Abstract
Background
Helicobacter pylori (H. pylori) is a gram-negative bacterium that chronically infects approximately 50% of the world’s human population. While in most cases the infection remains asymptomatic, 10% of infected individuals develop gastric pathologies and 1–3% progress to gastric cancer. Although H. pylori induces severe inflammatory responses, the host’s immune system fails to clear the pathogen and H. pylori can persist in the human stomach for decades. As suppressor of cytokine signaling (SOCS) proteins are important feedback regulators limiting inflammatory responses, we hypothesized that H. pylori could modulate the host’s immune responses by inducing SOCS expression.
Methods
The phenotype of human monocyte-derived DCs (moDCs) infected with H. pylori was analyzed by flow cytometry and multiplex technology. SOCS expression levels were monitored by qPCR and signaling studies were conducted by means of Western blot. For functional studies, RNA interference-based silencing of SOCS1–3 and co-cultures with CD4+ T cells were performed.
Results
We show that H. pylori positive gastritis patients express significantly higher SOCS3, but not SOCS1 and SOCS2, levels compared to H. pylori negative patients. Moreover, infection of human moDCs with H. pylori rapidly induces SOCS3 expression, which requires the type IV secretion system (T4SS), release of TNFα, and signaling via the MAP kinase p38, but appears to be independent of TLR2, TLR4, MEK1/2 and STAT proteins. Silencing of SOCS3 expression in moDCs prior to H. pylori infection resulted in increased release of both pro- and anti-inflammatory cytokines, upregulation of PD-L1, and decreased T-cell proliferation.
Conclusions
This study shows that H. pylori induces SOCS3 via an autocrine loop involving the T4SS and TNFα and p38 signaling. Moreover, we demonstrate that high levels of SOCS3 in DCs dampen PD-L1 expression on DCs, which in turn drives T-cell proliferation.
Keywords: Dendritic cell, SOCS, p38, H. Pylori, Type IV secretion system
Background
With more than 4 billion infected persons, Helicobacter pylori is one of the most prevalent human pathogens worldwide. H. pylori infection is characterized by persistent colonization of the gastric mucosa [1] associated with leukocyte infiltration and increased secretion of pro-inflammatory cytokines within the first 2 weeks of infection [2, 3]. Without antibiotic treatment, however, the host’s immune system fails to clear the bacterial burden and H. pylori infection lasts for the entire life of the host [4]. Therefore, infected individuals experience chronic infections which can give rise to severe gastritis, several ulcer entities and gastric cancer [5–7]. Accordingly, H. pylori was categorized as a class I (definite) carcinogen by the World Health Organization (WHO) in 1994 [8]. H. pylori harbors several virulence factors, including the vacuolating toxin VacA, the serine protease HtrA, and a pathogenicity island encoding a type IV secretion system (T4SS) which delivers bacterial factors directly into the host cell cytoplasm (cagPAI). These latter factors include the bacterial protein CagA, peptidoglycan, and ADP-glycero-β-D-manno-heptose (ADP heptose) and are thought to hijack host cell signaling networks [9, 10].
In stomach biopsies of H. pylori-infected individuals, increased numbers of tissue-infiltrating immune cells have been identified, including neutrophils [11], B and T cells [12], and dendritic cells (DCs) [13]. Moreover, it has been reported that H. pylori infection results in recruitment of myeloid DCs to the inflamed mucosa. In contrast, biopsies from uninfected individuals lack myeloid DCs [14]. Furthermore, DCs were shown to take up virulence products of H. pylori [15] and to play key roles in initiating adaptive immune responses toward H. pylori [16]. However, the situation in H. pylori infections is ambiguous. Despite effective evasion from Toll-like receptor-4- (TLR4) and TLR5-mediated pathogen recognition, significant DC activation is observed [17–19]. While the effects of H. pylori infection on epithelial cells have been extensively studied, the consequences for human DCs are less well characterized.
