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Bacillus cereus extracellular vesicles act as shuttles for biologically active multicomponent enterotoxins

Cell Communication and Signaling volume 21, Article number: 112 (2023) Cite this article

A Correction to this article was published on 15 January 2024

This article has been updated

Abstract

Background

Extracellular vesicles (EVs) from Gram-positive bacteria have gained considerable importance as a novel transport system of virulence factors in host–pathogen interactions. Bacillus cereus is a Gram-positive human pathogen, causing gastrointestinal toxemia as well as local and systemic infections. The pathogenicity of enteropathogenic B. cereus has been linked to a collection of virulence factors and exotoxins. Nevertheless, the exact mechanism of virulence factor secretion and delivery to target cells is poorly understood.

Results

Here, we investigate the production and characterization of enterotoxin-associated EVs from the enteropathogenic B. cereus strain NVH0075-95 by using a proteomics approach and studied their interaction with human host cells in vitro. For the first time, comprehensive analyses of B. cereus EV proteins revealed virulence-associated factors, such as sphingomyelinase, phospholipase C, and the three-component enterotoxin Nhe. The detection of Nhe subunits was confirmed by immunoblotting, showing that the low abundant subunit NheC was exclusively detected in EVs as compared to vesicle-free supernatant. Cholesterol-dependent fusion and predominantly dynamin-mediated endocytosis of B. cereus EVs with the plasma membrane of intestinal epithelial Caco2 cells represent entry routes for delivery of Nhe components to host cells, which was assessed by confocal microscopy and finally led to delayed cytotoxicity. Furthermore, we could show that B. cereus EVs elicit an inflammatory response in human monocytes and contribute to erythrocyte lysis via a cooperative interaction of enterotoxin Nhe and sphingomyelinase.

Conclusion

Our results provide insights into the interaction of EVs from B. cereus with human host cells and add a new layer of complexity to our understanding of multicomponent enterotoxin assembly, offering new opportunities to decipher molecular processes involved in disease development.

Video Abstract

Introduction

The endospore-forming Bacillus cereus is a Gram-positive, food poisoning-associated pathogen, with the ability to cause severe gastrointestinal tract infections [1, 2]. Besides, there is a growing body of evidence supporting the association between B. cereus infections and a range of acute non-gastrointestinal tract diseases, such as sepsis and infections of the central nervous system, particularly in immunosuppressed patients and newborns [3, 4]. The pathogenesis of B. cereus is mainly related to the heat- and gastric acid-stable emetic toxin cereulide, a cyclic dodecadepsipeptide causing vomiting and – in severe cases – organ failure [5, 6], while the multicomponent pore-forming enterotoxins, such as non-hemolytic enterotoxin (Nhe) and hemolysin BL (Hbl), provoke a diarrheal syndrome [7,8,9,10].

The tripartite enterotoxin Nhe is present in almost all enteropathogenic B. cereus strains [1, 7, 11, 12] however, the exact mode of action of the Nhe toxin at the cellular level is still poorly understood. Several studies have shown that all three toxin components NheA, NheB and NheC are necessary for optimal pore formation and, finally, cell membrane leakage in vitro, which requires a specific concentration, ratio and binding order of the Nhe components at the target cell surface [13,14,15]. NheC has been suggested to be mandatory in the priming step, however, due to its low abundance and the lack of tailored analytical tools, its detection remains challenging [14, 16]. Only few proteomics studies have detected NheC in the exoproteome of B. cereus [17, 18]. In addition, several other exoproteins, including proteases and membrane-damaging phospholipases, have been discussed recently as putative virulence factors in B. cereus pathogenicity [19,20,21]. The sphingomyelinase (SMase) of B. cereus has been shown to synergistically interact with Nhe as well as with Hbl, suggesting its contribution to the severity of the disease [22, 23]. B. cereus SMase, similar to other bacterial SMases is able to hydrolyze sphingomyelin [24], thereby affecting the dynamics of membranes and the host immune system. Recently, it has been demonstrated that toxicity of a given strain correlates with the quantity of secreted SMase, the B component of Nhe and proteolytic activity [25]. Nevertheless, how multicomponent enterotoxins are transported in the extracellular milieu and finally delivered to target host cells remains poorly understood.

In the past years, naturally produced extracellular vesicles (EVs) from bacteria have gained considerable importance as a novel transport system of multiple virulence factors in host–pathogen interaction and pathogenesis. EVs represent spherical membrane-enclosing structures that are released as a conserved mechanism for cell-free inter- and intra-species cellular communications across all three domains of life [26, 27]. Bacterial membrane vesicles have been extensively studied in Gram-negative bacteria [28, 29], however, recent studies have also demonstrated the production of EVs in Gram-positive bacteria [30, 31]. Although the exact mechanisms of vesicle biogenesis and transport through the thick peptidoglycan layer of Gram-positive bacteria remains poorly understood, a possible mechanism has been described by the activity of cell wall degrading enzymes which generate holes in the peptidoglycan layer and allow the release of EVs into the surrounding [32,33,34,35]. Bacteria-derived EVs are loaded with a large diversity of bioactive compounds, including proteins, nucleic acids, and virulence factors [30, 36]. The cargo of EVs determines their biological functions, ranging from bacterial survival, biofilm formation, resistance to antibiotics, host immune invasion and modulation, and infection [31, 37].

EVs from pathogenic Gram-positive species carry a range of toxins and molecules that are involved in immune evasion [30]. In Staphylococcus aureus, EVs have been shown to deliver virulence-associated factors, causing cytotoxicity to host cells [38, 39]. EVs associated with cytosolic pore-forming toxins of Streptococcus pneumoniae have been shown to bind complement proteins, thereby promoting pneumococcal evasion of complement-mediated opsonophagocytosis [40]. Pneumococcal vesicles are also able to induce protection against infection in vivo [41], while some studies revealed their contribution to inflammatory responses and tissue damage in hosts [42, 43]. Likewise, B. anthracis-derived EVs contain biologically active anthrax toxin components that are toxic to macrophages and induce a protective response in immunized mice [44].

