ArticleNPJ biofilms and microbiomes2025
Pharmacodynamics of interspecies interactions in polymicrobial infections.
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 5 papers.
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.
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.
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Who cites it
5 citing papers in PubMed.
- Beyond Antibiotics: Traditional Chinese Medicine and Flavonoids in the Management of Endometritis.Veterinary sciences · 2026Review
- Differential antimicrobial responses in polymicrobial triple-species biofilms associated with persistent urinary tract infections.Scientific reports · 2026Article
- Cooperative antibiotic resistance in bacteria: beyond biofilms.Frontiers in microbiology · 2026Review
- In Vitro Analysis of Interactions BetweenAntibiotics (Basel, Switzerland) · 2025Article
- Hyphal growth determines spatial organization and coexistence in a pathogenic polymicrobial community in a spatially structured environment.The ISME journal · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The pharmacodynamic response of bacterial pathogens to antibiotics can be influenced by interactions with other bacterial species in polymicrobial infections (PMIs). Understanding the complex eco-evolutionary dynamics of PMIs and their impact on antimicrobial treatment response represents a step towards developing improved treatment strategies for PMIs. Here, we investigated how interspecies interactions in a multi-species bacterial community affect the pharmacodynamic response to antimicrobial treatment. To this end, we developed an in silico model which combined agent-based modeling with ordinary differential equations. Our analyses suggest that both interspecies interactions, modifying either drug sensitivity or bacterial growth rate, and drug-specific pharmacological properties drive the bacterial pharmacodynamic response. Furthermore, lifestyle of the bacterial population and the range of interactions can influence the impact of species interactions. In conclusion, this study provides a foundation for the design of antimicrobial treatment strategies for PMIs which leverage the effects of interspecies interactions.
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Registered trials
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