Stimulation of DCs with bacterial components results in DC activation and maturation, which involves a wide variety of signaling cascades and results in the secretion of pro-inflammatory mediators as well as presentation of processed antigen in the context of co-stimulatory molecules. Mature DCs thus provide important signals that determine the development of different pathogen-specific T-helper cell subgroups, which in turn are crucial for protective immunity. A strong inflammatory response ensures killing of pathogens; however, to avoid excessive inflammation, several mechanisms have evolved to tightly regulate these processes. A well-described group of immune regulators are the suppressor of cytokine signaling (SOCS) proteins [20]. The SOCS protein family consists of 8 members (SOCS1–7, CIS) which are upregulated upon stimulation of cytokine receptors and TLRs [21–23]. SOCS proteins inhibit immune signaling at different levels of signal transduction, including inhibition of receptor-associated kinases, competition with signal transducers and activators of transcription (STATs), and proteasomal degradation of signaling molecules. Hence, SOCS proteins play an important role in limiting excessive immune responses [21]. However, recent studies indicate that SOCS proteins not only regulate cytokine signaling, but also have a direct impact on the inflammatory potential of DCs [23, 24].
While several studies have described a pro-inflammatory role of DCs in H. pylori infection, other data suggest that H. pylori-infected DCs are more likely to have a regulatory phenotype [16]. Since SOCS proteins can shift the balance between the pro- and anti-inflammatory potential of DCs [23–28], and because the role of SOCS proteins during H. pylori infection has been underexplored, this study aimed to shed light on SOCS proteins as possible regulators of DC function in response to H. pylori infection. Here, we show that human DCs rapidly upregulate SOCS3 expression after infection with wild-type H. pylori P12, whereas the induction of SOCS1 and SOCS2 expression is observed only at later time points. Immediate H. pylori-induced SOCS3 expression appears to be independent of TLR, MEK and JAK signaling. Instead, we identified the T4SS and TNFα as being necessary for early activation of MAP kinase p38 and subsequent SOCS3 expression. Silencing studies revealed that SOCS3 expression limits H. pylori-induced secretion of pro- as well as anti-inflammatory cytokines by DCs while it specifically dampens PD-L1 expression but not co-stimulatory molecules. Accordingly, we demonstrate that SOCS expression in DCs is important for subsequent T-cell proliferation. Taken together, this study identifies SOCS3 as an important player in the induction of H. pylori-induced immune responses.
Methods
Generation of monocyte-derived dendritic cells (DCs)
Monocyte-derived dendritic cells (moDCs) were generated from monocytes isolated from fresh buffy coats of healthy, anonymous donors (Blood Bank Salzburg, Austria) as described previously [23]. Briefly, peripheral blood mononuclear cells (PBMCs) were isolated by density gradient centrifugation using Histopaque-1077 (Sigma). After erythrocyte lysis with ACK buffer (150 mM NH4Cl, 10 mM KHCO3, 0.1 mM EDTA, pH 7.4), monocytes were isolated by means of magnetic labeling using CD14 Microbeads Ultrapure (MACS Miltenyi) or by monocyte adherence (70 min at 37 °C, 5% CO2), and cultured in RPMI 1640 supplemented with 10% heat-inactivated fetal calf serum, 1% L-glutamine (PAA), 10 U/ml penicillin/streptomycin (Sigma), 50 μM β-mercaptoethanol (Gibco). Immature DCs were generated by supplementation of the medium with 50 ng/ml GM-CSF and IL-4, respectively, for 7 days. After 2 days of differentiation, fresh medium was added to the culture. After 7 days, DCs were harvested and seeded in 24-well plates for infection.
Bacterial culture and infection experiments
H. pylori wild-type P12 (wt) and P12 ΔcagPAI were cultured at 37 °C on GC agar plates (10% horse serum) under microaerophilic conditions (CampyGen Atmosphere Generation Systems, Thermo Scientific). For P12 ΔcagPAI, selective GC agar plates supplemented with kanamycin (8 μg/ml) were used. For infection, H. pylori was harvested and added to the DCs at a multiplicity of infection (MOI) of 0.2–20 or MOI = 5, respectively, for the indicated time points. For TLR inhibition experiments, DCs were treated with α-TLR2 (PAb-hTLR2, InvivoGen) and α-TLR4 (W7C11, α-hTLR4-IgG, InvivoGen) (1 μg/ml each) 20 min prior to infection. As a control, DCs were stimulated with 1 ng/ml LPS (E. coli). For the MAPK inhibition experiments, cells were treated with specific inhibitors of MEK1/2 (U0126, InvivoGen) or p38 (SB203, InvivoGen) at a concentration of 10 μM 1 h prior to infection. JAK kinase inhibition was performed by addition of a specific inhibitor (CAS 457081–03-7, Calbiochem, 1 μg/ml) 20 min prior to infection. TNFα was neutralized by using a human neutralizing antibody (D1B4, Cell Signaling) at a concentration of 100 ng/ml.
