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Cited by 302

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

Pyocyanin effects on respiratory epithelium: relevance in Pseudomonas aeruginosa airway infections

Open access
Rada, Balázs, Leto, Thomas L.·2013·Trends in Microbiology

Abstract

Pseudomonas aeruginosa uses several virulence factors to establish chronic respiratory infections in bronchiectasis, chronic obstructive pulmonary disease and cystic fibrosis patients. One of its toxins, pyocyanin, is a redox-active pigment that is required for full virulence in animal models and has been detected in patients’ airway secretions. Pyocyanin promotes virulence by interfering with several cellular functions in host cells including electron transport, cellular respiration, energy metabolism, gene expression and innate immune mechanisms. This review summarizes recent advances in pyocyanin biology with special attention to current views on its role in human airway infections and on its interactions with the first line of our airway defense, the respiratory epithelium.

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Crossref · 10.1016/j.tim.2012.10.004

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Metadata

Authors
Rada, B., & Leto, T. L.
Venue
Trends in Microbiology
Publisher
Elsevier BV
Published
2013-02
Volume
21
Issue
2
Pages
73-81
ISSN
0966-842X (ISSN-L)
OpenAlex
W1991185106
Cited by
302
References
63
FWCI
0.99
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Pyocyanin effects on respiratory epithelium: relevance in Pseudomonas aeruginosa airway infections. https://app.cochat.ai/papers/10.1016/j.tim.2012.10.004
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Rada, B., & Leto, T. L. (2013). Pyocyanin effects on respiratory epithelium: relevance in Pseudomonas aeruginosa airway infections. Trends in Microbiology. https://doi.org/10.1016/j.tim.2012.10.004

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.