Abstract
Eicosanoids are cellular metabolites, which shape the immune response, including inflammatory processes in macrophages. The effects of these lipid mediators on inflammation and bacterial pathogenesis are not clearly understood. Certain eicosanoids are suspected to act as molecular sensors for the recruitment of neutrophils, while others regulate bacterial uptake. In this study, gene expression analyses indicated that genes involved in eicosanoid biosynthesis including COX-1, COX-2, DAGL, and PLA-2 are differentially regulated in THP-1 human macrophages infected with Salmonella enterica Typhimurium or Yersinia enterocolitica. By using targeted metabolomics approach, we found that the eicosanoid precursor, arachidonic acid (AA) as well as its derivatives, including prostaglandins (PGs) PGF2α or PGE2/PGD2, and thromboxane TxB2, are rapidly secreted from macrophages infected with these Gram-negative pathogenic bacteria. The magnitude of eicosanoid biosynthesis in infected host cells depends on the presence of virulence factors of Y. enterocolitica and S. Typhimurium strains, albeit in an opposite way in Y. enterocolitica compared to S. Typhimurium infection. Trials with combinations of EP2/EP4 PGE2 receptor agonists and antagonists suggest that PGE2 signaling in these infection models works primarily through the EP4 receptor. Downstream of EP4 activation, PGE2 enhances inflammasome activation and represses M2 macrophage polarization while inducing key M1-type markers. PGE2 also led to a decreased numbers of Y. enterocolitica within macrophages. To summarize, PGE2 is a potent autocrine/paracrine activator of inflammation during infection in Gram-negative bacteria, and it affects macrophage polarization, likely controlling bacterial clearance by macrophages.
Keywords: eicosanoids, Yersinia enterocolitica, Salmonella enterica Typhimurium, inflammasome, macrophage polarization
Introduction
Salmonella enterica Typhimurium (S. Typhimurium) and Yersinia enterocolitica are Gram-negative bacteria and significant causative agents of foodborne infections arising from contaminated food sources. Societal costs of S. Typhimurium and Y. enterocolitica infections account for several billion US dollars annually (Scharff, 2012; Hoffmann and Anekwe, 2013). Innate immune responses play an essential role in the host response to S. Typhimurium infection, but many details remain unanswered, such as how host metabolites activate the innate immune responses for bacterial clearance. Metabolomic studies identified changes in host metabolites upon S. Typhimurium infection, suggesting that metabolites of one of the groups, eicosanoids are elevated during infection in a murine model (Antunes et al., 2011; Deatherage Kaiser et al., 2013). The eicosanoid pathway (Figure 1), which depends on the activity of cyclooxygenase (COX) enzymes (Tanioka et al., 2000), is known to be affected by infections with bacterial pathogens (Antunes et al., 2011; Deatherage Kaiser et al., 2013; Alugubelly et al., 2016). For instance, COX-2 is upregulated in murine macrophages infected with S. Typhimurium, which depends on the presence of the Salmonella Pathogenicity Island-2 (SPI-2) SpiC protein (Uchiya and Nikai, 2004). Furthermore, a metabolic profiling study in animal tissue identified upregulation of the PGD2 metabolite 15-deoxy-Δ12,14-PGJ2 upon Salmonella infection (Antunes et al., 2011). This eicosanoid was shown to successfully prevent bacterial colonization during Salmonella infection of mouse and human macrophages (Buckner et al., 2013). Following activation of the enzymes responsible for eicosanoid biosynthesis, these metabolites can either trigger or prevent immune responses (Funk, 2001). For instance, prostaglandins, leukotrienes, and 15-hydroxyeicosatrienoic acid (HETE), 15-HETE, and 12-HETE are rapidly produced during the activation of inflammasome (von Moltke et al., 2012; Rauch et al., 2017). Eicosanoids are also involved in neutrophil recruitment, for instance, leukotriene LTB4 serves as a chemoattractant for these cells (Lämmermann et al., 2013; Tyrkalska et al., 2016). Finally, prostaglandin E2 (PGE2) is involved in gut wound repair (Jackstadt and Sansom, 2017; Zhuang et al., 2017) and is released upon inflammasome activation (von Moltke et al., 2012; Dennis and Norris, 2015). However, the function of eicosanoids such as PGE2 in inflammasome activation remains controversial, and their role in the clearance of Gram-negative infections by phagocytic cells remains vastly unknown. Considering the variety of processes mediated by PGE2 and other eicosanoids in different physiological models, our goal was to determine the function of these bioactive lipids in human macrophages in response to S. Typhimurium and Y. enterocolitica infections. S. Typhimurium infection leads to an inflammasome activation in infected macrophages, which is controlled by Salmonella Pathogenicity 1 and 2 (SPI-1 and SPI-2) effectors.
By contrast, the protein effectors encoded within the virulence plasmid of Y. enterocolitica prevent inflammasome formation and support bacterial survival within the macrophage (Brodsky et al., 2010). Deletion of a virulence plasmid from Y. enterocolitica leads to an increased release of eicosanoids from infected macrophages while impairment of SPI-2 in S. Typhimurium causes an attenuation of eicosanoid release from macrophages in comparison to the wild-type (wt) S. Typhimurium infection. One of these eicosanoids which were increasingly released from macrophages infected with S. Typhimurium or Y. enterocolitica was PGE2. We showed that PGE2 leads to an increased IL-1β production and release from macrophages via EP4- and EP2 receptor signaling pathways. We also demonstrate that PGE2 increases specific pro-inflammatory cytokines relevant to infection and characteristics of M1 phenotype (mainly IL-1β and IL-23/17) while shifting polarization away from the M2 phenotype. Finally, we show that PGE2 affects the number of Y. enterocolitica within macrophages.
