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In vivo imaging of the lung inflammatory response to Pseudomonas aeruginosa and its modulation by azithromycin

Overview of attention for article published in Journal of Translational Medicine, August 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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2 tweeters

Citations

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14 Dimensions

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48 Mendeley
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Title
In vivo imaging of the lung inflammatory response to Pseudomonas aeruginosa and its modulation by azithromycin
Published in
Journal of Translational Medicine, August 2015
DOI 10.1186/s12967-015-0615-9
Pubmed ID
Authors

Fabio Stellari, Gabriella Bergamini, Angela Sandri, Gaetano Donofrio, Claudio Sorio, Francesca Ruscitti, Gino Villetti, Barouk M Assael, Paola Melotti, Maria M Lleo

Abstract

Chronic inflammation of the airways is a central component in lung diseases and is frequently associated with bacterial infections. Monitoring the pro-inflammatory capability of bacterial virulence factors in vivo is challenging and usually requires invasive methods. Lung inflammation was induced using the culture supernatants from two Pseudomonas aeruginosa clinical strains, VR1 and VR2, isolated from patients affected by cystic fibrosis and showing different phenotypes in terms of motility, colony characteristics and biofilm production as well as pyoverdine and pyocyanine release. More interesting, the strains differ also for the presence in supernatants of metalloproteases, a family of virulence factors with known pro-inflammatory activity. We have evaluated the benefit of using a mouse model, transiently expressing the luciferase reporter gene under the control of an heterologous IL-8 bovine promoter, to detect and monitoring lung inflammation. In vivo imaging indicated that VR1 strain, releasing in its culture supernatant metalloproteases and other virulence factors, induced lung inflammation while the VR2 strain presented with a severely reduced pro-inflammatory activity. The bioluminescence signal was detectable from 4 to 48 h after supernatant instillation. The animal model was also used to test the anti-inflammatory activity of azithromycin (AZM), an antibiotic with demonstrated inhibitory effect on the synthesis of bacterial exoproducts. The inflammation signal in mice was in fact significantly reduced when bacteria grew in the presence of a sub-lethal dose of AZM causing inhibition of the synthesis of metalloproteases and other bacterial elements. The in vivo data were further supported by quantification of immune cells and cytokine expression in mouse broncho-alveolar lavage samples. This experimental animal model is based on the transient transduction of the bovine IL-8 promoter, a gene representing a major player during inflammation, essential for leukocytes recruitment to the inflamed tissue. It appears to be an appropriate molecular read-out for monitoring the activation of inflammatory pathways caused by bacterial virulence factors. The data presented indicate that the model is suitable to functionally monitor in real time the lung inflammatory response facilitating the identification of bacterial factors with pro-inflammatory activity and the evaluation of the anti-inflammatory activity of old and new molecules for therapeutic use.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 21%
Student > Ph. D. Student 9 19%
Student > Master 6 13%
Student > Bachelor 5 10%
Other 3 6%
Other 8 17%
Unknown 7 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 23%
Medicine and Dentistry 11 23%
Pharmacology, Toxicology and Pharmaceutical Science 7 15%
Immunology and Microbiology 4 8%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 4 8%
Unknown 9 19%

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 05 August 2015.
All research outputs
#2,260,296
of 5,446,629 outputs
Outputs from Journal of Translational Medicine
#456
of 1,532 outputs
Outputs of similar age
#74,274
of 190,002 outputs
Outputs of similar age from Journal of Translational Medicine
#45
of 109 outputs
Altmetric has tracked 5,446,629 research outputs across all sources so far. This one has received more attention than most of these and is in the 56th percentile.
So far Altmetric has tracked 1,532 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 65% 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 190,002 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 58% of its contemporaries.
We're also able to compare this research output to 109 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 53% of its contemporaries.