scholarly journals Quantitative analysis of CD4+CD25+FoxP3+ regulatory T-cells in canine atopic dermatitis in Korea

2020 ◽  
Vol 65 (No. 6) ◽  
pp. 250-257
Author(s):  
DJ Lee ◽  
TH Chung ◽  
C Park

Recently, it was suggested that CD4<sup>+</sup>CD25<sup>+</sup>FoxP3<sup>+</sup> Tregs (Regulatory T-cells) exist in canine skin, although their numbers were not significantly different between healthy and atopic dogs. In this study, we investigated whether Treg frequencies correlate with the clinical features of canine atopic dermatitis (cAD). The goal of this study was to compare and analyse the numbers of the circulating Tregs in atopic and healthy dogs. In the peripheral blood mononuclear cells (PBMC) of healthy dogs, Tregs defined as CD4<sup>+</sup>CD25<sup>+</sup>FoxP3<sup>+</sup> Tregs in the peripheral blood ranged from 0.3% to 1.5%. By contrast, in atopic dogs, the same population ranged from 0.7% to 8.8%. The percentage of CD4<sup>+</sup>CD25<sup>+</sup>FoxP3<sup>+</sup> Tregs in gated CD4<sup>+</sup> T-cells was significantly higher in the peripheral blood of dogs with atopic dermatitis (n = 9) than in the healthy controls (n = 8). The difference in the Treg levels (CD4<sup>+</sup>CD25<sup>+</sup>FoxP3<sup>+</sup>) (P = 0.012) between the atopic and the healthy groups was statistically significant. The circulating T-cells (phenotype CD4<sup>+</sup>CD25<sup>+</sup>FoxP3<sup>+</sup> and CD4<sup>+</sup>FoxP3<sup>+</sup>) were increased significantly in the atopic dogs. The proportion of CD4<sup>+</sup>CD25<sup>+</sup>FoxP3<sup>+</sup> Tregs of the atopic dogs decreased with advancing age. These findings suggest that changes in the Tregs may mediate the pathogenesis of CAD.

2010 ◽  
Vol 17 (5) ◽  
pp. 556-566 ◽  
Author(s):  
Giovanni Frisullo ◽  
Raffaele Iorio ◽  
Domenico Plantone ◽  
Alessandro Marti ◽  
Viviana Nociti ◽  
...  

Circulating T cells and monocytes expressing T-bet, pSTAT1 and pSTAT3 increase in relapsing–remitting multiple sclerosis (RRMS) during relapse. Natalizumab (NZB) is an effective drug in RRMS, but exacerbation of the disease after its discontinuation has been described in some patients. The aim of this research was to study the effect of NZB treatment on circulating lymphomonocyte subpopulations expressing T-bet, pSTAT1, pSTAT3 and CD4+CD25+Foxp3+ regulatory T cells. Flow cytometry was used to evaluate the percentages of circulating CD4+ and CD8+ T cells, CD14+ monocytes and B cells expressing T-bet, pSTAT1, and pSTAT3, and CD4+CD25+Foxp3+ regulatory T cells from RRMS patients before and after 6–12 NZB infusions. In NZB-treated RRMS patients, the percentages of CD4+pSTAT1+ and CD8+pSTAT1+ T cells, CD14+pSTAT1+ monocytes, CD4+T-bet+, CD8+T-bet+ and CD4+pSTAT3+ T cells and CD14+pSTAT3+ monocytes increased after 12 drug infusions and were similar to those observed in untreated relapsing RRMS patients. Otherwise in vitro NZB exposure of peripheral blood mononuclear cells from untreated RRMS patients and controls had no effect. It was concluded that NZB treatment determines an accumulation of CD4+pSTAT1+, CD8+pSTAT1+, CD4+T-bet+, CD8+T-bet+ and CD4+STAT3+ T cells in peripheral blood that may account for the exacerbation of the disease observed in some patients after the discontinuation of the drug.


2021 ◽  
Vol 12 ◽  
Author(s):  
Patricia Ramos-Ramírez ◽  
Carina Malmhäll ◽  
Omar Tliba ◽  
Madeleine Rådinger ◽  
Apostolos Bossios

