Abstract
Metabolic inflammation is associated with increased expression of saturated free fatty acids, proinflammatory cytokines, chemokines, and adipose oxidative stress. Macrophage inflammatory protein (MIP)-1α recruits the inflammatory cells such as monocytes, macrophages, and neutrophils in the adipose tissue; however, the mechanisms promoting the MIP-1α expression remain unclear. We hypothesized that MIP-1α co-induced by palmitate and tumor necrosis factor (TNF)-α in monocytic cells/macrophages could be further enhanced in the presence of reactive oxygen species (ROS)-mediated oxidative stress. To investigate this, THP-1 monocytic cells and primary human macrophages were co-stimulated with palmitate and TNF-α and mRNA and protein levels of MIP-1α were measured by using quantitative reverse transcription, polymerase chain reaction (qRT-PCR) and commercial enzyme-linked immunosorbent assays (ELISA), respectively. The cognate receptor of palmitate, toll-like receptor (TLR)-4, was blunted by genetic ablation, neutralization, and chemical inhibition. The involvement of TLR4-downstream pathways, interferon regulatory factor (IRF)-3 or myeloid differentiation (MyD)-88 factor, was determined using IRF3-siRNA or MyD88-deficient cells. Oxidative stress was induced in cells by hydrogen peroxide (H2O2) treatment and ROS induction was measured by dichloro-dihydro-fluorescein diacetate (DCFH-DA) assay. The data show that MIP-1α gene/protein expression was upregulated in cells co-stimulated with palmitate/TNF-α compared to those stimulated with either palmitate or TNF-α (P < 0.05). Further, TLR4-IRF3 pathway was implicated in the cooperative induction of MIP-1α in THP-1 cells, and this cooperativity between palmitate and TNF-α was clathrin-dependent and also required signaling through c-Jun and nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB). Notably, ROS itself induced MIP-1α and could further promote MIP-1α secretion together with palmitate and TNF-α. In conclusion, palmitate and TNF-α co-induce MIP-1α in human monocytic cells via the TLR4-IRF3 pathway and signaling involving c-Jun/NF-κB. Importantly, oxidative stress leads to ROS-driven MIP-1α amplification, which may have significance for metabolic inflammation.
Keywords: palmitate, TNF-α, oxidative stress, ROS, MIP-1α, TLR4, IRF3, metabolic inflammation
1. Introduction
Metabolic inflammation in obesity is associated with multiple factors such as oxidative stress, proinflammatory cytokines/chemokines, adipokines, and free fatty acids. The co-expression of these factors may damage the cellular structures and impair signaling, leading to obesity-related complications such as insulin resistance, metabolic syndrome, and liver and cardiovascular diseases [1]. Activated monocytes and M1 macrophages secrete proinflammatory cytokines and chemokines including tumor necrosis factor (TNF)-α, IL-1β, IL-6, and α/β chemokines [2]. The elevated levels of these factors may induce or promote the expression of reactive oxygen species (ROS) and reactive nitrogen species (RNS) in monocytes and macrophages [3]. Through a feedback loop mechanism, ROS or RNS may, in turn, induce the proinflammatory cytokines, adhesion molecules, and growth factors, and this crosstalk between ROS and proinflammatory factors plays a key role in sustaining a state of chronic low-grade inflammation [4].
The chemotactic cytokines called macrophage inflammatory proteins (MIPs) include MIP-1α (also called CCL3) and MIP-1β (also called CCL4), which orchestrate immune responses to infection and inflammation [5]. MIPs are important players in the induction of other proinflammatory cytokines such as TNF-α, IL-1β, and IL-6 in activated macrophages and fibroblasts; while, through their stimulatory effects on granulocytes, MIPs can induce acute neutrophilic inflammation [6]. MIP-1α is a major chemoattractant for monocytes/macrophages, T-lymphocytes and neutrophils [7]. It is produced by several activated cells including monocytes, macrophages, CD8+ T lymphocytes, dendritic cells, endothelial cells, fibroblasts, and microglial cells [8]. MIP-1α is involved in the pathogenesis of many chronic inflammatory conditions such as rheumatoid arthritis, multiple myeloma, leukemogenesis, periodontitis, and Sjögren syndrome [9,10].
Chemokines can be expressed in both immune and non-immune cells by a wide variety of inflammatory stimuli involving TNF-α, IL-1β, complement fraction C5a, viruses, bacterial LPS, leukotriene-B4, and free fatty acids (FFAs) [11]. Elevated circulatory levels of FFAs play a key role in inducing metabolic inflammation and insulin resistance [12]. FFAs may activate inflammatory signaling by binding to specific toll-like receptors (TLRs) [13]. TLR4 is a member of the pattern-recognition receptors family and is activated by pathogen-associated molecular patterns that include lipids, proteins, lipoproteins, LPS, and alarmins such as high-mobility group box-1 protein [14]. Ligand binding to TLR4 activates the downstream signaling via two different pathways i.e., MyD88-dependent pathway or TIR-domain-containing adapter-inducing interferon-β (TRIF)/IRF3-dependent pathway [15]. In the “classical or canonical” MyD88-dependent pathway, TLR recruits TIR domain-containing adaptor protein in cell membrane recruits MyD88, triggering the early-phase NF-κB activation. In the TRIF-dependent canonical pathway, TLR4 forms a signaling complex with TRIF related adaptor molecule (TRAM) and TRIF, resulting in the late-phase NF-κB activation via IRF3 engagement and IFN-β transcription. IKK phosphorylates IκBα and IκBβ, leading to polyubiquitination and degradation of IκBs via 26S proteasome and release of NF-κB, which translocates to the nucleus to activate target gene expression [16,17]. In the “alternative or non-canonical pathway” mainly involved in immune response, TNF receptor (TNFR) activation initiates the NF-κB-inducing kinase (NIK) to stimulate IKKα-induced phosphorylation and processing of NF-κB2 precursor. Activated NF-κB2, NIK, and RelB form a complex that translocates to the nucleus to activate target gene expression [18,19]. Given the emerging role of innate immune TLR4 receptor in nutrient sensing and metabolic inflammation, it is important to study which TLR4-downstream mechanism(s) can lead to MIP-1α expression in human monocytic cells and/or macrophages.
Palmitate is a long-chain saturated fatty acid that activates TLR4-mediated signaling and induces the expression of TNF-α, IL-6, and IL-1β in immune cells [20] and MIP-1α expression in human monocytic cells [21]. TNF-α is a critical proinflammatory cytokine associated with metabolic inflammation and insulin resistance [22]. Besides proinflammatory cytokines and chemokines such as MIP-1α [23], hypoxia and oxidative stress are also known to induce or exacerbate metabolic inflammation [24,25]. Given that both palmitate and TNF-α have been associated with metabolic inflammation, we asked if these two agents could cooperatively induce MIP-1α expression in human monocytic cells/macrophages and whether the oxidative stress per se could induce MIP-1α production. Herein, we show that palmitate and TNF-α co-induce MIP-1α expression in THP-1 monocytic cells or macrophages through the mechanism involving TLR4–IRF3 pathway, clathrin-mediated endocytosis (CME), and c-Jun/NFκB signaling, while the ROS also induces/increases MIP-1α secretion.
2. Materials and Methods
2.1. Cell Cultures and Stimulations
Human monocytic THP-1 cell line was purchased from the American Type Culture Collection (ATCC; Manassas, VA, USA). The cells were incubated at 37 °C (5% CO2 with humidity) in RPMI-1640 cell culture medium (Gibco, Life Technologies, Carlsbad, CA, USA) containing 10% FBS (Cat. #16140-071, Gibco, Life Technologies), 2 mM L-glutamine (Cat. #25030-081, Gibco, Invitrogen, Waltham, MA, USA), 1 mM sodium pyruvate, 10 mM HEPES, 50 U/mL penicillin & 50 μg/mL streptomycin (Cat. #15140-122, Gibco, Invitrogen), 0.05 mM 2-mercaptoethanol (Cat. #M3148, Sigma-Aldrich, St. Louis, MO, USA), and 100 μg/mL Normocin (Cat. #ant-nr, Gibco, Invitrogen). THP-1 cells defective in MyD88 activity known as THP1-XBlue™-defMyD or MyD88−/− cells were purchased from InvivoGen (San Diego, CA, USA). THP1-XBlue™-defMyD cells were incubated in RPMI-1640 complete cell culture medium containing Zeocin (200 μg/mL) and HygroGold (100 μg/mL; InvivoGen). Before stimulation, THP-1 cells were transferred to normal medium and plated at a cell density of 106 cells/mL/well in triplicate wells of 12-well plates (Costar, Corning Incorporated, Tewksbury, MA, USA). Cells were stimulated with palmitate (200 μM; Cat. #P5585, Sigma-Aldrich) and/or recombinant human TNF-α (10 ng/mL; Cat. #210-TA-100, R&D Systems, Minneapolis, MN, USA) or 0.1% fatty acid-free bovine serum albumin (BSA; Probumin® Cat. #82-02-004, Millipore-Sigma, Burlington, MA, USA) and incubated at 37 °C for 24 h. Cells were harvested for RNA isolation and culture supernatants were collected for measuring levels of secreted MIP-1α protein.
