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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)...

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Autores principales: 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.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
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.
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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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