2018
DOI: 10.1111/1462-2920.14446
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Does quorum sensing interference affect the fitness of bacterial pathogens in the real world?

Abstract: Summary Many bacterial pathogens rely on quorum sensing to control virulence gene expression. Based on numerous experiments conducted under well‐defined conditions, quorum sensing interference is considered as a promising strategy to tackle infections and thus might have the potential to (partially) replace antibiotics. Despite the promising results in well‐defined (artificial) laboratory experiments, there still is a lack of knowledge with respect to the impact of quorum sensing interference on the fitness of… Show more

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Cited by 17 publications
(9 citation statements)
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“…Intercellular communication might be mediated by exosome vesicles or via the sharing of signaling molecules, as recently demonstrated for many unicellular organisms. Several examples of quorum sensing among bacterial pathogens have been described, resulting in differential responses during interactions with the environment and the host during invasion or differences in persistence capacity within a complex microbial community [73]. Trypanosoma brucei lacks G protein receptor signaling.…”
Section: Discussionmentioning
confidence: 99%
“…Intercellular communication might be mediated by exosome vesicles or via the sharing of signaling molecules, as recently demonstrated for many unicellular organisms. Several examples of quorum sensing among bacterial pathogens have been described, resulting in differential responses during interactions with the environment and the host during invasion or differences in persistence capacity within a complex microbial community [73]. Trypanosoma brucei lacks G protein receptor signaling.…”
Section: Discussionmentioning
confidence: 99%
“…In order to develop truly solid QS inhibitor therapeutic alternatives to combat this remarkable pathogen, a much better understanding of its virulence and actions during infections is necessary. Even though the laboratory results are promising, it is undeniable that there is the need of thorough understanding of the knowledge of the impact of QS inhibition on the pathogen fitness in more convincing circumstances, such as interactions with a host, the external environment, and complex microbial communities (Liu et al, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…In silico modeling seems to be one of the potential solutions limiting the spread of resistance to QQ therapies (Wei et al, 2016). The topic of resistance against QQ therapies was discussed in details in review papers by Defoirdt et al (2010), García-Contreras et al (2013a), Kalia et al (2014), and Liu et al (2018b).…”
Section: The Third Objection – the Lack Of Possibility To Develop Resmentioning
confidence: 99%