ReviewMicrobial genomics2026
Microbiome ecology and antibiotic treatment failure: resistance spread, microbial competition and community engineering.
Review in Microbial genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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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.
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0 citing papers in PubMed.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The failure of antibiotic treatment is a growing concern, driven in large part by the rising incidence of antimicrobial resistance (AMR). Increasing evidence points to the importance of microbial competition in preventing the colonization of disease-causing pathogens and the spread of AMR. Crucially, the pathogens we target with antibiotics do not exist in isolation but instead compete and interact with the microbial communities that colonize the human body, microbiomes. Here, we therefore argue that the key to approaching the challenge of antibiotic treatment failure is understanding the strategies and mechanisms that microbes use to succeed in microbiomes. We discuss how microbial competition influences the colonization of pathogens and the spread of resistance via horizontal gene transfer. We then discuss how microbial competition may be used to synergize with antibiotic treatment or even replace it. Overall, we argue that studying microbial interactions offers a powerful approach to understanding and even mitigating antibiotic treatment failure.
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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 OpenQuestion graph.