To elucidate the role of EVs in the pathogenesis of enteropathogenic B. cereus, we characterized their production and cargo content by using a proteomics approach and studied their interaction with human host cells in vitro. Our study provides evidence that B. cereus EVs are loaded with several virulence-associated factors, such as SMase, phospholipase C, and the multicomponent enterotoxin Nhe. We could show that B. cereus EVs interact with intestinal epithelial cells via cholesterol-rich domains and dynamin-mediated endocytosis, leading to Nhe internalization and delayed cytotoxicity. Notably, SMase packed in B. cereus vesicles complemented Nhe-induced hemolysis in vitro, highlighting the function of EVs as vehicle of multiple virulence factors for their concerted actions on host cells. The identification of toxin-loaded EVs in B. cereus adds a new layer of complexity to our understanding of how multicomponent enterotoxins are assembling and further affecting host interaction and pathogenesis.

Results

B. cereus secretes EVs into the culture supernatant, containing the multicomponent enterotoxin Nhe and the membrane active enzyme SMase

In recent years, extracellular prokaryotic membrane vesicles have been reported to play an important role for Gram-negative bacteria in cell–cell communication and transport of virulence factors to host cells [30], but still little is known about their role in Gram-positive bacteria. With the aim to evaluate the production and secretion of spherical EVs from Gram-positive B. cereus, the enteropathogenic strain NVH0075-95 was grown in LB broth for 17 h at 30 °C and pelleted vesicles were visualized by transmission electron microscopy (TEM). TEM exhibited intact spherical structures with a diameter of up to 200 nm, suggestive of extracellular membrane vesicles (Fig. 1B). The size distribution of vesicles was confirmed by nanoparticle tracking analysis (NTA) measurements (Fig. 1A), revealing B. cereus EVs with a peak size ranging from 75 to 200 nm in diameter. Both complementary approaches highlighted the presence of B. cereus EVs.

Fig. 1
figure 1

B. cereus releases EVs in vitro. EVs of B. cereus NVH0095-75 were characterized using nanoparticle tracking analysis (NTA), transmission electron microscopy and Fourier transform infrared (FTIR) spectroscopy. A Purified EVs from three biological independent replicates (three technical measurements each) were subjected to NTA for analysis of size distribution. B Resin-embedded TEM, used to determine the shape and confirm the size, revealed round-shaped EVs from B. cereus (scale bar 50 nm). C-I FTIR was used to generate metabolite fingerprints from isolated B. cereus EVs and intact bacterial cells. EVs isolated from six independent bacterial cultures were analyzed by FTIR. Representative full-range normalized spectra are shown (C), highlighting the spectral regions used for subsequent chemometric analysis. D and E provide a zoom-in into the region characteristic for proteins (1720–1500 cm-1) and polysaccharides (1200–900 cm-1), respectively. G As revealed by 2nd derivative subtraction spectral analysis of EVs versus bacterial cells, spectral differences between EVs and bacteria were most pronounced in the spectral regions accounting for proteins (zoom-in see H) and polysaccharides (zoom-in see I). F and H Calculation of spectroscopic ratios of highlighted regions in (C) as described in the method section. Statistical significance is calculated using a two-tailed Student’s t-test (***p < 0.001)

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These results strongly support the notion that Gram-positive B. cereus actively produces and secretes EVs, heterogeneous in size, into the extracellular milieu during cell growth in vitro.

Fourier transform infrared (FTIR) spectroscopy was employed to further characterize the B. cereus EVs and determine their lipid and protein content. Spectra of isolated EVs were recorded in the spectral range of 4000 to 500 cm−1 and preprocessed spectra were subjected to chemometric analysis. In parallel, spectra were recorded from bacteria to determine the difference in the spectral profiles of EVs and bacteria (Fig. 1C-E). As revealed by subtraction analysis of the 2nd derivate spectra, (Fig. 1G) the most prominent differences between EVs and bacteria were found in the protein region (in amid I and amid II bands (1700–1600 cm−1 and 1600–1500 cm−1, respectively), indicating changes in peptide backbones (Fig. 1G, H) and the polysaccharides region (1200–900 cm−1). The latter region includes functional groups in polysaccharides of cell walls, phosphate-containing molecules and cell surface glycostructures (Fig. 1G, I). To gain further insights into the spectral differences between bacteria and their EVs, we calculated the ratios of proteins to polysaccharides and fatty acids to proteins. Compared to bacterial cells, the ratio of proteins to polysaccharides was significantly higher in EVs (Fig. 1F), whereas the ratio of fatty acids to proteins was higher in bacteria than in EVs (Fig. 1J). These results indicate that EVs differ in their protein/fatty acid composition from bacteria, which is reflected in their characteristic spectral fingerprints. Overall, FTIR spectroscopy proved to be a suitable method for determining B. cereus-specific EV fingerprints, which could be used to monitor the quality of EVs.

Since virulence factors form a large constituent of the protein content in bacteria-derived EVs [30, 39], we next characterized the cargo proteins of the B. cereus EVs by liquid chromatography–tandem mass spectrometry (LC–MS/MS) to screen for virulence factors. The majority of identified proteins (Additional file 3: Table 1) were predicted to be cytoplasmic (47%) and membrane- or cell wall-associated (5% and 13%, respectively), while 17% of the proteins were predicted to occur extracellularly (Fig. 2A, Additional file 4: Table 2). Based on SignalP analysis, 26% of proteins in EVs contain a Sec signal peptide, predicted to be secreted via the classical secretory pathway. In contrast, 68% of the proteins have no predicted signal peptide, indicating that the release of EVs appears to be an important process for the secretion of proteins.

