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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Enzyme and Microbial...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Enzyme and Microbial Technology
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Developing next generation antimicrobials by intercepting AI-2 mediated quorum sensing

Authors: Varnika, Roy; Bryn L, Adams; William E, Bentley;

Developing next generation antimicrobials by intercepting AI-2 mediated quorum sensing

Abstract

Bacteria have been evolving antibiotic resistance since their discovery in the early twentieth century. Most new antibiotics are derivatives of older generations and there are now bacteria that are virtually resistant to almost all antibiotics. This poses a global threat to human health and has been classified as a clinical "super-challenge", which has necessitated research into new antimicrobials that inhibit bacterial virulence while minimizing selective pressures that lead to the emergence of resistant strains. Quorum sensing (QS), the process of population dependent bacterial cell-cell signaling, can accelerate bacterial virulence and is an increasingly interesting target for developing next generation antimicrobials. Most QS inhibitors target species-specific signals, such as acylhomoserine lactones (AHLs) and oligopeptides. Methodologies for intercepting the cross-species signal, autoinducer-2 (AI-2), have only recently emerged. We review these strategies to prevent the relay of the AI-2 signal amongst pathogens, including Escherichia coli, Salmonella enterica serovar Typhimurium, Vibrio cholerae and Pseudomonas aeruginosa. Inhibition mechanisms are categorized based on the target (i.e., enzymes for signal generation, the signal molecule itself, or the various components of the signal transduction process). The universal nature of the AI-2 signal imparts on its inhibitors the potential for broad spectrum use.

Keywords

Lactones, Anti-Infective Agents, Bacteria, Drug Discovery, Homoserine, Humans, Quorum Sensing, Bacterial Physiological Phenomena

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
112
Top 10%
Top 10%
Top 1%
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