Assessment of Drug-Drug Interaction Risk Between Intravenous Fentanyl and the Glecaprevir/Pibrentasvir Combination Regimen in Hepatitis C Patients Using Physiologically Based Pharmacokinetic Modeling and Simulations

被引:4
|
作者
Mukherjee, Dwaipayan [1 ]
Collins, Michelle [1 ]
Dylla, Douglas E. [1 ]
Kaur, Jatinder [1 ]
Semizarov, Dimitri [1 ]
Martinez, Anthony [2 ]
Conway, Brian [3 ,4 ]
Khan, Tipu [5 ,6 ]
Mostafa, Nael M. [1 ]
机构
[1] AbbVie Inc, N Chicago, IL 60064 USA
[2] SUNY Buffalo, Jacobs Sch Med, Buffalo, NY USA
[3] Vancouver Infect Dis Ctr, Vancouver, BC, Canada
[4] Simon Fraser Univ, Burnaby, BC, Canada
[5] Ventura Cty Med Ctr, Ventura, CA USA
[6] USC Keck Sch Med, Los Angeles, CA USA
关键词
Drug-drug interactions; Hepatitis C virus; Fentanyl; Glecaprevir; Opioids; Pangenotypic direct-acting antivirals; Physiologically based pharmacokinetic model; P-GLYCOPROTEIN; ITRACONAZOLE; FLUCONAZOLE; PREDICTION; INHIBITOR; INFECTION;
D O I
10.1007/s40121-023-00830-0
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
IntroductionAn unsafe injection practice is one of the major contributors to new hepatitis C virus (HCV) infections; thus, people who inject drugs are a key population to prioritize to achieve HCV elimination. The introduction of highly effective and well-tolerated pangenotypic direct-acting antivirals, including glecaprevir/pibrentasvir (GLE/PIB), has revolutionized the HCV treatment landscape. Glecaprevir is a weak cytochrome P450 3A4 (CYP3A4) inhibitor, so there is the potential for drug-drug interactions (DDIs) with some opioids metabolized by CYP3A4, such as fentanyl. This study estimated the impact of GLE/PIB on the pharmacokinetics of intravenous fentanyl by building a physiologically based pharmacokinetic (PBPK) model.MethodsA PBPK model was developed for intravenous fentanyl by incorporating published information on fentanyl metabolism, distribution, and elimination in healthy individuals. Three clinical DDI studies were used to verify DDIs within the fentanyl PBPK model. This model was integrated with a previously developed GLE/PIB PBPK model. After model validation, DDI simulations were conducted by coadministering GLE 300 mg + PIB 120 mg with a single dose of intravenous fentanyl (0.5 & mu;g/kg).ResultsThe predicted maximum plasma concentration ratio between GLE/PIB + fentanyl and fentanyl alone was 1.00, and the predicted area under the curve ratio was 1.04, suggesting an increase of only 4% in fentanyl exposure.ConclusionThe administration of a therapeutic dose of GLE/PIB has very little effect on the pharmacokinetics of intravenous fentanyl. This negligible increase would not be expected to increase the risk of fentanyl overdose beyond the inherent risks related to the amount and purity of the fentanyl received during recreational use.
引用
收藏
页码:2057 / 2070
页数:14
相关论文
共 50 条
  • [41] Potential drug-drug interaction of olverembatinib (HQP1351) using physiologically based pharmacokinetic models
    Yu, Zhiheng
    Lei, Zihan
    Yao, Xueting
    Wang, Hengbang
    Zhang, Miao
    Hou, Zhe
    Li, Yafen
    Zhao, Yangyu
    Li, Haiyan
    Liu, Dongyang
    Zhai, Yifan
    FRONTIERS IN PHARMACOLOGY, 2022, 13
  • [42] Applications of Physiologically Based Pharmacokinetic Modeling of Rivaroxaban-Renal and Hepatic Impairment and Drug-Drug Interaction Potential
    Willmann, Stefan
    Coboeken, Katrin
    Kapsa, Stefanie
    Thelen, Kirstin
    Mundhenke, Markus
    Fischer, Kerstin
    Huegl, Burkhard
    Mueck, Wolfgang
    JOURNAL OF CLINICAL PHARMACOLOGY, 2021, 61 (05): : 656 - 665
  • [43] Prediction of Renal Transporter Mediated Drug-Drug Interactions for Pemetrexed Using Physiologically Based Pharmacokinetic Modeling
    Posada, Maria M.
