scholarly journals Immunolocalization of FOXP3, JAK1 and STAT5 in Preeclamptic, Intrauterine Growth Restricted and Gestational Diabetic Human Placentas

2021 ◽  
Vol 3 (3) ◽  
pp. 73-77
Author(s):  
Volkan Emirdar ◽  
Gulcin Ekizceli ◽  
Yagmur Dilber ◽  
Sevinc Inan ◽  
Muzaffer Sanci

Objective: The aim of the study to show the relation of  T cells in placental villous fragments with FOXP3,JAK1 and STAT5  receptors in different conditions such as   GDM, PE and IUGR placental tissues.  Methods: Specimens of ten(10) diabetic placentas, ten(10) preeclamptic, ten(10) intrauterine growth restricted placentas  and ten(10) control placentas were collected by systematic uniform random sampling. Immunohistochemical detections of FOXP3, JAK1 and STAT5 were performed in histological sections for each group’s placental tissue. The H-score value was derived for each specimen by calculating the sum of the percentage of syncytiotrophoblast and syncytial nodes in placenta and intervillus area. They were categorized by intensity of staining, multiplied by its respective score. Results: FOXP3, JAK1 and STAT5 immunoreactivity comparisons are shown in four groups of placentas. FOXP3 immunoreactions significantly increase in GDM group.  JAK1 and STAT5 immunoreactions significantly decrease in PE group. STAT5 immunoreactivity was detected crucially increase  in GDM group. Discussion: The results showed that in different conditions such as PE,GDM and IUGR,  T cells in   placental villous fragments have relation with FOXP3,JAK1 and STAT5  receptors and that FOXP3 can inactivate the PE and IUGR in the placental tissue. We have also confirmed as other studies that  JAK-STAT pathway plays important role in PE,IUGR and GDM placental tissue.

10.37236/3977 ◽  
2016 ◽  
Vol 23 (1) ◽  
Author(s):  
O. Bodini ◽  
A. Genitrini ◽  
F. Peschanski

In this paper, we study the interleaving – or pure merge – operator that most often characterizes parallelism in concurrency theory. This operator is a principal cause of the so-called combinatorial explosion that makes the analysis of process behaviours e.g. by model-checking, very hard – at least from the point of view of computational complexity. The originality of our approach is to study this combinatorial explosion phenomenon on average, relying on advanced analytic combinatorics techniques. We study various measures that contribute to a better understanding of the process behaviours represented as plane rooted trees: the number of runs (corresponding to the width of the trees), the expected total size of the trees as well as their overall shape. Two practical outcomes of our quantitative study are also presented: (1) a linear-time algorithm to compute the probability of a concurrent run prefix, and (2) an efficient algorithm for uniform random sampling of concurrent runs. These provide interesting responses to the combinatorial explosion problem.


2021 ◽  
Vol 12 ◽  
Author(s):  
Maaria Palmroth ◽  
Krista Kuuliala ◽  
Ritva Peltomaa ◽  
Anniina Virtanen ◽  
Antti Kuuliala ◽  
...  

ObjectiveCurrent knowledge on the actions of tofacitinib on cytokine signaling pathways in rheumatoid arthritis (RA) is based on in vitro studies. Our study is the first to examine the effects of tofacitinib treatment on Janus kinase (JAK) - signal transducer and activator of transcription (STAT) pathways in vivo in patients with RA.MethodsSixteen patients with active RA, despite treatment with conventional synthetic disease-modifying antirheumatic drugs (csDMARDs), received tofacitinib 5 mg twice daily for three months. Levels of constitutive and cytokine-induced phosphorylated STATs in peripheral blood monocytes, T cells and B cells were measured by flow cytometry at baseline and three-month visits. mRNA expression of JAKs, STATs and suppressors of cytokine signaling (SOCS) were measured from peripheral blood mononuclear cells (PBMCs) by quantitative PCR. Association of baseline signaling profile with treatment response was also investigated.ResultsTofacitinib, in csDMARDs background, decreased median disease activity score (DAS28) from 4.4 to 2.6 (p < 0.001). Tofacitinib treatment significantly decreased cytokine-induced phosphorylation of all JAK-STAT pathways studied. However, the magnitude of the inhibitory effect depended on the cytokine and cell type studied, varying from 10% to 73% inhibition following 3-month treatment with tofacitinib. In general, strongest inhibition by tofacitinib was observed with STAT phosphorylations induced by cytokines signaling through the common-γ-chain cytokine receptor in T cells, while lowest inhibition was demonstrated for IL-10 -induced STAT3 phosphorylation in monocytes. Constitutive STAT1, STAT3, STAT4 and STAT5 phosphorylation in monocytes and/or T cells was also downregulated by tofacitinib. Tofacitinib treatment downregulated the expression of several JAK-STAT pathway components in PBMCs, SOCSs showing the strongest downregulation. Baseline STAT phosphorylation levels in T cells and monocytes and SOCS3 expression in PBMCs correlated with treatment response.ConclusionsTofacitinib suppresses multiple JAK-STAT pathways in cytokine and cell population specific manner in RA patients in vivo. Besides directly inhibiting JAK activation, tofacitinib downregulates the expression of JAK-STAT pathway components. This may modulate the effects of tofacitinib on JAK-STAT pathway activation in vivo and explain some of the differential findings between the current study and previous in vitro studies. Finally, baseline immunological markers associate with the treatment response to tofacitinib.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3962-3962
Author(s):  
Binu Sasi ◽  
Zhijun Qiu ◽  
Shoulei Jiang ◽  
An-Ping Lin ◽  
Ricardo Aguiar