Flow cytometry and ELISA
DC phenotypes were determined by analysis of median fluorescence intensities of surface marker expression measured on a FACS Canto II flow cytometer (BD Biosciences). Cells were harvested and resuspended in FACS buffer (PBS, 1% BSA, 2 mM EDTA) before staining (30 min, 4 °C, dark) using the following antibodies: CD1a-BV421 (HI149), CD40-FITC (SC3) and CD86-PE (IT2.2) (eBioscience), CD80-APC-H7 (L307.4) and PD-L1-PE-Cy7 (MIH1) (BD Biosciences), HLA-DR-APC (LN3, Invitrogen), PD-L2-APC-Vio770 (Miltenyi) as well as LD (eBioscience Fixable Viability Dye eFluor 780 and eFluor 506). Analysis of the median fluorescence intensity of the mentioned markers within the living CD1a+ moDC population was performed with FlowJo Software. Cytokine ELISA in supernatants of infected cells was performed according to the manufacturer’s instructions: IL-1β (R&D) and IL-6, IL-8, IL-12, TNF-α (all Peprotech).
Multiplex assay
Cytokine and chemokine secretion of infected DCs was analyzed using the Cytokine/Chemokine/Growth Factor 45-Plex Human ProcartaPlex™ from ThermoFisher. Briefly, beads were washed once (PBS, 0.05% Tween-20) and resuspended in assay buffer (PBS, 0.05% Tween-20, 1% heat-inactivated FCS) before 8.34 μl per well were added into a 96-well V-bottom plate. Subsequently, 15 μl of standard or samples were added and the plate was incubated on an orbital shaker at 4 °C overnight. The next day, samples were washed three times and resuspended in 15 μl of detection antibody solution and incubated for 30 min at room temperature. Samples were again washed three times before 20 μl of Streptavidin-PE solution (1:1 in assay buffer) were added to each well and incubated for 30 min at room temperature. Eventually, samples were washed three times and resuspended in drive fluid for analysis. Measurement was performed on a Luminex Magpix instrument and data were analyzed using Procarta Plex Analyst Software (ThermoFisher).
RNA isolation and quantitative real-time PCR
Total RNA was isolated using TRI Reagent (Sigma) and reverse-transcribed with RevertAid H Minus M-MulV reverse transcriptase (Thermo Scientific) according to the manufacturer’s instructions. Expression levels were determined by quantitative real-time PCR on a Rotorgene 3000 (Corbett Research) using IQ SYBR Green Supermix. Levels of the large ribosomal protein P0 (RPLP0) served as a reference gene. Relative mRNA expression x was calculated using the equation x = 2-ΔCt, where Δct represents the difference between the threshold cycle (ct) of the gene of interest and the reference gene. PCR specificity was assessed by recording a melting curve for the PCR products. The following primer pairs were used for quantification: SOCS1: sense 5′-TTGGAGGGAGCGGATGGGTGTAG- 3′, antisense 5′-AGAGGTAGGAGGTGCGAGTTCAGGTC-3′; SOCS2: sense 5′-CCAAATCAACCAAAAAAAGTGACCATGAAGTCCTG-3′, antisense 5′- CGGGGATTGAGTTGCACCTGTATAGCATGATATTC-3′; SOCS3: sense 5′- ATACTATACCTTCCTGTACCTGGGTGGATGGAGCG-3′, antisense 5′- TGAGTATGTGGCTTTCCTATGCTGGGTCCCTCT-3′;
Database analysis
For analysis of SOCS expression in gastritis patients, the public genomic dataset GSE5081 from NCBI Gene Expression Omnibus (NCBI-GEO) [29] was used. The data discussed in the present study were derived from Galamb et al. [30], have been deposited in NCBI-GEO, and are accessible through GEO Series accession number GSE5081. Analysis was performed using Python. Access to the GEO database was granted with the following GEOparse package (https://github.com/guma44/GEOparse). The GSE5081 dataset includes whole-genome oligonucleotide microarray analysis data of H. pylori-related (HP+) and idiopathic (HP-) gastritis patients. Gene expression data derive from total RNA which was extracted from frozen gastric biopsy specimens. The dataset includes 32 samples of 16 patients (8 HP+, 8 HP-), in which erosive and non-erosive (normal antrum) areas were used for biopsies. While SOCS1 and SOCS2 gene expression data show no statistical difference, SOCS3 expression does show a statistically significant difference between HP+ and HP- samples (Affymetrix Probe Set IDs in Platform GPL570: 213337_s_at, 232539_at and 227697_at).
