Evidence map›Paper›PMID 40456745›Full record

ArticleNature communications2025

Metabolic modeling reveals a multi-level deregulation of host-microbiome metabolic networks in IBD.

Jan Taubenheim, A Samer Kadibalban, Johannes Zimmermann, Claudia Taubenheim, Florian Tran, Stefan Schreiber, Philip Rosenstiel, Konrad Aden, Christoph Kaleta

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2025. 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 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
  2. Review
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  5. Article
  6. Article
  7. Article
  8. Review
  9. Tracing NADCell reports · 2026
    Article
  10. Strain-Specific Effects ofMicroorganisms · 2026
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
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  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Jan Taubenheim *Research Group Medical Systems Biology, Institute of Experimental Medicine, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany. j.taubenheim@iem.uni-kiel.de.ORCID http://orcid.org/0000-0001-7283-1768
A Samer Kadibalban *Research Group Medical Systems Biology, Institute of Experimental Medicine, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.
Johannes ZimmermannResearch Group Medical Systems Biology, Institute of Experimental Medicine, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.ORCID http://orcid.org/0000-0002-5041-1954
Claudia TaubenheimClinic for Internal Medicine II, Hematology and Oncology, University Hospital Schleswig-Holstein, Kiel, Germany.
Florian TranInstitute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.ORCID http://orcid.org/0000-0002-3735-9872
Stefan SchreiberInstitute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.
Philip RosenstielInstitute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.ORCID http://orcid.org/0000-0002-9692-8828
Konrad AdenInstitute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.ORCID http://orcid.org/0000-0003-3482-7316
Christoph KaletaResearch Group Medical Systems Biology, Institute of Experimental Medicine, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany. c.kaleta@iem.uni-kiel.de.ORCID http://orcid.org/0000-0001-8004-9514

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 01ZX1902ABundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 01ZX1915ADeutsche Forschungsgemeinschaft (German Research Foundation) EXC2167Deutsche Forschungsgemeinschaft (German Research Foundation) FOR5042Else Kröner-Fresenius-Stiftung (Else Kroner-Fresenius Foundation) 2020_EKCS.11
6 · The paper itself

Abstract

Inflammatory bowel diseases (IBDs) are chronic disorders involving dysregulated immune responses. Despite the role of disrupted host-microbial interaction in the pathophysiology of IBD, the underlying metabolic principles are not fully understood. We densely profiled microbiome, transcriptome and metabolome signatures from longitudinal IBD cohorts before and after advanced drug therapy initiation and reconstructed metabolic models of the gut microbiome and the host intestine to study host-microbiome metabolic cross-talk in the context of inflammation. Here, we identified concomitant changes in metabolic activity across data layers involving NAD, amino acid, one-carbon and phospholipid metabolism. In particular on the host level, elevated tryptophan catabolism depleted circulating tryptophan, thereby impairing NAD biosynthesis. Reduced host transamination reactions disrupted nitrogen homeostasis and polyamine/glutathione metabolism. The suppressed one-carbon cycle in patient tissues altered phospholipid profiles due to limited choline availability. Simultaneously, microbiome metabolic shifts in NAD, amino acid and polyamine metabolism exacerbated these host metabolic imbalances. Leveraging host and microbe metabolic models, we predicted dietary interventions remodeling the microbiome to restore metabolic homeostasis, suggesting novel therapeutic strategies for IBD.

Indexed as

Gastrointestinal MicrobiomeHost Microbial InteractionsInflammatory Bowel DiseasesMetabolic Networks and PathwaysAmino AcidsFemaleHomeostasisHumansMaleMetabolomeMetabolomicsModels, BiologicalNADPhospholipidsPolyaminesTranscriptomeAmino AcidsNADPhospholipidsPolyaminesTryptophan

Identifiers

PMID40456745
PMCPMC12130198

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.