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先进的心血管毒性筛查:将人诱导多能干细胞衍生的心肌细胞与二维计算机模拟模型相结合。

Advanced Cardiovascular Toxicity Screening: Integrating Human iPSC-Derived Cardiomyocytes with 2D In Silico Models.

作者信息

Sinitsyna Anastasiya, Berezhnoy Andrey, Semidetnov Ivan, Naumov Vadim, Sergeeva Tatyana, Bakumenko Sergey, Slotvitsky Mikhail, Tsvelaya Valeriya, Agladze Konstantin

机构信息

Laboratory of Experimental and Cellular Medicine, Moscow Institute of Physics and Technology, Dolgoprudny, Russia, 141701.

M. F. Vladimirsky Moscow Regional Research Clinical Institute, Moscow, Russia, 129110.

出版信息

Cardiovasc Toxicol. 2025 May;25(5):790-804. doi: 10.1007/s12012-025-09987-1. Epub 2025 Mar 28.

Abstract

The pharmaceutical industry is evolving with the use of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM) for in vitro cardiac safety screening. Traditional reliance on QT-interval prolongation as a main arrhythmogenicity marker is being challenged. In addition, the Comprehensive In Vitro Proarrhythmia Assay (CiPA) initiative recommends using computer modeling and in silico platforms as a more comprehensive approach for arrhythmogenicity testing in conjunction with hiPSC-CM in vitro screening. Our study presents an innovative platform that integrates in vitro hiPSC-CM propagation test with in silico models to assess the potential arrhythmogenic effect of drug-induced impact on ionic currents and electrophysiological intercellular coupling. Utilizing the electrophysiological and morphological characteristics of hiPSC-CM, we offer a thorough evaluation of potential drug-induced cardiac risks by computer modeling. We show, using the examples of lidocaine (100-300 μM) and Cyclophosphamide (639, 852 μM), that with the use of an integrative experimental and computer platform, it is possible to correctly display the clinical manifestations of side effects in advance.

摘要

制药行业正在随着人类诱导多能干细胞衍生的心肌细胞(hiPSC-CM)用于体外心脏安全性筛选而不断发展。传统上依赖QT间期延长作为主要的致心律失常性标志物正受到挑战。此外,综合体外致心律失常试验(CiPA)倡议建议使用计算机建模和计算机模拟平台,作为与hiPSC-CM体外筛选相结合的更全面的致心律失常性测试方法。我们的研究提出了一个创新平台,该平台将体外hiPSC-CM增殖试验与计算机模拟模型相结合,以评估药物诱导的离子电流和电生理细胞间偶联影响的潜在致心律失常作用。利用hiPSC-CM的电生理和形态学特征,我们通过计算机建模对潜在的药物诱导心脏风险进行了全面评估。我们以利多卡因(100 - 300 μM)和环磷酰胺(639、852 μM)为例表明,使用综合实验和计算机平台,可以提前正确显示副作用的临床表现。

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