Evidence map›Paper›PMID 35421132›Full record

ArticlePloS one2022

Contractility analysis of human engineered 3D heart tissues by an automatic tracking technique using a standalone application.

José M Rivera-Arbeláez, Carla Cofiño-Fabres, Verena Schwach, Tom Boonen, Simone A Ten Den, Kim Vermeul, Albert van den Berg, Loes I Segerink, Marcelo C Ribeiro, Robert Passier

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. European heart journal open · 2025
    Article
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  6. 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

10 authors.

José M Rivera-ArbeláezApplied Stem Cell Technologies, TechMed Centre, University of Twente, Enschede, The Netherlands.ORCID 0000-0002-0075-6006
Carla Cofiño-FabresApplied Stem Cell Technologies, TechMed Centre, University of Twente, Enschede, The Netherlands.
Verena SchwachApplied Stem Cell Technologies, TechMed Centre, University of Twente, Enschede, The Netherlands.
Tom BoonenRiver BioMedics, Enschede, The Netherlands.
Simone A Ten DenApplied Stem Cell Technologies, TechMed Centre, University of Twente, Enschede, The Netherlands.
Kim VermeulApplied Stem Cell Technologies, TechMed Centre, University of Twente, Enschede, The Netherlands.
Albert van den BergBIOS Lab-on-a-Chip Group, MESA+ Institute for Nanotechnology, Technical Medical Centre, Max Planck Center for Complex Fluid Dynamics, University of Twente, Enschede, The Netherlands.
Loes I SegerinkBIOS Lab-on-a-Chip Group, MESA+ Institute for Nanotechnology, Technical Medical Centre, Max Planck Center for Complex Fluid Dynamics, University of Twente, Enschede, The Netherlands.
Marcelo C RibeiroApplied Stem Cell Technologies, TechMed Centre, University of Twente, Enschede, The Netherlands.
Robert PassierApplied Stem Cell Technologies, TechMed Centre, University of Twente, Enschede, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of Engineered Heart Tissues (EHT) as in vitro model for disease modeling and drug screening has increased, as they provide important insight into the genetic mechanisms, cardiac toxicity or drug responses. Consequently, this has highlighted the need for a standardized, unbiased, robust and automatic way to analyze hallmark physiological features of EHTs. In this study we described and validated a standalone application to analyze physiological features of EHTs in an automatic, robust, and unbiased way, using low computational time. The standalone application "EHT Analysis" contains two analysis modes (automatic and manual) to analyzes the contractile properties and the contraction kinetics of EHTs from high speed bright field videos. As output data, the graphs of displacement, contraction force and contraction kinetics per file will be generated together with the raw data. Additionally, it also generates a summary file containing all the data from the analyzed files, which facilitates and speeds up the post analysis. From our study we highlight the importance of analyzing the axial stress which is the force per surface area (μN/mm2). This allows to have a readout overtime of tissue compaction, axial stress and leave the option to calculate at the end point of an experiment the physiological cross-section area (PSCA). We demonstrated the utility of this tool by analyzing contractile properties and compaction over time of EHTs made out of a double reporter human pluripotent stem cell (hPSC) line (NKX2.5EGFP/+-COUP-TFIImCherry/+) and different ratios of human adult cardiac fibroblasts (HCF). Our standalone application "EHT Analysis" can be applied for different studies where the physiological features of EHTs needs to be analyzed under the effect of a drug compound or in a disease model.

Indexed as

Myocardial ContractionTissue EngineeringCell LineDrug Evaluation, PreclinicalHeartHumansMyocytes, Cardiac

Identifiers

PMID35421132
PMCPMC9009597

What OpenQuestion holds

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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.