Evidence map›Paper›PMID 39419819›Full record

ArticleInflammatory bowel diseases2025

Gut Microbial Signatures in Pediatric Crohn's Disease Vary According to Disease Activity Measures and Are Influenced by Proxies of Gastrointestinal Transit Time: An ImageKids Study.

Ben Nichols, Richard K Russell, Bryn Short, Rodanthi Papadopoulou, Gili Focht, Umer Z Ijaz, Thomas D Walters, Malgorzata Sladek, Richard Hansen, David R Mack and 4 more

Abstract read
In one paragraph

Article in Inflammatory bowel diseases, 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. Article
  3. Review
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

14 authors.

Ben NicholsHuman Nutrition, School of Medicine, Dentistry & Nursing, University of Glasgow, New Lister Building, Glasgow Royal Infirmary, Glasgow G31 2ER, UK.
Richard K RussellDepartment of Paediatric Gastroenterology, Royal Hospital for Children and Young People, 50 Little France Crescent, Edinburgh EH16 4TJ, UK.
Bryn ShortHuman Nutrition, School of Medicine, Dentistry & Nursing, University of Glasgow, New Lister Building, Glasgow Royal Infirmary, Glasgow G31 2ER, UK.
Rodanthi PapadopoulouHuman Nutrition, School of Medicine, Dentistry & Nursing, University of Glasgow, New Lister Building, Glasgow Royal Infirmary, Glasgow G31 2ER, UK.
Gili FochtJuliet Keidan Institute of Pediatric Gastroenterology, Hepatology and Nutrition, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
Umer Z IjazJames Watt School of Engineering, University of Glasgow, UK.
Thomas D WaltersDepartment of Gastroenterology, Hospital for Sick Children, University of Toronto, Toronto, Canada.
Malgorzata SladekDepartment of Pediatrics, Gastroenterology and Nutrition, Jagiellonian University Medical College, Cracow, Poland.
Richard HansenDivision of Clinical and Molecular Medicine, School of Medicine, University of Dundee, Dundee, UK.
David R MackCHEO Inflammatory Bowel Disease Centre, Division of Gastroenterology, Hepatology and Nutrition, Children's Hospital of Eastern Ontario, Ottawa, ON K1H 8L1, Canada.
Eytan WineDepartment of Pediatrics, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0002-3458-4142
Anne M GriffithsDepartment of Gastroenterology, Hospital for Sick Children, University of Toronto, Toronto, Canada.
Dan TurnerJuliet Keidan Institute of Pediatric Gastroenterology, Hepatology and Nutrition, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
Konstantinos GerasimidisHuman Nutrition, School of Medicine, Dentistry & Nursing, University of Glasgow, New Lister Building, Glasgow Royal Infirmary, Glasgow G31 2ER, UK.ORCID 0000-0001-9432-2200

Funding

Glasgow Children's Hospital Charity
6 · The paper itself

Abstract

introductionWe investigated relationships between disease activity measures and the gut microbiome in children with Crohn's disease (CD) and how these were confounded by gastrointestinal transit time.

methodsMicrobiome was profiled (16S rRNA sequencing) in feces from 196 children with CD. Sixty participants also provided samples after 18 months. Mural inflammation (Pediatric Inflammatory Crohn's Magnetic Resonance Enterography Index, PICMI), the simple endoscopic score for CD, and the weighted pediatric Crohn's disease activity index (wPCDAI) were assessed. Fecal calprotectin, plasma C-reactive protein (CRP), and fecal water content (FWC), a proxy of gastrointestinal transit time, were measured too.

resultsMicrobiome α diversity, clustering, and differential taxa were related to disease status, but varied remarkably by disease activity measure used. The strongest relationships between microbiome and disease activity status were observed using wPCDAI; fewer or no relationships were seen using more objective measures like PICMI. Taxa predictive of disease activity status were dependent on the disease activity measure used with negligible overlap. Active disease was associated with more pathobionts (eg, Viellonella, Enterobacterales) and fewer fiber-fermenting organisms. The effect FWC had on microbiome superseded the effect of active disease for all disease activity measures, particularly with wPCDAI. Accounting for FWC, the differences in microbial signatures explained by disease activity status were attenuated or lost.

conclusionsIn CD, microbiome signatures fluctuate depending on the measure used to assess disease severity; several of these signals might be secondary disease effects linked with changes in gut motility in active disease. PICMI appears to be less influenced when studying relationships between microbiome and mural inflammation in CD.

Indexed as

Crohn DiseaseGastrointestinal MicrobiomeGastrointestinal TransitAdolescentChildC-Reactive ProteinFecesFemaleHumansLeukocyte L1 Antigen ComplexMaleRNA, Ribosomal, 16SSeverity of Illness IndexC-Reactive ProteinLeukocyte L1 Antigen ComplexRNA, Ribosomal, 16SCrohn’s diseasefecal water contentmicrobiomesequencing

Identifiers

PMID39419819
PMCPMC12166297

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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.