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癫痫动物模型中所报告的结局指标的识别与特征描述:文献系统评价方案——国际抗癫痫联盟(ILAE)AES/ILAE转化工作组的TASK2报告

Identification and characterization of outcome measures reported in animal models of epilepsy: Protocol for a systematic review of the literature-A TASK2 report of the AES/ILAE Translational Task Force of the ILAE.

作者信息

Simonato Michele, Iyengar Sloka, Brooks-Kayal Amy, Collins Stephen, Depaulis Antoine, Howells David W, Jensen Frances, Liao Jing, Macleod Malcolm R, Patel Manisha, Potschka Heidrun, Walker Matthew, Whittemore Vicky, Sena Emily S

机构信息

Department of Medical Sciences, Section of Pharmacology, University of Ferrara, Ferrara, Italy.

University Vita-Salute San Raffaele, Milan, Italy.

出版信息

Epilepsia. 2017 Nov;58 Suppl 4:68-77. doi: 10.1111/epi.13908.

Abstract

Current antiseizure therapy is ineffective in approximately one third of people with epilepsy and is often associated with substantial side effects. In addition, most current therapeutic paradigms offer treatment, but not cure, and no therapies are able to modify the underlying disease, that is, can prevent or halt the process of epileptogenesis or alleviate the cognitive and psychiatric comorbidities. Preclinical research in the field of epilepsy has been extensive, but unfortunately, not all the animal models being used have been validated for their predictive value. The overall goal of TASK2 of the AES/ILAE Translational Task Force is to organize and coordinate systematic reviews on selected topics regarding animal research in epilepsy. Herein we describe our strategy. In the first part of the paper we provide an overview of the usefulness of systematic reviews and meta-analysis for preclinical research and explain the essentials for their conduct. Then we describe in detail the protocol for a first systematic review, which will focus on the identification and characterization of outcome measures reported in animal models of epilepsy. The specific goals of this study are to define systematically the phenotypic characteristics of the most commonly used animal models, and to effectively compare these with the manifestations of human epilepsy. This will provide epilepsy researchers with detailed information on the strengths and weaknesses of epilepsy models, facilitating their refinement and future research. Ultimately, this could lead to a refined use of relevant models for understanding the mechanism(s) of the epilepsies and developing novel therapies.

摘要

目前的抗癫痫治疗对大约三分之一的癫痫患者无效,且常常伴有严重的副作用。此外,当前大多数治疗模式只能提供治疗,而非治愈,并且没有任何疗法能够改变潜在疾病,即无法预防或阻止癫痫发生的过程,也无法缓解认知和精神方面的合并症。癫痫领域的临床前研究已经很广泛,但不幸的是,并非所有正在使用的动物模型都已通过其预测价值的验证。美国癫痫学会/国际抗癫痫联盟转化任务组任务2的总体目标是组织和协调关于癫痫动物研究选定主题的系统评价。在此我们描述我们的策略。在本文的第一部分,我们概述了系统评价和荟萃分析对临床前研究的有用性,并解释了进行这些研究的要点。然后我们详细描述了首次系统评价的方案,该评价将聚焦于癫痫动物模型中所报告的结局指标的识别和特征描述。本研究的具体目标是系统地定义最常用动物模型的表型特征,并将这些特征与人类癫痫的表现进行有效比较。这将为癫痫研究人员提供有关癫痫模型优缺点的详细信息,有助于对模型进行改进以及未来的研究。最终,这可能会导致更精准地使用相关模型来理解癫痫的发病机制并开发新的疗法。

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