| Home | E-Submission | Sitemap | Editorial Office |  
top_img
Journal of Korean Neurosurgical Society 2010;48(1): 8-13.
doi: https://doi.org/10.3340/jkns.2010.48.1.8
Comparative Analysis of Serum Proteomes of Moyamoya Disease and Normal Controls.
Eun Jeong Koh, Han Na Kim, Tian Ze Ma, Ha Young Choi, Yong Geun Kwak
1Department of Neurosurgery, Chonbuk National University Medical School, Jeonju, Korea. hayoungc@jbnu.ac.kr
2Department of Pharmacology, Chonbuk National University Medical School, Jeonju, Korea.
ABSTRACT
OBJECTIVE
The etiology and pathogenesis of moyamoya disease remain unclear. Furthermore, the definitive diagnostic protein-biomarkers for moyamoya disease are still unknown. The present study analyzed serum proteomes from normal controls and moyamoya patients to identify novel serological biomarkers for diagnosing moyamoya disease.
METHODS
We compared the two-dimensional electrophoresis patterns of sera from moyamoya disease patients and normal controls and identified the differentially-expressed spots by matrix-assisted laser desorption/ionization-time-of flight mass spectrometry and electrospray ionization quadruple time-of-flight mass spectrometry.
RESULTS
We found and analyzed 22 differently-expressed proteomes. Two proteins were up-regulated. Twenty proteins were down-regulated. Complement C1 inhibitor protein and apolipoprotein C-III showed predominantly changed expressions (complement C1 inhibitor protein averaged a 7.23-fold expression in moyamoya patients as compared to controls, while apolipoprotein C-III averaged a 0.066-fold expression).
CONCLUSION
Although our study had a small sample size, our proteomic data provide serologic clue proteins for understanding moyamoya disease.
Key Words: Moyamoya disease; Proteome
Editorial Office
1F, 18, Heolleung-ro 569-gil, Gangnam-gu, Seoul, Republic of Korea
TEL: +82-2-525-7552   FAX: +82-2-525-7554   E-mail: kns61@neurosurgery.or.kr
About |  Browse Articles |  Current Issue |  For Authors and Reviewers
Copyright © Korean Neurosurgical Society.                 Developed in M2PI
Close layer