Nguemo Filomain, Šarić Tomo, Pfannkuche Kurt, Watzele Manfred, Reppel Michael, Hescheler Jürgen
Institute of Neurophysiology, University of Cologne, Cologne, Germany.
Cell Physiol Biochem. 2012;29(5-6):819-32. doi: 10.1159/000188069. Epub 2012 May 11.
BACKGROUND/AIMS: Cardiac dysfunction is one of the main cause of drug candidate failures in the preclinical and/or clinical studies and responsible for the retraction of large number of drugs from the market. The prediction of arrhythmic risk based on preclinical trials during drug development remains limited despite intensive and costly investigation. Moreover, methods for analyzing beating behavior of cardiomyocytes (CMs) in culture to diagnose arrhythmias are not well developed.
In this study, we combined two emerging technologies, induced pluripotent stem (iPS) cell-derived CMs and impedance-based real-time (xCELLigence RTCA Cardio Instrument) monitoring of CM electrical activity, to assess the effect of drugs known affect cardiac activity such as isoproterenol, carbachol, terfenadine, sotalol and doxorubicin. Cells were exposed to a drug in a single dose or repeated dose scenarios and data were analyzed using RTCA Cardio software, Poincaré plot and detrended fluctuation analysis.
The results revealed significant changes in beating parameters of iPS-CMs induced by reference compounds. Heptanol, gap junction blocker, completely disrupted the synchronous beating pattern of iPS-CMs. Decrease of beating rate, amplitude and beat-to-beat signal variations of iPS-CMs monolayer observed in the presence of doxorubicin revealed severe abnormality detected by the system. Additionally, the irregular beating rhythms recorded in the presence of Terfenadine and Sotalol at high concentration, reflect abnormalities in cell contraction and/or relaxation which may lead to arrhythmia.
All these results indicated that xCELLigence RTCA Cardio system combined with iPS cells, has the potential to be an attractive high-throughput tool for studying CMs during prolonged culture times and to screen potential drugs for cardiotoxic side effects.
背景/目的:心脏功能障碍是临床前和/或临床研究中候选药物失败的主要原因之一,也是大量药物撤市的原因。尽管进行了密集且昂贵的研究,但基于药物开发期间临床前试验对心律失常风险的预测仍然有限。此外,用于分析培养的心肌细胞(CMs)搏动行为以诊断心律失常的方法尚未得到充分发展。
在本研究中,我们结合了两种新兴技术,即诱导多能干细胞(iPS)衍生的CMs和基于阻抗的实时(xCELLigence RTCA Cardio仪器)监测CMs电活动,以评估已知影响心脏活动的药物如异丙肾上腺素、卡巴胆碱、特非那定、索他洛尔和阿霉素的作用。细胞在单剂量或重复剂量情况下暴露于药物,并使用RTCA Cardio软件、庞加莱图和去趋势波动分析对数据进行分析。
结果显示参考化合物诱导的iPS-CMs搏动参数有显著变化。缝隙连接阻滞剂庚醇完全破坏了iPS-CMs的同步搏动模式。在阿霉素存在下观察到的iPS-CMs单层搏动率、振幅和逐搏信号变化的降低表明该系统检测到严重异常。此外,在高浓度特非那定和索他洛尔存在下记录的不规则搏动节律反映了细胞收缩和/或舒张的异常,这可能导致心律失常。
所有这些结果表明,xCELLigence RTCA Cardio系统与iPS细胞相结合,有可能成为一种有吸引力的高通量工具,用于在延长的培养时间内研究CMs,并筛选具有心脏毒性副作用的潜在药物。