2.2. Isolation of Human Peripheral Blood Mononuclear Cells (PBMC), Differentiation, and Stimulation of Primary Macrophages
The peripheral blood from three healthy adult donors, 40 mL each, was collected in EDTA vacutainer tubes at phlebotomy unit of the Dasman Diabetes Institute (Kuwait City, Kuwait). All blood donors gave informed written consent before sample collection for the study. The collection and processing of blood samples was in accordance with the Declaration of Helsinki 1975 (revised in 2013) and the protocol was approved by the Ethics Committee of Dasman Diabetes Institute (Ref. #RA-2014-016, RA-AH-2016-007, & RA-2015-027). PBMC were isolated using standard HistoPaque density gradient technique as described elsewhere [26]. The cells were dispensed in triplicate wells of six-well plates (Costar, Corning Incorporated) at a cell density of 3 × 106 cells/3 mL/well and cultured in serum-free medium at 37 °C for 3 h. The non-adherent cells were removed by gentle flushing with fresh serum-free medium and the adherent cells were further incubated at 37 °C for 24 h in RPMI complete medium containing 2% FBS. Cells were stimulated with palmitate (200 μM) and/or TNF-α (10 ng/mL) or 0.1% BSA and incubated at 37 °C for 24 h. At the end of incubation, cells were harvested for total RNA extraction, and supernatants were collected for measuring concentrations of MIP-1α secreted protein.
2.3. siRNA-Mediated Genetic Suppression of TLR4 and IRF3
THP-1 cells were washed and resuspended in 100 μL nucleofector solution (Amaxa NucleofectorTM Kit V, Lonza Bioscience, Cologne, Germany). Cells were transfected separately with siRNAs (30 nM) against TLR4, IRF3, or scrambled (OriGene Technologies Inc. Rockville, MD, USA) and pmaxGFP (0.5 μg; Amaxa NucleofectorTM Kit V, Lonza Bioscience, Cologne, Germany) using Amaxa Electroporation System (Amaxa Inc., Cologne, Germany) and following the manufacturer’s instructions. At 36 h post-transfection, THP-1 cells (106 cells/mL/well) were treated in triplicate wells of 12-well plates with palmitate (200 μM) and/or TNF-α (10 ng/mL) or 0.1% BSA and incubated at 37 °C for 24 h. Cells were harvested for total RNA extraction and supernatants were collected for measuring MIP-1α secreted protein levels. The efficiency of siRNA transfection was assessed by fluorescence microscopy and target gene suppression was determined by real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR).
2.4. TLR4 Neutralization
THP-1 monocytic cells seeded in triplicate wells of 12-well plates at a cell density of 106 cells/mL/well were incubated at 37 °C for 40 min with anti-TLR4 neutralizing mAb (IgA2, 2 μg/mL; Cat. #mab2-htlr4, InvivoGen) or isotype-matched control mAb (IgA2, 2 μg/mL; Cat. #mabg1-ctrlm, InvivoGen). Later, antibody-labeled cells were treated with palmitate (200 μM) and/or TNF-α (10 ng/mL) or 0.1% BSA and incubated at 37 °C for 24 h. Cells were harvested for total RNA extraction and supernatants were collected for measuring MIP-1α secreted protein concentrations.
2.5. Chemical Inhibition of TLR4-Mediated Signaling
Oxidized 1-palmitoyl-2-arachidonoyl-sn-glycero-3-phosphocholine (OxPAPC) inhibits the TLR2- and TLR4-mediated signaling. It acts by competing with accessory proteins such as CD14, LBP, and MD2 that interact with bacterial lipids and inhibits the TLR2/4 mediated signaling [27]. To investigate the involvement of TLR4, THP-1 cells cultured in triplicate wells of 12-well plates at a cell density of 106 cells/mL/well were treated with palmitate (200 μM) and/or TNF-α (10 ng/mL) or 0.1% BSA, with or without OxPAPC (30 μg/mL; Cat. #tlrl-oxp1, InvivoGen) and cells were incubated at 37 °C for 24 h. Later, cells were harvested for total RNA extraction and supernatants were collected for measuring MIP-1α secreted protein.
2.6. Trafficking Inhibition
To study trafficking through the CME pathway, THP-1 monocytic cells cultured in triplicate wells of 12-well plates at a cell density of 106 cells/mL/well were treated (37 °C for 1 h) with a CME trafficking inhibitor chlorpromazine (CPZ; 20 μM) or with vehicle only [28]. Later, cells were treated with palmitate (200 μM) and/or TNF-α (10 ng/mL) or 0.1% BSA and incubated at 37 °C for 24 h to allow internalization via CME. At the end of incubation, cells were harvested for total RNA extraction and supernatants were collected for measuring levels of MIP-1α secreted protein.
2.7. Induction of Oxidative Stress, ROS Measurement, and Cell Treatments with Anti-Oxidants/ROS Scavengers
THP-1 cells cultured in triplicate wells of 12-well plates at a cell density of 106 cells/mL/well were incubated for 2 h at 37 °C (5% CO2 with humidity) for conditioning. Cells were then incubated at 37 °C for 10 h with 10 mM hydrogen peroxide (H2O2) (9.8M, Cat. No. 822287.1000, Merck, Temecula, CA, USA) for induction of ROS-mediated oxidative stress [29]. Cell viability was assessed by trypan blue dye exclusion test and was found to be >87%, differing non-significantly from the viability of vehicle-treated control (Supplementary Figure S1). The induction of ROS following treatment with H2O2 was determined using dichloro-dihydro-fluorescein diacetate (DCFH-DA) assay (Cat. #KP-06-003 BQC Kit, BioQueChem Inc., Llanera–Asturias, Spain), which measures the uptake of cell permeant 2′-7′dichlorofluorescein diacetate (DCFH-DA) fluorogenic probe. After incubation of cells with the probe for 15 min, DCFH-DA is hydrolyzed by cellular esterases into DCFH carboxylate anion, which is oxidized by ROS to yield a fluorescent product called 2′-7′dichlorofluorescein (DCF), detectable by flow cytometry, fluorescence microscopy, or fluorimetry (at excitation/emission spectra of 495 nm/529 nm). Briefly, THP-1 cells cultured in triplicate wells of 12-well plates at a cell density of 106 cells/mL/well were incubated at 37 °C with 10 mM H2O2 for 10 h. Later, cultured cells were loaded with DCFH-DA probe (15 μM) by incubation at 37 °C for 30 min, and cells were analyzed without washing by flow cytometry.
In the assays involving treatments with other agents, cells cultured in triplicate wells of 12-well plates at a cell density of 106 cells/mL/well were incubated at 37 °C for 24 h with palmitate (200 μM) and/or TNF-α (10 ng/ml) or 0.1% BSA, in the presence or absence of H2O2 (10mM for 10 h). Cells were harvested for total RNA extraction and supernatants were collected for measuring MIP-1α secreted protein concentrations. In the assays involving antioxidants or ROS inhibitors, THP-1 cells were incubated with N-acetyl cysteine (NAC) (5 mM for 40 min), apocynin (100 μM for 1 h), or curcumin (10 μM for 30 min) in designated triplicate wells and then treated with 10 mM H2O2 for 10 h to induce ROS. Cell supernatants were collected for measuring levels of MIP-1α secreted protein.
