An Van den Bergh1, Jan Snoeys2, Loeckie De Zwart2, Peter Ward3, Angela Lopez-Gitlitz4, Daniele Ouellet5, Mario Monshouwer2, Caly Chien5. 1. Janssen Research & Development, Turnhoutseweg 30, 2340, Beerse, Belgium. avdberg2@its.jnj.com. 2. Janssen Research & Development, Turnhoutseweg 30, 2340, Beerse, Belgium. 3. Janssen Research & Development, San Diego, CA, USA. 4. Janssen Research & Development, Los Angeles, CA, USA. 5. Janssen Research & Development, Spring House, PA, USA.
Abstract
BACKGROUND: Apalutamide is predominantly metabolized via cytochrome P450 (CYP) 2C8 and CYP3A4, whose contributions change due to autoinduction with repeated dosing. OBJECTIVES: We aimed to predict CYP3A4 and CYP2C8 inhibitor/inducer effects on the steady-state pharmacokinetics of apalutamide and total potency-adjusted pharmacologically active moieties, and simulated drug-drug interaction (DDI) between single-dose and repeated-dose apalutamide coadministered with known inhibitors/inducers. METHODS: We applied physiologically based pharmacokinetic modeling for our predictions, and simulated DDI between single-dose and repeated-dose apalutamide 240 mg coadministered with ketoconazole, gemfibrozil, or rifampicin. RESULTS: The estimated contribution of CYP2C8 and CYP3A4 to apalutamide metabolism is 58% and 13%, respectively, after single dosing, and 40% and 37%, respectively, at steady-state. Apalutamide exposure is predicted to increase with ketoconazole (maximum observed concentration at steady-state [Cmax,ss] 38%, area under the plasma concentration-time curve at steady-state [AUCss] 51% [pharmacologically active moieties, Cmax,ss 23%, AUCss 28%]) and gemfibrozil (Cmax,ss 32%, AUCss 44% [pharmacologically active moieties, Cmax,ss 19%, AUCss 23%]). Rifampicin exposure is predicted to decrease apalutamide (Cmax,ss 25%, AUCss 34% [pharmacologically active moieties, Cmax,ss 15%, AUCss 19%]). CONCLUSIONS: Based on our simulations, no major changes in the pharmacokinetics of apalutamide or pharmacologically active moieties are expected with strong CYP3A4/CYP2C8 inhibitors/inducers. This observation supports the existing recommendations that no dose adjustments are needed during coadministration of apalutamide and the known inhibitors or inducers of CYP2C8 or CYP3A4.
BACKGROUND:Apalutamide is predominantly metabolized via cytochrome P450 (CYP) 2C8 and CYP3A4, whose contributions change due to autoinduction with repeated dosing. OBJECTIVES: We aimed to predict CYP3A4 and CYP2C8 inhibitor/inducer effects on the steady-state pharmacokinetics of apalutamide and total potency-adjusted pharmacologically active moieties, and simulated drug-drug interaction (DDI) between single-dose and repeated-dose apalutamide coadministered with known inhibitors/inducers. METHODS: We applied physiologically based pharmacokinetic modeling for our predictions, and simulated DDI between single-dose and repeated-dose apalutamide 240 mg coadministered with ketoconazole, gemfibrozil, or rifampicin. RESULTS: The estimated contribution of CYP2C8 and CYP3A4 to apalutamide metabolism is 58% and 13%, respectively, after single dosing, and 40% and 37%, respectively, at steady-state. Apalutamide exposure is predicted to increase with ketoconazole (maximum observed concentration at steady-state [Cmax,ss] 38%, area under the plasma concentration-time curve at steady-state [AUCss] 51% [pharmacologically active moieties, Cmax,ss 23%, AUCss 28%]) and gemfibrozil (Cmax,ss 32%, AUCss 44% [pharmacologically active moieties, Cmax,ss 19%, AUCss 23%]). Rifampicin exposure is predicted to decrease apalutamide (Cmax,ss 25%, AUCss 34% [pharmacologically active moieties, Cmax,ss 15%, AUCss 19%]). CONCLUSIONS: Based on our simulations, no major changes in the pharmacokinetics of apalutamide or pharmacologically active moieties are expected with strong CYP3A4/CYP2C8 inhibitors/inducers. This observation supports the existing recommendations that no dose adjustments are needed during coadministration of apalutamide and the known inhibitors or inducers of CYP2C8 or CYP3A4.
Authors: Nassim Djebli; Vincent Buchheit; Neil Parrott; Elena Guerini; Yumi Cleary; Stephen Fowler; Nicolas Frey; Li Yu; François Mercier; Alex Phipps; Georgina Meneses-Lorente Journal: Eur J Drug Metab Pharmacokinet Date: 2021-09-08 Impact factor: 2.441