Evidence map›Paper›PMID 27347402›Full record

ArticleBiomedical reports2016

Proteomic analysis of cerebrospinal fluid for relapsing-remitting multiple sclerosis and clinically isolated syndrome.

Zbyšek Pavelek, Oldřich Vyšata, Vojtěch Tambor, Kristýna Pimková, Dai Long Vu, Kamil Kuča, Pavel Šťourač, Martin Vališ

Abstract read
In one paragraph

Article in Biomedical reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Proteomics in Multiple Sclerosis: The Perspective of the Clinician.International journal of molecular sciences · 2022
    Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. 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

8 authors.

Zbyšek PavelekDepartment of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, CZ-500 05 Hradec Králové, Czech Republic.
Oldřich VyšataDepartment of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, CZ-500 05 Hradec Králové, Czech Republic.
Vojtěch TamborBiomedical Research Center, University Hospital Hradec Králové, CZ-500 05 Hradec Králové, Czech Republic.
Kristýna PimkováBiomedical Research Center, University Hospital Hradec Králové, CZ-500 05 Hradec Králové, Czech Republic.
Dai Long VuBiomedical Research Center, University Hospital Hradec Králové, CZ-500 05 Hradec Králové, Czech Republic.
Kamil KučaBiomedical Research Center, University Hospital Hradec Králové, CZ-500 05 Hradec Králové, Czech Republic.
Pavel ŠťouračDepartment of Neurology, Faculty of Medicine and University Hospital Brno, CZ-639 00 Brno, Czech Republic.
Martin VališDepartment of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, CZ-500 05 Hradec Králové, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis and treatment of multiple sclerosis (MS) in the initial stages of the disease can significantly retard its progression. The aim of the present study was to identify changes in the cerebrospinal fluid proteome in patients with relapsing-remitting MS and clinically isolated MS syndrome who are at high risk of developing MS (case group) compared to healthy population (control) in order to identify potential new markers, which could ultimately aid in early diagnosis of MS. The protein concentrations of each of the 11 case and 15 control samples were determined using a bicinchoninic acid assay. Nanoscale liquid chromatography coupled with tandem mass spectrometry was used for protein identification. Proteomics data were processed using the Perseus software suite and R. The results were filtered using the Benjamini-Hochberg procedure for the false discovery rate (FDR) correction (FDR<0.05). The results showed that, 26 proteins were significantly dysregulated in case samples compared to the controls. Nine proteins were found to be significantly less abundant in case samples, while the abundance of 17 proteins was significantly increased in case samples compared to controls. Three of the proteins were previously linked to RR MS, including immunoglobulin (Ig) γ-1 chain C region, Ig heavy chain V-III region BRO and Ig κ chain C region. Three proteins that were uniquely expressed in patients with RR MS were identified and these proteins may serve as prognostic biomarkers for identifying patients with a high risk of developing RR MS.

Indexed as

biomarkerscerebrospinal fluidclinically isolated syndromemultiple sclerosisproteinsproteomic analysis

Identifiers

PMID27347402
PMCPMC4906564

What OpenQuestion holds

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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.