College of Pharmacy, University of New England, Portland, Maine, 04103, USA.
Celgene Corp, Summit, New Jersey, 07901, USA.
AAPS J. 2017 Jul;19(4):1084-1090. doi: 10.1208/s12248-017-0065-9. Epub 2017 Mar 20.
In a recent food effect clinical study, the authors concluded that a meal consisting of ≥500 kcal, regardless of fat content, produced the maximal bioavailability for ziprasidone. Using GastroPlus™, a commercially available pharmacokinetic simulation software, a semiphysiological model-a kind of physiologically based pharmacokinetic (PBPK) absorption model-was developed that could predict the concentration-time profiles when ziprasidone was administered with any one of the five test meals or fasting. Ziprasidone intravenous pharmacokinetics and oral absorption permeability were determined from clinical studies following the intravenous and duodenal infusion of ziprasidone to volunteers. From the detailed dietary information of each meal provided in the previously published food effect study, the stomach pH, volume, and gastric emptying could be predicted. Incorporating these meal-specific parameters into the model improved the predictions beyond the default fed/fasted parameters commonly used in the software. Compared to the default models, the improved models resulted in an improved prediction of the average ziprasidone concentration-time profile for each meal. Using this type of semiphysiological absorption model, we have shown that the dietary contents of the meals should be taken into account to predict food effects for ziprasidone and perhaps other BCS class I or II compounds.
在最近的一项食物影响临床研究中,作者得出结论,无论脂肪含量如何,含有≥500 卡路里的膳食均可使齐拉西酮达到最大生物利用度。使用 GastroPlus™,一种市售的药代动力学模拟软件,开发了一种半生理模型——一种基于生理的药代动力学(PBPK)吸收模型——可以预测齐拉西酮与五种测试餐之一或禁食时的浓度-时间曲线。齐拉西酮的静脉药代动力学和口服吸收渗透性是通过志愿者静脉和十二指肠输注齐拉西酮的临床研究确定的。从之前发表的食物影响研究中提供的每顿饭的详细饮食信息,可以预测胃 pH 值、体积和胃排空。将这些特定于膳食的参数纳入模型可以提高预测值,超过软件中常用的默认进食/禁食参数。与默认模型相比,改进后的模型可更准确地预测每种膳食的齐拉西酮平均浓度-时间曲线。使用这种半生理吸收模型,我们表明应考虑膳食内容以预测齐拉西酮和其他 BCS 类别 I 或 II 化合物的食物效应。