Fig. 2
figure 2

Proteomic profiling of B. cereus extracellular vesicles revealed several enterotoxins. The protein cargo of B. cereus secreted extracellular vesicles was determined by LC–MS/MS. Proteins commonly identified in two biologically independent experiments were included in the proteomic analysis. A Subcellular localization of EV proteins predicted with the aid of PsortB and illustrated in proportional numbers. B Prediction of the number of proteins with a secretory signal peptide, using SignalP. C KEGG pathway enrichment analysis of EV proteins. Pathways with a false discovery rate (FDR) < 0.05 were considered as significantly enriched. D Overview of virulence-associated factors identified in B. cereus NVH0095-75 EVs

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Only 6% are predicted lipoproteins, which have a signal peptidase II cleavage site and primarily belong to the ATP-binding cassette (ABC) transporter substrate-binding proteins (Fig. 2B, Additional file 1: Figure S1, Additional file 5: Table 3). Pathway enrichment analysis on identified proteins revealed various biological processes to be overrepresented in EVs, including metabolic pathways and biosynthesis of secondary metabolites (Fig. 2C). Among the identified EV proteins, we found all three components of the enterotoxin complex Nhe, which plays a key role in B. cereus enteropathogenicity [1, 2], and SMase, which hydrolyzes sphingomyelin and was reported to be a crucial factor for the toxicity of a given strain [25]. Moreover, several virulence-associated factors were identified in B. cereus-derived EVs (Fig. 2D), including penicillin-binding protein (PBP), adhesin, enolase, collagenase, alcohol dehydrogenase-like protein, bacillolysin, thiol-activated cytolysin and phospholipase C (PLC).

B. cereus EVs deliver the multicomponent enterotoxin Nhe to human intestinal Caco2 cells

Since the cytotoxic strain NVH0075-95 expresses the tripartite pore-forming toxin Nhe but lacks the hbl genes [11, 25], we further investigated the association of the Nhe enterotoxin with EVs. Secreted and purified vesicles from B. cereus NVH0075-95 were analyzed by using highly specific monoclonal antibodies for each Nhe component. Western immunoblotting confirmed the presence of the three single components in EVs. Notably, NheC was highly concentrated in B. cereus EVs, while it could not be detected in the vesicle-free supernatant, even when eightfold amounts of proteins were loaded. Both components NheB and predominantly NheC were packaged in vesicles, whereas NheA was detected in vesicles but mainly located in the vesicle-free supernatant (Fig. 3A). Three-dimensional structured illumination microscopy (3D-SIM) of B. cereus EVs confirmed the co-localization of enterotoxin components NheB and NheC (Fig. 3B), as well as NheA and NheC (Additional file 2: Figure S2A).

Fig. 3
figure 3

The multicomponent enterotoxin Nhe is packed in B. cereus vesicles and transported through vesicles to human intestinal Caco2 cell. Mouse monoclonal antibodies (anti-NheA IgG1, anti-NheB IgG1κ), anti-NheC IgM) were used for the specific detection of the Nhe components [80]. A As shown by immunoblot analyses, NheA and NheB are detectable in B. cereus-derived extracellular vesicles (EV) and vesicle-free supernatant (SN) while NheC is only detectable in EV. B The presence of NheB (AF488, green) and NheC (AF568, red) in B. cereus vesicle aggregates was confirmed with 3D-SIM microscopy. C-E To study the delivery of Nhe enterotoxin to human intestinal Caco2 cells, cells were treated with 200 µg/mL of B. cereus EVs for 2 h followed by several washing steps. C NheA (AF568; red), NheB (AF488; green) and cell nuclei (DAPI; blue), or (D) NheB (AF488; green), NheC (AF568; red) and cell nuclei (DAPI; blue) were visualized by 3D-SIM microscopy. E 3D-SIM fluorescent images at single cell level showed colocalization of NheB (AF488, green) and NheC (AF568, red) components (I, II) at the edges of Caco2 cells. F Viability of Caco2 cells stimulated with EVs was determined after 24 h using the Vita-Orange Cell Viability Reagent and expressed as a percentage with respect to untreated control cells for three independent biological experiments (mean ± standard error of the mean (SEM). Statistical significance is calculated using two-tailed Student’s t-test (*p < 0.05)

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Given the important role of the host gastrointestinal tract in the pathogenesis of B. cereus [45], we next studied the delivery of B. cereus vesicle-associated Nhe components to human intestinal Caco2 cells, followed by cellular internalization using 3D-SIM. The three Nhe subunits were detected in Caco2 cells already at 2 h upon treatment with B. cereus EVs (Fig. 3C-D). At 2 h post-stimulation with B. cereus vesicles, the morphology of Caco2 cells remained unchanged and no nuclear fragmentation was observed when compared to untreated Caco2 cells (Fig. 3C-D, Additional file 2: Figure S2B).

Moreover, 3D-SIM images at single cell level showed colocalization of NheB and NheC components at the edges of Caco2 cells (Fig. 3E, insert I, II). These findings are consistent with the hypothesis that the vesicle cargo containing Nhe components was being internalized into intact Caco2 cells. In order to determine whether B. cereus-derived EVs, enriched with virulence factors (see Fig. 2D), induce cytotoxicity, and thus play a critical role in microbial pathogenesis, Caco2 cells were treated with EVs for 24 h. At 24 h post-stimulation, B. cereus-derived EVs induced a cytotoxic effect with a cell viability of less than 50% (Fig. 3F). These results suggest that the delivery of EV cargo to Caco2 cells is a prerequisite for cytotoxicity.

