Jang Yoonhyuk, Ahn Seon-Jae, Lee Soyoung, Kim Yongmoo, Lee Han Sang, Lee Yoon-Kyung, Shin Yong Woo, Lee Soon-Tae, Jung Keun-Hwa, Park Kyung-Il, Jung Ki-Young, Cho Joo-Youn, Lee SeungHwan, Yu Kyung-Sang, Chu Kon, Jang In-Jin, Lee Sang Kun
Laboratory for Neurotherapeutics, Department of Neurology, Comprehensive Epilepsy Center, Center for Medical Innovation, Biomedical Research Institute, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea.
Sci Rep. 2025 May 31;15(1):19181. doi: 10.1038/s41598-025-04044-x.
Saliva, known for better patient compliance and simpler collection, is ideal for monitoring antiseizure medication (ASM) levels. This study aimed to validate saliva for measuring lacosamide, develop a pharmacokinetic (PK) model, and determine the optimal saliva concentration for seizure control in epilepsy patients. In our prospective study at Seoul National University Hospital from August 2021 to November 2022, we enrolled lacosamide-prescribed epilepsy patients, collecting their saliva and blood samples. We developed a population PK model with nonlinear mixed-effects modeling, incorporating a saliva compartment and plasma-to-saliva distribution scaling factor. The model, factoring in CYP2C19 genotypes, demographics, and concurrent ASM use, estimated optimal saliva lacosamide concentration cutoffs for well-controlled seizures in high seizure burden patients. These values were validated through a two-year longitudinal analysis. In our study, 123 epilepsy patients prescribed lacosamide were finally analyzed. We identified 74 matched pairs of blood and saliva samples, finding a linear relationship between their lacosamide concentrations (R = 0.62, P < 0.001). Using our PK model, we estimated individual peak (C) and trough concentrations in saliva and blood based on dosage, determining optimal saliva cutoffs for well-controlled seizure status in lacosamide: 15.94 mg/L for C and 9.056 mg/L for trough, with 72.7% sensitivity and 88.2% specificity. Longitudinal analysis showed well-controlled seizure status achievement aligning with times when estimated C and trough surpassed these cutoffs. Our research presents the potential and validity of using saliva concentration as an alternative to blood concentration for lacosamide TDM, advancing personalized pharmacotherapy in epilepsy treatment.
唾液因患者依从性更好且采集更简便而闻名,是监测抗癫痫药物(ASM)水平的理想选择。本研究旨在验证唾液用于测定拉科酰胺的可行性,建立药代动力学(PK)模型,并确定癫痫患者控制癫痫发作的最佳唾液浓度。在我们于2021年8月至2022年11月在首尔国立大学医院进行的前瞻性研究中,我们招募了服用拉科酰胺的癫痫患者,采集他们的唾液和血液样本。我们采用非线性混合效应建模开发了一个群体PK模型,纳入了唾液隔室和血浆到唾液的分布比例因子。该模型考虑了CYP2C19基因型、人口统计学特征以及同时使用的ASM,估计了高癫痫发作负担患者癫痫发作得到良好控制时的最佳唾液拉科酰胺浓度临界值。这些值通过为期两年的纵向分析得到了验证。在我们的研究中,最终分析了123名服用拉科酰胺的癫痫患者。我们确定了74对匹配的血液和唾液样本,发现它们的拉科酰胺浓度之间存在线性关系(R = 0.62,P < 0.001)。使用我们的PK模型,我们根据剂量估计了唾液和血液中的个体峰值(C)和谷浓度,确定了拉科酰胺控制癫痫发作状态良好时的最佳唾液临界值:C为15.94 mg/L,谷浓度为9.056 mg/L,敏感性为72.7%,特异性为88.2%。纵向分析表明,癫痫发作得到良好控制的状态与估计的C和谷浓度超过这些临界值的时间一致。我们的研究展示了使用唾液浓度替代血液浓度进行拉科酰胺治疗药物监测(TDM)的潜力和有效性,推动了癫痫治疗中的个性化药物治疗。