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Temporal Dynamics of Host Molecular Responses Differentiate Symptomatic and Asymptomatic Influenza A Infection

Overview of attention for article published in PLoS Genetics, August 2011
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
6 news outlets
blogs
3 blogs
policy
1 policy source
twitter
16 X users
patent
4 patents
facebook
3 Facebook pages

Citations

dimensions_citation
177 Dimensions

Readers on

mendeley
197 Mendeley
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Title
Temporal Dynamics of Host Molecular Responses Differentiate Symptomatic and Asymptomatic Influenza A Infection
Published in
PLoS Genetics, August 2011
DOI 10.1371/journal.pgen.1002234
Pubmed ID
Authors

Yongsheng Huang, Aimee K. Zaas, Arvind Rao, Nicolas Dobigeon, Peter J. Woolf, Timothy Veldman, N. Christine Øien, Micah T. McClain, Jay B. Varkey, Bradley Nicholson, Lawrence Carin, Stephen Kingsmore, Christopher W. Woods, Geoffrey S. Ginsburg, Alfred O. Hero

Abstract

Exposure to influenza viruses is necessary, but not sufficient, for healthy human hosts to develop symptomatic illness. The host response is an important determinant of disease progression. In order to delineate host molecular responses that differentiate symptomatic and asymptomatic Influenza A infection, we inoculated 17 healthy adults with live influenza (H3N2/Wisconsin) and examined changes in host peripheral blood gene expression at 16 timepoints over 132 hours. Here we present distinct transcriptional dynamics of host responses unique to asymptomatic and symptomatic infections. We show that symptomatic hosts invoke, simultaneously, multiple pattern recognition receptors-mediated antiviral and inflammatory responses that may relate to virus-induced oxidative stress. In contrast, asymptomatic subjects tightly regulate these responses and exhibit elevated expression of genes that function in antioxidant responses and cell-mediated responses. We reveal an ab initio molecular signature that strongly correlates to symptomatic clinical disease and biomarkers whose expression patterns best discriminate early from late phases of infection. Our results establish a temporal pattern of host molecular responses that differentiates symptomatic from asymptomatic infections and reveals an asymptomatic host-unique non-passive response signature, suggesting novel putative molecular targets for both prognostic assessment and ameliorative therapeutic intervention in seasonal and pandemic influenza.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 6%
United Kingdom 5 3%
Brazil 1 <1%
Netherlands 1 <1%
Taiwan 1 <1%
Austria 1 <1%
Unknown 176 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 62 31%
Student > Ph. D. Student 50 25%
Student > Master 16 8%
Student > Doctoral Student 11 6%
Student > Bachelor 11 6%
Other 36 18%
Unknown 11 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 37%
Biochemistry, Genetics and Molecular Biology 31 16%
Medicine and Dentistry 28 14%
Immunology and Microbiology 13 7%
Computer Science 11 6%
Other 24 12%
Unknown 18 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 92. 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 12 December 2022.
All research outputs
#463,354
of 25,461,852 outputs
Outputs from PLoS Genetics
#283
of 8,970 outputs
Outputs of similar age
#1,659
of 134,794 outputs
Outputs of similar age from PLoS Genetics
#1
of 140 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,970 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one has done particularly well, scoring higher than 96% 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 134,794 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 98% of its contemporaries.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.