| Literature DB >> 31540482 |
Da Hye Kwon1, Hyesook Lee2, Cheol Park3, Su-Hyun Hong4, Sang Hoon Hong5, Gi-Young Kim6, Hee-Jae Cha7, Suhkmann Kim8, Heui-Soo Kim9, Hye-Jin Hwang10, Yung Hyun Choi11.
Abstract
The present study investigated the immunomodulatory activity of reduced glutathione (GSH) by assessment of the macrophage polarization (MP)-mediated immune response in RAW 264.7 cells. Furthermore, we identified the signal pathway associated with immune regulation by GSH. The expressions of MP-associated cytokines and chemokines were assessed using cytokine array, nCounter Sprit platform, ELISA and immunoblotting. Phagocytosis activity and intracellular reactive oxygen species (ROS) generation were measured using fluorescence-activated cell sorter. As results of the cytokine array and nCounter gene array, GSH not only up-regulated pro-inflammatory cytokines, including interleukins and tumor necrosis factor-α, but also overexpressed neutrophil-attracting chemokines. Furthermore, GSH significantly stimulated the production of immune mediators, including nitric oxide and PGE2, as well as phagocytosis activity through nuclear factor kappa B activation. In addition, GSH significantly decreased LPS-induced ROS generation, which was associated with an activation of nuclear factor erythroid-derived 2-related factor 2 (Nrf2)/ heme oxygenease-1 (HO-1) signaling pathway. Our results suggest that GSH has potential ROS scavenging capacity via the induction of Nrf2-mediated HO-1, and immune-enhancing activity by regulation of M1-like macrophage polarization, indicating that GSH may be a useful strategy to increase the human defense system.Entities:
Keywords: antioxidant; glutathione; heme oxygenase-1; immune response; inflammatory cytokines; macrophage polarization; reactive oxygen species
Year: 2019 PMID: 31540482 PMCID: PMC6770173 DOI: 10.3390/antiox8090413
Source DB: PubMed Journal: Antioxidants (Basel) ISSN: 2076-3921
Name and description of the genes.
| Gene | Symbol | Function (NCBI Gene Database) |
|---|---|---|
| Interleukin 1 alpha | IL-1α | This cytokine is a pleiotropic cytokine involved in various immune responses, inflammatory processes, and hematopoiesis. This cytokine is produced by monocytes and macrophages as a proprotein, which is proteolytically processed, and released in response to cell injury, and thus induces apoptosis. |
| Interleukin 1 beta | IL-1β | This cytokine is an important mediator of the inflammatory response, and is involved in a variety of cellular activities, including cell proliferation, differentiation, and apoptosis. |
| Interleukin 3 | IL-3 | This cytokine is capable of supporting the proliferation of a broad range of hematopoietic cell types. It is involved in a variety of cell activities, such as cell growth, differentiation, and apoptosis. |
| Interleukin 4 | IL-4 | This cytokine is a ligand for interleukin 4 receptor. The interleukin 4 receptor also binds to IL13, which may contribute to many overlapping functions of this cytokine and IL13. STAT6, a signal transducer and activator of transcription, has been shown to play a central role in mediating the immune regulatory signal of this cytokine. |
| Interleukin 6 | IL-6 | This gene encodes a cytokine that functions in inflammation and the maturation of B cells. In addition, the encoded protein has been shown to be an endogenous pyrogen capable of inducing fever in people with autoimmune diseases or infections. |
| Interleukin 12 | IL-12 | This gene encodes a subunit of interleukin 12, a cytokine that acts on T and natural killer cells, and has a broad array of biological activities. This cytokine is expressed by activated macrophages that serve as an essential inducer of Th1 cells development. |
| Interleukin 16 | IL-16 | The cytokine function is exclusively attributed to the secreted C-terminal peptide, while the N-terminal product may play a role in cell cycle control. Caspase 3 is reported to be involved in the proteolytic processing of this protein. |
| Tumor necrosis factor-alpha | TNF-α | This gene encodes a multifunctional proinflammatory cytokine. This cytokine is involved in the regulation of a wide spectrum of biological processes, including cell proliferation, differentiation, apoptosis, lipid metabolism, and coagulation. |
| Chemokine (C-X-C motif) ligand 1 | CXCL1 | This protein plays a role in inflammation, and as a chemoattractant for neutrophils. |
| Chemokine (C-X-C motif) ligand 2 | CXCL2 | This antimicrobial gene is part of a chemokine superfamily that encodes secreted proteins involved in immunoregulatory and inflammatory processes. |
| Chemokine (C-X-C motif) ligand 3 | CXCL3 | This protein plays a role in inflammation, and as a chemoattractant for neutrophils. |
| TNF alpha induced protein 3 | TNFAIP3 | This gene was identified as a gene whose expression is rapidly induced by the tumor necrosis factor (TNF). The protein has been shown to inhibit NF-kappa B activation, as well as TNF-mediated apoptosis. |