Resveratrol targets the TRIF/NF-κB, SIRT1, AMPK, mTOR, and other signaling mediators and is a potent ROS scavenger [30,31]. In assays involving treatments with resveratrol, THP-1 cells cultured in triplicate wells of 12-well plates at a cell density of 106 cells/mL/well were pre-incubated with resveratrol (5 μM) for 30 min or with vehicle only. Later, cells were treated with palmitate (200 μM) and/or TNF-α (10 ng/mL) or 0.1% BSA and incubated at 37 °C for 24 h, in accord with previously published report [15]. Cells were harvested for total RNA extraction and supernatants were collected for measuring concentrations of MIP-1α secreted protein.
2.8. Real-Time qRT-PCR
Total RNA was extracted using RNeasy Mini Kit (Qiagen, Hilden, Germany) and following the manufacturer’s instructions. Then, cDNA was synthesized from total RNA (1 μg) and following the given instructions (High Capacity cDNA Reverse Transcription Kit, Applied Biosystems, Foster City, CA, USA). For real-time PCR, cDNA (50 ng) was amplified with Inventoried TaqMan Gene Expression Assay products (MIP-1α: Hs04194942_s1; GAPDH: Hs03929097_g1; TLR4: Hs00152939_mL; and IRF3: Hs01547283_m1) comprising two gene-specific primers, one TaqMan MGB probe (6-FAM dye-labeled), and TaqMan® gene expression master mix (Applied Biosystems) using a 7500 fast real-time PCR system (Applied Biosystems). MIP-1α mRNA expression was normalized against GAPDH mRNA expression and target gene expression relative to control was calculated by using 2−ΔΔCT method, expressed as fold change over average gene expression in control treatment taken as 1.
2.9. ELISA
MIP-1α-secreted protein levels were measured in the supernatants of THP-1 cells stimulated with palmitate (200 μM) and/or TNF-α (10 ng/mL) or 0.1% BSA using human MIP-1α DuoSet ELISA kit and following the manufacturer’s instructions (Cat. #DY270, R&D Systems Inc.). Briefly, 96-well microplates were prepared by coating overnight with diluted capture antibody (100 μL/well). After three washes, plates were blocked by adding 300 μL of Reagent Diluent to each well and incubating at room temperature for 1 h. After three washes as before, appropriately diluted standards, controls, and samples were added in duplicate wells (100 μL/well), and plates were incubated at room temperature for 2 h. After three washes, Streptavidin-HRP was added (100 μL/well) and incubated at room temperature for 20 min in dark. After washing thrice, substrate solution was added (100 μL/well) and plates were again incubated at room temperature for 20 min in dark. Eventually, 50 μL of stop solution was added to each well and the plates were gently tapped to ensure thorough mixing. The optical density (O.D.) was read using a microplate reader at 450 nm, with wavelength correction set to 540 nm or 570 nm. For measuring MIP-1α concentrations, averages of duplicate readings for each standard, control, and sample were calculated, and the average zero standard O.D. was subtracted from each value. A standard curve was generated by plotting the mean absorbance for each standard on the Y-axis against the concentration on the X-axis to draw a best fit curve through the points on the graph. In order to calculate the final concentrations of MIP-1α (pg/mL), concentrations read from the standard curve were multiplied by the dilution factor as required.
2.10. Flow Cytometry
THP-1 cells were cultured (106 cells/mL/well) in triplicate wells of 12-well plates and stimulated with palmitate (200 μM) and/or TNF-α (10 ng/mL) or 0.1% BSA (Sigma) and incubated at 37 °C for 24 h, as previously described. Brefeldin A (eBioscience Cat. #00-4506-51, San Diego, CA, USA) was added (1 μg/mL) to wells during the last 8 h of incubation. Cells were harvested by centrifugation and stained for intracellular expression of MIP-1α following the manufacturer’s instructions. Briefly, cells were washed thrice and then fixed and permeabilized by using fixation/permeabilization buffer (eBioscience Cat. #00-5523-00, San Diego, CA, USA) and incubation for 20 min on wet ice. Cells were washed as before and incubated with mouse anti-human PE-conjugated MIP-1α antibody (BD PharmingenTM Cat. #554730, BD Biosciences, San Jose, CA, USA) for 40 min on wet ice in dark. Again, cells were washed thrice, harvested by centrifugation, and resuspended in flow cytometry buffer. The data (10,000 events) were acquired on BD FACS Canto II flow cytometer (BD Biosciences, San Jose, CA, USA). Mean fluorescence intensity (MFI) and staining index (SI) were determined and analyzed using BD FACSDivaTM Software 8 (BD Biosciences).
2.11. Western Blotting
THP-1 cells were harvested and lysed by incubation for 30 min with lysis buffer containing Tris (62.5 mM; pH 7.5), 1% Triton X-100, and 10% glycerol. Supernatants were collected by centrifuging cell lysates at 14,000 rpm for 10 min, and protein concentration was measured by using Quick Start Bradford-13 Dye Reagent and Bio-Rad protein assay kit (Hercules, CA, USA). Samples (20 μg) were mixed with loading buffer, heated at 95 °C for 5 min, and resolved by 12% SDS-PAGE. Fractionated proteins were electroblotted to an Immun-Blot PVDF membrane (Bio-Rad, Hercules, CA, USA) for transfer, blocked for 1h using 5% nonfat milk in PBS, and incubated at 4 °C overnight with primary Abs (1:100 dilution; Cell Signaling Technology Inc., Danvers, MA, USA) against p-C-Jun and p-NF-κB. Blots were washed four times with Tris buffered saline with 0.1% Tween 20 and incubated for 2 h with HRP-conjugated secondary antibody (Promega, Madison, WI, USA). Immunoreactive bands were developed using Amersham ECL Plus Western Blotting Detection System (GE Health Care, Buckinghamshire, UK) and visualized by Molecular Imager® VersaDoc™ MP Imaging Systems (Bio-Rad Laboratories, Irvine, CA, USA).
2.12. Statistical Analysis
Data are shown as mean ± SEM values and statistical analysis was performed using Prism 8.3.1 software (GraphPad Inc., San Diego, CA, USA). Group variances were compared by using one-way ANOVA and unpaired Student t-test was used to compare group means. All P-values < 0.05 were considered as significant.
3. Results
3.1. Increased MIP-1α Expression in THP-1 Cells and Primary Human Macrophages Co-Stimulated with Palmitate and TNF-α
The long chain, saturated fatty acid palmitate and the proinflammatory cytokine TNF-α are known to modulate several inflammatory signaling pathways. Elevated levels of these two agents and MIP-1α chemokine are co-expressed in obesity. We asked if palmitate and TNF-α could co-induce MIP-1α expression in THP-1 human monocytic cells and primary human macrophages. To this end, our data show that, relative to vehicle-treated control, MIP-1α gene expression was upregulated following treatment of THP-1 monocytic cells with palmitate (22.50 ± 1.33-fold) or TNF-α (25.10 ± 0.40-fold). Interestingly, co-stimulation of cells with palmitate and TNF-α induced a synergistic response with a 295.70 ± 3.78-fold increase in MIP-1α gene expression (Figure 1A). As expected, we also detected elevated concentrations of MIP-1α secreted protein in cell supernatants following treatment with palmitate (81.97 ± 0.26 pg/mL) or TNF-α (607.3 ± 0.78 pg/mL), compared to control (33.73 ± 1.85 pg/mL). However, co-stimulation of cells with palmitate and TNF-α led to a substantial increase in the levels of MIP-1α secreted protein in cell supernatants (1406.00 ± 5.23 pg/mL) (Figure 1B). Notably, similar data were obtained using primary human macrophages isolated from blood samples of three healthy donors. In this regard, solitary treatments of primary macrophages with palmitate and TNF-α-induced upregulated MIP-1α gene expression of 48.50 ± 7.50-fold and 119.00 ± 9.00-fold, respectively, compared to control. However, MIP-1α gene expression was upregulated by 182.50 ± 3.50-fold as macrophages were co-stimulated with palmitate and TNF-α (Figure 1C). Consistent with the changes in MIP-1α gene expression, elevated levels of MIP-1α secreted protein were also detected in supernatants as macrophage cultures were stimulated with palmitate (736.70 ± 0.94 pg/mL) or TNF-α (799.60 ± 1.10 pg/mL) compared to control (132.80 ± 17.33 pg/mL). Again, higher levels of MIP-1α secreted protein (1107.00 ± 21.01 pg/mL) were detected in supernatants as macrophages were co-stimulated with palmitate and TNF-α, compared to control (Figure 1D). In addition, a similar pattern of upregulation in MIP-1α secreted protein was observed as PBMC were co-stimulated with palmitate and TNF-α (245.70 ± 1.21 pg/mL) as compared to stimulation with either palmitate (69.40 ± 1.52 pg/mL) or TNF-α (148.50 ± 0.41 pg/mL) (Supplementary Figure S2). The intracellular expression of MIP-1α protein in THP-1 monocytic cells was also confirmed by flow cytometry. As expected, intracellular MIP-1α protein expression was remarkably higher in cells that were co-stimulated with palmitate and TNF-α (Staining Index “SI” = 148.56) compared to those stimulated with either palmitate (SI = 93.52) or TNF-α (SI = 85.39) (Figure 1E–G). MIP-1α protein expression co-induced by palmitate and TNF-α differed significantly from that induced by either palmitate or TNF-α alone (P = 0.003; Figure 1H). Taken together, MIP-1α expression is upregulated at the transcriptional and translational levels as THP-1 monocytic cells or primary macrophages are stimulated with either palmitate or TNF-α; however, co-stimulation with palmitate and TNF-α further drives the MIP-1α expression, indicating a cooperative effect between two agonistic stimuli.
