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使用更新的体外转运模型结合生理药代动力学建模预测酮康唑的吸收情况。

Prediction of Ketoconazole absorption using an updated in vitro transfer model coupled to physiologically based pharmacokinetic modelling.

作者信息

Ruff Aaron, Fiolka Tom, Kostewicz Edmund S

机构信息

Institute of Pharmaceutical Technology, Goethe University, Frankfurt/Main, Germany.

Institute of Pharmaceutical Technology, Goethe University, Frankfurt/Main, Germany.

出版信息

Eur J Pharm Sci. 2017 Mar 30;100:42-55. doi: 10.1016/j.ejps.2016.12.017. Epub 2016 Dec 21.

Abstract

The aim of this study was to optimize the in vitro transfer model and to increase its biorelevance to more accurately mimic the in vivo supersaturation and precipitation behaviour of weak basic drugs. Therefore, disintegration of the formulation, volumes of the stomach and intestinal compartments, transfer rate, bile salt concentration, pH range and paddle speed were varied over a physiological relevant range. The supersaturation and precipitation data from these experiments for Ketoconazole (KTZ) were coupled to physiologically based pharmacokinetic (PBPK) model using Stella® software, which also incorporated the disposition kinetics of KTZ taken from the literature, in order to simulate the oral absorption and plasma profile in humans. As expected for a poorly soluble weak base, KTZ demonstrated supersaturation followed by precipitation under various in vitro conditions simulating the proximal small intestine with the results influenced by transfer rate, hydrodynamics, volume, bile salt concentration and pH values. When the in vitro data representing the "average" GI conditions was coupled to the PBPK model, the simulated profiles came closest to the observed mean plasma profiles for KTZ. In line with the high permeability of KTZ, the simulated profiles were highly influenced by supersaturation whilst precipitation was not predicted to occur in vivo. A physiological relevant in vitro "standard" transfer model setup to investigate supersaturation and precipitation was established. For translating the in vitro data to the in vivo setting, it is important that permeability is considered which can be achieved by coupling the in vitro data to PBPK modelling.

摘要

本研究的目的是优化体外转运模型,提高其生物相关性,以更准确地模拟弱碱性药物的体内过饱和和沉淀行为。因此,在生理相关范围内改变制剂的崩解、胃和肠道隔室的体积、转运速率、胆汁盐浓度、pH范围和桨叶速度。使用Stella®软件将酮康唑(KTZ)这些实验的过饱和和沉淀数据与基于生理的药代动力学(PBPK)模型相结合,该模型还纳入了文献中报道的KTZ处置动力学,以模拟人体口服吸收和血浆曲线。正如对难溶性弱碱所预期的那样,在模拟近端小肠的各种体外条件下,KTZ表现出过饱和随后沉淀,结果受转运速率、流体动力学、体积、胆汁盐浓度和pH值的影响。当将代表“平均”胃肠道条件的体外数据与PBPK模型相结合时,模拟曲线最接近观察到的KTZ平均血浆曲线。鉴于KTZ的高渗透性,模拟曲线受超饱和的影响很大,而预计体内不会发生沉淀。建立了一个生理相关的体外“标准”转运模型来研究过饱和和沉淀。为了将体外数据转化为体内情况,考虑通透性很重要,这可以通过将体外数据与PBPK建模相结合来实现。

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