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Modelling the asthma phenotype: impact of cigarette smoke exposure

Overview of attention for article published in Respiratory Research, May 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)

Mentioned by

twitter
6 tweeters

Citations

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5 Dimensions

Readers on

mendeley
31 Mendeley
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Title
Modelling the asthma phenotype: impact of cigarette smoke exposure
Published in
Respiratory Research, May 2018
DOI 10.1186/s12931-018-0799-7
Pubmed ID
Authors

Maria G. Belvisi, Katie Baker, Nicole Malloy, Kristof Raemdonck, Bilel Dekkak, Michael Pieper, Anthony T. Nials, Mark A. Birrell

Abstract

Asthmatics that are exposed to inhaled pollutants such as cigarette smoke (CS) have increased symptom severity. Approximately 25% of adult asthmatics are thought to be active smokers and many sufferers, especially in the third world, are exposed to high levels of inhaled pollutants. The mechanism by which CS or other airborne pollutants alter the disease phenotype and the effectiveness of treatment in asthma is not known. The aim of this study was to determine the impact of CS exposure on the phenotype and treatment sensitivity of rodent models of allergic asthma. Models of allergic asthma were configured that mimicked aspects of the asthma phenotype and the effect of CS exposure investigated. In some experiments, treatment with gold standard asthma therapies was investigated and end-points such as airway cellular burden, late asthmatic response (LAR) and airway hyper-Reactivity (AHR) assessed. CS co-exposure caused an increase in the LAR but interestingly attenuated the AHR. The effectiveness of LABA, LAMA and glucocorticoid treatment on LAR appeared to be retained in the CS-exposed model system. The eosinophilia or lymphocyte burden was not altered by CS co-exposure, nor did CS appear to alter the effectiveness of glucocorticoid treatment. Steroids, however failed to reduce the neutrophilic inflammation in sensitized mice exposed to CS. These model data have certain parallels with clinical findings in asthmatics, where CS exposure did not impact the anti-inflammatory efficacy of steroids but attenuated AHR and enhanced symptoms such as the bronchospasm associated with the LAR. These model systems may be utilised to investigate how CS and other airborne pollutants impact the asthma phenotype; providing the opportunity to identify novel targets.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 26%
Student > Master 4 13%
Student > Ph. D. Student 3 10%
Student > Bachelor 3 10%
Other 3 10%
Other 3 10%
Unknown 7 23%
Readers by discipline Count As %
Medicine and Dentistry 6 19%
Biochemistry, Genetics and Molecular Biology 5 16%
Pharmacology, Toxicology and Pharmaceutical Science 3 10%
Immunology and Microbiology 3 10%
Agricultural and Biological Sciences 2 6%
Other 3 10%
Unknown 9 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 October 2018.
All research outputs
#7,918,097
of 14,995,047 outputs
Outputs from Respiratory Research
#820
of 1,864 outputs
Outputs of similar age
#118,035
of 275,983 outputs
Outputs of similar age from Respiratory Research
#1
of 1 outputs
Altmetric has tracked 14,995,047 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,864 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 53% 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 275,983 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 56% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them