Materials and Methods
Cell Culture Conditions
THP-1 monocytic cells (ATCC # TIB-202, ATCC, United States) were cultured in RPMI 1640 (Gibco, Life Technologies Inc., United States) supplemented with 10% fetal bovine serum (FBS), 2 mM Glutamax (Gibco, Life Technologies Inc., United States), and 100 μg/mL penicillin/streptomycin (Life Technologies Inc., United States) in a humidified atmosphere of 5% CO2 at 37°C. For activation and differentiation of THP-1 cells into macrophages, phorbol 12-myristate 13-acetate (PMA; Sigma-Aldrich, United States) was used (100 nM), and cells were incubated for 24 h. This particular cell line has been chosen because it has already been well characterized in the Y. enterocolitica and S. enterica infection models (Winter et al., 2015; Chung et al., 2016). For instance, the level of IL-1β secretion has been shown to be comparable to the one obtained in human peripheral blood mononuclear cells, which is relevant since in our study we are particularly interested in the inflammasome activity (Chung et al., 2016).
Salmonella enterica serovar Typhimurium wt ATCC 14028 and isogenic ΔssaV mutant [a generous gift from Dr. David Holden (Beuzón et al., 2000)], or S. Typhimurium UK-1 χ3761 wt and its isogenic mutants (gifts from Dr. Roy Curtiss III and Qingke Kong, University of Florida; Table 1), were cultured in LB at 37°C at 200 rpm (MaxQ 4450 incubator, Thermo Scientific, United States). Overnight cultures were split to achieve OD600 = 0.05 and cultured using the same conditions until OD600 reached 0.5 (early exponential phase), centrifuged at 5,000 × g, washed with phosphate-buffered saline (PBS) and resuspended in cell culture medium for infections.
Table 1.
Strain | Phenotype/genotype | Reference |
---|---|---|
Salmonella enterica ser. Typhimurium ATCC 14028 wt | wt | Beuzón et al., 2000 |
Salmonella enterica ser. Typhimurium ATCC 14028 ΔssaV | Impaired SPI-2 | Beuzón et al., 2000 |
Salmonella enterica ser. Typhimurium UK-1 x3761 wt | wt | Hassan and Curtiss, 1990 |
Salmonella enterica ser. Typhimurium UK-1 x11754 | ΔaroA | Kong et al., 2011 |
Salmonella enterica ser. Typhimurium UK-1 x11312 | Rough LPS, ΔwaaL46 | Kong et al., 2011 |
Salmonella enterica ser. Typhimurium UK-1 x12253 | Rough LPS, ΔwaaC41 | Liu et al., 2016 |
Yersinia enterocolitica 8081 pYV wt | wt | Portnoy et al., 1981 |
Yersinia enterocolitica 8081c | Deletion of a virulence plasmid | Portnoy et al., 1981 |
Yersinia enterocolitica 8081 wt (pYV) and its isogenic virulence plasmid-cured mutant (8081c) strain [a generous gift from Dr. James Bliska (Portnoy et al., 1981); Table 1] were grown in LB overnight (18 h) at 27°C. The culture was diluted as above to achieve OD600 0.05 and incubated at 27°C for approximately 2 h until OD600 reached 0.25. The temperature was then changed to 37°C to activate the type three secretion system (TTSS), and bacteria were grown until OD600 reached 0.5, centrifuged at 5,000 × g. Bacteria were centrifuged at 5,000 × g, washed with PBS, and resuspended in cell culture medium for infections.
Infections and Inflammasome Activation
THP-1-derived macrophages were washed with PBS and incubated in RPMI media containing 10% FBS and no antibiotics for 60 min before infection. Bacteria were also washed with PBS, resuspended in RPMI media containing 10% FBS, and used to infect cells (MOI of 50:1) for times indicated in figures, after which the cell culture supernatant and cells were collected, centrifuged once to remove bacteria, and then the supernatant was recovered. The uninfected control cells were treated in the same way as the infected cells, but no bacteria were added.
THP-1 cells were incubated with S. Typhimurium lipopolysaccharide (LPS) [(1 μg/ml); Sigma-Aldrich] for 4 h, followed by treatment with nigericin (10 μM) for 1 h, similarly as published previously (Kummari et al., 2015) to activate inflammasome. In cells treated with a UCH-L5/USP14 inhibitor, the THP-1 macrophages were treated with (1 μM) b-AP15 (or vehicle control, DMSO added at equal volume to a final concentration of 0.01% v/v) for 15 min, followed by 2-h infection with S. Typhimurium (MOI 50:1).
Transcript Analysis by RT-qPCR
RNA was extracted from cells by using Qiagen RNeasy Mini Plus extraction kit. Next, cDNA was generated using Maxima First Strand cDNA synthesis kit (Thermo Fisher) and expression of genes COX-1, COX-2, DAGL, MGGL (MAGL), PLA-2, and TXBSA was measured by using two-step quantitative real-time polymerase chain reaction (RT-qPCR), performed on a Stratagene MXP3005 using SYBRGreen reagents (Bio-Rad). Fold change in gene expression was estimated by using the ΔΔCt method, and statistical significance was determined as previously described (Schmittgen and Livak, 2008). For analysis of mRNA levels of PGE2 receptors, SOCS3, MRS1, and COX-2, RNA was extracted from cells by using a PureLink RNA Mini Kit (Thermo Fisher). The cDNA was synthesized using a Bio-Rad iScript cDNA Synthesis Kit and expression of genes encoding EP1, EP2, EP3, and EP4 was measured as stated above on a Bio-Rad CFX96 Real-Time System. Fold change and statistical significance were determined (Schmittgen and Livak, 2008), and the expression data were normalized to the expression of RPL37A. Primers used for the study were validated bioinformatically and by using melt curve analysis (Table 2). Additionally, we performed western blotting by using antibodies raised against select proteins (anti-COX-2 and anti-PLA-2, Santa Cruz Biotechnology, United States).
Table 2.
