Open Access
Serum biomarker of diabetic peripheral neuropathy indentified by differential proteomics
Wei Tang1,Yong-quan Shi1,Jun-jie Zou1,Xiang-fang Chen1,Jiao-yang Zheng1,Shu-wei Zhao1,Zhi-min Liu1
Department of Endocrinology, Changzheng Hospital, Second Military Medical University, Shanghai 200003, China
DOI: 10.2741/3879 Volume 16 Issue 7, pp.2671-2681
Published: 01 June 2011
(This article belongs to the Special Issue Biosensors and their applications)

At least one in four diabetic patients is affected by peripheral neuropathy. In this study, the MALDI-TOF-MS mass spectra of peptides and proteins were generated following WCX CLINPROT bead fractionation of 39 diabetic peripheral neuropathy (DPN), 39 diabetes mellitus (DM), and 35 control (CON) serum samples. The spectra were analyzed statistically using flexAnalysisTM and Clin-ProtTM bioinformatics software. Identification of the selected markers was performed and affinity bead-purified plasma protein was subjected to LTQ Orbitrap XL MS/MS analysis followed by Mascot identification of the peptide sequences. 89 differentially expressed peaks of serum proteins were identified. 17, 10 and 4 most significant peaks between CON vs. DM, CON vs. DPN, DM vs. DPN, respectively, were selected out using the ClinProTool software package and used to train a Supervised Neural Network. A veracity rate of 100% was obtained for all sets. Following this analysis, a 6631-Da marker was identified as a fragment of the Apolipoprotein C-I precursor. The peptides identified may have clinical utility as surrogate markers for detection and classification of DM and DPN.

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Wei Tang, Yong-quan Shi, Jun-jie Zou, Xiang-fang Chen, Jiao-yang Zheng, Shu-wei Zhao, Zhi-min Liu. Serum biomarker of diabetic peripheral neuropathy indentified by differential proteomics. Frontiers in Bioscience-Landmark. 2011. 16(7); 2671-2681.