Adiwidjaja Jeffry, Boddy Alan V, McLachlan Andrew J
Sydney Pharmacy School, The University of Sydney, Sydney, NSW, Australia.
School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA, Australia.
Br J Clin Pharmacol. 2020 Oct;86(10):2080-2094. doi: 10.1111/bcp.14303. Epub 2020 May 13.
This study aimed to investigate the potential interaction between Schisandra sphenanthera, imatinib and bosutinib combining in vitro and in silico methods.
In vitro metabolism of imatinib and bosutinib using recombinant enzymes and human liver microsomes were investigated in the presence and absence of Schisandra lignans. Physiologically-based pharmacokinetic (PBPK) models for the lignans accounting for reversible and mechanism-based inhibitions and induction of CYP3A enzymes were built in the Simcyp Simulator (version 17) and evaluated for their capability to predict interactions with midazolam and tacrolimus. Their potential effect on systemic exposures of imatinib and bosutinib were predicted using PBPK in silico simulations.
Schisantherin A and schisandrol B, but not schisandrin A, potently inhibited CYP3A4-mediated metabolism of imatinib and bosutinib. All three compounds showed a strong reversible inhibition on CYP2C8 enzyme with k of less than 0.5 μmol L . The verified PBPK models were able to describe the increase in systemic exposure of midazolam and tacrolimus due to co-administration of S. sphenanthera, consistent with the reported changes in the corresponding clinical interaction study (AUC ratio of 2.0 vs 2.1 and 2.4 vs 2.1, respectively). The PBPK simulation predicted that at recommended dosing regimens of S. sphenanthera, co-administration would result in an increase in bosutinib exposure (AUC ratio 3.0) but not in imatinib exposure.
PBPK models for Schisandra lignans were successfully developed. Interaction between imatinib and Schisandra lignans was unlikely to be of clinical importance. Conversely, S. sphenanthera at a clinically-relevant dose results in a predicted three-fold increase in bosutinib systemic exposure.
本研究旨在通过体外和计算机模拟方法研究五味子与伊马替尼和博舒替尼联合使用时的潜在相互作用。
在有和没有五味子木脂素存在的情况下,使用重组酶和人肝微粒体研究伊马替尼和博舒替尼的体外代谢。在Simcyp模拟器(版本17)中建立了考虑CYP3A酶可逆性和基于机制的抑制与诱导作用的木脂素生理药代动力学(PBPK)模型,并评估其预测与咪达唑仑和他克莫司相互作用的能力。使用计算机模拟中的PBPK预测它们对伊马替尼和博舒替尼全身暴露的潜在影响。
五味子酯甲和五味子醇乙能有效抑制伊马替尼和博舒替尼的CYP3A4介导的代谢,但五味子甲素不能。所有这三种化合物对CYP2C8酶均表现出强烈的可逆抑制作用,其抑制常数小于0.5 μmol/L。经过验证的PBPK模型能够描述由于五味子共同给药导致的咪达唑仑和他克莫司全身暴露增加,这与相应临床相互作用研究中报道的变化一致(AUC比值分别为2.0对2.1和2.4对2.1)。PBPK模拟预测,按照五味子的推荐给药方案共同给药会导致博舒替尼暴露增加(AUC比值为3.0),但不会导致伊马替尼暴露增加。
成功建立了五味子木脂素的PBPK模型。伊马替尼与五味子木脂素之间的相互作用在临床上不太可能具有重要意义。相反,在临床相关剂量下,五味子预计会使博舒替尼的全身暴露增加三倍。