Oligo name | Sequence |
---|---|
Human EP1 forward | ATGGTGGGCCAGCTTGTC |
Human EP1 reverse | GCCACCAACACCAGCATTG |
Human EP2 forward | CTGCTGCTGCTTCTCATTGT |
Human EP2 reverse | ATGCGGATGAGGTTGAGAAT |
Human EP3 forward | GGTCTCCGCTCCTGATAATG |
Human EP3 reverse | CTCCGTGTGTGTCTTGCAGT |
Human EP4 forward | CGACCTTCTACACGCTGGTATG |
Human EP4 reverse | CCGGGCTCACCAACAAAG |
Human MSR1 forward | CCGGAAGGCCAGGAAATTCT |
Human MSR1 reverse | CCACCGACCAGTCGAACTTT |
Human SOCS3 forward | ATTCGGGACCAGCCCCC |
Human SOCS3 reverse | AACTTGCTGTGGGTGACCAT |
Human MRC1 forward | CGATCCGACCCTTCCTTGAC |
Human MRC1 reverse | TGTCTCCGCTTCATGCCATT |
Human TGM2 forward | ATAAGTTAGCGCCGCTCTCC |
Human TGM2 reverse | ACCAGCTCCTCGGCCAT |
Human MSR1 forward | CCGGAAGGCCAGGAAATTCT |
Human MSR1 reverse | CCACCGACCAGTCGAACTTT |
Human MCP1 forward | CGCTCAGCCAGATGCAATCAA |
Human MCP1 reverse | GACACTTGCTGCTGGTGATTC |
Human iNOS forward | TCCCGAAGTTCTCAAGGCAC |
Human iNOS reverse | TTCTTCACTGTGGGGCTTGC |
Human SOCS3 forward | ATTCGGGACCAGCCCCC |
Human SOCS3 reverse | AACTTGCTGTGGGTGACCAT |
Human HPRT1 forward | CCCTGGCGTCGTGATTAGT |
Human HPRT1 reverse | TCTCGAGCAAGACGTTCAGT |
Human TBP forward | AGTGACCCAGCATCACTGTTT |
Human TBP reverse | GAGCATCTCCAGCACACTCT |
Human RPL37A forward | ATTGAAATCAGCCAGCACGC |
Human RPL37A reverse | AGGAACCACAGTGCCAGATCC |
Human GAPDH forward | AAGGTGAAGGTCGGAGTCAACG |
Human GAPDH reverse | CCTTCTCCATGGTGGTGAAGAC |
Human CD200R forward | ATGCTCTGCCCTTGGAGAAC |
Human CD200R reverse | CTCCGCTTCGGCCACTAA |
Human CCL17 forward | AGGGAGCCATTCCCCTTAGA |
Human CCL17 reverse | GCACAGTTACAAAAACGATGGC |
Human MMP12 forward | AACCAACGCTTGCCAAATCC |
Human MMP12 reverse | CCTTCAGCCAGAAGAACCTGT |
Human NOX2 forward | TTCACTCTGCGATTCACACCA |
Human NOX2 reverse | CGGGCATTCACACACCATTC |
Human IL-1b forward | TGAGCTCGCCAGTGAAATGA |
Human IL-1b reverse | AGATTCGTAGCTGGATGCCG |
Human IL-12B forward | GCCCAGAGCAAGATGTGTCA |
Human IL-12B reverse | CACCATTTCTCCAGGGGCAT |
Extraction of Media for Eicosanoid Analysis
Hypersep Retain Pep columns (Thermo Scientific, United States) were used to extract eicosanoids from the media. The columns were first activated with ethyl acetate and methanol, and then equilibrated with 95:5 water:methanol containing 0.1% acetic acid. The cell culture supernatants were added to the column along with PGF2α-d4, AA-d8, and 2AG-d8 as internal standards. The column was washed with 95:5 water:methanol containing 0.1% acetic acid and the eicosanoids were eluted in methanol and ethyl acetate and dried under nitrogen. The dried precipitate was dissolved in 1:1 methanol:water and used for eicosanoid analysis.
Eicosanoid Analysis by Triple Quadrupole Mass Spectrometry
The media extracts were analyzed by targeted metabolomics approach for AA, PGF2α, PGE2, PGD2, and TXB2. Acquity UPLC system (Waters, Milford, MA, United States) coupled to a TSQ Quantum Access triple-quadrupole tandem mass spectrometer equipped with a heated electrospray (H-ESI) source (Thermo Fisher Scientific, San Jose, CA, United States) was used for metabolomics studies. Chromatographic separation was carried out using an Acquity UPLC BEH C18 column (2.1 mm × 100 mm, 1.7 μm) equipped with a VanGuard precolumn (2.1 mm × 5 mm, 1.7 μm) at 40°C using a column oven and 10 μL of samples were injected into the system. The mobile phases used were water with 0.1% acetic acid (A) and methanol with 0.1% acetic acid (B). Mobile phage gradient conditions were as follows: hold at 85% A and 15% B for 1 min, linear increase of B to 80% in 11 min, hold at 80% B for 1 min, increase of B to 100% in 0.5 min, hold at 100% for 1.5 min, decrease of B to 15% in 0.5 min and equilibrate for 4.5 min at the starting conditions. The overall run time was 20 min, and the flow rate was 0.2 mL/min. The eluate from the LC was directly electrosprayed into mass spectrometer using an electrospray ionization interface in negative mode. MS conditions were set as follows: spray voltage = 4000 V, vaporizer temperature = 400°C, sheath gas = 25 psi, auxiliary gas = 2 psi, and capillary temperature = 320°C. Samples were run in selected reaction monitoring (SRM) mode and precursor-to-product ion transitions m/z 303.2 →m/z 259.3 for AA, m/z 353.2 →m/z 193.2 for PGF2α, m/z 351.3 →m/z 271.2 for PGE and PGD2, and m/z 369.2 →m/z 169.1 for TXB2. Internal standards included m/z 311.2 →m/z 267.2 for AA-d8 and m/z 357.3 → m/z 197.2 for 8-iso-PGF2α-d4, which were used to quantify the amounts of AA and PGs. Scan time was 0.2 s per SRM, and the scan width was m/z 0.01. Optimum collision energy and S-lenses conditions were determined for each compound by using auto-tune software for each analyte by post-column infusion of the individual compounds into a 50% A/50% B blend of the mobile phase being pumped at a flow rate of 0.2 mL/min. Xcalibur software was employed for data acquisition and processing.
