Emerging biotechnologies for screening electromechanical signals of cardiomyocytes

Author:

Tang Si123,Sun Lingyu45ORCID,Shi Huiyao123,Wang Kaixuan123,Shi Jialin12,Su Chanmin12,Zhao Yuanjin45ORCID,Liu Lianqing12ORCID

Affiliation:

1. State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China

2. Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

3. University of Chinese Academy of Sciences Beijing China

4. Department of Cardio‐Thoracic Surgery Institute of Translational Medicine Nanjing Drum Tower Hospital The Affiliated Hospital of Nanjing University Medical School Nanjing China

5. State Key Laboratory of Bioelectronics School of Biological Science and Medical Engineering Southeast University Nanjing China

Abstract

AbstractCardiac diseases threaten human health and burden the global healthcare system. Cardiomyocytes (CMs) are considered the ideal model for studying the signal transduction and regulation of cardiac systems. Based on the principle of the rhythmical beating process (excitation‒contraction coupling mechanism of CMs), investigating the mechanical and electrophysiological signals offered new hope for cardiac disease detection, prevention, and treatment. Considerable technological success has been achieved in electromechanical signal recording. However, most drug assessment platforms attach importance to high‐throughput and dynamic monitoring of mechanical or electrical signals while overlooking the measuring principles and physiological significance of the signal. In this review, the development of biosensing platforms for CMs, sensing principles, key measured parameters, measurement accuracy, and limitations are discussed. Additionally, various approaches for the stimulation and measurement of CMs in vitro are discussed to further elucidate the response of these cells to external stimuli. Furthermore, disease modeling and drug screening are used as examples to intuitively demonstrate the contribution of in vitro CM measurement platforms to the biomedical field, thereby further illustrating the challenges and prospects of these sensing platforms.

Funder

Youth Innovation Promotion Association of the Chinese Academy of Sciences

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3