Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan.
Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan
Drug Metab Dispos. 2019 Mar;47(3):173-183. doi: 10.1124/dmd.118.084236. Epub 2018 Dec 28.
It is difficult to predict the pharmacokinetics and plasma concentration-time profiles of new chemical entities in humans based on animal data. Some pharmacokinetic parameters, such as clearance and volume of distribution, can be scaled allometrically from rodents, mammals, and nonhuman primates with good success. However, it is far more challenging to predict the oral pharmacokinetics of experimental drug candidates. In the present study, we used in situ estimates of intestinal permeability, obtained in silico and from rat, wild-type (WT), and humanized PepT1 () mice, to predict the systemic exposure of cefadroxil, an orally administered model compound, under a variety of conditions. Using the GastroPlus simulation software program (Simulations Plus, Lancaster, CA), we found that the and area under the plasma concentration-time curve from time zero to the last measurable concentration of cefadroxil were better predicted using intestinal permeability estimates (both segmental and jejunal) from than from WT mice, and that intestinal permeabilities based on in silico and rat estimates gave worse predictions. We also observed that accurate predictions were possible for cefadroxil during oral dose escalation (i.e., 5, 15, and 30 mg/kg cefadroxil), a drug-drug interaction study (i.e., 5 mg/kg oral cefadroxil plus 45 mg/kg oral cephalexin), and an oral multiple dose study [i.e., 500 mg (6.7 mg/kg) cefadroxil every 6 hours]. Finally, the greatest amount of cefadroxil was absorbed in duodenal and jejunal segments of the small intestine after a 5 mg/kg oral dose. Thus, by combining a humanized mouse model and in silico software, the present study offers a novel strategy for better translating preclinical pharmacokinetic data to oral drug exposure during first-in-human studies.
基于动物数据预测新化学实体在人体内的药代动力学和血浆浓度-时间曲线是困难的。一些药代动力学参数,如清除率和分布容积,可以通过啮齿动物、哺乳动物和非人类灵长类动物的体表面积进行成功地外推。然而,预测实验性候选药物的口服药代动力学要困难得多。在本研究中,我们使用原位估计的肠道通透性,通过计算机模拟和野生型(WT)和人源化 PepT1()小鼠获得,来预测口服给予模型化合物头孢羟氨苄的全身暴露量,在各种条件下。使用 GastroPlus 模拟软件程序(Simulations Plus,Lancaster,CA),我们发现使用来自 的肠道通透性估计值(包括节段和空肠)可以更好地预测头孢羟氨苄的和从时间零到最后可测量的头孢羟氨苄血浆浓度-时间曲线下面积,而基于计算机模拟和大鼠估计的肠道通透性则给出了较差的预测。我们还观察到,在口服剂量递增(即 5、15 和 30 mg/kg 头孢羟氨苄)、药物相互作用研究(即 5 mg/kg 口服头孢羟氨苄加 45 mg/kg 口服头孢氨苄)和口服多次剂量研究[即 500 mg(6.7 mg/kg)头孢羟氨苄每 6 小时一次]期间,对头孢羟氨苄进行准确预测是可能的。最后,在口服 5 mg/kg 剂量后,头孢羟氨苄在小肠的十二指肠和空肠段吸收最多。因此,通过结合人源化小鼠模型和计算机软件,本研究提供了一种新策略,可以更好地将临床前药代动力学数据转化为首次人体研究中的口服药物暴露。