Evidence map›Paper›PMID 25991924›Full record

ArticleGenome medicine2015

Transcriptomic landscape of lncRNAs in inflammatory bowel disease.

Aashiq H Mirza, Claus Hb Berthelsen, Stefan E Seemann, Xiaoyong Pan, Klaus S Frederiksen, Mogens Vilien, Jan Gorodkin, Flemming Pociot

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% 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

111 citing papers in PubMed, 2 syntheses or guidelines pooled it, 180 citations in OpenAlex.

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51 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 1 country.

Aashiq H MirzaCenter for non-coding RNA in Technology and Health, University of Copenhagen, Frederiksberg, 1870 Denmark ; Department of Pediatrics E, Copenhagen Diabetes Research Center (CPH-DIRECT), Herlev University Hospital, Herlev, 2730 Denmark ; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200 Denmark.
Claus Hb BerthelsenCenter for non-coding RNA in Technology and Health, University of Copenhagen, Frederiksberg, 1870 Denmark ; Department of Obesity Biology, Novo Nordisk, Måløv, 2760 Denmark.
Stefan E SeemannCenter for non-coding RNA in Technology and Health, University of Copenhagen, Frederiksberg, 1870 Denmark ; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200 Denmark.
Xiaoyong PanCenter for non-coding RNA in Technology and Health, University of Copenhagen, Frederiksberg, 1870 Denmark ; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200 Denmark ; The Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, 2200 Denmark.
Klaus S FrederiksenDepartment of Molecular Genetics, Novo Nordisk, Måløv, 2760 Denmark.
Mogens VilienDepartment of Surgery, North Zealand Hospital, Hillerød, 3400 Denmark.
Jan GorodkinCenter for non-coding RNA in Technology and Health, University of Copenhagen, Frederiksberg, 1870 Denmark ; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200 Denmark.
Flemming PociotCenter for non-coding RNA in Technology and Health, University of Copenhagen, Frederiksberg, 1870 Denmark ; Department of Pediatrics E, Copenhagen Diabetes Research Center (CPH-DIRECT), Herlev University Hospital, Herlev, 2730 Denmark ; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200 Denmark.
University of Copenhagen · DKNovo Nordisk (Denmark) · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammatory bowel disease (IBD) is a complex multi-factorial inflammatory disease with Crohn's disease (CD) and ulcerative colitis (UC) being the two most common forms. A number of transcriptional profiling studies have provided compelling evidence that describe the role of protein-coding genes and microRNAs in modulating the immune responses in IBD.

methodsIn the present study, we performed a genome-wide transcriptome profiling of lncRNAs and protein-coding genes in 96 colon pinch biopsies (inflamed and non-inflamed) extracted from multiple colonic locations from 45 patients (CD = 13, UC = 20, controls = 12) using an expression microarray platform.

resultsIn our study, we identified widespread dysregulation of lncRNAs and protein-coding genes in both inflamed and non-inflamed CD and UC compared to the healthy controls. In cases of inflamed CD and UC, we identified 438 and 745 differentially expressed lncRNAs, respectively, while in cases of the non-inflamed CD and UC, we identified 12 and 19 differentially expressed lncRNAs, respectively. We also observed significant enrichment (P-value <0.001, Pearson's Chi-squared test) for 96 differentially expressed lncRNAs and 154 protein-coding genes within the IBD susceptibility loci. Furthermore, we found strong positive expression correlations for the intersecting and cis-neighboring differentially expressed IBD loci-associated lncRNA-protein-coding gene pairs. The functional annotation analysis of differentially expressed genes revealed their involvement in the immune response, pro-inflammatory cytokine activity and MHC protein complex.

conclusionsThe lncRNA expression profiling in both inflamed and non-inflamed CD and UC successfully stratified IBD patients from the healthy controls. Taken together, the identified lncRNA transcriptional signature along with clinically relevant parameters suggest their potential as biomarkers in IBD.

Identifiers

PMID25991924
PMCPMC4437449
OpenAlexW2133567825

What OpenQuestion holds

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LicenceCC BY
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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.