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Intracellular Unbound Concentrations of Atorvastatin and Bosentan: Prediction Using Modeling and Simulation, and Effect of Metabolism and Transport

机译:阿托伐他汀和波生坦的细胞内未结合浓度:使用建模和仿真预测,以及代谢和运输的影响。

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摘要

Accurate prediction of target activity of a drug and rational design of dosing regimen requires knowledge of concentration-time course of the drug at the target. In vitro in vivo correlation (IVIVC) successfully predicts activity and pharmacokinetics of some drugs but is unsuccessful with many others due to poor permeability, transporter activity and use of plasma drug concentrations for determination of PK parameters. According to the free drug hypothesis, at steady state, the unbound drug concentration on either side of a biomembrane is equal. In this case, unbound plasma drug concentration acts as a good surrogate for unbound cell concentrations. However, presence of transporters coupled with poor membrane permeability result in violation of the free drug hypothesis. This results in failure of IVIVC and subsequent discrepancies in the prediction of target activity of pharmacokinetic predictions. Since it is the unbound drug that is capable of exerting the pharmacodynamic effect and available for intracellular metabolizing and transport machinery, knowledge of the unbound concentration inside the cell is very important. Experimental measurement of intracellular unbound concentration is very difficult due to the small size of the cell and complex cellular disposition resulting from activity of metabolizing enzymes, transporters, target binding and organelle binding within the cell. The present study, therefore, aims at predicting the intracellular unbound concentrations using modeling and simulation approach.;Liver perfusion experiments were conducted in male Sprague Dawley rats with uptake transporter substrates atorvastatin and bosentan, in presence and absence of inhibitors of active uptake and metabolism, to study tissue distribution of these drugs in presence of uptake transport and metabolism. The outflow perfusate data thus obtained were used as input for the explicit membrane model for liver to predict the unbound intracellular concentrations of atorvastatin and bosentan. Similarly, in vivo pharmacokinetic experiments were also conducted in rats in presence and absence of inhibitors of active uptake and metabolism. The data obtained were used as input for hybrid compartmental models to predict unbound concentrations of these drugs upon intravenous dosing. Modeling exercises were also conducted to study the differential impact of inhibition of active uptake on plasma versus unbound cell concentrations. The effect of uptake transport on the induction potential of bosentan was studied in sandwich cultured rat hepatocytes and in in vivo studies in rats.;Inhibition of active uptake in the liver perfusion studies increased the outflow perfusate concentrations, decreased the amount recovered in the bile for atorvastatin and bosentan, and decreased the liver concentrations for atorvastatin. The liver concentrations for bosentan with inhibition of active uptake were not different than the control group. Inhibition of active uptake in the in vivo studies also decreased the systemic clearance of atorvastatin and bosentan. Inhibition of metabolism decreased the systemic clearance of bosentan. It was observed that the perpetrators for metabolism and transport used for this project were not specific for the pathway of interest.;Active uptake appeared to be of major significance for