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Identification and Characterization of Novel Compounds Blocking Shiga Toxin Expression in Escherichia coli O157:H7

Overview of attention for article published in Frontiers in Microbiology, November 2016
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Title
Identification and Characterization of Novel Compounds Blocking Shiga Toxin Expression in Escherichia coli O157:H7
Published in
Frontiers in Microbiology, November 2016
DOI 10.3389/fmicb.2016.01930
Pubmed ID
Authors

Alejandro Huerta-Uribe, Zoe R. Marjenberg, Nao Yamaguchi, Stephen Fitzgerald, James P. R. Connolly, Nuria Carpena, Hanna Uvell, Gillian Douce, Michael Elofsson, Olwyn Byron, Rudi Marquez, David L. Gally, Andrew J. Roe

Abstract

Infections caused by Shiga toxin (Stx)-producing E. coli strains constitute a health problem, as they are problematic to treat. Stx production is a key virulence factor associated with the pathogenicity of enterohaemorrhagic E. coli (EHEC) and can result in the development of haemolytic uremic syndrome in infected patients. The genes encoding Stx are located on temperate lysogenic phages integrated into the bacterial chromosome and expression of the toxin is generally coupled to phage induction through the SOS response. We aimed to find new compounds capable of blocking expression of Stx type 2 (Stx2) as this subtype of Stx is more strongly associated with human disease. High-throughput screening of a small-molecule library identified a lead compound that reduced Stx2 expression in a dose-dependent manner. We show that the optimized compound interferes with the SOS response by directly affecting the activity and oligomerization of RecA, thus limiting phage activation and Stx2 expression. Our work suggests that RecA is highly susceptible to inhibition and that targeting this protein is a viable approach to limiting production of Stx2 by EHEC. This type of approach has the potential to limit production and transfer of other phage induced and transduced determinants.

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The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Student > Master 6 16%
Researcher 5 13%
Student > Bachelor 3 8%
Professor > Associate Professor 3 8%
Other 7 18%
Unknown 5 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 26%
Biochemistry, Genetics and Molecular Biology 9 24%
Immunology and Microbiology 8 21%
Medicine and Dentistry 2 5%
Chemical Engineering 1 3%
Other 2 5%
Unknown 6 16%