Abstract
The human gastric pathogen Helicobacter pylori activates human epithelial cells by a particular combination of mechanisms, including NOD1 and ALPK1-TIFA activation. These mechanisms are characterized by a strong participation of the bacterial cag pathogenicity island, which forms a type IV secretion system (CagT4SS) that enables the bacteria to transport proteins and diverse bacterial metabolites, including DNA, glycans, and cell wall components, into human host cells. Building on previous findings, we sought to determine the contribution of lipopolysaccharide inner core heptose metabolites (ADP-heptose) in the activation of human phagocytic cells by H. pylori. Using human monocyte/macrophage-like Thp-1 cells and human primary monocytes and macrophages, we were able to determine that a substantial part of early phagocytic cell activation, including NF-κB activation and IL-8 production, by live H. pylori is triggered by bacterial heptose metabolites. This effect was very pronounced in Thp-1 cells exposed to bacterial purified lysates or pure ADP-heptose, in the absence of other bacterial MAMPs, and was significantly reduced upon TIFA knock-down. Pure ADP-heptose on its own was able to strongly activate Thp-1 cells and human primary monocytes/macrophages. Comprehensive transcriptome analysis of Thp-1 cells co-incubated with live H. pylori or pure ADP-heptose confirmed a signature of ADP-heptose-dependent transcript activation in monocyte/macrophages. Bacterial enzyme-treated lysates (ETL) and pure ADP-heptose–dependent activation differentiated monocytes into macrophages of predominantly M1 type. In Thp-1 cells, the active CagT4SS was less required for the heptose-induced proinflammatory response than in epithelial cells, while active heptose biosynthesis or pure ADP-heptose was required and sufficient for their early innate response and NF-κB activation. The present data suggest that early activation and maturation of incoming and resident phagocytic cells (monocytes, macrophages) in the H. pylori–colonized stomach strongly depend on bacterial LPS inner core heptose metabolites, also with a significant contribution of an active CagT4SS.
Introduction
The bacterium Helicobacter pylori is a chronic human pathogen of major global importance, since about half of the world population carry this bacterial species in their stomach (). H. pylori colonizes primarily the gastric crypts and interacts with the gastric epithelial cell layer. The interaction of H. pylori with epithelial cells, primarily of gastric origin, has been very well studied in the past. It is known that H. pylori adheres to gastric epithelial cells very specifically, using several different bacterial surface adhesins (bacterial outer membrane proteins), such as AlpA/B, SabA, and BabA/B, HopQ (–). On the host (human) side, various receptors, including Lewis antigens (), cellular integrins, and carcinoembryonic antigen-related cell adhesion molecules (CEACAMs) (–) are involved in the interaction. H. pylori activates gastric epithelial cells by different innate immune pathways upon intimate cell adherence, involving, among others, TLR2 (), TLR9 (, ), NOD1 (), and NLRP3 (, ) receptors and the newly described ALPK1-TIFA dependent pathway (–), which lead to the activation of diverse downstream proinflammatory signaling pathways (, ). The ALPK1 pathway is activated mainly by bacterial inner core lipopolysaccharide heptose metabolites, heptose-1,7-bisphosphate (HBP) and, predominantly, ADP-glycero-ß-d-manno heptose (ADP-heptose), which have been reported to interact directly with the kinase ALPK1, resulting in TIFAsome formation and NF-κB activation (, , ). TLR4 and TLR5 cellular receptors, widely present on epithelial cells, appear to be less activated by the bacteria, since the respective bacterial surface molecules (microbe-associated molecular patterns [MAMP]) of H. pylori, lipopolysaccharide (LPS/lipid A) and flagellins, have evolved to low activation potential (, –). Another very well-studied cell interaction module of H. pylori with respect to gastric epithelial cells is the cag pathogenicity island (cagPAI). The presence of the cagPAI determines the extent of gastric inflammation and subsequent disease severity in patients () and in animal models (). This large genetic element is located on the H. pylori genome in about 70% of all global isolates () and encodes a membrane-spanning secretion system of the type IV (CagT4SS) (–). The Cag secretion system is expressed by H. pylori in the stomach (, ) and can translocate various small molecules into gastric epithelial cells, including bacterial DNA (), the NOD1 innate receptor ligand ieDAP () and lipopolysaccharide (LPS) heptose precursors, HBP and ADP-heptose (, ). These small molecule metabolites contribute to different extents and at different times to the epithelial cell activation and modulation by H. pylori (, , , , ). A substantial portion of early NF-κB activation of epithelial cells by cagPAI-positive H. pylori appears to be mediated by the CagT4SS-mediated transport of inner core heptose metabolites into the gastric epithelial cells (–). At least two CagT4SS transported molecules, the oncogene CagA (–) and the peptidoglycan metabolite ieDAP (, ), provide signals of sustained, late cell activation (, ).
Little information is as yet available on the precise molecular mechanisms of interaction and crosstalk of H. pylori with human cells of the myeloid lineages, for instance the phagocytic and antigen-presenting cells (). The colonization niche of H. pylori deep in the gastric mucus layer and within the gastric crypts is characterized by the continuous presence and permanent low-level influx of cells of the myeloid and lymphatic lineages. The immigration of phagocytic cell types, for instance, macrophages and neutrophils, is increased during H. pylori-induced inflammation (). The myeloid and lymphoid cell lineages that H. pylori can contact in the gastric mucosa comprise antigen-presenting cell types such as macrophages or dendritic cells, which are probing the mucosa-adherent bacteria or migrating into the mucosa in response to inflammation and cytokines. Neutrophils are attracted to the site of infection, once H. pylori have activated local proinflammatory signaling, leading to the secretion of chemokines such as IL-8 (, ). It is known that NLRP3 plays a role both for IL-1β production by phagocytic cells in response to H. pylori and for bacterial suppression by the immune system in vivo (, ). The bacterial cagPAI is known to be important for the interaction of macrophages with H. pylori, even in the absence of TLR signaling (). Furthermore, it was reported that H. pylori directly interacts with stem cells in the depth of gastric crypts (, ).
On the basis of the recent discovery of novel cell activation pathways by H. pylori, involving the intracellular activation of the ALPK1-TIFA axis and the formation of TIFAsomes, mediated by the inner core LPS heptose metabolite ADP-heptose (–, ), we have now asked the question, how this specific cellular activation pathway contributes to the early and sustained activation and maturation of human cells of the phagocytic lineage, using the human monocyte-like cell line Thp-1 (, ) as a model. We demonstrate here that the cagPAI-dependent heptose metabolite-triggered early innate activation contributes to a significant extent to cell activation and maturation of human Thp-1 cells and also activates primary human monocytes and monocyte-derived primary macrophages. We also underline and broaden these results by comprehensive transcriptome analyses of heptose- or bacteria-co-incubated Thp-1 cells.
Materials and Methods
Bacterial Strains and Cultivation
H. pylori bacteria of different strains and mutants (Table 1) were cultured under microaerobic conditions (Anaerocult C sachets by Merck) on blood agar plates (Oxoid Blood Agar Base No.2) including 10% horse blood (Oxoid) and the antibiotics (all purchased from SIGMA) amphotericin B (4 mg/L), polymyxin B (2,500 U/L), vancomycin (10 mg/L), trimethoprim (5 mg/L), chloramphenicol (optional; 5 mg/L), and kanamycin (optional; 10 mg/L). Brain Heart Infusion broth (BHI, Becton-Dickinson) supplemented with 5% horse serum (Thermo Fisher Scientific-Gibco) was used for liquid culture of H. pylori strains. Routinely, bacteria were cultured at 37°C for 20 h to 24 h on blood agar plates in anaerobic jars, supplemented with humidified Merck Anaerocult C sachets, or in incubators under microaerobic atmosphere (10% CO2, 5% oxygen, 85% nitrogen) and passed to fresh plates at least on every second day. Liquid cultures were incubated under microaerobic atmosphere with shaking until mid-log phase (OD600 between 0.5 and 1.0), for the collection of culture supernatants. Enzymatically treated lysates (ETLs), enriched in metabolites, were prepared as in ().
Table 1
| Strain name | Origin | Description | Reference |
|---|---|---|---|
| H. pylori (HP) N6 wt | hpEurope; site of isolation = France | Wild type strain, cagPAI-positive | () |
| HP N6 cagY (HP0527) | hpEurope | Allelic exchange-insertion mutant (HP0527) (cagY) in strain N6 | () |
| HP N6 858 (HP0858) (hldE) | hpEurope | Allelic exchange-insertion mutant (HP0858) (hldE) in strain N6 | () |
| HP N6 858 (HP0858) comp | hpEurope | HP0858 gene complementation in rdxA locus of HP0858 knockout strain N6 | () |
| HP 26695a (88-3887) wt | hpEurope; site of isolation = USA | Wild type strains, cagPAI-positive | () |
| HP 26695a ΔcagPAI | hpEurope | cagPAI complete deletion by allelic exchange in strain HP 88-3887 (plasmid pCJ324) | () |
| HP 26695a cagA | hpEurope | cagA allelic exchange insertion mutant in strains HP 88-3887 | () |
| HP L7 wt | hpAsia2, South Asia, India | Wild type strain, cagPAI-positive | () |
| HP J99 wt | hpAfrica1, North America | Wild type strain, cagPAI-positive | (, ) |
| HP TAI196 wt | hpEastAsia | Wild type strain, cagPAI-positive | () |
| HP Africa2 wt | Africa2 | Wild type strain, primary cagPAI-negative | () |
| HP Su2 wt | hpNEAfrica, Northeast Africa, Sudan | Wild type strain, cagPAI-positive | () |
Bacterial strains and description.
Cell Lines and Culture Conditions
In this study, we used the human monocyte leukemia cell line Thp-1 (ATCC TIB202 (, ). Thp-1 cells are widely used as a model for monocyte-macrophage-like cells and can be differentiated into active macrophages, for instance using phorbol-12-myristate-13-acetate (PMA, Sigma-Aldrich) treatment (). For priming, we applied PMA (50 ng/well (); for 2 days to Thp-1 cells, then gave them a one-day resting period, and then co-incubated the cells with the bacteria on the fourth day, for 4 h. In addition, we employed the NF-κB reporter cell line Thp1_luc (kindly provided by Karsten Tedin) for quantitating NF-κB-dependent responses, and the NLRP3-deficient Thp-1 cell line derivative Thp-1 dNLRP3def (Invivogen). All cell lines were cultured in RPMI1640 medium (buffered with 20 mM Hepes, Glutamax; Thermo Fisher Scientific - Gibco) supplemented with 10% FCS (PromoCell) and, in the case of Thp1_luc cells, were additionally supplied with 0.5 µg/ml puromycin (except when co-incubated with live bacteria or bacterial products). Cells were routinely cultured in a 5% CO2 atmosphere incubator. Co-incubation times for each experimental setting are indicated in the figure captions and in the results.
