A multicentre validation study of the diagnostic value of plasma neurofilament light
- Nicholas James Ashton
- Shorena Janelidze
- Ahmad Al Khleifat
- Antoine Leuzy
- Emma Louise van der Ende
- Thomas K. Karikari
- Andréa Lessa Benedet
- TPTharick Ali Pascoal
- Alberto Lleó
- Lucilla Parnetti
- Daniela Galimberti
- Laura Bonanni
- Andrea Pilotto
- Alessandro Padovani
- Jan Lycke
- Lenka Novakova
- Markus Axelsson
- Latha Velayudhan
- Gil D. Rabinovici
- Bruce Leonard Miller
- Carmine Maria Pariante
- Naghmeh Nikkheslat
- Susan M. Resnick
- Madhav Thambisetty
- Michael Schöll
- Gorka Fernández‐Eulate
- Francisco Javier Gil-Bea
- Adolfo López de Munaín
- Ammar Al‐Chalabi
- Pedro Rosa‐Neto
- André Strydom
- Per Svenningsson
- Erik Stomrud
- Alexander Frizell Santillo
- Dag Aarsland
- John Cornelis Van Swieten
- Sebastian Palmqvist
- Henrik Zetterberg
- Kaj Blennow
- Abdul Hye
- Oskar Hansson
Nature Communications · 2021 · Nature Portfolio
2 views · 0 downloads
Abstract
Increased cerebrospinal fluid neurofilament light (NfL) is a recognized biomarker for neurodegeneration that can also be assessed in blood. Here, we investigate plasma NfL as a marker of neurodegeneration in 13 neurodegenerative disorders, Down syndrome, depression and cognitively unimpaired controls from two multicenter cohorts: King's College London (n = 805) and the Swedish BioFINDER study (n = 1,464). Plasma NfL was significantly increased in all cortical neurodegenerative disorders, amyotrophic lateral sclerosis and atypical parkinsonian disorders. We demonstrate that plasma NfL is clinically useful in identifying atypical parkinsonian disorders in patients with parkinsonism, dementia in individuals with Down syndrome, dementia among psychiatric disorders, and frontotemporal dementia in patients with cognitive impairment. Data-driven cut-offs highlighted the fundamental importance of age-related clinical cut-offs for disorders with a younger age of onset. Finally, plasma NfL performs best when applied to indicate no underlying neurodegeneration, with low false positives, in all age-related cut-offs.
