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Clinical and MRI correlates of CSF neurofilament light chain levels in relapsing and progressive MS.

Authors
  • Damasceno, Alfredo1
  • Dias-Carneiro, Rafael Paterno C2
  • Moraes, Adriel Santos2
  • Boldrini, Vinícius O2
  • Quintiliano, Raphael Patrício S2
  • da Silva, Verônica Almeida de Paula Gald...2
  • Farias, Alessandro S2
  • Brandão, Carlos Otavio2
  • Damasceno, Benito Pereira3
  • Dos Santos, Leonilda Maria Barbosa2
  • Cendes, Fernando3
  • 1 Department of Neurology, University of Campinas (UNICAMP), Campinas, Brazil; Neuroimmunology Unit, Department of Genetics, Evolution and Bioagents, University of Campinas (UNICAMP), Campinas, Brazil. Electronic address: [email protected] , (Brazil)
  • 2 Neuroimmunology Unit, Department of Genetics, Evolution and Bioagents, University of Campinas (UNICAMP), Campinas, Brazil. , (Brazil)
  • 3 Department of Neurology, University of Campinas (UNICAMP), Campinas, Brazil. , (Brazil)
Type
Published Article
Journal
Multiple sclerosis and related disorders
Publication Date
May 01, 2019
Volume
30
Pages
149–153
Identifiers
DOI: 10.1016/j.msard.2019.02.004
PMID: 30772673
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

A major aim in MS field has been the search for biomarkers that enable accurate detection of neuronal damage. Besides MRI, recent studies have shown that neuroaxonal damage can also be tracked by neurofilament detection. Nevertheless, before widespread implementation, a better understanding of the principal contributors for this biomarker is of paramount importance. Therefore, we analyzed neurofilament light chain (NfL) in relapsing (RMS) and progressive MS (PMS), addressing which MRI and clinical variables are better related to this biomarker. Forty-seven MS patients underwent MRI (3T) and cerebrospinal fluid (CSF) sampling. We measured NfL concentrations using ELISA (UmanDiagnostics) and performed multivariable regression analysis to assess the contribution of clinical and MRI metrics to NfL. NfL correlated with previous clinical activity in RMS (p < 0.001). In RMS, NfL also correlated with Gad+ and cortical lesion volumes. However, after multivariable analysis, only cortical lesions and relapses in previous 12 months remained in the final model (R2 = 0.610; p = 0.009 and p = 0.00008, respectively). In PMS, T1-hypointense lesion volume was the only predictor after multivariate analysis (R2 = 0.564; p = 0.012). CSF NfL levels are increased in RMS and associated with relapses and cortical lesions. Although NfL levels were correlated with Gad+ lesion volume, this association did not persist in multivariable analysis after controlling for previous clinical activity. We encourage controlling for previous clinical activity when testing the association of NfL with MRI. In PMS, the major contributor to NfL was T1-hypointense lesion volume. Copyright © 2019. Published by Elsevier B.V.

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