Cellular uptake of B. cereus extracellular vesicles is mediated via cholesterol-rich microdomains and endocytosis

Since we demonstrated that B. cereus uses EVs to transport the tripartite enterotoxin Nhe into host cells, we next investigate whether B. cereus vesicles are able to enter human intestinal epithelial cells via membrane fusion to release their contents. To this end, EVs of B. cereus were fluorescently labeled with the lipophilic dye octadecyl rhodamine B chloride (R18) and subsequently applied to intact Caco2 cells. R18 fluorescence is quenched at high concentrations in cell membranes and dequenched when diluted by fusion with the host cell membrane. Thus, an increase in R18 fluorescence directly correlates with the fusion reaction of the host cell membrane and vesicles. Interaction of R18-labeled NVH0075-95 EVs with Caco2 cells showed a rapid and significantly time-dependent increase in fluorescence, indicating membrane fusion of vesicles and host cells (Fig. 4A). In contrast, the fluorescence did not increase in control samples containing only Caco2 cells or only rhodamine-R18 labeled vesicles. Moreover, confocal microscopy indicated the attachment and aggregation of NheB-loaded vesicles to the edges and surfaces of Caco2 cells (Fig. 4B) with a partial distribution of NheB along the cell membrane (Fig. 4B, insert). To identify the entry route of EVs, host cells were treated with rhodamine-R18 labeled vesicles in the presence of chemical drugs to block cellular functions. The cholesterol sequestering agent Filipin III complex, which binds to cholesterol in cholesterol-rich microdomains in the cell membrane, significantly reduced the uptake of B. cereus vesicles by approx. 65% as compared to internalization by untreated Caco2 cells (Fig. 4C, Additional file 2: Figure S2C).

Fig. 4
figure 4

Cellular uptake of B. cereus extracellular vesicles is mediated by means of membrane fusion via cholesterol-rich domains and endocytosis. A For B. cereus EV uptake, Rhodamine-R18 labeled B. cereus EVs (5 µg) were applied to Caco2 cells and the fluorescence intensity was measured every two minutes (shown here every six minutes for the sake of clarity) up to 90 min at 37 °C using a microtiter reader. An increase in fluorescence intensity indicates membrane fusion, shown as mean ± standard error of the mean (SEM) for three independent biological experiments. B Vesicles containing NheB were detected with AF488 (green) and found to be aggregated to the edges and surfaces of Caco2 cells indicating fusion (scale bar 5 µm, 3D-SIM images). C Inhibition of vesicle uptake by Caco2 was studied in the presence of either cholesterol-sequestering agents Filipin III (10 µg/ml) and Imipramine (10 mM), or dynamin and clathrin-mediated endocytosis inhibitors Dynasore (80 μM), and chlorpromazine (15 ug/ml; all from Sigma Aldrich, USA), respectively. After 1 h of cell treatment with the inhibitors, EVs were added and cultured for 90 min. The percentage of EV uptake in the presence of inhibitors was normalized to internalization in untreated cells. Mean ± standard error of the mean (SEM) is shown for three or four independent biological experiments. Statistical significance is calculated using two-tailed Student’s t-test (**p < 0.01, ***p < 0.001)

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Moreover, EV uptake could be significantly blocked by using clathrin- and dynamin-mediated endocytosis inhibitors, Chlorpromazine and Dynasore, respectively. In the presence of Chlorpromazine, EV internalization was significantly reduced by 29% compared to control, (Fig. 4C, Additional file 2: Figure S2D), whereas treatment with Dynasore revealed the strongest decrease (by 82%) in EV uptake (Fig. 4C; Additional file 2: Figure S2D). By comparison, Imipramin, a substance with surfactant properties and known for blocking acidic sphingomyelinase [46], showed a slight, but not significant decrease in vesicle internalization (by 28%) (Fig. 4C, Additional file 2: Figure S2D). Amilorid and Cytochalasin D, inhibitors blocking macropinocytosis and F-actin polymerization, respectively, showed no effect on B. cereus vesicle internalization by Caco2 cells (data not shown).

Collectively, these results indicate that the uptake of B. cereus vesicles by Caco2 cells occurs through multiple pathways but predominantly via cholesterol-rich domains and dynamin-mediated endocytosis.

Bioactive B. cereus vesicles induce hemolysis and elicit an inflammatory immune response in human blood cells

An important facet of prokaryotic EVs is their immunoreactivity via triggering pro-inflammatory immune responses that likely impact pathogenesis [40, 47]. In our model, B. cereus EVs triggered the secretion of the pro-inflammatory cytokine tumor necrosis factor-alpha (TNF-α) in human primary monocytes (Fig. 5A). TNF-α levels were highly upregulated at 4 h post-stimulation with B. cereus vesicles, indicating the onset of an inflammatory response.

