Lee Jong Bong, Zgair Atheer, Taha Dhiaa A, Zang Xiaowei, Kagan Leonid, Kim Tae Hwan, Kim Min Gi, Yun Hwi-Yeol, Fischer Peter M, Gershkovich Pavel
School of Pharmacy, University of Nottingham, Nottingham, UK.
School of Pharmacy, University of Nottingham, Nottingham, UK; College of Pharmacy, University of Anbar, Anbar, Iraq.
Eur J Pharm Biopharm. 2017 May;114:38-42. doi: 10.1016/j.ejpb.2016.12.027. Epub 2017 Jan 12.
In this study, Caco-2 permeability results from different laboratories were compared. Six different sets of apparent permeability coefficient (P) values reported in the literature were compared to experimental P obtained in our laboratory. The differences were assessed by determining the root mean square error (RMSE) values between the datasets, which reached levels as high as 0.581 for the training set compounds, i.e. ten compounds with known effective human permeability (P). The consequences of these differences in P for prediction of oral drug absorption were demonstrated by introducing the P into the absorption and pharmacokinetics simulation software application GastroPlus™ for prediction of the fraction absorbed (F) in humans using calibrated "user-defined permeability models". The RMSE were calculated to assess the differences between the simulated F and experimental values reported in the literature. The RMSE for F simulated with the permeability model calibrated using experimental P from our laboratory was 0.128. When the calibration was performed using P from literature datasets, the RMSE values for F were higher in all cases except one. This study shows quantitative lab-to-lab variability of Caco-2 permeability results and the potential consequences this can have in the use of these results for predicting intestinal absorption of drugs.
在本研究中,对来自不同实验室的Caco-2通透性结果进行了比较。将文献中报道的六组不同的表观通透系数(P)值与我们实验室获得的实验性P值进行了比较。通过确定数据集之间的均方根误差(RMSE)值来评估差异,对于训练集化合物(即十种具有已知人体有效通透性(P)的化合物),该值高达0.581。通过将P引入吸收和药代动力学模拟软件应用程序GastroPlus™中,使用校准的“用户定义通透性模型”预测人体中的吸收分数(F),证明了这些P差异对口服药物吸收预测的影响。计算RMSE以评估模拟的F与文献中报道的实验值之间的差异。使用我们实验室的实验性P校准的通透性模型模拟的F的RMSE为0.128。当使用文献数据集的P进行校准时,除一种情况外,所有情况下F的RMSE值都更高。本研究显示了Caco-2通透性结果在实验室间的定量变异性,以及这可能对将这些结果用于预测药物肠道吸收产生的潜在影响。