Evidence mapPaperPMID 40140706Full record

ArticleNature microbiology2025

Metabolic modelling reveals the aging-associated decline of host-microbiome metabolic interactions in mice.

Lena Best, Thomas Dost, Daniela Esser, Stefano Flor, Andy Mercado Gamarra, Madlen Haase, A Samer Kadibalban, Georgios Marinos, Alesia Walker, Johannes Zimmermann and 15 more

Abstract read
In one paragraph

Article in Nature microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Gut · 2026
    Article
  7. Sleeve gastrectomy protects lean mice from future obesity.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
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  12. Review
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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

25 authors.

Lena BestResearch Group Medical Systems Biology, Institute of Experimental Medicine, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.ORCID http://orcid.org/0000-0003-2772-153X
Thomas Dost *Research Group Medical Systems Biology, Institute of Experimental Medicine, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.
Daniela Esser *Research Group Medical Systems Biology, Institute of Experimental Medicine, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.
Stefano Flor *Research Group Medical Systems Biology, Institute of Experimental Medicine, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.
Andy Mercado Gamarra *Research Group Medical Systems Biology, Institute of Experimental Medicine, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.ORCID http://orcid.org/0009-0006-1243-6348
Madlen Haase *Department of Neurology, Jena University Hospital, Jena, Germany.
A Samer Kadibalban *Research Group Medical Systems Biology, Institute of Experimental Medicine, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.
Georgios Marinos *Research Group Medical Systems Biology, Institute of Experimental Medicine, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.ORCID http://orcid.org/0000-0002-6443-7696
Alesia Walker *Research Unit Analytical BioGeoChemistry, Helmholtz Munich, Neuherberg, Germany.
Johannes Zimmermann *Research 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
Rowena SimonDepartment of Neurology, Jena University Hospital, Jena, Germany.
Silvio SchmidtDepartment of Neurology, Jena University Hospital, Jena, Germany.ORCID http://orcid.org/0000-0002-3157-2605
Jan TaubenheimResearch Group Medical Systems Biology, Institute of Experimental Medicine, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.ORCID http://orcid.org/0000-0001-7283-1768
Sven KünzelMax Planck Institute for Evolutionary Biology, Plön, Germany.
Robert HäslerInstitute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.
Sören FranzenburgInstitute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.ORCID http://orcid.org/0000-0001-6374-4910
Marco GrothCore Facility Next-Generation Sequencing, Leibniz Institute on Aging-Fritz Lipmann Institute, Jena, Germany.ORCID http://orcid.org/0000-0002-9199-8990
Silvio WaschinaNutriinformatics, Institute of Human Nutrition and Food Science, Kiel University, 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
Felix SommerInstitute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.ORCID http://orcid.org/0000-0002-6545-3487
Otto W WitteDepartment of Neurology, Jena University Hospital, Jena, Germany.
Philippe Schmitt-KopplinResearch Unit Analytical BioGeoChemistry, Helmholtz Munich, Neuherberg, Germany.ORCID http://orcid.org/0000-0003-0824-2664
John F BainesMax Planck Institute for Evolutionary Biology, Plön, Germany.
Christiane FrahmDepartment of Neurology, Jena University Hospital, Jena, Germany.
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

Deutsche Forschungsgemeinschaft (German Research Foundation) 416 418087534Deutsche Forschungsgemeinschaft (German Research Foundation) EXC2167Deutsche Forschungsgemeinschaft (German Research Foundation) FOR5042EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 859890
6 · The paper itself

Abstract

Aging is accompanied by considerable changes in the gut microbiome, yet the molecular mechanisms driving aging and the role of the microbiome remain unclear. Here we combined metagenomics, transcriptomics and metabolomics from aging mice with metabolic modelling to characterize host-microbiome interactions during aging. Reconstructing integrated metabolic models of host and 181 mouse gut microorganisms, we show a complex dependency of host metabolism on known and previously undescribed microbial interactions. We observed a pronounced reduction in metabolic activity within the aging microbiome accompanied by reduced beneficial interactions between bacterial species. These changes coincided with increased systemic inflammation and the downregulation of essential host pathways, particularly in nucleotide metabolism, predicted to rely on the microbiota and critical for preserving intestinal barrier function, cellular replication and homeostasis. Our results elucidate microbiome-host interactions that potentially influence host aging processes. These pathways could serve as future targets for the development of microbiome-based anti-aging therapies.

Indexed as

AgingGastrointestinal MicrobiomeHost Microbial InteractionsAnimalsBacteriaMaleMetabolomicsMetagenomicsMiceMice, Inbred C57BL

Identifiers

PMID40140706
PMCPMC11964932

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.