Quantification of PGE2 by ELISA
Prostaglandin E2 ELISA-monoclonal (Item No. 514010, Cayman Chemical Company, United States) was performed for quantification of PGE2 in cell culture supernatants per the manufacturer’s recommendations. The plate was read by using a Cytation3 imaging plate reader (BioTek, VT, United States).
Treatment With EP2 and EP4 Receptor Agonists/Antagonists and yVAD-CHO
A total of 250,000 THP-1 cells per well were seeded in 24-well plates and differentiated for 24 h by using PMA (100 nM). One hour before infection, cells were washed, and complete cell culture medium lacking antibiotics were added, which were supplemented with EP4/EP2 receptor agonists/antagonists or appropriate vehicle control (EtOH and DMSO, depending on the treatment). The following EP2 or EP4 agonists and antagonists were used: PGE2 [(2 μM) or as indicated], EP2 receptor agonist Butaprost (10 μM), EP2 receptor antagonist PF-04418948 (200 nM), EP4 receptor agonist L902,688 (1 μM), EP4 receptor antagonist L-161,982 (200 nM), and YVAD-CHO (1 μM). All chemicals, including PGE2, were purchased from Cayman Chemicals (MI, United States). Following the treatment, cells were infected with S. Typhimurium or Y. enterocolitica at an MOI of 50:1 for 2 h or as indicated. The cell supernatant was centrifuged at 500 × g for 5 min, and IL-1β was quantified in the supernatant by using ELISA (R&D Systems). Cytotoxicity was measured by using the LDH assay (Thermo Scientific) which was performed according to the manufacturer’s instruction.
Gentamicin Protection Assay
THP-1-derived macrophages were treated with PGE2 or vehicle control (ethanol, 0.01% v/v). PGE2 or vehicle control was added to complete RPMI cell culture medium lacking antibiotics 2 h before infection with Salmonella Typhimurium (MOI of 50:1). Thirty minutes post-infection, media were removed, and cells were washed twice with PBS to remove extracellular bacteria. RPMI media lacking antibiotics supplemented with gentamicin (100 μg/mL), +/-PGE2 were added onto cells, and cells were incubated further. Two hours post-infection (hpi), media were removed again, cells washed twice with PBS, and resuspended in media containing a lower concentration of gentamicin (10 μg/mL) for the remainder of the infection. At the indicated time points, cells were washed, lysed with 0.1% Triton-X, diluted in sterile PBS, and plated on LB plates for CFU counts. A similar protocol was performed for Y. enterocolitica infection, based on our past work (Edelmann et al., 2010; Alugubelly et al., 2016).
Confocal Microscopy
THP-1 macrophages (1.5 × 106) were pre-treated with PGE2 (2 μM) or equal (v/v %) concentration of vehicle control (ethanol; final concentration was 0.01%) for 2 h prior to infection with wt S. Typhimurium (MOI of 50:1, 48 hpi). Cells were fixed, permeabilized, and stained for the actin cytoskeleton (ActinRed 555) and nucleus (DAPI stain). The cells were visualized by using a Confocal Zeiss LSM800 microscope and data were analyzed using Zen (Blue Edition) software. The polarization of cells was determined by measuring cell dimensions since the elongation of human macrophages indicates their M1 type polarization (Zajac et al., 2013). Elongated cells were determined as having a length to diameter ratio of at least 2:1. Approximately 150 cells were counted across five biological replicates for each treatment.
Statistical Analysis
Statistical analysis was performed by using GraphPad Prism. Student’s t-test was used with a 95% confidence interval (minimum acceptable p-value was 0.05). Alternatively, we used ANOVA tests in conjunction with Tukey’s multiple comparison tests (p < 0.05) as indicated on figures.
Institutional Safety Procedures
Accidental exposure to pathogenic bacteria here described can cause gastroenteritis and enterocolitis. Standard BSL2 practices were followed, and personnel was carefully advised about biohazards and ways to minimize the chances of exposure. The study has been completed by following standard operating procedures outlined for this project.
Results
Changes in Expression of Genes Regulating Eicosanoid Pathway Upon Infection With Gram-Negative Bacteria
We hypothesized that the expression of specific genes regulating eicosanoid biosynthesis in human macrophages is modulated at early stages of S. Typhimurium and Y. enterocolitica infections (2 hpi). We measured transcripts of select genes regulating eicosanoid biosynthesis in infected or uninfected cells by using quantitative RT-PCR. The most significantly upregulated transcript in S. Typhimurium-infected macrophages was COX-2 (Figure 2A). Disruption of SPI-2 by ssaV deletion from S. Typhimurium led to downregulation of COX-2 in macrophages, and upregulation of PLA-2 in comparison to wt S. Typhimurium-infected cells (Figure 2A), suggesting that proteins encoded within SPI-2 play a key role in upregulation of COX-2, but not of other tested transcripts. COX-1 transcripts were slightly downregulated upon ΔssaV S. Typhimurium infection in comparison to control. Finally, diacylglycerol lipase (DAGL) transcript was significantly downregulated in cells infected by both wt and ΔssaV S. Typhimurium in comparison to uninfected control. DAGL is an essential component of the endocannabinoid system, hydrolyzing diacylglycerol to 2-arachidonoylglycerol (2-AG), where 2-AG can serve as an alternative pathway to obtain prostaglandin precursors. Importantly, in an attempt to validate the transcript data we performed western blotting analysis of COX-2 and PLA-2 proteins in cell lysates from infected macrophages (Supplementary Figure S1A).
