The expression of cytokine receptors has a crucial role in many cellular processes. Recent studies reported that changes of receptor expression could control the action of mediators on target cells. The initiation of different signaling pathways and, therefore, specific effects on cells, depends on certain components forming the cytokine-receptor complex. These mechanisms control the immune response and affect both the course of diseases (oncological, autoimmune, inflammatory) and the effectiveness of therapy. This review describes the potential of immune mediator receptors to regulate the efficiency of cytokine activity during pathologic processes and ensure the variability of their biological effects. Our aim was to investigate the spectrum of potential roles of changes in mediator receptor expression for main classes of pathologies. For all major types of immune mediators (cytokines, interleukins, chemokines, growth factors, and tumor necrosis factors), it has been shown that changes in their receptor expression are associated with impaired functioning of the organism in chronic diseases.
The article deals with the company's transition to management based on a process approach. This approach is the basis for the introduction of lean-production, which has been especially popular in recent years in Russia. Company executives do not always understand how to start changes. The authors have developed diagnostic matrices in three areas: Management Processes, Organizational Culture, and Organizational Systems. Using an expert assessment of the proposed criteria, the manager can understand the current level of company development and identify problems in each area. Developed diagnostic matrices consider the analysis of processes in the dynamics of transformation of company policy from reactive to proactive.
<b><i>Introduction:</i></b> Modulating specific biological effects through the changes in cytokine receptors’ expression level remains poorly understood. This study aimed to investigate the influence of the dose-dependent effect of TNF on the balance between proapoptotic and proliferation response depending on the parameters of TNFR1/2 expression density. <b><i>Methods:</i></b> Tumor cell lines (HEp-2, K-562, MCF-7, ZR-75/1, MOLT-4, IM-9, and Raji) were characterized for TNFR1/2 co-expression using flow cytometry and were studied to reveal the dose-dependent effect of rhTNF on cell cycle and apoptosis parameters. The associations among the studied parameters were estimated by correlation and regression analysis. <b><i>Results:</i></b> It was found for ZR-75/1 cells (the cell line characterized by high expression of both types) that a dose-dependent increase in expression of both types of TNF-α receptors on cells reduces the proliferative activity of cells. For MOLT-4 cells (which are characterized by lower expression), an increase in proliferative response of cells was positively associated with the percentage of both TNFR1<sup>+</sup> and TNFR2<sup>+</sup> cells. However, opposite effects on the cells were shown for the K-562 and MCF-7 lines having a similar expression profile. A similarity (a large percentage of double-positive cells) was revealed for the lines having similar effects (K-562 and ZR-75/1). <b><i>Conclusions:</i></b> High expression of TNF receptor type 1 is not always associated with predominant activation of proapoptotic pathways. However, in the case of simultaneous high expression of both types of receptors, the proportion of double-positive cells is crucial for the activation of either the proapoptotic or proliferation pathways.
Introduction: Tumor necrosis factor (TNFα) is an important proinflammatory cytokine in rheumatoid arthritis (RA) immune processes. However, TNFα activity and functions may be regulated by soluble receptors, which act as decoys, and by number, density, and co-expression of its membrane-bound receptors type 1 and 2 (TNFR1 and TNFR2). The aim of this study was to reveal associations between TNFR1/2 co-expression profile parameters and RA disease activity indicators. Methods: PBMC were analyzed from 46 healthy donors and 64 patients with RA using flow cytometry. Patients were divided according to the disease activity score (DAS) 28 index into groups with high (n = 22, 34.4%), moderate (n = 30, 46.9%), and low (n = 12, 18.8%) disease activity. Co-expression of TNFR1 and TNFR2 was studied by evaluating the percentage of cells, with different receptors, and by counting the number of receptors of each type per cell, using QuantiBritePE beads. Associations between disease severity and activity indicators and parameters of TNFα receptor expression in subpopulations of immune cells were studied. Results: T cell subsets from RA patients were characterized by co-expression of TNFR1 and TNFR2, and were found to differ significantly compared with healthy donors. Memory cells both among T helper cells and cytotoxic T cells demonstrated the most significant differences in TNFR-expression profile. Multivariable logistic regression revealed model to identified RA patients from healthy individual based on the TNFR1/2 co-expression parameters. Conclusion: The profile of TNFR1\2 co-expression differs in RA comparing with health. Proportion of TNFR1+TNFR2- cells increased significantly among memory T helper cells and activated cytotoxic T cells, and decreased significantly among naïve cytotoxic T cells and T regulatory cells as compared with health. The parameters of TNFR1\2 co-expression in RA are associated with clinical and laboratory indicators of disease activity.