| TNF receptor superfamily member 11 alpha | TNFRSF11A | This receptor can interact with various TRAF family proteins, through which this receptor induces the activation of NF-kappa B and MAPK8/JNK. |
| Chemokine (C-X-C motif) ligand 11 | CXCL11 | Chemokines also play fundamental roles in the development, homeostasis, and function of the immune system, and they have effects on cells of the central nervous system, as well as on endothelial cells involved in angiogenesis or angiostasis. |
| Macrophage colony stimulating factor | MCS-F | The protein encoded by this gene is a cytokine that controls the production, differentiation, and function of macrophages. |
| Chemokine (C-C motif) ligand 2 | CCL2 | Chemokines are a superfamily of secreted proteins involved in immunoregulatory and inflammatory processes. |
| Chemokine (C-C motif) ligand 3 | CCL3 | This locus represents a small inducible cytokine. The encoded protein, also known as macrophage inflammatory protein 1 alpha, plays a role in inflammatory responses through binding to the receptors CCR1, CCR4, and CCR5 |
| Chemokine (C-C motif) ligand 4 | CCL4 | The encoded protein is secreted, and has chemokinetic and inflammatory functions. |
| Chemokine (C-C motif) ligand 7 | CCL7 | This gene encodes monocyte chemotactic protein 3, a secreted chemokine, which attracts macrophages during inflammation and metastasis. |
| Chemokine (C-C motif) receptor-like 2 | CCRL2 | Chemokines and their receptors mediated signal transduction are critical for the recruitment of effector immune cells to the site of inflammation. This gene is expressed at high levels in primary neutrophils and primary monocytes, and is further upregulated on neutrophil activation, and during monocyte to macrophage differentiation. |
| Nuclear factor kappa B subunit 1 | NFκB1 | This gene encodes a 105 kD protein which can undergo cotranslational processing by the 26S proteasome to produce a 50 kD protein. This protein is a Rel protein-specific transcription inhibitor, and the 50 kD protein is a DNA binding subunit of the NF-B (NFKB) protein complex. |
| Nuclear factor kappa B subunit 2 | NFκB2 | This gene encodes a subunit of the transcription factor complex NF-B. The NF-B complex is expressed in numerous cell types, and functions as a central activator of genes involved in inflammation and immune function. |
| Mitogen-activated protein kinase kinase kinase kinase 4 | MAP4K4 | This kinase has been shown to specifically activate MAPK8/JNK, and mediate the TNF-alpha signaling pathway. |
| Mitogen-activated protein kinase 11 | MAPK11 | This gene encodes a member of a family of protein kinases that are involved in the integration of biochemical signals for a wide variety of cellular processes, including cell proliferation, differentiation, transcriptional regulation, and development. |
| Notch homolog 1 | Notch1 | Notch signaling is an evolutionarily conserved intercellular signaling pathway. This receptor plays a role in the development of numerous cell and tissue types. Mutations in this gene are associated with aortic valve disease, Adams-Oliver syndrome, T-cell acute lymphoblastic leukemia, chronic lymphocytic leukemia, and head and neck squamous cell carcinoma. |
| Notch homolog 2 | Notch2 | Notch family members play a role in a variety of developmental processes by controlling cell fate decisions. The Notch signaling network is an evolutionarily conserved intercellular signaling pathway, which regulates interactions between physically adjacent cells. |
Name and description of the genes with a significant difference compared with control (p < 0.05).
Figure 1Effects of reduced glutathione on the cell viability in RAW 264.7 macrophages. Cells were treated with different concentration of GSH (0.5 to 2 mg/mL) and LPS of 1 and 2 ng/mL for 24 h. (A) Cell viability was measured by MTT assay. Data are expressed as the mean ± SD (n = 3). The statistical analyses were conducted using analysis of variance (ANOVA-Tukey’s post hoc test) between groups. *** p < 0.001 when compared to control. (B) The representative morphological changes of cells were taken using an inverted microscope (Scale bar; 20 μm).
Figure 2Effects of GSH on MP-derived cytokines and chemokines. Protein array analysis demonstrating the effects of GSH on cytokine profile. Cells were treated with the indicated concentrations of GSH (0.5 to 2 mg/mL) and LPS of 1 and 2 ng/mL for 24 h. The supernatants were then analyzed using the cytokine array. (A) Spots with the most prominent differentially regulated cytokines are identified by circles. (B) Quantitative analysis of spots on the cytokine array membrane. Quantitative analysis of mean pixel density was performed using the ImageJ® software, and data are the mean ± SD of three independent experiments. * p < 0.05 and † p < 0.05 indicate up-regulation and down-regulation of significant differences compared to control group, respectively.
