Guo Cen, Yang Kyunghee, Liao Mingxiang, Xia Cindy Q, Brouwer Kenneth R, Brouwer Kim L R
Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599.
DILIsym Services Inc., Research Triangle Park, North Carolina 27709.
J Pharm Sci. 2017 Sep;106(9):2401-2406. doi: 10.1016/j.xphs.2017.04.054. Epub 2017 Apr 30.
The intracellular unbound inhibitor concentration ([I]) is the most relevant concentration for predicting the inhibition of hepatic efflux transporters. However, the intracellular unbound fraction of inhibitor in hepatocytes (f) is not routinely determined. Studies are needed to evaluate the benefit of measuring f and using [I] versus intracellular total inhibitor concentration ([I]) when predicting inhibitory effects. This study examined the benefit of using [I] to predict hepatocellular bile acid disposition. Cellular total concentrations of taurocholate ([TCA]), a prototypical bile acid, were simulated using pharmacokinetic parameters estimated from sandwich-cultured human hepatocytes. The effect of various theoretical inhibitors was simulated by varying ([I]/ half maximal inhibitory concentration [IC]) values. In addition, the fold change was calculated as the simulated [TCA] when f = 1 divided by the simulated [TCA] when f = 0.5-0.01. The lowest ([I]/IC) value leading to a >2-fold change in [TCA] was chosen as a cutoff, and a framework was developed to categorize risk inhibitors for which the measurement of f is optimal. Fifteen compounds were categorized, 5 of which were compared with experimental observations. Future work is needed to evaluate this framework based on additional experimental data. In conclusion, the benefit of measuring f to predict hepatic efflux transporter-mediated drug-bile acid interactions can be determined a priori.
细胞内未结合抑制剂浓度([I])是预测肝外排转运体抑制作用最相关的浓度。然而,肝细胞中抑制剂的细胞内未结合分数(f)通常并不测定。需要开展研究来评估在预测抑制作用时测量f并使用[I]而非细胞内总抑制剂浓度([I])的益处。本研究考察了使用[I]预测肝细胞胆汁酸处置的益处。使用从三明治培养的人肝细胞估算的药代动力学参数模拟了典型胆汁酸牛磺胆酸盐([TCA])的细胞总浓度。通过改变([I]/半数最大抑制浓度[IC])值来模拟各种理论抑制剂的作用。此外,计算倍数变化,即f = 1时模拟的[TCA]除以f = 0.5 - 0.01时模拟的[TCA]。选择导致[TCA]出现>2倍变化的最低([I]/IC)值作为临界值,并建立了一个框架来对f测量最为合适的风险抑制剂进行分类。对15种化合物进行了分类,其中5种与实验观察结果进行了比较。需要基于更多实验数据开展进一步工作来评估该框架。总之,可以预先确定测量f以预测肝外排转运体介导的药物 - 胆汁酸相互作用的益处。