ArticleThe ISME journal2026
Acidifying bacteria inhibit pathogenic bacteria more strongly with increasing glucose.
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.
What it found
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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.
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Authors and funding
3 authors.
Funding
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.
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Registered trials
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.