Matsui Kazuki, Tsume Yasuhiro, Takeuchi Susumu, Searls Amanda, Amidon Gordon L
College of Pharmacy, University of Michigan , 428 Church Street, Ann Arbor, Michigan 48109-1065, United States.
Drug Metabolism and Pharmacokinetics, Research Center, Mochida Pharmaceutical Company Limited , 722 Uenohara, Jimba, Gotemba, Shizuoka 412-8524, Japan.
Mol Pharm. 2017 Apr 3;14(4):1181-1189. doi: 10.1021/acs.molpharmaceut.6b01063. Epub 2017 Mar 3.
Weakly basic drugs exhibit a pH-dependent dissolution profile in the gastrointestinal (GI) tract, which makes it difficult to predict their oral absorption profile. The aim of this study was to investigate the utility of the gastrointestinal simulator (GIS), a novel in vivo predictive dissolution (iPD) methodology, in predicting the in vivo behavior of the weakly basic drug dipyridamole when coupled with in silico analysis. The GIS is a multicompartmental dissolution apparatus, which represents physiological gastric emptying in the fasted state. Kinetic parameters for drug dissolution and precipitation were optimized by fitting a curve to the dissolved drug amount-time profiles in the United States Pharmacopeia apparatus II and GIS. Optimized parameters were incorporated into mathematical equations to describe the mass transport kinetics of dipyridamole in the GI tract. By using this in silico model, intraluminal drug concentration-time profile was simulated. The predicted profile of dipyridamole in the duodenal compartment adequately captured observed data. In addition, the plasma concentration-time profile was also predicted using pharmacokinetic parameters following intravenous administration. On the basis of the comparison with observed data, the in silico approach coupled with the GIS successfully predicted in vivo pharmacokinetic profiles. Although further investigations are still required to generalize, these results indicated that incorporating GIS data into mathematical equations improves the predictability of in vivo behavior of weakly basic drugs like dipyridamole.
弱碱性药物在胃肠道(GI)中呈现出pH依赖性的溶出曲线,这使得预测它们的口服吸收情况变得困难。本研究的目的是探讨胃肠道模拟器(GIS)这一新型体内预测溶出(iPD)方法,在结合计算机模拟分析时预测弱碱性药物双嘧达莫体内行为的效用。GIS是一种多隔室溶出装置,它代表了禁食状态下的生理胃排空情况。通过将曲线拟合到美国药典装置II和GIS中的药物溶解量-时间曲线,优化了药物溶解和沉淀的动力学参数。将优化后的参数纳入数学方程,以描述双嘧达莫在胃肠道中的质量传递动力学。通过使用这个计算机模拟模型,模拟了肠腔内药物浓度-时间曲线。双嘧达莫在十二指肠隔室中的预测曲线充分捕捉到了观察数据。此外,还使用静脉给药后的药代动力学参数预测了血浆浓度-时间曲线。基于与观察数据的比较,结合GIS的计算机模拟方法成功预测了体内药代动力学曲线。尽管仍需要进一步研究以进行推广,但这些结果表明,将GIS数据纳入数学方程可提高像双嘧达莫这样的弱碱性药物体内行为的可预测性。