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RNA-Seq analysis of chikungunya virus infection and identification of granzyme A as a major promoter of arthritic inflammation

Overview of attention for article published in PLoS Pathogens, February 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
5 X users
facebook
1 Facebook page
reddit
1 Redditor

Citations

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96 Dimensions

Readers on

mendeley
175 Mendeley
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Title
RNA-Seq analysis of chikungunya virus infection and identification of granzyme A as a major promoter of arthritic inflammation
Published in
PLoS Pathogens, February 2017
DOI 10.1371/journal.ppat.1006155
Pubmed ID
Authors

Jane A. C. Wilson, Natalie A. Prow, Wayne A. Schroder, Jonathan J. Ellis, Helen E. Cumming, Linden J. Gearing, Yee Suan Poo, Adam Taylor, Paul J. Hertzog, Francesca Di Giallonardo, Linda Hueston, Roger Le Grand, Bing Tang, Thuy T. Le, Joy Gardner, Suresh Mahalingam, Pierre Roques, Phillip I. Bird, Andreas Suhrbier

Abstract

Chikungunya virus (CHIKV) is an arthritogenic alphavirus causing epidemics of acute and chronic arthritic disease. Herein we describe a comprehensive RNA-Seq analysis of feet and lymph nodes at peak viraemia (day 2 post infection), acute arthritis (day 7) and chronic disease (day 30) in the CHIKV adult wild-type mouse model. Genes previously shown to be up-regulated in CHIKV patients were also up-regulated in the mouse model. CHIKV sequence information was also obtained with up to ≈8% of the reads mapping to the viral genome; however, no adaptive viral genome changes were apparent. Although day 2, 7 and 30 represent distinct stages of infection and disease, there was a pronounced overlap in up-regulated host genes and pathways. Type I interferon response genes (IRGs) represented up to ≈50% of up-regulated genes, even after loss of type I interferon induction on days 7 and 30. Bioinformatic analyses suggested a number of interferon response factors were primarily responsible for maintaining type I IRG induction. A group of genes prominent in the RNA-Seq analysis and hitherto unexplored in viral arthropathies were granzymes A, B and K. Granzyme A-/- and to a lesser extent granzyme K-/-, but not granzyme B-/-, mice showed a pronounced reduction in foot swelling and arthritis, with analysis of granzyme A-/- mice showing no reductions in viral loads but reduced NK and T cell infiltrates post CHIKV infection. Treatment with Serpinb6b, a granzyme A inhibitor, also reduced arthritic inflammation in wild-type mice. In non-human primates circulating granzyme A levels were elevated after CHIKV infection, with the increase correlating with viral load. Elevated granzyme A levels were also seen in a small cohort of human CHIKV patients. Taken together these results suggest granzyme A is an important driver of arthritic inflammation and a potential target for therapy. ClinicalTrials.gov NCT00281294.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 1 <1%
Brazil 1 <1%
Unknown 171 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 16%
Student > Ph. D. Student 27 15%
Student > Master 25 14%
Student > Bachelor 16 9%
Student > Doctoral Student 8 5%
Other 23 13%
Unknown 48 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 18%
Immunology and Microbiology 26 15%
Biochemistry, Genetics and Molecular Biology 24 14%
Medicine and Dentistry 16 9%
Veterinary Science and Veterinary Medicine 3 2%
Other 16 9%
Unknown 58 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 15 October 2019.
All research outputs
#1,022,873
of 25,382,440 outputs
Outputs from PLoS Pathogens
#927
of 9,469 outputs
Outputs of similar age
#20,622
of 319,461 outputs
Outputs of similar age from PLoS Pathogens
#36
of 185 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,469 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done particularly well, scoring higher than 90% 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 319,461 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 185 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.