Rodent Models of Stroke

ISBN-13: 9781607617495 / Angielski / Twarda / 2010 / 286 str.

Ulrich Dirnagl

Opis

In view of the numerous failures of clinical trials aimed at improving stroke therapy, the role and potential benefit of experimentally modeling focal cerebral ischemia in rodents has been debated. When methods of systematic review and metaanalyis are applied, however, it turns out that experimental models actually faithfully predicted the negative outcomes of clinical trials. In addition, thrombolysis and neuroprotection by hypothermia, first described in animal models, are key examples of treatment modalities that have made it successfully into clinical practice. In Rodent Models of Stroke, an international consortium of authors aims at critically addressing the issues on a very practical level, from choosing the model and outcome measures, designing the experiment, conducting and analyzing it, to reporting it in a scientific publication. The structure and content of the book reflect both the authors' longstanding expertise in experimental and clinical stroke research and their roles in training the scientific community in the tools of the trade. As a volume in the successful Neuromethods series, the chapters provide authoritative reviews of the most commonly used, well-honed approaches in the field today. Stimulating and easy-to-use, Rodent Models of Stroke will help its readers understand the limitations and the opportunities of modeling stroke in rodents and enable them to conduct experiments which will not only improve our understanding of the pathophysiology of this devastating disorder but also serve as the basis for developing new highly effective treatments.

Recenzje

From the reviews:

"Rodent Models of Stroke by U. Dirnagl is simply the best ischemia book on principles, theory, protocols, and techniques which has been written over the past 25 years. ... This book is aimed at a broad audience on ischemia research including graduate students, postgraduate scholars, junior faculty, and senior seasoned investigators. ... In short, this is an ideal textbook for being a primer or a detailed reference to refer to. I highly recommend it." (Joseph J. Grenier, Amazon.com, September, 2013)

Spis treści

1. From Bedside to Bench: How Clinical Reality Should Instruct Stroke Modeling Pauline Patak and Dirk M. Hermann 2. How to Avoid Bumping into the Translational Roadblock Malcolm Macleod 3. Modeling Focal Cerebral Ischemia in Rodents: Introduction and Overview Vincent Prinz and Matthias Endres 4. Focal Cerebral Ischemia in the Mouse and Rat Using the Intraluminal Suture-Filament Model Ludmila Belayev, Matthias Endres, and Vincent Prinz 5. Focal Ischemia Models: Middle Cerebral Artery Occlusion Induced by Electrocoagulation, Occluding Devices, and Endothelin-1 I. Mhairi Macrae 6. Rodent Models of Thromboembolic Stroke Cyrille Orset, Benoit Haelewyn, Kilian Vivien, Denis Vivien, and Alan R. Young 7. Photochemical and Endothelin Models of Focal Brain Ischemia Otto W. Witte 8. Housing in an Enriched Environment: A Tool to Study Functional Recovery after Experimental Stroke Karsten Ruscher and Tadeusz Wieloch 9. Modeling Risk Factors and Confounding Effects in Stroke Barry McColl, David Howells, Nancy Rothwell, and Adam Denes 10. Effect of Anesthesia in Stroke Models Richard J. Traystman 11. Non-Invasive Brain Imaging in Small Animal Stroke Models: MRI and PET Anna M. Planas 12. Noninvasive Optical Imaging in Small Animal Models of Stroke Andreas Wunder and Jan Klohs 13. Behavioral Testing in Mouse Models of Stroke Mustafa Balkaya and Matthias Endres 14. Behavioral Testing in Rodent Models of Stroke Gerlinde A. Metz 15. Histology and Infarct Volume Determination Clemens Sommer 16. Ethics of Modeling of Cerebral Ischemia in Small Animals Ute Lindauer 17. Quality Control and Standard Operating Procedures Ulrich Dirnagl 18. Statistics in Experimental Stroke Research: From Sample Size Calculation to Data Description and Significance Testing Ulrich Dirnagl 19. Complexities, Confounders, and Challenges in Experimental Stroke Research: A Checklist for Researchers and Reviewers Ulrich Dirnagl