Suppr超能文献

基于简单双室模型辅助静态方法的细胞色素P450 3A4介导的药物-药物相互作用模拟

Simulations of Cytochrome P450 3A4-Mediated Drug-Drug Interactions by Simple Two-Compartment Model-Assisted Static Method.

作者信息

Iga Katsumi, Kiriyama Akiko

机构信息

Department of Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Doshisha Women's College of Liberal Arts, Kodo Kyotanabe-shi, Kyoto 610-0395, Japan.

Department of Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Doshisha Women's College of Liberal Arts, Kodo Kyotanabe-shi, Kyoto 610-0395, Japan.

出版信息

J Pharm Sci. 2017 May;106(5):1426-1438. doi: 10.1016/j.xphs.2017.01.008. Epub 2017 Jan 13.

Abstract

In order to predict cytochrome P450 3A4 (CYP3A4)-mediated drug-drug interactions (DDIs), a simple 2-compartment model-assisted, overall inhibition activity (A) method was derived based on 2 concepts. One concept was that the increase in blood victim level and fold increase in the area under the blood victim level curve produced by DDI are determined entirely by A, the hepatic availability of the victim and fraction of urinary excreted unchanged victim, where A is determined by the perpetrator-specific CYP isoform inhibition activities (As, DDI predictor-1) and victim-specific fractional CYP isoform contributions (fs, predictor-2). The other concept was that a DDI can be bridged to other DDIs, so that any possible DDI produced by a given victim or a given perpetrator can be predicted by using these predictors. The As of 12 common CYP3A4 inhibitors were able to be determined and shown to be useful for the prediction of CYP3A4-mediated DDIs wherein victims were metabolized by multiple CYP isoforms. Additionally, it was demonstrated that f values with high confidence can be estimated by bridging DDIs produced by the same victim and different perpetrators. This bridging approach will accelerate prediction of DDIs produced by new chemical entities from the existing DDI database.

摘要

为了预测细胞色素P450 3A4(CYP3A4)介导的药物-药物相互作用(DDIs),基于两个概念推导了一种简单的双室模型辅助的总体抑制活性(A)方法。一个概念是,DDI导致的受影响药物血药浓度升高以及血药浓度曲线下面积的增加倍数完全由A、受影响药物的肝内可利用性以及原形经尿液排泄的受影响药物分数决定,其中A由抑制剂特异性CYP同工酶抑制活性(As,DDI预测因子-1)和受影响药物特异性CYP同工酶分数贡献(fs,预测因子-2)决定。另一个概念是,一种DDI可以与其他DDIs建立联系,这样通过使用这些预测因子就可以预测给定的受影响药物或给定的抑制剂可能产生的任何DDI。能够确定12种常见CYP3A4抑制剂的As,并证明其可用于预测受多种CYP同工酶代谢的受影响药物的CYP3A4介导的DDIs。此外,通过建立同一受影响药物与不同抑制剂产生的DDIs之间的联系,证明可以高可信度地估计fs值。这种建立联系的方法将加速从现有DDI数据库预测新化学实体产生的DDIs。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验