Plasma neurofilament light levels are associated with risk of disability in multiple sclerosis

Objective To investigate the association between plasma neurofilament light chain (pNfL) levels and the risk of developing sustained disability worsening. Methods Concentrations of pNfL were determined in 4,385 persons with multiple sclerosis (MS) and 1,026 randomly selected population-based sex- and age-matched controls using the highly sensitive Single Molecule Array (SimoaTM) NF-Light Advantage Kit. We assessed the impact of age-stratified pNfL levels above the 80th, 95th, and 99th percentiles among controls on the risk of Expanded Disability Status Scale (EDSS) worsening within the following year and reaching sustained EDSS scores of 3.0, 4.0, and 6.0 and conversion to secondary progressive multiple sclerosis (SPMS). Results The median (interquartile range [IQR]) pNfL was 7.5 (4.1) pg/mL in controls and 11.4 (9.6) pg/mL in MS (p < 0.001). The median (IQR) duration of follow-up was 5 (5.1) years. High pNfL was associated with increased adjusted rates of EDSS worsening ranging between 1.4 (95% confidence intervals [CIs]: 1.1–1.8) and 1.7 (95% CI: 1.4–2.3). High pNfL was also associated with the risk of reaching a sustained EDSS score of 3.0, with adjusted rates ranging between 1.5 (95% CI: 1.2–1.8) and 1.55 (95% CI: 1.3–1.8) over all percentile cutoffs (all p < 0.001). Similar increases were observed for the risk of sustained EDSS score 4.0. In contrast, the risk of reaching sustained EDSS score 6.0 and conversion to SPMS was not consistently significant. Conclusions Elevated pNfL levels at early stages of MS are associated with an increased risk of reaching sustained disability worsening. Hence, pNfL may serve as a prognostic tool to assess the risk of developing permanent disability in MS.

[1]  T. Olsson,et al.  Confounding effect of blood volume and body mass index on blood neurofilament light chain levels , 2020, Annals of clinical and translational neurology.

[2]  L. Kappos,et al.  Serum neurofilament light chain is a biomarker of acute and chronic neuronal damage in early multiple sclerosis , 2019, Multiple sclerosis.

[3]  F. Piehl,et al.  Validation of the Swedish Multiple Sclerosis Register , 2019, Epidemiology.

[4]  Ludwig Kappos,et al.  Neurofilaments as biomarkers in neurological disorders , 2018, Nature Reviews Neurology.

[5]  K. Blennow,et al.  Plasma neurofilament light chain levels in patients with MS switching from injectable therapies to fingolimod , 2018, Multiple sclerosis.

[6]  X. Montalban,et al.  Cognitive impairment in early stages of multiple sclerosis is associated with high cerebrospinal fluid levels of chitinase 3‐like 1 and neurofilament light chain , 2018, European journal of neurology.

[7]  Markus R. Lange,et al.  Predicting risk of secondary progression in multiple sclerosis: A nomogram , 2018, Multiple sclerosis.

[8]  Ludwig Kappos,et al.  Serum neurofilament as a predictor of disease worsening and brain and spinal cord atrophy in multiple sclerosis , 2018, Brain : a journal of neurology.

[9]  David H. Miller,et al.  Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria , 2017, The Lancet Neurology.

[10]  K. Blennow,et al.  Monitoring disease activity in multiple sclerosis using serum neurofilament light protein , 2017, Neurology.

[11]  O. Beiki,et al.  Importance of early treatment initiation in the clinical course of multiple sclerosis , 2017, Multiple sclerosis.

[12]  Ludwig Kappos,et al.  Serum Neurofilament light: A biomarker of neuronal damage in multiple sclerosis , 2017, Annals of neurology.

[13]  Alzheimer's Disease Neuroimaging Initiative Association of plasma neurofilament light with neurodegeneration in patients with Alzheimer disease , 2017 .

[14]  K. Blennow,et al.  Cerebrospinal fluid biomarkers as a measure of disease activity and treatment efficacy in relapsing‐remitting multiple sclerosis , 2017, Journal of neurochemistry.

[15]  K. Blennow,et al.  Cerebrospinal fluid biomarkers of inflammation and degeneration as measures of fingolimod efficacy in multiple sclerosis , 2017, Multiple sclerosis.

[16]  Henrik Zetterberg,et al.  Comparison of three analytical platforms for quantification of the neurofilament light chain in blood samples: ELISA, electrochemiluminescence immunoassay and Simoa , 2016, Clinical chemistry and laboratory medicine.

[17]  M. Staufenbiel,et al.  Neurofilament Light Chain in Blood and CSF as Marker of Disease Progression in Mouse Models and in Neurodegenerative Diseases , 2016, Neuron.

[18]  B. Uitdehaag,et al.  Elevated CSF neurofilament proteins predict brain atrophy: A 15-year follow-up study , 2016, Multiple sclerosis.

[19]  M. Ban,et al.  Age Related Multiple Sclerosis Severity Score: Disability ranked by age , 2017, Multiple sclerosis.

[20]  Cristina Granziera,et al.  Serum neurofilament light chain in early relapsing remitting MS is increased and correlates with CSF levels and with MRI measures of disease severity , 2016, Multiple sclerosis.

[21]  L. Alfredsson,et al.  Comparative analysis of first-year fingolimod and natalizumab drug discontinuation among Swedish patients with multiple sclerosis , 2016, Multiple sclerosis.

[22]  Jeffrey A. Cohen,et al.  Defining the clinical course of multiple sclerosis: the 2013 revisions. , 2014, Neurology.

[23]  T. Olsson,et al.  Smoking and multiple sclerosis susceptibility , 2013, European Journal of Epidemiology.

[24]  Jeffrey A. Cohen,et al.  Diagnostic criteria for multiple sclerosis: 2010 Revisions to the McDonald criteria , 2011, Annals of neurology.

[25]  T. Olsson,et al.  A Swedish national post-marketing surveillance study of natalizumab treatment in multiple sclerosis , 2011, Multiple sclerosis.

[26]  J. Salzer,et al.  Neurofilament light as a prognostic marker in multiple sclerosis , 2010, Multiple sclerosis.

[27]  M. Rovaris,et al.  Secondary progressive multiple sclerosis: current knowledge and future challenges , 2006, The Lancet Neurology.

[28]  S. Reingold,et al.  Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria” , 2005, Annals of neurology.

[29]  R. Rigby,et al.  Generalized additive models for location, scale and shape , 2005 .

[30]  J. Avasarala Neurofilament light protein and glial fibrillary acidic protein as biological markers in MS , 2004, Neurology.

[31]  A. Compston,et al.  Recommended diagnostic criteria for multiple sclerosis: Guidelines from the international panel on the diagnosis of multiple sclerosis , 2001, Annals of neurology.

[32]  L. Rosengren,et al.  Neurofilament protein in cerebrospinal fluid: a potential marker of activity in multiple sclerosis , 1998, Journal of neurology, neurosurgery, and psychiatry.

[33]  S. Reingold,et al.  Defining the clinical course of multiple sclerosis , 1996, Neurology.

[34]  J. Kurtzke Rating neurologic impairment in multiple sclerosis , 1983, Neurology.

[35]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[36]  Wei-Yin Loh,et al.  Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..