The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Interference in Bacterial Quorum Sensing: A Biopharmaceutical Perspective
Open accessAbstract
Numerous bacteria utilize molecular communication systems referred to as quorum sensing (QS) to synchronize the expression of certain genes regulating, among other aspects, the expression of virulence factors and the synthesis of biofilm. To achieve this process, bacteria use signaling molecules, known as autoinducers (AIs), as chemical messengers to share information. Naturally occurring strategies that interfere with bacterial signaling have been extensively studied in recent years, examining their potential to control bacteria. To interfere with QS, bacteria use quorum sensing inhibitors (QSIs) to block the action of AIs and quorum quenching (QQ) enzymes to degrade signaling molecules. Recent studies have shown that these strategies are promising routes to decrease bacterial pathogenicity and decrease biofilms, potentially enhancing bacterial susceptibility to antimicrobial agents including antibiotics and bacteriophages. The efficacy of QSIs and QQ enzymes has been demonstrated in various animal models and are now considered in the development of new medical devices against bacterial infections, including dressings, and catheters for enlarging the therapeutic arsenal against bacteria.
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Cites
5-Fluorouracil: mechanisms of action and clinical strategies
Longley, D. B., Harkin, D. P., & Johnston, P. G. (2003) · Nature Reviews Cancer · doi:10.1038/nrc1074 · Cited by 5,332
The Involvement of Cell-to-Cell Signals in the Development of a Bacterial Biofilm
Davies, D. G., Parsek, M. R., Pearson, J. P., Iglewski, B. H., Costerton, J. W., & Greenberg, E. P. (1998) · Science · doi:10.1126/science.280.5361.295 · Cited by 3,396
Can Animal Models of Disease Reliably Inform Human Studies?
van der Worp, H. B., Howells, D. W., Sena, E. S., Porritt, M. J., Rewell, S., O'Collins, V., & Macleod, M. R. (2010) · PLoS Medicine · doi:10.1371/journal.pmed.1000245 · Cited by 1,354
Cooperation and competition in pathogenic bacteria
Griffin, A. S., West, S. A., & Buckling, A. (2004) · Nature · doi:10.1038/nature02744 · Cited by 1,104
Saiman, L., Marshall, B. C., Mayer-Hamblett, N., Burns, J. L., Quittner, A. L., Cibene, D. A., Coquillette, S., Fieberg, A. Y., Accurso, F. J., Campbell III, P. W., et al. (2003) · JAMA · doi:10.1001/jama.290.13.1749 · Cited by 958
Contribution of Quorum Sensing to the Virulence of Pseudomonas aeruginosa in Burn Wound Infections
Rumbaugh, K. P., Griswold, J. A., Iglewski, B. H., & Hamood, A. N. (1999) · Infection and Immunity · doi:10.1128/iai.67.11.5854-5862.1999 · Cited by 408
Pukatzki, S., Kessin, R. H., & Mekalanos, J. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.052704399 · Cited by 289
Matz, C., Bergfeld, T., Rice, S. A., & Kjelleberg, S. (2004) · Environmental Microbiology · doi:10.1111/j.1462-2920.2004.00556.x · Cited by 200
Cited by
Biofilm Management in Wound Care
Sen, C. K., Roy, S., Mathew-Steiner, S. S., & Gordillo, G. M. (2021) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0000000000008142 · Cited by 140
Biofilm therapy for chronic wounds
Liu, Y., Long, S., Wang, H., & Wang, Y. (2024) · International Wound Journal · doi:10.1111/iwj.14667 · Cited by 70
Ivshina, I., Bazhutin, G., & Tyumina, E. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.967127 · Cited by 62
Metadata
- Authors
- Rémy, B., Mion, S., Plener, L., Elias, M., Chabrière, E., & Daudé, D.
- Venue
- Frontiers in Pharmacology
- Publisher
- Frontiers Media SA
- Published
- 2018-03-07
- Volume
- 9
- Pages
- 203-203
- ISSN
- 1663-9812 (ISSN-L)
- OpenAlex
- W2793156110
- Cited by
- 332
- References
- 8
- FWCI
- 11.54
- Type
- journal article
- Language
- en
- Open access
- gold
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- Rémy, B., Mion, S., Plener, L., Elias, M., Chabrière, E., & Daudé, D. (2018). Interference in Bacterial Quorum Sensing: A Biopharmaceutical Perspective. Frontiers in Pharmacology. https://doi.org/10.3389/fphar.2018.00203
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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.
