首页> 外文期刊>Drug Metabolism and Disposition: The Biological Fate of Chemicals >In Silico Prediction of the Absorption and Disposition of Cefadroxil in Humans using an Intestinal Permeability Method Scaled from Humanized PepT1 Mice
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In Silico Prediction of the Absorption and Disposition of Cefadroxil in Humans using an Intestinal Permeability Method Scaled from Humanized PepT1 Mice

机译:用肠道渗透法从人源Pept1小鼠中缩放的肠道渗透法在人类中对人类的吸收和处置的基石预测

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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 (huPepT1) 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 C-max 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 huPepT1 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.
机译:基于动物数据,难以预测人类新化学实体的药代动力学和等离子体浓度 - 时间谱。一些药代动力学参数,例如分布的间隙和分布体积,可以从啮齿动物,哺乳动物和非人的灵长类动物分组以良好的成功缩放。然而,预测实验药物候选者的口腔药代动力学是更具挑战性的。在本研究中,我们在硅藻中获得的肠道渗透性和大鼠,野生型(WT)和人源化Pept1(Hupept1)小鼠的原位估计,以预测头孢德西,口服给药的模型化合物的全身暴露,在各种条件下。使用胃泡沫模拟软件程序(模拟加,兰开斯特,加利福尼亚州),我们发现使用肠道渗透率估计更好地预测来自时间零至最后可测量的肠碎胞嘧啶的最后可测量浓度的C-Max和面积。来自Hppept1的细分和Jejunal比来自WT小鼠,并且基于硅和大鼠估算的肠道渗透率给出了更糟的预测。我们还观察到,口服剂量升级(即5,15和30mg / kg Cefadroxil),药物 - 药物相互作用研究(即5mg / kg口服Cefadroxil加45mg / kg口服),对头孢唑克利进行准确的预测头孢甲蛋白)和口腔多剂量研究[即每6小时500mg(6.7mg / kg)cefadroxil]。最后,在5mg / kg口服剂量后,在小肠的十二指肠和jejunal段中被最多的大豆群和jejunal段吸收。因此,通过组合人源化的小鼠模型和硅软件,本研究提供了一种新的策略,可在首先将临床前药代动力学数据转化为口腔药物暴露的新策略。

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