Evidence map›Paper›PMID 42364161›Full record

ArticleThe ISME journal2026

Acidifying bacteria inhibit pathogenic bacteria more strongly with increasing glucose.

Andrea R Dos Santos, Clément Vulin, Sara Mitri

Abstract read
In one paragraph

Article in The ISME journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Andrea R Dos SantosDepartment of Fundamental Microbiology, University of Lausanne, Quartier Unil-Sorge, Bâtiment Biophore, CH-1015 Lausanne, Switzerland.
Clément VulinDepartment of Fundamental Microbiology, University of Lausanne, Quartier Unil-Sorge, Bâtiment Biophore, CH-1015 Lausanne, Switzerland.
Sara MitriDepartment of Fundamental Microbiology, University of Lausanne, Quartier Unil-Sorge, Bâtiment Biophore, CH-1015 Lausanne, Switzerland.ORCID 0000-0003-3930-5357

Funding

Swiss National Science Foundation 181272Swiss National Science Foundation SNF 51NF40_180575
6 · The paper itself

Abstract

Classical microbiology has focused on directly suppressing pathogens using drugs, ignoring other harmless microbial species living alongside them. We now have a much better understanding of how species interact and affect one another's growth within microbial communities, e.g. through chemical production. Here we capitalize on this understanding to demonstrate how one can manipulate and control the strength of interactions between bacterial species, and combine this with antibiotics to eliminate pathogens. Using experiments and a mathematical model, we first show how Citrobacter freundii can suppress the pathogen Pseudomonas aeruginosa by reducing the pH, alongside the use of ampicillin. This negative interaction from C. freundii to P. aeruginosa can be strengthened by increasing glucose concentrations. Our proof-of-concept approach also worked against other pathogens: Klebsiella pneumoniae and Agrobacterium tumefaciens, and a different competitor species: Lactobacillus plantarum, a common probiotic. Overall, we show that taking advantage of the community and chemical context in which microbes live can help to develop efficient strategies to control them. In the medical or agricultural context, this approach can help to eliminate pathogens thereby reducing our reliance on antibiotics.

Indexed as

AntibiosisCitrobacter freundiiGlucoseMicrobial InteractionsPseudomonas aeruginosaAgrobacterium tumefaciensAmpicillinAnti-Bacterial AgentsHydrogen-Ion ConcentrationKlebsiella pneumoniaeLactiplantibacillus plantarumAmpicillinAnti-Bacterial AgentsGlucoseantibioticcontrolpathogenspH

Identifiers

PMID42364161
PMCPMC13477223

What Socratic holds

Textmetadata
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.