Evidence map›Paper›PMID 40858623›Full record

ArticleNPJ biofilms and microbiomes2025

Candida albicans colonization in the human colon correlates with a reduction in acetate- and butyrate-producing bacteria, as simulated using the M-SHIME® model.

Benoît Marsaux, Warre d'Hoker, Frédéric Moens, Dries Van Elst, Yorick Minnebo, Massimo Marzorati, Tom Van de Wiele

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Gut microbes · 2025
    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

7 authors.

Benoît MarsauxProDigest B.V., Ghent, Belgium. Benoit.Marsaux@Prodigest.eu.
Warre d'HokerCMET, Ghent University, Ghent, Belgium.
Frédéric MoensProDigest B.V., Ghent, Belgium.
Dries Van ElstProDigest B.V., Ghent, Belgium.
Yorick MinneboCMET, Ghent University, Ghent, Belgium.
Massimo MarzoratiProDigest B.V., Ghent, Belgium.
Tom Van de WieleProDigest B.V., Ghent, Belgium.

Funding

European Union's Horizon 2020 812969
6 · The paper itself

Abstract

Candida albicans is a common gut commensal, typically restricted by the resident microbiota. However, microbiome disruption can enable its outgrowth, increasing the risk of life-threatening candidiasis. Restoring key protective microbes offer a therapeutic strategy, though their identification remains challenging. Using the M-SHIME® model simulating the human proximal colon, we investigated C. albicans-bacteriome interactions under eubiotic and dysbiotic conditions. We assessed how clindamycin, ciprofloxacin, and metronidazole modulate C. albicans colonization and evaluated associated microbial and metabolic shifts. The effects were antibiotic- and donor-specific: clindamycin facilitated colonization, ciprofloxacin had no impact, and metronidazole showed variable outcomes. Engraftment did not correlate with total bacterial concentration or α-diversity, but with the loss of specific taxa, notably Lachnospiraceae and Bifidobacterium. These correlations were supported functionally by reductions in acetate and butyrate, suggesting a metabolic mechanism of fungal suppression. This study highlights the role of dysbiosis in C. albicans outgrowth and supports targeted microbiome restoration strategies.

Indexed as

AcetatesBacteriaButyratesCandida albicansColonGastrointestinal MicrobiomeAnti-Bacterial AgentsCiprofloxacinClindamycinDysbiosisHumansMetronidazoleAcetatesAnti-Bacterial AgentsButyratesCiprofloxacinClindamycinMetronidazole

Identifiers

PMID40858623
PMCPMC12381105

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.