Evidence map›Paper›PMID 31141529›Full record

ArticlePloS one2019

Plasma protein profiling reveals candidate biomarkers for multiple sclerosis treatment.

Sahl Khalid Bedri, Ola B Nilsson, Katharina Fink, Anna Månberg, Carl Hamsten, Burcu Ayoglu, Ali Manouchehrinia, Peter Nilsson, Tomas Olsson, Jan Hillert and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

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

12 authors at 3 institutions in 1 country.

Sahl Khalid BedriDepartment of Clinical Neuroscience and Centrum for Molecular Medicine at Karolinska, Institutet, Stockholm, Sweden.ORCID 0000-0002-7750-5723
Ola B NilssonDepartment of Clinical Neuroscience and Centrum for Molecular Medicine at Karolinska, Institutet, Stockholm, Sweden.
Katharina FinkDepartment of Clinical Neuroscience and Centrum for Molecular Medicine at Karolinska, Institutet, Stockholm, Sweden.
Anna MånbergAffinity Proteomics, SciLifeLab, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden.
Carl HamstenImmunology and Allergy unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Burcu AyogluAffinity Proteomics, SciLifeLab, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden.
Ali ManouchehriniaDepartment of Clinical Neuroscience and Centrum for Molecular Medicine at Karolinska, Institutet, Stockholm, Sweden.
Peter NilssonAffinity Proteomics, SciLifeLab, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden.
Tomas OlssonDepartment of Clinical Neuroscience and Centrum for Molecular Medicine at Karolinska, Institutet, Stockholm, Sweden.
Jan HillertDepartment of Clinical Neuroscience and Centrum for Molecular Medicine at Karolinska, Institutet, Stockholm, Sweden.
Hans GrönlundDepartment of Clinical Neuroscience and Centrum for Molecular Medicine at Karolinska, Institutet, Stockholm, Sweden.
Anna GlaserDepartment of Clinical Neuroscience and Centrum for Molecular Medicine at Karolinska, Institutet, Stockholm, Sweden.
Karolinska Institutet · SEScience for Life Laboratory · SEKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) treatment options have improved significantly over the past decades, but the consequences of MS can still be devastating and the needs for monitoring treatment surveillance are considerable. In the current study we used affinity proteomics technology to identify potential biomarkers which could ultimately be used to as facilitate treatment decisions. We profiled the intra-individual changes in the levels of 59 target proteins using an antibody suspension bead array in serial plasma samples from 44 MS patients during treatment with natalizumab followed by fingolimod. Nine proteins showed decreasing plasma levels during natalizumab treatment, with PEBP1 and RTN3 displaying the most significant changes. Protein levels remained stable during fingolimod treatment for both proteins. The decreasing PEBP1 levels during natalizumab treatment could be validated using ELISA and replicated in an independent cohort. These results support the use of this technology as a high throughput method of identifying potentially useful biomarkers of MS treatment.

Indexed as

AdultBiomarkersCohort StudiesFemaleFingolimod HydrochlorideHumansImmunologic FactorsImmunosuppressive AgentsMaleMultiple SclerosisNatalizumabProteomicsBiomarkersFingolimod HydrochlorideImmunologic FactorsImmunosuppressive AgentsNatalizumab

Identifiers

PMID31141529
PMCPMC6541274
OpenAlexW2946910754

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.