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首页> 外文期刊>Journal of pharmaceutical sciences. >Optimization of a parallel artificial membrane permeability assay for the fast and simultaneous prediction of human intestinal absorption and plasma protein binding of drug candidates: application to dibenz(b,f)azepine-5-carboxamide derivatives.
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Optimization of a parallel artificial membrane permeability assay for the fast and simultaneous prediction of human intestinal absorption and plasma protein binding of drug candidates: application to dibenz(b,f)azepine-5-carboxamide derivatives.

机译:并行人工膜通透性测定的优化,用于快速和同时预测候选药物的人体肠道吸收和血浆蛋白结合:在dibenz(b,f)azepine-5-carboxamide衍生物中的应用。

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摘要

Parallel artificial membrane permeability assay (PAMPA) has been successfully applied by pharmaceutical industries as high-throughput technique capable of screening compounds for passive oral absorption. Herein, the possible applicability of this assay to predict simultaneously biodistribution parameters such as plasma protein binding (PPB) and apparent volume of distribution (VD) was investigated for the first time. Apparent permeability (P(app) ) of 18 reference drugs was determined by nine PAMPA conditions and compared with the corresponding intestinal absorption fraction (Fa), PPB, and VD in humans. In all the models, P(app) was not correlated with VD; however, it was correlated with Fa and PPB. In these cases, the best correlations (r >/= 0.8953) were found when using a membrane of 2% of l-alpha-phosphatidylcholine, at pH 6.5/7.4 for donor/acceptor compartments. Under these conditions, good correlation with traditional PAMPA (r = 0.9633) and Caco-2 models (r = 0.9246) were also achieved. This method correctly predicted compounds' permeability and was robust enough to distinguish compounds with high Fa (P(app) >/= 1.1 x 10(-6) cm/s) and PPB (P(app) >/= 1.0 x 10(-5) cm/s), with no false positives or negatives recorded. In addition, ultrafiltration method was used to determine the PPB of 10 tested derivatives of dibenz[b,f]azepine-5-carboxamide, which were also assessed through the new PAMPA model developed herein, and equal classifications were achieved.
机译:并行人工膜通透性测定法(PAMPA)已作为一种高通量技术被制药工业成功应用,该技术能够筛选用于被动口服吸收的化合物。在本文中,首次研究了该测定法同时预测生物分布参数(如血浆蛋白结合(PPB)和表观分布体积(VD))的可能适用性。通过9种PAMPA条件确定18种参考药物的表观通透性(P(app)),并将其与人体中相应的肠道吸收分数(Fa),PPB和VD进行比较。在所有模型中,P(app)与VD均不相关。但是,它与Fa和PPB相关。在这些情况下,对于供体/受体区室,在pH 6.5 / 7.4下使用2%的1-α-磷脂酰胆碱膜时,发现最佳相关性(r> / = 0.8953)。在这些条件下,与传统的PAMPA(r = 0.9633)和Caco-2模型(r = 0.9246)也具有良好的相关性。该方法可正确预测化合物的渗透性,并且具有足够的鲁棒性以区分高Fa(P(app)> / = 1.1 x 10(-6)cm / s)和PPB(P(app)> / = 1.0 x 10( -5)cm / s),没有假阳性或阴性记录。此外,使用超滤法测定了10种经测试的苯并[b,f]氮杂-5-羧酰胺衍生物的PPB,这些衍生物也通过本文开发的新PAMPA模型进行了评估,并获得了相同的分类。

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