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The role of quorum sensing in chronic cystic fibrosis Pseudomonas aeruginosa infections

Winstanley, Craig, Fothergill, Joanne L.·2009·FEMS Microbiology Letters

Abstract

Studies on cultured cells and in infection models have shown that cell density-dependent quorum-sensing (QS) controls many of the known virulence factors of Pseudomonas aeruginosa. However, it is less clear what role QS plays in chronic human lung infections associated with cystic fibrosis (CF). The involvement of QS in biofilm development, crucial to the establishment of long-term infections, suggests a role in the early stages of infection. However, the accumulation of QS mutants during chronic CF infections has been taken to indicate that any role diminishes thereafter. Here, we discuss the evidence for a continuing role for QS in P. aeruginosa CF infections, including QS activity in CF sputa and CF-relevant effects of QS-regulated products, such as pyocyanin. Bacterial population behaviour in CF is complex, and the exact roles of QS remains unclear. Therapeutic strategies directed against QS suggest that a greater understanding of bacterial populations during infection would be a valuable research goal from a clinical perspective.

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Crossref · 10.1111/j.1574-6968.2008.01394.x

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Metadata

Authors
Winstanley, C., & Fothergill, J. L.
Venue
FEMS Microbiology Letters
Published
2009-01
Volume
290
Issue
1
Pages
1-9
ISSN
  • 0378-1097 (ISSN-L)
  • 1574-6968
OpenAlex
W2038404933
Cited by
179
References
1
FWCI
5.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The role of quorum sensing in chronic cystic fibrosis Pseudomonas aeruginosa infections. https://app.cochat.ai/papers/10.1111/j.1574-6968.2008.01394.x
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Winstanley, C., & Fothergill, J. L. (2009). The role of quorum sensing in chronic cystic fibrosis Pseudomonas aeruginosa infections. FEMS Microbiology Letters. https://doi.org/10.1111/j.1574-6968.2008.01394.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.