Physiologically based pharmacokinetic modelling prediction of the effects of dose adjustment in drug-drug interactions between levonorgestrel contraceptive implants and efavirenz-based ART

被引:16
|
作者
Roberts, Owain [1 ]
Rajoli, Rajith K. R. [1 ]
Back, David J. [1 ]
Owen, Andrew [1 ]
Darin, Kristin M. [2 ]
Fletcher, Courtney V. [3 ]
Lamorde, Mohammed [4 ]
Scarsi, Kimberly K. [3 ]
Siccardi, Marco [1 ]
机构
[1] Univ Liverpool, Inst Translat Med, Dept Mol & Clin Pharmacol, 70 Pembroke Pl, Liverpool L69 3GF, Merseyside, England
[2] Northwestern Univ, Sch Profess Studies, Chicago, IL 60611 USA
[3] Univ Nebraska Med Ctr, Coll Pharm, Omaha, NE USA
[4] Makerere Univ, Infect Dis Inst, Coll Hlth Sci, Kampala, Uganda
基金
美国国家卫生研究院;
关键词
SUB-SAHARAN AFRICA; ANTIRETROVIRAL THERAPY; HORMONAL CONTRACEPTIVES; PLASMA-CONCENTRATIONS; UNINTENDED PREGNANCY; IN-VIVO; HIV; CYP2B6; METABOLISM; CLEARANCE;
D O I
10.1093/jac/dkx515
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background: HIV-positive women receiving efavirenz-based ART and levonorgestrel contraceptive implants are at risk of low levonorgestrel exposure and unintended pregnancy. Objectives: To investigate clinically applicable dose-adjustment strategies to overcome the known drug-drug interaction (DDI) between levonorgestrel and efavirenz, using a physiologically based pharmacokinetic (PBPK) modelling-based approach. Methods: A PBPK model was qualified against clinical data to predict levonorgestrel plasma concentrations when standard-dose (150 mg) levonorgestrel implants were administered alone (control group), as well as when standard-dose or increased-dose (300 mg) levonorgestrel implants were coadministered with either 600 or 400 mg of efavirenz. Results: No difference was seen between in vi clinical and PBPK-model-simulated levonorgestrel plasma concentrations (P > 0.05). Simulated levonorgestrel plasma concentrations were similar to 50% lower at 48 weeks post-implant-placement in virtual individuals receiving standard-dose levonorgestrel with either 600 or 400 mg of efavirenz compared with the control group (efavirenz: control geometric mean ratio = 0.42 and 0.49, respectively). Conversely, increased-dose levonorgestrel in combination with either 600 or 400 mg of efavirenz was sufficient to restore levonorgestrel concentrations to levels similar to those observed in the 150 mg levonorgestrel control group 48 weeks post-implant-placement (efavirenz: control geometric mean ratio = 0.86 and 1.03, respectively). Conclusions: These results suggest that the clinically significant DDI between efavirenz and levonorgestrel is likely to persist despite efavirenz dose reduction, whereas dose escalation of implantable levonorgestrel may represent a successful clinical strategy to circumvent efavirenz-levonorgestrel DDIs and will be of use to inform clinical trial design to assess coadministration of efavirenz and levonorgestrel implants.
引用
收藏
页码:1004 / 1012
页数:9
相关论文
共 50 条
  • [1] Physiologically based pharmacokinetic modelling of oxycodone drug-drug interactions
    Rytkonen, Jaana
    Ranta, Veli-Pekka
    Kokki, Merja
    Kokki, Hannu
    Hautajarvi, Heidi
    Rinne, Valtteri
    Heikkinen, Aki T.
