Serum neurofilament light chain cut‐off definition for clinical diagnosis and prognosis of amyotrophic lateral sclerosis

Author:

Brousse Mehdi1,Delaby Constance12ORCID,De La Cruz Elisa3,Kuhle Jens45,Benkert Pascal45,Mondesert Etienne1,Ginestet Nelly1,Hirtz Christophe1ORCID,Camu William3ORCID,Lehmann Sylvain1ORCID,Esselin Florence3

Affiliation:

1. LBPC‐PPC Université Montpellier, CHU Montpellier, INM INSERM Montpellier France

2. Hospital de la Santa Creu i Sant Pau – Biomedical Research Institute Sant Pau – Universitat Autònoma de Barcelona Barcelona Spain

3. Explorations neurologiques et centre SLA Université Montpellier, CHU Gui de Chauliac, INM, INSERM Montpellier France

4. Department of Neurology University Hospital and University of Basel Basel Switzerland

5. Multiple Sclerosis Center and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research University Hospital and University of Basel Basel Switzerland

Abstract

AbstractBackgroundThe neurofilament light chain (NfL) assay is gradually becoming an essential diagnostic tool for the diagnosis of many neurological diseases including amyotrophic lateral sclerosis (ALS). Different methods for the determination of this biomarker in serum have been developed in recent years.MethodsWe measured blood NfL in 429 patients referred to the tertiary ALS center of Montpellier, France using two different ultrasensitive methods (Ella™ and Simoa™) and we compared the clinical performances of these two approaches. We also converted NfL values into age and body mass index‐adjusted Z‐scores to assess cut‐off values of this biomarker in this clinical context.ResultsWe show comparable diagnostic and prognostic performance of Ella™ and Simoa™ technologies in ALS, with specificities and sensitivities exceeding 80% for both. We propose cut‐off values for serum NfL in this clinical context, thus enabling the routine clinical use of this biomarker.ConclusionThe use of NfL in routine clinical practice will help predict survival and improve diagnostic accuracy by distinguishing ALS from other neurological diseases and motor neuron disease mimics.

Publisher

Wiley

Subject

Neurology (clinical),Neurology

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