Y. enterocolitica infection led to an upregulation of COX-2 gene expression in infected macrophages, and downregulation of COX-1, while other changes in transcripts were not statistically significant. In cells infected with virulence plasmid-cured Y. enterocolitica (8081c), COX-2 gene expression was increased in comparison to wt Y. enterocolitica infections (Figure 2B). Y. enterocolitica’s virulence plasmid pYV was therefore shown to play a role in dampening expression of COX-2, although specific virulence factors encoded within this plasmid affecting COX-2 expression remain to be identified.
Production of Eicosanoids by Macrophages Upon Infection With S. Typhimurium and Y. enterocolitica
Triple quadrupole quantitative mass spectrometry was next used to quantify the levels of eicosanoids released by infected macrophages. AA, PGF2α, TxB2, and PGE2/PGD2 were increasingly released from macrophages upon wt S. Typhimurium infection (Figure 3), while infection with ΔssaV S. Typhimurium resulted in the lower release of PGF2α, PGE2/PGD2, and TxB2 in comparison to wt S. Typhimurium. In comparison to uninfected cells, ΔssaV S. Typhimurium infection still led to significant upregulation of AA and TxB2 eicosanoids in cell culture medium, but not PGF2α or PGE2/PGD2. Macrophages infected with Y. enterocolitica infection virulence plasmid-cured (8081c) or wt strain, produced an increased amount of all targeted eicosanoids (AA, PGF2α, and PGE2/PGD2 but also, albeit less significantly of TxB2). Furthermore, deletion of the pYV plasmid controlling the expression of effector proteins of Yersinia led to an increased release of AA, TxB2, and PGE2/PGD2 from infected macrophages in comparison to wt Y. enterocolitica infection. Moreover, cells pretreated with b-AP15 inhibitor, which downregulates inflammasome via inhibition of specific deubiquitinating enzymes (Crump et al., 2015), blocked the production of S. Typhimurium-induced eicosanoid production (Crump et al., 2015) (Supplementary Figure S1B). Finally, inflammasome activation by using treatment with S. Typhimurium-derived LPS and nigericin led to a release of PGE2/PGD2 and TxB2 from macrophages (Supplementary Figure S1C), consistent with other published work (von Moltke et al., 2012; Dennis and Norris, 2015).
PGE2 Affects Bacterial Load During Infection With Y. enterocolitica but Not S. Typhimurium Infection
We next evaluated whether bacterial clearance was affected by pre-treatment with PGE2 by using a gentamicin protection assay at 2, 24, and 48 hours post infection (hpi). THP-1 cells were pre-treated 1 h before infection with PGE2 (2 μM) or vehicle control (ethanol) and then infected as mentioned previously with either S. Typhimurium or Y. enterocolitica. PGE2 was maintained in the medium throughout the infection. Although for S. Typhimurium infection the effect was not apparent (Figure 4A), in wt Y. enterocolitica-infected macrophages, PGE-2 consistently lead to a reduction of the bacterial load at 2, 24, and 48 hpi (Figure 4B), which depended on the dose of PGE2 (Figure 4C). Moreover, the decreased bacterial burden was to some degree also present in HeLa cells (Figure 4D), which also produce inflammasome (Cullen et al., 2015), but are not professional phagocytic cells. At 2 hpi, PGE2 did not have any significant effect on cell cytotoxicity in these infections (Supplementary Figures S2A,B). Finally, PGE2 had no direct effect on bacterial viability (Supplementary Figure S3).
Regulation of EP2 and EP4 Receptors During Infections With S. Typhimurium and Y. enterocolitica
Prostaglandin E2 exerts its multiple effects by binding to high-affinity G-protein coupled receptors (EP receptors), including EP1, EP2, EP3, and EP4, each with defined downstream targets and effects. Transcripts of all tested PGE2 receptors were present in THP1 macrophages, but upon infection, with S. Typhimurium (2 hpi) there was an increase in transcription of EP1, EP2, and EP4 receptors in macrophages, and a decrease in EP3 transcription (Figure 5A). In Y. enterocolitica infection, only EP2 receptor was downregulated, and the mRNA levels of remaining PGE2 receptors were not significantly affected (Figure 5B). These data support a possible role for EP2 or EP4 receptors during infections with S. Typhimurium and Y. enterocolitica.
EP4 Receptor Signaling Is Responsible for Inflammasome Activation During Infection
We hypothesized that there is a positive feedback loop between PGE2 signaling and inflammasome activation, where an increase in inflammasome activity enhances PGE2 release, and inflammasome in turn positively regulates PGE2 production [our study and (Díaz-Muñoz et al., 2012)]. Treatment of cells with PGE2 prior to infection with S. Typhimurium or Y. enterocolitica did lead to an increase in IL-1β secretion (Figures 6A–C) and a decrease in TNF-α (Figure 6D) secretion. The effect of PGE2 on IL-1β secretion was dose-dependent (Figure 6C) in S. Typhimurium infection. To test whether PGE2 signaling via EP2 and EP4 receptors results in inflammasome activation during infection, we used a combination of agonists and antagonists selective for EP2 and EP4 receptors. S. Typhimurium-infected macrophages treated with EP2 and EP4 antagonists released comparable levels of IL-1β and TNF-α secretion to that of the vehicle control (Figure 6A and Supplementary Figure S4A), whereas treatment with PGE2 (2 μM) resulted in substantially increased levels of IL-1β secretion and decreased levels of TNF-α secretion. The effects on TNF-α secretion can be explained by the fact that an increase in cAMP levels via PGE2 or other cAMP agonists leads to TNF-α mRNA destabilization and turnover (Eckmann and Kagnoff, 2001) in a PKA type I-dependent manner (LaRock et al., 2015), and PGE2 therefore also downregulates TNF-α responses. Treatment with the combination of EP2 agonist and EP4 receptor antagonist resulted in a small and not statistically significant increase in IL-1β secretion, but a decreased TNF-α secretion in comparison to the PGE2-treated cells, indicating that EP2-independent pathways activate inflammasome. Use of a combination of EP4 agonist and EP2 antagonist led to altered secretion of IL-1β and TNF-α at comparable levels to the PGE2 treatment. Therefore, signaling via the EP4 receptor is most likely responsible for inflammasome activation via PGE2 in S. Typhimurium infection model. It is unclear whether EP2-/EP4-dependent PKA signaling stimulated inflammasome because two different PKA inhibitors [H-89 and PKI (5-24)] failed to decrease IL-1β release from PGE2-treated and infected macrophages in S. Typhimurium or Y. enterocolitica infections (data not shown). It is possible that EP4-dependent but PKA-independent pathway is utilized in upregulation of IL-1β release by PKA.
