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Additive anti-inflammatory effects of corticosteroids and phosphodiesterase-4 inhibitors in COPD CD8 cells

Overview of attention for article published in Respiratory Research, January 2016
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About this Attention Score

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

Mentioned by

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2 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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15 Dimensions

Readers on

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48 Mendeley
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Title
Additive anti-inflammatory effects of corticosteroids and phosphodiesterase-4 inhibitors in COPD CD8 cells
Published in
Respiratory Research, January 2016
DOI 10.1186/s12931-016-0325-8
Pubmed ID
Authors

Seamus Grundy, Jonathan Plumb, Manminder Kaur, David Ray, Dave Singh

Abstract

CD8 lymphocytes play an important role in the pathogenesis of COPD. Corticosteroids and phosphodiesterase 4 (PDE4) inhibitors are anti-inflammatory drugs used for COPD treatment. Little is known of the combined effect of these drugs on COPD CD8 cells. We studied the effect of corticosteroid combined with PDE4 inhibitors on cytokine release form circulating and pulmonary CD8 cells, and on glucocorticoid (GR) nuclear translocation. The effect of dexamethasone alone and in combination with the PDE4 inhibitors roflumilast and GSK256066 on cytokine release from circulating and pulmonary CD8 cells was measured. The effect of the compounds on nuclear translocation of GR and cyclic AMP-responsive element-binding protein (CREB) was studied using immunofluorescence. Dexamethasone inhibited cytokine release from COPD CD8 cells in a concentration dependent manner. PDE4 inhibitors enhanced this anti-inflammatory effect in an additive manner. PDE4 inhibitors did not increase corticosteroid induced GR nuclear translocation. PDE4 inhibitors, but not corticosteroid, increased phospho-CREB nuclear translocation. The combination of corticosteroids and PDE4 inhibitors results in an additive anti-inflammatory effect in COPD CD8 cells. This enhanced anti-inflammatory effect could translate to important clinical benefits for patients with COPD.

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 %
United Kingdom 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 25%
Student > Bachelor 9 19%
Student > Ph. D. Student 5 10%
Student > Master 5 10%
Student > Postgraduate 3 6%
Other 7 15%
Unknown 7 15%
Readers by discipline Count As %
Medicine and Dentistry 12 25%
Biochemistry, Genetics and Molecular Biology 6 13%
Pharmacology, Toxicology and Pharmaceutical Science 6 13%
Agricultural and Biological Sciences 5 10%
Immunology and Microbiology 3 6%
Other 4 8%
Unknown 12 25%

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 January 2016.
All research outputs
#7,902,276
of 14,054,251 outputs
Outputs from Respiratory Research
#989
of 1,725 outputs
Outputs of similar age
#140,958
of 338,338 outputs
Outputs of similar age from Respiratory Research
#14
of 25 outputs
Altmetric has tracked 14,054,251 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,725 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 338,338 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 25 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.