Neurofilament light level correlates with brain atrophy, and cognitive and motor performance.

brain atrophy cognitive performance motor performance neurofilament light small vessel disease white matter hyperintensities

Journal

Frontiers in aging neuroscience
ISSN: 1663-4365
Titre abrégé: Front Aging Neurosci
Pays: Switzerland
ID NLM: 101525824

Informations de publication

Date de publication:
2022
Historique:
received: 08 05 2022
accepted: 09 12 2022
entrez: 23 1 2023
pubmed: 24 1 2023
medline: 24 1 2023
Statut: epublish

Résumé

The usefulness of neurofilament light (NfL) as a biomarker for small vessel disease has not been established. We examined the relationship between NfL, neuroimaging changes, and clinical findings in subjects with varying degrees of white matter hyperintensity (WMH). A subgroup of participants (n = 35) in the Helsinki Small Vessel Disease Study underwent an analysis of NfL in cerebrospinal fluid (CSF) as well as brain magnetic resonance imaging (MRI) and neuropsychological and motor performance assessments. WMH and structural brain volumes were obtained with automatic segmentation. CSF NfL did not correlate significantly with total WMH volume (r = 0.278, NfL was strongly related to global gray matter and hippocampal atrophy, but not to WMH severity. NfL was also associated with motor performance. Our results suggest that NfL is independently associated with brain atrophy and functional mobility, but is not a reliable marker for cerebral small vessel disease.

Sections du résumé

Background UNASSIGNED
The usefulness of neurofilament light (NfL) as a biomarker for small vessel disease has not been established. We examined the relationship between NfL, neuroimaging changes, and clinical findings in subjects with varying degrees of white matter hyperintensity (WMH).
Methods UNASSIGNED
A subgroup of participants (n = 35) in the Helsinki Small Vessel Disease Study underwent an analysis of NfL in cerebrospinal fluid (CSF) as well as brain magnetic resonance imaging (MRI) and neuropsychological and motor performance assessments. WMH and structural brain volumes were obtained with automatic segmentation.
Results UNASSIGNED
CSF NfL did not correlate significantly with total WMH volume (r = 0.278,
Conclusion UNASSIGNED
NfL was strongly related to global gray matter and hippocampal atrophy, but not to WMH severity. NfL was also associated with motor performance. Our results suggest that NfL is independently associated with brain atrophy and functional mobility, but is not a reliable marker for cerebral small vessel disease.

Identifiants

pubmed: 36688160
doi: 10.3389/fnagi.2022.939155
pmc: PMC9849573
doi:

Types de publication

Journal Article

Langues

eng

Pagination

939155

Informations de copyright

Copyright © 2023 Kartau, Melkas, Kartau, Arola, Laakso, Pitkänen, Lempiäinen, Koikkalainen, Lötjönen, Korvenoja, Ahlström, Herukka, Erkinjuntti and Jokinen.

Déclaration de conflit d'intérêts

JKo and JLö are employed by Combinostics Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Marge Kartau (M)

Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.

Susanna Melkas (S)

Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.

Joonas Kartau (J)

Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland.

Anne Arola (A)

Division of Neuropsychology, HUS Neurocenter, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.

Hanna Laakso (H)

Division of Neuropsychology, HUS Neurocenter, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.

Johanna Pitkänen (J)

Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.

Juha Lempiäinen (J)

Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.

Juha Koikkalainen (J)

Combinostics Ltd, Tampere, Finland.
Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.

Jyrki Lötjönen (J)

Combinostics Ltd, Tampere, Finland.
Department of Neuroscience and Biomedical Engineering, School of Science, Aalto University, Espoo, Finland.

Antti Korvenoja (A)

Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.

Matti Ahlström (M)

Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.

Sanna-Kaisa Herukka (SK)

Institute of Clinical Medicine/Neurology, University of Eastern Finland, Helsinki, Finland.

Timo Erkinjuntti (T)

Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.

Hanna Jokinen (H)

Division of Neuropsychology, HUS Neurocenter, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.

Classifications MeSH