Expressive proteomics profile changes of injured human brain cortex due to acute brain trauma

Objective: To find the expressive proteomics changes in damaged human brain cortex after traumatic brain injury (TBI). Method: By rapid high-throughput and precise proteomic techniques, the traumatic injured human frontal cortexes were compared with non-trauma controls. Results: On 2-DE PAGE, 138 pr...

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Bibliographic Details
Published in:Brain injury 2009-01, Vol.23 (10), p.830-840
Main Authors: Yang, Xinyu, Yang, Shuyuan, Wang, Jie, Zhang, Xuemin, Wang, Chen, Hong, Guoliang
Format: Article
Language:English
Subjects:
Adult
Aged
Brain Injuries - metabolism
Brain Injuries - physiopathology
Cerebral Cortex - metabolism
Cerebral Cortex - physiopathology
cortex
Female
human
Humans
Male
Middle Aged
Proteome - metabolism
proteomics
Proteomics - methods
Reference Values
Traumatic brain injury
Young Adult
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Summary:Objective: To find the expressive proteomics changes in damaged human brain cortex after traumatic brain injury (TBI). Method: By rapid high-throughput and precise proteomic techniques, the traumatic injured human frontal cortexes were compared with non-trauma controls. Results: On 2-DE PAGE, 138 protein spots were found significantly different on expressive level of quantitative mature. Most of these proteins expressed in a fluctuant fashion within 18 hours after trauma, with mean levels lower than control. Eighty-two protein spots were identified by MALDI-MS TOF, which were products of 71 proteins and could be grouped into 10 categories based on possible functions: cytoskeleton (n = 10), metabolism (n = 13), electron transport (n = 8), signalling transduction (n = 4), stress response (n = 6), protein synthesis and turnover (n = 8), transporter (n = 5), cell cycle (n = 1), other (n = 8) and unknown (n = 9). Conclusion: After traumatic brain injury, there are significant proteins expressing changes in damaged brain tissue. These proteins may play a critical role in TBI. Although some of these proteins functions are not fully understood, they may become novel biomarkers and novel therapy targets in the future.
ISSN:0269-9052
1362-301X
DOI:10.1080/02699050903196670