PBPK Modeling of Lamotrigine and Efavirenz during Pregnancy: Implications for Personalized Dosing and Drug-Drug Interaction Management

被引:2
|
作者
Costa, Barbara [1 ,2 ,3 ,4 ]
Gouveia, Maria Joao [4 ,5 ]
Vale, Nuno [1 ,2 ,3 ]
机构
[1] Ctr Hlth Technol & Serv Res CINTESIS, PerMed Res Grp, Rua Doutor Placido Costa, P-4200450 Porto, Portugal
[2] Univ Porto, Fac Med, CINTESISRISE, Alameda Prof Hernani Monteiro, P-4200319 Porto, Portugal
[3] Univ Porto, Fac Med, Dept Community Med Hlth Informat & Decis MEDCIDS, Alameda Prof Hernani Monteiro, P-4200319 Porto, Portugal
[4] Natl Hlth Inst Dr Ricardo Jorge, Ctr Parasite Biol & Immunol, Dept Infect Dis, Rua Alexandre Herculano 321, P-4000055 Porto, Portugal
[5] Univ Porto CECA ICETA UP, Ctr Study Anim Sci, Praca Coronel Pacheco 15, P-4050453 Porto, Portugal
关键词
pharmacokinetics; pregnancy; PBPK models; lamotrigine (LTG); efavirenz (EFV); drug-drug interactions (DDI); UGT enzyme; therapeutic management; ANTIEPILEPTIC DRUGS; ANTIRETROVIRAL THERAPY; PLASMA-CONCENTRATIONS; 600; MG; PHARMACOKINETICS; WOMEN; CLEARANCE; GLUCURONIDATION; POLYMORPHISM; HIV/AIDS;
D O I
10.3390/pharmaceutics16091163
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
This study aimed to model the pharmacokinetics of lamotrigine (LTG) and efavirenz (EFV) in pregnant women using physiologically based pharmacokinetic (PBPK) and pregnancy-specific PBPK (p-PBPK) models. For lamotrigine, the adult PBPK model demonstrated accurate predictions for pharmacokinetic parameters. Predictions for the area under the curve (AUC) and peak plasma concentration (Cmax) generally agreed well with observed values. During pregnancy, the PBPK model accurately predicted AUC and Cmax with a prediction error (%PE) of less than 25%. The evaluation of the EFV PBPK model revealed mixed results. While the model accurately predicted certain parameters for non-pregnant adults, significant discrepancies were observed in predictions for higher doses (600 vs. 400 mg) and pregnant individuals. The model's performance during pregnancy was poor, indicating the need for further refinement to account for genetic polymorphism. Gender differences also influenced EFV pharmacokinetics, with lower exposure levels in females compared to males. These findings highlight the complexity of modeling EFV, in general, but specifically in pregnant populations, and the importance of validating such models for accurate clinical application. The study highlights the importance of tailoring dosing regimens for pregnant individuals to ensure both safety and efficacy, particularly when using combination therapies with UGT substrate drugs. Although drug-drug interactions between LTG and EFV appear minimal, further research is needed to improve predictive models and enhance their accuracy.
引用
收藏
页数:26
相关论文
共 50 条
  • [21] 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
  • [22] Tonic-clonic seizure during treatment with lamotrigine and dipyrone A new drug-drug interaction with an old mechanism?
    Kleine, Bert-Ulrich
    Fugmann, Annemarie
    Miosge, Ragna-Jill
    Berrouschot, Joerg
    CLINICAL EPILEPTOLOGY, 2025, : 177 - 180
  • [23] In silico based evaluation of efavirenz and rifampicin drug-drug interaction considering weight and pharmacogenetics
    Rekic, D.
    Roshammar, D.
    Ashton, M.
    TROPICAL MEDICINE & INTERNATIONAL HEALTH, 2009, 14 : 51 - 52
  • [24] Drug-drug interaction between itraconazole capsule and efavirenz in adults with HIV for talaromycosis treatment
    Kaewpoowat, Quanhathai
    Chaiwarith, Romanee
    Yasri, Saowaluck
    Worasilchai, Navaporn
    Chindamporn, Ariya
    Sirisanthana, Thira
    Cressey, Tim R.
    JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY, 2021, 76 (04) : 1041 - 1045
  • [25] Towards improved drug-drug interaction management guidelines
    Floor-Schreudering, A.
    Geerts, A. F.
    Aronson, J. K.
    Bouvy, M. L.
    Ferner, R. E.
    de Smet, P. A.
    INTERNATIONAL JOURNAL OF CLINICAL PHARMACY, 2013, 35 (05) : 904 - 905
  • [26] Drug-drug interaction management in German community pharmacies
    Braun, C. A.
    Woltersdorf, R.
    Simons, S.
    Klahn, D.
    Jaehde, U.
    INTERNATIONAL JOURNAL OF CLINICAL PHARMACY, 2016, 38 (02) : 495 - 496
  • [27] Pharmacokinetic drug-drug interaction and their implication in clinical management
    Caterina, Palleria
    Antonello, Di Paolo
    Chiara, Giofre
    Chiara, Caglioti
    Giacomo, Leuzzi
    Antonio, Siniscalchi
    Giovambattista, De Sarro
    Luca, Gallelli
    JOURNAL OF RESEARCH IN MEDICAL SCIENCES, 2013, 18 (07): : 600 - 609
  • [28] Genotype, Ethnicity, and Drug-Drug Interaction Modeling as Means of Verifying Transporter Biomarker PBPK Model: The Coproporphyrin-I Story
    Ujihira, Yuki
    Tan, Shawn Pei Feng
    Scotcher, Daniel
    Galetin, Aleksandra
    CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY, 2025,
  • [29] Assessment of drug-drug interaction potential and PBPK modeling of CC-223, a potent inhibitor of the mammalian target of rapamycin kinase
    Tong, Zeen
    Narayanan, Rangaraj
    Atsriku, Christian
    Nissel, Jim
    Li, Yan
    Liu, Hong
    Wang, Xiaomin
    Surapaneni, Sekhar
    XENOBIOTICA, 2019, 49 (01) : 54 - 70
  • [30] Physiologically Based Pharmacokinetic (PBPK) Modeling of Pitavastatin and Atorvastatin to Predict Drug-Drug Interactions (DDIs)
    Duan, Peng
    Zhao, Ping
    Zhang, Lei
    EUROPEAN JOURNAL OF DRUG METABOLISM AND PHARMACOKINETICS, 2017, 42 (04) : 689 - 705