Experimental models of epilepsy

Author:

Stanojlovic Olivera1,Zivanovic Dragana1

Affiliation:

1. Institut za fiziologiju, Medicinski fakultet, Beograd

Abstract

Introduction An epileptic seizure is a clinical event and epilepsy is rather a group of symptoms than a disease. The main features all epilepsies have in common include: spontaneous occurrence, repetitiveness, and ictal correlation within the EEG. Epilepsies are manifested with distinct EEG changes, requiring exact clinical definition and consequential treatment. Current data show that 1% of the world's population (approximately 50 million people) suffers from epilepsy, with 25% of patients being refractory to therapy and requiring search for new substances in order to decrease EEG and behavioral manifestations of epilepsies. Material and methods In regard to discovery and testing of anticonvulsant substances the best results were achieved by implementation of experi- mental models. Animal models of epilepsy are useful in acquiring basic knowledge regarding pathogenesis, neurotransmitters (glutamate), receptors (NMDA/AMPA/kainate), propagation of epileptic seizures and preclinical assessment of antiepileptics (competitive and non-competitive NMDA antagonists). Results and conclusions In our lab, we have developed a pharmacologic model of a (metaphit, NMDA and remacemide-cilastatin) generalized, reflex, and audiogenic epilepsy. The model is suitable for testing various anticonvulsant substances (e.g. APH, APV, CPP, Mk-801) and potential antiepileptics (e.g. DSIP, its tetra- and octaanalogues).

Publisher

National Library of Serbia

Subject

General Medicine

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3