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A Recombinant DNA Plasmid Encoding the sIL-4R-NAP Fusion Protein Suppress Airway Inflammation in an OVA-Induced Mouse Model of Asthma

Overview of attention for article published in Inflammation, May 2016
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
A Recombinant DNA Plasmid Encoding the sIL-4R-NAP Fusion Protein Suppress Airway Inflammation in an OVA-Induced Mouse Model of Asthma
Published in
Inflammation, May 2016
DOI 10.1007/s10753-016-0375-6
Pubmed ID
Authors

Xin Liu, Guo Fu, Zhenyu Ji, Xiabing Huang, Cong Ding, Hui Jiang, Xiaolong Wang, Mingxuan Du, Ting Wang, Qiaozhen Kang

Abstract

Asthma is a chronic inflammatory airway disease. It was prevalently perceived that Th2 cells played the crucial role in asthma pathogenesis, which has been identified as the important target for anti-asthma therapy. The soluble IL-4 receptor (sIL-4R), which is the decoy receptor for Th2 cytokine IL-4, has been reported to be effective in treating asthma in phase I/II clinical trail. To develop more efficacious anti-asthma agent, we attempt to test whether the Helicobacter pylori neutrophil-activating protein (HP-NAP), a novel TLR2 agonist, would enhance the efficacy of sIL-4R in anti-asthma therapy. In our work, we constructed a pcDNA3.1-sIL-4R-NAP plasmid, named PSN, encoding fusion protein of murine sIL-4R and HP-NAP. PSN significantly inhibited airway inflammation, decreased the serum OVA-specific IgE levels and remodeled the Th1/Th2 balance. Notably, PSN is more effective on anti-asthma therapy comparing with plasmid only expressing sIL-4R.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Student > Bachelor 2 25%
Student > Doctoral Student 1 13%
Student > Ph. D. Student 1 13%
Professor 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Immunology and Microbiology 3 38%
Biochemistry, Genetics and Molecular Biology 2 25%
Environmental Science 1 13%
Medicine and Dentistry 1 13%
Unknown 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 April 2017.
All research outputs
#18,459,684
of 22,873,031 outputs
Outputs from Inflammation
#609
of 1,052 outputs
Outputs of similar age
#249,952
of 333,164 outputs
Outputs of similar age from Inflammation
#9
of 22 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,052 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 32nd percentile – i.e., 32% 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 333,164 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 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 54% of its contemporaries.