Vucicevic Katarina, Michalickova Danica, Obradovic Bozana, Ranin Jovan, Jevtovic Djordje, Lukic Relja, Owen Andrew, Dragovic Gordana
Department of Pharmacokinetics and Clinical Pharmacy, Faculty of Pharmacy, University of Belgrade, Belgrade, SRB.
Department of Pharmacology, First Faculty of Medicine, Charles University and General University Hospital, Prague, CZE.
Cureus. 2025 Jul 22;17(7):e88533. doi: 10.7759/cureus.88533. eCollection 2025 Jul.
Background and objectives Efavirenz (EFV) exhibits substantial inter-patient pharmacokinetics (PK) variability. Polymorphisms in genes involved in EFV metabolism have been associated with EFV exposure, but they have not been fully implemented to inform dosing in treatment guidelines. This work aimed to develop a population pharmacokinetic-pharmacogenetic (PopPK-PGx) model of EFV in human immunodeficiency virus type 1 (HIV-1)-positive patients, and to simultaneously explore the influence of CYP2B6(516G>T and c.485-18C>T) and NR1I3 polymorphisms, as well as patient characteristics on EFV PK parameters. Additionally, this study aimed to simulate the combined effects of genetic polymorphisms and nonadherence patterns on EFV plasma concentrations. Methodology Data from 89 patients receiving 600 mg EFV once daily were analyzed using NONMEM (v7.3) (ICON Development Solutions: Ellicott City, MD). For the structural model, considering a sparse sampling design, a one-compartment model was chosen to describe the distribution of EFV concentrations, with the oral volume of distribution (V/F) and constant rate of absorption (kA) fixed to literature-reported values. Bootstrapping and normalized prediction distribution errors (NPDE) were used for internal validation of the final model. Simulation of concentration-time profiles was conducted using the final PopPK-PGx model, following the recommended dosing regimen for typical individuals, to assess the probability of achieving target concentrations (1000-4000 ng/mL) under different PGx backgrounds and the effect of various nonadherence scenarios. Result Typical oral clearance (CL/F) was 13.9 L/h with 13.1% interindividual variability (IIV). CYP2B6 516G>T, and CYP2B6 c.485-18C>T were associated with EFV CL/F. On average, EFV CL/F was 36.4% lower in heterozygote patients for CYP2B6 516G>T. Moreover, on average, there is a 26.8% decrease in CL/F in patients with the TT genotype of CYP2B6 c.485-18C>T. The NPDE distribution plots confirmed that the model accurately predicted EFV concentrations. For individuals carrying either the CYP2B6 516G>T or CYP2B6 c.485-18C>T polymorphisms, missing two consecutive standard doses of 600 mg/day was estimated to be sufficient to drive EFV concentrations out of the therapeutic range, while for those not carrying any CYP2B6 polymorphisms, one missed dose was estimated to result in EFV concentrations falling below the therapeutic range. Conclusion These findings support the need for genotype-adherence-guided EFV dose adjustments to achieve optimal therapeutic levels. The CYP2B6 516G>T and c.485-18C>T variants were found to significantly reduce efavirenz rate of elimination, resulting in prolonged drug exposure. This insight could inform personalized strategies to maintain therapeutic concentrations in patients with varying adherence patterns.
依非韦伦(EFV)在患者间的药代动力学(PK)存在显著差异。参与EFV代谢的基因多态性与EFV暴露有关,但尚未完全应用于治疗指南中的给药指导。本研究旨在建立1型人类免疫缺陷病毒(HIV-1)阳性患者中EFV的群体药代动力学-药物遗传学(PopPK-PGx)模型,并同时探讨细胞色素P450 2B6(CYP2B6)基因多态性(516G>T和c.485-18C>T)、核受体亚家族1I组成员3(NR1I3)基因多态性以及患者特征对EFV PK参数的影响。此外,本研究旨在模拟基因多态性和不依从模式对EFV血药浓度的联合影响。方法:使用非线性混合效应模型(NONMEM,v7.3版)(ICON开发解决方案公司:美国马里兰州埃利科特市)分析了89例每天接受一次600 mg EFV治疗患者的数据。对于结构模型,考虑到稀疏采样设计,选择单室模型来描述EFV浓度分布,口服分布容积(V/F)和恒定吸收速率(kA)固定为文献报道值。采用自抽样法和标准化预测分布误差(NPDE)对最终模型进行内部验证。使用最终的PopPK-PGx模型,按照典型个体的推荐给药方案模拟浓度-时间曲线,以评估在不同药物遗传学背景下达到目标浓度(1000 - 4000 ng/mL)的概率以及各种不依从情况的影响。结果:典型口服清除率(CL/F)为13.9 L/h,个体间变异(IIV)为13.1%。CYP2B6 516G>T和CYP2B6 c.485-18C>T与EFV的CL/F相关。平均而言,CYP2B6 516G>T杂合子患者的EFV CL/F降低36.4%。此外,CYP2B6 c.485-18C>T的TT基因型患者的CL/F平均降低26.8%。NPDE分布图证实该模型能准确预测EFV浓度。对于携带CYP2B6 516G>T或CYP2B6 c.485-18C>T基因多态性的个体,估计连续漏服两个标准剂量的600 mg/天足以使EFV浓度超出治疗范围,而对于未携带任何CYP2B6基因多态性的个体,估计漏服一剂会导致EFV浓度低于治疗范围。结论:这些研究结果支持根据基因型和依从性指导调整EFV剂量以达到最佳治疗水平的必要性。发现CYP2B6 516G>T和c.485-18C>T变异可显著降低依非韦伦的消除速率,导致药物暴露时间延长。这一见解可为不同依从模式患者维持治疗浓度的个性化策略提供参考。