BackgroundAdiponectin is an important immunomodulatory mediator in inflammatory conditions. While we previously showed that adiponectin receptor 1 (AdipoR1) is expressed in murine regulatory T cells (Tregs), its expression in human Tregs remain unknown. Here, we examined the expression of AdipoR1 in human Tregs and whether its ligand, globular adiponectin (gAd) affects the Treg ability to secrete IL-10 and the role of Type 2 (T2) inflammation in such process.MethodsHuman Tregs from peripheral blood were analyzed by flow cytometry for AdipoR1, Helios and IL-10 expression. CD4+ T cells enriched from peripheral blood mononuclear cells (PBMCs) were cultured in the presence or the absence of gAd or the chemical adiponectin receptor agonist, AdipoRon, or in a T2 cytokine milieu. Flow cytometry was then used to assess intracellular IL-10, IL-10 secreting cells, FOXP3 and Helios expression, and phosphorylated p38 MAP kinase (MAPK). IL-10 levels in CD4+ T cell supernatants were quantified by ELISA.ResultsWe found that a subset of human Tregs expressed AdipoR1. Importantly, more Helios- cells expressed AdipoR1 than Helios+ cells. Likewise, there was a higher frequency of IL-10+ cells within Helios- AdipoR1+ Tregs compared to Helios+ AdipoR1+ Tregs. In contrast, the IL-10 mean fluorescence intensity (MFI) was higher in Helios+ AdipoR1+ Tregs compared to Helios-AdipoR1+ Tregs. When human CD4+ T cells were treated with gAd or AdipoRon, a significant increase in IL-10 secretion, FOXP3 expression, and p38 MAPK phosphorylation was observed in Helios- AdipoR1+ Tregs. Interestingly, gAd under T2 cytokine milieu significantly increased the intracellular levels of IL-10, mainly in Helios+ AdipoR1+ Tregs, and IL-10 levels in supernatants of CD4+ T cells.ConclusionsCollectively, our findings suggest that adiponectin/AdipoR1 axis promotes IL-10 release by Tregs, mainly in Helios- Tregs, and the effect was amplified by T2 inflammation in Helios+ Tregs.


Gut ◽  
1985 ◽  
Vol 26 (7) ◽  
pp. 739-744 ◽  
Author(s):  
V Barnaba ◽  
E Tamburrini ◽  
V Laghi ◽  
R Cauda ◽  
M Levrero ◽  
...  

Author(s):  
Mohd Khairul Mohd Kamil ◽  
Rozita Mohd ◽  
Rizna Abdul Cader ◽  
Azlin Ithnin ◽  
Shamsul Azhar Mohd Shah

Background: Systemic lupus erythromatosus (SLE) is an autoimmune disease with 20–65% of patients developing lupus nephritis (LN). Studies have reported 10% of LN patients will end up with end stage renal disease and their mortality rate is higher compared to patients without LN. Abnormality of regulatory T cells (Tregs) level is thought to be a potential factor for this LN development. The aim of study was to evaluate the percentage of Tregs in LN patients.Methods: This was a comparative cross sectional study involving LN patients and age and gender matched controls with a 2:1 ratio. The patients were grouped into active and inactive LN based on their lupus activity index; complement levels, ANA, dsDNA antibodies, ESR, SLE Disease Activity Index (SLEDAI2K) score and also urine PCI (uPCI>0.05 for active group). Disease history, demographic data, routine blood test, peripheral blood for differentials count were taken and recorded. Peripheral blood mononuclear cells were stained with CD4, CD25 and Foxp3 antibodies and percentage of Tregs was analysed using BD fluorescence-activated cell sorting (FACS) cytometer. We compared demographic and laboratory parameters between healthy controls and LN patients as well as active and inactive LN patients.Results: A total of 34 LN patients (32 females, 2 males) were recruited. Their mean age and disease duration were 37.97±11.14 years and 110.95±65.07 months respectively.  Thirteen matched controls with mean age 35.23±7.89 years were enrolled. There was no demographic difference between 2 groups of LN patients. Tregs were significantly lower in active LN compared to inactive LN and healthy control (0.44±0.37% vs. 1.89±0.46% vs. 3.12±0.56% of the CD4+, P<0.001). C3 and C4 complement fragments were significantly reduced in patients with active disease (C3; 50.92±28.43 vs. 76.31±25.63, P=0.011) and (C4; 11.17±8.41 vs. 16.70±6.50 P=0.044). Proteinuria was significantly higher while serum albumin levels were significantly lower in active patients compared to inactive patients and healthy control (urine PCI; 0.25(0.15-0.3) vs. 0.03(0.01-0.05) vs. 0.01, P<0.001) and (albumin; 29.89±6.87 vs. 36.87±3.58 vs. 40.62±1.89mmol/L, P<0.001). We found positive inversely correlation between Tregs with SLEDAI2K (r = -0.572, P=0.011) and proteinuria (r = -0.451, P=0.007).Conclusions: Tregs, C3 and C4 complements, and albumin were significantly lower while proteinuria was significantly higher in active LN. There was positive inversely correlation between the percentage of Tregs with SLEDAI2K score and proteinuria.


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