Next, we used a caspase-1 inhibitor to demonstrate that PGE2, which is increased upon inflammasome upregulation (Supplementary Figure S1B), leads to IL-1β release via caspase-1 activation, therefore constituting a positive feedback loop. Treatment with the caspase-1 inhibitor YVAD-CHO in combination with PGE2 abolished release of IL-1β upon infection with both Y. enterocolitica and S. Typhimurium (Figure 6B and Supplementary Figure S4B), supporting the fact that caspase-1 is responsible for the PGE2-triggered stimulation of inflammasome.
Y. enterocolitica contains a virulence pYV virulence plasmid (Chung et al., 2016) encoding virulence factors, which lead to the inflammasome activation in infected macrophages. We hypothesized that inflammasome activation during infection with wt Y. enterocolitica could be achieved by treating macrophages with PGE2. Indeed, PGE2 triggered a release of IL-1β in THP-1 macrophages infected with wt Y. enterocolitica (MOI 50:1, 2 hpi; Figure 6B). Combined treatment with YVAD-CHO caspase-1 inhibitor and PGE2 before infection with Y. enterocolitica led to a decreased IL-1β secretion as expected (Figure 6B).
Lipopolysaccharide is known to be a potent co-stimulator of inflammasome activation (Kummari et al., 2015), and it contributes to an increased PGE2 release (Supplementary Figure S1B). To further prove that LPS contributes to PGE2 release as well as the presence of SPI-2, we used S. Typhimurium UK-1 mutant strains containing modified LPS structure [χ11312 (Kong et al., 2011) and χ12253 (Liu et al., 2016)], or, as an additional control, we used an attenuated mutant containing a deletion of aroA (χ11754), which is a gene essential to the shikimate pathway (Figures 6E,F). First, we used the anti-PGE2 monoclonal antibody as an alternative way to measure PGE2 levels and confirmed that wt S. Typhimurium rapidly increases PGE2 levels at 2 hpi (Figure 6E). S. Typhimurium mutants possessing rough LPS (ΔwaaC41, χ12253, and ΔwaaL46, χ11312; Table 1) or attenuated strain ΔaroA (χ11754) lead to a lower PGE2 release in infected macrophages. The ΔwaaL46 mutant (χ11312) produces complete core-lipid A of LPS with no O-antigen while ΔwaaC41 (χ12253) has a deficiency in a core lipid A and does not contain O-antigen. The ΔwaaC41 (χ12253) S. Typhimurium used for infection expectedly led to a lower PGE2 release from macrophages in comparison to ΔwaaL46 mutant (χ11312). However, both, LPS mutants as well as auxotrophic ΔaroA strain still led to a production of robust PGE2 release in comparison to uninfected cells. Moreover, in comparison to the infection with wt, χ12253 LPS strain did lead to a lower IL-1β release from cells and decreased the level of caspase-1 cleavage into a mature form (Figure 6F). These pieces of evidence show that intact LPS containing O-antigen and core-lipid A leads to an improved activation of the inflammasome in infected cells and therefore to an increased PGE2 release.
PGE2 Alters Host Cell Morphology During S. Typhimurium Infection
We next tested the effects of PGE2 on cell morphology, which in macrophages correlates with polarization and activation (McWhorter et al., 2013) that are critical trails of macrophage functionality. We performed light microscopy (24 and 48 hpi) and confocal microscopy studies (48 hpi) of macrophages infected with wt S. Typhimurium in presence or absence of exogenous PGE2 (Figure 7 and Supplementary Figure S4C). As compared to the vehicle control, macrophages pre-treated with PGE2 were elongated and formed fiberglass-like appendages (Figure 7A). This altered cell morphology was already present in uninfected cells treated with PGE2, but this effect was further increased upon infection with S. Typhimurium, as quantified by cell ratio measurements (Figures 7B,C).
PGE2 Modulates Macrophage Polarization While Increasing IL-1β and IL-12β p40 Transcription
We next wanted to confirm whether PGE2-induced changes in macrophage morphology correlate with macrophage polarization, as the association between macrophage morphology and polarization has been previously observed (McWhorter et al., 2013). We analyzed transcripts of genes frequently used as M1 (MCP-1, SOCS3, iNOS, IL-12, IL-1β, IL-12β, and NOX2) or M2 (MRC1, TGM2, MSR1, MMP12, CD200R, and CCL17) macrophage polarization markers in three time points of infection (2, 24, and 48 hpi) and in two different infections (S. Typhimurium and Y. enterocolitica) of THP-1 macrophages pre-treated with PGE2 or vehicle control (Figure 8).