Figure 3Heatmap of candidate gene expression for MP using NanoString nCounter® miRNA Expression Assays. The cells were treated with GSH or LPS, and then incubated for 24 h. Total RNA was collected by collecting the cells, and hybridization was performed using a reporter probe and a capture probe. After digital analysis through nCounter nanostring assay (NCT-120), the raw data was normalized using the housekeeping gene, and the gene expression change was represented by the fold change value. (A) Heatmap representing differentially expressed genes with fold-change cutoff of 0.5 and 2 (red and green, respectively). (B) and (C) Expression of each gene was indicated as fold change compared with control. Table 1 shows the abbreviations and designations defined.
Figure 4Effects of GSH on most-potent cytokines, NO and PGE2 production in RAW 264.7 macrophages. Cells were treated with GSH of 0.5 to 1 mg/mL and 1 ng/mL LPS, and then incubated for 24 h. The production of IL-1β (A), TNF-α (B), IL-4 (C) and IL-10 (D) on cell supernatant were measured by ELIAS kits. (E) The amounts of NO were measured using the Griess reagent in culture supernatant. (F) The levels of PGE2 were measured by an ELIAS kit. (G) The cell lysates were immunostained for IL-1β, TNF-α, iNOS, and COX-2. Actin was used as an internal control. Images of the membranes were photographed with the Fusion Fx image acquisition system. (H) Relative band density was measured by ImageJ. All data are expressed as the mean ± SD (n = 3). The statistical analyses were conducted using analysis of variance (ANOVA-Tukey’s post hoc test) between groups. * p < 0.05 ** p < 0.01 and *** p < 0.001 indicates significant difference compared to the non-treated control group. # p < 0.05, ## p < 0.01 and ### p < 0.001 when compared to LPS treatment.
Figure 5Effects of GSH on phagocytosis activity in RAW 264.7 macrophages. Cells were treated with GSH of 0.5 to 1 mg/mL and 1 ng/mL LPS, and for 24 h. (A) The phagocytosis activity was visualized by fluorescence microscopy. Scale bar; 200 μm. (B) The fluorescence intensity was counted and indicated as the number of phagocytic cells per field of view. (C) The phagocytosis capacity of GSH was gauged by flow cytometer. The images shown are representative of at least three independent experiments. (D) The statistical analyses were conducted using analysis of variance (ANOVA-Tukey’s post hoc test) between groups. *** p < 0.001 when compared to control. ## p < 0.01 and ### p < 0.001 when compared to LPS treatment.
Figure 6Effects of GSH on intracellular ROS generation in RAW 264.7 macrophages. Cells were pretreated with various concentrations of GSH for 1 h, and then stimulated with LPS (1 ng/mL) for 6 h. (A) After staining with DCF-DA, DCF fluorescence was monitored by flow cytometer. Results are presented as the means of two independent experiments. (B) Images were obtained by fluorescence microscopy (scale bar; 200 μm). The images shown are representative of at least three independent experiments.
Figure 7Effects of GSH on Keap1/Nrf2 activation in RAW 264.7 macrophages. (A,C) Cells were incubated with 1 mg/mL GSH for the indicated periods, or with the indicated concentration of GSH for 24 h. Expression of Nrf2, HO-1, and Keap1 was determined by Western blot analysis with total cell lysates. Actin was used as an internal control. (B,D) Relative band density was measured by ImageJ. (E) Cells were incubated with the indicated concentration of GSH for 24 h. Expression of Nrf2 was determined by Western blot analysis with cytosol and nuclear fraction. Actin and Lamin B were used as an internal control for cytosol and nuclear, respectively. (F,G) Relative band density for Nrf2 expression of cytosol and nuclear fraction was measured by ImageJ. All data are the means ± SD (n = 3). The statistical analyses were conducted using analysis of variance (ANOVA-Tukey’s post hoc test) between groups. ** p < 0.01 and *** p < 0.001 indicates significant difference compared to the non-treated control group.
Figure 8Effects of GSH on NF-κB signaling systems in RAW 264.7 macrophages. Cells were treated with GSH of 0.5 to 1 mg/mL and 1 ng/mL LPS, and for 24 h. Total RNA was collected by collecting the cells, and hybridization was performed using a reporter probe and a capture probe. After digital analysis through nCounter nanostring assay (NCT-120), the raw data was normalized using the housekeeping gene, and the gene expression change was represented by the fold change value. (A) Heatmap representing differentially expressed genes with fold-change cutoff of 0.5 and 2 (red and green, respectively). (B) The expression of each gene was indicated as fold change compared with control. Table 1 shows the abbreviations and designations defined.