disposition of atorvastatin. The model predicted unbound concentrations of atorvastatin at the end of 50 min perfusion were about 7-fold higher in presence of active uptake than in absence of active uptake. On the other hand, inhibition of metabolism resulted in 1.26 fold increase in unbound atorvastatin concentrations inside the cell. Modeling the in vivo data indicated that atorvastatin disposition was not affected until 90% inhibition of active uptake clearance was achieved. However, any further inhibition of active uptake clearance had a largely increased the exposure of this drug. The predicted unbound intracellular bosentan concentrations in presence of active uptake were only marginally higher than in the absence of active uptake, possibly due to inhibition of apical efflux of this drug by the uptake inhibitor, rifampin, used in this study. The modeling exercise showed that in the in vivo studies, BOS disposition was sensitive to intrinsic uptake clearance until 99% inhibition was achieved. However, any further inhibition resulted in minimal change in the exposure of this drug. The differential sensitivity of atorvastatin and bosentan exposure for active uptake clearance was thought to be due to the different diffusional clearance for these drugs. For both atorvastatin and bosentan, simulations indicated that any extent of inhibition of the active uptake clearance did not affect the cell exposure of these drugs.;In vitro induction of bosentan could not be characterized in sandwich cultured rat hepatocytes. Bosentan appeared to be a weak inducer of cyp3a mediated metabolism in rats.;In summary, the impact of uptake transport and metabolism on the systemic and intracellular disposition of atorvastatin and bosentan was studied. Liver perfusion and in vivo pharmacokinetic studies along with explicit membrane models were successfully used to predict unbound cell concentrations of atorvastatin and bosentan.
机译:准确预测药物的靶标活性和合理设计给药方案需要了解药物在靶标上的浓缩时间过程。体外体内相关性(IVIVC)成功地预测了某些药物的活性和药代动力学,但由于渗透性差,转运蛋白活性差和血浆药物浓度用于测定PK参数,许多其他药物均未成功。根据自由药物假说,在稳态下,生物膜两侧未结合的药物浓度相等。在这种情况下,未结合的血浆药物浓度可作为未结合细胞浓度的良好替代品。但是,转运蛋白的存在与膜通透性差会导致违反游离药物假说。这导致IVIVC失败,并随后在药代动力学预测的目标活性的预测中出现差异。由于它是能够发挥药效作用并且可用于细胞内代谢和转运机制的未结合药物,因此了解细胞内未结合浓度非常重要。由于细胞的小尺寸和由于细胞内代谢酶,转运蛋白,靶标结合和细胞器结合的活性而导致的复杂细胞配置,因此细胞内未结合浓度的实验测量非常困难。因此,本研究旨在通过建模和模拟方法来预测细胞内的未结合浓度。在有或没有活性吸收和代谢抑制剂的情况下,在具有转运蛋白底物阿托伐他汀和波生坦的雄性Sprague Dawley大鼠中进行肝灌注实验,研究存在摄取转运和代谢的情况下这些药物的组织分布。如此获得的流出灌流液数据用作肝脏明确膜模型的输入,以预测阿托伐他汀和波生坦的未结合细胞内浓度。同样,在有或没有活性摄取和代谢抑制剂存在的大鼠中也进行了体内药代动力学实验。获得的数据用作混合区室模型的输入,以预测静脉内给药后这些药物的未结合浓度。还进行了建模练习,以研究抑制主动摄取对血浆和未结合细胞浓度的不同影响。在三明治培养的大鼠肝细胞和大鼠的体内研究中研究了摄取转运对波生坦诱导潜力的影响;在肝脏灌注研究中抑制主动摄取增加了流出灌流液的浓度,降低了胆汁中回收的量。阿托伐他汀和波生坦,降低了阿托伐他汀的肝脏浓度。抑制活性摄取的波生坦的肝脏浓度与对照组无差异。在体内研究中抑制主动摄取也降低了阿托伐他汀和波生坦的全身清除率。抑制代谢会降低波生坦的全身清除率。观察到,用于该项目的新陈代谢和运输的肇事者并不特定于感兴趣的途径。主动摄取似乎对处置阿托伐他汀具有重要意义。该模型预测,在存在主动吸收的情况下,灌注50分钟后未结合的阿托伐他汀浓度比没有主动吸收的情况高约7倍。另一方面,对代谢的抑制导致细胞内未结合的阿托伐他汀浓度增加1.26倍。对体内数据进行建模表明,在达到90%的活性摄取清除抑制之前,阿托伐他汀的配置不会受到影响。但是,对主动摄取清除的任何进一步抑制都大大增加了该药物的暴露。在存在主动摄取的情况下,预测的未结合细胞内波生坦浓度仅略高于在没有主动摄取的情况下,这可能是由于本研究中使用的摄取抑制剂利福平抑制了该药物的顶端外排。建模研究表明,在体内研究中,BOS处置对内在摄取清除很敏感,直到达到99%抑制为止。但是,任何进一步的抑制作用都会导致该药物暴露量的最小变化。阿托伐他汀和波生坦暴露对主动摄取清除的不同敏感性被认为是由于这些药物的扩散清除不同。对于阿托伐他汀和波生坦,模拟表明对活性摄取清除的任何程度的抑制都不会影响这些药物的细胞暴露。在夹心培养的大鼠肝细胞中无法表征波生坦的体外诱导。波生坦似乎是大鼠中cyp3a介导的代谢的弱诱导剂。,研究了摄取转运和代谢对阿托伐他汀和波生坦的全身和细胞内处置的影响。肝灌注和体内药代动力学研究以及明确的膜模型已成功用于预测阿托伐他汀和波生坦的未结合细胞浓度。

著录项

  • 作者

    Kulkarni, Priyanka R.;

  • 作者单位

    Temple University.;

  • 授予单位 Temple University.;
  • 学科 Pharmaceutical sciences.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 277 p.
  • 总页数 277
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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