↓ Skip to main content

Underlying Mechanism of Antimicrobial Activity of Chitosan Microparticles and Implications for the Treatment of Infectious Diseases

Overview of attention for article published in PLOS ONE, March 2014
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
reddit
1 Redditor

Citations

dimensions_citation
148 Dimensions

Readers on

mendeley
182 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Underlying Mechanism of Antimicrobial Activity of Chitosan Microparticles and Implications for the Treatment of Infectious Diseases
Published in
PLOS ONE, March 2014
DOI 10.1371/journal.pone.0092723
Pubmed ID
Authors

Soo Jin Jeon, Manhwan Oh, Won-Sik Yeo, Klibs N. Galvão, Kwang Cheol Jeong

Abstract

The emergence of antibiotic resistant microorganisms is a great public health concern and has triggered an urgent need to develop alternative antibiotics. Chitosan microparticles (CM), derived from chitosan, have been shown to reduce E. coli O157:H7 shedding in a cattle model, indicating potential use as an alternative antimicrobial agent. However, the underlying mechanism of CM on reducing the shedding of this pathogen remains unclear. To understand the mode of action, we studied molecular mechanisms of antimicrobial activity of CM using in vitro and in vivo methods. We report that CM are an effective bactericidal agent with capability to disrupt cell membranes. Binding assays and genetic studies with an ompA mutant strain demonstrated that outer membrane protein OmpA of E. coli O157:H7 is critical for CM binding, and this binding activity is coupled with a bactericidal effect of CM. This activity was also demonstrated in an animal model using cows with uterine diseases. CM treatment effectively reduced shedding of intrauterine pathogenic E. coli (IUPEC) in the uterus compared to antibiotic treatment. Since Shiga-toxins encoded in the genome of bacteriophage is often overexpressed during antibiotic treatment, antibiotic therapy is generally not recommended because of high risk of hemolytic uremic syndrome. However, CM treatment did not induce bacteriophage or Shiga-toxins in E. coli O157:H7; suggesting that CM can be a potential candidate to treat infections caused by this pathogen. This work establishes an underlying mechanism whereby CM exert antimicrobial activity in vitro and in vivo, providing significant insight for the treatment of diseases caused by a broad spectrum of pathogens including antibiotic resistant microorganisms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
Brazil 1 <1%
Unknown 180 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 16%
Student > Master 28 15%
Researcher 26 14%
Student > Bachelor 21 12%
Student > Doctoral Student 11 6%
Other 26 14%
Unknown 40 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 20%
Chemistry 15 8%
Biochemistry, Genetics and Molecular Biology 13 7%
Medicine and Dentistry 11 6%
Immunology and Microbiology 10 5%
Other 49 27%
Unknown 48 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 19 April 2014.
All research outputs
#2,365,928
of 22,749,166 outputs
Outputs from PLOS ONE
#30,162
of 194,169 outputs
Outputs of similar age
#25,264
of 223,393 outputs
Outputs of similar age from PLOS ONE
#870
of 5,398 outputs
Altmetric has tracked 22,749,166 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,169 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done well, scoring higher than 84% 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 223,393 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 5,398 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.