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[Serum proteomics profiling for diagnosis of myasthenia gravis]
Guo-Yong Wu1, Jing-Zhuo Pang, Chao Cheng
1Department of Cardiothoracic Surgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China. guoyongwu2003@yahoo.com
Objective:
To identify the significant protein peaks and establish the diagnostic model of myasthenia gravis (MG) by serum proteomics profiling analysis.
Methods:
The serum samples from 56 MG patients and 16 healthy controls were detected by the technology of surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF MS). The differentially expressed protein peaks were identified to establish a MG diagnostic model. And preliminary validation was performed.
Results:
Thirty-eight specific protein peaks with significant differences were found in the serum protein pattern of 56 MG patients and 16 healthy controls. Systemic optimization identified 2 protein peaks of M4168.94 and M1122.57. And they were used to build the MG diagnostic model of differentiating 56 cases from 16 controls.
Conclusion:
The serum protein profiling can be a novel, effective and sensitive tool to screen for MG-related protein peaks and establish a diagnostic model.
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