Fig. 5
figure 5

Hemolytic and proinflammatory activity of B. cereus extracellular vesicles. A Human monocytes (2.5 × 106 cells/mL) were stimulated with 100 µg/mL of EV for 4 h at 37 °C / 5% CO2 and pro-inflammatory cytokine secretion was assessed using ELISA. Mock stimulation served as control. Concentrations are expressed as mean ± standard error of the mean (SEM) for three independent biological experiments. B Human erythrocytes were stimulated with different concentrations of EVs from wild type strain NVH0075-95 and EVs derived from single ∆nheBC, single ∆smase and double ∆nheBC∆smase mutants. After 1 h of stimulation at 37 °C, 5% CO2, erythrocytes were pelleted and the supernatant was transferred into a 96-well microtiter plate. The absorbance was measured at 540 nm using a microplate reader. The hemolytic activity is calculated as percentage of the positive control Triton X-100 and expressed as mean ± standard error of the mean (SEM) for three independent biological experiments. Statistical significance is calculated using the two-way ANOVA with Tukey's multiple comparisons test (*p < 0.05, **p < 0.01, ****p < 0.0001). C Single or double deletion of nheBC and smase in EVs was confirmed by western blotting

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To evaluate whether toxin-containing EVs from B. cereus NVH0075-95 are biologically active, we assessed their hemolytic activity on human erythrocytes. B. cereus EVs caused hemolysis in a concentration-dependent manner (Fig. 5B). Next, we generated EVs from an NVH0075-95 NheBC null mutant (ΔnheBC) to investigate the contribution of Nhe to EV-induced hemolysis. The successful deletion of nheBC was confirmed by immunoblot analysis (Fig. 5C). Notably, the hemolytic activity of EVs from the isogenic ΔnheBC mutant was clearly reduced compared with EVs originating from the wild-type strain. However, the ΔnheBC deletion did not completely abolish hemolysis (Fig. 5B), suggesting the involvement of other EV-derived virulence factors. Since SMase, a host damaging phospholipase shown to synergistically interact with Nhe in vitro and in vivo [23], was identified in NVH0075-95 EVs by proteome profiling (Fig. 2D), we next generated EVs from an NVH0075-95 Δsmase mutant and a double knockout mutant of nheBC and smase (ΔsmaseΔnheBC). The EVs derived from the Δsmase mutant showed decreased hemolytic activity to the same extent as ΔnheBC mutant vesicles. However, EVs originating from the double depletion of SMase and NheBC (ΔsmaseΔnheBC) abolished hemolysis (Fig. 5B), emphasizing the pivotal role of EVs as vehicles for a cooperative action of enterotoxin Nhe and phospholipase SMase in B. cereus pathogenicity.

Discussion

EVs secreted by clinically relevant bacteria are considered important mediators of host–pathogen interactions. In recent years, there is growing evidence that pathogenic Gram-positive bacteria deliver multiple virulence factors via EVs in a protected manner to target host cells and thereby contribute to bacterial pathogenesis [30, 31]. The Gram-positive endospore-forming pathogen B. cereus secretes a wide variety of membrane-damaging toxins that could act together or synergistically with each other and other virulence factors to enhance the cytotoxic potential [22, 23, 25]. However, the exact mechanism of B. cereus toxin and virulence factor delivery to the host and their uptake into target cells is hitherto unknown.

Here we show that the enteropathogenic B. cereus NVH0075-95 secretes biologically active EVs, loaded with exotoxins and various virulence factors, which elicit an inflammatory immune response in host cells. In line with data from B. anthracis [44], a close relative of B. cereus [1, 2], B. cereus EVs revealed spherical-like structures with an average size of 150 nm confirmed by light scattering and TEM analysis. Similar sizes were detected in other Gram-positive bacteria [48, 49], suggesting a natural, usual common size of Gram-positive bacteria-derived EVs.

Proteome profiling of B. cereus EVs revealed that proteins derived from the cytoplasm represent the most abundant EV component. Similar observations were reported for other Gram-positive bacteria, such as B. anthracis, Enterococcus faecalis, S. aureus and S. pneumoniae [39, 41, 44, 47, 50, 51]. Since cytoplasmic proteins lack secretion signals and more than half of the proteins detected in B. cereus vesicles do not have a predicted signal peptide, it is reasonable to conclude that EVs represent a specific secretory mechanism to B. cereus, as lately reported for S. aureus [51]. Several virulence-associated factors were identified in B. cereus EVs, including the multicomponent enterotoxin Nhe as well as membrane-active enzymes, such as the phospholipase PLC [52] and the sphingomyelin-degrading SMase [19, 53]. In addition, our proteomic screening approach revealed a penicillin-binding protein (PBP) critical for cell wall modification [44, 54], a tissue-degrading collagenase [52, 55], and an alcohol dehydrogenase-like protein recently described as a pathogenic biomarker involved in B. cereus virulence and survival against host innate defense [56]. Overall, these findings suggest a putative role of B. cereus EVs in the transfer of virulence factors to host cells.

The tripartite pore-forming toxin Nhe requires the combined action of the three components NheA, NheB and NheC to induce lysis in vitro [13, 15]. Although Nhe is thought to be crucial for B. cereus pathogenicity, the mechanisms by which the toxin components are delivered to the host cell and assembled on host cell membranes are poorly understood. According to the current model on the mode of action of Nhe, binding of NheB and NheC occurs in solution before binding to the host cell membrane, albeit both NheB and NheC are capable of binding to cell membranes. The subsequent binding of NheA further induces pore formation and, finally, cell membrane leakage [13, 15]. NheC is assumed to be required in the priming step to induce maximum cytotoxicity [13, 14]. However, since NheC is present only in very low amounts in B. cereus natural culture supernatant, studies on the complex formation of Nhe components have so far only been performed with recombinant NheC in artificial systems [13,14,15]. It has been suggested that NheC in solution is almost 90% bound to NheB, which is necessary to induce but also to limit the toxic effect of Nhe [14]. These results from artificial systems are supported by our in vitro data using 3D-SIM microscopy, showing that NheB and NheC colocalize in B. cereus EVs as well as on host cell membranes.

