Li Ji-Cheng, Miao Chen-Fang, Lei Yun, Liu Ai-Lin
Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Department of Pharmaceutical Analysis, The School of Pharmacy, Fujian Medical University, Fuzhou 350122, China.
Pharmaceuticals (Basel). 2025 Apr 27;18(5):637. doi: 10.3390/ph18050637.
: Lamotrigine plays a crucial role in the treatment of epilepsy and bipolar disorder in adults and children. However, its pharmacokinetic (PK) behavior in first or long-term treatment in pediatric patients and the changes in drug exposure in patients with renal impairment are not well characterized. The purpose of the research was to build a robust physiologically based pharmacokinetic (PBPK) model of lamotrigine for the prediction of drug exposure in diverse populations to facilitate therapeutic drug monitoring (TDM) and guide dosing regimens. : The physicochemical parameter values of lamotrigine were integrated to establish and validate the model in an adult population in PK-sim. This adult PBPK model can be extrapolated to children and patients with renal impairment to predict PK changes. : Most of the observed data were within the 5th and 95th percentile intervals of the variability around the predicted plasma concentrations. The model predicted pharmacokinetic thresholds and exposure values for clinically safe and effective doses recommended by the FDA for initial and long-term treatment of epilepsy in adults and children aged 2-12 years. Notably, patients with severe renal impairment and end-stage renal disease experienced an average increase in the area under the curve of 1.51 folds and 1.62 folds, respectively. This scenario necessitates further lamotrigine dose adjustments. : The developed lamotrigine PBPK model offers a strategy for assisting clinicians in TDM and dose adjustment for special populations, thereby offering a reference (PK parameters, as well as peak and valley concentrations to reach a steady state) for a safer administration regimen in clinical treatment.
拉莫三嗪在成人和儿童癫痫及双相情感障碍的治疗中起着关键作用。然而,其在儿科患者首次或长期治疗中的药代动力学(PK)行为以及肾功能损害患者的药物暴露变化尚未得到充分表征。该研究的目的是建立一个强大的基于生理的拉莫三嗪药代动力学(PBPK)模型,以预测不同人群的药物暴露情况,从而促进治疗药物监测(TDM)并指导给药方案。:在PK-sim中整合拉莫三嗪的物理化学参数值,在成年人群中建立并验证模型。这个成人PBPK模型可以外推到儿童和肾功能损害患者,以预测PK变化。:大多数观察数据在预测血浆浓度周围变异性的第5和第95百分位数区间内。该模型预测了美国食品药品监督管理局(FDA)推荐的用于成人和2至12岁儿童癫痫初始和长期治疗的临床安全有效剂量的药代动力学阈值和暴露值。值得注意的是,重度肾功能损害和终末期肾病患者的曲线下面积平均分别增加了1.51倍和1.62倍。这种情况需要进一步调整拉莫三嗪剂量。:所开发的拉莫三嗪PBPK模型为协助临床医生进行TDM和特殊人群的剂量调整提供了一种策略,从而为临床治疗中更安全的给药方案提供参考(PK参数以及达到稳态的峰谷浓度)。