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Simcyp模拟器v21中CYP2C19酶丰度多态性设置的性能验证

Performance Verification of CYP2C19 Enzyme Abundance Polymorphism Settings within the Simcyp Simulator v21.

作者信息

Sychterz Caroline, Gardner Iain, Chiang Manting, Rachumallu Ramakrishna, Neuhoff Sibylle, Perera Vidya, Merali Samira, Schmidt Brian J, Gaohua Lu

机构信息

Clinical Pharmacology & Pharmacometrics, Bristol Myers Squibb, Lawrenceville, NJ 08540, USA.

Certara UK Ltd., Simcyp Division, Sheffield S1 2BJ, UK.

出版信息

Metabolites. 2022 Oct 20;12(10):1001. doi: 10.3390/metabo12101001.

Abstract

Physiologically based pharmacokinetic (PBPK) modeling has a number of applications, including assessing drug−drug interactions (DDIs) in polymorphic populations, and should be iteratively refined as science progresses. The Simcyp Simulator is annually updated and version 21 included updates to hepatic and intestinal CYP2C19 enzyme abundance, including addition of intermediate and rapid metabolizer phenotypes and changes to the ultra-rapid metabolizer enzyme abundance, with implications for population clearance and DDI predictions. This work details verification of the updates with sensitive CYP2C19 substrates, omeprazole and lansoprazole, using available clinical data from literature. Multiple assessments were performed, including recovery of areas under the concentration-time curve (AUC) and Cmax from compiled datasets for each drug, recovery of victim DDI ratios with CYP2C19 and/or CYP3A4 inhibition and recovery of relative exposure between phenotypes. Simulated data were within respective acceptance criteria for >80% of omeprazole AUC values, >70% of lansoprazole AUC and Cmax, >60% of AUC and Cmax DDI ratios and >80% of exposure ratios between different phenotypes. Recovery of omeprazole Cmax was lower (>50−70% within 2-fold) and possibly attributed to the variety of formulations used in the clinical dataset. Overall, the results demonstrated that the updated data used to parameterize CYP2C19 phenotypes reasonably described the pharmacokinetics of omeprazole and lansoprazole in genotyped or phenotyped individuals.

摘要

基于生理的药代动力学(PBPK)模型有许多应用,包括评估多态性人群中的药物相互作用(DDIs),并且应随着科学的进步进行迭代完善。Simcyp模拟器每年更新,第21版包括对肝脏和肠道CYP2C19酶丰度的更新,包括增加中间代谢型和快速代谢型表型以及改变超快代谢型酶丰度,这对群体清除率和药物相互作用预测有影响。这项工作使用文献中的现有临床数据,详细验证了对敏感的CYP2C19底物奥美拉唑和兰索拉唑的更新。进行了多项评估,包括从每种药物的汇总数据集中恢复浓度-时间曲线(AUC)下的面积和Cmax,恢复CYP2C19和/或CYP3A4抑制下的受害者药物相互作用比率以及不同表型之间的相对暴露恢复。模拟数据在各自的接受标准范围内,对于>80%的奥美拉唑AUC值、>70%的兰索拉唑AUC和Cmax、>60%的AUC和Cmax药物相互作用比率以及>80%的不同表型之间的暴露比率。奥美拉唑Cmax的恢复较低(在2倍范围内>50 - 70%),可能归因于临床数据集中使用的制剂种类。总体而言,结果表明用于参数化CYP2C19表型的更新数据合理地描述了奥美拉唑和兰索拉唑在基因分型或表型分型个体中的药代动力学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ebf/9607610/e7479a4d702f/metabolites-12-01001-g001.jpg

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