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Biofilm-forming ability and infection potential of Pseudomonas aeruginosa strains isolated from animals and humans

Overview of attention for article published in Pathogens and Disease, April 2018
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Title
Biofilm-forming ability and infection potential of Pseudomonas aeruginosa strains isolated from animals and humans
Published in
Pathogens and Disease, April 2018
DOI 10.1093/femspd/fty041
Pubmed ID
Authors

Dusan Milivojevic, Neven Šumonja, Strahinja Medić, Aleksandar Pavic, Ivana Moric, Branka Vasiljevic, Lidija Senerovic, Jasmina Nikodinovic-Runic

Abstract

Pseudomonas aeruginosa, has been amongst top 10 'superbugs' worldwide and is causing infections with poor outcomes in both humans and animals. From 202 P. aeruginosa isolates (n = 121 animal and n = 81 human) 40 were selected on the basis of biofilm-forming ability and were comparatively characterized in terms of virulence determinants to the type strain P. aeruginosa PAO1. Biofilm formation, pyocyanin and hemolysins production and bacterial motility patterns were compared to the ability to kill human cell line A549 in vitro. On average, there was no significant difference between levels of animal and human cytotoxicity, while human isolates produced higher amounts of pyocyanin, hemolysins and showed increased swimming ability. Non-parametric statistical analysis identified the highest positive correlation between hemolysis and the swarming ability. For the first time an ensemble machine learning approach used on the in vitro virulence data determined the highest relative predictive importance of the submerged biofilm formation for the cytotoxicity, as an indicator of the infection ability. The findings from the in vitro study were validated in vivo using zebrafish (Danio rerio) embryos. This study highlighted no major differences between P. aeruginosa species isolated from animal and human infections and the importance of pyocyanin-production in cytotoxicity and infection ability.

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The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Researcher 8 14%
Student > Master 7 12%
Student > Bachelor 3 5%
Student > Doctoral Student 3 5%
Other 7 12%
Unknown 18 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 18%
Biochemistry, Genetics and Molecular Biology 8 14%
Immunology and Microbiology 8 14%
Nursing and Health Professions 3 5%
Veterinary Science and Veterinary Medicine 2 4%
Other 8 14%
Unknown 18 32%