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A Family of Indoles Regulate Virulence and Shiga Toxin Production in Pathogenic E. coli

Overview of attention for article published in PLOS ONE, January 2013
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Title
A Family of Indoles Regulate Virulence and Shiga Toxin Production in Pathogenic E. coli
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0054456
Pubmed ID
Authors

Bettina Bommarius, Akwasi Anyanful, Yevgeniy Izrayelit, Shantanu Bhatt, Emily Cartwright, Wei Wang, Alyson I. Swimm, Guy M. Benian, Frank C. Schroeder, Daniel Kalman

Abstract

Enteropathogenic Escherichia coli (EPEC), enterohemorrhagic E. coli (EHEC) and enteroaggregative E. coli (EAEC) are intestinal pathogens that cause food and water-borne disease in humans. Using biochemical methods and NMR-based comparative metabolomics in conjunction with the nematode Caenorhabditis elegans, we developed a bioassay to identify secreted small molecules produced by these pathogens. We identified indole, indole-3-carboxaldehyde (ICA), and indole-3-acetic acid (IAA), as factors that only in combination are sufficient to kill C. elegans. Importantly, although lethal to C. elegans, these molecules downregulate several bacterial processes important for pathogenesis in mammals. These include motility, biofilm formation and production of Shiga toxins. Some pathogenic E. coli strains are known to contain a Locus of Enterocyte Effacement (LEE), which encodes virulence factors that cause "attaching and effacing" (A/E) lesions in mammals, including formation of actin pedestals. We found that these indole derivatives also downregulate production of LEE virulence factors and inhibit pedestal formation on mammalian cells. Finally, upon oral administration, ICA inhibited virulence and promoted survival in a lethal mouse infection model. In summary, the C. elegans model in conjunction with metabolomics has facilitated identification of a family of indole derivatives that broadly regulate physiology in E. coli, and virulence in pathogenic strains. These molecules may enable development of new therapeutics that interfere with bacterial small-molecule signaling.

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The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
France 1 <1%
Switzerland 1 <1%
Unknown 116 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 25%
Student > Master 16 13%
Researcher 14 12%
Student > Bachelor 12 10%
Professor 6 5%
Other 19 16%
Unknown 22 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 32%
Biochemistry, Genetics and Molecular Biology 16 13%
Chemistry 10 8%
Immunology and Microbiology 9 8%
Medicine and Dentistry 8 7%
Other 13 11%
Unknown 25 21%