ReviewFuture microbiology2015
Biofilm models of polymicrobial infection.
Review in Future microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.
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.
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.
Who cites it
70 citing papers in PubMed, 151 citations in OpenAlex.
- Trial
- Antibiotic Selection for Sustained Local Therapy May Be Important to ReduceMicroorganisms · 2026Article
- Experimental biofilm models for pharmacokinetic and pharmacodynamic investigations: bridging in vitro, ex vivo and in vivo systems.The Journal of antimicrobial chemotherapy · 2026Review
- Unveiling the In Vitro Antibiofilm Efficacy of Antifungal Lipopeptides Purified fromACS omega · 2025Article
- Article
- Preparing a Dual-SpeciesMolecular pharmaceutics · 2025Article
- Activity of antimicrobial photodynamic therapy against a cariogenic biofilm composed of a microbial consortium.Journal of biomedical optics · 2025Article
- Utilizing the effectiveness of phage cocktail to combat Shigella and Salmonella infections and their polymicrobial biofilm control activity.BMC microbiology · 2025Article
- Saccharin disrupts bacterial cell envelope stability and interferes with DNA replication dynamics.EMBO molecular medicine · 2025Article
- Metabolic interplay betweenmBio · 2024Article
- Metabolic Footprint ofPathogens (Basel, Switzerland) · 2024Article
- Triple threat: how diabetes results in worsened bacterial infections.Infection and immunity · 2024Review
- Microbiological analysis of tunneled hemodialysis catheters isolated from patients receiving hemodialysis in Saskatchewan.Future microbiology · 2024Article
- Characterization of Lemongrass Extract (Cymbopagon citratus) Nanoemulsion and Its Application as an Antibiofilm Agent in Acrylic Resin.Journal of pharmacy & bioallied sciences · 2024Article
- The type IV pilus chemoreceptor PilJ controls chemotaxis of one bacterial species towards another.PLoS biology · 2024Article
- Bacterial Persister Cells and Development of Antibiotic Resistance in Chronic Infections: An Update.British journal of biomedical science · 2024Review
- HAMLET, a human milk protein-lipid complex, modulates amoxicillin induced changes in anFrontiers in microbiology · 2024Article
- Strain-dependent interactions ofCanadian journal of veterinary research = Revue canadienne de recherche veterinaire · 2023Article
- A High-Throughput Microtiter Plate Screening Assay to Quantify and Differentiate Species in Dual-Species Biofilms.Microorganisms · 2023Article
- Evaluating models and assessment techniques for understanding oral biofilm complexity.MicrobiologyOpen · 2023Review
10 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Interactions between microbes are complex and play an important role in the pathogenesis of infections. These interactions can range from fierce competition for nutrients and niches to highly evolved cooperative mechanisms between different species that support their mutual growth. An increasing appreciation for these interactions, and desire to uncover the mechanisms that govern them, has resulted in a shift from monomicrobial to polymicrobial biofilm studies in different disease models. Here we provide an overview of biofilm models used to study select polymicrobial infections and highlight the impact that the interactions between microbes within these biofilms have on disease progression. Notable recent advances in the development of polymicrobial biofilm-associated infection models and challenges facing the study of polymicrobial biofilms are addressed.
Indexed as
Identifiers
What OpenQuestion holds
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.