Evidence map›Paper›PMID 26890122›Full record

ArticlePloS one2016

Behçet's: A Disease or a Syndrome? Answer from an Expression Profiling Study.

Ali Kemal Oğuz, Seda Taşır Yılmaz, Çağdaş Şahap Oygür, Tuba Çandar, Irmak Sayın, Sibel Serin Kılıçoğlu, İhsan Ergün, Aşkın Ateş, Hilal Özdağ, Nejat Akar

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In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Ali Kemal OğuzDepartment of Internal Medicine, Ufuk University School of Medicine, Ankara, Turkey.
Seda Taşır YılmazBiotechnology Institute, Ankara University, Ankara, Turkey.
Çağdaş Şahap OygürDepartment of Internal Medicine, Başkent University School of Medicine, Ankara, Turkey.
Tuba ÇandarDepartment of Biochemistry, Ufuk University School of Medicine, Ankara, Turkey.
Irmak SayınDepartment of Internal Medicine, Ufuk University School of Medicine, Ankara, Turkey.
Sibel Serin KılıçoğluDepartment of Histology and Embryology, Ufuk University School of Medicine, Ankara, Turkey.
İhsan ErgünDivision of Nephrology, Department of Internal Medicine, Ufuk University School of Medicine, Ankara, Turkey.
Aşkın AteşDivision of Rheumatology, Department of Internal Medicine, Ankara University School of Medicine, Ankara, Turkey.
Hilal ÖzdağBiotechnology Institute, Ankara University, Ankara, Turkey.
Nejat AkarDepartment of Pediatrics, TOBB University of Economics and Technology Hospital, Ankara, Turkey.
Ankara University · TRUfuk University · TRBaşkent University · TRTOBB University of Economics and Technology · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Behçet's disease (BD) is a chronic, relapsing, multisystemic inflammatory disorder with unanswered questions regarding its etiology/pathogenesis and classification. Distinct manifestation based subsets, pronounced geographical variations in expression, and discrepant immunological abnormalities raised the question whether Behçet's is "a disease or a syndrome". To answer the preceding question we aimed to display and compare the molecular mechanisms underlying distinct subsets of BD. For this purpose, the expression data of the gene expression profiling and association study on BD by Xavier et al (2013) was retrieved from GEO database and reanalysed by gene expression data analysis/visualization and bioinformatics enrichment tools. There were 15 BD patients (B) and 14 controls (C). Three subsets of BD patients were generated: MB (isolated mucocutaneous manifestations, n = 7), OB (ocular involvement, n = 4), and VB (large vein thrombosis, n = 4). Class comparison analyses yielded the following numbers of differentially expressed genes (DEGs); B vs C: 4, MB vs C: 5, OB vs C: 151, VB vs C: 274, MB vs OB: 215, MB vs VB: 760, OB vs VB: 984. Venn diagram analysis showed that there were no common DEGs in the intersection "MB vs C" ∩ "OB vs C" ∩ "VB vs C". Cluster analyses successfully clustered distinct expressions of BD. During gene ontology term enrichment analyses, categories with relevance to IL-8 production (MB vs C) and immune response to microorganisms (OB vs C) were differentially enriched. Distinct subsets of BD display distinct expression profiles and different disease associated pathways. Based on these clear discrepancies, the designation as "Behçet's syndrome" (BS) should be encouraged and future research should take into consideration the immunogenetic heterogeneity of BS subsets. Four gene groups, namely, negative regulators of inflammation (CD69, CLEC12A, CLEC12B, TNFAIP3), neutrophil granule proteins (LTF, OLFM4, AZU1, MMP8, DEFA4, CAMP), antigen processing and presentation proteins (CTSS, ERAP1), and regulators of immune response (LGALS2, BCL10, ITCH, CEACAM8, CD36, IL8, CCL4, EREG, NFKBIZ, CCR2, CD180, KLRC4, NFAT5) appear to be instrumental in BS immunopathogenesis.

Indexed as

Gene Expression ProfilingTranscriptomeAdultBehcet SyndromeCluster AnalysisComputational BiologyDatabases, Nucleic AcidDatasets as TopicFemaleGene Expression RegulationGenetic LinkageGenetic LociGenome-Wide Association StudyHumansMaleMiddle Aged

Identifiers

PMID26890122
PMCPMC4758705
OpenAlexW2279756269

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Registered trials

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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.