One of the mechanisms of cellular dysfunction during the chronization of immune-system-mediated inflammatory diseases is a change in the profile of expression and co-expression of receptors on cells. The aim of this study was to compare patterns of redistribution of TNF receptors (TNFRs) among patients with different durations of rheumatoid arthritis (RA) or asthma. Subgroup analysis was performed on RA (n = 41) and asthma (n = 22) patients with disease duration <10 years and >10 years and on 30 comparable healthy individuals. The co-expression profile of TNFR1 and TNFR2 was assessed in T cells, B cells, monocytes, regulatory T cells, T-helper subsets, and cytotoxic T-lymphocyte subsets. Percentages of cells with different co-expression combinations and receptor density per cell were estimated. Longer disease duration was significantly associated with a redistribution of receptors in immunocompetent cell subsets with an increase in the expression of TNFR1 in asthma but did not correlate with significant unidirectional changes in receptor expression in RA. In asthma, a higher proportion of cells with a certain type of TNF receptor (as compared with the healthy group) was correlated with a simultaneous greater density of this receptor type. In RA, an inverse correlation was observed (compensatory lower receptor density). Mechanisms of long-term changes in the expression of TNF receptors differ significantly between the diseases of autoimmune and allergic etiology. The formation of irreversible morphostructural alterations was strongly correlated with changes in the expression of TNFR1 in asthma and with changes in the expression of TNFR2 in RA.
<b><i>Introduction:</i></b> Density and co-expression of tumor necrosis factor (TNF) receptors may vary among cell populations. However, the role and potential of these changes remain unclear. This study aimed to determine the density of expression and co-expression of TNFR1/2 and the dose-dependent effect of soluble TNF on these parameters. <b><i>Methods:</i></b> Epithelial-like (HEp-2, K-562, MCF-7, ZR-75/1) and lymphoblast-like (MOLT-4, HL-60, Raji, RPMI-8226, IM-9) cell lines were characterized for co-expression of TNFR1/2 using a modified flow cytometry protocol. The dose-dependent effects of rhTNF on TNF receptor expression in these lines were studied. <b><i>Results:</i></b> This study reports a protocol for the simultaneous quantitative evaluation of the of TNF receptor number and co-expression of membrane-bound TNFR1/2. Cells within one tumor cell line were found to differ regarding their expression of type 1 and 2 TNFα receptors; simultaneously, cells with all 4 variants of co-expression may be present in culture. <b><i>Conclusion:</i></b> We demonstrated a dose-dependent effect of TNF on changes in the expression of TNFR1/2 by the percentage of positive cells and by the number of receptors, which may be used to control TNF-mediated processes in target cells.
Background: The co-expression patterns of type 1 and 2 tumor necrosis factor (TNF)-α membrane receptors (TNFR1/TNFR2) are associated with the presence, stage, and activity of allergic diseases. The aim of this study was to assess the expression levels and dynamics of TNFRs on immune cells and to assess associations between their expression and severity of bronchial asthma (BA). Methods: Patients with severe (n = 8), moderate (n = 10), and mild (n = 4) BA were enrolled. As a comparison group, data from 46 healthy volunteers (HV) were accessed. Co-expression of TNFR1/2 was evaluated as a percentage of cells and the number of receptors of each type per cell. Multivariate logistic regression analysis was used to identify diagnostic biomarkers of BA. Results: More than 90% of the monocytes in patients with mild BA were TNFR1+TNFR2+ but had significantly lower TNFR1 expression density compared with HV (7.82- to 14.08-fold, depending on disease severity). Lower percentages of the TNFR+ B-lymphocytes were observed in combination with significantly lower receptors density in BA compared with HV (2.59- to 11.64-fold for TNFR1 and 1.72- to 3.4-fold for TNFR2, depending on disease severity). The final multivariate model for predicting the presence of BA included the percentage of double-positive CD5+ B-lymphocytes and average number of TNFR1 molecules expressed on cytotoxic naive T-lymphocytes and T-helper cells (R2 = 0.87). Conclusions: The co-expression patterns of TNFRs on immune cells in BA differed significantly compared with HV. The expression differences were associated with disease severity. TNFR1 expression changes were key parameters that discriminated patients with BA from those with HV.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.