The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Exploiting Quorum Sensing To Confuse Bacterial Pathogens
Open accessAbstract
SUMMARY: Cell-cell communication, or quorum sensing, is a widespread phenomenon in bacteria that is used to coordinate gene expression among local populations. Its use by bacterial pathogens to regulate genes that promote invasion, defense, and spread has been particularly well documented. With the ongoing emergence of antibiotic-resistant pathogens, there is a current need for development of alternative therapeutic strategies. An antivirulence approach by which quorum sensing is impeded has caught on as a viable means to manipulate bacterial processes, especially pathogenic traits that are harmful to human and animal health and agricultural productivity. The identification and development of chemical compounds and enzymes that facilitate quorum-sensing inhibition (QSI) by targeting signaling molecules, signal biogenesis, or signal detection are reviewed here. Overall, the evidence suggests that QSI therapy may be efficacious against some, but not necessarily all, bacterial pathogens, and several failures and ongoing concerns that may steer future studies in productive directions are discussed. Nevertheless, various QSI successes have rightfully perpetuated excitement surrounding new potential therapies, and this review highlights promising QSI leads in disrupting pathogenesis in both plants and animals.
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Cites
Natural products as sources of new drugs over the last 25 years
Newman, D. J., & Cragg, G. M. (2007) · Journal of Natural Products · doi:10.1021/np068054v · Cited by 5,517
The biology and future prospects of antivirulence therapies
Cegelski, L., Marshall, G. R., Eldridge, G. R., & Hultgren, S. J. (2008) · Nature Reviews Microbiology · doi:10.1038/nrmicro1818 · Cited by 788
Brackman, G., Defoirdt, T., Miyamoto, C., Bossier, P., Van Calenbergh, S., Nelis, H., & Coenye, T. (2008) · BMC Microbiology · doi:10.1186/1471-2180-8-149 · Cited by 317
Khan, M. S. A., Zahin, M., Hasan, S., Husain, F. M., & Ahmad, I. (2009) · Letters in Applied Microbiology · doi:10.1111/j.1472-765x.2009.02666.x · Cited by 279
Analysis of quorum sensing-deficient clinical isolates of Pseudomonas aeruginosa
Schaber, J. A., Carty, N. L., McDonald, N. A., Graham, E. D., Cheluvappa, R., Griswold, J. A., & Hamood, A. N. (2004) · Journal of Medical Microbiology · doi:10.1099/jmm.0.45617-0 · Cited by 224
QseC Mediates Salmonella enterica Serovar Typhimurium Virulence In Vitro and In Vivo
Moreira, C. G., Weinshenker, D., & Sperandio, V. (2010) · Infection and Immunity · doi:10.1128/iai.01038-09 · Cited by 195 · cited 1×
“The same QseC/B two-component system is also used for the bacterial detection of epinephrine and norepinephrine produced by the host, and thus it is hypothesized that the structure of AI-3 may resemble that of the two hormones (16, 17).”
BackgroundA central metabolic circuit controlled by QseC in pathogenic Escherichia coli
Hadjifrangiskou, M., Kostakioti, M., Chen, S. L., Henderson, J. P., Greene, S. E., & Hultgren, S. J. (2011) · Molecular Microbiology · doi:10.1111/j.1365-2958.2011.07660.x · Cited by 118
Cited by
Quorum sensing signal-response systems in Gram-negative bacteria
Papenfort, K., & Bassler, B. L. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.89 · Cited by 2,256
Pseudomonas aeruginosa Lifestyle: A Paradigm for Adaptation, Survival, and Persistence
Moradali, M. F., Ghods, S., & Rehm, B. H. A. (2017) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2017.00039 · Cited by 1,537
The resilience of the intestinal microbiota influences health and disease
Sommer, F., Anderson, J. M., Bharti, R., Raes, J., & Rosenstiel, P. (2017) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2017.58 · Cited by 1,058
Alkaloids: An overview of their antibacterial, antibiotic-enhancing and antivirulence activities
Cushnie, T. P. T., Cushnie, B., & Lamb, A. J. (2014) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2014.06.001 · Cited by 894
Ecology and Genomic Insights into Plant-Pathogenic and Plant-Nonpathogenic Endophytes
Brader, G., Compant, S., Vescio, K., Mitter, B., Trognitz, F., Ma, L.-J., & Sessitsch, A. (2017) · Annual Review of Phytopathology · doi:10.1146/annurev-phyto-080516-035641 · Cited by 482
Metadata
- Authors
- LaSarre, B., & Federle, M. J.
- Venue
- Microbiology and Molecular Biology Reviews
- Publisher
- American Society for Microbiology
- Published
- 2013-03
- Volume
- 77
- Issue
- 1
- Pages
- 73-111
- ISSN
- 1092-2172 (ISSN-L)
- 1098-5557
- OpenAlex
- W2108808146
- Cited by
- 820
- References
- 7
- FWCI
- 3.93
- Type
- journal article
- Language
- en
- Open access
- green
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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).
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