Evidence map›Paper›PMID 26460890›Full record

ArticlePloS one2015

The Urine Proteome Profile Is Different in Neuromyelitis Optica Compared to Multiple Sclerosis: A Clinical Proteome Study.

Helle H Nielsen, Hans C Beck, Lars P Kristensen, Mark Burton, Tunde Csepany, Magdolna Simo, Peter Dioszeghy, Tobias Sejbaek, Manuela Grebing, Niels H H Heegaard and 1 more

Registry-linked trialOpen access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04032379 (Diagnostic and Prognostic Biomarkers of Idiopathic Intracranial Hypertension), which is not on this map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.7field-weighted citation impact, top 28% 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.

NCT04032379 recruitingnot on this mapstarted 2018, after this paper: background citation

Diagnostic and Prognostic Biomarkers of Idiopathic Intracranial Hypertension

Typeobservational_patient_registrySponsorDanish Headache CenterRan2018 to 2027Enrolled300ConditionsBenign Intracranial HypertensionArmsStandard treatment
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Applications of artificial intelligence and bioinformatics methodologies in the analysis of ocular biofluid markers: a scoping review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Article
  5. Article
  6. Article
  7. Proteomics in Multiple Sclerosis: The Perspective of the Clinician.International journal of molecular sciences · 2022
    Review
  8. Review
  9. HBFP: a new repository for human body fluid proteome.Database : the journal of biological databases and curation · 2021
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. 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

11 authors at 5 institutions in 2 countries.

Helle H NielsenDepartment of Neurology, Odense University Hospital, Odense, Denmark; Institute for Clinical Research, University of Southern Denmark, Odense, Denmark.
Hans C BeckCenter for Clinical Proteomics, Odense University Hospital, Odense, Denmark.
Lars P KristensenCenter for Clinical Proteomics, Odense University Hospital, Odense, Denmark.
Mark BurtonDepartment for Clinical Genetics Odense University Hospital, Odense, Denmark.
Tunde CsepanyDepartment of Neurology, University of Debrecen, Faculty of Medicine, Debrecen, Hungary.
Magdolna SimoDepartment of Neurology, Semmelweis University, Budapest, Hungary.
Peter DioszeghyDepartment of Neurology, Josa Andras Teaching Hospital, Nyiregyhaza, Hungary.
Tobias SejbaekDepartment of Neurology, Odense University Hospital, Odense, Denmark; Institute for Clinical Research, University of Southern Denmark, Odense, Denmark.
Manuela GrebingInstitute for Molecular Medicine, University of Southern Denmark, Odense, Denmark.
Niels H H HeegaardCenter for Clinical Proteomics, Odense University Hospital, Odense, Denmark; Department of Autoimmunology & Biomarkers, Statens Serum Institut, Copenhagen, Denmark; Clinical Biochemistry, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark.
Zsolt IllesDepartment of Neurology, Odense University Hospital, Odense, Denmark; Institute for Clinical Research, University of Southern Denmark, Odense, Denmark.
University of Southern Denmark · DKOdense University Hospital · DKJósa András Múzeum · HUSemmelweis University · HUUniversity of Debrecen · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesInflammatory demyelinating diseases of the CNS comprise a broad spectrum of diseases like neuromyelitis optica (NMO), NMO spectrum disorders (NMO-SD) and multiple sclerosis (MS). Despite clear classification criteria, differentiation can be difficult. We hypothesized that the urine proteome may differentiate NMO from MS.

methodsThe proteins in urine samples from anti-aquaporin 4 (AQP4) seropositive NMO/NMO-SD patients (n = 32), patients with MS (n = 46) and healthy subjects (HS, n = 31) were examined by quantitative liquid chromatography-tandem mass spectrometry (LC-MS/MS) after trypsin digestion and iTRAQ labelling. Immunoglobulins (Ig) in the urine were validated by nephelometry in an independent cohort (n = 9-10 pr. groups).

resultsThe analysis identified a total of 1112 different proteins of which 333 were shared by all 109 subjects. Cluster analysis revealed differences in the urine proteome of NMO/NMO-SD compared to HS and MS. Principal component analysis also suggested that the NMO/NMO-SD proteome profile was useful for classification. Multivariate regression analysis revealed a 3-protein profile for the NMO/NMO-SD versus HS discrimination, a 6-protein profile for NMO/NMO-SD versus MS discrimination and an 11-protein profile for MS versus HS discrimination. All protein panels yielded highly significant ROC curves (AUC in all cases >0.85, p≤0.0002). Nephelometry confirmed the presence of increased Ig-light chains in the urine of patients with NMO/NMO-SD.

conclusionThe urine proteome profile of patients with NMO/NMO-SD is different from MS and HS. This may reflect differences in the pathogenesis of NMO/NMO-SD versus MS and suggests that urine may be a potential source of biomarkers differentiating NMO/NMO-SD from MS.

Indexed as

AdultAgedCase-Control StudiesCluster AnalysisDemographyFalse Positive ReactionsFemaleHumansLogistic ModelsMaleMiddle AgedMultiple SclerosisNeuromyelitis OpticaPrincipal Component AnalysisProteomeProteomicsProteome

Identifiers

PMID26460890
PMCPMC4604198
OpenAlexW2203104219

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.