Literature DB >> 25943585

Modeling early-onset post-ischemic seizures in aging mice.

Chiping Wu1, Justin Wang1, Jessie Peng1, Nisarg Patel1, Yayi Huang1, Xiaoxing Gao1, Salman Aljarallah2, James H Eubanks3, Robert McDonald4, Liang Zhang5.   

Abstract

Stroke is the leading cause of seizures and epilepsy in the aged population, with post-stroke seizures being a poor prognostic factor. The pathological processes underlying post-stroke seizures are not well understood and studies of these seizures in aging/aged animals remain scarce. Therefore, our primary objective was to model post-stroke seizures in aging mice (C57 black strain, 16-20 months-old), with a focus on early-onset, convulsive seizures that occur within 24-hours of brain ischemia. We utilized a middle cerebral artery occlusion model and examined seizure activity and brain injury using combined behavioral and electroencephalographic monitoring and histological assessments. Aging mice exhibited vigorous convulsive seizures within hours of the middle cerebral artery occlusion. These seizures manifested with jumping, rapid running, barrel-rolling and/or falling all in the absence of hippocampal-cortical electrographic discharges. Seizure development was closely associated with severe brain injury and acute mortality. Anticonvulsive treatments after seizure occurrence offered temporary seizure control but failed to improve animal survival. A separate cohort of adult mice (6-8 months-old) exhibited analogous early-onset convulsive seizures following the middle cerebral artery occlusion but had better survival outcomes following anticonvulsive treatment. Collectively, our data suggest that early-onset convulsive seizures are a result of severe brain ischemia in aging animals.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Animal model; Anticonvulsant; Convulsion; EEG; Epilepsy; Ischemia; Mice; Seizures; Stroke

Mesh:

Substances:

Year:  2015        PMID: 25943585      PMCID: PMC4758832          DOI: 10.1016/j.expneurol.2015.04.018

Source DB:  PubMed          Journal:  Exp Neurol        ISSN: 0014-4886            Impact factor:   5.330


  80 in total

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