Lu Hua Rong, Whittaker Ross, Price Jeffrey H, Vega Raquel, Pfeiffer Emily R, Cerignoli Fabio, Towart Rob, Gallacher David J
*Global Safety Pharmacology, Preclinical Development & Safety, Discovery Sciences, Janssen Pharmaceutical NV, B2340 Beerse, Belgium;
Vala Sciences Inc. San Diego, California 92121;
Toxicol Sci. 2015 Dec;148(2):503-16. doi: 10.1093/toxsci/kfv201. Epub 2015 Sep 9.
Human induced pluripotent stem cell-derived cardiomyocytes (hiPS-CMs) are emerging as a powerful in vitro model for cardiac safety assessment which may allow for better identification of compounds with poor arrhythmogenic liability profiles early in the drug discovery process. Here, we describe our examination of the Kinetic Image Cytometer (KIC) system's ability to predict adverse compound effects using hiPS-CMs and a library of 53 compounds, the majority of which are known to be cardioactive compounds, and several negative controls. The KIC provides a high throughput method for analyzing intracellular calcium transients. In the cardiomyocyte, intracellular calcium transients integrate the electrochemical signals of the action potential (AP) with the molecular signaling pathways regulating contraction. Drug-induced alterations in the shape and duration of AP result in changes to the shape and duration of the intracellular calcium transient. By examining calcium transient dynamics in hiPS-CMs, KIC can be used as a phenotypic screen to assess compound effects across multiple ion channel types (MITs), detecting MITs, calcium handling and signaling effects. The results of this blinded study indicate that using hiPS-CMs, KIC is able to accurately detect drug-induced changes in Ca(2+) transient dynamics (ie, duration and beat rate) and therefore, may be useful in predicting drug-induced arrhythmogenic liabilities in early de-risking within the drug discovery phase.
人诱导多能干细胞衍生的心肌细胞(hiPS-CMs)正在成为一种强大的体外心脏安全性评估模型,这可能有助于在药物发现过程的早期更好地识别具有不良致心律失常风险特征的化合物。在此,我们描述了我们对动态图像细胞仪(KIC)系统使用hiPS-CMs和一个包含53种化合物的库(其中大多数已知是具有心脏活性的化合物)以及几种阴性对照来预测化合物不良影响能力的研究。KIC提供了一种用于分析细胞内钙瞬变的高通量方法。在心肌细胞中,细胞内钙瞬变将动作电位(AP)的电化学信号与调节收缩的分子信号通路整合在一起。药物诱导的AP形状和持续时间的改变会导致细胞内钙瞬变的形状和持续时间发生变化。通过检查hiPS-CMs中的钙瞬变动力学,KIC可作为一种表型筛选方法,用于评估多种离子通道类型(MITs)、检测MITs、钙处理和信号传导效应的化合物影响。这项盲法研究的结果表明,使用hiPS-CMs,KIC能够准确检测药物诱导的Ca(2+)瞬变动力学变化(即持续时间和搏动率),因此,在药物发现阶段的早期风险评估中,可能有助于预测药物诱导的致心律失常风险。