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Published in: The Cerebellum 1/2015

01-02-2015 | Review

Remote Degeneration: Insights from the Hemicerebellectomy Model

Authors: Maria Teresa Viscomi, Laura Latini, Elisa Bisicchia, Valeria Sasso, Marco Molinari

Published in: The Cerebellum | Issue 1/2015

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Abstract

When CNS lesions develop, neuronal degeneration occurs locally but in regions that are remote, yet functionally connected, to the primary lesion site. This process, known as “remote damage,” significantly affects long-term outcomes in many CNS pathologies, such as stroke, multiple sclerosis, and traumatic brain and spinal cord injuries. Remote damage can last several days or months after the primary lesion, providing a window during which therapeutic approaches can be implemented to effect neuroprotection. The recognition of the importance of remote damage in determining disease outcomes has prompted considerable interest in examining remote damage-associated mechanisms, most of which is derived from the potential of this research to develop innovative pharmacological approaches for preserving neurons and improving functional outcomes. To this end, the hemicerebellectomy (HCb) experimental paradigm has been instrumental in highlighting the complexity and variety of the systems that are involved, identifying mechanisms of life/death decisions, and providing a testing ground for novel neuroprotective approaches. Inflammation, oxidative stress, apoptosis, autophagy, and neuronal changes in receptor mosaics are several remote damage mechanisms that have been identified and examined using the HCb model. In this review, we discuss our current understanding of remote degeneration mechanisms and their potential for exploitation with regard to neuroprotective approaches, focusing on HCb studies.
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Metadata
Title
Remote Degeneration: Insights from the Hemicerebellectomy Model
Authors
Maria Teresa Viscomi
Laura Latini
Elisa Bisicchia
Valeria Sasso
Marco Molinari
Publication date
01-02-2015
Publisher
Springer US
Published in
The Cerebellum / Issue 1/2015
Print ISSN: 1473-4222
Electronic ISSN: 1473-4230
DOI
https://doi.org/10.1007/s12311-014-0603-2

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