Unknown

Dataset Information

0

Inhibitors of pathogen intercellular signals as selective anti-infective compounds.


ABSTRACT: Long-term antibiotic use generates pan-resistant super pathogens. Anti-infective compounds that selectively disrupt virulence pathways without affecting cell viability may be used to efficiently combat infections caused by these pathogens. A candidate target pathway is quorum sensing (QS), which many bacterial pathogens use to coordinately regulate virulence determinants. The Pseudomonas aeruginosa MvfR-dependent QS regulatory pathway controls the expression of key virulence genes; and is activated via the extracellular signals 4-hydroxy-2-heptylquinoline (HHQ) and 3,4-dihydroxy-2-heptylquinoline (PQS), whose syntheses depend on anthranilic acid (AA), the primary precursor of 4-hydroxy-2-alkylquinolines (HAQs). Here, we identified halogenated AA analogs that specifically inhibited HAQ biosynthesis and disrupted MvfR-dependent gene expression. These compounds restricted P. aeruginosa systemic dissemination and mortality in mice, without perturbing bacterial viability, and inhibited osmoprotection, a widespread bacterial function. These compounds provide a starting point for the design and development of selective anti-infectives that restrict human P. aeruginosa pathogenesis, and possibly other clinically significant pathogens.

SUBMITTER: Lesic B 

PROVIDER: S-EPMC2323289 | biostudies-literature | 2007 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications


Long-term antibiotic use generates pan-resistant super pathogens. Anti-infective compounds that selectively disrupt virulence pathways without affecting cell viability may be used to efficiently combat infections caused by these pathogens. A candidate target pathway is quorum sensing (QS), which many bacterial pathogens use to coordinately regulate virulence determinants. The Pseudomonas aeruginosa MvfR-dependent QS regulatory pathway controls the expression of key virulence genes; and is activa  ...[more]

Similar Datasets

| S-EPMC4122495 | biostudies-literature
| S-EPMC8059594 | biostudies-literature
| S-EPMC6151984 | biostudies-literature
| S-EPMC4749143 | biostudies-literature
| S-EPMC6206229 | biostudies-literature
| S-EPMC6149824 | biostudies-literature
| S-EPMC7895358 | biostudies-literature
| S-EPMC7545799 | biostudies-literature
| S-EPMC7956706 | biostudies-literature
| S-EPMC5330499 | biostudies-literature