The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Adaptation of Pseudomonas aeruginosa in Cystic Fibrosis Airways Influences Virulence of Staphylococcus aureus In Vitro and Murine Models of Co-Infection
Open accessAbstract
Cystic fibrosis (CF) airways disease represents an example of polymicrobial infection whereby different bacterial species can interact and influence each other. In CF patients Staphylococcus aureus is often the initial pathogen colonizing the lungs during childhood, while Pseudomonas aeruginosa is the predominant pathogen isolated in adolescents and adults. During chronic infection, P. aeruginosa undergoes adaptation to cope with antimicrobial therapy, host response and co-infecting pathogens. However, S. aureus and P. aeruginosa often co-exist in the same niche influencing the CF pathogenesis. The goal of this study was to investigate the reciprocal interaction of P. aeruginosa and S. aureus and understand the influence of P. aeruginosa adaptation to the CF lung in order to gain important insight on the interplay occurring between the two main pathogens of CF airways, which is still largely unknown. P. aeruginosa reference strains and eight lineages of clinical strains, including early and late clonal isolates from different patients with CF, were tested for growth inhibition of S. aureus. Next, P. aeruginosa/S. aureus competition was investigated in planktonic co-culture, biofilm, and mouse pneumonia model. P. aeruginosa reference and early strains, isolated at the onset of chronic infection, outcompeted S. aureus in vitro and in vivo models of co-infection. On the contrary, our results indicated a reduced capacity to outcompete S. aureus of P. aeruginosa patho-adaptive strains, isolated after several years of chronic infection and carrying several phenotypic changes temporally associated with CF lung adaptation. Our findings provide relevant information with respect to interspecies interaction and disease progression in CF.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Pastar, I., Nusbaum, A. G., Gil, J., Patel, S. B., Chen, J., Valdes, J., Stojadinovic, O., Plano, L. R., Tomic-Canic, M., & Davis, S. C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056846 · Cited by 391
An in vivo polymicrobial biofilm wound infection model to study interspecies interactions
Dalton, T., Dowd, S. E., Wolcott, R. D., Sun, Y., Watters, C., Griswold, J. A., & Rumbaugh, K. P. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027317 · Cited by 372
Staphylococcus aureus Serves as an Iron Source for Pseudomonas aeruginosa during In Vivo Coculture
Mashburn, L. M., Jett, A. M., Akins, D. R., & Whiteley, M. (2005) · Journal of Bacteriology · doi:10.1128/jb.187.2.554-566.2005 · Cited by 312
Biswas, L., Biswas, R., Schlag, M., Bertram, R., & Götz, F. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.01211-09 · Cited by 182
Cited by
In vivo and In vitro Interactions between Pseudomonas aeruginosa and Staphylococcus spp.
Hotterbeekx, A., Kumar-Singh, S., Goossens, H., & Malhotra-Kumar, S. (2017) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2017.00106 · Cited by 265
Wakeman, C. A., Moore, J. L., Noto, M. J., Zhang, Y., Singleton, M. D., Prentice, B. M., Gilston, B. A., Doster, R. S., Gaddy, J. A., Chazin, W. J., et al. (2016) · Nature Communications · doi:10.1038/ncomms11951 · Cited by 137
Metadata
- Authors
- Baldan, R., Cigana, C., Testa, F., Bianconi, I., De Simone, M., Pellin, D., Di Serio, C., Bragonzi, A., & Cirillo, D. M.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-03-06
- Volume
- 9
- Issue
- 3
- Pages
- e89614
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1994917518
- Cited by
- 163
- References
- 4
- FWCI
- 5.35
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Adaptation of Pseudomonas aeruginosa in Cystic Fibrosis Airways Influences Virulence of Staphylococcus aureus In Vitro and Murine Models of Co-Infection. https://app.cochat.ai/papers/10.1371/journal.pone.0089614
- The paper
- Baldan, R., Cigana, C., Testa, F., Bianconi, I., De Simone, M., Pellin, D., Di Serio, C., Bragonzi, A., & Cirillo, D. M. (2014). Adaptation of Pseudomonas aeruginosa in Cystic Fibrosis Airways Influences Virulence of Staphylococcus aureus In Vitro and Murine Models of Co-Infection. PLoS ONE. https://doi.org/10.1371/journal.pone.0089614
Data sources
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.