Antigen-specific T lymphocytes can recognize and eliminate aberrant cells. Cancer cells halt this process by hijacking a system of immune checkpoints, the programmed cell death 1 (PD-1) and its ligands (PD-L1/2) pathway, which physiologically regulates the quantity and activity of T cells, establishing peripheral T cell tolerance and limiting tissue damage. PD-L1-expressing cancer cells interact with and inhibit PD-1 positive T cells, thus abrogating anti-cancer immunity, which can be restored by checkpoint inhibitors (CPI). Improved understanding of the regulation of PD-L1 expression will shed further light on how cancer cells escape immune surveillance, and it may help in the design of combinatorial therapeutic strategies that expand the activity of CPI. Oncogenes (e.g., MYC, STAT3, HIF1 and NF-KB) have been shown to directly induce PD-L1 transcription. In addition, pro-inflammatory cytokines, notably IFN-γ, via the JAK/STAT pathway, also increase PD-L1 expression, an intuitive counteracting regulatory axis that prevents unchecked inflammation and auto-immunity. The second messenger cyclic-AMP (cAMP) is a classical mediator of anti-inflammatory and immunosuppressive inputs. However, its putative role in PD-L1 regulation is unknown. Addressing this knowledge gap is especially relevant because this signaling node can be modulated with a class of FDA-approved agents, the phosphodiesterase 4 (PDE4) inhibitors. We have recently reviewed the pleiotropic roles that cAMP/PDE4 plays in diffuse large B-cell lymphoma (DLBCL) biology (BloodPMID: 27756749). Thus, to examine if cAMP modulates PD-L1 expression, we first used DLBCL cell lines (n=10). Raising the levels of intracellular cAMP readily induced PD-L1 expression (measured by WB and FACS) in ABC-DLBCLs but not in GCB-DLBCLs. This cAMP-mediated induction of PD-L1 occurred also at RNA level; however, using reporter assays we found that the canonical cAMP-PKA-CREB pathway does not directly activate the PD-L1 promoter. The immune modulatory activity of cAMP is mediated, at least in part, by transcriptional activation/secretion of cytokines. Thus, we considered that cAMP induction of PD-L1 in DLBCL may be driven by an autocrine loop. In agreement with this idea, cAMP promoted JAK/STAT activation and culturing DLBCL cell lines in conditioned media (CM) from cAMP-high models induced PD-L1 expression. These assays pointed to secreted factor(s) as intermediaries in the cAMP/PD-L1 axis. Therefore, we screened a panel of 105 cytokines to identify those secreted by DLBCL cell lines following cAMP up-modulation - in most models, we detected a significant cAMP-driven increase in IL-6, IL-8, IL-10 and IL-1α secretion. For validation, we focused on IL-10 because this was the most commonly cAMP-induced cytokine across the DLBCL models. We found that recombinant IL-10 induced PD-L1, albeit this induction was significantly less marked than that observed following an increase in intra-cellular cAMP. Concordantly, antibody-based blocking of the IL-10 signals, and pharmacologically inhibiting the JAK/STAT pathway, only partially abrogated the cAMP-mediated induction of PD-L1. We concluded that IL-10 and JAK/STAT signals relay part, but not all, of the cAMP effects on PD-L1 expression in DLBCL. Next, we utilized the Pde4b null mouse model to examine if these observations were present in an organismal level and in non-immortalized immune cells. In these assays, spleens of Pde4b WT, +/- and -/- mice (8-16 weeks old, male and female, n=8) were collected and analyzed by WB and FACS. Spleen cells from Pde4b deficient mice had markedly higher expression of PD-L1 (WB). By FACS, we found that the increase in PDL1 expression in Pde4b null mice derived from T cells, B cells, but from the smaller non-B/T cell population (CD19/CD3 negative). Finally, we found that the PDE4 inhibitor roflumilast used as a single agent in vitro robustly induced PD-L1 expression in DLBCL cell lines. In summary, we identified cAMP as an "actionable" novel regulator of PD-L1 expression in normal and malignant immune cells. Mechanistically, cAMP drives an autocrine loop enacted by cytokines and transduced in part by JAK/STAT. This finding supports the clinical testing of roflumilast to induce PD-L1 expression, a strategy that may improve the activity of checkpoint inhibitors in DLBCL and related tumor types. Disclosures No relevant conflicts of interest to declare.


Placenta ◽  
2010 ◽  
Vol 31 (3) ◽  
pp. 178-185 ◽  
Author(s):  
A.A. Tzschoppe ◽  
E. Struwe ◽  
H.G. Dörr ◽  
T.W. Goecke ◽  
M.W. Beckmann ◽  
...  

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