Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry Combined with Magnetic Beads for Detecting Serum Protein Biomarkers in Parkinson’s Disease

• Published in: European neurology Vol. 65; no. 2; pp. 105 - 111
• Main Authors: Li, Yao-Hua, Wang, Jian, Zheng, Xiao-Li, Zhang, Yan-Li, Li, Xin, Yu, Shun, He, Xin, Chan, Piu
• Format: Journal Article
• Language: English
• Published: Basel, Switzerland S. Karger AG 01.02.2011
• Subjects: Adult; Aged; Biomarkers - blood; Blood Proteins - analysis; Female; Humans; Immunomagnetic Separation - methods; Male; Middle Aged; Original Paper; Parkinson Disease - blood; Parkinson Disease - diagnosis; Proteomics - methods; Sensitivity and Specificity; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods; Young Adult; Parkinsonߣs disease; MALDI-TOF-MS; Weak cationic exchange magnetic beads; Proteomics; Biomarkers diagnosis
• ISSN: 0014-3022; 1421-9913; 1421-9913
• DOI: 10.1159/000323427

Background: Biomarkers for neurodegenerative diseases are essential to facilitate disease diagnosis. Application of proteomics has greatly hastened the search for novel biomarkers. In this study, new potential biomarkers were discovered, and a diagnostic pattern was established for idiopathic Parkinson’s disease (PD) by using proteomic technology. Methods: Serum proteins from PD patients and controls were captured by magnetic bead-based weak cation exchange. The molecular weight of the proteins in bead-binding fraction was detected by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). Biomarker Wizard 3.1 and Biomarker Patterns Software were used for data analysis and constructing a model of biomarkers. A blinded testing set was used to validate the model. Results: A total of 17 discriminating m/z peaks related to PD were identified. The model based on the 5 biomarkers generated an excellent separation between PD and healthy controls with 98.36% for the sensitivity and 83.05% for the specificity. Blind test data demonstrated the model could recognize patients with PD with a sensitivity of 85.0% and a specificity of 70.0%. Conclusions: The preliminary data suggested a potential application of MALDI-TOF-MS combined with magnetic beads. The model comprising 5 promising biomarkers can differentiate individuals with PD and the healthy subjects precisely.