Serum neurofilament light chain correlates with myelin and axonal magnetic resonance imaging markers in multiple sclerosis.


Journal

Multiple sclerosis and related disorders
ISSN: 2211-0356
Titre abrégé: Mult Scler Relat Disord
Pays: Netherlands
ID NLM: 101580247

Informations de publication

Date de publication:
Jan 2022
Historique:
received: 18 06 2021
revised: 08 10 2021
accepted: 01 11 2021
entrez: 15 2 2022
pubmed: 16 2 2022
medline: 17 2 2022
Statut: ppublish

Résumé

Neurofilaments are cytoskeletal proteins that are detectable in the blood after neuroaxonal injury. Multiple sclerosis (MS) disease progression, greater lesion volume, and brain atrophy are associated with higher levels of serum neurofilament light chain (NfL), but few studies have examined the relationship between NfL and advanced magnetic resonance imaging (MRI) measures related to myelin and axons. We assessed the relationship between serum NfL and brain MRI measures in a diverse group of MS participants. 103 participants (20 clinically isolated syndrome, 33 relapsing-remitting, 30 secondary progressive, 20 primary progressive) underwent 3T MRI to obtain myelin water fraction (MWF), geometric mean T Serum NfL levels were significantly associated with metrics of axonal damage (FA: R The association between NfL and myelin MRI markers suggest that elevated serum NfL is a useful biomarker that reflects not only acute axonal damage, but also damage to myelin and inflammation, likely due to the known synergistic myelin-axon coupling relationship.

Sections du résumé

BACKGROUND BACKGROUND
Neurofilaments are cytoskeletal proteins that are detectable in the blood after neuroaxonal injury. Multiple sclerosis (MS) disease progression, greater lesion volume, and brain atrophy are associated with higher levels of serum neurofilament light chain (NfL), but few studies have examined the relationship between NfL and advanced magnetic resonance imaging (MRI) measures related to myelin and axons. We assessed the relationship between serum NfL and brain MRI measures in a diverse group of MS participants.
METHODS AND MATERIALS METHODS
103 participants (20 clinically isolated syndrome, 33 relapsing-remitting, 30 secondary progressive, 20 primary progressive) underwent 3T MRI to obtain myelin water fraction (MWF), geometric mean T
RESULTS RESULTS
Serum NfL levels were significantly associated with metrics of axonal damage (FA: R
CONCLUSION CONCLUSIONS
The association between NfL and myelin MRI markers suggest that elevated serum NfL is a useful biomarker that reflects not only acute axonal damage, but also damage to myelin and inflammation, likely due to the known synergistic myelin-axon coupling relationship.

Identifiants

pubmed: 35158472
pii: S2211-0348(21)00633-7
doi: 10.1016/j.msard.2021.103366
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103366

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Jackie T Yik (JT)

Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada.

Pierre Becquart (P)

Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.

Jasmine Gill (J)

Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.

John Petkau (J)

Department of Statistics, University of British Columbia, Vancouver, BC, Canada.

Anthony Traboulsee (A)

Department of Medicine, University of British Columbia, Vancouver, BC, Canada.

Robert Carruthers (R)

Department of Medicine, University of British Columbia, Vancouver, BC, Canada.

Shannon H Kolind (SH)

Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada; Department of Medicine, University of British Columbia, Vancouver, BC, Canada; Department of Radiology, University of British Columbia, Vancouver, BC, Canada.

Virginia Devonshire (V)

Department of Medicine, University of British Columbia, Vancouver, BC, Canada.

Ana-Luiza Sayao (AL)

Department of Medicine, University of British Columbia, Vancouver, BC, Canada.

Alice Schabas (A)

Department of Medicine, University of British Columbia, Vancouver, BC, Canada.

Roger Tam (R)

Department of Radiology, University of British Columbia, Vancouver, BC, Canada.

G R Wayne Moore (GRW)

International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.

David K B Li (DKB)

Department of Medicine, University of British Columbia, Vancouver, BC, Canada; Department of Radiology, University of British Columbia, Vancouver, BC, Canada.

Sophie Stukas (S)

Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.

Cheryl Wellington (C)

International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.

Jacqueline A Quandt (JA)

Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.

Irene M Vavasour (IM)

International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada; Department of Radiology, University of British Columbia, Vancouver, BC, Canada.

Cornelia Laule (C)

Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada; International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada; Department of Radiology, University of British Columbia, Vancouver, BC, Canada. Electronic address: claule@physics.ubc.ca.

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Classifications MeSH