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      Serum Neurofilament light: A biomarker of neuronal damage in multiple sclerosis

      research-article
      , MD, PhD 1 , , MD 2 , , PhD 3 , , MD 2 , , MSc 3 , , MD 1 , , MD 1 , , PhD 4 , , PhD 4 , 5 , , MD 2 , , MD 2 , , MD 1 , , MD, PhD 2 , , the Swiss Multiple Sclerosis Cohort Study Group , MD, PhD, , MD, , MD, , MD, , MD, , MD, PhD, , MD, , MD, , PhD, , MD, , MD, , MD, , MD, , MD, , MD, , MD, , MD, , MD, , MD, , MD, , MD
      Annals of Neurology
      John Wiley and Sons Inc.

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          Abstract

          Objective

          Neurofilament light chains (NfL) are unique to neuronal cells, are shed to the cerebrospinal fluid (CSF), and are detectable at low concentrations in peripheral blood. Various diseases causing neuronal damage have resulted in elevated CSF concentrations. We explored the value of an ultrasensitive single‐molecule array (Simoa) serum NfL (sNfL) assay in multiple sclerosis (MS).

          Methods

          sNfL levels were measured in healthy controls (HC, n = 254) and two independent MS cohorts: (1) cross‐sectional with paired serum and CSF samples (n = 142), and (2) longitudinal with repeated serum sampling (n = 246, median follow‐up = 3.1 years, interquartile range [IQR] = 2.0–4.0). We assessed their relation to concurrent clinical, imaging, and treatment parameters and to future clinical outcomes.

          Results

          sNfL levels were higher in both MS cohorts than in HC ( p < 0.001). We found a strong association between CSF NfL and sNfL (β = 0.589, p < 0.001). Patients with either brain or spinal (43.4pg/ml, IQR = 25.2–65.3) or both brain and spinal gadolinium‐enhancing lesions (62.5pg/ml, IQR = 42.7–71.4) had higher sNfL than those without (29.6pg/ml, IQR = 20.9–41.8; β = 1.461, p = 0.005 and β = 1.902, p = 0.002, respectively). sNfL was independently associated with Expanded Disability Status Scale (EDSS) assessments (β = 1.105, p < 0.001) and presence of relapses (β = 1.430, p < 0.001). sNfL levels were lower under disease‐modifying treatment (β = 0.818, p = 0.003). Patients with sNfL levels above the 80th, 90th, 95th, 97.5th, and 99th HC‐based percentiles had higher risk of relapses (97.5th percentile: incidence rate ratio = 1.94, 95% confidence interval [CI] = 1.21–3.10, p = 0.006) and EDSS worsening (97.5th percentile: OR = 2.41, 95% CI = 1.07–5.42, p = 0.034).

          Interpretation

          These results support the value of sNfL as a sensitive and clinically meaningful blood biomarker to monitor tissue damage and the effects of therapies in MS. Ann Neurol 2017;81:857–870

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          Most cited references27

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          Akaike's information criterion in generalized estimating equations.

          W. Pan (2001)
          Correlated response data are common in biomedical studies. Regression analysis based on the generalized estimating equations (GEE) is an increasingly important method for such data. However, there seem to be few model-selection criteria available in GEE. The well-known Akaike Information Criterion (AIC) cannot be directly applied since AIC is based on maximum likelihood estimation while GEE is nonlikelihood based. We propose a modification to AIC, where the likelihood is replaced by the quasi-likelihood and a proper adjustment is made for the penalty term. Its performance is investigated through simulation studies. For illustration, the method is applied to a real data set.
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            A consensus protocol for the standardization of cerebrospinal fluid collection and biobanking.

            There is a long history of research into body fluid biomarkers in neurodegenerative and neuroinflammatory diseases. However, only a few biomarkers in CSF are being used in clinical practice. One of the most critical factors in CSF biomarker research is the inadequate powering of studies because of the lack of sufficient samples that can be obtained in single-center studies. Therefore, collaboration between investigators is needed to establish large biobanks of well-defined samples. Standardized protocols for biobanking are a prerequisite to ensure that the statistical power gained by increasing the numbers of CSF samples is not compromised by preanalytical factors. Here, a consensus report on recommendations for CSF collection and biobanking is presented, formed by the BioMS-eu network for CSF biomarker research in multiple sclerosis. We focus on CSF collection procedures, preanalytical factors, and high-quality clinical and paraclinical information. The biobanking protocols are applicable for CSF biobanks for research targeting any neurologic disease.
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              Least-square means: The R package lsmeans

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                Author and article information

                Contributors
                jens.kuhle@usb.ch
                Journal
                Ann Neurol
                Ann. Neurol
                10.1002/(ISSN)1531-8249
                ANA
                Annals of Neurology
                John Wiley and Sons Inc. (Hoboken )
                0364-5134
                1531-8249
                20 June 2017
                June 2017
                : 81
                : 6 ( doiID: 10.1002/ana.v81.6 )
                : 857-870
                Affiliations
                [ 1 ] Neurocenter of Southern Switzerland Civic Hospital Lugano Switzerland
                [ 2 ] Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine, and Clinical Research, University Hospital Basel University of Basel Basel Switzerland
                [ 3 ] Clinical Trial Unit, University Hospital Basel University of Basel Basel Switzerland
                [ 4 ] Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Sahlgrenska Academy University of Gothenburg Mölndal Sweden
                [ 5 ] Department of Molecular Neuroscience, Institute of Neurology University College London London United Kingdom
                Author notes
                [*] [* ]Address correspondence to Dr Kuhle, Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine, and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland. E‐mail: jens.kuhle@ 123456usb.ch
                Article
                ANA24954
                10.1002/ana.24954
                5519945
                28512753
                c928db44-f50c-47c1-ab6e-123b05bad2c9
                © 2017 The Authors. Annals of Neurology published by Wiley Periodicals, Inc. on behalf of American Neurological Association.

                This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 09 January 2017
                : 09 May 2017
                : 09 May 2017
                Page count
                Figures: 4, Tables: 4, Pages: 14, Words: 7554
                Funding
                Funded by: University of Basel
                Funded by: Swiss Multiple Sclerosis Society
                Funded by: Swiss National Research Foundation
                Funded by: Research Advisory Board of Ente Ospedaliero Cantonale
                Funded by: Biogen
                Funded by: Genzyme
                Funded by: Merck
                Funded by: Novartis
                Funded by: Roche
                Funded by: Teva
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                ana24954
                June 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.1.4 mode:remove_FC converted:21.07.2017

                Neurology
                Neurology

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