Western blot
Cell pellets of infected samples were harvested and lysed in 80 μl 2x Laemmli sample buffer (BIO-RAD) supplemented with 5% β-mercaptoethanol (Sigma). Samples were separated on a 4–12% gradient gel (NuPAGE, Life Technologies) and blotted onto a nitrocellulose membrane (BIO-RAD). Membranes were blocked in TBS supplemented with 0.1% Tween and 5% nonfat dry milk for 1 h. The following antibodies were used according to the manufacturer’s instructions: p-STAT1-Tyr701 (Cat no. 5375S), STAT-1 (Cat no. 9172S), p-STAT3-Tyr705 (Cat no. 9145S), STAT3 (Cat no. 4904S), p-p38-Thr180/Tyr182 MAPK (Cat no. 9215S), p38 (Cat no. 9212S), and HRP-linked anti-rabbit secondary antibody (Cat no. 7074) (all Cell Signaling Technology). Detection was done using West Pico PLUS Chemiluminescent Substrate (Thermo Fisher) and BioMax films (Kodak). Blots were quantified using ImageJ (NIH) software [31].
Gene silencing via siRNA-based transfection
DCs were transfected with small interfering RNAs (siRNAs) targeting SOCS1 (Santa Cruz Biotechnology, Inc.), SOCS2 (ThermoFisher), SOCS3 (ThermoFisher) or Allstars negative control (Qiagen). For transfection, Lipofectamine RNAiMAX reagent (Life Technologies) was used according to the manufacturer’s instructions. In brief, 2 × 105 DCs were seeded in 100 μl DC medium and transfected with 100 μl Opti-MEM (Life Technologies) containing 50 to 100 pmol siRNA and 1 μl transfection reagent. Subsequently, DCs were incubated for 6 h before 800 μl of fresh DC medium was added. After 48 h of incubation, DCs were used for infection experiments after silencing efficiency was assessed by qRT-PCR.
Allogeneic moDC/T-cell co-culture
Control or SOCS3-silenced moDCs were harvested after 48 h and replated at a density of 105 cells/400 μl in P/S free T-cell medium (IMDM + 5% FCS, 1x L-Glut). Thereafter, moDCs were either infected with H. pylori or left untreated for 24 h. The next day, 6 h pre addition of T cells, the cultures were supplemented with P/S (1x). Total CD4+ T cells were isolated from buffy coats of healthy donors using the Human CD4+ T cell isolation kit (Miltenyi Biotec) according to the manufacturer’s instructions, and isolated T cells were stained with e450 Proliferation Dye (eBioscience) for 10 min at room temperature. Thereafter, T cells were added to the moDC culture at a ratio of 1:10 (moDC:T cell). IL-2 was added at a concentration of 50 U/ml. After 6 days of co-culture, T cells were stimulated with PMA (50 ng/ml), Ionomycin (1 μg/ml) and Brefeldin A (10 μg/ml, Sigma-Aldrich B652) for 4 h. Thereafter, cells were transferred in a V-bottom plate and stained in 20 μl PBS containing the following antibodies for surface staining: CD4-PE-594 (RPT-4A, BioLegend) and LD (eBioscience Fixable Viability Dye eFluor 780) for 30 min (4 °C, dark). After washing of the samples (150 μl PBS), 100 μl Fix-Perm (FOXP3 staining kit, eBioscience) were added and the samples were incubated for 30 min (4 °C, dark). Meanwhile, the intracellular staining mix was prepared in PermBuffer using IFNγ-PE-Cy7 (B27). After two washing steps, IFNγ-PE-Cy7 (B27) diluted in PermBuffer was added to the samples for 20 min. Measurement was performed in PBS + 2 mM EDTA on a CytoFLEX S instrument (Beckman Coulter). Living, single, CD4+ T cells were used to analyze IFNγ levels.
