Chapter title |
Thromboembolic Model of Cerebral Ischemia and Reperfusion in Mice.
|
---|---|
Chapter number | 20 |
Book title |
Injury Models of the Central Nervous System
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3816-2_20 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3814-8, 978-1-4939-3816-2
|
Authors |
Ali Alawieh, Wenxue Wang, Aarti Narang, Stephen Tomlinson Ph.D., Stephen Tomlinson |
Editors |
Firas H. Kobeissy, C. Edward Dixon, Ronald L. Hayes, Stefania Mondello |
Abstract |
Ischemic stroke is the fourth leading cause of death in the USA and a prominent cause of death globally. Besides thrombolytic therapy used in a small subset of patients, no alternative therapeutic strategy has been shown to improve the outcome of stroke patients. Preclinical models of ischemic stroke are an essential tool for investigating pathogenic processes that happen after the ischemic insult, as well as to screen for candidate therapeutic interventions. There are several models of rodent ischemic stroke including mechanical occlusion, thromboembolic stroke, and photothrombotic stroke. However, models that permit studying stroke in the context of thrombolytic therapy, such as thromboembolic models, are becoming of increasing interest to the research community. In this chapter, we describe a thromboembolic model of ischemic stroke with and without tissue-plasminogen activator-induced reperfusion. We describe protocols for microemboli preparation, surgical procedure, and post-stroke assessment of animals. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 26% |
Researcher | 6 | 14% |
Student > Bachelor | 4 | 9% |
Student > Master | 4 | 9% |
Student > Doctoral Student | 3 | 7% |
Other | 9 | 21% |
Unknown | 6 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 11 | 26% |
Medicine and Dentistry | 6 | 14% |
Biochemistry, Genetics and Molecular Biology | 3 | 7% |
Engineering | 2 | 5% |
Computer Science | 2 | 5% |
Other | 9 | 21% |
Unknown | 10 | 23% |