Center for Biomedical Engineering, School of Engineering, Brown University, Providence, RI 02912, United States.
ScitoVation, LLC, Durham, NC 27713, United States.
Toxicol Sci. 2024 Sep 1;201(1):145-157. doi: 10.1093/toxsci/kfae079.
Proarrhythmic cardiotoxicity remains a substantial barrier to drug development as well as a major global health challenge. In vitro human pluripotent stem cell-based new approach methodologies have been increasingly proposed and employed as alternatives to existing in vitro and in vivo models that do not accurately recapitulate human cardiac electrophysiology or cardiotoxicity risk. In this study, we expanded the capacity of our previously established 3D human cardiac microtissue model to perform quantitative risk assessment by combining it with a physiologically based pharmacokinetic model, allowing a direct comparison of potentially harmful concentrations predicted in vitro to in vivo therapeutic levels. This approach enabled the measurement of concentration responses and margins of exposure for 2 physiologically relevant metrics of proarrhythmic risk (i.e. action potential duration and triangulation assessed by optical mapping) across concentrations spanning 3 orders of magnitude. The combination of both metrics enabled accurate proarrhythmic risk assessment of 4 compounds with a range of known proarrhythmic risk profiles (i.e. quinidine, cisapride, ranolazine, and verapamil) and demonstrated close agreement with their known clinical effects. Action potential triangulation was found to be a more sensitive metric for predicting proarrhythmic risk associated with the primary mechanism of concern for pharmaceutical-induced fatal ventricular arrhythmias, delayed cardiac repolarization due to inhibition of the rapid delayed rectifier potassium channel, or hERG channel. This study advances human-induced pluripotent stem cell-based 3D cardiac tissue models as new approach methodologies that enable in vitro proarrhythmic risk assessment with high precision of quantitative metrics for understanding clinically relevant cardiotoxicity.
致心律失常性心脏毒性仍然是药物开发的一个重大障碍,也是一个全球性的主要健康挑战。基于体外人类多能干细胞的新方法学已经越来越多地被提出并应用,作为现有体外和体内模型的替代方法,这些模型不能准确地再现人类心脏电生理学或心脏毒性风险。在这项研究中,我们通过将我们之前建立的 3D 人类心脏微组织模型与基于生理学的药代动力学模型相结合,扩展了其进行定量风险评估的能力,使我们能够将体外预测的潜在有害浓度与体内治疗水平进行直接比较。这种方法使我们能够测量浓度反应和暴露程度,以评估 2 种与致心律失常风险相关的生理相关指标(即动作电位持续时间和通过光学映射评估的三角化),浓度跨度跨越 3 个数量级。这两种指标的结合使我们能够对 4 种具有不同已知致心律失常风险特征的化合物(即奎尼丁、西沙必利、雷诺嗪和维拉帕米)进行准确的致心律失常风险评估,并与它们已知的临床效果密切吻合。发现动作电位三角化是一种更敏感的指标,可以预测与药物引起的致命性心室心律失常、由于抑制快速延迟整流钾通道或 hERG 通道而导致的心脏复极化延迟的主要机制相关的致心律失常风险。这项研究推进了基于人类诱导多能干细胞的 3D 心脏组织模型作为新方法学,能够以定量指标的高精度进行体外致心律失常风险评估,从而了解与临床相关的心脏毒性。