Evidence map›Paper›PMID 38900957›Full record

ArticleJournal of the Royal Society, Interface2024

A mechanistic modelling approach of the host-microbiota interactions to investigate beneficial symbiotic resilience in the human gut.

Marie Haghebaert, Béatrice Laroche, Lorenzo Sala, Stanislas Mondot, Joël Doré

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Foods (Basel, Switzerland) · 2026
    Article
  3. Review
  4. Article
  5. 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.

Marie HaghebaertUniversity Paris-Saclay, INRAE, MaIAGE , Jouy-en-Josas 78350, France.
Béatrice LarocheUniversity Paris-Saclay, INRAE, MaIAGE , Jouy-en-Josas 78350, France.ORCID 0000-0001-7821-332X
Lorenzo SalaUniversity Paris-Saclay, INRAE, MaIAGE , Jouy-en-Josas 78350, France.ORCID 0000-0002-8878-0616
Stanislas MondotMicalis Institute, INRAE, AgroParisTech, University Paris-Saclay , Jouy-en-Josas 78350, France.
Joël DoréMicalis Institute, INRAE, AgroParisTech, University Paris-Saclay , Jouy-en-Josas 78350, France.

Funding

H2020 European Research Council see manuscript
6 · The paper itself

Abstract

The health and well-being of a host are deeply influenced by the interactions with its gut microbiota. Contrasted environmental conditions, such as diseases or dietary habits, play a pivotal role in modulating these interactions, impacting microbiota composition and functionality. Such conditions can also lead to transitions from beneficial to detrimental symbiosis, viewed as alternative stable states of the host-microbiota dialogue. This article introduces a novel mathematical model exploring host-microbiota interactions, integrating dynamics of the colonic epithelial crypt, microbial metabolic functions, inflammation sensitivity and colon flows in a transverse section. The model considers metabolic shifts in epithelial cells based on butyrate and hydrogen sulfide concentrations, innate immune pattern recognition receptor activation, microbial oxygen tolerance and the impact of antimicrobial peptides on the microbiota. Using the model, we demonstrated that a high-protein, low-fibre diet exacerbates detrimental interactions and compromises beneficial symbiotic resilience, underscoring a destabilizing effect towards an unhealthy state. Moreover, the proposed model provides essential insights into oxygen levels, fibre and protein breakdown, and basic mechanisms of innate immunity in the colon and offers a crucial understanding of factors influencing the colon environment.

Indexed as

Gastrointestinal MicrobiomeModels, BiologicalSymbiosisColonHost Microbial InteractionsHumansImmunity, Innatecolon flows modelcolonic crypt modelhost–microbiota interactions modellinghuman gut microbiotaPDE–ODE coupling

Identifiers

PMID38900957
PMCPMC11285522

What OpenQuestion holds

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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.