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Glycopeptide-Based Antibody Detection in Multiple Sclerosis by Surface Plasmon Resonance
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 n...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3386702/ https://www.ncbi.nlm.nih.gov/pubmed/22778603 http://dx.doi.org/10.3390/s120505596 |
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author | Real-Fernández, Feliciana Passalacqua, Irene Peroni, Elisa Chelli, Mario Lolli, Francesco Papini, Anna Maria Rovero, Paolo |
author_facet | Real-Fernández, Feliciana Passalacqua, Irene Peroni, Elisa Chelli, Mario Lolli, Francesco Papini, Anna Maria Rovero, Paolo |
author_sort | Real-Fernández, Feliciana |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3386702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-33867022012-07-09 Glycopeptide-Based Antibody Detection in Multiple Sclerosis by Surface Plasmon Resonance Real-Fernández, Feliciana Passalacqua, Irene Peroni, Elisa Chelli, Mario Lolli, Francesco Papini, Anna Maria Rovero, Paolo Sensors (Basel) Article 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. Molecular Diversity Preservation International (MDPI) 2012-05-02 /pmc/articles/PMC3386702/ /pubmed/22778603 http://dx.doi.org/10.3390/s120505596 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Real-Fernández, Feliciana Passalacqua, Irene Peroni, Elisa Chelli, Mario Lolli, Francesco Papini, Anna Maria Rovero, Paolo Glycopeptide-Based Antibody Detection in Multiple Sclerosis by Surface Plasmon Resonance |
title | Glycopeptide-Based Antibody Detection in Multiple Sclerosis by Surface Plasmon Resonance |
title_full | Glycopeptide-Based Antibody Detection in Multiple Sclerosis by Surface Plasmon Resonance |
title_fullStr | Glycopeptide-Based Antibody Detection in Multiple Sclerosis by Surface Plasmon Resonance |
title_full_unstemmed | Glycopeptide-Based Antibody Detection in Multiple Sclerosis by Surface Plasmon Resonance |
title_short | Glycopeptide-Based Antibody Detection in Multiple Sclerosis by Surface Plasmon Resonance |
title_sort | glycopeptide-based antibody detection in multiple sclerosis by surface plasmon resonance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3386702/ https://www.ncbi.nlm.nih.gov/pubmed/22778603 http://dx.doi.org/10.3390/s120505596 |
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