Department of Pharmaceutical Sciences, University at Buffalo State University of New York, 433 Kapoor Hall, Buffalo, New York, 14260, USA.
Pharm Res. 2013 Mar;30(3):751-60. doi: 10.1007/s11095-012-0917-z. Epub 2012 Nov 15.
To develop a model-based approach for interspecies scaling of the preclinical pharmacokinetics of exenatide and to predict concentration-time profiles in humans.
A target-mediated drug disposition (TMDD) model was simultaneously fit to concentration-time profiles of exenatide over a wide range of intravenous (IV) and subcutaneous (SC) doses obtained from mice, rats, and monkeys. Allometric relationships were incorporated into the model to scale parameters based on species body weight. Human pharmacokinetic profiles following IV and SC administration were simulated using the final model structure and parameter estimates and compared to clinical data.
The final model provided a good simultaneous fit to all animal data and reasonable parameter estimates. Exenatide receptor binding affinity and baseline receptor concentrations were species-dependent. Absorption parameters from rat provided the best prediction of exenatide SC absorption in humans, but good predictions could also be obtained using allometric scaling of preclinical absorption parameters.
A TMDD model combined with allometric scaling was successfully used to simultaneously describe preclinical data for exenatide from three animal species following both IV and SC administration. The majority of model parameters could be shared among the animal species and further used for projecting exenatide behavior in humans.
开发一种基于模型的方法,用于外泌肽的临床前药代动力学的种间缩放,并预测人体中的浓度-时间曲线。
通过将目标介导的药物处置(TMDD)模型同时拟合到从小鼠、大鼠和猴子中获得的外泌肽在广泛的静脉内(IV)和皮下(SC)剂量下的浓度-时间曲线,将种间体重的比例关系纳入到模型中以缩放参数。使用最终的模型结构和参数估计模拟人体 IV 和 SC 给药后的药代动力学曲线,并将其与临床数据进行比较。
最终的模型很好地同时拟合了所有动物数据,并得到了合理的参数估计。外泌肽受体结合亲和力和基线受体浓度是物种依赖性的。来自大鼠的吸收参数可对外泌肽 SC 吸收在人体中的吸收提供最佳预测,但也可以使用临床前吸收参数的比例缩放来获得良好的预测。
TMDD 模型结合比例缩放,成功地用于同时描述来自三种动物物种的外泌肽在 IV 和 SC 给药后的临床前数据。大多数模型参数可以在动物物种之间共享,并进一步用于预测外泌肽在人体中的行为。