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使用光学映射 hiPSC 衍生的 3D 心脏微组织进行心脏毒性测试的动作电位指标和自动化数据分析管道。

Action potential metrics and automated data analysis pipeline for cardiotoxicity testing using optically mapped hiPSC-derived 3D cardiac microtissues.

机构信息

Center for Biomedical Engineering, School of Engineering, Brown University, Providence, Rhode Island, United States of America.

Cardiovascular Research Center, Cardiovascular Institute, Rhode Island Hospital and Alpert Medical School of Brown University, Providence, Rhode Island, United States of America.

出版信息

PLoS One. 2023 Feb 6;18(2):e0280406. doi: 10.1371/journal.pone.0280406. eCollection 2023.

Abstract

Recent advances in human induced pluripotent stem cell (hiPSC)-derived cardiac microtissues provide a unique opportunity for cardiotoxic assessment of pharmaceutical and environmental compounds. Here, we developed a series of automated data processing algorithms to assess changes in action potential (AP) properties for cardiotoxicity testing in 3D engineered cardiac microtissues generated from hiPSC-derived cardiomyocytes (hiPSC-CMs). Purified hiPSC-CMs were mixed with 5-25% human cardiac fibroblasts (hCFs) under scaffold-free conditions and allowed to self-assemble into 3D spherical microtissues in 35-microwell agarose gels. Optical mapping was performed to quantify electrophysiological changes. To increase throughput, AP traces from 4x4 cardiac microtissues were simultaneously acquired with a voltage sensitive dye and a CMOS camera. Individual microtissues showing APs were identified using automated thresholding after Fourier transforming traces. An asymmetric least squares method was used to correct non-uniform background and baseline drift, and the fluorescence was normalized (ΔF/F0). Bilateral filtering was applied to preserve the sharpness of the AP upstroke. AP shape changes under selective ion channel block were characterized using AP metrics including stimulation delay, rise time of AP upstroke, APD30, APD50, APD80, APDmxr (maximum rate change of repolarization), and AP triangulation (APDtri = APDmxr-APD50). We also characterized changes in AP metrics under various ion channel block conditions with multi-class logistic regression and feature extraction using principal component analysis of human AP computer simulations. Simulation results were validated experimentally with selective pharmacological ion channel blockers. In conclusion, this simple and robust automated data analysis pipeline for evaluating key AP metrics provides an excellent in vitro cardiotoxicity testing platform for a wide range of environmental and pharmaceutical compounds.

摘要

近年来,人类诱导多能干细胞(hiPSC)衍生的心肌微组织的进展为评估药物和环境化合物的心脏毒性提供了独特的机会。在这里,我们开发了一系列自动化数据处理算法,以评估从 hiPSC 衍生的心肌细胞(hiPSC-CMs)生成的 3D 工程心肌微组织中的动作电位(AP)特性变化,用于心脏毒性测试。将 hiPSC-CMs 与 5-25%的人心肌成纤维细胞(hCFs)在无支架条件下混合,并允许它们在 35 微孔琼脂糖凝胶中自组装成 3D 球形微组织。进行光学映射以量化电生理变化。为了提高通量,使用电压敏感染料和 CMOS 相机同时获取 4x4 个心肌微组织的 AP 迹线。在用傅立叶变换迹线对迹线进行自动阈值处理后,使用个体微组织识别显示 AP 的微组织。使用不对称最小二乘法校正非均匀背景和基线漂移,并归一化荧光(ΔF/F0)。应用双边滤波保持 AP 上升斜率的锐度。使用 AP 指标特征描述选择性离子通道阻断下的 AP 形状变化,包括刺激延迟、AP 上升时间、APD30、APD50、APD80、APDmxr(复极最大速率变化)和 AP 三角化(APDtri = APDmxr-APD50)。我们还使用多类逻辑回归和主成分分析对人类 AP 计算机模拟进行特征提取,描述了在各种离子通道阻断条件下的 AP 指标变化。通过使用选择性药理学离子通道阻滞剂对模拟结果进行实验验证。总之,这种用于评估关键 AP 指标的简单而强大的自动化数据分析管道为广泛的环境和药物化合物提供了出色的体外心脏毒性测试平台。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea67/9901774/2633c904f040/pone.0280406.g001.jpg

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