Statistics
Data are presented as bars indicating mean ± standard deviation (SD) or as dot plots. Statistical analyses were performed with GraphPad Prism 7 software. Multiple groups were analyzed by one-way ANOVA including a post-hoc test. P values < 0.05 were considered significant (*p < 0.05, **p < 0.01, ***p < 0.001, n.s. not significant).
Results
H. pylori induces cytokine secretion and expression of feedback inhibitors in a time-dependent way
H. pylori has been shown to penetrate the gastric lining and directly interact with cells of the immune system. Immature DCs are recruited to the inflamed mucosa where they encounter the bacteria and undergo maturation, which initiates an adaptive immune response toward the pathogen [32]. In general, the DC maturation process involves the release of inflammatory cytokines and elevated levels of co-stimulatory molecules, which are crucial for T-cell activation [33, 34]. Accordingly, we observed dose-dependent upregulation of activation markers as well as cytokine secretion upon H. pylori infection (Supplementary Figure 1). It is well established that bacterial stimuli also induce the expression of immunosuppressive molecules, including programmed death ligand 1 (PD-L1) and PD-L2, in order to prevent excessive damage to the tissue following an inflammatory response [35, 36]. Consistent with this, we observed significant and dose-dependent increases of both PD-L1 and PD-L2 levels upon H. pylori infection (Supplementary Figure 1A).
To examine the inflammatory response of DCs to H. pylori infection in more detail, we monitored cytokine and chemokine secretion upon infection over a defined time period (Fig. 1a). We observed the release of a wide variety of mediators, with IL-6 and TNFα being significantly increased at 8 h post-infection with H. pylori, whereas most other cytokines were detected only after 24 h (Fig. 1a/b). In light of these strong increases in cytokine levels, we additionally investigated the mRNA expression of suppressor of cytokine signaling (SOCS) proteins SOCS1, − 2 and − 3 over a period of 48 h post H. pylori infection (Fig. 1c). Our data reveal that SOCS3 mRNA was already induced within 1 h of infection, whereas SOCS1 and SOCS2 expression was delayed and detectable only after 8 h. Neither H. pylori infection nor TLR4 stimulation with E. coli LPS was able to induce SOCS2 expression within 4 h of treatment (Fig. 2a), which is in line with previous studies demonstrating the delayed expression profile of SOCS2 [23]. Interestingly, LPS significantly induced the expression of both SOCS1 and SOCS3 at this early time point, whereas H. pylori selectively increased only SOCS3 expression (Fig. 2a). Additionally, we analyzed SOCS expression in a data set of H. pylori-positive and negative human gastric biopsies and found that SOCS3 was significantly increased in H. pylori-positive samples compared to H. pylori-negative ones, while SOCS1 and SOCS2 were not differentially expressed (Fig. 2b). The exclusive and rapid induction of SOCS3 suggests that SOCS3 might play a specific role in regulating DC activation in response to H. pylori infection.
H. pylori triggers early SOCS3 expression via p38 signaling but independent of TLR, MEK1/2 and JAK
To determine how H. pylori induces SOCS3 expression within 1 h of infection, we first investigated whether activation of TLRs might contribute to this gene activation. In particular, TLR2 and TLR4 have been reported to be involved in sensing H. pylori products, which in turn leads to DC activation [19]. Therefore, we treated DCs with a combination of α-TLR2 and α-TLR4 blocking antibodies prior to infection and monitored subsequent expression of SOCS proteins. To control for successful TLR blocking, DCs were treated with E. coli LPS, a well-described ligand of TLR2 and TLR4 [37, 38]. Accordingly, we confirmed that addition of TLR2/4 blocking antibodies potently blocked E. coli LPS-induced mRNA expression of SOCS3 by DCs (Fig. 3a, right panel). In contrast, H. pylori-induced SOCS3 expression was not affected by the addition of the TLR blocking antibodies (Fig. 3a, left panel). These data demonstrate that, within the first hour of infection, H. pylori-induced SOCS3 expression was independent of TLR2/4 signaling. Because JAK activation and subsequent STAT signaling are well-described mechanisms driving SOCS expression, we next determined whether this pathway may contribute to early SOCS3 regulation [39]. Similar to our previous inhibition experiments, JAK inhibition did not have an impact on H. pylori-induced SOCS3 expression (Fig. 3b). Therefore, we focused on mitogen-activated protein (MAP) kinases, which have been shown to be rapidly activated by H. pylori in epithelial cells [40] and to play a role in regulation of SOCS3 mRNA levels [41]. To test whether these kinases are potential inducers of SOCS3 in DCs, we blocked p38 and MEK1/2 prior to infection and monitored SOCS3 expression 1 h post infection. While inhibition of MEK1/2 had no effect on SOCS3 induction (Supplementary Figure 2), blocking of p38 decreased the capacity of H. pylori to induce SOCS3 (Fig. 3c). These data suggest that MAPK p38 is crucially involved in H. pylori-induced SOCS3 expression within the first hour of infection.
