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Sensors 2012, 12(5), 5596-5607; doi:10.3390/s120505596

Glycopeptide-Based Antibody Detection in Multiple Sclerosis by Surface Plasmon Resonance

1
Laboratory of Peptide & Protein Chemistry & Biology, Polo Scientifico e Tecnologico, University of Florence I-50019 Sesto Fiorentino (FI), Italy
2
Department of Chemistry “Ugo Schiff” and CNR ICCOM, Via della Lastruccia 3/13, University of Florence, I-50019 Sesto Fiorentino (FI), Italy
3
Department of Pharmaceutical Sciences, Via Ugo Schiff 6, University of Florence, I-50019 Sesto Fiorentino (FI), Italy
4
Laboratoire SOSCO EA 4505, University of Cergy-Pontoise, 5 mail Gay-Lussac, Neuville sur Oise, Cergy-Pontoise cedex 95031, France
5
Department of Neurological Sciences & Azienda Ospedaliera Universitaria di Careggi, Viale Morgagni 34, University of Florence, I-50134 Firenze (FI), Italy
*
Author to whom correspondence should be addressed.
Received: 1 March 2012 / Revised: 13 April 2012 / Accepted: 27 April 2012 / Published: 2 May 2012
(This article belongs to the Special Issue Biomarkers and Nanosensors: New Approaches for Biology and Medicine)
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Abstract

In multiple sclerosis (MS) the gold standard for the diagnosis and prognosis is, up to now, the use of magnetic resonance imaging markers. No alternative simpler assays proven of use, except for cerebrospinal fluid analysis, have been provided in MS diagnosis. Therefore, there is a need to develop non-invasive, sensitive, simple new techniques for the clinical routine. Herein we present the evaluation of the feasibility of a glycopeptide-based biosensor to detect MS specific antibodies in sera using the surface plasmon resonance technology. The previously described glycopeptide antigen CSF114(Glc) has been immobilized on a gold sensor chip and the method has been optimized for real-time specific autoantibody detection directly in sera. A population of 60 healthy blood donors and 61 multiple sclerosis patients has been screened. The receiver operating characteristic (ROC)-based analysis has established the optimal diagnostic cut-off value for the method obtaining a sensitivity of 36% and a specificity of 95%. Sample sera have been also screened with a previously validated ELISA.
Keywords: multiple sclerosis; surface plasmon resonance; serodiagnosis; biacore; immunoassay; glycopeptide CSF114(Glc) multiple sclerosis; surface plasmon resonance; serodiagnosis; biacore; immunoassay; glycopeptide CSF114(Glc)
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Real-Fernández, F.; Passalacqua, I.; Peroni, E.; Chelli, M.; Lolli, F.; Papini, A.M.; Rovero, P. Glycopeptide-Based Antibody Detection in Multiple Sclerosis by Surface Plasmon Resonance. Sensors 2012, 12, 5596-5607.

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