identifiers

PMID32040181
PMCPMC7098380

What OpenQuestion holds

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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.