Costa Bárbara, Gouveia Maria João, Vale Nuno
PerMed Research Group, Center for Health Technology and Services Research (CINTESIS), Rua Doutor Plácido da Costa, 4200-450 Porto, Portugal.
CINTESIS@RISE, Faculty of Medicine, University of Porto, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal.
Pharmaceutics. 2024 Sep 3;16(9):1163. doi: 10.3390/pharmaceutics16091163.
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.
本研究旨在使用基于生理的药代动力学(PBPK)模型和特定于妊娠的PBPK(p-PBPK)模型,模拟孕妇中拉莫三嗪(LTG)和依非韦伦(EFV)的药代动力学。对于拉莫三嗪,成人PBPK模型对药代动力学参数表现出准确的预测。曲线下面积(AUC)和血浆峰浓度(Cmax)的预测通常与观察值吻合良好。在孕期,PBPK模型准确预测了AUC和Cmax,预测误差(%PE)小于25%。对EFV的PBPK模型评估结果不一。虽然该模型准确预测了非妊娠成人的某些参数,但在更高剂量(600 mg与400 mg)以及孕妇的预测中观察到显著差异。该模型在孕期的表现不佳,表明需要进一步优化以考虑基因多态性。性别差异也影响了EFV的药代动力学,女性的暴露水平低于男性。这些发现突出了一般情况下尤其是在孕妇群体中模拟EFV的复杂性,以及验证此类模型以实现准确临床应用的重要性。该研究强调了为孕妇量身定制给药方案以确保安全性和有效性的重要性,特别是在与UGT底物药物联合治疗时。尽管LTG和EFV之间的药物相互作用似乎最小,但仍需要进一步研究以改进预测模型并提高其准确性。