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Proteomic profiling of peripheral blood neutrophils identifies two inflammatory phenotypes in stable COPD patients

Overview of attention for article published in Respiratory Research, May 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Title
Proteomic profiling of peripheral blood neutrophils identifies two inflammatory phenotypes in stable COPD patients
Published in
Respiratory Research, May 2017
DOI 10.1186/s12931-017-0586-x
Pubmed ID
Authors

Adèle Lo Tam Loi, Susan Hoonhorst, Corneli van Aalst, Jeroen Langereis, Vera Kamp, Simone Sluis-Eising, Nick ten Hacken, Jan-Willem Lammers, Leo Koenderman

Abstract

COPD is a heterogeneous chronic inflammatory disease of the airways and it is well accepted that the GOLD classification does not fully represent the complex clinical manifestations of COPD and this classification therefore is not well suited for phenotyping of individual patients with COPD. Besides the chronic inflammation in the lung compartment, there is also a systemic inflammation present in COPD patients. This systemic inflammation is associated with elevated levels of cytokines in the peripheral blood, but the precise composition is unknown. Therefore, differences in phenotype of peripheral blood neutrophils in vivo could be used as a read out for the overall systemic inflammation in COPD. Our aim was to utilize an unsupervised method to assess the proteomic profile of peripheral neutrophils of stable COPD patients and healthy age matched controls to find potential differences in these profiles as read-out of inflammatory phenotypes. We performed fluorescence two-dimensional difference gel electrophoresis with the lysates of peripheral neutrophils of controls and stable COPD patients. We identified two groups of COPD patients based on the differentially regulated proteins and hierarchical clustering whereas there was no difference in lung function between these two COPD groups. The neutrophils from one of the COPD groups were less responsive to bacterial peptide N-formyl-methionyl-leucyl-phenylalanine (fMLF). This illustrates that systemic inflammatory signals do not necessarily correlate with the GOLD classification and that inflammatory phenotyping can significantly add in an improved diagnosis of single COPD patients. Clinicaltrials.gov: NCT00807469 registered December 11th 2008.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Student > Bachelor 6 13%
Student > Postgraduate 5 11%
Professor > Associate Professor 4 9%
Researcher 2 4%
Other 5 11%
Unknown 13 29%
Readers by discipline Count As %
Medicine and Dentistry 15 33%
Biochemistry, Genetics and Molecular Biology 5 11%
Agricultural and Biological Sciences 3 7%
Immunology and Microbiology 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 5 11%
Unknown 14 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 16 April 2019.
All research outputs
#2,420,229
of 25,744,802 outputs
Outputs from Respiratory Research
#248
of 3,106 outputs
Outputs of similar age
#43,381
of 328,356 outputs
Outputs of similar age from Respiratory Research
#15
of 82 outputs
Altmetric has tracked 25,744,802 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,106 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 92% 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 328,356 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.