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Rodent Models of Stroke pp 93–119Cite as

Modeling Risk Factors and Confounding Effects in Stroke

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Part of the book series: Neuromethods ((NM,volume 47))

Abstract

Most research to date has used experimental models in rodents which fail to mimic the underlying causes of stroke in patients or the primary confounding factors. Available data indicate that factors such as atherosclerosis, hypertension, obesity, diabetes, age, and inflammation have a major influence on outcome. These findings suggest that we need to rethink the preclinical data that are required before selection of candidate interventions for clinical trials in stroke.

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Acknowledgments

The authors are supported by the Medical Research Council, the Biotechnology and Biological Research Council, the European Union through the ARISE consortium, and the Australian National Health and Medical Research Council.

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Authors and Affiliations

  1. Faculty of Life Sciences, University of Manchester, Manchester, UK

    Barry McColl, Nancy Rothwell & Adam Denes

  2. Faculty of Medicine, Dentistry & Health Sciences, The Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia

    David Howells

  3. The National Stroke Research Institute, Florey Neuroscience Institute, Heidelberg Heights, VIC, Australia

    David Howells

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  1. Barry McColl
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  2. David Howells
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  3. Nancy Rothwell
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  4. Adam Denes
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Editors and Affiliations

  1. Charité Campus Mitte, Centrum für Schlaganfall-Forschung, Charité - Universitätsmedizin Berlin, Charitéplatz 1, Berlin, 10098, Germany

    Ulrich Dirnagl

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McColl, B., Howells, D., Rothwell, N., Denes, A. (2010). Modeling Risk Factors and Confounding Effects in Stroke. In: Dirnagl, U. (eds) Rodent Models of Stroke. Neuromethods, vol 47. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-60761-750-1_9

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  • DOI: https://doi.org/10.1007/978-1-60761-750-1_9

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