Fahmi Odette A, Shebley Mohamad, Palamanda Jairam, Sinz Michael W, Ramsden Diane, Einolf Heidi J, Chen Liangfu, Wang Hongbing
Pfizer Inc., Groton, Connecticut (O.A.F.); AbbVie Inc., North Chicago, Illinois (M.S.); Merck Research Laboratories, Rahway, New Jersey (J.P.); Bristol-Myers Squibb, Wallingford, Connecticut (M.W.S.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Novartis, East Hanover, New Jersey (H.J.E.); GlaxoSmithKline, King of Prussia, Pennsylvania (L.C.); and University of Maryland School of Pharmacy, Baltimore, Maryland (H.W.)
Pfizer Inc., Groton, Connecticut (O.A.F.); AbbVie Inc., North Chicago, Illinois (M.S.); Merck Research Laboratories, Rahway, New Jersey (J.P.); Bristol-Myers Squibb, Wallingford, Connecticut (M.W.S.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Novartis, East Hanover, New Jersey (H.J.E.); GlaxoSmithKline, King of Prussia, Pennsylvania (L.C.); and University of Maryland School of Pharmacy, Baltimore, Maryland (H.W.).
Drug Metab Dispos. 2016 Oct;44(10):1720-30. doi: 10.1124/dmd.116.071076. Epub 2016 Jul 15.
Drug-drug interactions (DDIs) due to CYP2B6 induction have recently gained prominence and clinical induction risk assessment is recommended by regulatory agencies. This work aimed to evaluate the potency of CYP2B6 versus CYP3A4 induction in vitro and from clinical studies and to assess the predictability of efavirenz versus bupropion as clinical probe substrates of CYP2B6 induction. The analysis indicates that the magnitude of CYP3A4 induction was higher than CYP2B6 both in vitro and in vivo. The magnitude of DDIs caused by induction could not be predicted for bupropion with static or dynamic models. On the other hand, the relative induction score, net effect, and physiologically based pharmacokinetics SimCYP models using efavirenz resulted in improved DDI predictions. Although bupropion and efavirenz have been used and are recommended by regulatory agencies as clinical CYP2B6 probe substrates for DDI studies, CYP3A4 contributes to the metabolism of both probes and is induced by all reference CYP2B6 inducers. Therefore, caution must be taken when interpreting clinical induction results because of the lack of selectivity of these probes. Although in vitro-in vivo extrapolation for efavirenz performed better than bupropion, interpretation of the clinical change in exposure is confounded by the coinduction of CYP2B6 and CYP3A4, as well as the increased contribution of CYP3A4 to efavirenz metabolism under induced conditions. Current methods and probe substrates preclude accurate prediction of CYP2B6 induction. Identification of a sensitive and selective clinical substrate for CYP2B6 (fraction metabolized > 0.9) is needed to improve in vitro-in vivo extrapolation for characterizing the potential for CYP2B6-mediated DDIs. Alternative strategies and a framework for evaluating the CYP2B6 induction risk are proposed.
由于CYP2B6诱导引起的药物相互作用(DDIs)最近受到了关注,监管机构建议进行临床诱导风险评估。这项工作旨在评估CYP2B6与CYP3A4在体外和临床研究中的诱导效力,并评估依非韦伦与安非他酮作为CYP2B6诱导临床探针底物的可预测性。分析表明,CYP3A4的诱导程度在体外和体内均高于CYP2B6。对于安非他酮,无论是静态模型还是动态模型,都无法预测由诱导引起的DDIs的程度。另一方面,使用依非韦伦的相对诱导评分、净效应和基于生理学的药代动力学SimCYP模型可改善DDI预测。尽管安非他酮和依非韦伦已被监管机构用作DDI研究的临床CYP2B6探针底物并得到推荐,但CYP3A4参与了这两种探针的代谢,并且被所有参考CYP2B6诱导剂诱导。因此,由于这些探针缺乏选择性,在解释临床诱导结果时必须谨慎。尽管依非韦伦的体外-体内外推法比安非他酮表现更好,但暴露的临床变化的解释因CYP2B6和CYP3A4的共同诱导以及在诱导条件下CYP3A4对依非韦伦代谢的贡献增加而变得复杂。目前的方法和探针底物无法准确预测CYP2B6诱导。需要鉴定一种对CYP2B6敏感且有选择性的临床底物(代谢分数>0.9),以改善体外-体内外推法来表征CYP2B6介导的DDIs的可能性。本文提出了评估CYP2B6诱导风险的替代策略和框架。