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虚拟全面 QT(TQT)试验-使用多尺度生理心脏细胞-室壁模型,以托特罗定和非索罗定为例,将体外心脏安全性数据外推至体内情况。

Virtual Thorough QT (TQT) Trial-Extrapolation of In Vitro Cardiac Safety Data to In Vivo Situation Using Multi-Scale Physiologically Based Ventricular Cell-wall Model Exemplified with Tolterodine and Fesoterodine.

机构信息

Simcyp Division, Certara UK Limited, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK.

Unit of Pharmacoepidemiology and Pharmacoeconomics, Faculty of Pharmacy, Jagiellonian University Medical College, Krakow, Poland.

出版信息

AAPS J. 2018 Jul 11;20(5):83. doi: 10.1208/s12248-018-0244-3.

DOI:10.1208/s12248-018-0244-3
PMID:29995258
Abstract

QT interval prolongation typically assessed with dedicated clinical trials called thorough QT/QTc (TQT) studies is used as surrogate to identify the proarrhythmic risk of drugs albeit with criticism in terms of cost-effectiveness in establishing the actual risk of torsade de pointes (TdP). Quantitative systems toxicology and safety (QSTS) models have potential to quantitatively translate the in vitro cardiac safety data to clinical level including simulation of TQT trials. Virtual TQT simulations have been exemplified with use of two related drugs tolterodine and fesoterodine. The impact of bio-relevant concentration in plasma versus estimated heart tissue exposure on predictions was also assessed. Tolterodine and its therapeutically equipotent metabolite formed via CYP2D6 pathway, 5-HMT, inhibit multiple cardiac ion currents (I, I, I). The QSTS model was able to accurately simulate the QT prolongation at therapeutic and supra-therapeutic dose levels of tolterodine well within 95% confidence interval limits of observed data. The model was able to predict the QT prolongation difference between CYP2D6 extensive and poor metaboliser subject groups at both dose levels thus confirming the ability of the model to account for electrophysiologically active metabolite. The QSTS model was able to simulate the negligible QT prolongation observed with fesoterodine establishing that the 5-HMT does not prolong QT interval even though it is a blocker of hERG channel. With examples of TOL and FESO, we demonstrated the utility of the QSTS approaches to simulate virtual TQT trials, which in turn could complement and reduce the clinical studies or help optimise clinical trial designs.

摘要

QT 间期延长通常通过专门的临床试验(称为全面 QT/QTc [TQT] 研究)进行评估,可作为替代指标来识别药物的致心律失常风险,尽管在建立尖端扭转型室性心动过速(TdP)实际风险方面存在成本效益方面的批评。定量系统毒理学和安全性 (QSTS) 模型有可能将体外心脏安全性数据定量转化为临床水平,包括 TQT 试验的模拟。虚拟 TQT 模拟已使用两种相关药物托特罗定和非索罗定进行了举例说明。还评估了血浆中生物相关浓度与估计的心脏组织暴露对预测的影响。托特罗定及其通过 CYP2D6 途径形成的治疗等效代谢物 5-HMT,抑制多种心脏离子电流(I、I、I)。QSTS 模型能够准确模拟托特罗定在治疗和超治疗剂量水平下的 QT 延长,在观察数据的 95%置信区间范围内。该模型能够预测 CYP2D6 广泛代谢和不良代谢受试者在两种剂量水平下的 QT 延长差异,从而证实了该模型能够解释具有电生理活性的代谢物。QSTS 模型能够模拟非索罗定观察到的可忽略不计的 QT 延长,证明 5-HMT 不会延长 QT 间期,尽管它是 hERG 通道的阻断剂。通过 TOL 和 FESO 的示例,我们展示了 QSTS 方法模拟虚拟 TQT 试验的实用性,这反过来又可以补充和减少临床研究或有助于优化临床试验设计。

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