Evidence map›Paper›PMID 29915593›Full record

ArticleFrontiers in immunology2018

Detection of Glycan Shedding in the Blood: New Class of Multiple Sclerosis Biomarkers?

Brian DellaValle, Alba Manresa-Arraut, Henrik Hasseldam, Allan Stensballe, Jørgen Rungby, Agnete Larsen, Casper Hempel

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 24% of its field
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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Article
  3. Multiomics integration prioritizes potential drug targets for multiple sclerosis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. The Glycocalyx: The Importance of Sugar Coating the Blood-Brain Barrier.International journal of molecular sciences · 2024
    Review
  5. Article
  6. Review
  7. Review
  8. The neurovascular extracellular matrix in health and disease.Experimental biology and medicine (Maywood, N.J.) · 2021
    Review
  9. Review
  10. Article
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 at 4 institutions in 1 country.

Brian DellaValleDepartment of Biomedicine/Pharmacology, Aarhus University, Aarhus, Denmark.
Alba Manresa-ArrautDepartment of Biomedical Sciences, Faculty of Health, University of Copenhagen, Copenhagen, Denmark.
Henrik HasseldamDepartment of Biomedical Sciences, Faculty of Health, University of Copenhagen, Copenhagen, Denmark.
Allan StensballeDepartment of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Jørgen RungbyDepartment of Biomedicine/Pharmacology, Aarhus University, Aarhus, Denmark.
Agnete LarsenDepartment of Biomedicine/Pharmacology, Aarhus University, Aarhus, Denmark.
Casper HempelDepartment of Clinical Microbiology, Copenhagen University Hospital, Copenhagen, Denmark.
University of Copenhagen · DKAarhus University · DKAalborg University · DKCopenhagen University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Multiple sclerosis (MS) is a devastating autoimmune disease, afflicting people in the prime of their lives. Presently, after initial clinical presentation, there are no reliable markers for whether a patient will develop MS, or whether their prognosis will be aggressive or relapsing-remitting. Furthermore, many MS patients do not respond to treatment. Thus, markers for diagnosis, prognosis, and treatment-responsiveness are lacking for a disease, where a precision medicine approach would be valuable. The glycocalyx (GLX) is the carbohydrate-rich outer surface of the blood vessel wall and is the first interaction between the blood and the vessel. We hypothesized that cleavage of the GLX may be an early stage predictor of immune attack, blood-brain barrier (BBB) breakdown, and disease severity in MS. Methods: Two experimental models of MS, experimental autoimmune encephalitis (EAE), were included in this study. EAE was induced in C57BL/6J mice and Lewis rats, which were monitored for weight loss and clinical presentation in comparison to healthy controls. Plasma samples were obtained longitudinally from mice until peak disease severity and at peak disease severity in rats. Soluble GLX-associated glycosaminoglycans (GAG) and proteoglycans (PG) were detected in plasma samples. Results: All animals receiving EAE emulsion developed fulminant EAE (100% penetrance). Increased plasma levels of chondroitin sulfate were detected before the onset of clinical symptoms and remained elevated at peak disease severity. Hyaluronic acid was increased at the height of the disease, whereas heparan sulfate was transiently increased during early stages only. By contrast, syndecans 1, 3, and 4 were detected in EAE samples as well as healthy controls, with no significant differences between the two groups. Discussion: In this study, we present data supporting the shedding of the GLX as a new class of biomarker for MS. In particular, soluble, sugar-based GLX components are associated with disease severity in two models of MS, molecules that would not be detected in proteomics-based screens of MS patient samples. Patient studies are presently underway.

Indexed as

AnimalsBiomarkersBlood-Brain BarrierDisease Models, AnimalEncephalomyelitis, Autoimmune, ExperimentalHumansMiceMultiple SclerosisMyelin-Oligodendrocyte GlycoproteinPolysaccharidesProteoglycansRatsSeverity of Illness IndexBiomarkersMyelin-Oligodendrocyte GlycoproteinPolysaccharidesProteoglycansBBBbiomarkersEAEglycocalyxglycosaminoglycansmultiple sclerosisprecision medicineproteoglycans

Identifiers

PMID29915593
PMCPMC5994890
OpenAlexW2803288804

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.