H. pylori wild type but not the ΔCagPAI mutant induces SOCS3 expression via p38
To confirm the role of MAPK p38 in H. pylori-induced SOCS3 expression, we infected DCs and monitored the phosphorylation of p38 (p-p38) during the first 2 h of H. pylori infection. We detected phosphorylated p38 as early as 30 min post-infection, whereas phosphorylation of the canonical SOCS3-inducer STAT3 [42] as well as STAT1 was observed only after 2 h (Fig. 4a). This further supports our hypothesis that the p38 MAPK pathway is involved in H. pylori-induced SOCS3 expression, whereas STAT3 plays a minor role in this context. Because we already excluded TLR2 and TLR4 as triggers of early SOCS3 expression (Fig. 3a), we next addressed the question of whether the CagPAI-encoded type IV secretion system (T4SS) is necessary for p38 phosphorylation and thus for early induction of SOCS3. We infected DCs of three independent donors with either the H. pylori wild-type (wt) strain P12 or a P12 mutant lacking CagPAI (ΔCagPAI) and analyzed p38 phosphorylation. While the H. pylori wt strain strongly induced phosphorylation of p38, the T4SS-deficient strain ΔCagPAI showed severely impaired p38 activation (Fig. 4b). We additionally analyzed SOCS3 expression in cells infected with H. pylori wt or the ΔCagPAI mutant and observed significantly lower SOCS3 mRNA levels upon infection with the mutant compared with the wt strain (Fig. 4c). These results indicate that both the T4SS and p38 are necessary for H. pylori-induced early SOCS3 expression.
Early SOCS3 expression is a consequence of T4SS-dependent release of TNFα
As a next step we investigated whether H. pylori infection per se or mediators released upon H. pylori infection drive SOCS3 expression. Interestingly, we observed that H. pylori wt-induced SOCS3 expression was significantly inhibited when cytokine release was blocked using Brefeldin A (Fig. 5a). Treatment with Brefeldin A results in SOCS3 expression comparable to that observed upon infection with the ΔCagPAI mutant. This suggests that infection with the ΔCagPAI mutant does not induce the secretion of the soluble mediator crucial for SOCS3 expression (Fig. 5a). As IL-6 and TNFα are both known to enhance SOCS3 expression, we monitored gene expression of these cytokines in the same experimental setting. Intriguingly, the ΔCagPAI mutant was able to induce expression of IL-6 but failed to induce expression of TNFα after 1 h of infection, whereas Brefeldin A treatment resulted in decreased IL-6 but stable TNFα mRNA levels upon infection with the wt strain (Fig. 5b). These results suggest a potential role for TNFα in mediating H. pylori-induced SOCS3 mRNA expression. To confirm this hypothesis, we induced moDCs with TNFα to analyze its capacity to induce SOCS3 mRNA expression and, additionally, we blocked TNFα in DCs using a neutralizing antibody prior to infection. We found that TNFα stimulation results in SOCS3 mRNA expression, which could be blocked upon neutralization of TNFα (Fig. 5c). Interestingly, blocking of TNFα also suppressed H. pylori wt-induced SOCS3 expression (Fig. 5c). Taken together, this set of data suggests that only H. pylori wt, but not the ΔCagPAI mutant, is able to induce TNFα expression within 1 h of infection, which in turn activates the expression of SOCS3 mRNA.
