Suppr超能文献

通过 MyocytoBeats 对体外心肌细胞收缩进行定量分析和药物筛选。

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

机构信息

Department of Obstetrics and Gynecology, Shanghai Fourth People's Hospital, School of Life and Sciences and Technology, Tongji University, Shanghai, 200092, China.

School of Mechanical Engineering and the School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, China.

出版信息

J Cardiovasc Transl Res. 2023 Aug;16(4):758-767. doi: 10.1007/s12265-023-10357-x. Epub 2023 Jan 30.

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.

摘要

心肌细胞收缩性是心脏功能的关键特征。在体外量化心肌细胞收缩对于疾病表型特征描述、机制阐明和药物筛选至关重要。尽管已经采用了许多实验方法来确定体外收缩动力学,但仍然需要开发一种省时且易于使用的软件。我们提出了一种可靠的工具,称为 MyocytoBeats,通过处理记录的视频来测量心肌细胞收缩。MyocytoBeats 对各种实验模型的分析结果与另一个经过验证的软件显示出显著的线性关系。我们还在该平台上进行了药理学筛选,发现黄芪甲苷 IV 可稳定心律失常模型中心肌细胞的频率和幅度。MyocytoBeats 是一种用于生成体外研究中心肌细胞收缩数据的高性能工具,在心脏药理学研究中具有很大的潜力。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验