按需癫痫发作有助于快速筛选癫痫治疗药物

Yuzhang Chen, Brian Litt, Flavia Vitale, Hajime Takano
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摘要

癫痫动物模型在药物开发和治疗测试中至关重要,但用于药物评估的主流方法需要在高通量和病因相关性之间做出权衡。例如,在颞叶癫痫这种发作源于海马等边缘结构的癫痫类型中,主要的筛选模型要么基于野生型、天真动物的急性诱导发作,要么基于慢性癫痫动物的自发发作。这两种方法都有其缺点--急性惊厥剂或点燃诱导的癫痫发作无法解释患病癫痫动物大脑中无数的神经病理变化,而慢性癫痫模型中的自发行为性癫痫发作很少,因此需要耗费大量时间才能获得足够的实验能量。在本研究中,我们采用了一种机理方法来 "按需 "诱发慢性癫痫小鼠的癫痫发作。我们对患病海马 CA1 区的主细胞进行了短暂同步化处理,从而可靠地诱发了刻板的 "按需 "行为性癫痫发作。这些诱导的癫痫发作类似于癫痫动物自然发生的自发性癫痫发作,并且可以被常用的抗癫痫药物(如左乙拉西坦和地西泮)所阻止。此外,我们还发现,诱发慢性癫痫动物癫痫发作的方法与诱发幼稚动物癫痫发作的方法不同,这凸显了在患病回路中评估治疗方法的重要性。总之,我们希望我们的模型能加快对颞叶癫痫的药物干预和闭环干预的评估速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On-Demand Seizures Facilitate Rapid Screening of Therapeutics for Epilepsy.

Animal models of epilepsy are critical in drug development and therapeutic testing, but dominant methods for pharmaceutical evaluation face a tradeoff between higher throughput and etiological relevance. For example, in temporal lobe epilepsy, a type of epilepsy where seizures originate from limbic structures like the hippocampus, the main screening models are either based on acutely induced seizures in wild type, naïve animals or spontaneous seizures in chronically epileptic animals. Both types have their disadvantages - the acute convulsant or kindling induced seizures do not account for the myriad neuropathological changes in the diseased, epileptic brains, and spontaneous behavioral seizures are sparse in the chronically epileptic models, making it time-intensive to sufficiently power experiments. In this study, we took a mechanistic approach to precipitate seizures "on demand" in chronically epileptic mice. We briefly synchronized principal cells in the CA1 region of the diseased hippocampus to reliably induce stereotyped on-demand behavioral seizures. These induced seizures resembled naturally occurring spontaneous seizures in the epileptic animals and could be stopped by commonly prescribed anti-seizure medications such as levetiracetam and diazepam. Furthermore, we showed that seizures induced in chronically epileptic animals differed from those in naïve animals, highlighting the importance of evaluating therapeutics in the diseased circuit. Taken together, we envision our model to advance the speed at which both pharmacological and closed loop interventions for temporal lobe epilepsy are evaluated.

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