3.2. MIP-1α Co-Induction by Palmitate and TNF-α Involves the TLR4-Mediated Signaling and Clathrin-Mediated Endocytosis (CME)
TLR4 activation can induce expression of MIP-1α and other chemokines in both mice and humans [21,32]. Given that, we speculated that TLR4 genetic ablation could lead to suppression of MIP-1α following stimulation with palmitate and TNF-α. To this end, as expected, co-stimulation of TLR4 siRNA-transfected monocytic cells with palmitate and TNF-α led to suppression of MIP-1α transcripts (mean decrease from 20.30-fold to 12.25-fold; P = 0.02), and MIP-1α secreted protein (mean decrease from 63.01 pg/mL to 15.59 pg/mL; P = 0.0002) as compared to respective controls transfected with scrambled siRNA (Figure 2A,B). These changes were concordant with a significant ablation of TLR4 (P = 0.02) in cells that were transfected with TLR4-specific siRNA (Supplementary Figure S3A). Next, we resorted to TLR4 receptor labeling with anti-TLR4 neutralizing antibody before the cells were co-stimulating with palmitate and TNF-α. Interestingly, our previous observations were recapitulated as the antibody-labeled cells displayed a drastic suppression of MIP-1α transcripts (mean decrease from 296.27 fold to 43.57 fold; P = 0.002) and MIP-1α secreted protein (mean decrease from 1359.85 pg/mL to 816.88 pg/mL; P = 0.01) compared to respective controls labeled with isotype-matched antibody instead (Figure 2C,D). These data were further validated as THP-1 cells were treated with a TLR4 inhibitor OxPAPC before co-stimulation with palmitate and TNF-α. As expected, OxPAPC-treated cells had a lower expression of MIP-1α transcripts (mean decrease from 741.20-fold to 294.70-fold; P = 0.0007) and MIP-1α secreted protein (mean decrease from 128.60 pg/mL to 65.15 pg/mL; P = 0.003) as compared to respective controls treated with vehicle only (Figure 2E,F).
Next, we investigated the role of non-canonical TRIF-dependent signaling associated with palmitate internalization via the CME. To this effect, THP-1 cells were treated with CME inhibitor CPZ before co-stimulation with palmitate and TNF-α. To this end, our data show that blocking CME reduced the cooperative induction of MIP-1α by palmitate and TNF-α as a lower expression of MIP-1α mRNA (mean decrease from 295.66-fold to 177.35-fold; P = 0.004) and MIP-1α secreted protein (mean decrease from 1406.41 pg/mL to 1135.91 pg/mL; P = 0.008) was observed in CPZ-treated cells as compared to vehicle-treated controls (Figure 3).
3.3. MIP-1α Co-Induced by Palmitate and TNF-α Involves the IRF3 Pathway
TLR4 downstream signaling following ligand binding is mediated by MyD88-dependent and MyD88-independent (TRIF/IRF3) pathways [33]. We asked whether the MIP-1α expression following co-stimulation with palmitate and TNF-α required MyD88- or IRF3-mediated signaling. To test the involvement of MyD88 adaptor protein, MyD88-null or THP1-XBlue™-defMyD cells were used and the lack of MyD88 did not abolish MIP-1α expression as cells were co-stimulated with palmitate and TNF-α (Figure 4A,B). In line with our previous data using MyD88-competent cells, increased levels of MIP-1α transcripts (mean increase from 92.16-fold to 919.90-fold; P < 0.0001) and MIP-1α secreted protein (mean increase from 416.40 pg/mL to 669.20 pg/mL; P < 0.0001) were observed using MyD88-null cells that were co-stimulated with palmitate and TNF-α as compared to controls treated with either palmitate or TNF-α, implicating that co-induction of MIP-1α by palmitate and TNF-α most likely involved the MyD88-independent (TRIF/IRF3) pathway. To test this, IRF3 was genetically ablated by transfecting THP-1 cells with IRF3-specific siRNA, which resulted in a significant suppression of IRF3 mRNA (Supplementary Figure S3B). As expected, co-stimulation of IRF3-ablated cells with palmitate and TNF-α led to a diminished expression of MIP-1α transcripts (mean decrease from 20.90-fold to 15.40-fold; P = 0.006) and MIP-1α secreted protein (mean decrease from 727.70 pg/mL to 277.70 pg/mL; P = 0.001) compared to scrambled siRNA controls (Figure 4C,D). Taken together, these data suggest that MIP-1α co-induced by palmitate and TNF-α in THP-1 cells involves the IRF3 pathway.
In addition to determining the effect of palmitate, which is a non-canonical TLR4 activator, we also tested for comparison the effect of a classical TLR4 agonist LPS on MIP-1α protein expression and the effect of palmitate on a classical TLR4-related cytokine IL-6. The representative data from three independent experiments with similar results showing the induction of MIP-1α mRNA and protein in THP-1 cells by palmitate, LPS, TNF-α, palmitate+TNF-α, and LPS+TNF-α are presented in Supplementary Figure S4. Similarly, the representative data from three independent experiments showing the induction of IL-6 mRNA and protein in THP-1 cells by stimulation with palmitate, LPS, TNF-α, palmitate+TNF-α, and LPS+TNF-α are presented in Supplementary Figure S5. These data collectively indicate that a canonical TLR4 activation by LPS resulting in MIP-1α expression is more potent than a non-canonical TLR4 activation by palmitate. As well, palmitate is less potent in inducing a classical TLR4 related cytokine IL-6 than the levels induced by LPS.
3.4. MIP-1α Co-Induced by Palmitate and TNF-α Involves Signaling Via c-Jun and NF-κB
To induce/promote inflammatory gene expression in monocytes/macrophages and other cells, TNF-α and palmitate activate the signal transduction by phosphorylating NF-κB and/or c-Jun N-terminal kinases (JNKs) [34]. To determine the involvement of c-Jun and NF-κB mediated signaling, THP-1 monocytic cells were stimulated with palmitate (200 μM for 1 h) and/or TNF-α (10 ng/mL for 10 min) and cell lysates were analyzed for expression of c-Jun and NF-κB phosphorylated and total proteins. As shown by western blotting (Figure 5A), co-stimulation of THP-1 cells with palmitate and TNF-α induced stronger phosphorylation of c-Jun (P = 0.03) and NF-κB (P = 0.002) as compared to individual treatments with palmitate or TNF-α (Figure 5B,C, respectively).
