Construction of engineered cardiac tissue on a heart-on-a-chip device enables modeling of arrhythmogenic right ventricular cardiomyopathy

IF 10.7 1区 生物学 Q1 BIOPHYSICS
Kai-Yun Qu , Hong-Yi Cheng , Li Qiao , Jin-Cheng Jiao , Shi-Qi Chang , Xia-Feng Peng , Chang Cui , Feng Zhang , Ning-Ping Huang
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引用次数: 0

Abstract

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a progressive cardiac disorder characterized by the replacement of the right ventricular myocardium with fibrofatty tissue, with an incidence rate of approximately 1 in 5000. To advance our understanding of its pathology and facilitate drug screening, there is an urgent need for myocardial models that closely replicate human physiological conditions. In this study, we developed an engineered cardiac tissue (ECT) model on a chip using cardiomyocytes differentiated from induced pluripotent stem cells (iPSCs) derived from ARVC patients. The disease ECT model successfully recapitulated key phenotypic features of ARVC, including reduced contractility, arrhythmic events, and abnormal calcium transients. We further assessed the drug responses of the model to isoproterenol and amiodarone, confirming increased sensitivity to isoproterenol in the ARVC model, while amiodarone effectively alleviated the arrhythmic events. In conclusion, our ECT model successfully reproduced ARVC phenotypes, providing a novel platform for drug screening and pathological studies.
在心脏芯片设备上构建工程心脏组织,可以对致心律失常的右室心肌病进行建模
心律失常性右室心肌病(ARVC)是一种进行性心脏疾病,其特征是右心室心肌被纤维脂肪组织取代,发病率约为1 / 5000。为了提高我们对其病理的理解和促进药物筛选,迫切需要能够密切复制人体生理状况的心肌模型。在这项研究中,我们利用来自ARVC患者的诱导多能干细胞(iPSCs)分化的心肌细胞,在芯片上开发了一种工程化心脏组织(ECT)模型。疾病ECT模型成功再现了ARVC的关键表型特征,包括收缩性降低、心律失常事件和钙瞬态异常。我们进一步评估了模型对异丙肾上腺素和胺碘酮的药物反应,证实ARVC模型对异丙肾上腺素的敏感性增加,而胺碘酮有效缓解了心律失常事件。总之,我们的ECT模型成功复制了ARVC表型,为药物筛选和病理研究提供了一个新的平台。
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来源期刊
Biosensors and Bioelectronics
Biosensors and Bioelectronics 工程技术-电化学
CiteScore
20.80
自引率
7.10%
发文量
1006
审稿时长
29 days
期刊介绍: Biosensors & Bioelectronics, along with its open access companion journal Biosensors & Bioelectronics: X, is the leading international publication in the field of biosensors and bioelectronics. It covers research, design, development, and application of biosensors, which are analytical devices incorporating biological materials with physicochemical transducers. These devices, including sensors, DNA chips, electronic noses, and lab-on-a-chip, produce digital signals proportional to specific analytes. Examples include immunosensors and enzyme-based biosensors, applied in various fields such as medicine, environmental monitoring, and food industry. The journal also focuses on molecular and supramolecular structures for enhancing device performance.
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