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In Vitro‐to‐In Vivo Extrapolation of Transporter Inhibition Data for Drugs Approved by the US Food and Drug Administration in 2018

机译:2018年美国食品药品监督管理局批准的药物的转运体抑制数据的体外至体外推断

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摘要

A systematic analysis of the inhibition transporter data available in New Drug Applications of drugs approved by the US Food and Drug Administration (FDA) in 2018 (  = 42) was performed. ‐to‐ predictions using basic models were available for the nine transporters currently recommended for evaluation. Overall, 29 parents and 16 metabolites showed inhibition of at least one transporter, with the largest number of drugs found to be inhibitors of P‐gp followed by BCRP. The most represented therapeutic areas were oncology drugs and anti‐infective agents, each comprising 31%. Among drugs with prediction values greater than the FDA recommended cutoffs and further evaluated , 56% showed positive clinical interactions (area under the concentration‐time curve ratio (AUCRs) ≥ 1.25). Although all the observed or simulated inhibitions were weak (AUCRs in vitro findings, but that multiple other factors are considered when deciding the need for clinical studies. Four drugs had prediction values less than the cutoffs but had clinical evaluations or physiologically‐based pharmacokinetic simulations available. Consistent with the predictions, all of them were confirmed not to inhibit these transporters (AUCRs of 0.94–1.09). Overall, based on the clinical evaluations available, drugs approved in 2018 were found to have a relatively limited impact on drug transporters, with all victim AUCRs
机译:对美国食品和药物管理局(FDA)在2018年批准的新药申请中的抑制转运蛋白数据进行了系统分析(= 42)。目前建议评估的九种运输工具都可以使用基本模型进行预测。总体而言,有29个亲本和16种代谢物显示出至少一种转运蛋白的抑制作用,其中发现最多的药物是P-gp抑制剂,其次是BCRP。最具代表性的治疗领域是肿瘤药物和抗感染药,分别占31%。在预测值大于FDA建议的临界值并进一步评估的药物中,有56%的药物显示出积极的临床相互作用(浓度-时间曲线比(AUCRs)≥1.25的区域)。尽管所有观察到或模拟的抑制作用均较弱(AUCR的体外发现,但在决定是否需要临床研究时要考虑多个其他因素。四种药物的预测值均低于临界值,但可以进行临床评估或基于生理学的药代动力学模拟与预测一致,所有这些均被证实不会抑制这些转运蛋白(AUCR为0.94–1.09)。总体而言,根据现有的临床评估,2018年批准的药物对转运蛋白的影响相对有限,所有受害者AUCR

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