Evidence map›Paper›PMID 35299653›Full record

ReviewMicrosystems & nanoengineering2022

Microengineered platforms for characterizing the contractile function of in vitro cardiac models.

Wenkun Dou, Manpreet Malhi, Qili Zhao, Li Wang, Zongjie Huang, Junhui Law, Na Liu, Craig A Simmons, Jason T Maynes, Yu Sun

Open access · goldAbstract readReview
In one paragraph

Review in Microsystems & nanoengineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
14.2field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 69 citations in OpenAlex.

  1. Article
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  7. Article
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  9. Article
  10. Review
  11. Review
  12. Simultaneous Measurement of Contractile Force and CaSensors (Basel, Switzerland) · 2025
    Article
  13. Review
  14. Article
  15. Review
  16. Review
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  18. Estimation of Active Tension in Cardiac Microtissues by Solving a PDE-Constrained Optimization Problem.International journal for numerical methods in biomedical engineering · 2025
    Article
  19. Article
  20. Review
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 at 4 institutions in 2 countries.

Wenkun Dou *Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8 Canada.ORCID 0000-0002-9686-8597
Manpreet Malhi *Program in Molecular Medicine, The Hospital for Sick Children, Toronto, ON M5G 1X8 Canada.
Qili ZhaoInstitute of Robotics and Automatic Information System and the Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, 300350 China.
Li WangSchool of Mechanical & Automotive Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353 China.ORCID 0000-0002-5166-0397
Zongjie HuangDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8 Canada.
Junhui LawDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8 Canada.
Na LiuSchool of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200444 China.
Craig A SimmonsDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8 Canada.ORCID 0000-0001-7729-1772
Jason T MaynesProgram in Molecular Medicine, The Hospital for Sick Children, Toronto, ON M5G 1X8 Canada.
Yu SunDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8 Canada.
University of Toronto · CANankai University · CNQilu University of Technology · CNShanghai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging heart-on-a-chip platforms are promising approaches to establish cardiac cell/tissue models in vitro for research on cardiac physiology, disease modeling and drug cardiotoxicity as well as for therapeutic discovery. Challenges still exist in obtaining the complete capability of in situ sensing to fully evaluate the complex functional properties of cardiac cell/tissue models. Changes to contractile strength (contractility) and beating regularity (rhythm) are particularly important to generate accurate, predictive models. Developing new platforms and technologies to assess the contractile functions of in vitro cardiac models is essential to provide information on cell/tissue physiologies, drug-induced inotropic responses, and the mechanisms of cardiac diseases. In this review, we discuss recent advances in biosensing platforms for the measurement of contractile functions of in vitro cardiac models, including single cardiomyocytes, 2D monolayers of cardiomyocytes, and 3D cardiac tissues. The characteristics and performance of current platforms are reviewed in terms of sensing principles, measured parameters, performance, cell sources, cell/tissue model configurations, advantages, and limitations. In addition, we highlight applications of these platforms and relevant discoveries in fundamental investigations, drug testing, and disease modeling. Furthermore, challenges and future outlooks of heart-on-a-chip platforms for in vitro measurement of cardiac functional properties are discussed.

Indexed as

Biosensors

Identifiers

PMID35299653
PMCPMC8882466
OpenAlexW4220970756

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.