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The transcriptional profile of coronary arteritis in Kawasaki disease

Overview of attention for article published in BMC Genomics, December 2015
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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Title
The transcriptional profile of coronary arteritis in Kawasaki disease
Published in
BMC Genomics, December 2015
DOI 10.1186/s12864-015-2323-5
Pubmed ID
Authors

Anne H. Rowley, Kristine M. Wylie, Kwang-Youn A. Kim, Adam J. Pink, Amy Yang, Rebecca Reindel, Susan C. Baker, Stanford T. Shulman, Jan M. Orenstein, Mark W. Lingen, George M. Weinstock, Todd N. Wylie

Abstract

Kawasaki Disease (KD) can cause potentially life-threatening coronary arteritis in young children, and has a likely infectious etiology. Transcriptome profiling is a powerful approach to investigate gene expression in diseased tissues. RNA sequencing of KD coronary arteries could elucidate the etiology and the host response, with the potential to improve KD diagnosis and/or treatment. Deep RNA sequencing was performed on KD (n = 8) and childhood control (n = 7) coronary artery tissues, revealing 1074 differentially expressed mRNAs. Non-human RNA sequences were subjected to a microbial discovery bioinformatics platform, and microbial sequences were analyzed by Metastats for association with KD. T lymphocyte activation, antigen presentation, immunoglobulin production, and type I interferon response were significantly upregulated in KD arteritis, while the tumor necrosis factor α pathway was not differentially expressed. Transcripts from known infectious agents were not specifically associated with KD coronary arteritis. The immune transcriptional profile in KD coronary artery tissues has features of an antiviral immune response such as activated cytotoxic T lymphocyte and type I interferon-induced gene upregulation. These results provide new insights into the pathogenesis of KD arteritis that can guide selection of new immunomodulatory therapies for high-risk KD patients, and provide direction for future etiologic studies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 21%
Researcher 8 15%
Student > Bachelor 6 11%
Student > Master 4 8%
Professor 3 6%
Other 12 23%
Unknown 9 17%
Readers by discipline Count As %
Medicine and Dentistry 11 21%
Biochemistry, Genetics and Molecular Biology 9 17%
Agricultural and Biological Sciences 7 13%
Immunology and Microbiology 5 9%
Engineering 3 6%
Other 4 8%
Unknown 14 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 10 September 2016.
All research outputs
#6,904,601
of 22,835,198 outputs
Outputs from BMC Genomics
#3,172
of 10,655 outputs
Outputs of similar age
#109,368
of 388,246 outputs
Outputs of similar age from BMC Genomics
#97
of 327 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 10,655 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 69% 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 388,246 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 71% of its contemporaries.
We're also able to compare this research output to 327 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 69% of its contemporaries.