A distinctive molecular signature of multiple sclerosis derived from MALDI-TOF/MS and serum proteomic pattern analysis: Detection of three biomarkers
Authors: Avasarala, Jagannadha1; Wall, Michael2; Wolfe, Gershon2
Source: Journal of Molecular Neuroscience, Volume 25, Number 1, February 2005 , pp. 119-125(7)
Publisher: Humana Press
Abstract:
Although multiple sclerosis (MS) is an immune-mediated disorder, serological testing to aid in its diagnosis has not been developed. To test the hypothesis that the pathological changes in MS can be detected by analyzing a molecular signature of serum proteomic patterns, we tested sera from 25 newly diagnosed relapsing-remitting MS patients and 25 healthy controls with matrix-assisted laser desorption/ionization time of flight (MALDI-TOF) mass spectrometry, following albumin depletion and desalting. Analysis of MALDI-TOF/mass spectrometry data, using proteomic spectral pattern recognition software, revealed a distinct proteomic pattern in the MS group determined by 3 biomarkers at 8687, 8773, and 8818 mass-to-charge ratios. Although our data are representative of analysis on a small number of samples and are preliminary, we conclude that MALDI-TOF/mass spectrometry, in combination with serum proteomic pattern analysis, could be useful in the diagnosis of MS, and a larger, masked trial to identify proteomic spectral patterns characteristic of relapsing-remitting, primary progressive and secondary progressive variants of MS is justified.Keywords: Relapsing-remitting MS; MALDI-TOF; iomarker profiling; proteomic pattern recognition; molecular signature
Document Type: Research article
DOI: http://dx.doi.org/10.1385/JMN:25:1:119
Affiliations: 1: Department of Neurology, Wake Forest University Health Sciences, 27157, Winston-Salem, NC, Email: jagan@wfubmc.edu 2: Department of Informatics Systems, Eclipse Diagnostics, 95688, Vacaville, CA,
Publication date: 2005-02-01
- In this: publication
- By this: publisher
- In this Subject: Anatomy & Physiology , Zoology , Neurology & Psychiatry
- By this author: Avasarala, Jagannadha ; Wall, Michael ; Wolfe, Gershon

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