Silencing of SOCS3 in DCs results in enhanced PD-L1 expression and dampened CD4+ T-cell proliferation
Having shown that H. pylori induces the expression of SOCS3 within the first hour post infection, we analyzed whether the presence of SOCS3 affects H. pylori-induced activation of human DCs. To investigate the role of SOCS3 during H. pylori infection, we performed RNA interference-based silencing of SOCS3 expression prior to infection. Transfection with siRNA targeting SOCS3 effectively reduced SOCS3 expression in DCs infected with H. pylori, compared to DCs treated with a non-targeting control siRNA (Fig. 6a). We then measured H. pylori-induced secretion of soluble mediators by DCs. The secretion of several pro-inflammatory and anti-inflammatory cytokines, including IL-1β, IL-12 and TNFα, IL-27 and IL-1RA, was augmented upon H. pylori infection of DCs transfected with siRNA targeting SOCS3 (Fig. 6b/c). Interestingly, SOCS3 silencing also resulted in a significant increase of PD-L1, whereas CD40, CD80, CD86 and PD-L2 remained unchanged, compared to control cells (Fig. 6d and Supplementary Figure 3). In contrast, silencing of SOCS1 and SOCS2, respectively, did not significantly alter the DC phenotype upon infection (Supplementary Figure 4). These data indicate that H. pylori-induced SOCS3 regulates inflammatory cytokine release, but it also dampens the secretion of anti-inflammatory mediators and the induction of the co-inhibitory molecule PD-L1, which could result in persistent inflammation. Therefore, the question arose whether SOCS3 expression in DCs also boosts H. pylori-induced T-cell responses. To address this question, we performed allogeneic co-cultures with SOCS3-silenced moDCs and CD4+ T cells and analyzed proliferation as well as IFNγ expression. We observed significantly decreased T-cell proliferation and IFNγ expression by CD4+ T cells upon co-culture with SOCS3-silenced H. pylori-infected cells compared to control silenced cells. Therefore, these data indicate that H. pylori induced-SOCS3 expression in DCs limits PD-L1 levels, which in turn results in increased T-cell proliferation.
Discussion
Numerous studies have shown that H. pylori and soluble factors associated with this pathogen are potent activators of innate immune cells, as characterized by the release of pro-inflammatory mediators and expression of co-stimulatory molecules [43–45]. However, the immune response toward H. pylori fails to effectively clear the pathogen, leading to lifelong infection within the human stomach. Manifold evolved strategies to escape and manipulate the host’s innate and adaptive immunity make H. pylori a very successful pathogen. These mechanisms range from circumventing phagocytic activity and recognition by innate immune cells [17, 46] to inducing adaptive immune responses with a regulatory profile [47–49].
Although it is well established that immune cells drive the expression of negative feedback regulators (e.g. SOCS proteins) to limit excessive immune responses upon bacterial encounters [50, 51], evidence for a role of SOCS proteins during H. pylori infection remains scarce. As we are interested in the early events in DC activation critical for priming the signaling network of these cells, we investigated the transcriptional activation of negative feedback inhibitors at early time points after H. pylori infection. Our data indicate a specific and strong upregulation of SOCS3 after 1 h of infection, while SOCS1 and SOCS2 displayed delayed kinetics. To identify the pathway involved in SOCS3 transcription, we analyzed TLR signaling as well as the activation of MAPKs and STAT proteins, as both p38 and STAT3 have been linked to transcriptional regulation of SOCS3 [42, 52, 53]. We demonstrated that early induction of SOCS3 by H. pylori is dependent on an intact T4SS as well as MAPK p38, but independent of TLR2, TLR4, MEK1/2 and the JAK/STAT pathway. This raises the question whether p38 phosphorylation and SOCS3 expression are stimulated by a specific cytokine milieu created immediately upon infection with H. pylori wt. Accordingly, we could demonstrate that H. pylori wt, but not the ΔCagPAI mutant, directly activates transcription of TNFα, which in turn results in upregulation of SOCS3. These data are in line with a study describing that p38 activation via TNFα enhances SOCS3 mRNA stabilization and thus its expression in murine fibroblasts [41]. However, it remains unclear whether TNFα expression, and thus p38-mediated SOCS3 expression, is stimulated by structural components of the T4SS or by injected factors. In this regard, quantitative phospho-proteomics data suggest that phosphorylation of p38 is independent of cagA translocation [54]. Accordingly, newer studies show that the LPS heptose core molecule ADP heptose is also injected via the T4SS into infected cells and triggers TIFA-dependent p38 signaling [55, 56].
