Evidence map›Paper›PMID 30114292›Full record

ArticlePloS one2018

Orthologous proteins of experimental de- and remyelination are differentially regulated in the CSF proteome of multiple sclerosis subtypes.

Nellie A Martin, Arkadiusz Nawrocki, Viktor Molnar, Maria L Elkjaer, Eva K Thygesen, Miklos Palkovits, Peter Acs, Tobias Sejbaek, Helle H Nielsen, Zoltan Hegedus and 10 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Astrocytic TIMP-1 regulates production of Anastellin, an inhibitor of oligodendrocyte differentiation and FTY720 responses.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Proteomics in Multiple Sclerosis: The Perspective of the Clinician.International journal of molecular sciences · 2022
    Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Digital Twins for Multiple Sclerosis.Frontiers in immunology · 2021
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

20 authors at 8 institutions in 3 countries.

Nellie A MartinDepartment of Neurology, Odense University Hospital, Odense, Denmark.
Arkadiusz NawrockiDepartment of Neurology, Odense University Hospital, Odense, Denmark.
Viktor MolnarDepartment of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary.
Maria L ElkjaerDepartment of Neurology, Odense University Hospital, Odense, Denmark.
Eva K ThygesenDepartment of Neurology, Odense University Hospital, Odense, Denmark.
Miklos PalkovitsLaboratory of Neuromorphology and Human Brain Tissue Bank/Microdissection Laboratory, Semmelweis University, Budapest, Hungary.
Peter AcsDepartment of Neurology, University of Pecs, Pecs, Hungary.
Tobias SejbaekDepartment of Neurology, Odense University Hospital, Odense, Denmark.
Helle H NielsenDepartment of Neurology, Odense University Hospital, Odense, Denmark.
Zoltan HegedusLaboratory of Bioinformatics, Biological Research Centre, Szeged, Hungary.
Finn SellebjergDanish Multiple Sclerosis Center, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Tihamer MolnarDepartment of Anaesthesiology and Intensive Therapy, University of Pecs, Pecs, Hungary.
Eudes G V BarbosaComputational Biology Group, Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.
Nicolas AlcarazComputational Biology Group, Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.ORCID 0000-0003-0839-8423
Ferenc GallyasDepartment of Biochemistry and Medical Chemistry, University of Pecs, Pecs, Hungary.
Asa F SvenningsenDepartment of Neurobiology Research, Institute for Molecular Medicine, University of Southern Denmark, Odense, Denmark.
Jan BaumbachComputational Biology Group, Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.
Hans LassmannCenter for Brain Research, Medical University of Vienna, Vienna, Austria.
Martin R LarsenDepartment of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark.
Zsolt IllesDepartment of Neurology, Odense University Hospital, Odense, Denmark.ORCID 0000-0001-9655-0450
University of Southern Denmark · DKOdense University Hospital · DKSemmelweis University · HUUniversity of Copenhagen · DKUniversity of Pecs · HUHungarian Academy of Sciences · HUHUN-REN Szegedi Biológiai Kutatóközpont · HUMedical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHere, we applied a multi-omics approach (i) to examine molecular pathways related to de- and remyelination in multiple sclerosis (MS) lesions; and (ii) to translate these findings to the CSF proteome in order to identify molecules that are differentially expressed among MS subtypes.

methodsTo relate differentially expressed genes in MS lesions to de- and remyelination, we compared transcriptome of MS lesions to transcriptome of cuprizone (CPZ)-induced de- and remyelination. Protein products of the overlapping orthologous genes were measured within the CSF by quantitative proteomics, parallel reaction monitoring (PRM). Differentially regulated proteins were correlated with molecular markers of inflammation by using MesoScale multiplex immunoassay. Expression kinetics of differentially regulated orthologous genes and proteins were examined in the CPZ model.

resultsIn the demyelinated and remyelinated corpus callosum, we detected 1239 differentially expressed genes; 91 orthologues were also differentially expressed in MS lesions. Pathway analysis of these orthologues suggested that the TYROBP (DAP12)-TREM2 pathway, TNF-receptor 1, CYBA and the proteasome subunit PSMB9 were related to de- and remyelination. We designed 129 peptides representing 51 orthologous proteins, measured them by PRM in 97 individual CSF, and compared their levels between relapsing (n = 40) and progressive MS (n = 57). Four proteins were differentially regulated among relapsing and progressive MS: tyrosine protein kinase receptor UFO (UFO), TIMP-1, apolipoprotein C-II (APOC2), and beta-2-microglobulin (B2M). The orthologous genes/proteins in the mouse brain peaked during acute remyelination. UFO, TIMP-1 and B2M levels correlated inversely with inflammation in the CSF (IL-6, MCP-1/CCL2, TARC/CCL17). APOC2 showed positive correlation with IL-2, IL-16 and eotaxin-3/CCL26.

conclusionsPathology-based multi-omics identified four CSF markers that were differentially expressed in MS subtypes. Upregulated TIMP-1, UFO and B2M orthologues in relapsing MS were associated with reduced inflammation and reflected reparatory processes, in contrast to the upregulated orthologue APOC2 in progressive MS that reflected changes in lipid metabolism associated with increased inflammation.

Indexed as

AnimalsAxl Receptor Tyrosine KinaseAxonsCerebrospinal Fluid ProteinsCorpus CallosumCuprizoneDemyelinating DiseasesDisease Models, AnimalGene Expression RegulationHumansMiceMultiple SclerosisMyelin SheathProteomeProto-Oncogene ProteinsReceptor Protein-Tyrosine KinasesAxl Receptor Tyrosine KinaseCerebrospinal Fluid ProteinsCuprizoneProteomeProto-Oncogene ProteinsReceptor Protein-Tyrosine KinasesTissue Inhibitor of Metalloproteinase-1

Identifiers

PMID30114292
PMCPMC6095600
OpenAlexW2886385071

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.