Si Tang, Lingyu Sun, Huiyao Shi, Kaixuan Wang, Jialin Shi, Chanmin Su, Yuanjin Zhao, Lianqing Liu
{"title":"Emerging biotechnologies for screening electromechanical signals of cardiomyocytes","authors":"Si Tang, Lingyu Sun, Huiyao Shi, Kaixuan Wang, Jialin Shi, Chanmin Su, Yuanjin Zhao, Lianqing Liu","doi":"10.1002/agt2.614","DOIUrl":null,"url":null,"abstract":"Cardiac 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.","PeriodicalId":501414,"journal":{"name":"Aggregate","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aggregate","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/agt2.614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Cardiac 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.