Prostaglandin E2 contributed to an increased expression level of specific M1 markers in S. Typhimurium-infected macrophages (SOCS3 24 and 48 hpi, IL-1β 2 and 24 hpi, and IL-12β 48 hpi; Figure 8, right panel), and downregulation of expression of M2 markers, MRC1, MSR1, and MMP12. Several inconsistencies were noted, including downregulation of MCP-1, iNOS, and NOX2 in PGE2-treated 24 hpi and downregulation of MCP-1 48 hpi. In Y. enterocolitica-infected macrophages, PGE2 contributed to an increased expression level of M1 markers (SOCS3 2 hpi, IL-1β 2 hpi, and IL-12β 2 and 24 hpi) and downregulation of M2 markers (CCL17 2 hpi, MMP12, MSR1 24 hpi, and MRC1, TGM2, MMP12, and CCL17 48 hpi). PGE2 also led to a downregulation of M1 markers in Y. enterocolitica infection, such as MCP-1 (monocyte chemotactic protein-1; CCL2, 2 hpi, and 24 hpi), and iNOS (at 48 hpi). In summary, the data indicate that PGE2 might shift polarization away from M2 type and that it promotes expression of IL-1β and IL-12β cytokines generally associated with the M1 type. These results are consistent with a decreased bacterial burden in PGE2-treated Y. enterocolitica-infected macrophages (Figures 4B,C) as well as, to some degree, HeLa cells (Figure 4D).
Discussion
Eicosanoids encompass a wide range of bioactive lipids, such as prostaglandins, thromboxanes, leukotrienes, and lipoxins (von Moltke et al., 2012). Biosynthesis of eicosanoids is regulated by PLA-2, which initiates production of AA from phospholipids. Alternatively, the sequential hydrolysis of diacylglycerol and 2-AG endocannabinoid, catalyzed by DAGL and MAGL, respectively, can also yield AA (Nomura et al., 2011; Figure 1). In either case, AA is a substrate for COX-1 and COX-2 enzymes, which catalyze the oxygenation of this polyunsaturated fatty acid into endoperoxide prostaglandin H2 (PGH2). PGH2 is converted to various prostaglandins or thromboxanes by specific prostaglandin or thromboxane synthases (Alhouayek and Muccioli, 2014). While COX-1 enzyme is expressed constitutively in many tissues including monocytes and macrophages, the expression of COX-2 is inducible, and can be triggered by exposure to inflammagens, including interleukin-1 (Mifflin et al., 2002). Since eicosanoids have been shown to regulate inflammation, we measured differential expression of genes responsible for the biosynthesis of these compounds in two different infection models: S. Typhimurium and Y. enterocolitica. S. Typhimurium produces LPS and proteins recognized by PRRs and internal NODD like receptors on macrophages, leading downstream to transcription of pro-inflammatory genes and inflammasome activation, finally followed by secretion of pro-inflammatory cytokines IL-1β and IL-18. Although an increased inflammasome activity is mediated by virulence factors associated with Salmonella pathogenicity-1 (SPI-1), such as PrgJ and SipB, or a flagellar protein FliC (LaRock et al., 2015), SPI-2 proteins also lead to inflammasome activation, which is relevant in the clearance of persistent bacteria (Broz and Monack, 2011). On the contrary, specific Yersinia effector proteins encoded within its virulence plasmid prevent inflammasome activation, such as effectors YopK (YopQ in Y. enterocolitica) (Brodsky et al., 2010) or YopM (LaRock and Cookson, 2012). Therefore, we hypothesized that the presence of the Y. enterocolitica virulence plasmid would interfere with the pro-inflammatory eicosanoid production, corresponding to diminished expression of genes regulating this pathway, while the SPI-2 of S. Typhimurium would lead to an enhanced eicosanoid production. As expected, COX-2 was significantly upregulated in macrophages infected with both pathogens, although the level of upregulation differed in these infections: S. Typhimurium led to four-fold upregulation of COX-2 in comparison to uninfected cells, whereas for Y. enterocolitica the upregulation was around twofold relative to uninfected cells.
Interestingly, deletion of the virulence plasmid of Y. enterocolitica (8081c) led to a significant upregulation of COX-2 levels, whereas deletion of ssaV in S. Typhimurium attenuated COX-2 levels by twofold in comparison to wt S. Typhimurium (Figure 2). Furthermore, the expression of cPLA-2 phospholipase was induced by wt S. Typhimurium infection but not by Yersinia infection. Additionally, COX-1 gene expression was downregulated in ΔssaV S. Typhimurium infection and DAGL expression was downregulated by both, wt and ΔssaV S. Typhimurium. Upregulation of COX-2 upon infection was previously shown in the infection model of murine macrophages S. Typhimurium (Uchiya and Nikai, 2004). Although COX-2 protein levels were still increased in infected cells, the protein amounts did not completely agree with the transcript data between the wt and mutant strains (Supplementary Figure S1A), and the reason behind this inconsistency could be explained for example by proteolytic events or other post-translational modifications of proteins. However, we also think that these proteins are secreted from Salmonella wt-infected cells, similarly as shown for other proteins in prior studies (Anderson and Seilhamer, 1997). The secretion of COX-2 and PLA-2 via exosomes was previously demonstrated (Subra et al., 2010), and we have described that exosomes released from S. Typhimurium-infected macrophages have an inflammatory effect on naïve cells (Hui et al., 2018). It is likely that the pro-inflammatory effects of exosomes produced by wt S. Typhimurium-infected cells could be partially attributed to the presence of COX-2 or PLA-2 in these extracellular vesicles.
The metabolites of COX-2 were also affected by infections (Figure 3). For instance, infection with an SPI-2 mutant of S. Typhimurium led to a significant decrease in production of PGF2α, TxB2, and PGE2/PGD2 relative to that seen during wt strain infection. On the other hand, deletion of the virulence plasmid in Y. enterocolitica contributed to a significant increase in the levels of AA, TxB2, and PGE2/PGD2 in host cells, relative to those seen during wt strain infection. It was previously demonstrated that the production of PGE2 induced by flagellin injection or S. Typhimurium infection was attenuated in cells that do not express NLRC4 (von Moltke et al., 2012), which suggests that the presence of NLRC4 inflammasome is critical for the induction of PGE2 biosynthesis during infection. Although it was previously known that PGE2 is upregulated in cells infected with S. Typhimurium (Bowman and Bost, 2004), the upregulation of other eicosanoids in macrophages infected with bacteria is a novel finding, and upregulation of AA is somehow surprising in Y. enterocolitica (Figure 3), given that PLA-2 transcript was not significantly upregulated in this infection (Figure 2). We further showed that in addition to SPI-2-based virulence factors, LPS structure and specifically the presence of O-antigen and intact Lipid A are significant in stimulating PGE2 production and inflammasome activation in infected cells (Figures 6E,F).
