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Systemic complement profiling in multiple sclerosis as a biomarker of disease state

BACKGROUND: There is increasing evidence of significant and dynamic systemic activation and upregulation of complement in multiple sclerosis (MS), which may contribute to disease pathogenesis. OBJECTIVE: We aimed to investigate the pathological role of complement in MS and the potential role for com...

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Autores principales: Ingram, G, Hakobyan, S, Hirst, CL, Harris, CL, Loveless, S, Mitchell, JP, Pickersgill, TP, Robertson, NP, Morgan, BP
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3697901/
https://www.ncbi.nlm.nih.gov/pubmed/22354735
http://dx.doi.org/10.1177/1352458512438238
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author Ingram, G
Hakobyan, S
Hirst, CL
Harris, CL
Loveless, S
Mitchell, JP
Pickersgill, TP
Robertson, NP
Morgan, BP
author_facet Ingram, G
Hakobyan, S
Hirst, CL
Harris, CL
Loveless, S
Mitchell, JP
Pickersgill, TP
Robertson, NP
Morgan, BP
author_sort Ingram, G
collection PubMed
description BACKGROUND: There is increasing evidence of significant and dynamic systemic activation and upregulation of complement in multiple sclerosis (MS), which may contribute to disease pathogenesis. OBJECTIVE: We aimed to investigate the pathological role of complement in MS and the potential role for complement profiling as a biomarker of MS disease state. METHODS: Key components of the classical, alternative and terminal pathways of complement were measured in plasma and cerebrospinal fluid (CSF) of patients with MS in different clinical phases of disease and in matched controls. RESULTS: Increased plasma levels of C3 (p<0.003), C4 (p<0.001), C4a (p<0.001), C1 inhibitor (p<0.001), and factor H (p<0.001), and reduced levels of C9 (p<0.001) were observed in MS patients compared with controls. Combined profiling of these analytes produced a statistical model with a predictive value of 97% for MS and 73% for clinical relapse when combined with selected demographic data. CSF-plasma correlations suggested that source of synthesis of these components was both systemic and central. CONCLUSION: These data provide further evidence of alterations in both local and systemic expression and activation of complement in MS and suggest that complement profiling may be informative as a biomarker of MS disease, although further work is needed to determine its use in distinguishing MS from its differential.
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spelling pubmed-36979012013-07-02 Systemic complement profiling in multiple sclerosis as a biomarker of disease state Ingram, G Hakobyan, S Hirst, CL Harris, CL Loveless, S Mitchell, JP Pickersgill, TP Robertson, NP Morgan, BP Mult Scler Research Papers BACKGROUND: There is increasing evidence of significant and dynamic systemic activation and upregulation of complement in multiple sclerosis (MS), which may contribute to disease pathogenesis. OBJECTIVE: We aimed to investigate the pathological role of complement in MS and the potential role for complement profiling as a biomarker of MS disease state. METHODS: Key components of the classical, alternative and terminal pathways of complement were measured in plasma and cerebrospinal fluid (CSF) of patients with MS in different clinical phases of disease and in matched controls. RESULTS: Increased plasma levels of C3 (p<0.003), C4 (p<0.001), C4a (p<0.001), C1 inhibitor (p<0.001), and factor H (p<0.001), and reduced levels of C9 (p<0.001) were observed in MS patients compared with controls. Combined profiling of these analytes produced a statistical model with a predictive value of 97% for MS and 73% for clinical relapse when combined with selected demographic data. CSF-plasma correlations suggested that source of synthesis of these components was both systemic and central. CONCLUSION: These data provide further evidence of alterations in both local and systemic expression and activation of complement in MS and suggest that complement profiling may be informative as a biomarker of MS disease, although further work is needed to determine its use in distinguishing MS from its differential. SAGE Publications 2012-10 /pmc/articles/PMC3697901/ /pubmed/22354735 http://dx.doi.org/10.1177/1352458512438238 Text en © The Author(s) 2012 http://creativecommons.org/licenses/by-nc/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Papers
Ingram, G
Hakobyan, S
Hirst, CL
Harris, CL
Loveless, S
Mitchell, JP
Pickersgill, TP
Robertson, NP
Morgan, BP
Systemic complement profiling in multiple sclerosis as a biomarker of disease state
title Systemic complement profiling in multiple sclerosis as a biomarker of disease state
title_full Systemic complement profiling in multiple sclerosis as a biomarker of disease state
title_fullStr Systemic complement profiling in multiple sclerosis as a biomarker of disease state
title_full_unstemmed Systemic complement profiling in multiple sclerosis as a biomarker of disease state
title_short Systemic complement profiling in multiple sclerosis as a biomarker of disease state
title_sort systemic complement profiling in multiple sclerosis as a biomarker of disease state
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3697901/
https://www.ncbi.nlm.nih.gov/pubmed/22354735
http://dx.doi.org/10.1177/1352458512438238
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