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Cited by 1,136

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Evolving concepts in biofilm infections

Open access
Hall-Stoodley, Luanne, Stoodley, Paul·2009·Cellular Microbiology

Abstract

Several pathogens associated with chronic infections, including Pseudomonas aeruginosa in cystic fibrosis pneumonia, Haemophilus influenzae and Streptococcus pneumoniae in chronic otitis media, Staphylococcus aureus in chronic rhinosinusitis and enteropathogenic Escherichia coli in recurrent urinary tract infections, are linked to biofilm formation. Biofilms are usually defined as surface-associated microbial communities, surrounded by an extracellular polymeric substance (EPS) matrix. Biofilm formation has been demonstrated for numerous pathogens and is clearly an important microbial survival strategy. However, outside of dental plaques, fewer reports have investigated biofilm development in clinical samples. Typically biofilms are found in chronic diseases that resist host immune responses and antibiotic treatment and these characteristics are often cited for the ability of bacteria to persist in vivo. This review examines some recent attempts to examine the biofilm phenotype in vivo and discusses the challenges and implications for defining a biofilm phenotype.

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Metadata

Authors
Hall-Stoodley, L., & Stoodley, P.
Venue
Cellular Microbiology
Published
2009-07
Volume
11
Issue
7
Pages
1034-1043
ISSN
  • 1462-5814 (ISSN-L)
  • 1462-5822
OpenAlex
W2003114988
Cited by
1,136
References
5
FWCI
27.13
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Evolving concepts in biofilm infections. https://app.cochat.ai/papers/10.1111/j.1462-5822.2009.01323.x
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Hall-Stoodley, L., & Stoodley, P. (2009). Evolving concepts in biofilm infections. Cellular Microbiology. https://doi.org/10.1111/j.1462-5822.2009.01323.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.