Evidence map›Paper›PMID 24475162›Full record

SynthesisPloS one2014

Transcriptomic meta-analysis of multiple sclerosis and its experimental models.

Barbara B R Raddatz, Florian Hansmann, Ingo Spitzbarth, Arno Kalkuhl, Ulrich Deschl, Wolfgang Baumgärtner, Reiner Ulrich

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  4. A pathogenic and clonally expanded B cell transcriptome in active multiple sclerosis.Proceedings of the National Academy of Sciences of the United States of America · 2020
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  20. The Autotaxin-Lysophosphatidic Acid Axis Modulates Histone Acetylation and Gene Expression during Oligodendrocyte Differentiation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
    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

7 authors at 2 institutions in 1 country.

Barbara B R RaddatzDepartment of Pathology, University of Veterinary Medicine Hannover, Hannover, Germany ; Center for Systems Neuroscience, University of Veterinary Medicine Hannover, Hannover, Germany.
Florian HansmannDepartment of Pathology, University of Veterinary Medicine Hannover, Hannover, Germany ; Center for Systems Neuroscience, University of Veterinary Medicine Hannover, Hannover, Germany.
Ingo SpitzbarthDepartment of Pathology, University of Veterinary Medicine Hannover, Hannover, Germany ; Center for Systems Neuroscience, University of Veterinary Medicine Hannover, Hannover, Germany.
Arno KalkuhlDepartment of Non-Clinical Drug Safety, Boehringer Ingelheim Pharma GmbH&Co KG, Biberach (Riß), Germany.
Ulrich DeschlDepartment of Non-Clinical Drug Safety, Boehringer Ingelheim Pharma GmbH&Co KG, Biberach (Riß), Germany.
Wolfgang BaumgärtnerDepartment of Pathology, University of Veterinary Medicine Hannover, Hannover, Germany ; Center for Systems Neuroscience, University of Veterinary Medicine Hannover, Hannover, Germany.
Reiner UlrichDepartment of Pathology, University of Veterinary Medicine Hannover, Hannover, Germany ; Center for Systems Neuroscience, University of Veterinary Medicine Hannover, Hannover, Germany.
University of Veterinary Medicine Hannover, Foundation · DEBoehringer Ingelheim (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple microarray analyses of multiple sclerosis (MS) and its experimental models have been published in the last years.

objectiveMeta-analyses integrate the information from multiple studies and are suggested to be a powerful approach in detecting highly relevant and commonly affected pathways. DATA SOURCES: ArrayExpress, Gene Expression Omnibus and PubMed databases were screened for microarray gene expression profiling studies of MS and its experimental animal models. STUDY ELIGIBILITY CRITERIA: Studies comparing central nervous system (CNS) samples of diseased versus healthy individuals with n >1 per group and publically available raw data were selected. MATERIAL AND

methodsIncluded conditions for re-analysis of differentially expressed genes (DEGs) were MS, myelin oligodendrocyte glycoprotein-induced experimental autoimmune encephalomyelitis (EAE) in rats, proteolipid protein-induced EAE in mice, Theiler's murine encephalomyelitis virus-induced demyelinating disease (TMEV-IDD), and a transgenic tumor necrosis factor-overexpressing mouse model (TNFtg). Since solely a single MS raw data set fulfilled the inclusion criteria, a merged list containing the DEGs from two MS-studies was additionally included. Cross-study analysis was performed employing list comparisons of DEGs and alternatively Gene Set Enrichment Analysis (GSEA).

resultsThe intersection of DEGs in MS, EAE, TMEV-IDD, and TNFtg contained 12 genes related to macrophage functions. The intersection of EAE, TMEV-IDD and TNFtg comprised 40 DEGs, functionally related to positive regulation of immune response. Over and above, GSEA identified substantially more differentially regulated pathways including coagulation and JAK/STAT-signaling.

conclusionA meta-analysis based on a simple comparison of DEGs is over-conservative. In contrast, the more experimental GSEA approach identified both, a priori anticipated as well as promising new candidate pathways.

Indexed as

Gene Expression ProfilingAnimalsCentral Nervous SystemDemyelinating DiseasesEncephalomyelitis, Autoimmune, ExperimentalHumansMiceMicroarray AnalysisMultiple SclerosisMyelin-Oligodendrocyte GlycoproteinProteolipidsRatsSpecies SpecificityTheilovirusTumor Necrosis Factor-alphaMyelin-Oligodendrocyte GlycoproteinProteolipidsTumor Necrosis Factor-alpha

Identifiers

PMID24475162
PMCPMC3903571
OpenAlexW2014847854

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.