Evidence map›Paper›PMID 24155895›Full record

ArticlePloS one2013

Identification of novel predictor classifiers for inflammatory bowel disease by gene expression profiling.

Trinidad Montero-Meléndez, Xavier Llor, Esther García-Planella, Mauro Perretti, Antonio Suárez

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. TET1 deficiency amplifies macrophage inflammatory signaling associated with Crohn's disease.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
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  4. Integrative Analysis of Intestinal Transcriptomes UnderscoresBioinformatics and biology insights · 2026
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  9. Review
  10. ER stress genes (Frontiers in immunology · 2025
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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

5 authors at 5 institutions in 3 countries.

Trinidad Montero-MeléndezThe William Harvey Research Institute, Barts and The London School of Medicine, Queen Mary University of London, London, United Kingdom.
Xavier Llor
Esther García-Planella
Mauro Perretti
Antonio Suárez
Queen Mary University of London · GBUniversidad de Granada · ESUniversitat Autònoma de Barcelona · ESUniversity of Illinois Chicago · USWilliam Harvey Research Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImprovement of patient quality of life is the ultimate goal of biomedical research, particularly when dealing with complex, chronic and debilitating conditions such as inflammatory bowel disease (IBD). This is largely dependent on receiving an accurate and rapid diagnose, an effective treatment and in the prediction and prevention of side effects and complications. The low sensitivity and specificity of current markers burden their general use in the clinical practice. New biomarkers with accurate predictive ability are needed to achieve a personalized approach that take the inter-individual differences into consideration.

methodsWe performed a high throughput approach using microarray gene expression profiling of colon pinch biopsies from IBD patients to identify predictive transcriptional signatures associated with intestinal inflammation, differential diagnosis (Crohn's disease or ulcerative colitis), response to glucocorticoids (resistance and dependence) or prognosis (need for surgery). Class prediction was performed with self-validating Prophet software package.

resultsTranscriptional profiling divided patients in two subgroups that associated with degree of inflammation. Class predictors were identified with predictive accuracy ranging from 67 to 100%. The expression accuracy was confirmed by real time-PCR quantification. Functional analysis of the predictor genes showed that they play a role in immune responses to bacteria (PTN, OLFM4 and LILRA2), autophagy and endocytocis processes (ATG16L1, DNAJC6, VPS26B, RABGEF1, ITSN1 and TMEM127) and glucocorticoid receptor degradation (STS and MMD2).

conclusionsWe conclude that using analytical algorithms for class prediction discovery can be useful to uncover gene expression profiles and identify classifier genes with potential stratification utility of IBD patients, a major step towards personalized therapy.

Indexed as

Gene Expression ProfilingColitis, UlcerativeCrohn DiseaseGene Expression RegulationHumansInflammationInflammatory Bowel DiseasesOligonucleotide Array Sequence AnalysisPhenotypeReal-Time Polymerase Chain ReactionReproducibility of Results

Identifiers

PMID24155895
PMCPMC3796518
OpenAlexW2007534521

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.