Knockouts of TNFRSF1A and TNFRSF1B Genes in K562 Cell Line Lead to Diverse Long-Lasting Responses to TNF-α.

This research delves into the intricate landscape of tumor necrosis factor-alpha (TNF-α) signaling, a multi-functional cytokine known for its diverse cellular effects. Specifically, we investigate the roles of two TNF receptors, TNFR1 and TNFR2, in mediating TNF-α-induced transcriptional responses. Using human K562 cell lines with TNFR1 and TNFR2 knockouts, we explore changes in gene expression patterns following TNF-α stimulation. Our findings reveal distinct transcriptional profiles in TNFR1 and TNFR2 knockout cells, shedding light on the unique contributions of these receptors to TNF-α signaling. Notably, several key pathways associated with inflammation, apoptosis, and cell proliferation exhibit altered regulation in the absence of TNFR1 or TNFR2. This study provides valuable insights into the intricate mechanisms governing TNF-α signaling and its diverse cellular effects, with potential implications for targeted therapeutic strategies.

Ligand-Regulated Expression of TNF Receptors 1 and 2 Determines Receptor-Mediated Functional Responses.

INTRODUCTION: 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. METHODS: 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. RESULTS: 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+ and TNFR2+ 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). CONCLUSIONS: 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.

Co-Expression of Membrane-Bound Tumor Necrosis Factor-Alpha Receptor Types 1 and 2 by Tumor Cell Lines.

INTRODUCTION: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.

Expression Density of Receptors as a Potent Regulator of Cell Function and Property in Health and Pathology.

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.

Co-Expression Profile of TNF Membrane-Bound Receptors Type 1 and 2 in Rheumatoid Arthritis on Immunocompetent Cells Subsets.

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.

TNFR1 Absence Is Not Crucial for Different Types of Cell Reaction to TNF: A Study of the TNFR1-Knockout Cell Model.

BACKGROUND: One of the mechanisms regulating the biological activity of tumor necrosis factor (TNF) in cells is the co-expression of TNFR1/TNFR2 receptors. A model with a differential level of receptor expression is required to evaluate the contribution of these mechanisms. AIM: The development of a cellular model to compare the effects of TNF on cells depending on the presence of both receptors and TNFR2 alone. METHODS: TNFR1 absence modifications of ZR-75/1 and K-562 cell lines were obtained by TNFR1 knockout. The presence of deletions was confirmed by Sanger sequencing, and the absence of cell membrane receptor expression was confirmed by flow cytometry. The dose-dependent effect of TNF on intact and knockout cells was comparatively evaluated by the effect on the cell cycle, the type of cell death, and the profile of expressed genes. RESULTS: Knockout of TNFR1 resulted in a redistribution of TNFR2 receptors with an increased proportion of TNFR2+ cells in both lines and a multidirectional change in the density of expression in the lines (increased in K562 and decreased in ZR75/1). The presence of a large number of cells with high TNFR2 density in the absence of TNFR1 in the K562 cells was associated with greater sensitivity to TNF-stimulating doses and increased proliferation but did not result in a significant change in cell death parameters. A twofold increase in TNFR2+ cell distribution in this cell line at a reduced expression density in ZR75/1 cells was associated with a change in sensitivity to low cytokine concentrations in terms of proliferation; an overall increase in cell death, most pronounced at standard stimulating concentrations; and increased expression of the lymphocyte-activation gene groups, host-pathogen interaction, and innate immunity. CONCLUSIONS: The absence of TNFR1 leads to different variants of compensatory redistribution of TNFR2 in cellular models, which affects the type of cell response and the threshold level of sensitivity. The directionality of cytokine action modulation and sensitivity to TNF levels depends not only on the fraction of cells expressing TNFR2 but also on the density of expression.

TNFα Causes a Shift in Gene Expression of TNFRSF1A and TNFRSF1B Isoforms.

Alternative splicing is a part of mRNA processing that expands the diversity of proteins encoded by a single gene. Studying the full range of proteins-products of translation of alternatively spliced mRNA is extremely important for understanding the interactions between receptor proteins and ligands since different receptor protein isoforms can provide variation in the activation of signaling pathways. In this study, we investigated the expression of isoforms of TNFR1 and TNFR2 receptors before and after exposure to TNFα in two cell lines that had previously demonstrated diverse effects on cell proliferation under TNFα incubation using RT-qPCR. We found that after incubation with TNFα: (1) expression of isoform 3 of the TNFRSF1A gene was increased in both cell lines; (2) the cell line with increased proliferation, K562, had decreased expression of isoforms 1 and 4 of the TNFRSF1A gene and expression of isoform 2 of TNFRSF1B gene was absent at all; (3) the cell line with decreased proliferation-MCF-7 had significantly increased expression of isoform 2 of TNFRSF1B gene. Thus, we can conclude that TNFα exposure to the K562 and MCF-7 cell lines leads to changes in the expression of TNFα receptor isoforms, which, in turn, can appear via diverse proliferative effects.

Parameters of TNF receptor co-expression in allergic and autoimmune processes: Differences and diagnostic significance.

The authors used a method quantitative estimation density of TNFR1/TNFR2 on cells by flow cytometry with calibration particles, which allowed them to estimate the absolute number of receptors on cells regardless of the type of flow cytometer. The TNF receptor expression parameters were used to determine their association with the fact of disease and to build diagnostic models. The proposed methodological approach using a combination of flow cytometry and mathematical modeling techniques represents a promising direction for testing the diagnostic and prognostic significance of the studied biomarkers. The multifactorial regression analysis constructed on the basis of this approach made it possible to refine and supplement diagnostic schemes for determining the probability of rheumatoid arthritis and bronchial asthma in patients.

The Influence of Severity and Disease Duration on TNF Receptors' Redistribution in Asthma and Rheumatoid Arthritis.

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.

Redistribution of TNF Receptor 1 and 2 Expression on Immune Cells in Patients with Bronchial Asthma.

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.

Co-expression of membrane-bound TNF-alpha type 1 and 2 receptors differ in the subsets of immunocompetent cells.

The immunoregulatory cytokine tumor necrosis factor α plays crucial roles in the pathogenesis of a broad spectrum of disorders. However, its effect may depend on the expression and co-expression of receptors on the target cell. The aim of the present study was to evaluate the expression levels of type 1 and 2 tumor necrosis factor α receptors (TNFR1/2) on individual cell subsets from peripheral blood of healthy volunteers. Flow cytometry analysis was used to study whole populations as well as subsets (T regulatory cells, T memory cells, cytotoxic T cells, T helper cells). Significant differences in the co-expression of TNFR1/2 were seen within subsets and total pools. Further studies are necessary to explore the implications of the observed differences in the modulation of tumor necrosis factor α function in health and pathology.