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
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页数:26
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