Evidence map›Paper›PMID 40571931›Full record

ArticleBMC microbiology2025

[1]The human gut microbiota in IBD, characterizing hubs, the core microbiota and terminal nodes: a network-based approach.

Theresa Geese, Corinna Bang, Andre Franke, Wolfgang Lieb, Astrid Dempfle

Abstract read
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Deconvolving Phylogenetic Distance Mixtures.bioRxiv : the preprint server for biology · 2026
    Article
  7. Review
  8. Review
  9. CD74Journal of translational medicine · 2025
    Article
  10. 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

5 authors.

Theresa GeeseInstitute of Medical Informatics and Statistics, Kiel University and University Hospital Schleswig-Holstein, Brunswiker Straße 10, 24105, Kiel, Germany.
Corinna BangInstitute of Clinical Molecular Biology, Kiel University, Kiel, Germany.
Andre FrankeInstitute of Clinical Molecular Biology, Kiel University, Kiel, Germany.
Wolfgang LiebInstitute of Epidemiology, Kiel University, Kiel, Germany.
Astrid DempfleInstitute of Medical Informatics and Statistics, Kiel University and University Hospital Schleswig-Holstein, Brunswiker Straße 10, 24105, Kiel, Germany. dempfle@medinfo.uni-kiel.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDysbiosis, an imbalance in the bacterial composition of the human gut microbiota, is linked to inflammatory bowel disease (IBD). Advances in biological techniques have generated vast microbiota datasets, presenting both opportunities and challenges for clinical research in that field. Network theory offers powerful tools to analyze these complex datasets.

methodsUtilizing genetically unrelated individuals from the Kiel IBD-KC cohort, we compared network properties of the gut microbiota between patients with inflammatory bowel disease (IBD, n = 522) and healthy controls (n = 365), and between Crohn's disease (CD, n = 230) and Ulcerative Colitis (UC, n = 280). Correlation-based microbial networks were constructed, with genera as nodes and significant pairwise correlations as edges. We used centrality measures to identify key microbial constituents, called hubs, and suggest a network-based definition for a core microbiota. Using Graphlet theoretical approaches, we analyzed network topology and individual node roles.

resultsGlobal network properties differed between cases and controls, with controls showing a potentially more robust network structure characterized by e.g., a greater number of components and a lower edge density. Local network properties varied across all groups. For cases and both UC and CD, Faecalibacterium and Veillonella, and for unaffected controls Bacteroides, Blautia, Clostridium XIVa, and Clostridium XVIII emerged as unique hubs in the respective networks. Graphlet analysis revealed significant differences in terminal node orbits among all groups. Four genera which act as hubs in one state, were found to be terminal nodes in the opposite disease state: Bacteroides, Clostridium XIVa, Faecalibacterium, and Subdoligranulum. Comparing our network-based core microbiota definition with a conventional one showed an overlap in approximately half of the core taxa, while core taxa identified through our new definition maintained high abundance.

conclusionThe network-based approach complements previous investigations of alteration of the human gut microbiota in IBD by offering a different perspective that extends beyond a focus solely on highly abundant taxa. Future studies should further investigate functional roles of hubs and terminal nodes as potential targets for interventions and preventions. Additionally, the advantages of the newly proposed network-based core microbiota definition, should be investigated more systematically.

Indexed as

BacteriaGastrointestinal MicrobiomeInflammatory Bowel DiseasesAdultCase-Control StudiesCohort StudiesColitis, UlcerativeCrohn DiseaseDysbiosisFecesFemaleHumansMaleMiddle AgedCentrality measuresCore microbiotaGraphletsGut microbiotaHub and terminal nodesInflammatory bowel diseaseNetwork analysis

Identifiers

PMID40571931
PMCPMC12199529

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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 OpenQuestion graph.