Evidence map›Paper›PMID 42098439›Full record

ArticleCommunications medicine2026

Comprehensive cross-cohort analysis reveals global gut microbiome signatures of celiac disease.

Peter J Prendergast, Haig V Bishop, Craig W Herbold, Elena F Verdu, Renwick C J Dobson, Andrew S Day, Olivia J Ogilvie

Erratum issuedAbstract read
In one paragraph

Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Peter J PrendergastSchool of Biological Sciences, University of Canterbury, Christchurch, New Zealand.
Haig V BishopSchool of Biological Sciences, University of Canterbury, Christchurch, New Zealand.ORCID http://orcid.org/0000-0003-4118-3598
Craig W HerboldSchool of Biological Sciences, University of Canterbury, Christchurch, New Zealand.ORCID http://orcid.org/0000-0003-3479-0197
Elena F VerduFarncombe Family Digestive Health Research Institute, McMaster University, Hamilton, ON, Canada.ORCID http://orcid.org/0000-0001-6346-2665
Renwick C J DobsonSchool of Biological Sciences, University of Canterbury, Christchurch, New Zealand.ORCID http://orcid.org/0000-0002-5506-4939
Andrew S DayDepartment of Paediatrics and Child Health, The University of Otago, Christchurch, New Zealand.
Olivia J OgilvieSchool of Biological Sciences, University of Canterbury, Christchurch, New Zealand. olivia.ogilvie@canterbury.ac.nz.ORCID http://orcid.org/0000-0002-6670-9077

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCeliac disease affects ~1-2% of people and remains incurable, requiring lifelong dietary restriction. The gut microbiome is thought to contribute to the development and progression of celiac disease. However, findings across previous studies are fragmented, making it difficult to understand exactly how the gut microbiome is involved.

methodsWe integrate over 900 samples from global datasets spanning different disease stages (before onset, during active disease, and after treatment), body sites, and research methods. Datasets produced using both 16S rRNA gene sequencing and shotgun metagenomics profile the gut microbiome. Alpha and beta diversity analyses and differential abundance testing identify consistent changes in bacterial communities linked to celiac disease. Machine learning tests how well microbiome data predicts disease status.

resultsHere, we show that celiac disease is not marked by large changes in gut microbiome diversity. Instead, there are subtle, consistent changes in specific bacteria, including a reduction in beneficial butyrate producers (Faecalibacterium, Prevotella, Agathobacter, Gemmiger), changes in mucin-associated microbes (Akkermansia muciniphila), and an increase in potentially harmful bacteria (Helicobacter, Campylobacter, Haemophilus parainfluenzae). These changes are seen before and during active disease and persist on a gluten-free diet. Microbiome-based disease prediction is moderately accurate for active disease and weaker for prospective performance, likely constrained by training data.

conclusionsOur findings suggest that celiac disease is linked to specific changes in gut bacteria that are not fully resolved by diet alone. Future treatments may need to focus on restoring healthy gut bacteria, not just avoiding gluten, to better manage the disease.

Identifiers

PMID42098439
PMCPMC13365834

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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.