Evidence mapPaperPMID 42577488Full record

ArticleFrontiers in microbiology2026

Integrated multiomics reveals stable microbe-metabolite relationships in pediatric celiac disease.

Peter J Prendergast, Alan Aitchison, Shaun S C Ho, Vanessa K Morris, Christoph Göbl, Renwick C J Dobson, Andrew S Day, Olivia J Ogilvie

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Peter J PrendergastSchool of Biological Sciences, University of Canterbury, Christchurch, New Zealand.
Alan AitchisonDepartment of Paediatrics and Child Health, The University of Otago Christchurch, New Zealand.
Shaun S C HoDepartment of Gastroenterology and Clinical Nutrition, The Royal Children's Hospital, Melbourne, Parkville, VIC, Australia.
Vanessa K MorrisSchool of Biological Sciences, University of Canterbury, Christchurch, New Zealand.
Christoph GöblSchool of Biological Sciences, University of Canterbury, Christchurch, New Zealand.
Renwick C J DobsonSchool of Biological Sciences, University of Canterbury, Christchurch, New Zealand.
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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Celiac disease is a lifelong immune-mediated disease triggered by dietary gluten and managed exclusively through a strict gluten-free diet. Differences in the gut microbiome are consistently observed in celiac disease, yet the associated metabolic consequences remain insufficiently defined. This study evaluated the stool microbiome-metabolome relationship in children from Canterbury, New Zealand, a region with a notably high prevalence of celiac disease (∼ 1 in 82). Eleven children with untreated celiac disease and 10 controls were assessed, with nine children resampled after 6 months of gluten-free diet adherence. Stool samples were subjected to 16S rRNA sequencing, targeted and untargeted metabolomic profiling, and multi-omics integration using cross-block and machine-learning approaches. Celiac disease was characterized by consistent reproducible changes in a small set of resampled-stable taxa and metabolites, rather than a uniform shift. The most prominent finding was rearrangement within

Indexed as

BacteroidesBilophilaceliac diseasegluten-free dietgut microbiomemetabolomicsmultiomicsshort-chain fatty acids

Identifiers

PMID42577488
PMCPMC13454391

What Socratic holds

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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 Socratic graph.