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On the Role of CD8+ T Cells in Determining Recovery Time from Influenza Virus Infection

Overview of attention for article published in Frontiers in immunology, December 2016
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Title
On the Role of CD8+ T Cells in Determining Recovery Time from Influenza Virus Infection
Published in
Frontiers in immunology, December 2016
DOI 10.3389/fimmu.2016.00611
Pubmed ID
Authors

Pengxing Cao, Zhongfang Wang, Ada W. C. Yan, Jodie McVernon, Jianqing Xu, Jane M. Heffernan, Katherine Kedzierska, James M. McCaw

Abstract

Myriad experiments have identified an important role for CD8(+) T cell response mechanisms in determining recovery from influenza A virus infection. Animal models of influenza infection further implicate multiple elements of the immune response in defining the dynamical characteristics of viral infection. To date, influenza virus models, while capturing particular aspects of the natural infection history, have been unable to reproduce the full gamut of observed viral kinetic behavior in a single coherent framework. Here, we introduce a mathematical model of influenza viral dynamics incorporating innate, humoral, and cellular immune components and explore its properties with a particular emphasis on the role of cellular immunity. Calibrated against a range of murine data, our model is capable of recapitulating observed viral kinetics from a multitude of experiments. Importantly, the model predicts a robust exponential relationship between the level of effector CD8(+) T cells and recovery time, whereby recovery time rapidly decreases to a fixed minimum recovery time with an increasing level of effector CD8(+) T cells. We find support for this relationship in recent clinical data from influenza A (H7N9) hospitalized patients. The exponential relationship implies that people with a lower level of naive CD8(+) T cells may receive significantly more benefit from induction of additional effector CD8(+) T cells arising from immunological memory, itself established through either previous viral infection or T cell-based vaccines.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Ph. D. Student 6 15%
Professor 4 10%
Student > Doctoral Student 3 8%
Professor > Associate Professor 3 8%
Other 7 18%
Unknown 9 23%
Readers by discipline Count As %
Mathematics 7 18%
Agricultural and Biological Sciences 6 15%
Biochemistry, Genetics and Molecular Biology 3 8%
Medicine and Dentistry 3 8%
Immunology and Microbiology 2 5%
Other 6 15%
Unknown 12 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 09 February 2017.
All research outputs
#7,303,186
of 25,806,080 outputs
Outputs from Frontiers in immunology
#8,195
of 32,415 outputs
Outputs of similar age
#122,727
of 425,499 outputs
Outputs of similar age from Frontiers in immunology
#83
of 286 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 32,415 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 74% 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 425,499 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 70% of its contemporaries.
We're also able to compare this research output to 286 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 68% of its contemporaries.