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Interactions among Quorum Sensing Inhibitors

Many pathogenic bacteria use quorum sensing (QS) systems to regulate the expression of virulence genes in a density-dependent manner. In one widespread QS paradigm the enzyme LuxI generates a small diffusible molecule of the acyl-homoserine lactone (AHL) family; high cell densities lead to high AHL...

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Autores principales: Anand, Rajat, Rai, Navneet, Thattai, Mukund
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3633908/
https://www.ncbi.nlm.nih.gov/pubmed/23626795
http://dx.doi.org/10.1371/journal.pone.0062254
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author Anand, Rajat
Rai, Navneet
Thattai, Mukund
author_facet Anand, Rajat
Rai, Navneet
Thattai, Mukund
author_sort Anand, Rajat
collection PubMed
description Many pathogenic bacteria use quorum sensing (QS) systems to regulate the expression of virulence genes in a density-dependent manner. In one widespread QS paradigm the enzyme LuxI generates a small diffusible molecule of the acyl-homoserine lactone (AHL) family; high cell densities lead to high AHL levels; AHL binds the transcription factor LuxR, triggering it to activate gene expression at a virulence promoter. The emergence of antibiotic resistance has generated interest in alternative anti-microbial therapies that target QS. Inhibitors of LuxI and LuxR have been developed and tested in vivo, and can act at various levels: inhibiting the synthesis of AHL by LuxI, competitively or non-competitively inhibiting LuxR, or increasing the turnover of LuxI, LuxR, or AHL. Here use an experimentally validated computational model of LuxI/LuxR QS to study the effects of using inhibitors individually and in combination. The model includes the effect of transcriptional feedback, which generates highly non-linear responses as inhibitor levels are increased. For the ubiquitous LuxI-feedback virulence systems, inhibitors of LuxI are more effective than those of LuxR when used individually. Paradoxically, we find that LuxR competitive inhibitors, either individually or in combination with other inhibitors, can sometimes increase virulence by weakly activating LuxR. For both LuxI-feedback and LuxR-feedback systems, a combination of LuxR non-competitive inhibitors and LuxI inhibitors act multiplicatively over a broad parameter range. In our analysis, this final strategy emerges as the only robust therapeutic option.
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spelling pubmed-36339082013-04-26 Interactions among Quorum Sensing Inhibitors Anand, Rajat Rai, Navneet Thattai, Mukund PLoS One Research Article Many pathogenic bacteria use quorum sensing (QS) systems to regulate the expression of virulence genes in a density-dependent manner. In one widespread QS paradigm the enzyme LuxI generates a small diffusible molecule of the acyl-homoserine lactone (AHL) family; high cell densities lead to high AHL levels; AHL binds the transcription factor LuxR, triggering it to activate gene expression at a virulence promoter. The emergence of antibiotic resistance has generated interest in alternative anti-microbial therapies that target QS. Inhibitors of LuxI and LuxR have been developed and tested in vivo, and can act at various levels: inhibiting the synthesis of AHL by LuxI, competitively or non-competitively inhibiting LuxR, or increasing the turnover of LuxI, LuxR, or AHL. Here use an experimentally validated computational model of LuxI/LuxR QS to study the effects of using inhibitors individually and in combination. The model includes the effect of transcriptional feedback, which generates highly non-linear responses as inhibitor levels are increased. For the ubiquitous LuxI-feedback virulence systems, inhibitors of LuxI are more effective than those of LuxR when used individually. Paradoxically, we find that LuxR competitive inhibitors, either individually or in combination with other inhibitors, can sometimes increase virulence by weakly activating LuxR. For both LuxI-feedback and LuxR-feedback systems, a combination of LuxR non-competitive inhibitors and LuxI inhibitors act multiplicatively over a broad parameter range. In our analysis, this final strategy emerges as the only robust therapeutic option. Public Library of Science 2013-04-23 /pmc/articles/PMC3633908/ /pubmed/23626795 http://dx.doi.org/10.1371/journal.pone.0062254 Text en © 2013 Anand et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Anand, Rajat
Rai, Navneet
Thattai, Mukund
Interactions among Quorum Sensing Inhibitors
title Interactions among Quorum Sensing Inhibitors
title_full Interactions among Quorum Sensing Inhibitors
title_fullStr Interactions among Quorum Sensing Inhibitors
title_full_unstemmed Interactions among Quorum Sensing Inhibitors
title_short Interactions among Quorum Sensing Inhibitors
title_sort interactions among quorum sensing inhibitors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3633908/
https://www.ncbi.nlm.nih.gov/pubmed/23626795
http://dx.doi.org/10.1371/journal.pone.0062254
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