3.5. MIP-1α Expression Induced by Palmitate and/or TNF-α, in Presence or Absence of Oxidative Stress
Treatment of monocytes/macrophages and other cells with palmitate and/or TNF-α may induce oxidative stress in cells to various levels, depending on the type of cell, stimulus and length of exposure [35]. We wanted to compare ROS induction in THP-1 monocytic cells following treatments with a known ROS-inducer as well as with palmitate and/or TNF-α. To this effect, we induced ROS induction by treating THP-1 cells with H2O2 using the concentrations and protocol already optimized in our laboratory. In parallel, we also treated cells with palmitate and/or TNF-α and intracellular ROS expression was measured by DCFH-DA assay using flow cytometry. As expected, the data show induction of ROS following cell treatments with H2O2 (SI = 23.10), palmitate (SI = 5.89), TNF-α (SI = 2.73) and palmitate+TNF-α (SI = 33.86) (Figure 6A–D, respectively). The ROS induction by H2O2 was higher than either palmitate or TNF-α alone (P = 0.002); however, it was lower than that induced by co-stimulation with palmitate and TNF-α (P = 0.008) (Figure 6E). Next, cells were treated with palmitate and/or TNF-α, in presence or absence of H2O2, and MIP-1α gene expression was determined. MIP-1α mRNA expression was upregulated in cells that were treated with H2O2 alone (mean increase from 1.00 fold to 26.50 fold; P = 0.0002), H2O2 plus palmitate (mean increase from 4.50 fold to 43.00-fold; P < 0.0001), and H2O2 plus TNF-α (mean increase from 8.50-fold to 46.50-fold; P < 0.0001) compared to respective controls without H2O2. Further, levels of MIP-1α mRNA co-induced by palmitate and TNF-α, with H2O2 (60.67 ± 2.03-fold) or without H2O2 (63.00 ± 6.00-fold) differed non-significantly (P = 0.98) (Figure 6F). In agreement with gene expression, MIP-1α protein secretion was also amplified as THP-1 cells were treated with H2O2 alone (mean increase from 5.50 pg/mL to 292.80 pg/mL; P < 0.0001), H2O2 plus palmitate (mean increase from 107.60 pg/mL to 284.50 pg/mL; P < 0.0001), H2O2 plus TNF-α (mean increase from 306.90 pg/mL to 512.80 pg/mL; P < 0.0001), and H2O2 plus palmitate and TNF-α (mean increase from 700.70 pg/mL to 745.20 pg/mL; P = 0.002) (Figure 6G).
3.6. MIP-1α Induction by Oxidative Stress Is Counteracted by ROS/NF-κB Inhibitors
We next asked whether the ROS-driven MIP-1α expression in monocytic cells could be reduced by treatments with ROS and/or NF-κB inhibitors. To this end, we found that H2O2-induced MIP-1α protein expression in THP-1 cells was significantly reduced after treatment with NAC (302.20 ± 82.76 pg/mL; P = 0.002), apocynin (360.90 ± 107.50 pg/mL; P = 0.01), and curcumin (209.90 ± 46.27 pg/mL; P = 0.003) compared to controls treated with H2O2 only (682.30 ± 10.60 pg/mL) (Figure 7A).
To determine the effects of an inhibitor targeting both ROS and NF-κB, THP-1 cells were incubated with a stilbenoid called resveratrol (3,5,4′-trihydroxy-trans-stilbene) [36]. As expected, diminished expression of MIP-1α mRNA (mean decrease from 295.70-fold to 156.11-fold; P = 0.01) and MIP-1α secreted protein (mean decrease from 1406.80 pg/mL to 1169.00 pg/mL; P = 0.002) was observed in resveratrol-treated cells compared to vehicle-treated controls as both types of cells were co-stimulated with palmitate and TNF-α (Figure 7B,C, respectively).
Overall, our data suggest a “cooperativity model of MIP-1α amplification” in monocytic cells that are subjected to co-stimulation with palmitate, TNF-α, and ROS-mediated oxidative stress (Figure 8).
4. Discussion
Given that palmitate, TNF-α, and MIP-1α have emerged as critical players in metabolic inflammation, their elevated expression in obesity remains a significant concern, and it is unclear whether a cooperative interaction between palmitate and TNF-α can lead to upregulate MIP-1α levels in human monocytic cells and/or macrophages. In this study, we report two novel findings, to our knowledge, as follows. First, palmitate and TNF-α interact cooperatively to enhance the expression of MIP-1α in THP-1 monocytic cells or macrophages through the TLR4-IRF3 dependent mechanism. Second, ROS-mediated oxidative stress further amplifies this MIP-1α expression.
Palmitate activates inflammatory pathways in primary microvascular endothelial cells, impairs insulin signaling, and enhances monocytic transmigration [37]. TNF-α is also known to contribute to metabolic inflammation and insulin resistance, while in obesity, increased levels of TNF-α have been detected in adipose tissue and skeletal muscle together with infiltration of activated monocytes/macrophages [38]. Our data show that palmitate and TNF-α cooperativity induces MIP-1α expression in monocytic cells/macrophages which is consistent, at least in part, with findings of a previous study on CCL2 expression [15]. TLRs are emerging as nutrient sensors and palmitate and LPS act as TLR4 agonists [13,39]. Herein, we also show that the cooperativity between palmitate and TNF-α leading to MIP-1α expression was hinged on signaling through the TLR4 receptor. In this regard, we demonstrate that siRNA-mediated genetic ablation of TLR4 in human monocytic cells diminishes the expression of MIP-1α transcripts as well as MIP-1α secreted protein. We also show that TLR4 blocking by neutralizing antibody reduces the MIP-1α expression at both transcriptional and translational levels. Chemical inhibition of TLR4-mediated signaling by OxPAPC also obviates the co-induction of MIP-1α by palmitate and TNF-α. Thus, several lines of evidence lead to the finding that this cooperative induction of MIP-1α involves the TLR4-mediated signaling. This is in agreement, at least in part, with other reports indicating the involvement of TLR4 in palmitate-induced cytokine/chemokine expression in monocytic cells [21,40].
Proteins, metabolites, and hormones traffic across the cell membrane through assembly and maturation of clathrin-coated pits that gather the cargo as they invaginate and pinch off to form clathrin-coated vesicles during the CME. It is a major endocytic pathway in mammalian cells and a key regulatory mechanism for internalization and recycling of receptors that are engaged in nutrient uptake, signal transduction and synaptic vesicle reformation [41]. In this regard, our data show that MIP-1α expression co-induced by palmitate and TNF-α involves the CME pathway for TLR4 endocytic trafficking as MIP-1α expression was diminished in monocytic cells that were treated with chlorpromazine. This is corroborated by other studies showing that CME pathway is critical to TLR4-mediated signaling [42,43].
Of note, TLR4-downstream signaling may or may not involve MyD88 as an adaptor protein [44]. We next investigated whether or not the cooperative induction of MIP-1α by palmitate and TNF-α required MyD88. To this end, our data show that MIP-1α gene and protein expression was not abolished in MyD88-defective THP1-XBlue defMyD cells. On the contrary, MIP-1α transcripts and secreted protein were significantly diminished in IRF3-ablated cells following co-stimulation with palmitate and TNF-α. This implies that the cooperative expression of MIP-1α was IRF3-dependent; which is contrary to MyD88-dependent expression of MIP-1β in THP-1 cells [40]. The involvement of NF-κB/MAPK signaling pathways was indicated by hyperphosphorylation NF-κB and c-Jun signaling proteins as detected by western blotting. In agreement to this, TLR4 activation and downstream signaling is known to involve the NF-κB and MAPK pathways [45]. Similarly, TLR4 and/or TNF-αR agonists have been shown to activate the NF-κB/AP-1 mediated signaling [46]. In concordance with these reports, NF-κB/MAPK dependent expression of inflammatory cytokines/chemokines was demonstrated in monocytes, T-lymphocytes, alveolar macrophages, plasmacytoid dendritic cells, microglial cells, and chondrosarcoma cells [21,47].