Co-Culture of Cells With Live Bacteria or Bacterial Products
Co-incubation experiments cells with Thp-1 cells were conducted in either 96-, 24- or 6-well cell culture plates (Greiner BioOne). Thp-1 cells were seeded into fresh RPMI1640 medium 1 h prior to co-incubation with bacteria. Exponentially growing H. pylori were harvested from plates and, via OD600 quantitation, adjusted to the respective multiplicities of infection (MOI) of live bacteria (5, 10, or 25, as detailed for each experiment in the results and respective figures) in RPMI1640 medium containing 10% FCS. Subsequently, macrophages were co-incubated with various bacterial strains, and cell interaction was synchronized using centrifugation (300 × g, 5 min at RT). We chose different co-incubation periods for each type of experiment: For the NF-κB luciferase reporter cell assay, co-incubation was carried out for 4 h. In the case of intended RNA-isolation, cells were co-incubated with bacteria or bacterial products for 8 h. For ELISA cytokine measurements, co-incubations were conducted for 20 to 22 h, before we harvested the cleared cell culture supernatants. Mock-infected cells were used as negative control in each experiment, and Pam3Cys-SK4 (PAMCys, a canonical TLR2 ligand; stock solution of 20 ng/µl) (Invivogen), adjusted to cell number and medium volume in each well plate (standard dilution of 20 ng/50 µl of medium), was co-incubated with cells in each experiment as positive control. In case of comparisons between experiments of the same type, PAMCys coincubation was also used as a normalization control. For further analysis of co-incubated cells via RNA-based methods or ELISA, cell pellets and supernatants were harvested and the latter cleared by centrifugation (13,000 × g, 2 min, RT).
Cells were co-incubated with bacterial enzyme-treated lysates (ETLs) at different amounts (volumes between 1 and 50 µl), normalized to bacterial numbers and culture volumes, prepared as outlined in (). For 96-well co-incubations, we usually used 2.5 µl of bacterial ETL per well (50 µl volume). In 24-well plates, 50 µl of bacterial ETL per 1 ml culture volume were added. By titration in Thp_luc cells, we estimated that 2.5 µl of ETL contained approximately 2.5 µM active heptose metabolites, since the activation was equivalent. Cells were also challenged with pure ADP-heptose (J&K, China) and Pam3Cys-SK4 (Invivogen; activation positive control and normalization control) at concentrations indicated in the results text and figure legends, respectively. To control for cell death, e.g. by pyroptosis, cells during the co-incubation period of 20 h were subjected to a fluorescent live-dead cytotoxicity assay according to the manufacturer’s instructions (CellTiter-Blue Cell Viability Assay; Promega). The results for the different control and co-incubation conditions (bacteria, ADP-heptose) did not show significant signs of cell-death and were not different from the mock co-incubated control condition.
Cytokine Measurements
We quantitated the following cytokines released into cell supernatants using ELISA measurements: human IL-8 (BD OptEIA set #555244), human IL-1β (BD OptEIA set #557953), human IL-10 (DuoSet ELISA R&D #DY217B-05), human IL-6 (BD OptEIA set #555220), human CCL4 (DuoSet ELISA R&D Systems #DY271-05), human IFN-γ (BD OptEIA set #555142). Cytokine secretion into cell supernatants was quantitated using the above commercial ELISA sets and included standard dilutions according to the manufacturer’s instructions. Appropriate dilutions of the cell supernatants for each assay were determined by suitable pre-testing.
Luciferase Quantitation in Reporter Cells
To quantitate luciferase in NF-κB reporter cells, the Steady-Glo Luciferase Assay System (Promega) was used. Briefly, the lysis buffer-substrate mixture of the system was added to each well and the lysis was allowed to proceed as recommended by the manufacturer’s instructions [see also ()]. Lysed cells were analyzed for photon counts within 10 min after the lysis using a Clariostar multi-well reader (BMG Labtech) in luminescence mode (acquisition of photons for 10 s, no filter); output is quantitated as counts per second.
RNA Isolation, cDNA Synthesis and Transcriptome Sequencing (RNA-Seq)
RNA was prepared from Thp-1 cells (monocyte/macrophages) grown in 6-well plates (ca. 2 × 106 cells per well) under co-incubation conditions with H. pylori N6 wild type and N6 858 hldE mutant (both co-incubated at MOI = 10) and with pure ADP-heptose (at a concentration of 5 µM) for 8 h.
In brief, cell pellets were collected after scraping and rinsing the cells from the plates by centrifugation at 22,000 × g, 1 min, at room temperature. Cell pellets were shock-frozen in liquid nitrogen and stored at −80°C. Total RNA was prepared from each cell pellet using a modified RNeasy spin column protocol (Qiagen, Hilden, Germany) after mechanical lysis in a Fastprep bead-beater (MP Biomedicals Inc., Santa Ana, CA, USA), at power setting 6 for 45 sec. The isolated RNA was quantitated and quality-assessed by photometric measurement, on agarose gels and by tape station (Agilent, Tape Station 4200, RNA nano kit, Agilent) quality controls. All RNAs were treated once with DNaseI (TURBO RNAse-free DNA removal kit; Ambion) according to the manufacturer’s protocol. PCR controls for human GAPDH were performed on each RNA sample pre- and postDNAse treatment to clarify that residual DNA had been removed successfully.
cDNA was routinely synthesized from 1 µg of total RNA, using a combination of random hexamer primers and oligo-dT T12-T18 primers (Invitrogen) and Superscript III reverse transcriptase (Invitrogen) at 42°C for 2 h.
Transcriptome sequencing and analysis was performed after careful quality control of each sample using Agilent tape station and Agilent Bioanalyzer, from 1 µg of total RNA of each sample, using the Illumina NextSeq 500 platform and enrichment of messenger RNAs using poly-T primers before library preparation (non-stranded libraries). The sequencing process was set for a read length of 50 bp on average in each cycle. The output primary raw reads were quality-filtered and trimmed (removal of primer sequences and barcoding) before further analysis.
Bioinformatics Analysis of RNA-Seq Data
Un-paired fastq files containing trimmed and quality-filtered reads of 50 bp on average for each experimental condition were collected from the sequencing platform (Illumina). For further transcriptome analysis, quality-filtered, trimmed reads were further processed via the CLC Genomics Workbench Version 10.1.1 or a higher version (QIAGEN Aarhus A/S). The sample size for all samples was defined to be an equal 2,000,000 reads, and all samples were downsampled (reproducible random setting for downsampling) to this read number. Subsequently, all remaining reads after downsampling were mapped against the human reference genome hg18 (Homo sapiens reference genome, ncbi database) in gene track mode (no transcript variants were recorded or analyzed). Read alignment settings were as follows (default settings):
Mismatch cost = 2
Insertion cost = 3
Deletion cost = 3
Length fraction = 0.8
Similarity fraction = 0.8
Strand specific = both
Maximum number of hits for a read = 10
Expression level options in the RNA-Seq module of CLC Genomics Workbench were set as follows: expression value = Total count; calculate RPKM for genes without considering differential transcripts. Quality control parameters from the sequencing and genome mapping were recorded and compared for all samples according to (Table 2). All samples displayed uniform and high-quality control parameters.
Table 2
| Parameters | (N) Thp-1 mock | (O) Thp-1 + N6 wt MOI10 | (Q) Thp-1 + N6 858 MOI10 | (Z) Thp-1 mock | (A1) Thp-1 + ADP-heptose 5 µM | (A2) Thp-1 mock | (B2) Thp-1 + ADP-heptose 5 µM | |
|---|---|---|---|---|---|---|---|---|
| Mapping statistics | Reads mapped (%) | 81.85 | 81.88 | 80.87 | 83.99 | 82.23 | 82.55 | 82.03 |
| Reads not mapped (%) | 18.15 | 18.12 | 19.13 | 16.01 | 17.77 | 17.45 | 17.97 | |
| Fragment counting | Unique (%) | 79.12 | 79.25 | 78.1 | 81.47 | 79.52 | 79.83 | 79.27 |
| Non-specifically (%) | 2.73 | 2.61 | 2.77 | 2.52 | 2.71 | 2.72 | 2.76 | |
| Counted fragments by type | Intergenic (%) | 11.17 | 10.79 | 11.65 | 9.56 | 10.26 | 7.72 | 8.03 |
Quality control parameters of comprehensive transcriptome sequencing (RNA-Seq).
RPKM (reads per kilo base [gene length] per million [read count]) values were used for the expression level analysis and further comparisons between samples, as implemented in CLC Genomics Workbench. Differential expressions of all conditions were calculated for all conditions with mock samples as the reference condition, which served as control group. For Venn diagram generation of comparisons between conditions, differential expression values with an absolute fold-change higher than two, four or eight, as indicated in the respective figures and tables, were taken into consideration. The full results of differentially expressed transcripts are shown in Supplementary Tables S1 and S2. The complete transcriptome results are accessible under project no. PRJNA685657 at ncbi.
For protein network analysis from the resulting transcriptome data, the STRING database [https://string–db.org/, ()] was used. Highly differentially expressed genes overlapping between different samples (threshold of two-fold, four-fold or eight-fold regulated) were uploaded into the platform. Network analysis was performed with a minimum required interaction score of medium confidence (0.004), and only query proteins were allowed to be shown as maximum number of interactions. An absolute fold-change of four-fold or eight-fold regulated transcripts (up- or down-regulated) was used as a threshold to provide a selection of regulated transcripts for further analysis and visualization in STRING as shown in the figures (Figure 3; Supplementary Figure S6; ball diagrams).
The following STRING settings were used: Proteins with Values/Ranks: minimum required interaction score: medium confidence (0.004); maximum number of interactions to show: 1st shell: none/query proteins only; 2nd shell: none. The level of confidence and the maximum number of interacting proteins were set at 0.4 and 5, respectively.
Quantitative Real-Time PCR
We performed quantitative (q)RT-PCR as described previously (). Briefly, (q)RT-PCR was performed on pretested amounts of cDNA specific for each transcript (between 0.5 and 2.5 µl per reaction) using gene-specific primer pairs for human genes (Qiagen Quantitect primer set; primers see Table 3), ultrapure water and SYBR Green Master Mix (Qiagen). We performed the reactions in a BioRad CFX96 real-time PCR system (BioRad, Hercules, USA). Quantitation of specific mRNA transcripts in the samples was carried out in technical triplicates. Standards for quantitation in each run stemmed from gene-specific PCR products amplified with the same primers. Results were equalized to 0.5 µl cDNA input and normalized to human GAPDH transcript of each condition, using the Hs_GAPDH transcript amounts from mock-co-incubated cells as reference condition. The MiQE quality settings applied for each qPCR were as described in ().