The genes encoding the three Nhe components are organized into an operon that is polycistronic transcribed after PlcR activation [57]. Thus, the different levels of Nhe subunits usually found in supernatants of B. cereus cultures indicate posttranscriptional regulation and / or a regulated secretion of Nhe components. Secretion of premature Nhe components via the general secretory pathway has been described but the exact mechanism of secretion is still unknown [58]. By using highly specific antibodies for protein detection we demonstrated in our current work that NheC is strongly enriched and exclusively located in B. cereus EVs as compared to the vesicle-free supernatant. NheB together with NheC was detected in B. cereus-derived EVs, while NheA was mainly detected in the vesicle-free supernatant, supporting its role in the final stage of pore formation rather than at initiation [13, 59]. Since our data show that Nhe components are enriched in EVs, it is tempting to speculate that B. cereus uses EVs as an export system to transport multicomponent toxins and virulence-associated factors simultaneously and at specific concentrations to host cells. Similarly, it has been reported that B. anthracis uses EVs for the transport of the anthrax toxin, which comprises one binding component and two active components [44, 49]. These findings along with results from preliminary studies (data not shown) with a B. cereus strain producing Hbl, a further tripartite enterotoxin, foster the hypothesis that Gram-positive bacteria employ EVs as vehicles to deliver multicomponent toxins to host cells at defined concentrations and in a shielded manner.

Fusion of EVs with non-phagocytic cells via macropinocytosis, clathrin-mediated endocytosis (CME), caveolin-mediated endocytosis, and non‐caveolin/non-clathrin-mediated endocytosis (using lipid rafts or direct membrane fusion) has been well described as pathways for the uptake of outer membrane vesicles (OMVs) from Gram-negative bacteria [60]. In contrast, there is not much data available about the uptake mechanism of EVs from Gram-positive bacteria by host cells. Transcytosis of probiotic B. subtilis EVs through Caco2 monolayer has been recently suggested as a possible transport route of EVs across the epithelium to the bloodstream and surrounding tissue and organs [61]. As the gastrointestinal tract is essential for the virulent life cycle of B. cereus, we used human intestinal epithelial Caco2 as an in vitro model to study the interaction of B. cereus-derived EVs with the host. Consistent with previous reports in S. aureus [38, 48], we could show that B. cereus EVs fuse with human intestinal epithelial Caco2 cell membranes via cholesterol-rich domains in a time-dependent manner, which was strongly blocked by Filipin III. Besides, Dynasore, an endocytosis inhibitor, entirely blocked the uptake of B. cereus vesicles by Caco2 cells, implying that B. cereus utilizes dynamin-mediated endocytosis as an entry route. Some reduction of vesicle internalization was also observed with Chlorpromazine, an inhibitor of clathrin-dependent endocytosis. However, no effects were observed when blocking macropinocytosis and actin-dependent endocytosis. A recent study showed that S. aureus EVs are internalized by macrophages predominantly via the dynamin-mediated pathway whereas no effect was observed by using inhibitors for clathrin-, lipid raft-, and actin-dependent endocytosis [62]. These findings highlight the differences in the architecture and composition of EVs derived from various bacterial species while indicating the conservation of host uptake mechanisms. Both membrane fusion and endocytosis depend on the integrity of EVs, which allow direct delivery of concentrated components into host cells, enhancing thereby cell damage and immunomodulation. Although our results presented here emphasize the importance of cholesterol-rich domains and dynamin in B. cereus EV uptake, it could not be excluded that B. cereus EVs exploit diverse entry routes for their cargo delivery to diverse host cells. Thus, further studies will be needed to fully decipher the mechanism of interactions between B. cereus-derived EV and host cells.

Our data further demonstrated that upon successful membrane fusion, the three components of Nhe were in close proximity to the cell membrane region of human epithelial Caco2 cells. This finding is in line with previous studies reporting that NheC contains a putative hydrophobic membrane integrative region that is essential for binding to cell membranes [13, 14, 63]. In addition, Hbl component L1 and component B, which share 40% and 25% sequence identities with NheB and NheC, respectively [2], harbor putative transmembrane regions that facilitate the binding to the cell membrane, leading to rapid cell lysis or activation of the NLRP3 inflammasome in a manner dictated by the bioavailability and concentration of Hbl [64]. A similar effect might also apply to the assembly of Nhe components.

In addition to intact bacteria, uptake of bacterial EVs and their cargo by host cells can also lead to cytotoxicity, depending on the proteinaceous cargo the EVs contain. For instance, internalization of probiotic B. subtilis EVs by Caco2 cells did not affect cellular proliferation or viability [61], while pathogenic S. aureus EVs of different strains showed versatile cytotoxic potential towards host cells [47, 65]. The pathogenic potential of B. cereus strains also varies widely, ranging from strains that show no in vitro cytotoxic activity to strains that are highly cytotoxic [25, 66]. The use of bacterial supernatants obtained by low-speed centrifugation showed that B. cereus strain NVH0075-95 has the most potent toxic effects on human primary endothelial cells (HUVEC), in addition to Vero and human Caco2 epithelial cells. However, cell death occurred late at 24 h post-stimulation, suggesting the loss of mitochondrial function rather than rapid pore formation [67]. Similarly, we demonstrated that NVH0075-95-derived EVs, enriched in various virulence-associated mediators, elicited a cytotoxic effect on human Caco2 cells 24 h after stimulation, underscoring the critical role of EVs in B. cereus pathogenicity.

