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The Differentiation and Protective Function of Cytolytic CD4 T Cells in Influenza Infection

Overview of attention for article published in Frontiers in immunology, March 2016
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Title
The Differentiation and Protective Function of Cytolytic CD4 T Cells in Influenza Infection
Published in
Frontiers in immunology, March 2016
DOI 10.3389/fimmu.2016.00093
Pubmed ID
Authors

Deborah M. Brown, Anna T. Lampe, Aspen M. Workman

Abstract

CD4 T cells that recognize peptide antigen in the context of class II MHC can differentiate into various subsets that are characterized by their helper functions. However, increasing evidence indicates that CD4 cells with direct cytolytic activity (CD4 CTL) play a role in chronic as well as acute infections, such as influenza A virus (IAV) infection. In the last couple of decades, techniques to measure the frequency and activity of these cytolytic cells has demonstrated their abundance in infections, such as human immunodeficiency virus, mouse pox, murine gamma herpes virus, cytomegalovirus, Epstein-Barr virus, and influenza among others. We now appreciate a greater role for CD4 CTL as direct effectors in viral infections and antitumor immunity through their ability to acquire perforin-mediated cytolytic activity and contribution to lysis of virally infected targets or tumors. As early as the 1980s, CD4 T cell clones with cytolytic potential were identified after influenza virus infection, yet much of this early work was dependent on in vitro culture and little was known about the physiological relevance of CD4 CTL. Here, we discuss the direct role CD4 CTL play in protection against lethal IAV infection and the factors that drive the generation of perforin-mediated lytic activity in CD4 cells in vivo during IAV infection. While focusing on CD4 CTL generated during IAV infection, we pull comparisons from the literature in other antiviral and antitumor systems. Further, we highlight what is currently known about CD4 CTL secondary and memory responses, as well as vaccination strategies to induce these potent killer cells that provide an extra layer of cell-mediated immune protection against heterosubtypic IAV infection.

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X Demographics

The data shown below were collected from the profiles of 2 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
United States 1 1%
Unknown 88 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 34%
Researcher 15 17%
Student > Bachelor 10 11%
Student > Master 7 8%
Student > Doctoral Student 5 6%
Other 10 11%
Unknown 12 13%
Readers by discipline Count As %
Immunology and Microbiology 34 38%
Agricultural and Biological Sciences 15 17%
Medicine and Dentistry 11 12%
Biochemistry, Genetics and Molecular Biology 10 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 6 7%
Unknown 12 13%
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 09 March 2016.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from Frontiers in immunology
#24,770
of 31,554 outputs
Outputs of similar age
#233,285
of 314,846 outputs
Outputs of similar age from Frontiers in immunology
#117
of 148 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,554 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 314,846 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.