Literature DB >> 17726491

Intracerebral hemorrhage models in rat: comparing collagenase to blood infusion.

Crystal L MacLellan1, Gergely Silasi, Candice C Poon, Carmen L Edmundson, Richard Buist, James Peeling, Frederick Colbourne.   

Abstract

Many therapies have shown promise in preclinical stroke studies, but few benefit patients. A greater understanding of stroke pathophysiology is needed to successfully develop therapies, and this depends on appropriate animal models. The collagenase and blood infusion models of intracerebral hemorrhage (ICH) are widely used; yet, investigators often prefer using one model for a variety of reasons. Thus, we directly compared these to highlight advantages and limitations of each as well as the assessment approach. An ICH was created by infusing blood or bacterial collagenase into the rats' striatum. We matched initial hematoma volume in each model (Experiment 1) and assessed the time course of bleeding (Experiment 2). Functional deficits and the progression of injury were tracked over 6 weeks using behavior, magnetic resonance imaging, and histology (Experiment 3). Despite similar initial hematoma volumes, collagenase-induced ICH resulted in a greater blood-brain barrier breakdown and more damage to the striatum, substantia nigra, white matter, and cortex. Magnetic resonance imaging revealed faster hematoma resolution in the blood model, and little increase in the volume of tissue lost from 1 to 6 weeks. In contrast, tissue loss continued over 4 weeks in the collagenase model. Finally, functional deficits recovered more quickly and completely in the blood model. This study highlights key differences between these models and that neither closely replicates the human condition. Thus, both should be used whenever possible taking into account the significant differences between these models and their limitations. Furthermore, this work illustrates significant weaknesses with several outcome measures.

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Year:  2007        PMID: 17726491     DOI: 10.1038/sj.jcbfm.9600548

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  147 in total

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Authors:  Hao Li; Haochen Xu; Hongyan Wen; Tianlong Liu; Yingying Sun; Ning Xiao; Congxia Bai; Jing Ge; Xuliang Wang; Li Song; Yan Song; Yinhui Zhang; Jingzhou Chen
Journal:  J Cereb Blood Flow Metab       Date:  2018-12-05       Impact factor: 6.200

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3.  Fibroblast growth factors preserve blood-brain barrier integrity through RhoA inhibition after intracerebral hemorrhage in mice.

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Journal:  Neurobiol Dis       Date:  2012-01-24       Impact factor: 5.996

4.  Vascular recovery promoted by atorvastatin and simvastatin after experimental intracerebral hemorrhage: magnetic resonance imaging and histological study.

Authors:  Dongmei Yang; Robert A Knight; Yuxia Han; Kishor Karki; Jianfeng Zhang; Christopher Ding; Michael Chopp; Donald M Seyfried
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5.  Bipyridine, an iron chelator, does not lessen intracerebral iron-induced damage or improve outcome after intracerebral hemorrhagic stroke in rats.

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6.  Intracerebral hemorrhage: clinical overview and pathophysiologic concepts.

Authors:  Fred Rincon; Stephan A Mayer
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7.  Elevated blood pressure causes larger hematoma in a rat model of intracerebral hemorrhage.

Authors:  Prerana M Bhatia; Ryan Chamberlain; Xianghua Luo; Eliza W Hartley; Afshin A Divani
Journal:  Transl Stroke Res       Date:  2012-07-25       Impact factor: 6.829

8.  Do current animal models of intracerebral hemorrhage mirror the human pathology?

Authors:  Opeolu Adeoye; Joseph F Clark; Pooja Khatri; Kenneth R Wagner; Mario Zuccarello; Gail J Pyne-Geithman
Journal:  Transl Stroke Res       Date:  2010-08-10       Impact factor: 6.829

Review 9.  Intracerebral hemorrhage in mouse models: therapeutic interventions and functional recovery.

Authors:  Balachandar Kathirvelu; S Thomas Carmichael
Journal:  Metab Brain Dis       Date:  2014-05-10       Impact factor: 3.584

Review 10.  The impact of cerebrovascular aging on vascular cognitive impairment and dementia.

Authors:  Tuo Yang; Yang Sun; Zhengyu Lu; Rehana K Leak; Feng Zhang
Journal:  Ageing Res Rev       Date:  2016-09-28       Impact factor: 10.895

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