4.4 Article

Critical differences between two classical surgical approaches for middle cerebral artery occlusion-induced stroke in mice

Journal

JOURNAL OF NEUROSCIENCE METHODS
Volume 249, Issue -, Pages 99-105

Publisher

ELSEVIER
DOI: 10.1016/j.jneumeth.2015.04.008

Keywords

Inflammation; Acute stroke; Animal models; Physiology; Microcirculation

Funding

  1. Malcolm Feist Cardiovascular Center, LSUHSC [591-71-6105, 549-71-611]
  2. MRC [MC_PC_12015] Funding Source: UKRI
  3. Medical Research Council [MC_PC_12015] Funding Source: researchfish

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Background: Stroke is the third leading cause of death and the leading cause of long-term disability in North America. On average, someone in the US has a stroke every 45 s, and worldwide, stroke claims 15 million lives each year. Therefore, reliable stroke models are vital to the production of effective new therapies for the treatment of this devastating cerebral vascular accident. New method: Middle cerebral artery occlusion (MCAo) is considered to be the most clinically relevant surgical model of ischemic stroke, in which a variety of methods may be employed to block the MCA (the most common being through insertion of a monofilament). In this study, we have compared two different approaches that are currently used arbitrarily in various laboratories worldwide: one involving insertion of a monofilament via the common carotid artery (Koizumi et al.) and one via the external carotid artery (Longa et al.). Results and comparisons with existing methods: We assessed various parameters, including: mortality rates, neurological scores, inflammation levels, cellular trafficking (using intravital microscopy) and infarct volumes in mice after using each of the two approaches. We found that the Longa method produced a greater, and robust, inflammatory response, versus the Koizumi method. Conclusions: In conclusion, we suggest that the Longa method is superior for the study of both short and long-term outcomes of ischemic stroke. These results have considerable implications on stroke model selection for researchers. (C) 2015 Elsevier B.V. All rights reserved.

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