Evidence map›Paper›PMID 25152817›Full record

ArticleMultiple sclerosis international2014

Cytokines as Biomarkers of Treatment Response to IFN β in Relapsing-Remitting Multiple Sclerosis.

Nikolaos Dimisianos, Maria Rodi, Dimitra Kalavrizioti, Vasileios Georgiou, Panagiotis Papathanasopoulos, Athanasia Mouzaki

Abstract read
In one paragraph

Article in Multiple sclerosis international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

6 authors.

Nikolaos DimisianosDepartment of Neurology, Patras University Hospital, 26500 Patras, Greece.ORCID 0000-0003-1765-3211
Maria RodiDivision of Hematology, Department of Internal Medicine, Medical School, University of Patras, 26500 Patras, Greece.
Dimitra KalavriziotiDivision of Hematology, Department of Internal Medicine, Medical School, University of Patras, 26500 Patras, Greece.ORCID 0000-0002-1853-9368
Vasileios GeorgiouHellenic Open University, Parodos Aristotelous 18, 26335 Patras, Greece.
Panagiotis PapathanasopoulosDepartment of Neurology, Patras University Hospital, 26500 Patras, Greece.
Athanasia MouzakiDivision of Hematology, Department of Internal Medicine, Medical School, University of Patras, 26500 Patras, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. MS patients show a remarkable heterogeneity in their response to disease modifying treatments. Given the need for early treatment initiation and the diversity of available options, a predictive marker that indicates good or poor response to treatment is highly desirable. Objective. To find a biomarker for treatment response to IFNβ among pro- and anti-inflammatory cytokines. Materials and Methods. IFN-γ, TNF-α, IL-2, IL-4, IL-6, IL-10, IL-17A, and TGF-β1 levels were measured in serum and CSF of 43 patients with RR-MS who were followed up for a mean period of 5.3 years. Thirty-five patients received IFNβ treatment and were divided into good responders (GR, n = 19) and poor responders (PR, n = 16). The remaining 8 patients showed a very favorable outcome and remained untreated (noRx). Results. GR had significantly higher serum baseline levels of IL-17A than PR and significantly higher serum levels of IL-17A, IFN-γ, TNF-α, and IL-2 than noRx. PR had significantly higher IFN-γ serum levels than noRx. No significant differences were observed in serum levels of IL-6, IL-4, IL-10, and TGF-β1 or the levels of all cytokines measured in CSF between the 3 groups of patients. Conclusions. Baseline serum levels of IL-17A can be used as a biomarker of IFNβ treatment response.

Identifiers

PMID25152817
PMCPMC4134814

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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.