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Correlates of Follicular Helper Bias in the CD4 T Cell Response to a Retroviral Antigen

Overview of attention for article published in Frontiers in immunology, June 2018
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Title
Correlates of Follicular Helper Bias in the CD4 T Cell Response to a Retroviral Antigen
Published in
Frontiers in immunology, June 2018
DOI 10.3389/fimmu.2018.01260
Pubmed ID
Authors

Luca Danelli, Tiziano Donnarumma, George Kassiotis

Abstract

CD4+ T cell differentiation is influenced by a plethora of intrinsic and extrinsic factors, providing the immune system with the ability to tailor its response according to specific stimuli. Indeed, different classes of pathogens may induce a distinct balance of CD4+ T cell differentiation programmes. Here, we report an uncommonly strong bias toward follicular helper (Tfh) differentiation of CD4+ T cells reactive with a retroviral envelope glycoprotein model antigen, presented in its natural context during retroviral infection. Conversely, the response to the same antigen, presented in different immunization regimens, elicited a response typically balanced between Tfh and T helper 1 cells. Comprehensive quantitation of variables known to influence Tfh differentiation revealed the closest correlation with the strength of T cell receptor (TCR) signaling, leading to PD-1 expression, but not with surface TCR downregulation, irrespective of TCR clonotypic avidity. In contrast, strong TCR signaling leading to TCR downregulation and induction of LAG3 expression in high TCR avidity clonotypes restrained CD4+ T cell commitment and further differentiation. Finally, stunted Th1 differentiation, correlating with limited IL-2 availability in retroviral infection, provided permissive conditions for Tfh development, suggesting that Tfh differentiation is the default program of envelope-reactive CD4+ T cells.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 46%
Student > Master 3 23%
Student > Bachelor 2 15%
Unknown 2 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 23%
Agricultural and Biological Sciences 3 23%
Immunology and Microbiology 3 23%
Medicine and Dentistry 2 15%
Unknown 2 15%
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 12 July 2018.
All research outputs
#20,432,146
of 25,983,245 outputs
Outputs from Frontiers in immunology
#23,194
of 32,688 outputs
Outputs of similar age
#254,616
of 345,464 outputs
Outputs of similar age from Frontiers in immunology
#598
of 747 outputs
Altmetric has tracked 25,983,245 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,688 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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We're also able to compare this research output to 747 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.