Evidence map›Paper›PMID 22216338›Full record

ArticlePloS one2011

Reassessment of blood gene expression markers for the prognosis of relapsing-remitting multiple sclerosis.

Michael Hecker, Brigitte Katrin Paap, Robert Hermann Goertsches, Ole Kandulski, Christian Fatum, Dirk Koczan, Hans-Peter Hartung, Hans-Juergen Thiesen, Uwe Klaus Zettl

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-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

17 citing papers in PubMed, 33 citations in OpenAlex.

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  15. Role of toll-like receptors in multiple sclerosis.American journal of clinical and experimental immunology · 2013
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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

9 authors at 3 institutions in 1 country.

Michael HeckerSteinbeis Transfer Center for Proteome Analysis, Rostock, Germany. michael.hecker@rocketmail.com
Brigitte Katrin Paap
Robert Hermann Goertsches
Ole Kandulski
Christian Fatum
Dirk Koczan
Hans-Peter Hartung
Hans-Juergen Thiesen
Uwe Klaus Zettl
University of Rostock · DESteinbeis Foundation · DEHeinrich Heine University Düsseldorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite considerable advances in the treatment of multiple sclerosis, current drugs are only partially effective. Most patients show reduced disease activity with therapy, but still experience relapses, increasing disability, and new brain lesions. Since there are no reliable clinical or biological markers of disease progression, long-term prognosis is difficult to predict for individual patients. We identified 18 studies that suggested genes expressed in blood as predictive biomarkers. We validated the prognostic value of those genes with three different microarray data sets comprising 148 patients in total. Using these data, we tested whether the genes were significantly differentially expressed between patients with good and poor courses of the disease. Poor progression was defined by relapses and/or increase of disability during a two-year follow-up, independent of the administered therapy. Of 110 genes that have been proposed as predictive biomarkers, most could not be confirmed in our analysis. However, the G protein-coupled membrane receptor GPR3 was expressed at significantly lower levels in patients with poor disease progression in all data sets. GPR3 has therefore a high potential to be a biomarker for predicting future disease activity. In addition, we examined the IL17 cytokines and receptors in more detail and propose IL17RC as a new, promising, transcript-based biomarker candidate. Further studies are needed to better understand the roles of these receptors in multiple sclerosis and its treatment and to clarify the utility of GPR3 and IL17RC expression levels in the blood as markers of long-term prognosis.

Indexed as

Gene Expression ProfilingAdultBiomarkersDisease ProgressionFemaleHumansMaleMiddle AgedMultiple Sclerosis, Relapsing-RemittingPrognosisBiomarkers

Identifiers

PMID22216338
PMCPMC3246503
OpenAlexW2150249033

What OpenQuestion holds

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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.