ROS in living cells are normally produced during the activity of various cellular systems that are localized in the (1) plasma membrane (membrane-bound NADPH oxidases, cyclooxygenases, lipoxygenases); (2) cytosol (xanthine oxidase); (3) mitochondria (oxidative phosphorylation for ATP synthesis, by super oxide dismutase and oxidoreductases); (4) endoplasmic reticulum (microsomal cytochrome P450-dependent system, NADH cytochrome b5 reductase and desaturases, protein disulfide isomerase); (5) peroxisomes (fatty acid β- and α-oxidation, iNOS, peroxisomal and xanthine oxidases); and (6) lysosomes (acidic hydrolases). The cellular ROS generated by these diverse sources are tightly regulated by homeostatic mechanisms involving anti-oxidative enzymes, and this homeostasis is impaired under conditions of cellular stress, senescence, and disease. Oxidative stress by ROS plays as an early trigger of metabolic inflammation and related pathobiological changes. We, therefore, asked if the ROS-mediated oxidative stress could amplify MIP-1α levels after palmitate/TNF-α co-stimulation. Our data show that H2O2 treatment of monocytic cells upregulates the intracellular ROS expression and also amplifies the MIP-1α secreted protein in response to treatments with palmitate, TNF-α, or both. Mechanistically, ROS changes the redox state of nuclear proteins as well as activates transcriptional factors including c-Fos, c-Jun, and NF-κB/Rel [48]. Thus, H2O2 upregulates the expression of MIP-1α in human monocytic cells by acting as a second messenger. Similar changes in other chemokines including MCP-1, MIP-1β, and CXCL2 have been reported in murine macrophages [49]. In our study, ROS-mediated oxidative stress led to increased levels of MIP-1α mRNA and protein in THP-1 cells after treatment with palmitate or TNF-α. Nonetheless, MIP-1α protein, but not mRNA, was upregulated as cells were co-stimulated with H2O2, palmitate, and TNF-α. Regarding this discrepancy between MIP-1α protein and gene expression, we speculate that the changes in stability of mRNA transcripts and protein turnover rates may play a role in the regulation of proinflammatory genes. Given that, the changes in the turnover rates can influence the steady-state levels of mRNAs over time. In line with this argument, cellular growth rates were shown to impact the overall mRNA turnover which modulated the transcription or degradation rates of specific gene regulons [50]. In agreement with our data showing a ROS-driven MIP-1α amplification, MIP-2 expression was reported to be enhanced in a mouse model of oxidant stress [51].
Furthermore, we performed the inhibitory studies to test whether the ROS-induced MIP-1α expression in monocytic cells could be prevented by using ROS scavengers or antioxidants. To this effect, our data show a significant reduction in the MIP-1α expression after treatments with NAC, apocynin, and curcumin. NAC, a N-acetyl derivative of L-cysteine and a precursor of the reduced glutathione (GSH), acts as an antioxidant [52]. Apocynin is a NADPH oxidase (NOX) inhibitor and acts by scavenging the superoxide anion (O2−•), which is generated during the reduction of O2 by NOX in order to abate the oxidative stress and inflammation [53]. Curcumin, also known as diferuloylmethane (1,7-bis(4-hydroxy-3-methoxyphenyl)-1,6-heptadiene-3,5-dione), is a natural polyphenol found in the rhizome of Curcuma longa (turmeric) and is known to have antioxidant, antiinflammatory, antimicrobial, and antimutagenic or anticancer properties [54]. We further found that resveratrol, an inhibitor of several targets such as ROS, NF-κB, and mTOR, reduced the expression of MIP-1α at gene and protein levels. Our data indicating the suppression of MIP-1α with these agents are corroborated by other reports that also show the reduced inflammatory cytokines/chemokines and inflammation in relation to these substances [55,56]. Herein, we also show that a canonical TLR4 agonist LPS is more potent in inducing MIP-1α than a non-canonical inducer palmitate, whether alone or in combination with TNF-α. Overall, these observations underscore the role of ROS (oxidative stress) in metabolic inflammation through the induction of MIP-1α expression in THP-1 monocytic cells. However, our study involves minor caveats such as additional data regarding adipose MIP-1α expression in obesity was not addressed as well as monocytes/macrophage or neutrophil chemotaxis assay of MIP-1α was not performed. The future studies will include in vivo investigations to test whether the interventions including antioxidants or ROS scavengers can prevent or mitigate the inflammatory responses in metabolic disease setting such as obesity or type-2 diabetes.
In conclusion, our data show that palmitate and TNF-α co-induce MIP-1α expression in THP-1 monocytic cells or primary human macrophages. The underlying molecular mechanisms involve TLR4-IRF3/CME pathways and signaling via c-Jun/NFκB. Oxidative stress via ROS elevates the MIP-1α expression. Together, these findings support a “cooperativity model of MIP-1α amplification” hinged on co-stimulation with palmitate, TNF-α, and oxidative stress, which may have significance for metabolic inflammation.
Acknowledgments
We thank the volunteers for donating blood for the study.
Abbreviations
ATCC | American Type Culture Collection |
CME | Clathrin-mediated endocytosis |
CPZ | Chlorpromazine |
DCFH-DA | Dichloro-dihydro-fluorescein diacetate |
ELISA | Enzyme-linked immunosorbent assay |
FFAs | Free fatty acids |
GSH | Reduced glutathione |
H2O2 | Hydrogen peroxide |
IRF3 | Interferon regulatory factor-3 |
LPS | Lipopolysaccharide |
MFI | Mean fluorescence intensity |
MIP-1α | Macrophage inflammatory protein-1 |
MIPs | Macrophage inflammatory proteins |
MyD88 | Myeloid differentiation-88 |
NF-κB | Nuclear factor kappa-light-chain-enhancer of activated B cells |
NIK | NF-κB-inducing kinase |
NOX | NADPH oxidase |
O2–• | Superoxide anion |
OD | Optical density |
OxPAPC | Oxidized phospholipids such as 1-palmitoyl-2-arachidonyl-snglycero-3-phosphorylcholine |
PBMC | Peripheral blood mononuclear cells |
qRT-PCR | Quantitative reverse transcription, polymerase chain reaction |
RNS | Reactive nitrogen species |
ROS | Reactive oxygen species |
SI | Staining index |
TLR4 | Toll-like receptor |
TLRs | Toll-like receptors |
TNFR | TNF receptor |
TNF-α | Tumor necrosis factor-α |
TRAM | TRIF related adaptor molecule |
TRIF | TIR-domain-containing adapter-inducing interferon-β |
Supplementary Materials
The following are available online at https://www.mdpi.com/2073-4409/9/8/1799/s1, Figure S1: Viability of THP-1 cells treated with H2O2, Figure S2: Palmitate and TNF-α co induce MIP 1 α expression in the human peripheral blood mononuclear cells (PBMC), Figure S3: Genetic ablation of TLR4 and IRF3 in THP-1 monocytic cells, Figure S4: MIP-1α induction in THP-1 monocytic cells by canonical and non-canonical TLR4 activators, Figure S5: Comparative IL-6 induction by LPS and palmitate, in combination with TNF-α, in THP-1 monocytic cells.
Author Contributions
S.S. and R.A. were involved in conceptualization, acquisition of funding, supervision, data analysis, graphics preparation, and the manuscript write-up; N.A., A.W., and R.T. performed experiments, collected data and discussed results; H.A., A.A.M., and F.A.-M. were involved in technical discussions and edited the manuscript. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by grants (#RA-2014-016, RA AH 2016-007, and RA 2015-027) from the Kuwait Foundation for the Advancement of Sciences (KFAS).
Conflicts of Interest
The authors declare that there are no conflict of interest involved.
