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人体空肠对药物的通透性(体内)与实验和理论推导参数的相关性。一种多变量数据分析方法。

Correlation of human jejunal permeability (in vivo) of drugs with experimentally and theoretically derived parameters. A multivariate data analysis approach.

作者信息

Winiwarter S, Bonham N M, Ax F, Hallberg A, Lennernäs H, Karlén A

机构信息

Department of Organic Pharmaceutical Chemistry and Department of Pharmacy, Uppsala Biomedical Centre, Uppsala University, SE-751 23 Uppsala, Sweden.

出版信息

J Med Chem. 1998 Dec 3;41(25):4939-49. doi: 10.1021/jm9810102.

DOI:10.1021/jm9810102
PMID:9836611
Abstract

The effective permeability (Peff) in the human jejunum (in vivo) of 22 structurally diverse compounds was correlated with both experimentally determined lipophilicity values and calculated molecular descriptors. The permeability data were previously obtained by using a regional in vivo perfusion system in the proximal jejunum in humans as part of constructing a biopharmaceutical classification system for oral immediate-release products. pKa, log P, and, where relevant, log Pion values were determined using the pH-metric technique. On the basis of these experiments, log D values were calculated at pH 5.5, 6.5, and 7.4. Multivariate data analysis was used to derive models that correlate passive intestinal permeability to physicochemical descriptors. The best model obtained, based on 13 passively transcellularly absorbed compounds, used the variables HBD (number of hydrogen bond donors), PSA (polar surface area), and either log D5.5 or log D6.5 (octanol/water distribution coefficient at pH 5.5 and 6.5, respectively). Statistically good models for prediciting human in vivo Peff values were also obtained by using only HBD and PSA or HBD, PSA, and CLOGP. These models can be used to predict passive intestinal membrane diffusion in humans for compounds that fit within the defined property space. We used one of the models obtained above to predict the log Peff values for an external validation set consisting of 34 compounds. A good correlation with the absorption data of these compounds was found.

摘要

22种结构各异的化合物在人空肠(体内)的有效渗透率(Peff)与实验测定的亲脂性值和计算得到的分子描述符相关。渗透率数据先前是通过使用人体近端空肠的区域体内灌注系统获得的,作为构建口服速释产品生物药剂学分类系统的一部分。使用pH滴定技术测定pKa、log P以及相关情况下的log Pion值。基于这些实验,计算出pH 5.5、6.5和7.4时的log D值。采用多变量数据分析得出将被动肠道渗透率与物理化学描述符相关联的模型。基于13种被动跨细胞吸收的化合物获得的最佳模型使用了变量HBD(氢键供体数量)、PSA(极性表面积)以及log D5.5或log D6.5(分别为pH 5.5和6.5时的正辛醇/水分配系数)。仅使用HBD和PSA或HBD、PSA和CLOGP也获得了预测人体体内Peff值的统计学良好模型。这些模型可用于预测符合定义属性空间的化合物在人体中的被动肠膜扩散。我们使用上述获得的一个模型预测了由34种化合物组成的外部验证集的log Peff值。发现与这些化合物的吸收数据具有良好的相关性。

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