Despite the clinical importance of B. cereus in humans, little is known about the role of the immune system in host defense against this pathogen. Our data showed that B. cereus EVs are functionally active and able to induce hemolysis in human red blood cells in a concentration-dependent manner, which so far has only been shown on erythrocytes using recombinant Nhe components [68]. Furthermore, our study revealed that the presence of both Nhe and SMase in B. cereus EVs increased hemolysis compared to single mutant vesicles, emphasizing the importance of the interplay of virulence factors for B. cereus pathogenicity. A synergistic interaction of Nhe and SMase has also been described for B. cereus virulence in vivo using an insect model [23]. Based on our study, it is tempting to speculate that besides Nhe and SMase, multiple virulence factors packaged in B. cereus vesicles might act in concert to potentiate pathogenicity. Thus, the investigation of B. cereus vesicles might open new possibilities to study this synergism in more detail ex vivo as well as in vivo. Furthermore, we observed that B. cereus EVs interact with human monocytes, resulting in the systemic induction of TNF-α secretion. TNF-α is an endogenous alarm signal, which drives inflammatory responses in injury or infection to recruit other immune cells to evoke an immune-stimulatory cascade. Similarly, increased secretion of TNF-α has been reported in antigen-presenting cells upon exposure to streptococcal EVs [40, 43, 69], suggesting their immunomodulatory effect. A recent study in S. aureus revealed that pore-forming toxins and lipoproteins associated with EVs induced NLPR3-dependent caspase-1 activation via K + efflux and TLR2 signaling, respectively, in human macrophages which resulted in the cellular release of pro-inflammatory cytokines IL-1β and IL-18 and, finally, pyroptosis [62]. Interestingly, it was reported that a recombinant Nhe complex drives activation of the NLRP3 inflammasome by targeting the plasma membrane of host cells [63]. This observation may indicate that B. cereus utilizes EVs as a targeted toxin delivery system of both lipoproteins and functional toxins to induce NLRP3 activation, as recently shown for S. aureus [62]. However, further studies are needed to confirm this association.

Limitation of this study

Currently, there are no minimal guidelines for the isolation of bacterial extracellular vesicles, in contrast to the minimal information for studies of eukaryotic extracellular vesicles defined in 2018 by a position paper of the International Society for Extracellular Vesicles (MISEV2018) [70]. In the present study, we thus employed a commonly used differential centrifugation approach for the isolation of B. cereus EVs. After the removal of bacterial cells and cell debris (including insoluble proteins), EVs were concentrated by filtration using a cutoff of 100 kDa to ensure that proteins < 100 kDa, possibly present in the supernatant most likely due to cell lysis, are not enriched in the vesicle fraction. Finally, EVs were pelleted by ultracentrifugation to remove the supernatant as well as the remaining soluble proteins. Alternatively, tangential flow filtration, size-exclusion chromatography (SEC), or density gradient centrifugation (DGC) can be considered as further purification steps for reaching high-quality EVs [51, 71]. However, each of the aforementioned methods for EV purification has its pros and cons, and further systematic studies are needed to define the most suitable protocols for the isolation of EVs for a defined bacterial species and the respective purpose of EV production. For instance, it has been shown by Hong et al. [71] that the purification of crude E. coli EVs by SEC or DGC did only result in the removal of a low number of potential contaminating proteins. Furthermore, it has been reported that higher purification methods can miss important EV compounds, for instant LPS in E. coli-derived EVs [72]. Thus, we opted for differential centrifugation to isolate crude EV preparations and did not use additional methods for further EV purifications. However, it cannot be completely ruled out that the vesicles in our current work are still contaminated with aggregated proteins. Therefore, we characterized single vesicles, by applying different approaches such as TEM, FTIR, and NTA to meet the general criteria of the MISEV2018 guidelines. In addition, the data from our proteomic studies revealed the presence of flotillin in B. cereus EVs (Additional file 3 and Fig. 2C). Flotillin is mentioned in MISEV2018 category 2b [70] as a marker to demonstrate the EV nature and the purity level of an EV preparation.

Since the main purpose of our proteomics approach was to screen for potential virulence factors in EVs, we performed only qualitative proteome analysis using two biological replicates. Thus, further quantitative proteomic studies of EVs as well as vesicle-free supernatants are needed to fully decipher the proteidogenous cargo of B. cereus EVs, including detailed quantitative information on toxins and other virulence-related factors. However, such studies require a substantially different proteomic approach, using specific labeling techniques (e.g., iTRAQ) or specific label-free techniques (e.g., Sequential Window Acquisition of all Theoretical Mass Spectra (SWATH) mass spectrometry). Therefore, they are beyond the scope of our current work, which focuses on the biological activity of B. cereus EVs.

Conclusion

Though considerable progress has been made in the characterization of EVs from Gram-positive bacteria [30, 31], their role in B. cereus pathogenicity remained elusive. The discovery of B. cereus vesicles provides the first insights into the protective transfer of B. cereus multicomponent toxins to host cells and their assembly at host cell membranes under physiological conditions. It thus opens up new possibilities for deciphering their molecular mechanisms of action.

Our results demonstrate that EVs produced by B. cereus serve as a secretory pathway to deliver bacterial effector molecules to the host simultaneously and at defined concentrations, enabling their concerted and synergistic action on target cells. EVs derived from a wild-type strain and isogenic knockout mutants proved to be a valuable tool to fine-tune the EV protein cargo for studying synergistic interactions of pore-forming toxins and cell membrane active enzymes and also provide new opportunities to study immunomodulating functions of bacterial effectors delivered to the host by EVs.

Methods

B. cereus strains and growth conditions

The enteropathogenic B. cereus strain NVH0075-95, isolated from vegetables after a large food poisoning outbreak in Norway [7], and its isogenic mutant strains Δsmase, ΔnheBC, and ΔnheBCΔsmase [23] were routinely grown in Lysogeny Broth (LB) or on LB agar plates at 30 °C.

