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Compartmental models for apical efflux by p-glycoprotein: Part 2 - A theoretical study on transporter kinetic parameters

机译:p-糖蛋白的心室房室间隔模型:第2部分-转运蛋白动力学参数的理论研究

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Purpose: The impact of efflux transporters in intracellular concentrations of a drug can be predicted with modeling techniques. In Part 1, several compartmental models were developed and evaluated. The goal of Part 2 was to apply these models to the characterization and interpretation of saturation kinetic data. Methods: The compartmental models from Part 1were used to evaluate a previously published dataset from cell lines expressing varying levels of P-glycoprotein. Kinetic parameters for the transporter were estimated and compared across models. Results: Fits and errors for all compartmental models were identical. All compartmental models predicted more consistent parameters than the Michaelis-Menten model. The 5-compartment model with efflux out of the membrane predicted differential impact of P-gp upon apical versus basolateral drug exposure. Finally, the saturable kinetics of active efflux along with a permeability barrier was modeled to delineate a relationship between intracellular concentration with or without active efflux versus donor concentration. This relationship was not a rectangular hyperbola, but instead was shown to be a quadratic function. Conclusions: One approach to estimate an in vivo transporter effect is to first model an intracellular Km value from in vitro data, and use this value along with the appropriate tissue transporter expression levels and relative surface area to calculate the relevant apparent Km (or Ki) values. Together with the results from Part 1, these studies suggest that compartmental models can provide a path forward to better utilize in vitro transporter data for in vivo predictions such as physiologically based pharmacokinetic modeling.
机译:目的:外排转运蛋白对药物细胞内浓度的影响可以通过建模技术进行预测。在第1部分中,开发并评估了几个隔间模型。第2部分的目标是将这些模型应用于饱和动力学数据的表征和解释。方法:使用第1部分中的区室模型评估表达不同水平P-糖蛋白的细胞系的先前发布的数据集。估计了转运蛋白的动力学参数,并在各个模型之间进行了比较。结果:所有隔室模型的拟合度和误差均相同。与Michaelis-Menten模型相比,所有区室模型都预测出更一致的参数。膜外流的5室模型预测了P-gp对根尖与基底外侧药物暴露的不同影响。最后,对主动流出物的饱和动力学以及渗透屏障进行了建模,以描绘有或没有主动流出物的细胞内浓度与供体浓度之间的关系。该关系不是矩形双曲线,而是显示为二次函数。结论:一种评估体内转运蛋白作用的方法是首先根据体外数据对细胞内Km值进行建模,然后使用该值以及适当的组织转运蛋白表达水平和相对表面积来计算相关的表观Km(或Ki)价值观。连同第1部分的结果一起,这些研究表明,区室模型可以为更好地利用体外转运蛋白数据进行体内预测(例如基于生理学的药代动力学建模)提供一条途径。

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