Optimization and Evaluation of Magnetic Bead Separation Combined with Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectroscopy (MALDI-TOF MS) for Proteins Profiling of Peritoneal Dialysis Effluent

International Journal of Molecular Sciences

Na Guo¹  Qiong Wen¹  Zhi-Jian Li¹  Ri-Cong Xu¹  Fen-Fen Peng¹ 

[1] Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, 58^th Zhongshan Road II, Guangzhou 510080, China; E-Mails:

关键词: peritoneal dialysis;    proteomics;    matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS);   

DOI  :  10.3390/ijms15011162

来源: mdpi

【 摘 要 】

Peritoneal dialysis effluent (PDE) potentially carries an archive of peptides relevant to pathological processes in abdominal and surrounding tissues. Magnetic beads and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry is one such approach that offers a unique tool for profiling of peptides, but this approach has not been used in the PDE analysis. In this study, we developed a strategy for screening PDE proteins <15 kDa and applied this technique to identify potential biomarkers for peritonitis. We examined four kinds of magnetic beads, including a carbon series (C3, C8), weak cation exchange (WCX) and immobilized metal-affinity chromatography (IMAC-Cu) beads. Samples processed with IMAC-Cu magnetic beads consistently showed more MS signals across all beads within the measured mass range. Moreover, there was no difference in the number and morphology of MS signals between concentrated and unconcentrated samples. The PDE peptidome pattern, based on a panel of 15 peaks, accurately recognized peritonitis PD patients from peritonitis-free patients with sensitivity of 90.5% and specificity of 94.7% respectively. Therefore, IMAC-Cu magnetic beads and unconcentrated samples can be used as a fast and cost-effective approach for sample preparation prior to more in-depth discovery of predictive biomarkers of disease in patients on dialysis.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland