Evidence map›Paper›PMID 29084979›Full record

ArticleScientific reports2017

Exosomal microRNA signatures in multiple sclerosis reflect disease status.

Saeideh Ebrahimkhani, Fatemeh Vafaee, Paul E Young, Suzy S J Hur, Simon Hawke, Emma Devenney, Heidi Beadnall, Michael H Barnett, Catherine M Suter, Michael E Buckland

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
169citing papers in PubMed, 4 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

169 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. Article
  7. Article
  8. Review
  9. Article
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  11. A framework for blood biomarker discovery in MS.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026
    Review
  12. Article
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  14. Article
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  16. Article
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  18. Extracellular RNAs as Messengers and Early Biomarkers in Neurodegeneration.International journal of molecular sciences · 2025
    Review
  19. Article
  20. Review

109 more citing papers are in PubMed but not listed here.

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

10 authors.

Saeideh EbrahimkhaniDepartment of Neuropathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.
Fatemeh VafaeeSchool of Mathematics and Statistics, University of Sydney, Camperdown, NSW, Australia.ORCID 0000-0002-7521-2417
Paul E YoungDivision of Molecular Structural and Computational Biology, Victor Chang Cardiac Research Institute, Darlinghurst, NSW, Australia.
Suzy S J HurDivision of Molecular Structural and Computational Biology, Victor Chang Cardiac Research Institute, Darlinghurst, NSW, Australia.
Simon HawkeSydney Medical School, University of Sydney, Camperdown, NSW, Australia.
Emma DevenneyBrain and Mind Centre, University of Sydney, Camperdown, NSW, Australia.
Heidi BeadnallBrain and Mind Centre, University of Sydney, Camperdown, NSW, Australia.
Michael H BarnettBrain and Mind Centre, University of Sydney, Camperdown, NSW, Australia.
Catherine M SuterDivision of Molecular Structural and Computational Biology, Victor Chang Cardiac Research Institute, Darlinghurst, NSW, Australia.
Michael E BucklandDepartment of Neuropathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia. michael.buckland@sydney.edu.au.ORCID 0000-0003-4755-6471

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple Sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system (CNS). There is currently no single definitive test for MS. Circulating exosomes represent promising candidate biomarkers for a host of human diseases. Exosomes contain RNA, DNA, and proteins, can cross the blood-brain barrier, and are secreted from almost all cell types including cells of the CNS. We hypothesized that serum exosomal miRNAs could present a useful blood-based assay for MS disease detection and monitoring. Exosome-associated microRNAs in serum samples from MS patients (n = 25) and matched healthy controls (n = 11) were profiled using small RNA next generation sequencing. We identified differentially expressed exosomal miRNAs in both relapsing-remitting MS (RRMS) (miR-15b-5p, miR-451a, miR-30b-5p, miR-342-3p) and progressive MS patient sera (miR-127-3p, miR-370-3p, miR-409-3p, miR-432-5p) in relation to controls. Critically, we identified a group of nine miRNAs (miR-15b-5p, miR-23a-3p, miR-223-3p, miR-374a-5p, miR-30b-5p, miR-433-3p, miR-485-3p, miR-342-3p, miR-432-5p) that distinguished relapsing-remitting from progressive disease. Eight out of nine miRNAs were validated in an independent group (n = 11) of progressive MS cases. This is the first demonstration that microRNAs associated with circulating exosomes are informative biomarkers not only for the diagnosis of MS, but in predicting disease subtype with a high degree of accuracy.

Indexed as

AdultBase SequenceCentral Nervous SystemExosomesFemaleGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansMaleMicroRNAsMiddle AgedMultiple Sclerosis, Chronic ProgressiveMultiple Sclerosis, Relapsing-RemittingSequence Analysis, RNAMicroRNAs

Identifiers

PMID29084979
PMCPMC5662562

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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.