Table 3
| Name | Gene Symbol | Cat. No |
|---|---|---|
| Hs_CXCL8_1_SG | CXCL8 | QT00000322 |
| Hs_IL1B_1_SG | IL1B | QT00021385 |
| Hs_ALPK1_1_SG | ALPK1 | QT00100842 |
| Hs_CCL4_1_SG | CCL4 | QT01008070 |
| Hs_TLR2_1_SG | TLR2 | QT00236131 |
| Hs_NLRP3_2_SG | NLRP3 | QT01666343 |
| Hs_GAPDH_2_SG | GAPDH | QT01192646 |
| Hs_NOD1_1_SG | NOD1 | QT00054082 |
| Hs_TIFA_1_SG | TIFA | QT00212779 |
| Hs_IRF3_1_SG | IRF3 | QT00012866 |
| Hs_IRF7 (RT2) | IRF7 | PPH02014F (RT2) |
qPCR primers for human genes (Quantitect or RT2—Qiagen).
Isolation of Primary Human PBMCs and CD14+ Cells
Human PBMCs were isolated from human blood using negative depletion via the MACsPrep PBMC Isolation Kit (negative selection) from 40 ml of whole, serum-depleted anticoagulated blood from healthy donors obtained anonymously from a commercial blood bank. For the isolation of primary CD14+ blood monocytes from PBMCs or directly from whole blood/plasma apheresis specimens of anonymous healthy human donors (blood bank), human CD14+ beads (Miltenyi Biotech, Germany), were used in a positive selection protocol as described in the manufacturer’s manual. Alternatively, the selection of primary monocytes from PBMC by plate adherence protocol for monocyte enrichment was used according to (). After isolation, the monocytes were rested for 24 h in fresh RPMI 1640 supplemented with penicillin/streptomycin and 10% FCS, and then co-incubated with pure ADP-heptose for 20 h at various concentrations indicated in the figure legend. Alternatively, CD14+ monocytes were differentiated with macrophage-colony-stimulating factor (human M-CSF; Peprotech, Germany) for seven days, with one medium change in between. At the end of the differentiation period, cells were visually inspected to be positive for phenotypic maturation, well adherence and colony formation, the medium was changed again to fresh medium (without penicillin-streptomycin and M-CSF) and cells were co-incubated with pure ADP-heptose, PAMCys (positive control for activation), live H. pylori bacteria or bacterial treated lysates (ETLs), as indicated in the figure legend, for 4 h. Subsequently to the co-incubations, cell supernatants were collected for cytokine measurements, and cell pellets were collected for RNA isolation. Monocyte purity was verified as follows: collected monocytes were washed once with PBS and resuspended in staining solution (50 µl), consisting of FACS buffer (PBS, 1% FBS, 2 mM EDTA) and α-CD14 Ab (PE clone: M5E2 BD; 555398), and incubated for 20 min at 4°C. Cells were again washed and resuspended in 100 µl FACS buffer. Finally, stained cell suspensions were analyzed in a BD FACS Lyric (Becton, Dickinson and Company).
siRNA Knock-Down in Thp-1 Cells
For siRNA knock-down of human TIFA transcript in Thp-1 cells, we used the Flexitube Qiagen siRNA Assays, containing four different validated siRNA variants against human TIFA (Flexitube GeneSolution: Hs_TIFA-6, Hs_TIFA-7, Hs_TIFA-8, Hs_TIFA-9, each at 10 µM stock concentration), according to the manufacturer’s instructions. Thp-1 cells (2 × 105 per well) were transfected with siRNAs using the LONZA nucleofector kit SG (nucleofector 4D), with 1.25 µM of siRNA Mix for each siRNA per well (5 µM total of siRNA per well if all were combined, in strip well transfection cuvettes). Immediately after nucleofection, all cells from each cuvette well were resuspended in 1 ml of fresh medium (RPMI1640, 10% FCS) per well, each seeded in 24 well plates, and let acclimatize for 72 h. For each experiment, transfection mix for mock transfection (transfection agent without RNA) and Allstars Negative Control siRNAs Mix (Qiagen) were transfected in separate wells alongside, as negative controls for the knock-down. After 72 h, the cells were again incubated in fresh medium and subsequently incubated in the presence of pure ADP-heptose (5 µM per well), as indicated in the figure captions. At the end of the co-incubation period, cells were gently scraped off the wells, collected including their supernatants, which were then harvested by centrifugation for cytokine ELISA. Cells recovered in the pellets by centrifugation from the supernatants were immediately resuspended in RNA-Later (Agilent) for undamaged RNA isolation. RNA was subsequently isolated from each cell pellet as described above, quality-tested, and used to verify the specific knock-down by qRT-PCR for TIFA transcript (normalized in each condition to Hs_GAPDH transcript). For luciferase detection after siRNA transfection, Thp1_luc cells (2 × 105), containing the NF-κB luciferase reporter, were transfected with siRNA or mock as described above in one strip well, then each transfection well was distributed further into 5 wells of a 96-well plate, in 100 µl of medium (final cell count per well of ca. 4 × 104). The cells were again kept for 72 h for expressing the siRNA. Subsequently, medium was changed to 50 µl fresh RPMI, the cells were co-incubated with pure ADP-heptose for 4 h and then subjected to lysis and luciferase measurement (Promega Steady-Glo firefly luciferase substrate).
Results
Live H. pylori Activates Thp-1 Monocyte/Macrophage Cells, Dependent on Active Heptose Biosynthesis
On the basis of previous results using human epithelial cells (, ) we wanted to verify, whether live H. pylori bacteria activate phagocyte-like cells using similar pathways or metabolites. We used Thp-1 cells as a model. Thp-1 is a human monocyte leukemia cell line that differentiates into macrophages upon phorbol-12-myristate-13-acetate (PMA) treatment (). Thp-1 cells have been used extensively to study monocyte/macrophage signaling pathways, responses and phagocytosis mechanisms (, ). In these assays, we also wanted to assess at the same time, whether the bacteria engage predominantly TLR-mediated (, , ), NLR-mediated (–), or (ADP-)heptose metabolite-mediated recognition (, , ), in order to activate phagocytic cells at early time points. We initially co-incubated Thp-1 cells with live H. pylori bacteria for different time periods. We used different H. pylori strains and mutants, including mutants deficient in the CagT4SS and mutants deficient in the LPS-heptose biosynthesis pathway () for the cell activation. Thp-1 monocyte-like cells were alternatively pretreated (primed with PMA) to differentiate them into an adherent, macrophage-like cell type, or not pretreated, before co-incubating them with live H. pylori. IL-8 cytokine release into the cell supernatant was quantitated, as an outcome of either IL-1/TLR receptor pathway activation or as a marker for LPS core heptose activation in the cells. In addition, IL-1β secretion by the cells and transcript amounts were determined, as IL-1β is a signature cytokine for combined IL-1/TLR and NLR pathway and inflammasome activation. When we co-cultured non-primed Thp-1 cells with live H. pylori bacteria for at least 8 h (20 h time point shown (Figure 1A), the cells started to morphologically differentiate into an adherent cell type, corresponding to a macrophage-like cell morphology. IL-8 cytokine secretion was determined by ELISA. The amount of IL-8 released at 20 h post-co-incubation was partially associated with an active cagPAI and strongly correlated with active LPS heptose biosynthesis (Figure 1). Cell activation by heptose (hldE) mutants in this setting was significantly lower than by parental wild type bacteria, but significantly higher than for mock-co-incubated cells. Likewise, IL-1β release upon H. pylori co-culture was influenced by heptose biosynthesis (Figure 1). While the non-differentiated Thp-1 cells did not produce detectable amounts of IL-1β in response to H. pylori at early time points below 8 h (not shown), they released low amounts of IL-1β at 20 h co-incubation, which was significantly higher than under the mock-co-incubated conditions (Figure 1). IL-1β release was less associated with the CagT4SS, and cagPAI and heptose (hldE) mutants still provoked a significantly higher IL-1β release by Thp-1 cells than mock conditions. In the setting without prior cell priming, the differential proinflammatory response of phagocyte-like cells to H. pylori was exquisitely MOI-dependent (Supplementary Figure S2), although the heptose mutants activated the cells significantly less than wild type bacteria at all MOIs up to 25. Various wild type strains at the same MOI activated the Thp-1 cells to a significantly different extent at 20 h post co-incubation (p.c.) (Figures 1C–E). cagA mutants did not show a significant difference in cell activation in comparison to wild type bacteria in any of the settings, while ΔcagPAI mutants or T4SS-inactive (cagY) mutants showed a significantly reduced activation potential (IL-8 release) as compared to the parental wild type strain (Figure 1). It is known that bacterial heptose metabolites such as ADP-heptose can activate cellular NF-κB at early time points (, , , ), which, in gastric epithelial cells co-incubated with live H. pylori, is mediated by an active CagT4SS (). Subsequent results that we gathered from co-incubation experiments with a Thp1_luc NF-κB luciferase reporter cell line, which allows to specifically quantitate NF-κB activation (), underlined that, also in the monocyte/macrophage cells, the early NF-κB response induced by live H. pylori is strongly heptose- and CagT4SS-dependent; heptose biosynthesis mutants (hldE), ΔcagPAI (complete T4SS-deficient) and cagY (T4SS functionally deficient) mutants were strongly impaired in inducing NF-κB activation (Figure 1D). In addition, we determined a remarkable diversity between different H. pylori wild type strains to induce NF-κB specifically in the non-preprimed luciferase reporter cells (Figure 1). Live H. pylori also activated NF-κB in a strongly CagT4SS- and heptose-dependent manner (Figure 1). This effect paralleled the cytokine measurements, but clearly showed a more distinct difference between wild type and the cagPAI (cagY) or hldE mutant (Figure 1). hldE-complemented bacteria recovered the cell activation properties on Thp-1 cells (Figure 1E). In an alternative set-up, we also primed the Thp-1 cells prior to bacterial co-incubation using PMA (, ) or Escherichia coli LPS (not shown). While co-incubation with live H. pylori activated the pre-primed cells to produce increased amounts of IL-8 and more IL-1β as compared to mock-coincubation (Supplementary Figures S1A, B), both H. pylori wild type and all different mutants strongly and uniformly activated the cells. No significant reduction in cytokine release was observed for the CagT4SS mutants or the heptose biosynthesis mutants as compared to wild type bacteria in this setting (Supplementary Figures S1A, B). Interestingly, in the primed setting, for IL-1β release, the ADP-heptose-negative hldE mutant (HP0858-mut) showed even a significant increase in IL-1β release over the wild type bacteria, similar but stronger than in the non-primed conditions. However, in general IL-1β release in these settings was rather low, with or without PMA activation.
