The successful identification of promising investigational therapies for the treatment of epilepsy can be credited to the use of numerous animal models of seizure and epilepsy for over 80Â years. In this time, the maximal electroshock test in mice and rats, the subcutaneous pentylenetetrazol test in mice and rats, and more recently the 6Â Hz assay in mice, have been utilized as primary models of electrically or chemically-evoked seizures in neurologically intact rodents. In addition, rodent kindling models, in which chronic network hyperexcitability has developed, have been used to identify new agents. It is clear that this traditional screening approach has greatly expanded the number of marketed drugs available to manage the symptomatic seizures associated with epilepsy. In spite of the numerous antiseizure drugs (ASDs) on the market today, the fact remains that nearly 30% of patients are resistant to these currently available medications. To address this unmet medical need, the National Institute of Neurological Disorders and Stroke (NINDS) Epilepsy Therapy Screening Program (ETSP) revised its approach to the early evaluation of investigational agents for the treatment of epilepsy in 2015 to include a focus on preclinical approaches to model pharmacoresistant seizures. This present report highlights the in vivo and in vitro findings associated with the initial pharmacological validation of this testing approach using a number of mechanistically diverse, commercially available antiseizure drugs, as well as several probe compounds that are of potential mechanistic interest to the clinical management of epilepsy.
Validation of a Preclinical Drug Screening Platform for Pharmacoresistant Epilepsy.
耐药性癫痫临床前药物筛选平台的验证
阅读:6
作者:Barker-Haliski Melissa L, Johnson Kristina, Billingsley Peggy, Huff Jennifer, Handy Laura J, Khaleel Rizvana, Lu Zhenmei, Mau Matthew J, Pruess Timothy H, Rueda Carlos, Saunders Gerald, Underwood Tristan K, Vanegas Fabiola, Smith Misty D, West Peter J, Wilcox Karen S
| 期刊: | Neurochemical Research | 影响因子: | 3.800 |
| 时间: | 2017 | 起止号: | 2017 Jul;42(7):1904-1918 |
| doi: | 10.1007/s11064-017-2227-7 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
