Prediction of drug–drug interactions between roflumilast and CYP3A4/1A2 perpetrators using a physiologically-based pharmacokinetic (PBPK) approach

Author:

Jia Guangwei1,Ren Congcong1,Wang Hongyan1,Fan Caixia2

Affiliation:

1. Liaocheng People's Hospital

2. Linyi People's Hospital

Abstract

Abstract This study aimed to develop a physiologically-based pharmacokinetic (PBPK) model to predict changes in the pharmacokinetics (PK) and pharmacodynamics (PD, PDE4 inhibition) of roflumilast (ROF) and ROF N-oxide when co-administered with eight CYP3A4/1A2 perpetrators. The population PBPK model of ROF and ROF N-oxide has been successfully developed and validated based on the four clinical PK studies and five clinical drug-drug interactions (DDIs) studies. In PK simulations, every ratio of prediction to observation for PK parameters fell within the range 0.7 to 1.5. In DDI simulations, except for tow peak concentration ratios (Cmax) of ROF with rifampicin (0.63 vs. 0.19) and with cimetidine (1.07 vs.1.85), the remaining predicted ratios closely matched the observed ratios. Additionally, the PBPK model suggested that co-administration with the four perpetrators (ketoconazole, cimetidine, enoxacin, and fluconazole) may use with caution, while co-administration with CYP3A4 strong or moderate inducer (rifampicin, efavirenz), or with CYP3A4 strong inhibitor (itraconazole), or with dual CYP3A41A2 inhibitor (fluvoxamine) should avoid. Overall, the present PBPK model can provide recommendations for adjusting dosing regimens in the presence of DDIs.

Publisher

Research Square Platform LLC

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