Modern aspects of cerebral stroke modeling
Abstract
Modelling of cerebral stroke plays a key role in studying the mechanisms of pathogenesis, diagnosis and development of new effective therapies. The aim of the study is to critical analysis of data on methods of modeling ischemic and hemorrhagic stroke presented in peer-reviewed sources indexed in the databases Pubmed and the Russian Science Citation Index for the period 2020-2024.. Results and conclusions. Experimental modeling of cerebral stroke includes in vitro, in vivo and in silico approaches. In vitro modeling allows us to study the molecular and cellular mechanisms of damage to nervous tissue, but does not fully reflect the complex intercellular interactions in response to the action of a damaging factor. In silico modeling is based on computational neuroscience methods, allowing to develop mathematical models for predicting the course and outcomes of acute cerebrovascular injury and to study individual mechanisms of damage to nervous tissue In vivo modeling is an economically profitable, highly reproducible approach, due to the wide availability of laboratory animals and provides low financial costs for their maintenance. The most preferred models of ischemic and hemorrhagic stroke are endovascular filamentous occlusion of the middle cerebral artery, collagenase and balloon models of parenchymal hemorrhage induction, since they allow the most accurate modeling of acute cerebrovascular damage to the human brain in animal models.
About the Authors
M. V. Osikov
South-Urals State Medical University, Ministry of Health of Russia; Chelyabinsk Regional Clinical Hospital
Russian Federation
Russian Federation
Chelyabinsk
A. V. Shelomentsev
South-Urals State Medical University, Ministry of Health of Russia; Chelyabinsk Regional Clinical Therapeutic Hospital for War Veterans
Russian Federation
Russian Federation
Chelyabinsk
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Review
For citations:
Osikov M.V., Shelomentsev A.V. Modern aspects of cerebral stroke modeling. Title in english. 2024;19(4):34-39. (In Russ.)
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