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多种抑制机制与药物相互作用预测:以吉非贝齐药物相互作用为例的代谢和转运体模型现状

Multiple inhibition mechanisms and prediction of drug-drug interactions: status of metabolism and transporter models as exemplified by gemfibrozil-drug interactions.

作者信息

Hinton Laura K, Galetin Aleksandra, Houston J Brian

机构信息

School of Pharmacy and Pharmaceutical Sciences, University of Manchester, Manchester, UK.

出版信息

Pharm Res. 2008 May;25(5):1063-74. doi: 10.1007/s11095-007-9446-6. Epub 2007 Sep 27.

Abstract

PURPOSE

To assess the consequences of multiple inhibitors and differential inhibition mechanisms on the prediction of 12 gemfibrozil drug-drug interactions (DDIs). In addition, qualitative zoning of transporter-related gemfibrozil and cyclosporine DDIs was investigated.

METHODS

The effect of gemfibrozil and its acyl-glucuronide on different enzymes was incorporated into a metabolic prediction model. The impact of CYP2C8 time-dependent inhibition by gemfibrozil acyl-glucuronide was assessed using repaglinide, cerivastatin, loperamide, rosiglitazone and pioglitazone DDIs. Gemfibrozil and cyclosporine inhibition data obtained in human embryonic kidney cells expressing OATP1B1 and hepatic input concentration ([I]in) were used for qualitative zoning of 14 transporter-mediated DDIs.

RESULTS

Incorporation of time-dependent inhibition by gemfibrozil glucuronide showed no significant improvement in the prediction, as CYP2C8 contributed <65% to the overall elimination of the victim drugs investigated. Qualitative zoning of OATP1B1 DDIs resulted in no false negative predictions; yet the magnitude of observed interactions was significantly over-predicted.

CONCLUSIONS

Time-dependent inhibition by gemfibrozil glucuronide is only important for victim drugs eliminated predominantly (>80%) via CYP2C8. Qualitative zoning of OATP1B1 inhibitors based on [I]in/K (i) is valid in drug screening to avoid false negatives. Refinement of the transporter model by incorporating the fraction of drug transported by a particular transporter is recommended.

摘要

目的

评估多种抑制剂和不同抑制机制对12种吉非贝齐药物相互作用(DDIs)预测的影响。此外,还研究了转运体相关的吉非贝齐和环孢素DDIs的定性分区。

方法

将吉非贝齐及其酰基葡萄糖醛酸对不同酶的作用纳入代谢预测模型。使用瑞格列奈、西立伐他汀、洛哌丁胺、罗格列酮和吡格列酮的DDIs评估吉非贝齐酰基葡萄糖醛酸对CYP2C8的时间依赖性抑制作用。在表达OATP1B1的人胚肾细胞中获得的吉非贝齐和环孢素抑制数据以及肝脏输入浓度([I]in)用于14种转运体介导的DDIs的定性分区。

结果

由于CYP2C8对所研究的被作用药物的总体消除贡献率<65%,因此纳入吉非贝齐葡萄糖醛酸的时间依赖性抑制在预测方面没有显著改善。OATP1B1 DDIs的定性分区未产生假阴性预测;然而,观察到的相互作用强度被显著高估。

结论

吉非贝齐葡萄糖醛酸的时间依赖性抑制仅对主要通过CYP2C8消除(>80%)的被作用药物重要。基于[I]in/K(i)对OATP1B1抑制剂进行定性分区在药物筛选中有效,可避免假阴性。建议通过纳入特定转运体转运的药物分数来完善转运体模型。

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