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Nasal mucosal microRNA expression in children with respiratory syncytial virus infection

Overview of attention for article published in BMC Infectious Diseases, March 2015
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Title
Nasal mucosal microRNA expression in children with respiratory syncytial virus infection
Published in
BMC Infectious Diseases, March 2015
DOI 10.1186/s12879-015-0878-z
Pubmed ID
Authors

Christopher S Inchley, Tonje Sonerud, Hans O Fjærli, Britt Nakstad

Abstract

Respiratory syncytial virus (RSV) infection is a common cause of pediatric hospitalization. microRNA, key regulators of the immune system, have not previously been investigated in respiratory specimens during viral infection. We investigated microRNA expression in the nasal mucosa of 42 RSV-positive infants, also comparing microRNA expression between disease severity subgroups. Nasal mucosa cytology specimens were collected from RSV-positive infants and healthy controls. 32 microRNA were selected by microarray for qPCR verification in 19 control, 16 mild, 7 moderate and 19 severe disease samples. Compared to healthy controls, RSV-positive infants downregulated miR-34b, miR-34c, miR-125b, miR-29c, mir125a, miR-429 and miR-27b and upregulated miR-155, miR-31, miR-203a, miR-16 and let-7d. On disease subgroups analysis, miR-125a and miR-429 were downregulated in mild disease (p = 0.03 and 0.02, respectively), but not in severe disease (p = 0.3 and 0.3). microRNA expression in nasal epithelium cytology brushings of RSV-positive infants shows a distinct profile of immune-associated miRNA. miR-125a has important functions within NF-κB signaling and macrophage function. The lack of downregulation of miR-125a and miR-429 in severe disease may help explain differences in disease manifestations on infection with RSV.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 20%
Student > Ph. D. Student 7 13%
Student > Master 7 13%
Student > Bachelor 5 9%
Other 4 7%
Other 7 13%
Unknown 15 27%
Readers by discipline Count As %
Medicine and Dentistry 12 21%
Biochemistry, Genetics and Molecular Biology 11 20%
Agricultural and Biological Sciences 8 14%
Immunology and Microbiology 5 9%
Engineering 3 5%
Other 2 4%
Unknown 15 27%
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 18 April 2015.
All research outputs
#20,273,512
of 22,805,349 outputs
Outputs from BMC Infectious Diseases
#6,466
of 7,675 outputs
Outputs of similar age
#222,930
of 263,364 outputs
Outputs of similar age from BMC Infectious Diseases
#142
of 147 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,675 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.