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In Silico Trials for Drug Safety and Efficacy Assessment Using a Novel Human Purkinje Fibre Model

机译:使用新型人类的Purkinje纤维模型在Silico试验中的药物安全和功效评估

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In silico trials using multiscale and biophysically-detailed human models have proven to be a new powerful tool for proarrhythmic risk prediction. Our goal is to evaluate the consistency between in silico results using a novel human Purkinje model and experimental data obtained from rabbit Purkinje fibres. The effects of Diltiazem, Dofetilide, Risperidone, and Verapamil were evaluated through AP biomarkers, at 1 and 0.2 Hz. Drug-induced effects on the ion channels were simulated through a simple pore-block model using IC50 values and Hill coefficients. Simulation results quantitatively reproduced the drug-induced effects experimentally observed for both Dofetilide and Risperidone. Simulations of Diltiazem and Verapamil correctly reproduced drug-induced effects observed experimentally in the early phase of repolarisation, but they showed AP prolongation instead of shortening. The interplay between Ca2+ and K+ current inhibition was identified as the leading cause of the discrepancy. The experimentally observed AP shortening was quantitively matched when not considering the effects on K+ current. In silico trials are a powerful tool for drug safety and efficacy assessment, and their performance requires careful evaluation of data describing drug-ionic current interactions since they critically affect the simulation results.
机译:在使用多尺度的硅试验中,生物物理学的人类模型已被证明是一种新的预训练风险预测的强大工具。我们的目标是使用新的人类purkinje模型和从兔浦羽纤维获得的实验数据来评估Silico结果之间的一致性。通过AP生物标志物在1和0.2Hz下评估Diltizem,Dirodilide,Risperidone和维拉帕米的影响。通过使用IC的简单孔径模型模拟了对离子通道的药物诱导的影响 50 值和山区系数。模拟结果定量再现针对二氟硅烷和立苯胺实验观察到的药物诱导的效果。 Diltiazem和Verapamil的模拟在试验中正确再现的药物诱导的效果在求解的早期阶段观察,但它们显示出延长而不是缩短。 CA之间的相互作用 2 + 和K. + 目前的抑制被确定为差异的主要原因。当不考虑对k +电流的影响时,实验观察到的AP缩短定量匹配。在Silico试验中是一种强大的药物安全性和功效评估工具,它们的性能需要仔细评估描述药物离子电流相互作用的数据,因为它们重视仿真结果。

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