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使用机器人操控心肌细胞,以鉴定心律失常性心肌病的缝隙连接调节剂。

Robotic manipulation of cardiomyocytes to identify gap junction modifiers for arrhythmogenic cardiomyopathy.

机构信息

Institute of Robotics and Intelligent Systems, Dalian University of Technology, Dalian, Liaoning, China.

Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.

出版信息

Sci Robot. 2024 Oct 23;9(95):eadm8233. doi: 10.1126/scirobotics.adm8233.

DOI:10.1126/scirobotics.adm8233
PMID:39441897
Abstract

Arrhythmogenic cardiomyopathy (ACM) is a leading cause of sudden cardiac death among young adults. Aberrant gap junction remodeling has been linked to disease-causative mutations in plakophilin-2 (). Although gap junctions are a key therapeutic target, measurement of gap junction function in preclinical disease models is technically challenging. To quantify gap junction function with high precision and high consistency, we developed a robotic cell manipulation system with visual feedback from digital holographic microscopy for three-dimensional and label-free imaging of human induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs). The robotic system can accurately determine the dynamic height changes in the cells' contraction and resting phases, microinject drug-treated healthy and diseased iPSC-CMs in their resting phase with constant injection depth across all cells, and deposit a membrane-impermeable dye that solely diffuses between cells through gap junctions for measuring the gap junction diffusion function. The robotic system was applied toward a targeted drug screen to identify gap junction modulators and potential therapeutics for ACM. Five compounds were found to dose-dependently enhance gap junction permeability in cardiomyocytes with knockdown. In addition, PCO 400 (pinacidil) reduced beating irregularity in a mouse model of ACM expressing mutant PKP2 (R735X). These results highlight the utility of the robotic cell manipulation system to efficiently assess gap junction function in a relevant preclinical disease model, thus providing a technique to advance drug discovery for ACM and other gap junction-mediated diseases.

摘要

致心律失常性心肌病(ACM)是年轻人心源性猝死的主要原因。桥粒斑蛋白-2()的异常缝隙连接重塑与疾病致病突变有关。尽管缝隙连接是一个关键的治疗靶点,但在临床前疾病模型中测量缝隙连接功能在技术上具有挑战性。为了高精度和高一致性地量化缝隙连接功能,我们开发了一种带有数字全息显微镜视觉反馈的机器人细胞操作系统,用于三维和无标记成像人类诱导多能干细胞衍生的心肌细胞(iPSC-CMs)。该机器人系统可以准确地确定细胞收缩和休息阶段的动态高度变化,在休息阶段以恒定的注射深度对药物处理的健康和患病的 iPSC-CMs 进行微注射,并且沉积一种不可渗透细胞膜的染料,该染料仅通过缝隙连接在细胞之间扩散,用于测量缝隙连接扩散功能。该机器人系统被应用于靶向药物筛选,以鉴定 ACM 的缝隙连接调节剂和潜在治疗药物。发现五种化合物可剂量依赖性地增强 敲低的心肌细胞中的缝隙连接通透性。此外,PCO 400(匹那地尔)降低了表达突变 PKP2(R735X)的 ACM 小鼠模型中的不规则跳动。这些结果突出了机器人细胞操作系统在相关临床前疾病模型中有效评估缝隙连接功能的实用性,从而为 ACM 和其他缝隙连接介导的疾病的药物发现提供了一种技术。

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