Blood-based NfL: A biomarker for differential diagnosis of parkinsonian disorder

Research output: Contribution to journalArticle

Abstract

Objective: To determine if blood neurofilament light chain (NfL) protein can discriminate between Parkinson disease (PD) and atypical parkinsonian disorders (APD) with equally high diagnostic accuracy as CSF NfL, and can therefore improve the diagnostic workup of parkinsonian disorders. Methods: The study included 3 independent prospective cohorts: the Lund (n = 278) and London (n = 117) cohorts, comprising healthy controls and patients with PD, progressive supranuclear palsy (PSP), corticobasal syndrome (CBS), and multiple system atrophy (MSA), as well as an early disease cohort (n = 109) of patients with PD, PSP, MSA, or CBS with disease duration ≤3 years. Blood NfL concentration was measured using an ultrasensitive single molecule array (Simoa) method, and the diagnostic accuracy to distinguish PD from APD was investigated. Results: We found strong correlations between blood and CSF concentrations of NfL (ρ ≥ 0.73-0.84, p ≤ 0.001). Blood NfL was increased in patients with MSA, PSP, and CBS (i.e., all APD groups) when compared to patients with PD as well as healthy controls in all cohorts (p < 0.001). Furthermore, in the Lund cohort, blood NfL could accurately distinguish PD from APD (area under the curve [AUC] 0.91) with similar results in both the London cohort (AUC 0.85) and the early disease cohort (AUC 0.81). Conclusions: Quantification of blood NfL concentration can be used to distinguish PD from APD. Blood-based NfL might consequently be included in the diagnostic workup of patients with parkinsonian symptoms in both primary care and specialized clinics. Classification of evidence: This study provides Class III evidence that blood NfL levels discriminate between PD and APD.

Details

Authors
  • Oskar Hansson
  • Shorena Janelidze
  • Sara Hall
  • Nadia Magdalinou
  • Andrew J Lees
  • Ulf Andreasson
  • Niklas Norgren
  • Jan Linder
  • Lars Forsgren
  • Radu Constantinescu
  • Henrik Zetterberg
  • Kaj Blennow
  • Swedish BioFINDER study group
Organisations
External organisations
  • UmanDiagnostics AB
  • Umeå University
  • Skåne University Hospital
  • University College London
  • Sahlgrenska Academy
  • University of Gothenburg
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Neurology
Original languageEnglish
Pages (from-to)930-937
Number of pages8
JournalNeurology
Volume88
Issue number10
Publication statusPublished - 2017 Mar 7
Publication categoryResearch
Peer-reviewedYes