ArticleJournal of microbiological methods2013
A mucosal model to study microbial biofilm development and anti-biofilm therapeutics.
Article in Journal of microbiological methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 34 citations in OpenAlex.
- Experimental biofilm models for pharmacokinetic and pharmacodynamic investigations: bridging in vitro, ex vivo and in vivo systems.The Journal of antimicrobial chemotherapy · 2026Review
- Subinhibitory Antibiotic Concentrations Enhance Biofilm Formation of ClinicalAntibiotics (Basel, Switzerland) · 2021Article
- Unlocking the Power of Exosomes for Crossing Biological Barriers in Drug Delivery.Pharmaceutics · 2021Review
- A review of co-culture models to study the oral microenvironment and disease.Journal of oral microbiology · 2020Review
- Small Molecules Produced by Commensal Staphylococcus epidermidis Disrupt Formation of Biofilms by Staphylococcus aureus.Applied and environmental microbiology · 2020Article
- Oral mucosa-on-a-chip to assess layer-specific responses to bacteria and dental materials.Biomicrofluidics · 2018Article
- Alpha-Toxin Contributes to Biofilm Formation among Staphylococcus aureus Wound Isolates.Toxins · 2018Article
- Antibacterial and Antifungal Activities of Poloxamer Micelles Containing Ceragenin CSA-131 on Ciliated Tissues.Molecules (Basel, Switzerland) · 2018Article
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- Lactobacillus crispatus inhibits growth of Gardnerella vaginalis and Neisseria gonorrhoeae on a porcine vaginal mucosa model.BMC microbiology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Biofilms are a sessile colony of bacteria which adhere to and persist on surfaces. The ability of bacteria to form biofilms is considered a virulence factor, and in fact is central to the pathogenesis of some organisms. Biofilms are inherently resistant to chemotherapy and host immune responses. Clinically, biofilms are considered a primary cause of a majority of infections, such as otitis media, pneumonia in cystic fibrosis patients and endocarditis. However, the vast majority of the data on biofilm formation comes from traditional microtiter-based or flow displacement assays with no consideration given to host factors. These assays, which have been a valuable tool in high-throughput screening for biofilm-related factors, do not mimic a host-pathogen interaction and may contribute to an inappropriate estimation of the role of some factors in clinical biofilm formation. We describe the development of a novel ex vivo model of biofilm formation on a mucosal surface by an important mucosal pathogen, methicillin resistant S. aureus (MRSA). This model is being used for the identification of microbial virulence factors important in mucosal biofilm formation and novel anti-biofilm therapies.
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.