Evidence map›Paper›PMID 38041519›Full record

ArticleUnited European gastroenterology journal2024

Gut microbiota signatures in inflammatory bowel disease.

Marie Vibeke Vestergaard, Kristine H Allin, Carsten Eriksen, Oliwia Zakerska-Banaszak, Ramesh P Arasaradnam, Mohammad T Alam, Karsten Kristiansen, Susanne Brix, Tine Jess

Open access · hybridAbstract read
In one paragraph

Article in United European gastroenterology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
18.5field-weighted citation impact, top 1% 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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
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  5. International journal of molecular sciences · 2026
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  15. Complete genomes ofMicrobiology resource announcements · 2026
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  18. Deconvolving Phylogenetic Distance Mixtures.bioRxiv : the preprint server for biology · 2026
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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

9 authors at 5 institutions in 4 countries.

Marie Vibeke VestergaardCenter for Molecular Prediction of Inflammatory Bowel Disease, PREDICT, Department of Clinical Medicine, Aalborg University, Copenhagen, Denmark.ORCID 0009-0006-1409-1945
Kristine H AllinCenter for Molecular Prediction of Inflammatory Bowel Disease, PREDICT, Department of Clinical Medicine, Aalborg University, Copenhagen, Denmark.ORCID 0000-0002-6880-5759
Carsten EriksenCenter for Molecular Prediction of Inflammatory Bowel Disease, PREDICT, Department of Clinical Medicine, Aalborg University, Copenhagen, Denmark.ORCID 0000-0003-4400-3855
Oliwia Zakerska-BanaszakInstitute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.
Ramesh P ArasaradnamWarwick Medical School & Cancer Research Centre, University of Leicester, Leicester, UK.ORCID 0000-0002-2231-3062
Mohammad T AlamWarwick Medical School & Cancer Research Centre, University of Leicester, Leicester, UK.
Karsten KristiansenCenter for Molecular Prediction of Inflammatory Bowel Disease, PREDICT, Department of Clinical Medicine, Aalborg University, Copenhagen, Denmark.
Susanne BrixCenter for Molecular Prediction of Inflammatory Bowel Disease, PREDICT, Department of Clinical Medicine, Aalborg University, Copenhagen, Denmark.
Tine JessCenter for Molecular Prediction of Inflammatory Bowel Disease, PREDICT, Department of Clinical Medicine, Aalborg University, Copenhagen, Denmark.
Aalborg University · DKAalborg University Hospital · DKUniversity of Leicester · GBInstitute of Human Genetics · PLUniversity of Copenhagen · DK

Funding

Danmarks Grundforskningsfond DNRF148
6 · The paper itself

Abstract

backgroundInflammatory bowel diseases (IBD), including Crohn's disease (CD) and ulcerative colitis (UC), affect millions of people worldwide with increasing incidence.

objectivesSeveral studies have shown a link between gut microbiota composition and IBD, but results are often limited by small sample sizes. We aimed to re-analyze publicly available fecal microbiota data from IBD patients.

methodsWe extracted original fecal 16S rRNA amplicon sequencing data from 45 cohorts of IBD patients and healthy individuals using the BioProject database at the National Center for Biotechnology Information. Unlike previous meta-analyses, we merged all study cohorts into a single dataset, including sex, age, geography, and disease information, based on which microbiota signatures were analyzed, while accounting for varying technical platforms.

resultsAmong 2518 individuals in the combined dataset, we discovered a hitherto unseen number of genera associated with IBD. A total of 77 genera associated with CD, of which 38 were novel associations, and a total of 64 genera associated with UC, of which 28 represented novel associations. Signatures were robust across different technical platforms and geographic locations. Reduced alpha diversity in IBD compared to healthy individuals, in CD compared to UC, and altered microbiota composition (beta diversity) in UC and especially in CD as compared to healthy individuals were found.

conclusionsCombining original microbiota data from 45 cohorts, we identified a hitherto unseen large number of genera associated with IBD. Identification of microbiota features robustly associated with CD and UC may pave the way for the identification of new treatment targets.

Indexed as

Colitis, UlcerativeCrohn DiseaseGastrointestinal MicrobiomeInflammatory Bowel DiseasesHumansRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNA amplicon sequencingCrohn's diseaseFaecalibacteriumIBDLachnospiraceae NK4A136 groupmicrobiomemicrobiotaRoseburiaTuricibacterulcerative colitis

Identifiers

PMID38041519
PMCPMC10859715
OpenAlexW4389265247

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.