基于体外CYP3A4抑制和诱导数据定量预测体内药物-药物相互作用

Quantitative prediction of in vivo drug-drug interactions based on in vitro inhibition or/and induction data for CYP3A4

抑制和诱导CYP3A4所引起的药动学药物相互作用是临床药物相互作用的常见机制之一,在新药研究以及临床应用中已引起广泛关注。在新药研发早期定量预测药物相互作用可缩短新药开发的时间和成本,并为后期的临床研究提供参考依据。本文综述了近年应用体外CYP3A4代谢数据构建数学模型定量预测体内药物相互作用的研究进展。

Inhibition or/and induction of CYP3A4 are the major mechanisms underlying the common clinical drug-drug interactions,which has been gained attention in new drug discovery and development as well as clinical practice. Quantitative prediction of drug-drug interactions at the early stage of drug development is advantageous for reducing the cost and duration of development and providing more information for the later clinical studies. The review summarizes the update progress on quantitative prediction of in vivo drug-drug interactions derived from models based on in vitro inhibition or/and induction for CYP3A4.