    Bacon, James A.
    Schneck, Karen B.
    Tirona, Rommel G.
    Kim, Richard B.
    Higgins, J. William
    Pak, Y. Anne
    Hall, Stephen D.
    Hillgren, Kathleen M.
    DRUG METABOLISM AND DISPOSITION, 2015, 43 (03) : 325 - 334
  • [44] Practical Assessment of Clinical Drug-Drug Interactions in Drug Development Using Physiologically Based Pharmacokinetics Modeling
    Shebley, Mohamad
    Einolf, Heidi J.
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2019, 105 (06) : 1326 - 1328
  • [45] Physiologically-Based Pharmacokinetic Modeling Characterizes the CYP3A-Mediated Drug-Drug Interaction Between Fluconazole and Sildenafil in Infants
    Salerno, Sara N.
    Edginton, Andrea
    Gerhart, Jacqueline G.
    Laughon, Matthew M.
    Ambalavanan, Namasivayam
    Sokol, Gregory M.
    Hornik, Chi D.
    Stewart, Dan
    Mills, Mary
    Martz, Karen
    Gonzalez, Daniel
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2021, 109 (01) : 253 - 262
  • [46] APPLICATION OF PHYSIOLOGICALLY BASED PHARMACOKINETIC (PBPK) MODELING FOR PREDICTION OF THE DRUG-DRUG INTERACTION (DDI) BETWEEN PAROXETINE AND TERBINAFINE IN A JAPANESE POPULATION.
    Yeo, K. Rowland
    Barter, Z.
    Almond, L.
    Rostami-Hodjegan, A.
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2013, 93 : S119 - S120
  • [47] PHYSIOLOGICALLY-BASED PHARMACOKINETIC (PBPK) MODELING OF DRUG-DRUG INTERACTION (DDI) BETWEEN TEMSIROLIMUS AND ITS METABOLITE SIROLIMUS WITH MIDAZOLAM.
    Lin, J.
    Loi, C. -M.
    Tse, S.
    Boni, J.
    Shetty, B. V.
    Goosen, T. C.
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2017, 101 (S1) : S37 - S37
  • [48] Quantitative Analysis of Complex Drug-Drug Interactions between Cerivastatin and Metabolism/Transport Inhibitors Using Physiologically Based Pharmacokinetic Modeling
    Yao, Yoshiaki
    Toshimoto, Kota
    Kim, Soo-Jin
    Yoshikado, Takashi
    Sugiyama, Yuichi
    DRUG METABOLISM AND DISPOSITION, 2018, 46 (07) : 924 - 933
  • [49] Predicting Drug-Drug Interactions Between Rifampicin and Long-Acting Cabotegravir and Rilpivirine Using Physiologically Based Pharmacokinetic Modeling
    Rajoli, Rajith K. R.
    Curley, Paul
    Chiong, Justin
    Back, David
    Flexner, Charles
    Owen, Andrew
    Siccardi, Marco
    JOURNAL OF INFECTIOUS DISEASES, 2019, 219 (11): : 1735 - 1742
  • [50] APPLICATION OF A PHYSIOLOGICALLY BASED PHARMACOKINETIC (PBPK) MODEL FOR PREDICTION OF THE DRUG-DRUG INTERACTION (DDI) BETWEEN LORAZEPAM AND PROBENECID
    Neuhoff, Sibylle
    Musther, Helen
    Rowland-Yeo, Karen
    DRUG METABOLISM REVIEWS, 2015, 47 : 121 - 121