Serum glial fibrillary acidic protein in natalizumab-treated relapsing-remitting multiple sclerosis: An alternative to neurofilament light.


Journal

Multiple sclerosis (Houndmills, Basingstoke, England)
ISSN: 1477-0970
Titre abrégé: Mult Scler
Pays: England
ID NLM: 9509185

Informations de publication

Date de publication:
09 2023
Historique:
medline: 15 9 2023
pubmed: 2 8 2023
entrez: 2 8 2023
Statut: ppublish

Résumé

There is a need in Relapsing-Remitting Multiple Sclerosis (RRMS) treatment for biomarkers that monitor neuroinflammation, neurodegeneration, treatment response, and disease progression despite treatment. To assess the value of serum glial fibrillary acidic protein (sGFAP) as a biomarker for clinical disease progression and brain volume measurements in natalizumab-treated RRMS patients. sGFAP and neurofilament light (sNfL) were measured in an observational cohort of natalizumab-treated RRMS patients at baseline, +3, +12, and +24 months and at the last sample follow-up (median 5.17 years). sGFAP was compared between significant clinical progressors and non-progressors and related to magnetic resonance imaging (MRI)-derived volumes of the whole brain, ventricle, thalamus, and lesion. The relationship between sGFAP and sNfL was assessed. A total of 88 patients were included, and 47.7% progressed. sGFAP levels at baseline were higher in patients with gadolinium enhancement (1.3-fold difference, sGFAP levels related to MRI markers of neuroinflammation and neurodegeneration.

Sections du résumé

BACKGROUND
There is a need in Relapsing-Remitting Multiple Sclerosis (RRMS) treatment for biomarkers that monitor neuroinflammation, neurodegeneration, treatment response, and disease progression despite treatment.
OBJECTIVE
To assess the value of serum glial fibrillary acidic protein (sGFAP) as a biomarker for clinical disease progression and brain volume measurements in natalizumab-treated RRMS patients.
METHODS
sGFAP and neurofilament light (sNfL) were measured in an observational cohort of natalizumab-treated RRMS patients at baseline, +3, +12, and +24 months and at the last sample follow-up (median 5.17 years). sGFAP was compared between significant clinical progressors and non-progressors and related to magnetic resonance imaging (MRI)-derived volumes of the whole brain, ventricle, thalamus, and lesion. The relationship between sGFAP and sNfL was assessed.
RESULTS
A total of 88 patients were included, and 47.7% progressed. sGFAP levels at baseline were higher in patients with gadolinium enhancement (1.3-fold difference,
DISCUSSION
sGFAP levels related to MRI markers of neuroinflammation and neurodegeneration.

Identifiants

pubmed: 37530045
doi: 10.1177/13524585231188625
pmc: PMC10503252
doi:

Substances chimiques

Biomarkers 0
Contrast Media 0
Gadolinium AU0V1LM3JT
Glial Fibrillary Acidic Protein 0
Natalizumab 0
Neurofilament Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1229-1239

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Auteurs

Zoë Ygj Van Lierop (ZY)

Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Samantha Noteboom (S)

Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Eva Mm Strijbis (EM)

Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Johannes A Heijst (JA)

Department of Clinical Chemistry, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Zoé LE Van Kempen (ZL)

Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Bastiaan Moraal (B)

Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Frederik Barkhof (F)

Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Queen Square Institute of Neurology, Centre for Medical Image Computing, University College London, London, UK.

Bernard Mj Uitdehaag (BM)

Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Menno M Schoonheim (MM)

Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Joep Killestein (J)

Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Charlotte E Teunissen (CE)

Department of Clinical Chemistry, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

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Classifications MeSH