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Novel Approaches to Detect Serum Biomarkers for Clinical Response to Interferon-β Treatment in Multiple Sclerosis
Interferon beta (IFNβ) is the most common immunomodulatory treatment for relapsing-remitting multiple sclerosis (RRMS). However, some patients fail to respond to treatment. In this study, we identified putative clinical response markers in the serum and plasma of people with multiple sclerosis (MS)...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2864746/ https://www.ncbi.nlm.nih.gov/pubmed/20463963 http://dx.doi.org/10.1371/journal.pone.0010484 |
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author | Gandhi, Kaushal S. McKay, Fiona C. Diefenbach, Eve Crossett, Ben Schibeci, Stephen D. Heard, Robert N. Stewart, Graeme J. Booth, David R. Arthur, Jonathan W. |
author_facet | Gandhi, Kaushal S. McKay, Fiona C. Diefenbach, Eve Crossett, Ben Schibeci, Stephen D. Heard, Robert N. Stewart, Graeme J. Booth, David R. Arthur, Jonathan W. |
author_sort | Gandhi, Kaushal S. |
collection | PubMed |
description | Interferon beta (IFNβ) is the most common immunomodulatory treatment for relapsing-remitting multiple sclerosis (RRMS). However, some patients fail to respond to treatment. In this study, we identified putative clinical response markers in the serum and plasma of people with multiple sclerosis (MS) treated with IFNβ. In a discovery-driven approach, we use 2D-difference gel electrophoresis (DIGE) to identify putative clinical response markers and apply power calculations to identify the sample size required to further validate those markers. In the process we have optimized a DIGE protocol for plasma to obtain cost effective and high resolution gels for effective spot comparison. APOA1, A2M, and FIBB were identified as putative clinical response markers. Power calculations showed that the current DIGE experiment requires a minimum of 10 samples from each group to be confident of 1.5 fold difference at the p<0.05 significance level. In a complementary targeted approach, Cytometric Beadarray (CBA) analysis showed no significant difference in the serum concentration of IL-6, IL-8, MIG, Eotaxin, IP-10, MCP-1, and MIP-1α, between clinical responders and non-responders, despite the association of these proteins with IFNβ treatment in MS. |
format | Text |
id | pubmed-2864746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-28647462010-05-12 Novel Approaches to Detect Serum Biomarkers for Clinical Response to Interferon-β Treatment in Multiple Sclerosis Gandhi, Kaushal S. McKay, Fiona C. Diefenbach, Eve Crossett, Ben Schibeci, Stephen D. Heard, Robert N. Stewart, Graeme J. Booth, David R. Arthur, Jonathan W. PLoS One Research Article Interferon beta (IFNβ) is the most common immunomodulatory treatment for relapsing-remitting multiple sclerosis (RRMS). However, some patients fail to respond to treatment. In this study, we identified putative clinical response markers in the serum and plasma of people with multiple sclerosis (MS) treated with IFNβ. In a discovery-driven approach, we use 2D-difference gel electrophoresis (DIGE) to identify putative clinical response markers and apply power calculations to identify the sample size required to further validate those markers. In the process we have optimized a DIGE protocol for plasma to obtain cost effective and high resolution gels for effective spot comparison. APOA1, A2M, and FIBB were identified as putative clinical response markers. Power calculations showed that the current DIGE experiment requires a minimum of 10 samples from each group to be confident of 1.5 fold difference at the p<0.05 significance level. In a complementary targeted approach, Cytometric Beadarray (CBA) analysis showed no significant difference in the serum concentration of IL-6, IL-8, MIG, Eotaxin, IP-10, MCP-1, and MIP-1α, between clinical responders and non-responders, despite the association of these proteins with IFNβ treatment in MS. Public Library of Science 2010-05-05 /pmc/articles/PMC2864746/ /pubmed/20463963 http://dx.doi.org/10.1371/journal.pone.0010484 Text en Gandhi et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Gandhi, Kaushal S. McKay, Fiona C. Diefenbach, Eve Crossett, Ben Schibeci, Stephen D. Heard, Robert N. Stewart, Graeme J. Booth, David R. Arthur, Jonathan W. Novel Approaches to Detect Serum Biomarkers for Clinical Response to Interferon-β Treatment in Multiple Sclerosis |
title | Novel Approaches to Detect Serum Biomarkers for Clinical Response to Interferon-β Treatment in Multiple Sclerosis |
title_full | Novel Approaches to Detect Serum Biomarkers for Clinical Response to Interferon-β Treatment in Multiple Sclerosis |
title_fullStr | Novel Approaches to Detect Serum Biomarkers for Clinical Response to Interferon-β Treatment in Multiple Sclerosis |
title_full_unstemmed | Novel Approaches to Detect Serum Biomarkers for Clinical Response to Interferon-β Treatment in Multiple Sclerosis |
title_short | Novel Approaches to Detect Serum Biomarkers for Clinical Response to Interferon-β Treatment in Multiple Sclerosis |
title_sort | novel approaches to detect serum biomarkers for clinical response to interferon-β treatment in multiple sclerosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2864746/ https://www.ncbi.nlm.nih.gov/pubmed/20463963 http://dx.doi.org/10.1371/journal.pone.0010484 |
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