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Cellular Microbiology
Article . 2018 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Interaction of microbial pathogens with host exocytic pathways

Authors: Keith Ireton; Hoan Van Ngo; Manmeet Bhalla;

Interaction of microbial pathogens with host exocytic pathways

Abstract

Many microbial pathogens co-opt or perturb host membrane trafficking pathways. This review covers recent examples in which microbes interact with host exocytosis, the fusion of intracellular vesicles with the plasma membrane. The bacterial pathogens Listeria monocytogenes and Staphylococcus aureus subvert recycling endosomal pathways of exocytosis in order to induce their entry into human cells. By contrast, entry of the protozoan pathogen Trypanosoma cruzi or the virus adenovirus into host cells involves exploitation of lysosomal exocytosis. Toxins produced by Bacillus anthracis or Vibrio cholerae interfere with exocytosis pathways mediated by the GTPase Rab11 and the exocyst complex. By doing so, anthrax or cholera toxins impair recycling of cadherins to cell-cell junctions and disrupt the barrier properties of endothelial cells or intestinal epithelial cells, respectively. Uropathogenic Escherichia coli (UPEC) is expelled from bladder epithelial cells through two different exocytic routes that involve sensing of bacteria in vacuoles by host Toll-like receptor 4 (TLR4) or monitoring of the pH of lysosomes harbouring UPEC. The TLR4 pathway is mediated by multiple Rab GTPases and the exocyst, whereas the other pathway involves exocytosis of lysosomes. Expulsion of UPEC through these pathways is thought to benefit the host.

Related Organizations
Keywords

Trypanosoma, Bacteria, Cell Membrane, Cytoplasmic Vesicles, Host-Pathogen Interactions, Viruses, Animals, Humans, Exocytosis

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%
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