Figure 1
We also addressed the question, whether co-incubation with live H. pylori differentiated the Thp-1 monocytes rather to an M1-like (proinflammatory) or M2-like macrophage phenotype (, –). M1 macrophages tend to produce higher amounts of IL-6 (and IL-8) while M2 macrophages predominantly produce IL-10, less IL-6 or IL-8 (). M1 tend to upregulate STAT1, STAT2, and IRF5, while M2 rather increase STAT3, STAT6, IRF3, and IRF4 (). Thp-1 co-incubated with H. pylori (at MOI 10) produced copious amounts of IL-8 and, to a lesser extent IL-6 (Supplementary Figure S3), but produced no (at 8 h p.c.) or very low (at 20 h p.c.) amounts of IL-10. A trend to differentiation towards a proinflammatory M1 macrophage phenotype was also supported by the transcriptome results (see below), which showed an increased expression of M1-related upstream activator and M1-specific transcription factor genes such as STAT1, STAT2, and AP-1 () as well as IRF5 (), while M2-specific STAT6, IRF3, and IRF4 transcripts were rather downmodulated or not increased (Supplementary Figures S4A, B).
Early Activation of Cellular Signaling by H. pylori in Thp-1 Cells Is Directly Modulated by Heptose Metabolites and an Active CagT4SS; Free Heptose and Bacterial ETLs Can Activate in the Absence of an Active T4SS
Since live H. pylori bacteria activated monocytes to a macrophage-like phenotype, in a partially cagPAI- and heptose-dependent manner, we sought to determine whether the presence of the Cag injection apparatus or an injected molecule, most likely ADP-heptose, was the main contributing factor. We prepared H. pylori bacterial supernatants and bacterial enzyme-treated lysates (ETL) (), enriched in various metabolites including heptoses (), and comparatively tested pure ADP-heptose. Pure ADP-heptose dose-dependently activated Thp-1 cells to produce high amounts of IL-8 (Figure 2), but not IL-1β or IL-10 (not shown), at 20 h p.c. Since cellular NF-κB activation was directly correlated to prior ADP-heptose activation in previous studies of epithelial cells (, , ), we complemented this approach using the Thp1_luc NF-κB-luciferase reporter cells, which provide a direct and high-throughput detection and quantitation system for NF-κB activation. Pure ADP-heptose directly activated NF-κB in the Thp-1 reporter cells to a high extent at 4 h post-co-incubation and at later time points (not shown), similarly to PAMCys (TLR2 ligand) which we used as normalization and positive control condition (Supplementary Figure S3A).
Figure 2
In human epithelial cells, the CagT4SS seems to be required to transport heptose metabolite(s) into the cells when exposed to live bacteria (). However, free heptoses can activate epithelial cells in the absence of bacteria (). It was not known before for monocyte/macrophage-like cells, whether bacterial supernatants or bacterial metabolite-enriched lysates are able to activate in the absence of live bacteria. In order to determine, whether the soluble metabolites, including LPS heptose metabolites, produced by H. pylori are able to activate Thp-1 cells independently of transfection or a transport system, we prepared bacterial supernatants and ETL lysates (), from various H. pylori strains and mutants. We co-incubated Thp-1 NF-κB luciferase reporter cells with pure ADP-heptose, with selected H. pylori ETLs from wild type and mutants, or with bacterial supernatants. Pure, externally added ADP-heptose activated the cells and NF-κB signaling to a high extent and concentration dependently at 4 h post-co-incubation (Figure 2, Supplementary Figure S3A). Similarly, ETLs from wild type H. pylori added to the cell culture medium strongly activated NF-κB (Figures 2B). This activation potential in Thp-1 cells was very similar for ETLs derived from wild type strains and CagT4SS-deficient mutants (Figure 2C). In contrast, ETLs generated from heptose-negative hldE mutants activated NF-κB to a significantly lower extent (Figure 2), only slightly more than the activation recorded in mock-co-incubated cells. Bacterial supernatants, heptose-dependently and strain-dependently, also activated Thp-1 luciferase cells, but considerably less than ETLs (Supplementary Figure S3C), indicating that the intact bacteria grown in the absence of cells release only low amounts of free heptose metabolites into the medium. Free NOD1 or NOD2 ligands as well as purified bacterial DNA (TLR9 ligand) did not activate the Thp-1 cells in this setting (Supplementary Figure S4), indicating that NOD and TLR9 signaling do not play a role to activate Thp-1 cells.
In order to block phagocytic uptake, the cytoskeleton modulator cytochalasin D (CytD) was used in co-incubation experiments. CytD inhibited the induction of IL-8 secretion in Thp-1 cells co-incubated with pure ADP-heptose, however only by about 30% (Supplementary Figure S3D). This was also true for PAMCys co-incubation, exemplarily used with the intent to activate the IL-1/TLR (TLR2) response pathway (Supplementary Figure S3D). Similarly, cagPAI- and heptose-dependent effects of NF-κB induction upon co-incubation with H. pylori ETLs or live H. pylori in Thp-1 cells were partially, but not completely, inhibited by CytD. We also addressed the question, whether phagocytic uptake in general was influenced by heptose metabolite exposure of the cells. We incubated Thp-1 cells with microbeads in the absence or presence of pure ADP-heptose for 20 h (Supplementary Figure S4E). Beads were taken up by the cells and no significant difference in bead uptake between heptose-co-incubated or heptose-free beads was determined (Supplementary Figure S4E).
Primary Human Monocytes and Matured Primary Macrophages Are Activated by Pure ADP-Heptose, and H. pylori Heptose Biosynthesis Competence Codetermines Activation Potential
In order to verify that H. pylori can activate primary human phagocytes in a heptose-dependent manner, as determined before in co-incubated Thp-1 cells for pure ADP-heptose and bacteria, we isolated primary CD14-positive monocytic cells from human peripheral blood. We co-incubated the purified primary human monocytes directly with pure ADP-heptose, without further maturation, at different concentrations for 20 h (Supplementary Figure S5). The outcome clearly demonstrated a significant and concentration-dependent activation of the non-differentiated CD14+ cells by pure ADP-heptose (Supplementary Figure S5A), similar to the co-incubated Thp-1 cells. In addition, we differentiated the CD14+ cells to human monocyte-derived macrophages (hMDMs) for seven days by pre-incubation with M-CSF, and then subjected them to pure ADP-heptose at different concentrations (Supplementary Figure S5B), or co-cultured them with live bacteria, for 4 h. In the matured hMDMs, we observed as well a significant activating effect of pure ADP-heptose (Figure 2D, Supplementary Figure 5B). hMDMs co-incubated with live bacterial strains or treated bacterial lysates enriched in metabolites (ETL) showed a clear difference between a heptose-positive wild type strain and an isogenic hldE- mutant (Figure 2D, Supplementary Figure 5C). These activation effects were similar for primary monocytes and differentiated hMDMs obtained from independent donors.
Regulation of the Genome-Wide Transcriptome in Thp-1 Cells by H. pylori Is Strongly Dependent on the LPS Core Heptose Pathway and Is Partially Recapitulated by Pure ADP-Heptose
In order to obtain a comprehensive overview and compare transcript regulation induced by free ADP-heptose or by live H. pylori and its heptose metabolites in Thp-1 cells, we harnessed global transcriptome assays. Initially, we assessed the activity of free ADP-heptose co-incubation on the complete Thp-1 cell transcriptome. For this purpose, non-pre-differentiated Thp-1 cells were treated with free ADP-heptose (2.5 µM) for 8 h, RNA was isolated, and the comprehensive cellular transcriptome was analyzed by deep sequencing (RNA-Seq, Methods). For comparison to this primary core dataset, live H. pylori wild type bacteria and isogenic heptose biosynthesis mutants (hldE) were also co-incubated with the non-primed Thp-1 cells for 8 h. cDNAs generated from all these settings were then also subjected to transcriptome sequencing and analyzed. In this comprehensive analysis, ADP-heptose-co-incubated cells showed numerous differentially regulated transcripts in comparison to mock-co-incubated, which was directly related to ADP-heptose activation (Figures 3A, M, N; Supplementary Table S1). These experiments confirmed again that cell transfection was not necessary to provide ADP-heptose access to those cells. Signature transcripts of Thp-1 enhanced by ADP-heptose or live bacteria at the early time points encompassed il-8 (cxcl8), ccl2, ccl3, ccl4, and il-1β, but not il-6 or il-10 (Figure 3D, Table 3 and Supplementary Tables S1, S2). We also detected a substantial overlap of transcripts regulated by co-incubation of Thp-1 cells with either pure ADP-heptose or with live bacteria of H. pylori wild type (Figure 3B, Table 4 and Supplementary Table S2). Dominantly regulated transcripts by cell co-incubation with pure ADP-heptose (cut-off of eight-fold regulated) included a strong upregulation of NF-κB subunit genes for NFKB2 and RELB and downstream IL-8 and complement factor C3. Likewise, transcriptional coactivator BCL3, and OAS2, OAS3 genes involved in innate recognition of double-stranded RNA (), as well as CD40 and a macrophage glycan transporter gene of unknown specificity, SLC2A6, were strongly upregulated (Figure 3, Table 4). While about 340 differentially regulated transcripts (Figure 3M, Supplementary Table S2) overlapped between ADP-heptose-co-incubated cells and H. pylori wild type bacteria-exposed cells at a cut-off of two-fold regulated, pure ADP-heptose treatment (ca. 852 transcripts; Tables 1, 2) and Cag-positive H. pylori wild type bacteria (419 transcripts, Supplementary Table S2) also regulated a subset of specific transcripts differentially. Overlapping and distinct transcript regulation was also identified for a comparison of the respective comprehensive transcriptomes, between the genes differentially regulated over mock conditions by the hldE mutant and the parental wild type bacteria (Supplementary Figure S6, Supplementary Table S2). Numerous genes were differentially regulated between H. pylori wild type-co-incubated and H. pylori heptose-mutant-co-incubated cells (Figure 3). As expected, il-8 was among the differentially regulated genes/transcripts between mock and wild type bacteria as well as between ADP-heptose-co-cultured and mock cells, and between hldE and wild type bacteria-exposed. Despite the clear differences in transcript regulation between H. pylori wild type and hldE-mutant co-incubated cells, we also found a substantial overlap of regulation between those two conditions over mock, which were not quite comparable in strength of regulation, but encompassed a high number of similarly up-or downregulated transcripts (Supplementary Figure S6; Supplementary Table S2). Among the most strikingly differentially regulated transcripts between H. pylori-exposed and free heptose-treated cells was the downregulation of PYCARD/ASC transcript for live H. pylori versus mock, and the upregulation of the same transcript for the ADP-heptose-treated cells versus mock-treated.