By using combinations of EP2 and EP4 receptor agonists/antagonists, we showed that while EP2 receptor signaling plays a significant role in regulating TNF-α levels, EP4 receptor stimulation seemed to be the most relevant in the PGE2-mediated secretion of IL-1β upon infection with S. Typhimurium (Figure 6). The EP2 and EP4 receptors increase cAMP through their stimulatory G-protein subunit, which consequently activates the enzyme adenylate cyclase converting ATP to cAMP serving as a secondary messenger. For example, classical G-protein coupled receptor stimulation of cAMP conversion from ATP is known to result in binding of cAMP to PKA, dissociation of the regulatory subunits and stimulation of transcription factors such as the phosphorylation of cAMP-responsive binding element (CREB) and alteration of gene transcription (Nomura et al., 2011). It is not unreasonable to suggest that this signaling in the presence of intracellular bacteria could lead to inflammasome activation. However, EP2 and EP4 can stimulate adenylate cyclase differently. The reason we detect EP4 signaling as the PGE2 receptor pathway primarily responsible for inflammasome activation may be due to the higher upregulation of this receptor in macrophages infected with S. Typhimurium (Figure 5). We showed that PGE2 effect on IL-1β release in infected cells depends primarily on caspase-1 activity (Figure 6B), but that this PGE2-triggered induction of IL-1β release is not associated with higher cytotoxicity at 2 hpi (Supplementary Figure S2), which could suggest alternative inflammasome activation by PGE2 (Gaidt et al., 2016).
Prostaglandin E2-treated macrophages had a reduced bacterial load in Y. enterocolitica infection, but not S. Typhimurium (Figure 4). Our earlier results showed that PGE2 increases phagocytosis of zymosan particles in HD11 macrophages (Lee et al., 2017); therefore, we suspect that increased phagocytosis could be responsible for this reduced bacterial load. Other explanations of this phenomenon include differential activation of macrophages exposed to a high PGE2 dose. PGE2-treated and S. Typhimurium-infected cells underwent significant changes in morphology (Figure 7) and altered expression of genes regulating M1/M2 polarization (Figure 8). Infection with S. Typhimurium generally stimulates LPS-dependent M1 macrophage profile in murine macrophages (Mifflin et al., 2002) while PGE2 is associated with M2 polarization profiles, for example, via cyclic-AMP responsive element binding (CREB) induction of Krupple-like factor 4 (KLF4) (Broz and Monack, 2011). However, in our study, an exogenous addition of PGE2 appeared to modulate shift in M1/M2 phenotype away from M2 phenotype in response to S. Typhimurium infection (Figure 8), at least based on the stimulation of select M1 genes/proteins by PGE2, for instance, IL-1β and IL-23/17.
Further investigation is required to establish how PGE2 shapes the macrophage polarization upon S. Typhimurium and Y. enterocolitica infections. We suggest that PGE2 might stimulate the killing of bacteria by macrophages in certain infections (Y. enterocolitica) but not in others (S. Typhimurium). Other possible roles of PGE2 in these infection models are the attraction of neutrophils to the site of infection. It has recently been reported that eicosanoid biosynthesis plays a role in the efferocytosis of neighboring neutrophils in mice (Jorgensen et al., 2016), where PGE2 could contribute toward the mechanism of neutrophil migration. Regarding other limitations of our work, we have not identified specific effector proteins encoded in SPI-2 of S. Typhimurium, or the virulence plasmid of Y. enterocolitica, which might regulate the release of particular eicosanoids from infected cells or affect the enzymes involved in the eicosanoid biosynthesis. However, in Yersinia, the suspected effectors are the ones which regulate inflammasome, including YopM and YopQ/K (Brodsky et al., 2010; LaRock and Cookson, 2012; Chung et al., 2016), while in S. Typhimurium, one of the suspected effectors is SpiC (Uchiya and Nikai, 2004).
In summary (Figure 9), our current work provides several lines of evidence that PGE2 eicosanoid enhances inflammasome activation upon bacterial infection, leading to changes in macrophage polarization and function. However, implications of these PGE2-mediated changes of macrophage function and their role in the clearance of bacteria should be further addressed by appropriate in vivo studies.
Author Contributions
ME, MR, AS, and AW contributed in conceptualization. ME, MR, AS, LM, and EK contributed in writing. ME, EK, AS, AR, LM, WH, JL, and AB contributed in investigation. ME contributed in funding acquisition. AS and JL contributed in formal analysis. MR, ME, AR, AS, EK, and AW contributed in methodology. MR and ME contributed in supervision. MR and ME contributed in resources. AS and AW contributed in validation. AS, ME, and AW contributed in visualization.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
The authors would like to thank Dr. Roy Curtiss III (University of Florida, Unites States), Dr. James Bliska (Stony Brook University, United States), and Dr. David Holden (Imperial College, United Kingdom) for bacterial strains. They also want to thank Muhammed Elbashir (University of Florida) for technical assistance.
Footnotes
Funding. This study was supported by a fund no. 2016-31200-06012 from the National Institute of Food and Agriculture (NIFA), https://doi.org/10.13039/100005825, National Institutes of Health (NIH) fund no. 5P20GM103646-02, https://doi.org/10.13039/100000002, as well as MS Center for Food Safety and Post-harvest Technology Grant Program (USDA-ARS SCA 58-6066-7081) and NIH1R15ES015348-02. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2018.02447/full#supplementary-material
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