【癫痫的诊断与治疗:从发作控制到针对性干预】。

Q3 Medicine
X Wang
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引用次数: 0

摘要

癫痫管理正在经历根本性的范式转变,从癫痫控制转向精准医疗。尽管抗癫痫药物不断创新,但仍有大约三分之一的患者出现耐药性癫痫,这凸显了传统对症治疗的局限性。近年来,跨学科的融合催生了一系列突破性技术:脑类器官技术在模拟遗传性癫痫的病理特征方面表现出卓越的能力,为个性化药物筛选和疾病改善治疗提供了革命性的工具;多模态脑网络成像揭示了癫痫的神经网络特征,推动了治疗模式向基于神经网络的精确干预的转变;人工智能驱动的药物靶点预测、新型纳米药物传递系统和基因编辑技术的协同应用为干预疾病进展提供了创新策略。展望未来,建立标准化的生物标志物体系,开展现实世界的研究,优化临床指南,将进一步推动癫痫治疗从发作控制到疾病改变,为患者带来新的治疗希望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Diagnosis and treatment of epilepsy: from seizure control to targeted intervention].

Epilepsy management is experiencing a fundamental paradigm shift, moving beyond seizure control toward precision medicine. Despite continuous innovation in antiseizure medications, approximately one-third of patients still develop drug-resistant epilepsy, highlighting the limitations of traditional symptomatic treatment. In recent years, interdisciplinary convergence has catalyzed a series of breakthrough technologies: cerebral organoid technology demonstrates exceptional capability in modeling pathological features of genetic epilepsy, providing revolutionary tools for personalized drug screening and disease-modifying therapy; multimodal brain network imaging has revealed neural network characteristics of epilepsy, driving the transition of treatment models toward precise neural network-based interventions; the synergistic application of AI-driven drug target prediction, novel nano-drug delivery systems, and gene editing technologies offers innovative strategies for intervening in disease progression. Looking ahead, establishing standardized biomarker systems, conducting real-world studies, and optimizing clinical guidelines will further advance epilepsy treatment from seizure control to disease modification, bringing new therapeutic hope to patients.

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来源期刊
Zhonghua yi xue za zhi
Zhonghua yi xue za zhi Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
400
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