References
- 1.Alberti K.G., Zimmet P.Z. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: Diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet. Med. 1998;15:539–553. doi: 10.1002/(SICI)1096-9136(199807)15:7<539::AID-DIA668>3.0.CO;2-S. [DOI] [PubMed] [Google Scholar]
- 2.Marseglia L., Manti S., D’Angelo G., Nicotera A., Parisi E., Di Rosa G., Gitto E., Arrigo T. Oxidative stress in obesity: A critical component in human diseases. Int. J. Mol. Sci. 2014;16:378–400. doi: 10.3390/ijms16010378. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Fonseca-Alaniz M.H., Takada J., Alonso-Vale M.I., Lima F.B. Adipose tissue as an endocrine organ: From theory to practice. J. Pediatr. (Rio J.) 2007;83:S192–S203. doi: 10.1590/S0021-75572007000700011. [DOI] [PubMed] [Google Scholar]
- 4.Lavrovsky Y., Chatterjee B., Clark R.A., Roy A.K. Role of redox-regulated transcription factors in inflammation, aging and age-related diseases. Exp. Gerontol. 2000;35:521–532. doi: 10.1016/S0531-5565(00)00118-2. [DOI] [PubMed] [Google Scholar]
- 5.Ren M., Guo Q., Guo L., Lenz M., Qian F., Koenen R.R., Xu H., Schilling A.B., Weber C., Ye R.D., et al. Polymerization of MIP-1 chemokine (CCL3 and CCL4) and clearance of MIP-1 by insulin-degrading enzyme. EMBO J. 2010;29:3952–3966. doi: 10.1038/emboj.2010.256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Johnson E.A., Dao T.L., Guignet M.A., Geddes C.E., Koemeter-Cox A.I., Kan R.K. Increased expression of the chemokines CXCL1 and MIP-1alpha by resident brain cells precedes neutrophil infiltration in the brain following prolonged soman-induced status epilepticus in rats. J. Neuroinflamm. 2011;8:41. doi: 10.1186/1742-2094-8-41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Honey K. CCL3 and CCL4 actively recruit CD8+ T cells. Nat. Rev. Immunol. 2006;6:427. doi: 10.1038/nri1862. [DOI] [Google Scholar]
- 8.White G.E., Iqbal A.J., Greaves D.R. CC chemokine receptors and chronic inflammation--therapeutic opportunities and pharmacological challenges. Pharmacol. Rev. 2013;65:47–89. doi: 10.1124/pr.111.005074. [DOI] [PubMed] [Google Scholar]
- 9.Jordan L.A., Fenner B.F., Davies R., Harvey A.K., Choy E.H., Errington R., Bokarewa M., Williams A.S. 02.31 Targeted inhibition of macrophage inflammatory protein 1-alpha (ccl3) prevents pit formation by human osteoclasts and potently attenuates the erosion of bone in collagen-induced arthritis. Ann. Rheumat. Dis. 2017;76:A21. doi: 10.1136/annrheumdis-2016-211050.31. [DOI] [Google Scholar]
- 10.Amft N., Bowman S.J. Chemokines and cell trafficking in Sjogren’s syndrome. Scand. J. Immunol. 2001;54:62–69. doi: 10.1046/j.1365-3083.2001.00970.x. [DOI] [PubMed] [Google Scholar]
- 11.Ping D., Jones P.L., Boss J.M. TNF regulates the in vivo occupancy of both distal and proximal regulatory regions of the MCP-1/JE gene. Immunity. 1996;4:455–469. doi: 10.1016/S1074-7613(00)80412-4. [DOI] [PubMed] [Google Scholar]
- 12.Boden G. Obesity and free fatty acids. Endocrinol. Metab. Clin. N. Am. 2008;37:635–646. doi: 10.1016/j.ecl.2008.06.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Shi H., Kokoeva M.V., Inouye K., Tzameli I., Yin H., Flier J.S. TLR4 links innate immunity and fatty acid-induced insulin resistance. J. Clin. Invest. 2006;116:3015–3025. doi: 10.1172/JCI28898. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Maeshima N., Fernandez R.C. Recognition of lipid A variants by the TLR4-MD-2 receptor complex. Front. Cell Infect. Microbiol. 2013;3:3. doi: 10.3389/fcimb.2013.00003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Ahmad R., Al-Roub A., Kochumon S., Akther N., Thomas R., Kumari M., Koshy M.S., Tiss A., Hannun Y.A., Tuomilehto J., et al. The Synergy between Palmitate and TNF-alpha for CCL2 Production Is Dependent on the TRIF/IRF3 Pathway: Implications for Metabolic Inflammation. J. Immunol. 2018;200:3599–3611. doi: 10.4049/jimmunol.1701552. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Kawai T., Akira S. The role of pattern-recognition receptors in innate immunity: Update on Toll-like receptors. Nat. Immunol. 2010;11:373–384. doi: 10.1038/ni.1863. [DOI] [PubMed] [Google Scholar]
- 17.O’Dea E., Hoffmann A. The regulatory logic of the NF-kappaB signaling system. Cold Spring Harb. Perspect. Biol. 2010;2:a000216. doi: 10.1101/cshperspect.a000216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Brasier A.R. The NF-κB regulatory network. Cardiovasc. Toxicol. 2006;6:111–130. doi: 10.1385/CT:6:2:111. [DOI] [PubMed] [Google Scholar]
- 19.Zandi E., Chen Y., Karin M. Direct phosphorylation of IkappaB by IKKalpha and IKKbeta: Discrimination between free and NF-kappaB-bound substrate. Science. 1998;281:1360–1363. doi: 10.1126/science.281.5381.1360. [DOI] [PubMed] [Google Scholar]
- 20.Lyons C.L., Kennedy E.B., Roche H.M. Metabolic Inflammation-Differential Modulation by Dietary Constituents. Nutrients. 2016;8:247. doi: 10.3390/nu8050247. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ahmad R., Akhter N., Al-Roub A., Kochumon S., Wilson A., Thomas R., Ali S., Tuomilehto J., Sindhu S. MIP-1alpha Induction by Palmitate in the Human Monocytic Cells Implicates TLR4 Signaling Mechanism. Cell Physiol. Biochem. 2019;52:212–224. doi: 10.33594/000000015. [DOI] [PubMed] [Google Scholar]
- 22.Nieto-Vazquez I., Fernandez-Veledo S., Kramer D.K., Vila-Bedmar R., Garcia-Guerra L., Lorenzo M. Insulin resistance associated to obesity: The link TNF-alpha. Arch. Physiol. Biochem. 2008;114:183–194. doi: 10.1080/13813450802181047. [DOI] [PubMed] [Google Scholar]
- 23.Huber J., Kiefer F.W., Zeyda M., Ludvik B., Silberhumer G.R., Prager G., Zlabinger G.J., Stulnig T.M. CC chemokine and CC chemokine receptor profiles in visceral and subcutaneous adipose tissue are altered in human obesity. J. Clin. Endocrinol. Metab. 2008;93:3215–3221. doi: 10.1210/jc.2007-2630. [DOI] [PubMed] [Google Scholar]
- 24.Eltzschig H.K., Carmeliet P. Hypoxia and inflammation. N. Engl. J. Med. 2011;364:656–665. doi: 10.1056/NEJMra0910283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Biswas S.K. Does the Interdependence between Oxidative Stress and Inflammation Explain the Antioxidant Paradox? Oxid. Med. Cell Longev. 2016;2016:5698931. doi: 10.1155/2016/5698931. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Sindhu S.T., Ahmad R., Morisset R., Ahmad A., Menezes J. Peripheral blood cytotoxic gammadelta T lymphocytes from patients with human immunodeficiency virus type 1 infection and AIDS lyse uninfected CD4+ T cells, and their cytocidal potential correlates with viral load. J. Virol. 2003;77:1848–1855. doi: 10.1128/JVI.77.3.1848-1855.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Erridge C., Kennedy S., Spickett C.M., Webb D.J. Oxidized phospholipid inhibition of toll-like receptor (TLR) signaling is restricted to TLR2 and TLR4: Roles for CD14, LPS-binding protein, and MD2 as targets for specificity of inhibition. J. Biol. Chem. 2008;283:24748–24759. doi: 10.1074/jbc.M800352200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Inoue Y., Tanaka N., Tanaka Y., Inoue S., Morita K., Zhuang M., Hattori T., Sugamura K. Clathrin-dependent entry of severe acute respiratory syndrome coronavirus into target cells expressing ACE2 with the cytoplasmic tail deleted. J. Virol. 2007;81:8722–8729. doi: 10.1128/JVI.00253-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Sindhu S., Akhter N., Kochumon S., Thomas R., Wilson A., Shenouda S., Tuomilehto J., Ahmad R. Increased Expression of the Innate Immune Receptor TLR10 in Obesity and Type-2 Diabetes: Association with ROS-Mediated Oxidative Stress. Cell. Physiol. Biochem. 2018;45:572–590. doi: 10.1159/000487034. [DOI] [PubMed] [Google Scholar]
