Willmann Stefan, Edginton Andrea N, Dressman Jennifer B
Bayer Technology Services GmbH, Process Technology/Systems Biology, Building E41, Leverkusen, Germany.
Pharm Res. 2007 Jul;24(7):1275-82. doi: 10.1007/s11095-007-9247-y. Epub 2007 Mar 21.
The development and validation of a physiology-based absorption model for orally administered drugs in monkeys is described.
Physiological parameters affecting intestinal transit and absorption of an orally administered drug in monkeys have been collected from the literature and implemented in a physiological model for passive absorption previously developed for rats and humans. Predicted fractions of dose absorbed have been compared to experimentally observed values for a set of N = 37 chemically diverse drugs. A sensitivity analysis was performed to assess the influence of various physiological model parameters on the predicted fraction dose absorbed.
A Pearson's correlation coefficient of 0.94 (95% confidence interval: [0.88, 0.97]; p < 0.0001) between the predicted and observed fraction dose absorbed in monkeys was obtained for compounds undergoing non-solubility limited passive absorption (N = 29). The sensitivity analysis revealed that the predictions of fractions dose absorbed in monkeys are very sensitive with respect to inter-individual variations of the small intestinal transit time.
The model is well suited to predict the fraction dose absorbed of passively absorbed compounds after oral administration and to assess the influence of inter-individual physiological variability on oral absorption in monkeys.
描述一种基于生理学的猴口服给药吸收模型的开发与验证。
从文献中收集了影响猴口服药物肠道转运和吸收的生理参数,并将其应用于先前为大鼠和人类开发的被动吸收生理模型中。将一组N = 37种化学结构不同的药物的预测吸收剂量分数与实验观察值进行了比较。进行了敏感性分析,以评估各种生理模型参数对预测吸收剂量分数的影响。
对于经历非溶解度限制被动吸收的化合物(N = 29),在猴中预测和观察到的吸收剂量分数之间获得了Pearson相关系数为0.94(95%置信区间:[0.88, 0.97];p < 0.0001)。敏感性分析表明,猴中吸收剂量分数的预测对小肠转运时间的个体间差异非常敏感。
该模型非常适合预测口服给药后被动吸收化合物的吸收剂量分数,并评估个体间生理变异性对猴口服吸收的影响。