Figure 3
Table 4
| Name | Thp-1 ADP-heptose vs. Thp-1 mock (A2B2) | Thp-1 + ADP-heptose vs. Thp-1 mock (ZA1) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Max group mean (RPKM) | Fold change | P-value | FDR p-value | Bonferroni | Max group mean (RPKM) | Fold change | P-value | FDR p-value | Bonferroni | |
| SLC2A6 | 6.59 | 92.71 | 2.13E-06 | 5.50E-04 | 0.08 | 10.85 | 43.8 | 6.81E-14 | 1.01E-11 | 2.50E-09 |
| OAS3 | 1.06 | 39.57 | 1.82E-07 | 6.59E-05 | 6.66E-03 | 4.1 | 30.75 | 0 | 0 | 0 |
| PLA2G4C | 0.29 | 31.58 | 3.48E-04 | 0.04 | 1 | 0.8 | 25.26 | 4.10E-10 | 3.55E-08 | 1.50E-05 |
| BCL3 | 3.09 | 22.37 | 1.42E-07 | 5.62E-05 | 5.22E-03 | 7.85 | 26.25 | 1.11E-16 | 2.31E-14 | 4.07E-12 |
| IL8 | 11.03 | 22.05 | 1.64E-07 | 6.14E-05 | 6.02E-03 | 26.84 | 24.76 | 2.22E-16 | 4.50E-14 | 8.15E-12 |
| CHST2 | 6.09 | 20.53 | 2.24E-05 | 4.08E-03 | 0.82 | 7.19 | 48.25 | 5.44E-05 | 1.46E-03 | 1 |
| RELB | 2.8 | 18.2 | 0 | 0 | 0 | 5.11 | 19.32 | 0 | 0 | 0 |
| C3 | 0.69 | 14.01 | 4.65E-07 | 1.47E-04 | 0.02 | 3.83 | 17.78 | 0 | 0 | 0 |
| CSF1R | 0.45 | 12.78 | 1.23E-06 | 3.40E-04 | 0.05 | 2.17 | 12.2 | 0 | 0 | 0 |
| MX1 | 1.62 | 11.1 | 9.13E-14 | 1.04E-10 | 3.35E-09 | 9.25 | 38.77 | 0 | 0 | 0 |
| OAS2 | 0.67 | 10.57 | 8.30E-06 | 1.73E-03 | 0.3 | 4.95 | 21.15 | 0 | 0 | 0 |
| CD40 | 2.94 | 9.88 | 4.67E-10 | 2.95E-07 | 1.71E-05 | 6.06 | 27.45 | 0 | 0 | 0 |
| NFKB2 | 19.06 | 9.26 | 0 | 0 | 0 | 25.58 | 14.96 | 0 | 0 | 0 |
| C1orf147 | 2.1 | 8.78 | 3.63E-04 | 0.04 | 1 | 6.21 | 4.45 | 1.11E-07 | 6.28E-06 | 4.09E-03 |
| NCF1 | 4.56 | 8.54 | 6.22E-15 | 8.45E-12 | 2.28E-10 | 17.92 | 33.25 | 0 | 0 | 0 |
| BTG2 | 7.22 | 8.11 | 4.57E-07 | 1.46E-04 | 0.02 | 24.38 | 10.19 | 0 | 0 | 0 |
| PLEKHO1 | 6.75 | 8.1 | 6.22E-15 | 8.45E-12 | 2.28E-10 | 6.53 | 12.71 | 2.89E-15 | 5.02E-13 | 1.06E-10 |
| FEZ1 | 1.22 | 7.83 | 7.77E-16 | 1.19E-12 | 2.85E-11 | 2.32 | 5.05 | 0 | 0 | 0 |
| GAS7 | 0.34 | 7.73 | 0 | 0 | 0 | 0.74 | 7.86 | 0 | 0 | 0 |
| FTHL16 | 367.92 | 7.43 | 0 | 0 | 0 | 997.03 | 13.9 | 0 | 0 | 0 |
| NCF1B | 2.22 | 7.33 | 9.22E-08 | 3.89E-05 | 3.38E-03 | 4.6 | 13.09 | 1.22E-15 | 2.27E-13 | 4.48E-11 |
| RP11-274P12.1 | 596.02 | 6.94 | 0 | 0 | 0 | 1,535.62 | 17.35 | 0 | 0 | 0 |
| RP4-646B12.2 | 844.59 | 6.87 | 0 | 0 | 0 | 1,637.92 | 11.85 | 0 | 0 | 0 |
| TNFAIP3 | 7.66 | 6.8 | 0 | 0 | 0 | 13.81 | 10.28 | 0 | 0 | 0 |
| IFI6 | 4.43 | 6.61 | 1.76E-06 | 4.59E-04 | 0.06 | 38.61 | 34.82 | 0 | 0 | 0 |
| PARP14 | 1.08 | 6.21 | 2.01E-11 | 1.64E-08 | 7.36E-07 | 5.52 | 12.39 | 0 | 0 | 0 |
| NFKBIA | 47.84 | 5.94 | 0 | 0 | 0 | 71.83 | 10.19 | 0 | 0 | 0 |
| PDGFA | 1.59 | 5.93 | 8.94E-08 | 3.81E-05 | 3.28E-03 | 0.98 | 6.58 | 7.73E-06 | 2.67E-04 | 0.28 |
| CYBB | 6.78 | 5.7 | 0 | 0 | 0 | 5.19 | 7.62 | 0 | 0 | 0 |
| LIMD2 | 35.69 | 4.98 | 0 | 0 | 0 | 66.45 | 6.31 | 0 | 0 | 0 |
| TRIM16L | 1.61 | 4.89 | 3.39E-05 | 5.67E-03 | 1 | 3.62 | 9.46 | 3.00E-11 | 3.08E-09 | 1.10E-06 |
| AKR1C1 | 4.08 | 4.76 | 2.42E-11 | 1.85E-08 | 8.87E-07 | 6.72 | 5.74 | 0 | 0 | 0 |
| MSC | 8.89 | 4.65 | 1.26E-05 | 2.50E-03 | 0.46 | 24.67 | 24.64 | 2.41E-14 | 3.83E-12 | 8.84E-10 |
| CD44 | 0.35 | 4.59 | 1.57E-06 | 4.17E-04 | 0.06 | 0.57 | 8.34 | 2.75E-12 | 3.29E-10 | 1.01E-07 |
| CD83 | 1.76 | 4.42 | 1.52E-06 | 4.11E-04 | 0.06 | 2.08 | 4.58 | 1.15E-07 | 6.43E-06 | 4.21E-03 |
| LPXN | 0.62 | 4.23 | 6.27E-06 | 1.39E-03 | 0.23 | 2.93 | 18.45 | 0 | 0 | 0 |
| MT2A | 68.46 | 4.21 | 7.99E-11 | 5.53E-08 | 2.93E-06 | 172.54 | 9.53 | 0 | 0 | 0 |
| TFEB | 0.65 | 4.15 | 2.56E-06 | 6.49E-04 | 0.09 | 1.37 | 6.73 | 3.44E-15 | 5.93E-13 | 1.26E-10 |
| TYMP | 32.11 | 4.15 | 0 | 0 | 0 | 63.05 | 12.66 | 0 | 0 | 0 |
| ME1 | 0.53 | 4.13 | 0 | 0 | 0 | 1.28 | 4.62 | 0 | 0 | 0 |
| OLIG2 | 17.97 | 4.1 | 3.40E-10 | 2.23E-07 | 1.25E-05 | 48.07 | 5.41 | 0 | 0 | 0 |
| XAGE1B | 6.71 | -6.55 | 1.48E-07 | 5.79E-05 | 5.44E-03 | 5.9 | -4.59 | 6.21E-06 | 2.19E-04 | 0.23 |
| RP11-350E12.1 | 5.82 | -9.53 | 2.00E-04 | 0.03 | 1 | 18.39 | -28.66 | 1.11E-08 | 7.51E-07 | 4.05E-04 |
Selected human gene transcripts regulated by ADP-heptose co-incubation of human monocyte/macrophage cells line Thp-1 (cut-off of fourfold regulated in comparison to mock, from two independent experiments [biological replicates]).
In order to compare transcript regulation for a wider range of cell-co-incubated mutants, a selected panel of transcripts, mainly such involved in the innate immune response, collected from the comparison of global transcriptomes, were subsequently verified using cDNAs generated from Thp-1 cells co-incubated with various H. pylori mutants (live bacteria) (Figures 3C–L). Amounts of transcripts of downstream regulated cytokines IL-8, IL-1β; and CCL4 were comparatively determined by qPCR for the cagY mutant (HP0527; CagT4SS functionally deficient), and the heptose HP0858 (hldE) mutant in addition to cells co-incubated with the parental bacteria (Figures 3C–E). We determined significant differences between the conditions, in particular between wild type- and mock- or HP0858 (hldE) mutant-co-incubated cells (decrease of cytokine transcripts). Interestingly, in qPCRs, which test for transcript amounts of cytokine genes (il-1β and il-8) as a marker for transcription factor, e.g. NF-κB, activation, not for cytokine release, the cagY mutant presenting with a defective CagT4SS did not show reduced IL-8 or IL-1β transcript amounts in comparison to wild type, in contrast to cytokine release. In contrast, the ADP-heptose-deficient HP0858 mutant always displayed reduced transcript amounts for those specific cytokine transcripts. This data strongly indicates that for cytokine transcript induction in the presence of free heptose metabolites, no active T4SS is required (indicating active metabolite uptake), whereas for cytokine release by live bacteria (as shown by ELISA in Figures 1, 2), even when the bacteria actively produce heptoses, an active bacterial transport system, provided by the CagT4SS, is necessary to strongly promote cytokine release. Other activities by the CagT4SS may influence cell/caspase-1 activation for cytokine release. Deficiencies in cellular cytokine release induced by the heptose HP858(hldE) mutant bacteria in contrast to the wild type bacteria, as outlined in the previous paragraphs, are therefore likely to result rather from a reduction of induction of primary cytokine transcript than from a defect of the CagT4SS. Defects of the H. pylori hldE mutant in cytokine transcript upregulation were completely reverted by complementing the HP0858 gene in trans in another (rdxA) locus of the bacterial chromosome (). Transcription factor NF-κB subunit transcript (NFKB2) was very strongly induced by both pure ADP-heptose and wild type H. pylori, but not by the hldE mutant in these settings, while TNFα transcript was not induced by ADP-heptose and not differently induced between parental wild type bacteria and hldE- bacteria. Comparative qPCR for a selection of genes coding for upstream receptors involved in heptose sensing and other innate immune pathways activated by H. pylori bacteria (NLRP3, ALPK1, TIFA, NOD1, TLR2; Figures 3F–J and 4) revealed that transcripts for these innate immune pattern recognition receptors (PRR) were not substantially changed under any of the tested co-incubation conditions over mock.
