Evidence map›Paper›PMID 30514966›Full record

ArticleScientific reports2018

Inversion and computational maturation of drug response using human stem cell derived cardiomyocytes in microphysiological systems.

Aslak Tveito, Karoline Horgmo Jæger, Nathaniel Huebsch, Bérénice Charrez, Andrew G Edwards, Samuel Wall, Kevin E Healy

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
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  5. Sometimes extracellular recordings fail for good reasons.NPJ systems biology and applications · 2026
    Article
  6. Large-scale synthetic data enable digital twins of human excitable cells.bioRxiv : the preprint server for biology · 2025
    Article
  7. 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

7 authors.

Aslak TveitoSimula Research Laboratory, Oslo, Norway. aslak@simula.no.
Karoline Horgmo JægerSimula Research Laboratory, Oslo, Norway.
Nathaniel HuebschDepartments of Bioengineering, Material Science and Engineering, University of California, Berkeley, California, USA.
Bérénice CharrezDepartments of Bioengineering, Material Science and Engineering, University of California, Berkeley, California, USA.
Andrew G EdwardsSimula Research Laboratory, Oslo, Norway.
Samuel WallSimula Research Laboratory, Oslo, Norway.
Kevin E HealyDepartments of Bioengineering, Material Science and Engineering, University of California, Berkeley, California, USA.

Funding

Modeling metabolic interactions of liver and fat with integrated microphysiological systemsUH3TR000487 · NCATS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HEALY, KEVIN EDWARD · 2014 to 2016
$2.9M
Human heart-on-a-chip for screening cardiomyopathy and chemotherapeutic cardiotoxicityR01HL130417 · NHLBI · UNIVERSITY OF CALIFORNIA BERKELEY · PI HEALY, KEVIN EDWARD · 2017 to 2020
$2.3M
California Institute for Regenerative Medicine (CIRM) DISC2-10090NCATS NIH HHS UH3 TR000487NHLBI NIH HHS R01 HL130417Norges Forskningsråd (Research Council of Norway) 249885
6 · The paper itself

Abstract

While cardiomyocytes differentiated from human induced pluripotent stems cells (hiPSCs) hold great promise for drug screening, the electrophysiological properties of these cells can be variable and immature, producing results that are significantly different from their human adult counterparts. Here, we describe a computational framework to address this limitation, and show how in silico methods, applied to measurements on immature cardiomyocytes, can be used to both identify drug action and to predict its effect in mature cells. Our synthetic and experimental results indicate that optically obtained waveforms of voltage and calcium from microphysiological systems can be inverted into information on drug ion channel blockage, and then, through assuming functional invariance of proteins during maturation, this data can be used to predict drug induced changes in mature ventricular cells. Together, this pipeline of measurements and computational analysis could significantly improve the ability of hiPSC derived cardiomycocytes to predict dangerous drug side effects.

Indexed as

Computer SimulationAnti-Ulcer AgentsCalcium Channel BlockersCells, CulturedCisaprideElectrophysiological PhenomenaHumansMyocytes, CardiacVerapamilAnti-Ulcer AgentsCalcium Channel BlockersCisaprideVerapamil

Identifiers

PMID30514966
PMCPMC6279833

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.