Evidence map›Paper›PMID 36715820›Full record

ArticleJournal of cardiovascular translational research2023

Quantification of Cardiomyocyte Contraction In Vitro and Drug Screening by MyocytoBeats.

Zhiyang Cheng, Yuxin Yang, Kai Jiang, Hongyi Nie, Xingbo Yang, Zizhuo Tu, Jiayi Liang, Yaozu Xiang

Abstract read
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In one paragraph

Article in Journal of cardiovascular translational research, 2023. 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
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 2 countries.

Zhiyang Cheng *Department of Obstetrics and Gynecology, Shanghai Fourth People's Hospital, School of Life and Sciences and Technology, Tongji University, Shanghai, 200092, China.
Yuxin Yang *Department of Obstetrics and Gynecology, Shanghai Fourth People's Hospital, School of Life and Sciences and Technology, Tongji University, Shanghai, 200092, China.
Kai JiangDepartment of Obstetrics and Gynecology, Shanghai Fourth People's Hospital, School of Life and Sciences and Technology, Tongji University, Shanghai, 200092, China.
Hongyi NieSchool of Mechanical Engineering and the School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, China.
Xingbo YangDepartment of Obstetrics and Gynecology, Shanghai Fourth People's Hospital, School of Life and Sciences and Technology, Tongji University, Shanghai, 200092, China.
Zizhuo TuDepartment of Obstetrics and Gynecology, Shanghai Fourth People's Hospital, School of Life and Sciences and Technology, Tongji University, Shanghai, 200092, China.
Jiayi LiangDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Yaozu XiangDepartment of Obstetrics and Gynecology, Shanghai Fourth People's Hospital, School of Life and Sciences and Technology, Tongji University, Shanghai, 200092, China. yaozu.xiang@tongji.edu.cn.ORCID http://orcid.org/0000-0002-1452-6455
Tongji University · CNImperial College London · GBNorthwestern Polytechnical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiomyocyte contractility is the crucial feature of heart function. Quantifying cardiomyocyte contraction in vitro is essential for disease phenotype characterization, mechanism illumination, and drug screening. Although many experimental methods have been employed to determine contraction dynamics in vitro, a time-saving and easy-to-use software is still needed to be developed. We presented a reliable tool, named MyocytoBeats, to measure cardiomyocyte contraction by processing recorded videos. Analysis results by MyocytoBeats of various experimental models have shown a significant linear relationship with another validated software. We also performed pharmacology screen in the platform, and astragaloside IV was identified to stabilize the frequency and amplitude of cardiomyocyte in the arrhythmia model. MyocytoBeats is a high-performance tool for generating cardiomyocyte contraction data of vitro study and shows a great potential in cardiac pharmacology study.

Indexed as

Myocytes, CardiacSoftwareArrhythmias, CardiacDrug Evaluation, PreclinicalHumansMyocardial ContractionCardiacContractionDrug screeningSoftware

Identifiers

PMID36715820
OpenAlexW4318485374

What OpenQuestion holds

Textmetadata
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.