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A mouse model of weight-drop closed head injury: emphasis on cognitive and neurological deficiency
- Source :
- Neural Regeneration Research, Vol 11, Iss 4, Pp 630-635 (2016), Neural Regeneration Research
- Publication Year :
- 2016
- Publisher :
- Wolters Kluwer Medknow Publications, 2016.
-
Abstract
- Traumatic brain injury (TBI) is a leading cause of death and disability in individuals worldwide. Producing a clinically relevant TBI model in small-sized animals remains fairly challenging. For good screening of potential therapeutics, which are effective in the treatment of TBI, animal models of TBI should be established and standardized. In this study, we established mouse models of closed head injury using the Shohami weight-drop method with some modifications concerning cognitive deficiency assessment and provided a detailed description of the severe TBI animal model. We found that 250 g falling weight from 2 cm height produced severe closed head injury in C57BL/6 male mice. Cognitive disorders in mice with severe closed head injury could be detected using passive avoidance test on day 7 after injury. Findings from this study indicate that weight-drop injury animal models are suitable for further screening of brain neuroprotectants and potentially are similar to those seen in human TBI.
- Subjects :
- 0301 basic medicine
medicine.medical_specialty
Traumatic brain injury
Male mice
passive avoidance
lcsh:RC346-429
03 medical and health sciences
0302 clinical medicine
Animal model
Physical medicine and rehabilitation
Developmental Neuroscience
medicine
weight-drop injury model
nerve regeneration
C57BL/6 mice
lcsh:Neurology. Diseases of the nervous system
Cause of death
traumatic brain injury
Cognition
medicine.disease
Weight drop
Surgery
030104 developmental biology
nervous system
Closed head injury
neurological severity score
neural regeneration
Passive avoidance
Psychology
030217 neurology & neurosurgery
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 16735374
- Volume :
- 11
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Neural Regeneration Research
- Accession number :
- edsair.doi.dedup.....9ee526b430311b1f7f8935ffdd91ca23