Lin Chih-Hsiang, Ho Chen-Jui, Chen Shih-Ying, Lu Yan-Ting, Tsai Meng-Han
Department of Neurology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Front Pharmacol. 2024 Aug 20;15:1411487. doi: 10.3389/fphar.2024.1411487. eCollection 2024.
Antiseizure medications (ASMs) play a central role in seizure management, however, unpredictability in the response to treatment persists, even among patients with similar seizure manifestations and clinical backgrounds. An objective biomarker capable of reliably predicting the response to ASMs would profoundly impact epilepsy treatment. Presently, clinicians rely on a trial-and-error approach when selecting ASMs, a time-consuming process that can result in delays in receiving alternative non-pharmacological therapies such as a ketogenetic diet, epilepsy surgery, and neuromodulation therapies. Pharmacogenetic studies investigating the correlation between ASMs and genetic variants regarding their mechanistic targets offer promise in predicting the response to treatment. Sodium channel subunit genes have been extensively studied along with other ion channels and receptors as targets, however, the results have been conflicting, possibly due to methodological disparities including inconsistent definitions of drug response, variations in ASM combinations, and diversity of genetic variants/genes studied. Nonetheless, these studies underscore the potential effect of genetic variants on the mechanism of ASMs and consequently the prediction of treatment response. Recent advances in sequencing technology have led to the generation of large genetic datasets, which may be able to enhance the predictive accuracy of the response to ASMs.
抗癫痫药物(ASMs)在癫痫治疗中起着核心作用,然而,即使在具有相似癫痫发作表现和临床背景的患者中,治疗反应的不可预测性仍然存在。一种能够可靠预测对ASMs反应的客观生物标志物将对癫痫治疗产生深远影响。目前,临床医生在选择ASMs时依赖试错法,这是一个耗时的过程,可能导致接受替代非药物治疗(如生酮饮食、癫痫手术和神经调节治疗)的延迟。研究ASMs与其作用机制靶点的基因变异之间相关性的药物遗传学研究为预测治疗反应带来了希望。钠通道亚基基因以及其他离子通道和受体作为靶点已被广泛研究,然而,结果一直存在矛盾,这可能是由于方法学上的差异,包括药物反应定义不一致、ASM组合的变化以及所研究的基因变异/基因的多样性。尽管如此,这些研究强调了基因变异对ASMs作用机制的潜在影响,从而对治疗反应的预测产生影响。测序技术的最新进展导致了大型遗传数据集的产生,这可能能够提高对ASMs反应的预测准确性。