- 30.Britton R.G., Kovoor C., Brown K. Direct molecular targets of resveratrol: Identifying key interactions to unlock complex mechanisms. Ann. N. Y. Acad. Sci. 2015;1348:124–133. doi: 10.1111/nyas.12796. [DOI] [PubMed] [Google Scholar]
- 31.Kulkarni S.S., Canto C. The molecular targets of resveratrol. Biochim. Biophys. Acta. 2015;1852:1114–1123. doi: 10.1016/j.bbadis.2014.10.005. [DOI] [PubMed] [Google Scholar]
- 32.Masuda T., Deng X., Tamai R. Mouse macrophages primed with alendronate down-regulate monocyte chemoattractant protein-1 (MCP-1) and macrophage inflammatory protein-1alpha (MIP-1alpha) production in response to Toll-like receptor (TLR) 2 and TLR4 agonist via Smad3 activation. Int. Immunopharmacol. 2009;9:1115–1121. doi: 10.1016/j.intimp.2009.05.010. [DOI] [PubMed] [Google Scholar]
- 33.Kumari M., Wang X., Lantier L., Lyubetskaya A., Eguchi J., Kang S., Tenen D., Roh H.C., Kong X., Kazak L., et al. IRF3 promotes adipose inflammation and insulin resistance and represses browning. J. Clin. Investig. 2016;126:2839–2854. doi: 10.1172/JCI86080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Haridas V., Shrivastava A., Su J., Yu G.L., Ni J., Liu D., Chen S.F., Ni Y., Ruben S.M., Gentz R., et al. VEGI, a new member of the TNF family activates nuclear factor-kappa B and c-Jun N-terminal kinase and modulates cell growth. Oncogene. 1999;18:6496–6504. doi: 10.1038/sj.onc.1203059. [DOI] [PubMed] [Google Scholar]
- 35.Ly L.D., Xu S., Choi S.K., Ha C.M., Thoudam T., Cha S.K., Wiederkehr A., Wollheim C.B., Lee I.K., Park K.S. Oxidative stress and calcium dysregulation by palmitate in type 2 diabetes. Exp. Mol. Med. 2017;49:e291. doi: 10.1038/emm.2016.157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Ren Z., Wang L., Cui J., Huoc Z., Xue J., Cui H., Mao Q., Yang R. Resveratrol inhibits NF-kB signaling through suppression of p65 and IkappaB kinase activities. Pharmazie. 2013;68:689–694. [PubMed] [Google Scholar]
- 37.Pillon N.J., Azizi P.M., Li Y.E., Liu J., Wang C., Chan K.L., Hopperton K.E., Bazinet R.P., Heit B., Bilan P.J., et al. Palmitate-induced inflammatory pathways in human adipose microvascular endothelial cells promote monocyte adhesion and impair insulin transcytosis. Am. J. Physiol. Endocrinol. Metab. 2015;309:E35–E44. doi: 10.1152/ajpendo.00611.2014. [DOI] [PubMed] [Google Scholar]
- 38.Tzanavari T., Giannogonas P., Karalis K.P. TNF-alpha and obesity. Curr. Dir. Autoimmun. 2010;11:145–156. doi: 10.1159/000289203. [DOI] [PubMed] [Google Scholar]
- 39.Chow J.C., Young D.W., Golenbock D.T., Christ W.J., Gusovsky F. Toll-like receptor-4 mediates lipopolysaccharide-induced signal transduction. J. Biol.Chem. 1999;274:10689–10692. doi: 10.1074/jbc.274.16.10689. [DOI] [PubMed] [Google Scholar]
- 40.Sindhu S., Kochumon S., Shenouda S., Wilson A., Al-Mulla F., Ahmad R. The Cooperative Induction of CCL4 in Human Monocytic Cells by TNF-alpha and Palmitate Requires MyD88 and Involves MAPK/NF-kappaB Signaling Pathways. Int. J. Mol. Sci. 2019;20:4658. doi: 10.3390/ijms20184658. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Takei K., Haucke V. Clathrin-mediated endocytosis: Membrane factors pull the trigger. Trends Cell Biol. 2001;11:385–391. doi: 10.1016/S0962-8924(01)02082-7. [DOI] [PubMed] [Google Scholar]
- 42.Tatematsu M., Yoshida R., Morioka Y., Ishii N., Funami K., Watanabe A., Saeki K., Seya T., Matsumoto M. Raftlin Controls Lipopolysaccharide-Induced TLR4 Internalization and TICAM-1 Signaling in a Cell Type-Specific Manner. J. Immunol. 2016;196:3865–3876. doi: 10.4049/jimmunol.1501734. [DOI] [PubMed] [Google Scholar]
- 43.Husebye H., Halaas O., Stenmark H., Tunheim G., Sandanger O., Bogen B., Brech A., Latz E., Espevik T. Endocytic pathways regulate Toll-like receptor 4 signaling and link innate and adaptive immunity. EMBO J. 2006;25:683–692. doi: 10.1038/sj.emboj.7600991. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Kawasaki T., Kawai T. Toll-like receptor signaling pathways. Front. Immunol. 2014;5:461. doi: 10.3389/fimmu.2014.00461. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Kuper C., Beck F.X., Neuhofer W. Toll-like receptor 4 activates NF-kappaB and MAP kinase pathways to regulate expression of proinflammatory COX-2 in renal medullary collecting duct cells. Am. J. Physiol. Renal Physiol. 2012;302:F38–F46. doi: 10.1152/ajprenal.00590.2010. [DOI] [PubMed] [Google Scholar]
- 46.Akhter N., Hasan A., Shenouda S., Wilson A., Kochumon S., Ali S., Tuomilehto J., Sindhu S., Ahmad R. TLR4/MyD88 -mediated CCL2 production by lipopolysaccharide (endotoxin): Implications for metabolic inflammation. J. Diabetes Metab. Disord. 2018;17:77–84. doi: 10.1007/s40200-018-0341-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Medeiros M.C., Frasnelli S.C., Bastos Ade S., Orrico S.R., Rossa C., Jr. Modulation of cell proliferation, survival and gene expression by RAGE and TLR signaling in cells of the innate and adaptive immune response: Role of p38 MAPK and NF-KB. J. Appl. Oral Sci. 2014;22:185–193. doi: 10.1590/1678-775720130593. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Abate C., Patel L., Rauscher F.J., 3rd, Curran T. Redox regulation of fos and jun DNA-binding activity in vitro. Science. 1990;249:1157–1161. doi: 10.1126/science.2118682. [DOI] [PubMed] [Google Scholar]
- 49.Jaramillo M., Olivier M. Hydrogen peroxide induces murine macrophage chemokine gene transcription via extracellular signal-regulated kinase- and cyclic adenosine 5’-monophosphate (cAMP)-dependent pathways: Involvement of NF-kappa B, activator protein 1, and cAMP response element binding protein. J. Immunol. 2002;169:7026–7038. doi: 10.4049/jimmunol.169.12.7026. [DOI] [PubMed] [Google Scholar]
- 50.Garcia-Martinez J., Delgado-Ramos L., Ayala G., Pelechano V., Medina D.A., Carrasco F., Gonzalez R., Andres-Leon E., Steinmetz L., Warringer J., et al. The cellular growth rate controls overall mRNA turnover, and modulates either transcription or degradation rates of particular gene regulons. Nucleic Acids Res. 2016;44:3643–3658. doi: 10.1093/nar/gkv1512. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Driscoll K.E., Simpson L., Carter J., Hassenbein D., Leikauf G.D. Ozone inhalation stimulates expression of a neutrophil chemotactic protein, macrophage inflammatory protein 2. Toxicol. Appl. Pharmacol. 1993;119:306–309. doi: 10.1006/taap.1993.1074. [DOI] [PubMed] [Google Scholar]
- 52.Aldini G., Altomare A., Baron G., Vistoli G., Carini M., Borsani L., Sergio F. N-Acetylcysteine as an antioxidant and disulphide breaking agent: The reasons why. Free Radic. Res. 2018;52:751–762. doi: 10.1080/10715762.2018.1468564. [DOI] [PubMed] [Google Scholar]
- 53.Tanriverdi L.H., Parlakpinar H., Ozhan O., Ermis N., Polat A., Vardi N., Tanbek K., Yildiz A., Acet A. Inhibition of NADPH oxidase by apocynin promotes myocardial antioxidant response and prevents isoproterenol-induced myocardial oxidative stress in rats. Free Radic. Res. 2017;51:772–786. doi: 10.1080/10715762.2017.1375486. [DOI] [PubMed] [Google Scholar]
- 54.Lestari M.L., Indrayanto G. Curcumin. Profiles Drug Subst. Excip. Relat. Methodol. 2014;39:113–204. doi: 10.1016/B978-0-12-800173-8.00003-9. [DOI] [PubMed] [Google Scholar]
- 55.Odewumi C.O., Latinwo L.M., Ruden M.L., Badisa V.L., Fils-Aime S., Badisa R.B. Modulation of cytokines and chemokines expression by NAC in cadmium chloride treated human lung cells. Environ. Toxicol. 2016;31:1612–1619. doi: 10.1002/tox.22165. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Wuyts W.A., Vanaudenaerde B.M., Dupont L.J., Demedts M.G., Verleden G.M. N-acetylcysteine reduces chemokine release via inhibition of p38 MAPK in human airway smooth muscle cells. Eur. Respir. J. 2003;22:43–49. doi: 10.1183/09031936.03.00064803. [DOI] [PubMed] [Google Scholar]
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