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A Method for Quantification of Epithelium Colonization Capacity by Pathogenic Bacteria

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, February 2018
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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Title
A Method for Quantification of Epithelium Colonization Capacity by Pathogenic Bacteria
Published in
Frontiers in Cellular and Infection Microbiology, February 2018
DOI 10.3389/fcimb.2018.00016
Pubmed ID
Authors

Rune M. Pedersen, Rasmus B. Grønnemose, Kristian Stærk, Cecilie A. Asferg, Thea B. Andersen, Hans J. Kolmos, Jakob Møller-Jensen, Thomas E. Andersen

Abstract

Most bacterial infections initiate at the mucosal epithelium lining the gastrointestinal, respiratory, and urogenital tracts. At these sites, bacterial pathogens must adhere and increase in numbers to effectively breach the outer barrier and invade the host. If the bacterium succeeds in reaching the bloodstream, effective dissemination again requires that bacteria in the blood, reestablish contact to distant endothelium sites and form secondary site foci. The infectious potential of bacteria is therefore closely linked to their ability to adhere to, colonize, and invade epithelial and endothelial surfaces. Measurement of bacterial adhesion to epithelial cells is therefore standard procedure in studies of bacterial virulence. Traditionally, such measurements have been conducted with microtiter plate cell cultures to which bacteria are added, followed by washing procedures and final quantification of retained bacteria by agar plating. This approach is fast and straightforward, but yields only a rough estimate of the adhesive properties of the bacteria upon contact, and little information on the ability of the bacterium to colonize these surfaces under relevant physiological conditions. Here, we present a method in which epithelia/endothelia are simulated by flow chamber-grown human cell layers, and infection is induced by seeding of pathogenic bacteria on these surfaces under conditions that simulate the physiological microenvironment. Quantification of bacterial adhesion and colonization of the cell layers is then performed byin situtime-lapse fluorescence microscopy and automatic detection of bacterial surface coverage. The method is demonstrated in three different infection models, simulatingStaphylococcus aureusendothelial infection andEscherichia coliintestinal- and uroepithelial infection. The approach yields valuable information on the fitness of the bacterium to successfully adhere to and colonize epithelial surfaces and can be used to evaluate the influence of specific virulence genes, growth conditions, and antimicrobial treatment on this process.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 23%
Student > Ph. D. Student 11 18%
Student > Doctoral Student 10 16%
Student > Bachelor 6 10%
Professor > Associate Professor 2 3%
Other 5 8%
Unknown 14 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 27%
Immunology and Microbiology 9 15%
Agricultural and Biological Sciences 5 8%
Medicine and Dentistry 4 6%
Veterinary Science and Veterinary Medicine 2 3%
Other 11 18%
Unknown 14 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 February 2018.
All research outputs
#6,973,689
of 23,018,998 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#1,418
of 6,505 outputs
Outputs of similar age
#142,646
of 440,103 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#37
of 124 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 6,505 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 440,103 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.