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一种基于生理的药代动力学建模方法预测疾病-药物相互作用:IL-6 对 CYP3A 的抑制作用。

A physiologically based pharmacokinetic modeling approach to predict disease-drug interactions: suppression of CYP3A by IL-6.

机构信息

Simcyp (a Certara Company), Sheffield, UK.

出版信息

Clin Pharmacol Ther. 2013 Aug;94(2):260-8. doi: 10.1038/clpt.2013.79. Epub 2013 Apr 10.

DOI:10.1038/clpt.2013.79
PMID:23588308
Abstract

Elevated cytokine levels are known to downregulate expression and suppress activity of cytochrome P450 enzymes (CYPs). Cytokine-modulating therapeutic proteins (TPs) used in the treatment of inflammation or infection could reverse suppression, manifesting as TP-drug-drug interactions (TP-DDIs). A physiologically based pharmacokinetic model was used to quantitatively predict the impact of interleukin-6 (IL-6) on sensitive CYP3A4 substrates. Elevated simvastatin area under the plasma concentration-time curve (AUC) in virtual rheumatoid arthritis (RA) patients, following 100 pg/ml of IL-6, was comparable to observed clinical data (59 vs. 58%). In virtual bone marrow transplant (BMT) patients, 500 pg/ml of IL-6 resulted in an increase in cyclosporine AUC, also in good agreement with the observed data (45 vs. 39%). In a different group of BMT patients treated with cyclosporine, the magnitude of interaction with IL-6 was underpredicted by threefold. The complexity of TP-DDIs highlights underlying pathophysiological factors to be considered, but these simulations provide valuable first steps toward predicting TP-DDI risk.

摘要

细胞因子水平升高已知会下调细胞色素 P450 酶(CYPs)的表达和抑制其活性。用于治疗炎症或感染的细胞因子调节治疗性蛋白(TPs)可能会逆转抑制作用,表现为 TP-药物相互作用(TP-DDIs)。使用基于生理学的药代动力学模型来定量预测白细胞介素-6(IL-6)对敏感 CYP3A4 底物的影响。在虚拟类风湿关节炎(RA)患者中,100 pg/ml 的 IL-6 可使辛伐他汀的血浆浓度-时间曲线下面积(AUC)升高,这与观察到的临床数据相当(59 比 58%)。在虚拟骨髓移植(BMT)患者中,500 pg/ml 的 IL-6 导致环孢素 AUC 增加,与观察到的数据也非常吻合(45 比 39%)。在另一组接受环孢素治疗的 BMT 患者中,IL-6 与环孢素的相互作用程度被低估了三倍。TP-DDIs 的复杂性突出了需要考虑的潜在病理生理因素,但这些模拟为预测 TP-DDI 风险提供了有价值的初步步骤。

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