Physiologically based pharmacokinetic modeling of CYP2C8 substrate rosiglitazone and its metabolite to predict metabolic drug-drug interaction

IF 2.7 4区 医学 Q2 PHARMACOLOGY & PHARMACY
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引用次数: 0

Abstract

Rosiglitazone is an activator of nuclear peroxisome proliferator-activated (PPAR) receptor gamma used in the treatment of type 2 diabetes mellitus. The elimination of rosiglitazone occurs mainly via metabolism, with major contribution by enzyme cytochrome P450 (CYP) 2C8. Primary routes of rosiglitazone metabolism are N-demethylation and hydroxylation. Modulation of CYP2C8 activity by co-administered drugs lead to prominent changes in the exposure of rosiglitazone and its metabolites. Here, we attempt to develop mechanistic parent-metabolite physiologically based pharmacokinetic (PBPK) model for rosiglitazone. Our goal is to predict potential drug-drug interaction (DDI) and consequent changes in metabolite N-desmethyl rosiglitazone exposure. The PBPK modeling was performed in the PKSim® software using clinical pharmacokinetics data from literature. The contribution to N-desmethyl rosiglitazone formation by CYP2C8 was delineated using vitro metabolite formation rates from recombinant enzyme system. Developed model was verified for prediction of rosiglitazone DDI potential and its metabolite exposure based on observed clinical DDI studies. Developed model exhibited good predictive performance both for rosiglitazone and N-desmethyl rosiglitazone respectively, evaluated based on commonly acceptable criteria. In conclusion, developed model helps with prediction of CYP2C8 DDI using rosiglitazone as a substrate, as well as changes in metabolite exposure. In vitro data for metabolite formation can be successfully utilized to translate to in vivo conditions.

基于生理学的 CYP2C8 底物罗格列酮及其代谢物的药代动力学模型,以预测代谢药物与药物之间的相互作用。
罗格列酮是一种核过氧化物酶体增殖激活(PPAR)受体γ的激活剂,用于治疗2型糖尿病。罗格列酮主要通过新陈代谢排出体外,其中细胞色素 P450 (CYP) 2C8 酶的作用最为重要。罗格列酮的主要代谢途径是 N-去甲基化和羟基化。合用药物对 CYP2C8 活性的调节会导致罗格列酮及其代谢物的暴露量发生显著变化。在此,我们尝试为罗格列酮开发基于生理学药代动力学(PBPK)的母体-代谢物机理模型。我们的目标是预测潜在的药物相互作用(DDI)以及代谢物 N-去甲基罗格列酮暴露量的相应变化。利用文献中的临床药代动力学数据,在 PKSim® 软件中进行了 PBPK 建模。利用重组酶系统的体外代谢物形成率,划定了 CYP2C8 对 N-去甲基罗格列酮形成的贡献。根据观察到的临床 DDI 研究结果,验证了所开发的模型可用于预测罗格列酮的 DDI 潜力及其代谢物暴露。根据普遍接受的标准进行评估,所开发的模型对罗格列酮和 N-去甲基罗格列酮分别表现出良好的预测性能。总之,所开发的模型有助于预测以罗格列酮为底物的 CYP2C8 DDI 以及代谢物暴露的变化。代谢物形成的体外数据可成功用于体内条件。
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来源期刊
CiteScore
4.80
自引率
9.50%
发文量
50
审稿时长
69 days
期刊介绍: DMPK publishes original and innovative scientific papers that address topics broadly related to xenobiotics. The term xenobiotic includes medicinal as well as environmental and agricultural chemicals and macromolecules. The journal is organized into sections as follows: - Drug metabolism / Biotransformation - Pharmacokinetics and pharmacodynamics - Toxicokinetics and toxicodynamics - Drug-drug interaction / Drug-food interaction - Mechanism of drug absorption and disposition (including transporter) - Drug delivery system - Clinical pharmacy and pharmacology - Analytical method - Factors affecting drug metabolism and transport - Expression of genes for drug-metabolizing enzymes and transporters - Pharmacogenetics and pharmacogenomics - Pharmacoepidemiology.
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