As mentioned above, H. pylori specifically increases SOCS3 at early time points. This is in contrast to stimulation of DCs with conventional E. coli LPS, where we observed rapid upregulation of both SOCS1 and SOCS3. The synchronized regulation of SOCS1 and SOCS3 expression in DCs and macrophages has been reported by numerous studies employing purified TLR agonists, like LPS or CpG [57, 58], but also in response to bacterial infection with pathogens, including Salmonella enterica, Chlamydia pneumoniae and Mycobacterium tuberculosis [59–61]. In this respect, SOCS1 expression in macrophages has been implicated in hampering of bacterial clearance during Mycobacterium tuberculosis and Chlamydia pneumoniae infection while also protecting the host from excessive pathogen-induced inflammation [61]. However, the role of SOCS3 in innate inflammation is less well understood and our observation that H. pylori specifically induces SOCS3 expression raises the question of the consequences of selective SOCS3 expression. Murine bone-marrow-derived DCs overexpressing SOCS3 were shown to express low levels of MHC II and CD86, and low levels of IL-12 and IL-23, upon stimulation with LPS [28]. Consistent with this, we showed that human DCs lacking SOCS3 secrete higher amounts of IL-12, IL-23 and IL-1β, while we also detected increased expression of the anti-inflammatory cytokine IL-1RA. We also observed increased H. pylori-induced secretion of TNFα and IL-27 as well as enhanced levels of PD-L1 upon SOCS3 silencing. The upregulation of PD-L1 might be a result of pronounced TNFα and/or IL-27 secretion, as recent studies described that both cytokines support PD-L1 expression [62, 63]. Whereas TNFα was shown to enhance PD-L1, but not PD-L2, in a NF-κB-dependent manner [62], IL-27 stimulation was found to be related to PD-L1 upregulation in various immune cells, including human monocytes and DCs [63]. Additionally, SOCS3 overexpression has been reported to result in decreased levels of IL-27-induced PD-L1 expression [64], which suggests that SOCS3 plays a role in limiting PD-L1 expression. To test whether DC-specific SOCS3 deficiency also influences consequential T-cell responses, we performed co-culture experiments where we observed decreased T-cell proliferation as well as decreased IFNγ secretion by CD4+ T cells upon SOCS3 silencing. This observation is in line with a study from Gao et al., who demonstrated that in a model of Mycobacterium tuberculosis infection, antigen-presenting cells lacking SOCS3 were poor inducers of mycobacterial-specific T-cell responses [65].
Conclusions
In conclusion, we demonstrated that H. pylori regulates SOCS3 during early infection and that this process requires an intact T4SS system and TNFα-mediated activation of p38. Our results further suggest that hijacking of DC signaling cascades and consequential upregulation of SOCS3 modulates T-cell responses upon H. pylori infection.
Supplementary information
Abbreviations
- DC
Dendritic cell
- MAPK
Mitogen-activated protein kinase
- moDC
Monocyte-derived dendritic cell
- MOI
Multiplicity of infection
- PBMC
Peripheral blood mononuclear cell
- PD-L1/2
Programmed death ligand 1/2
- SOCS
Suppressor of cytokine signaling
- STAT
Signal transducer and activator of transcription
- TLR
Toll-like receptor
- T4SS
Type IV secretion system
Authors’ contributions
TN, MS and JHH conceived and designed the experiments and wrote the paper, MS and TN performed the experiments, JV and SS analyzed the public genomic datasets, MMK IKG analyzed data and contributed to co-culture experiments, GP and SW analyzed data and contributed to the H. pylori infection experiments, JHH obtained funding for the study. All authors reviewed and approved the final version of the manuscript.
Funding
This work was supported by the Austrian Science Fund (FWF, Grant P 29941), the American Association of Immunologists, Grant AI0615_P and the Cancer Cluster Salzburg (CCS) Grant Nr. 20102-P1601064-FPR01–2017.
Availability of data and materials
The datasets used and/or analyzed in the present study are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
All studies involving human cells were conducted in accordance with the guidelines of the World Medical Association’s Declaration of Helsinki. Since national regulations do not require informed consent in the case of anonymous blood cells discarded after plasmapheresis (buffy coats), no additional approval by the local ethics committee was required.
Consent for publication
Not applicable.
Competing interests
None of the authors report any conflicts of interest related to this work.
Footnotes
Publisher’s Note
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Muamera Sarajlic and Theresa Neuper contributed equally to this work.
Supplementary information
Supplementary information accompanies this paper at 10.1186/s12964-020-00655-1.
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Associated Data
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Supplementary Materials
Data Availability Statement
The datasets used and/or analyzed in the present study are available from the corresponding author on reasonable request.