CSF sphingolipids are correlated with neuroinflammatory cytokines and differentiate neuromyelitis optica spectrum disorder from multiple sclerosis.

BIOCHEMISTRY CSF MULTIPLE SCLEROSIS

Journal

Journal of neurology, neurosurgery, and psychiatry
ISSN: 1468-330X
Titre abrégé: J Neurol Neurosurg Psychiatry
Pays: England
ID NLM: 2985191R

Informations de publication

Date de publication:
06 Jun 2024
Historique:
received: 07 03 2024
accepted: 23 05 2024
medline: 7 6 2024
pubmed: 7 6 2024
entrez: 6 6 2024
Statut: aheadofprint

Résumé

There is a need for biomarkers of disease progression and therapeutic response in multiple sclerosis (MS). This study aimed to identify cerebrospinal fluid (CSF) lipids that differentiate MS from other neuroinflammatory conditions and correlate with Expanded Disability Status Scale (EDSS) scores, gadolinium-enhancing lesions or inflammatory mediators. Lipids and inflammatory cytokines/chemokines were quantified with liquid chromatography-tandem mass spectrometry and multiplex ELISA, respectively, in CSF from people with untreated MS, neuromyelitis optica spectrum disorder (NMOSD), other inflammatory neurological diseases and non-inflammatory neurological diseases (NIND). Analytes were compared between groups using analysis of variance, and correlations were assessed with Pearson's analysis. Twenty-five sphingolipids and four lysophosphatidylcholines were significantly higher in NMOSD compared with MS and NIND cases, whereas no lipids differed significantly between MS and NIND. A combination of three sphingolipids differentiated NMOSD from MS with the area under the curve of 0.92 in random forest models. Ninety-four lipids, including those that differentiated NMOSD from MS, were positively correlated with macrophage migration inhibitory factor (MIF) and 37 lipids were positively correlated with CSF protein in two independent MS cohorts. EDSS was inversely correlated with cholesterol ester CE(16:0) in both MS cohorts. In contrast, MIF and soluble triggering receptor expressed on myeloid cells 2 were positively associated with EDSS. CSF sphingolipids are positively correlated with markers of neuroinflammation and differentiate NMOSD from MS. The inverse correlation between EDSS and CE(16:0) levels may reflect poor clearance of cholesterol released during myelin break-down and warrants further investigation as a biomarker of therapeutic response.

Sections du résumé

BACKGROUND BACKGROUND
There is a need for biomarkers of disease progression and therapeutic response in multiple sclerosis (MS). This study aimed to identify cerebrospinal fluid (CSF) lipids that differentiate MS from other neuroinflammatory conditions and correlate with Expanded Disability Status Scale (EDSS) scores, gadolinium-enhancing lesions or inflammatory mediators.
METHODS METHODS
Lipids and inflammatory cytokines/chemokines were quantified with liquid chromatography-tandem mass spectrometry and multiplex ELISA, respectively, in CSF from people with untreated MS, neuromyelitis optica spectrum disorder (NMOSD), other inflammatory neurological diseases and non-inflammatory neurological diseases (NIND). Analytes were compared between groups using analysis of variance, and correlations were assessed with Pearson's analysis.
RESULTS RESULTS
Twenty-five sphingolipids and four lysophosphatidylcholines were significantly higher in NMOSD compared with MS and NIND cases, whereas no lipids differed significantly between MS and NIND. A combination of three sphingolipids differentiated NMOSD from MS with the area under the curve of 0.92 in random forest models. Ninety-four lipids, including those that differentiated NMOSD from MS, were positively correlated with macrophage migration inhibitory factor (MIF) and 37 lipids were positively correlated with CSF protein in two independent MS cohorts. EDSS was inversely correlated with cholesterol ester CE(16:0) in both MS cohorts. In contrast, MIF and soluble triggering receptor expressed on myeloid cells 2 were positively associated with EDSS.
CONCLUSIONS CONCLUSIONS
CSF sphingolipids are positively correlated with markers of neuroinflammation and differentiate NMOSD from MS. The inverse correlation between EDSS and CE(16:0) levels may reflect poor clearance of cholesterol released during myelin break-down and warrants further investigation as a biomarker of therapeutic response.

Identifiants

pubmed: 38844340
pii: jnnp-2024-333774
doi: 10.1136/jnnp-2024-333774
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: TAH has received honoraria for talks, advisory boards or support for scientific meetings from Bayer-Schering, Biogen Idec, Novartis, Teva, Merck, Alexion, Briston Myers Squibb and Sanofi-Genzyme, and is a paid writer for Australian MS Research Review.

Auteurs

Lisa Shi (L)

School of Medical Sciences, Charles Perkins Centre, and Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia.

Laura Ghezzi (L)

Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy.
La Fondazione IRCCS Ospedale Maggiore Policlinico, Milano, Italy.

Chiara Fenoglio (C)

Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy.
La Fondazione IRCCS Ospedale Maggiore Policlinico, Milano, Italy.

Anna Margherita Pietroboni (AM)

La Fondazione IRCCS Ospedale Maggiore Policlinico, Milano, Italy.

Daniela Galimberti (D)

Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy.
La Fondazione IRCCS Ospedale Maggiore Policlinico, Milano, Italy.

Francesca Pace (F)

Department of Neurology, Washington University in St Louis, St Louis, Missouri, USA.
Department of Clinical-Surgical Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Lombardia, Italy.

Todd A Hardy (TA)

Concord Hospital, Department of Neurology, The University of Sydney, Sydney, New South Wales, Australia.

Laura Piccio (L)

School of Medical Sciences, Charles Perkins Centre, and Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia anthony.don@sydney.edu.au laura.piccio@sydney.edu.au.
Department of Neurology, Washington University in St Louis, St Louis, Missouri, USA.

Anthony S Don (AS)

School of Medical Sciences, Charles Perkins Centre, and Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia anthony.don@sydney.edu.au laura.piccio@sydney.edu.au.

Classifications MeSH