Figure 4
Except for TLR2, which was always strongly active in Thp-1 cells (see PAMCys controls used in most assays), the above-mentioned PRR as well as NOD2, TLR4, and TLR9 were not highly activated in Thp-1 cells (Supplementary Figures S4C, D). Mining the transcriptomes for M1- and M2-macrophage-specific signatures of transcripts in the transcriptomes revealed that co-culture of the Thp-1 cells with either wild type H. pylori or free ADP-heptose seemed to emphasize the induction of M1-related transcripts (Supplementary Figures S4A, B). IFN-γ was not produced in the supernatants of heptose- or bacteria-co-incubated Thp-1 cells (data not shown), which suggested that JAK/STAT pathway or IRF transcription factors were not activated under the short-term co-incubation conditions used. Finally, the question needed to be answered whether the TIFA-ALPK1 pathway (
Figure 5

siRNA knock-down of TIFA reveals its important role in activation of Thp-1 cells by ADP-heptose. Panels (A–C) show the results of siRNA treatment of Thp-1 cells. (A) shows the quantitation of TIFA siRNA effects on NF-κB-dependent luciferase reporter activity (Thp1_luc) after stimulation with 2.5 µM pure ADP-heptose (samples with ADP-hep). Either one single siRNA (TIFA_9) was used, with a moderate but significant reducing effect on activation, and a combination of four siRNAs (see Methods) showed a strongly significant effect on NF-κB activation by pure ADP-heptose. Not heptose-stimulated controls of the mock-transfected or siRNA-treated cells are shown alongside (bars on left side), with very little detectable NF-κB activity. Mean and standard error of four independent biological replicates are depicted for each condition. Panel (B) shows the reduction of IL-8 release into cell supernatants upon TIFA siRNA knock-down (combination of four TIFA siRNAs) of Thp-1 cells treated with pure ADP-heptose (ADP-hep, 2.5 µM), in comparison to the Allstars negative control siRNA and a mock-transfected sample without siRNA. Same conditions incubated without ADP-heptose are shown on the left side, with no significant activation. Mean and standard errors of six replicates for each condition are shown. In (C), the significant reduction of TIFA transcript in TIFA siRNA-transfected cells in comparison to Allstars siRNA-treated cells and mock-transfected cells (all under co-incubation conditions with ADP-heptose, 2.5 µM, ADP-hep) was verified by qPCR, normalized to human GAPDH transcript, in triplicate samples. Statistical differences were calculated by unpaired student’s t-test. Significant p values: ****p < 0.001; *p < 0.05; ns is non-significant.
Heptose-Dependent Activation of Cellular Signal Transduction by H. pylori in Monocyte/Macrophage-Like Cells Is Not Influenced by NLRP3
We next investigated whether one major intracellular innate immune sensor, NLRP3, a central inflammasome activator which has been characterized to be strongly activated in macrophages by H. pylori (
Discussion
The aim of this study was to investigate the role of LPS heptose-mediated signaling by H. pylori in human monocyte-like cells, which can be differentiated to a macrophage-like phenotype, exemplified by the model cell line Thp-1 (
In epithelial cells co-incubated with H. pylori, this TIFA- and ALPK1-mediated signaling process is CagT4SS-dependent and LPS heptose metabolite-dependent (
In our present work, we tested the activation signature by H. pylori and purified bacterial ADP-heptose using the Thp-1 human monocyte-macrophage-like cell line (naïve or pre-differentiated). In vivo, professional phagocytes can come into close contact with H. pylori in the stomach mucosa and induce cytokine production, inflammation, and induced neutrophil immigration (
Using bacterial mutants, purified bacterial lysates and pure ADP heptose, we determined for the first time that the bacterial LPS inner core metabolite ADP-heptose can be taken up by human monocyte/macrophages in the absence of a dedicated bacterial secretion/injection system. Comprehensive transcript analyses demonstrated that a human gene encoding a monosaccharide transporter of unknown specificity, SLC2A6 (Glut6), which seems to be highly relevant in macrophages (
Our genome-wide transcript analyses revealed a strong influence of pure ADP-heptose on the global human transcriptome of Thp-1 cells. Signature transcripts of Thp-1 activated by ADP-heptose at early time points encompassed il-8 (cxcl8), ccl2, ccl3, ccl4, and il-1β, but not il-6 or il-10. Central activation markers of both, ADP-heptose and H. pylori wild type bacteria, comprised increased transcript amounts of genes coding for NF-κB transcription factors and coactivators, complement factors, and genes involved in intracellular recognition of double-stranded RNA of the OAS family (
Despite the identified differences, we determined that transcriptional regulation and NF-κB activation overlapped between Thp-1 cells co-incubated with ADP-heptose, H. pylori wild type bacteria or isogenic hldE mutants. Since TLR2 was confirmed to be highly expressed in these phagocytic cells and the canonical TLR2 ligand PAM3Cys-SK4, used as a control stimulus in our experiments, activated the cells very strongly, we assume that TLR2 ligands present in the hldE mutant bacteria and its lysate preparations contribute to the observed signaling overlap, via the TLR pathway. Co-culture with H. pylori and H. pylori-isolated DNA can activate neutrophil IL-8 production via TLR9 (
Other cells that should be studied for the influence of H. pylori heptose-ALPK1-TIFA signaling in the context of H. pylori are indeed neutrophils and dendritic cells, which infiltrate the gastric tissue during human H. pylori infection (
Taken together, H. pylori activates phagocytic cells/macrophages at early time points in a specific manner. This effect is primarily cagPAI- and heptose-dependent, if naïve monocyte-like cells come into contact with H. pylori. This might apply to the natural habitat in the stomach, where H. pylori-naïve monocytes or other phagocytic cells may immigrate or reside in the local tissues. LPS inner core heptose metabolites, most likely including ADP-heptose (
Author Contribution
LF and SCS contributed to the design of the study, performed and interpreted experiments, and co-authored the paper. MH, MG and MA performed and interpreted experiments and provided materials. CJ conceived the study, performed and interpreted experiments, acquired funding, and wrote the paper. All authors contributed to the article and approved the submitted version.
Statements
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: NCBI, PRJNA685657.
Acknowledgments
We acknowledge expert technical help by Yvonne Speidel, Bettina Sedlmaier-Erlenfeld, Kerstin Ellrott, and Birgit Brenneke. LF, MH, and MG acknowledge the intramural Ph.D. program at Max von Pettenkofer Institute, “Infection Research on Human Pathogens@MvPI”, for continuous support. We are grateful for funding by the Center Grant SFB900 (by the Deutsche Forschungsgemeinschaft, DFG; German Research foundation), project B6 to CJ, and the German Center of Infection Research (DZIF). We thank all Josenhans lab members for support and constructive comments.
Conflict of interest
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.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2021.632154/full#supplementary-material
References
1
SuerbaumSMichettiP. Helicobacter pylori infection. N Engl J Med (2002) 347:1175–86. doi: 10.1056/NEJMra020542
2
BelogolovaEBauerBPompaiahMAsakuraHBrinkmanVErtlCet al. Helicobacter pylori Outer Membrane Protein HopQ Identified as a Novel T4SS-associated Virulence Factor. Cell Microbiol (2013) 15(11):1896–912. doi: 10.1111/cmi.12158
3
MahdaviJSondenBHurtigMOlfatFOForsbergLRocheNet al. Helicobacter pylori SabA Adhesin in Persistent Infection and Chronic Inflammation. Science (2002) 297(5581):573–8. doi: 10.1126/science.1069076
4
NellSKennemannLSchwarzSJosenhansCSuerbaumS. Dynamics of Lewis B Binding and Sequence Variation of the Baba Adhesin Gene During Chronic Helicobacter pylori Infection in Humans. MBio (2014) 5(6):e02281–14. doi: 10.1128/mBio.02281-14
5
OdenbreitS. Adherence Properties of Helicobacter pylori: Impact on Pathogenesis and Adaptation to the Host. Int J Med Microbiol (2005) 295(5):317–24. doi: 10.1016/j.ijmm.2005.06.003
6
BehrensIKBuschBIshikawa-AnkerholdHPalamidesPShivelyJEStannersCet al. The HopQ-CEACAM Interaction Controls Caga Translocation, Phosphorylation, and Phagocytosis of Helicobacter pylori in Neutrophils. mBio (2020) 11(1):e03256–19. doi: 10.1128/mBio.03256-19
7
BonsorDAZhaoQSchmidingerBWeissEWangJDeredgeDet al. The Helicobacter pylori Adhesin Protein HopQ Exploits the Dimer Interface of Human CEACAMs to Facilitate Translocation of the Oncoprotein Caga. EMBO J (2018) 37(13):e98664. doi: 10.15252/embj.201798664
8
KoelblenTBergeCCherrierMVBrilletKJimenez-SotoLBallutLet al. Molecular Dissection of Protein-Protein Interactions Between Integrin alpha5beta1 and the Helicobacter pylori Cag Type IV Secretion System. FEBS J (2017) 284(23):4143–57. doi: 10.1111/febs.14299
9
ZhaoQBuschBJimenez-SotoLFIshikawa-AnkerholdHMassbergSTerradotLet al. Integrin But Not CEACAM Receptors are Dispensable for Helicobacter pylori CagA Translocation. PloS Pathog (2018) 14(10):e1007359. doi: 10.1371/journal.ppat.1007359
10
MandellLMoranAPCocchiarellaAHoughtonJTaylorNFoxJGet al. Intact Gram-Negative Helicobacter pylori, Helicobacter felis, and Helicobacter hepaticus Bacteria Activate Innate Immunity Via Toll-like Receptor 2 But Not Toll-like Receptor 4. Infect Immun (2004) 72(11):6446–54. doi: 10.1128/IAI.72.11.6446-6454.2004
11
Alvarez-ArellanoLCortes-ReynosaPSanchez-ZaucoNSalazarETorresJMaldonado-BernalC. TLR9 and NF-kappaB are Partially Involved in Activation of Human Neutrophils by Helicobacter pylori and its Purified DNA. PloS One (2014) 9(7):e101342. doi: 10.1371/journal.pone.0101342
12
VargaMGShafferCLSierraJCSuarezGPiazueloMBWhitakerMEet al. Pathogenic Helicobacter pylori Strains Translocate DNA and Activate TLR9 Via the Cancer-Associated Cag Type IV Secretion System. Oncogene (2016) 35(48):6262–9. doi: 10.1038/onc.2016.158
13
VialaJChaputCBonecaIGCardonaAGirardinSEMoranAPet al. Nod1 Responds to Peptidoglycan Delivered by the Helicobacter pylori Pathogenicity Island. Nat Immunol (2004) 5(11):1166–74. doi: 10.1038/ni1131
14
KimDJParkJHFranchiLBackertSNunezG. The Cag Pathogenicity Island and Interaction Between TLR2/NOD2 and NLRP3 Regulate IL-1beta Production in Helicobacter pylori Infected Dendritic Cells. Eur J Immunol (2013) 10(43):2650–8. doi: 10.1002/eji.201243281 .
