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Association Between Programed Cell Death-1 and CD4+ T Cell Alterations in Different Phases of Ischemic Stroke Patients

Overview of attention for article published in Frontiers in Cellular Neuroscience, June 2018
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Title
Association Between Programed Cell Death-1 and CD4+ T Cell Alterations in Different Phases of Ischemic Stroke Patients
Published in
Frontiers in Cellular Neuroscience, June 2018
DOI 10.3389/fncel.2018.00170
Pubmed ID
Authors

Yi Zhang, Li Wei, Yupeng Du, Yirui Xie, Wei Wu, Yuan Yuan

Abstract

Objective: We aimed to analyze alterations in T cell subgroups during different post-ischemic stroke (IS) phases to explore the possible mechanisms underlying stroke-induced immune depression (SIID). Methods: Sixty-four IS patients who met the entry criteria were divided into three groups: an acute phase group, a sub-acute phase group and a stable phase group. Fourteen healthy individuals were selected as normal controls. The phenotype distribution of T cells in patient peripheral blood was analyzed, and the immune checkpoint receptors programed cell death-1 (PD-1) and T cell immunoglobulin and mucin domain 3 (Tim-3) were detected in different T cell phenotypes. Results: Compared with the control group, the absolute number of CD4+ T cells and CD4+ T central memory (TCM) cells was significantly increased in the acute phase group but decreased in the sub-acute phase and stable phase groups compared with that in the acute phase group. PD-1 expression in CD4+ T cells in the stable phase group showed a significant increase compared with that in the acute phase group. The expression of PD-1 on CD4+ TCM cells and CD4+ T effector memory (TEM) cells showed significant decreases in the acute phase compared with control cells; however, in the sub-acute phase and the stable phase, PD-1 expression was significantly increased compared with that in the acute phase. Conclusions: T cell dysfunction, especially CD4+ T cell dysfunction, occurred during different IS phases. PD-1 was highly expressed in CD4+ T cells of different phenotypes after the acute phase and was associated with alterations in CD4+ T cells. Particularly, PD-1 was negatively correlated with the absolute number of TCM cells among different CD4+ T cell phenotypes, which may be one of the possible mechanisms of SIID.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 26%
Student > Bachelor 4 21%
Student > Master 2 11%
Student > Doctoral Student 1 5%
Student > Ph. D. Student 1 5%
Other 2 11%
Unknown 4 21%
Readers by discipline Count As %
Immunology and Microbiology 3 16%
Medicine and Dentistry 3 16%
Biochemistry, Genetics and Molecular Biology 2 11%
Psychology 2 11%
Arts and Humanities 1 5%
Other 1 5%
Unknown 7 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 June 2018.
All research outputs
#14,355,501
of 23,092,602 outputs
Outputs from Frontiers in Cellular Neuroscience
#2,181
of 4,279 outputs
Outputs of similar age
#184,517
of 328,686 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#63
of 112 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,279 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 48th percentile – i.e., 48% 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 328,686 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.