Evidence map›Paper›PMID 35592423›Full record

ArticleFrontiers in pharmacology2022

Direct Contraction Force Measurements of Engineered Cardiac Tissue Constructs With Inotropic Drug Exposure.

Maria Koivisto, Milad Mosallaei, Tarja Toimela, Sampo Tuukkanen, Tuula Heinonen

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Estimation of Active Tension in Cardiac Microtissues by Solving a PDE-Constrained Optimization Problem.International journal for numerical methods in biomedical engineering · 2025
    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

5 authors.

Maria KoivistoFHAIVE (Finnish Hub for Development and Validation of Integrated Approaches), Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Milad MosallaeiFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Tarja ToimelaFHAIVE (Finnish Hub for Development and Validation of Integrated Approaches), Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Sampo TuukkanenFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Tuula HeinonenFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contractility is one of the most crucial functions of the heart because it is directly related to the maintenance of blood perfusion throughout the body. Both increase and decrease in contractility may cause fatal consequences. Therefore, drug discovery would benefit greatly from reliable testing of candidate molecule effects on contractility capacity. In this study, we further developed a dual-axis piezoelectric force sensor together with our human cell-based vascularized cardiac tissue constructs for cardiac contraction force measurements. The capability to detect drug-induced inotropic effects was tested with a set of known positive and negative inotropic compounds of isoprenaline, milrinone, omecamtiv mecarbil, propranolol, or verapamil in different concentrations. Both positive and negative inotropic effects were measurable, showing that our cardiac contraction force measurement system including a piezoelectric cantilever sensor and a human cell-based cardiac tissue constructs has the potential to be used for testing of inotropic drug effects.

Indexed as

cardiac tissue modelconformal coatingcontraction forceforce measurementhuman-induced pluripotent stem cell–derived cardiomyocytesinotropic drugin vitro model

Identifiers

PMID35592423
PMCPMC9110810

What OpenQuestion holds

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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.