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应用受试者工作特征分析来优化地高辛潜在药物相互作用的预测。

Application of receiver operating characteristic analysis to refine the prediction of potential digoxin drug interactions.

机构信息

Drug Metabolism and Pharmacokinetics, GlaxoSmithKline Pharmaceuticals, King of Prussia, Pennsylvania, USA.

出版信息

Drug Metab Dispos. 2013 Jul;41(7):1367-74. doi: 10.1124/dmd.112.050542. Epub 2013 Apr 25.

DOI:10.1124/dmd.112.050542
PMID:23620486
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3684818/
Abstract

In the 2012 Food and Drug Administration (FDA) draft guidance on drug-drug interactions (DDIs), a new molecular entity that inhibits P-glycoprotein (P-gp) may need a clinical DDI study with a P-gp substrate such as digoxin when the maximum concentration of inhibitor at steady state divided by IC₅₀ ([I₁]/IC₅₀) is ≥0.1 or concentration of inhibitor based on highest approved dose dissolved in 250 ml divide by IC₅₀ ([I₂]/IC₅₀) is ≥10. In this article, refined criteria are presented, determined by receiver operating characteristic analysis, using IC₅₀ values generated by 23 laboratories. P-gp probe substrates were digoxin for polarized cell-lines and N-methyl quinidine or vinblastine for P-gp overexpressed vesicles. Inhibition of probe substrate transport was evaluated using 15 known P-gp inhibitors. Importantly, the criteria derived in this article take into account variability in IC₅₀ values. Moreover, they are statistically derived based on the highest degree of accuracy in predicting true positive and true negative digoxin DDI results. The refined criteria of [I₁]/IC₅₀ ≥ 0.03 and [I₂]/IC₅₀ ≥ 45 and FDA criteria were applied to a test set of 101 in vitro-in vivo digoxin DDI pairs collated from the literature. The number of false negatives (none predicted but DDI observed) were similar, 10 and 12%, whereas the number of false positives (DDI predicted but not observed) substantially decreased from 51 to 40%, relative to the FDA criteria. On the basis of estimated overall variability in IC₅₀ values, a theoretical 95% confidence interval calculation was developed for single laboratory IC₅₀ values, translating into a range of [I₁]/IC₅₀ and [I₂]/IC₅₀ values. The extent by which this range falls above the criteria is a measure of risk associated with the decision, attributable to variability in IC₅₀ values.

摘要

在 2012 年食品和药物管理局(FDA)关于药物相互作用(DDI)的指南草案中,当新的分子实体抑制 P-糖蛋白(P-gp)时,在稳态时抑制剂的最大浓度除以 IC₅₀([I₁]/IC₅₀)≥0.1 或根据最高批准剂量溶解在 250 毫升中的抑制剂浓度除以 IC₅₀([I₂]/IC₅₀)≥10 时,可能需要进行与 P-gp 底物(如地高辛)的临床 DDI 研究。在本文中,通过使用 23 个实验室生成的 IC₅₀ 值进行接收者操作特征分析,提出了经过改进的标准。P-gp 探针底物为极化细胞系的地高辛和 P-gp 过度表达囊泡的 N-甲基奎尼丁或长春碱。使用 15 种已知的 P-gp 抑制剂评估探针底物转运的抑制作用。重要的是,本文中得出的标准考虑了 IC₅₀ 值的变异性。此外,它们是根据预测真正的地高辛 DDI 阳性和阴性结果的最高准确性统计得出的。[I₁]/IC₅₀≥0.03 和 [I₂]/IC₅₀≥45 的改进标准和 FDA 标准应用于从文献中整理的 101 对地高辛体外-体内 DDI 对的测试集。没有预测但观察到 DDI 的假阴性(未预测但观察到 DDI)的数量相似,为 10%和 12%,而预测但未观察到 DDI 的假阳性(预测但未观察到 DDI)的数量从 51 个显著减少到 40%,与 FDA 标准相比。基于 IC₅₀ 值的总体估计变异性,为单个实验室 IC₅₀ 值开发了理论 95%置信区间计算,转化为 [I₁]/IC₅₀ 和 [I₂]/IC₅₀ 值的范围。该范围高于标准的程度是与决策相关的风险的度量,归因于 IC₅₀ 值的变异性。

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