Evidence map›Paper›PMID 39536291›Full record

ArticleNeurology(R) neuroimmunology & neuroinflammation2025

Proteomics Reveals Age as Major Modifier of Inflammatory CSF Signatures in Multiple Sclerosis.

Friederike Held, Christine Makarov, Christiane Gasperi, Martina Flaskamp, Verena Grummel, Achim Berthele, Bernhard Hemmer

Abstract read
In one paragraph

Article in Neurology(R) neuroimmunology & neuroinflammation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  15. Profiling the Cerebrospinal Fluid Proteome in Progressive Multiple Sclerosis: Treatment Effects and Associations with IgM Oligoclonal Bands.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2025
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  16. Article
  17. Proteomic Profiling and Pathophysiological Implications in Multiple Sclerosis.Neurology(R) neuroimmunology & neuroinflammation · 2025
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  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Friederike HeldFrom the Department of Neurology (F.H., C.M., C.G., M.F., V.G., A.B., B.H.), University Hospital rechts der Isar, School of Medicine and Health, Technical University Munich, and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany.ORCID 0009-0008-1190-9435
Christine MakarovFrom the Department of Neurology (F.H., C.M., C.G., M.F., V.G., A.B., B.H.), University Hospital rechts der Isar, School of Medicine and Health, Technical University Munich, and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany.ORCID 0009-0001-1711-187X
Christiane GasperiFrom the Department of Neurology (F.H., C.M., C.G., M.F., V.G., A.B., B.H.), University Hospital rechts der Isar, School of Medicine and Health, Technical University Munich, and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany.ORCID 0000-0002-0524-6005
Martina FlaskampFrom the Department of Neurology (F.H., C.M., C.G., M.F., V.G., A.B., B.H.), University Hospital rechts der Isar, School of Medicine and Health, Technical University Munich, and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany.
Verena GrummelFrom the Department of Neurology (F.H., C.M., C.G., M.F., V.G., A.B., B.H.), University Hospital rechts der Isar, School of Medicine and Health, Technical University Munich, and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany.
Achim BertheleFrom the Department of Neurology (F.H., C.M., C.G., M.F., V.G., A.B., B.H.), University Hospital rechts der Isar, School of Medicine and Health, Technical University Munich, and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany.ORCID 0000-0001-9650-6222
Bernhard HemmerFrom the Department of Neurology (F.H., C.M., C.G., M.F., V.G., A.B., B.H.), University Hospital rechts der Isar, School of Medicine and Health, Technical University Munich, and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany.ORCID 0000-0001-5985-6784

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesMultiple sclerosis (MS) can start as relapsing or progressive. While their clinical features and treatment responses are distinct, it has remained uncertain whether their pathomechanisms differ. A notable age-related effect on MS phenotype and response to immunotherapies is well acknowledged, but the underlying pathophysiologic reasons are yet to be fully elucidated. We aimed to identify disease-specific and age-related proteomic signatures using a comprehensive targeted proteomic analysis.

methodsIn our retrospective cohort study, we analyzed the CSF and serum proteome of age-matched individuals with treatment-naïve relapsing-remitting and primary progressive MS, neurologic controls (NC), and individuals with neuroborreliosis using targeted proteomics and validated findings in an independent cohort. Proteomic results were integrated with clinical and laboratory covariates.

resultsAmong 2,500 proteins, 47 CSF proteins were distinct between individuals with MS (n = 60) and NC (n = 20), with a subset also differing from those with neuroborreliosis (n = 8). We identified MS-associated proteins, including novel candidate biomarkers such as LY9 and JCHAIN, and putative treatment targets, such as SLAMF7, BCMA, and IL5RA, for which drugs are already licensed in other indications. The CSF proteome differences between relapsing and progressive MS were minimal, but major changes were noted in individuals older than 50 years, indicating a shift from MS-associated inflammatory to age-related protein signature. NEFL was the only serum protein that differed between individuals with MS and controls. DISCUSSION: This study unveils a unique CSF proteomic signature in MS, providing new pathophysiologic insights and identifying novel biomarker candidates and potential therapeutic targets. Our findings highlight similar immunologic mechanisms in relapsing and progressive MS and underscore aging's profound effect on the intrathecal immune response. This aligns with the observed lower efficacy of immunotherapies in the elderly, thus emphasizing the necessity for alternative therapeutic approaches in treating individuals with MS beyond the age of 50.

Indexed as

BiomarkersMultiple Sclerosis, Chronic ProgressiveMultiple Sclerosis, Relapsing-RemittingProteomicsAdultAgedAge FactorsAgingFemaleHumansLyme NeuroborreliosisMaleMiddle AgedProteomeRetrospective StudiesBiomarkersProteome

Identifiers

PMID39536291
PMCPMC11563564

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.