15
RadRBallhornWVolandPEisenacherKMagesJRadLet al. Extracellular and Intracellular Pattern Recognition Receptors Cooperate in the Recognition of Helicobacter pylori. Gastroenterology (2009) 136(7):2247–57. doi: 10.1053/j.gastro.2009.02.066
16
GallAGaudetRGGray-OwenSDSalamaNR. Tifa Signaling in Gastric Epithelial Cells Initiates the Cag Type 4 Secretion System-Dependent Innate Immune Response to Helicobacter pylori Infection. MBio. (2017) 8(4):e01168–17. doi: 10.1128/mBio.01168-17
17
SteinSCFaberEBatsSHMurilloTSpeidelYCoombsNet al. Helicobacter pylori Modulates Host Cell Responses by CagT4SS-dependent Translocation of an Intermediate Metabolite of LPS Inner Core Heptose Biosynthesis. PloS Pathog (2017) 13(7):e1006514. doi: 10.1371/journal.ppat.1006514
18
ZimmermannSPfannkuchLAl-ZeerMABartfeldSKochMLiuJet al. ALPK1- and TIFA-Dependent Innate Immune Response Triggered by the Helicobacter pylori Type Iv Secretion System. Cell Rep (2017) 20(10):2384–95. doi: 10.1016/j.celrep.2017.08.039
19
NaumannMSokolovaOTegtmeyerNBackertS. Helicobacter pylori: A Paradigm Pathogen for Subverting Host Cell Signal Transmission. Trends Microbiol (2017) 25(4):316–28. doi: 10.1016/j.tim.2016.12.004
20
SokolovaOBorgmannMRiekeCSchweitzerKRothkotterHJNaumannM. Helicobacter pylori Induces Type 4 Secretion System-Dependent, But CagA-independent Activation of IkappaBs and NF-kappaB/RelA At Early Time Points. Int J Med Microbiol (2013) 303(8):548–52. doi: 10.1016/j.ijmm.2013.07.008
21
PfannkuchLHurwitzRTraulsenJSigullaJPoeschkeMMatznerLet al. ADP Heptose, a Novel Pathogen-Associated Molecular Pattern Identified in Helicobacter pylori. FASEB J (2019) 33(8):9087–99. doi: 10.1096/fj.201802555R
22
ZhouPSheYDongNLiPHeHBorioAet al. Alpha-Kinase 1 is a Cytosolic Innate Immune Receptor for Bacterial ADP-Heptose. Nature (2018) 561(7721):122–6. doi: 10.1038/s41586-018-0433-3
23
Andersen-NissenESmithKDStrobeKLBarrettSLCooksonBTLoganSMet al. Evasion of Toll-like Receptor 5 by Flagellated Bacteria. Proc Natl Acad Sci USA (2005) 102(26):9247–52. doi: 10.1073/pnas.0502040102
24
BirkholzSKnippUNietzkiCAdamekRJOpferkuchW. Immunological Activity of Lipopolysaccharide of Helicobacter pylori on Human Peripheral Mononuclear Blood Cells in Comparison to Lipopolysaccharides of Other Intestinal Bacteria. FEMS Immunol Med Microbiol (1993) 6:317–24. doi: 10.1111/j.1574-695X.1993.tb00344.x
25
GewirtzATYuYKrishnaUSIsraelDALyonsSLPeekRMJr.Helicobacter pylori Flagellin Evades Toll-Like Receptor 5-Mediated Innate Immunity. J Infect Dis (2004) 189(10):1914–20. doi: 10.1086/386289
26
LeeSKStackAKatzowitschEAizawaSISuerbaumSJosenhansC. Helicobacter pylori Flagellins Have Very Low Intrinsic Activity to Stimulate Human Gastric Epithelial Cells Via TLR5. Microbes Infect (2003) 5(15):1345–56. doi: 10.1016/j.micinf.2003.09.018
27
ParsonnetJFriedmanGDOrentreichNVogelmanH. Risk for Gastric Cancer in People With CagA Positive or CagA Negative Helicobacter pylori Infection [See Comments]. Gut (1997) 40:297–301. doi: 10.1136/gut.40.3.297
28
RiederGMerchantJLHaasR. Helicobacter pylori Cag-Type IV Secretion System Facilitates Corpus Colonization to Induce Precancerous Conditions in Mongolian Gerbils. Gastroenterology (2005) 128(5):1229–42. doi: 10.1053/j.gastro.2005.02.064
29
OlbermannPJosenhansCMoodleyYUhrMStamerCVauterinMet al. A Global Overview of the Genetic and Functional Diversity in the Helicobacter pylori Cag Pathogenicity Island. PloS Genet (2010) 6(8):e1001069. doi: 10.1371/journal.pgen.1001069
30
CensiniSLangeCXiangZCrabtreeJEGhiaraPBorodovskyMet al. Cag, a Pathogenicity Island of Helicobacter pylori, Encodes Type I-specific and Disease-Associated Virulence Factors. Proc Natl Acad Sci U S A (1996) 93(25):14648–53. doi: 10.1073/pnas.93.25.14648
31
Frick-ChengAEPyburnTMVossBJMcDonaldWHOhiMDCoverTL. Molecular and Structural Analysis of the Helicobacter pylori Cag Type Iv Secretion System Core Complex. mBio (2016) 7(1):e02001–15. doi: 10.1128/mBio.02001-15
32
KutterSBuhrdorfRHaasJSchneider-BrachertWHaasRFischerW. Protein Subassemblies of the Helicobacter pylori Cag Type IV Secretion System Revealed by Localization and Interaction Studies. J Bacteriol (2008) 190(6):2161–71. doi: 10.1128/JB.01341-07
33
Aviles-JimenezFReyes-LeonANieto-PatlanEHansenLMBurguenoJRamosIPet al. In Vivo Expression of Helicobacter pylori Virulence Genes in Patients With Gastritis, Ulcer, and Gastric Cancer. Infect Immun (2012) 80(2):594–601. doi: 10.1128/IAI.05845-11
34
BoonjakuakulJKCanfieldDRSolnickJV. Comparison of Helicobacter pylori Virulence Gene Expression In Vitro and in the Rhesus Macaque. Infect Immun (2005) 73(8):4895–904. doi: 10.1128/IAI.73.8.4895-4904.2005
35
AllisonCCFerrandJMcLeodLHassanMKaparakis-LiaskosMGrubmanAet al. Nucleotide Oligomerization Domain 1 Enhances IFN-gamma Signaling in Gastric Epithelial Cells During Helicobacter pylori Infection and Exacerbates Disease Severity. J Immunol (2013) 190(7):3706–15. doi: 10.4049/jimmunol.1200591
36
GorrellRJGuanJXinYTafreshiMAHuttonMLMcGuckinMAet al. A Novel NOD1- and CagA-independent Pathway of Interleukin-8 Induction Mediated by the Helicobacter pylori Type IV Secretion System. Cell Microbiol (2013) 15(4):554–70. doi: 10.1111/cmi.12055
37
HatakeyamaM. Saga of CagA in Helicobacter pylori Pathogenesis. Curr Opin Microbiol (2008) 11(1):30–7. doi: 10.1016/j.mib.2007.12.003
38
HigashiHTsutsumiRMutoSSugiyamaTAzumaTAsakaMet al. SHP-2 Tyrosine Phosphatase as an Intracellular Target of Helicobacter pylori CagA Protein. Science (2002) 295(5555):683–6. doi: 10.1126/science.1067147
39
OdenbreitSPülsJSedlmaierBGerlandEFischerWHaasR. Translocation of Helicobacter pylori CagA Into Gastric Epithelial Cells by Type IV Secretion. Science (2000) 287(5457):1497–500. doi: 10.1126/science.287.5457.1497
40
SegalEDChaJLoJFalkowSTompkinsLS. Altered States: Involvement of Phosphorylated CagA in the Induction of Host Cellular Growth Changes by Helicobacter pylori. Proc Natl Acad Sci U S A (1999) 96(25):14559–64. doi: 10.1073/pnas.96.25.14559
41
BrandtSKwokTHartigRKonigWBackertS. NF-Kappab Activation and Potentiation of Proinflammatory Responses by the Helicobacter pylori CagA Protein. Proc Natl Acad Sci U S A (2005) 102(26):9300–5. doi: 10.1073/pnas.0409873102
42
NoachLABosmaNBJansenJHoekFJVan DeventerSJHTytgatGNJ. Mucosal Tumor Necrosis Factor-α, interleukin-1β, and Interleukin- 8 Production in Patients With Helicobacter pylori Infection. Scand J Gastroenterol (1994) 29:425–9. doi: 10.3109/00365529409096833
43
ShimoyamaTCrabtreeJE. Mucosal Chemokines in Helicobacter pylori Infection. J Physiol Pharmacol (1997) 48:315–23.
