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Neurofilament light chain in cerebrospinal fluid and prediction of disease activity in clinically isolated syndrome and relapsing-remitting multiple sclerosis
Linköping University, Department of Clinical and Experimental Medicine, Division of Neuro and Inflammation Science. Linköping University, Faculty of Medicine and Health Sciences.
Linköping University, Department of Medical and Health Sciences. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Radiation Physics. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Clinical and Experimental Medicine, Division of Neuro and Inflammation Science. Linköping University, Faculty of Medicine and Health Sciences.
University of Gothenburg, Sweden; Sahlgrens University Hospital, Sweden.
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2017 (English)In: European Journal of Neurology, ISSN 1351-5101, E-ISSN 1468-1331, Vol. 24, no 5, 703-712 p.Article in journal (Refereed) Published
Abstract [en]

Background and purpose: Improved biomarkers are needed to facilitate clinical decision-making and as surrogate endpoints in clinical trials in multiple sclerosis (MS). We assessed whether neurodegenerative and neuroinflammatory markers in cerebrospinal fluid (CSF) at initial sampling could predict disease activity during 2 years of follow-up in patients with clinically isolated syndrome (CIS) and relapsing-remitting MS. Methods: Using multiplex bead array and enzyme-linked immunosorbent assay, CXCL1, CXCL8, CXCL10, CXCL13, CCL20, CCL22, neurofilament light chain (NFL), neurofilament heavy chain, glial fibrillary acidic protein, chitinase-3-like-1, matrix metalloproteinase-9 and osteopontin were analysed in CSF from 41 patients with CIS or relapsing-remitting MS and 22 healthy controls. Disease activity (relapses, magnetic resonance imaging activity or disability worsening) in patients was recorded during 2 years of follow-up in this prospective longitudinal cohort study. Results: In a logistic regression analysis model, NFL in CSF at baseline emerged as the best predictive marker, correctly classifying 93% of patients who showed evidence of disease activity during 2 years of follow-up and 67% of patients who did not, with an overall proportion of 85% (33 of 39 patients) correctly classified. Combining NFL with either neurofilament heavy chain or osteopontin resulted in 87% overall correctly classified patients, whereas combining NFL with a chemokine did not improve results. Conclusions: This study demonstrates the potential prognostic value of NFL in baseline CSF in CIS and relapsing-remitting MS and supports its use as a predictive biomarker of disease activity.

Place, publisher, year, edition, pages
WILEY , 2017. Vol. 24, no 5, 703-712 p.
Keyword [en]
biomarker; clinically isolated syndrome; disease activity; multiple sclerosis; neurofilament light chain
National Category
Neurology
Identifiers
URN: urn:nbn:se:liu:diva-137379DOI: 10.1111/ene.13274ISI: 000399704400010PubMedID: 28261960OAI: oai:DiVA.org:liu-137379DiVA: diva2:1096703
Note

Funding Agencies|Swedish Research Council [K2013-61X-22310-01-4]; Linkoping University, Sweden; University Hospital Linkoping, Sweden; Novartis; Torsten Soderberg foundation; Royal Academy of Sciences, Sweden

Available from: 2017-05-18 Created: 2017-05-18 Last updated: 2017-05-18

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Håkansson, IreneTisell, AndersCassel, PetraLundberg, PeterDahle, CharlotteVrethem, MagnusErnerudh, Jan
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Division of Neuro and Inflammation ScienceFaculty of Medicine and Health SciencesDepartment of Medical and Health SciencesDepartment of Radiation PhysicsCenter for Medical Image Science and Visualization (CMIV)Department of Clinical Immunology and Transfusion MedicineDepartment of Neurology
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European Journal of Neurology
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CiteExportLink to record
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