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Immunosuppressive Treg cells acquire the phenotype of effector-T cells in chronic lymphocytic leukemia patients

Overview of attention for article published in Journal of Translational Medicine, June 2018
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Title
Immunosuppressive Treg cells acquire the phenotype of effector-T cells in chronic lymphocytic leukemia patients
Published in
Journal of Translational Medicine, June 2018
DOI 10.1186/s12967-018-1545-0
Pubmed ID
Authors

Serena De Matteis, Chiara Molinari, Giulia Abbati, Tania Rossi, Roberta Napolitano, Martina Ghetti, Andrea Ghelli Luserna Di Rorà, Gerardo Musuraca, Alessandro Lucchesi, Gian Matteo Rigolin, Antonio Cuneo, Daniele Calistri, Pier Paolo Fattori, Massimiliano Bonafè, Giovanni Martinelli

Abstract

In chronic lymphocytic leukemia (CLL) disease onset and progression are influenced by the behavior of specific CD4+ T cell subsets, such as T regulatory cells (Tregs). Here, we focused on the phenotypic and functional characterization of Tregs in CLL patients to improve our understanding of the putative mechanism by which these cells combine immunosuppressive and effector-like properties. Peripheral blood mononuclear cells were isolated from newly diagnosed CLL patients (n = 25) and healthy volunteers (n = 25). The phenotypic and functional characterization of Tregs and their subsets was assessed by flow cytometry. In vitro analysis of TH1, TH2, TH17 and Tregs cytokines was evaluated by IFN-γ, IL-4, IL-17A and IL-10 secretion assays. The transcriptional profiling of 84 genes panel was evaluated by RT2 Profiler PCR Array. Statistical analysis was carried out using exact non parametric Mann-Whitney U test. In all CLL samples, we found a significant increase in the frequency of IL-10-secreting Tregs and Tregs subsets, a significant rise of TH2 IL-4+ and TH17 IL-17A+ cells, and a higher percentage of IFN-γ/IL-10 and IL-4/IL-10 double-releasing CD4+ T cells. In addition, we also observed the up-regulation of innate immunity genes and the down-regulation of adaptive immunity ones. Our data show that Tregs switch towards an effector-like phenotype in CLL patients. This multifaceted behavior is accompanied by an altered cytokine profiling and transcriptional program of immune genes, leading to a dysfunction in immune response in the peripheral blood environment of CLL patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 20%
Researcher 6 17%
Student > Bachelor 5 14%
Student > Doctoral Student 2 6%
Professor 1 3%
Other 2 6%
Unknown 12 34%
Readers by discipline Count As %
Immunology and Microbiology 8 23%
Biochemistry, Genetics and Molecular Biology 3 9%
Medicine and Dentistry 3 9%
Agricultural and Biological Sciences 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 3 9%
Unknown 14 40%
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 16 June 2019.
All research outputs
#18,640,437
of 23,092,602 outputs
Outputs from Journal of Translational Medicine
#2,992
of 4,051 outputs
Outputs of similar age
#253,007
of 328,081 outputs
Outputs of similar age from Journal of Translational Medicine
#53
of 99 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,051 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 17th percentile – i.e., 17% 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 328,081 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.