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Real-time monitoring of Pseudomonas aeruginosa biofilm formation on endotracheal tubes in vitro

Overview of attention for article published in BMC Microbiology, August 2018
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Title
Real-time monitoring of Pseudomonas aeruginosa biofilm formation on endotracheal tubes in vitro
Published in
BMC Microbiology, August 2018
DOI 10.1186/s12866-018-1224-6
Pubmed ID
Authors

Eva Pericolini, Bruna Colombari, Gianmarco Ferretti, Ramona Iseppi, Andrea Ardizzoni, Massimo Girardis, Arianna Sala, Samuele Peppoloni, Elisabetta Blasi

Abstract

Pseudomonas aeruginosa is an opportunistic bacterial pathogen responsible for both acute and chronic infections in humans. In particular, its ability to form biofilm, on biotic and abiotic surfaces, makes it particularly resistant to host's immune defenses and current antibiotic therapies as well. Innovative antimicrobial materials, like hydrogel, silver salts or nanoparticles have been used to cover new generation catheters with promising results. Nevertheless, biofilm remains a major health problem. For instance, biofilm produced onto endotracheal tubes (ETT) of ventilated patients plays a relevant role in the onset of ventilation-associated pneumonia. Most of our knowledge on Pseudomonas aeruginosa biofilm derives from in vitro studies carried out on abiotic surfaces, such as polystyrene microplates or plastic materials used for ETT manufacturing. However, these approaches often provide underestimated results since other parameters, in addition to bacterial features (i.e. shape and material composition of ETT) might strongly influence biofilm formation. We used an already established biofilm development assay on medically-relevant foreign devices (CVC catheters) by a stably transformed bioluminescent (BLI)-Pseudomonas aeruginosa strain, in order to follow up biofilm formation on ETT by bioluminescence detection. Our results demonstrated that it is possible: i) to monitor BLI-Pseudomonas aeruginosa biofilm development on ETT pieces in real-time, ii) to evaluate the three-dimensional structure of biofilm directly on ETT, iii) to assess metabolic behavior and the production of microbial virulence traits of bacteria embedded on ETT-biofilm. Overall, we were able to standardize a rapid and easy-to-perform in vitro model for real-time monitoring Pseudomonas aeruginosa biofilm formation directly onto ETT pieces, taking into account not only microbial factors, but also ETT shape and material. Our study provides a rapid method for future screening and validation of novel antimicrobial drugs as well as for the evaluation of novel biomaterials employed in the production of new classes of ETT.

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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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 135 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 25 19%
Student > Ph. D. Student 20 15%
Student > Master 17 13%
Researcher 15 11%
Other 5 4%
Other 12 9%
Unknown 41 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 23%
Immunology and Microbiology 15 11%
Medicine and Dentistry 13 10%
Agricultural and Biological Sciences 10 7%
Engineering 6 4%
Other 17 13%
Unknown 43 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 March 2019.
All research outputs
#14,422,940
of 23,100,534 outputs
Outputs from BMC Microbiology
#1,458
of 3,216 outputs
Outputs of similar age
#186,318
of 331,095 outputs
Outputs of similar age from BMC Microbiology
#17
of 55 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,216 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 50% 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 331,095 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 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 61% of its contemporaries.