Evidence map›Paper›PMID 39798086›Full record

ArticleClinical and experimental immunology2025

Investigating T-cell-derived extracellular vesicles as biomarkers of disease activity, axonal injury, and disability in multiple sclerosis.

Jennifer L Zagrodnik, Stephanie N Blandford, Neva J Fudge, Shane T Arsenault, Sarah Anthony, Lillian McGrath, Fraser Clift, Mark Stefanelli, Craig S Moore

Abstract read
In one paragraph

Article in Clinical and experimental immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

9 authors.

Jennifer L ZagrodnikDivision of Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada.
Stephanie N BlandfordDivision of Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada.
Neva J FudgeDivision of Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada.
Shane T ArsenaultDiscipline of Medicine (Neurology), Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada.
Sarah AnthonyDiscipline of Medicine (Neurology), Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada.
Lillian McGrathDiscipline of Medicine (Neurology), Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada.
Fraser CliftDiscipline of Medicine (Neurology), Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada.
Mark StefanelliDiscipline of Medicine (Neurology), Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada.
Craig S MooreDivision of Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada.ORCID 0000-0003-3333-435X

Funding

CIHR CIHR;PJT155933
6 · The paper itself

Abstract

introductionMultiple sclerosis (MS) is a chronic immune-mediated demyelinating disease of the central nervous system, whereby clinical disease activity is primarily monitored by magnetic resonance imaging.

methodsGiven the limitations associated with implementing and acquiring novel and emerging imaging biomarkers in routine clinical practice, the discovery of biofluid biomarkers may offer a more simple and cost-effective measure that would improve accessibility, standardization, and patient care. Extracellular vesicles (EVs) are nanoparticles secreted from cells under both homeostatic and pathological states, and have been recently investigated as biomarkers in MS. The objectives of this study were to longitudinally measure levels of specific immune cell-derived EVs in MS and provide evidence that EV sub-populations may serve as biomarkers of disease activity, axonal injury, and/or clinical disability.

resultsOur results demonstrate that the rate of clinical disability in MS negatively correlates with changes in circulating CD3+ EVs within the plasma. Additionally, numbers of CD4+ EVs decrease in individuals with increasing pNfL levels overtime whereby the magnitude of the pNfL increase negatively correlates with changes in plasma CD4+ and CD8+ EVs. Finally, when applying NEDA-3 criteria to define active versus stable disease, individuals with active disease had significantly elevated CD4+ and CD8+ EVs compared to stable disease.

conclusionIn summary, the analysis of specific immune cell-derived EV subsets may provide a method to monitor disability accumulation, disease activity, and axonal injury in MS, while also providing insights into the pathophysiology and cellular/molecular mechanisms that influence progression.

Indexed as

AxonsCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesExtracellular VesiclesMultiple SclerosisAdultBiomarkersFemaleHumansMaleMiddle AgedBiomarkersbiomarkersextracellular vesiclesmultiple sclerosisplasmaT cells

Identifiers

PMID39798086
PMCPMC11791523

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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.