44
KochMMollenkopfHJMeyerTF. Macrophages Recognize the Helicobacter pylori Type IV Secretion System in the Absence of Toll-Like Receptor Signalling. Cell Microbiol (2016) 18(1):137–47. doi: 10.1111/cmi.12492
45
HolokaiLChakrabartiJBrodaTChangJHawkinsJASundaramNet al. Increased Programmed Death-Ligand 1 is an Early Epithelial Cell Response to Helicobacter pylori Infection. PloS Pathog (2019) 15(1):e1007468. doi: 10.1371/journal.ppat.1007468
46
SigalMRothenbergMELoganCYLeeJYHonakerRWCooperRLet al. Helicobacter pylori Activates and Expands Lgr5(+) Stem Cells Through Direct Colonization of the Gastric Glands. Gastroenterology (2015) 148(7):1392–404.e21. doi: 10.1053/j.gastro.2015.02.049
47
ChanputWMesJJWichersHJ. THP-1 Cell Line: An In Vitro Cell Model for Immune Modulation Approach. Int Immunopharmacol (2014) 23(1):37–45. doi: 10.1016/j.intimp.2014.08.002
48
TsuchiyaSYamabeMYamaguchiYKobayashiYKonnoTTadaK. Establishment and Characterization of a Human Acute Monocytic Leukemia Cell Line (THP-1). Int J Cancer (1980) 26(2):171–6. doi: 10.1002/ijc.2910260208
49
FerreroRLCussacVCourcouxPLabigneA. Construction of Isogenic Urease-Negative Mutants of Helicobacter pylori by Allelic Exchange. J Bacteriol (1992) 174:4212–7. doi: 10.1128/JB.174.13.4212-4217.1992
50
JosenhansCEatonKAThevenotTSuerbaumS. Switching of Flagellar Motility in Helicobacter pylori by Reversible Length Variation of a Short Homopolymeric Sequence Repeat in fliP, a Gene Encoding a Basal Body Protein. Infect Immun (2000) 68:4598–603. doi: 10.1128/IAI.68.8.4598-4603.2000
51
LinzBBallouxFMoodleyYHuaLManicaARoumagnacPet al. An African Origin for the Intimate Association Between Humans and Helicobacter pylori. Nature (2007) 445:915–8. doi: 10.1038/nature05562
52
AlmRALingLSMoirDTKingBLBrownEDDoigPCet al. Genomic-Sequence Comparison of Two Unrelated Isolates of the Human Gastric Pathogen Helicobacter pylori [Published Erratum Appears in Nature 1999 Feb 25;397(6721):719]. Nature (1999) 397(6715):176–80. doi: 10.1038/17837
53
LundMEToJO’BrienBADonnellyS. The Choice of Phorbol 12-Myristate 13-Acetate Differentiation Protocol Influences the Response of THP-1 Macrophages to a Pro-Inflammatory Stimulus. J Immunol Methods (2016) 430:64–70. doi: 10.1016/j.jim.2016.01.012
54
FaberETedinKSpeidelYBrinkmannMMJosenhansC. Functional Expression of TLR5 of Different Vertebrate Species and Diversification in Intestinal Pathogen Recognition. Sci Rep (2018) 8(1):11287. doi: 10.1038/s41598-018-29371-0
55
JensenLJKuhnMStarkMChaffronSCreeveyCMullerJet al. STRING 8–a Global View on Proteins and Their Functional Interactions in 630 Organisms. Nucleic Acids Res (2009) 37(Database issue):D412–6. doi: 10.1093/nar/gkn760
56
EstibarizIOvermannAAilloudFKrebesJJosenhansCSuerbaumS. The Core Genome m5C Methyltransferase JHP1050 (M.Hpy99III) Plays an Important Role in Orchestrating Gene Expression in Helicobacter pylori. Nucleic Acids Res (2019) 47(5):2336–48. doi: 10.1101/393710
57
HeideveldEHorcas-LopezMLopez-YrigoyenMForresterLMCassettaLPollardJW. Methods for Macrophage Differentiation and In Vitro Generation of Human Tumor Associated-Like Macrophages. Methods Enzymol (2020) 632:113–31. doi: 10.1016/bs.mie.2019.10.005
58
MadhviAMishraHLeischingGRMahloboPZBakerB. Comparison of Human Monocyte Derived Macrophages and THP1-like Macrophages as In Vitro Models for M. tuberculosis Infection. Comp Immunol Microbiol Infect Dis (2019) 67:101355. doi: 10.1016/j.cimid.2019.101355
59
MilivojevicMDangeardASKasperCATschonTEmmenlauerMPiqueCet al. ALPK1 Controls TIFA/TRAF6-dependent Innate Immunity Against heptose-1,7-bisphosphate of Gram-Negative Bacteria. PloS Pathog (2017) 13(2):e1006224. doi: 10.1371/journal.ppat.1006224
60
FehlingsMDrobbeLMoosVRenner ViverosPHagenJBeigier-BompadreMet al. Comparative Analysis of the Interaction of Helicobacter pylori With Human Dendritic Cells, Macrophages, and Monocytes. Infect Immun (2012) 80(8):2724–34. doi: 10.1128/IAI.00381-12
61
MartinezFOSicaAMantovaniALocatiM. Macrophage Activation and Polarization. Front Biosci (2008) 13:453–61. doi: 10.2741/2692
62
ChistiakovDAMyasoedovaVARevinVVOrekhovANBobryshevYV. The Impact of Interferon-Regulatory Factors to Macrophage Differentiation and Polarization Into M1 and M2. Immunobiology (2018) 223(1):101–11. doi: 10.1016/j.imbio.2017.10.005
63
QueroLHanserEManigoldTTiadenANKyburzD. TLR2 Stimulation Impairs Anti-Inflammatory Activity of M2-like Macrophages, Generating a Chimeric M1/M2 Phenotype. Arthritis Res Ther (2017) 19(1):245. doi: 10.1186/s13075-017-1447-1
64
GlanzVMyasoedovaVASukhorukovVGrechkoAZhangDRomanenekoEBet al. Transcriptional Characteristics of Activated Macrophages. Curr Pharm Des (2019) 25(3):213–7. doi: 10.2174/1381612825666190319120132
65
LeischingGColeVAliATBakerB. Oas1, OAS2 and OAS3 Restrict Intracellular M. Tb Replication and Enhance Cytokine Secretion. Int J Infect Dis (2019) 80S:S77–84. doi: 10.1016/j.ijid.2019.02.029
66
LinTYWeiTWLiSWangSCHeMMartinMet al. TIFA as a Crucial Mediator for NLRP3 Inflammasome. Proc Natl Acad Sci USA (2016) 113(52):15078–83. doi: 10.1073/pnas.1618773114
67
GazovaILefevreLBushSJClohiseySArnerEde HoonMet al. The Transcriptional Network That Controls Growth Arrest and Macrophage Differentiation in the Human Myeloid Leukemia Cell Line Thp-1. Front Cell Dev Biol (2020) 8:498. doi: 10.3389/fcell.2020.00498
68
GaudetRGSintsovaABuckwalterCMLeungNCochraneALiJet al. Innate IMMUNITY. Cytosolic Detection of the Bacterial Metabolite HBP Activates TIFA-dependent Innate Immunity. Science (2015) 348(6240):1251–5. doi: 10.1126/science.aaa4921
69
PachathundikandiSKBlaserNBrunsHBackertS. Helicobacter pylori Avoids the Critical Activation of NLRP3 Inflammasome-Mediated Production of Oncogenic Mature IL-1beta in Human Immune Cells. Cancers (2020) 12(4):803. doi: 10.3390/cancers12040803
70
AdekoyaIAGuoCXGray-OwenSDCoxADSauvageauJ. d-Glycero-beta-d-Manno-Heptose 1-Phosphate and d-Glycero-beta-d-Manno-Heptose 1,7-Biphosphate Are Both Innate Immune Agonists. J Immunol (2018) 201(8):2385–91. doi: 10.4049/jimmunol.1801012
71
YamaokaYKitaMKodamaTSawaiNKashimaKImanishiJ. Induction of Various Cytokines and Development of Severe Mucosal Inflammation by Caga Gene Positive Helicobacter pylori Strains. Gut (1997) 41(4):442–51. doi: 10.1136/gut.41.4.442
72
Quiding-JarbrinkMRaghavanSSundquistM. Enhanced M1 Macrophage Polarization in Human Helicobacter pylori-Associated Atrophic Gastritis and in Vaccinated Mice. PloS One (2010) 5(11):e15018. doi: 10.1371/journal.pone.0015018
73
MaederaSMizunoTIshiguroHItoTSogaTKusuharaH. GLUT6 is a Lysosomal Transporter That is Regulated by Inflammatory Stimuli and Modulates Glycolysis in Macrophages. FEBS Lett (2019) 593(2):195–208. doi: 10.1002/1873-3468.13298
74
CaruanaBTByrneFLKnightsAJQuinlanKGRHoehnKL. Characterization of Glucose Transporter 6 in Lipopolysaccharide-Induced Bone Marrow-Derived Macrophage Function. J Immunol (2019) 202(6):1826–32. doi: 10.4049/jimmunol.1801063
75
ShimoyamaTFukudaSLiuQNakajiSFukudaYSugawaraK. Production of Chemokines and Reactive Oxygen Species by Human Neutrophils Stimulated by Helicobacter pylori. Helicobacter (2002) 7(3):170–4. doi: 10.1046/j.1523-5378.2002.00077.x
76
Perez-FigueroaETorresJSanchez-ZaucoNContreras-RamosAAlvarez-ArellanoLMaldonado-BernalC. Activation of NLRP3 Inflammasome in Human Neutrophils by Helicobacter pylori Infection. Innate Immun (2016) 22(2):103–12. doi: 10.1177/1753425915619475
77
Sanchez-ZaucoNATorresJPerez-FigueroaGEAlvarez-ArellanoLCamorlinga-PonceMGomezAet al. Impact of cagPAI and T4SS on the Inflammatory Response of Human Neutrophils to Helicobacter pylori Infection. PloS One (2014) 8(6):e64623. doi: 10.1371/journal.pone.0064623
Summary
Keywords
Helicobacter pylori, Heptose, macrophage, secretion system, type four secretion system, heptose biosynthesis pathway, lipopolysaccharide
Citation
Faass L, Stein SC, Hauke M, Gapp M, Albanese M and Josenhans C (2021) Contribution of Heptose Metabolites and the cag Pathogenicity Island to the Activation of Monocytes/Macrophages by Helicobacter pylori. Front. Immunol. 12:632154. doi: 10.3389/fimmu.2021.632154
Received
22 November 2020
Accepted
12 April 2021
Published
19 May 2021
Volume
12 - 2021
Edited by
Thomas A. Kufer, University of Hohenheim, Germany
Reviewed by
Anne Müller, University of Zurich, Switzerland; Tomohiro Watanabe, Kindai University Hospital, Japan; Naoki Asano, Tohoku University, Japan
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Copyright
© 2021 Faass, Stein, Hauke, Gapp, Albanese and Josenhans.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Christine Josenhans, josenhans@mvp.uni-muenchen.de
†These authors have contributed equally to this work
This article was submitted to Molecular Innate Immunity, a section of the journal Frontiers in Immunology
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