Evidence map›Paper›PMID 39673136›Full record

ArticleNeurogastroenterology and motility2025

Genome-Wide DNA Methylation Identifies Potential Disease-Specific Biomarkers and Pathophysiologic Mechanisms in Irritable Bowel Syndrome, Inflammatory Bowel Disease, and Celiac Disease.

Swapna Mahurkar-Joshi, Mike Thompson, Elizza Villarruel, James D Lewis, Lisa D Lin, Mary Farid, Hamed Nayeb-Hashemi, Tina Storage, Guy A Weiss, Berkeley N Limketkai and 3 more

Abstract read
In one paragraph

Article in Neurogastroenterology and motility, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

13 authors.

Swapna Mahurkar-JoshiG. Oppenheimer Center for the Neurobiology of Stress and Resilience, Los Angeles, California, USA.
Mike ThompsonSystems Biology, Centre for Genomic Regulation, Barcelona, Spain.
Elizza VillarruelDavid Geffen School of Medicine at UCLA, Los Angeles, California, USA.
James D LewisDivision of Gastroenterology and Hepatology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Lisa D LinVatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, California, USA.
Mary FaridVatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, California, USA.
Hamed Nayeb-HashemiVatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, California, USA.
Tina StorageVatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, California, USA.
Guy A WeissVatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, California, USA.
Berkeley N LimketkaiVatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, California, USA.
Jenny S SaukVatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, California, USA.
Emeran A MayerG. Oppenheimer Center for the Neurobiology of Stress and Resilience, Los Angeles, California, USA.
Lin ChangG. Oppenheimer Center for the Neurobiology of Stress and Resilience, Los Angeles, California, USA.ORCID https://orcid.org/0000-0001-6800-2967

Funding

Women's Health and Functional Visceral Disorders CenterP50DK064539 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MAYER, EMERAN A · 2002 to 2017
$17.5M
DNA Methylation Based Biomarkers and Epigenetic Regulation in IBSR21DK104078 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHANG, LIN · 2015 to 2016
$424k
NIDDK NIH HHS P50 DK064539NIDDK NIH HHS P50 DK64539NIDDK NIH HHS R21 DK104078NIH HHS R21 DK104078Technology Development Group, UCLA
6 · The paper itself

Abstract

BACKGROUND AND

aimsIrritable bowel syndrome (IBS), inflammatory bowel disease (IBD), and celiac disease (CeD) present with similar gastrointestinal (GI) symptoms. DNA methylation-based biomarkers have not been investigated as diagnostic biomarkers to classify these disorders. We aimed to study DNA methylation profiles of IBS, IBD, CeD, and healthy controls (HC), develop machine learning-based classifiers, and identify associated gene ontology (GO) terms.

methodsGenome-wide DNA methylation of peripheral blood mononuclear cells from 315 patients with IBS, IBD, CeD, and HC was measured using Illumina's 450K or EPIC arrays. A methylation dataset on 304 IBD and HC samples was used for external validation. Differential methylation was measured using general linear models. Classifiers were developed using penalized generalized linear models using double cross-validation controlling for confounders. Functional enrichment was assessed using GO.

resultsThree hundred and fifteen participants (148 IBS, 47 IBD, 34 CeD, and 86 HC) had DNA methylation data. IBS-IBD and IBD-CeD showed the highest number of differentially methylated CpG sites followed by IBD-HC, CeD-HC, and IBS-HC. IBS-associated genes were enriched in cell adhesion and neuronal pathways, while IBD- and CeD-associated markers were enriched in inflammation and MHC class II pathways, respectively (p < 0.05). Classification performances assessed using area under the receiver operating characteristic curves (AUC) for IBS-IBD, IBS-CeD, and IBD-CeD were 0.80 (95% CI = 0.7-0.87, p = 6.75E-10), 0.78 (95% CI = 0.68-0.86, p = 4.57E-10), and 0.73 (95% CI = 0.62-0.83, p = 0.03), respectively. The performance of IBD-HC was successfully validated using external data (AUC = 0.74 [95% CI = 68-0.80, p < 0.001]).

conclusionsBlood-based DNA methylation biomarkers can potentially distinguish chronic GI disorders that present with similar symptoms. GO suggested functional significance of the classifiers in disease-specific pathology.

Indexed as

Celiac DiseaseDNA MethylationInflammatory Bowel DiseasesIrritable Bowel SyndromeAdultBiomarkersFemaleGenome-Wide Association StudyHumansMachine LearningMaleMiddle AgedBiomarkersCeliac DiseaseDNA Methylation‐Based BiomarkersInflammatory Bowel DiseaseIrritable Bowel SyndromeMachine Learning

Identifiers

PMID39673136
PMCPMC11748828

What OpenQuestion holds

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LicenceTDM
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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.