    BIOPHARMACEUTICS & DRUG DISPOSITION, 2020, 41 (1-2) : 72 - 88
  • [2] Prediction of drug-drug Interactions Between Various Antidepressants and Efavirenz or Boosted Protease Inhibitors Using a Physiologically Based Pharmacokinetic Modelling Approach
    Siccardi, Marco
    Marzolini, Catia
    Seden, Kay
    Almond, Lisa
    Kirov, Anna
    Khoo, Saye
    Owen, Andrew
    Back, David
    CLINICAL PHARMACOKINETICS, 2013, 52 (07) : 583 - 592
  • [3] Prediction of drug-drug Interactions Between Various Antidepressants and Efavirenz or Boosted Protease Inhibitors Using a Physiologically Based Pharmacokinetic Modelling Approach
    Marco Siccardi
    Catia Marzolini
    Kay Seden
    Lisa Almond
    Anna Kirov
    Saye Khoo
    Andrew Owen
    David Back
    Clinical Pharmacokinetics, 2013, 52 : 583 - 592
  • [4] Use of a physiologically-based pharmacokinetic model to simulate artemether dose adjustment for overcoming the drug-drug interaction with efavirenz
    Marco Siccardi
    Adeniyi Olagunju
    Kay Seden
    Farid Ebrahimjee
    Steve Rannard
    David Back
    Andrew Owen
    In Silico Pharmacology, 1 (1)
  • [5] Physiologically-Based Pharmacokinetic Modeling of Macitentan: Prediction of Drug-Drug Interactions
    de Kanter, Ruben
    Sidharta, Patricia N.
    Delahaye, Stphane
    Gnerre, Carmela
    Segrestaa, Jerome
    Buchmann, Stephan
    Kohl, Christopher
    Treiber, Alexander
    CLINICAL PHARMACOKINETICS, 2016, 55 (03) : 369 - 380
  • [6] Prediction of pharmacokinetic drug-drug interactions causing atorvastatin-induced rhabdomyolysis using physiologically based pharmacokinetic modelling
    Li, Size
    Yu, Yiqun
    Jin, Zhiping
    Dai, Yu
    Lin, Haishu
    Jiao, Zheng
    Ma, Guo
    Cai, Weimin
    Han, Bing
    Xiang, Xiaoqiang
    BIOMEDICINE & PHARMACOTHERAPY, 2019, 119
  • [7] Physiologically Based Pharmacokinetic Modeling to Predict Drug-Drug Interactions with Efavirenz Involving Simultaneous Inducing and Inhibitory Effects on Cytochromes
    Marzolini, Catia
    Rajoli, Rajith
    Battegay, Manuel
    Elzi, Luigia
    Back, David
    Siccardi, Marco
    CLINICAL PHARMACOKINETICS, 2017, 56 (04) : 409 - 420
  • [8] Prediction of drug-drug interactions between various antidepressants and ritonavir using a physiologically based pharmacokinetic model
    Siccardi, M.
    Marzolini, C.
    Seden, K.
    Almond, L.
    Kirov, A.
    Khoo, S.
    Owen, A.
    Back, D.
    JOURNAL OF THE INTERNATIONAL AIDS SOCIETY, 2012, 15 : 60 - 60
  • [9] Acalabrutinib CYP3A-mediated drug-drug interactions: Clinical evaluations and physiologically based pharmacokinetic modelling to inform dose adjustment strategy
    Chen, Buyun
    Zhou, Diansong
    Wei, Hua
    Yotvat, Marmor
    Zhou, Li
    Cheung, Jean
    Sarvaria, Nicole
    Lai, Richard
    Sharma, Shringi
    Vishwanathan, Karthick
    Ware, Joseph
    BRITISH JOURNAL OF CLINICAL PHARMACOLOGY, 2022, 88 (08) : 3716 - 3729
  • [10] PHYSIOLOGICALLY BASED PHARMACOKINETIC (PBPK) MODELING OF ELAGOLIX FOR PREDICTION OF DRUG-DRUG INTERACTIONS (DDIS)
    Chiney, M. S.
    Polepally, A. R.
    Nader, A. M.
    Dufek, M. B.
    Klein, C. E.
    Ng, J. W.
    Shebley, M.
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2017, 101 (S1) : S59 - S59