Isolation of B. cereus EVs

EVs were isolated from B. cereus culture supernatants, as described previously with minor modifications [44]. Briefly, B. cereus strains were inoculated at a cell density of OD600 of 0.05 in 50 mL LB-medium and grown for 17 h at 30 °C under shaking (120 rpm). After removal of the bacterial cells at 3,000 × g and 4,000 × g for 15 min at 4 °C, the EV containing supernatant was sterile filtered (0.45 µm cutoff) and centrifuged at 10,000 × g for 15 min at 4 °C to remove cellular debris. Subsequently, an Amicon® ultrafiltration system (100 kDa cutoff; Millipore, USA) was used to concentrate the EVs and remove soluble proteins (< 100 kDa) and supernatant. Finally, EVs were collected by ultracentrifugation at 125,000 × g for 1 h at 4 °C in a TLA-45 rotor (Optima TLX centrifuge; Beckman Coulter, USA). EV pellets were washed and resuspended in phosphate-buffered saline (PBS). Protein determination was performed using DC Protein Assay (BioRad, Vienna, Austria) according to the manufacturer’s instructions. Proteins in the vesicle-free filtrate were precipitated by 10% ice-cold trichloroacetic acid (TCA) solution as reported [66]. Protein concentration from precipitated proteins was determined using the 2-D Quant Kit (GE Healthcare, USA), according to the manufacturer’s instructions.

The characterization of EVs was performed according to minimal information for studies of extracellular vesicles (MISEV) 2018 guidelines [70]. Mass spectrometry was used to determine the protein composition of EVs, whereas transmission electron microscopy (TEM) and nanoparticle tracking analysis (NTA) were utilized to visualize their characteristic lipid-bilayer structure and size, respectively. Protein, fatty acids, and polysaccharide ratios of EVs compared to the bacterium were determined by means of FTIR spectroscopy. Furthermore, FTIR spectroscopy was used to monitor the quality of EV preparations (see description in the section FTIR spectroscopy).

Size distribution using nanoparticle tracking analysis (NTA)

The effective diameter and size distribution of EVs were measured using ZetaView × 30 TWIN Laser System 488/640 (Particle Metrix, Inning am Ammersee, Germany) as described [73, 74]. For this purpose, EVs were diluted 1:1,000 in shortly prior sterile-filtered PBS and the instrument was calibrated using 100 nm polystyrene beads. Particle tracking analysis was performed in scatter mode with a 488 nm laser with the following settings: Minimum brightness 30; minimum area 10; maximum brightness 255; maximum area 1000; temperature 25 °C; shutter of 70; sensitivity was adjusted to achieve the appropriate amount of traces, as suggested by the manufacturer.

Fourier transform infrared (FTIR) spectroscopy

Differences in the metabolic fingerprints between bacteria and EVs as well as the robustness of EV isolations were assessed by FTIR spectroscopy. Therefore, purifying EVs from six independent bacterial cultures were subjected to FTIR spectroscopy as described previously [75]. In brief, suspensions containing either EVs or bacterial cells were prepared and transferred to zinc selenite (ZnSn) optical microtiter plates (Bruker Optics GmbH, Ettlingen, Germany) and dried at 40 °C for 40 min. FTIR spectra were recorded in transmission mode with the aid of an HTS-XT microplate adapter coupled to a Tensor 27 FTIR spectrometer (Bruker Optics GmbH, Germany) using the following parameters: 4000 to 500 cm−1 spectral range, 6 cm−1 spectral resolution, averaging of 32 interferograms with background subtraction for each spectrum.

To compare FTIR spectra derived from bacterial cells and EVs, FTIR spectra were preprocessed using vector normalization, baseline correction and calculation of second derivates over the whole spectra using a second-order 9-point Savitzky–Golay algorithm. Spectroscopic ratios of fatty acids (3020 – 2800 cm−1), proteins (1720—1500 cm−1) and polysaccharides (1200—900 cm−1) of bacterial cells versus EVs were calculated as described previously with minor modifications [75]. In brief, raw spectra were baseline corrected and smoothed using the Savitsky-Golay method (5 smoothing points, 3rd-grade polynomial), followed by total integration of the indicated areas, whereas the integration of the amide area was fitted using Lorentzian component bands.

Transmission electron microscopy (TEM) analysis

For transmission electron microscopy (TEM) imaging, pelleted EVs were fixed in 3% neutral buffered glutaraldehyde (Merck Millipore, USA), pre-embedded in 1.5% agar and washed in Sorenson's phosphate buffer (pH 6,8; Morphisto, Vienna, Austria), as described previously [76]. After post-fixation in 1% osmium tetroxide (Electron Microscopy Sciences, Hatfield Township, PA, USA), samples were sequentially dehydrated in ethanol series, soaked in propylene oxide and embedded in epoxy resin (Serva Electrophoresis GmbH, Heidelberg, Germany). Ultrathin sections (70 nm) were obtained with a Leica Ultramicrotome (Leica Ultracut S, Vienna, Austria) and contrasted with alkaline-lead citrate (Merck Millipore, USA) and methanolic-uranyl acetate (Sigma-Aldrich, USA). Vesicle structures were visualized on a transmission electron microscope Zeiss EM 900 (Carl Zeiss Microscopy GmbH, Jena, Germany) equipped with a digital Frame-Transfer-CCD camera (Tröndle TRS, Moorenweis, Germany).

Liquid chromatography-tandem mass spectrometry (LC–MS/MS)

Sample preparation and digestion by filter aided sample preparation (FASP)

Isolated B. cereus EVs were prepared for proteomic analysis to screen for virulence factors as described previously [77]. Equal protein amounts of isolated B. cereus EVs were precipitated with 10% ice-cold TCA [78, 79]. Precipitated proteins were washed with ice-cold acetone, air-dried and re-suspended in 6 M urea, 2 M thiourea and 10 mM TRIS. In total, 30 µg of protein was mixed with 8 M Urea in 50 mM TRIS and loaded onto an Amicon 10 kDa filter (2 × 20 min at 10,000 × g). The samples were reduced with 200 mM dithiothreitol (DTT) (37 °C, 30 min) and alkylated with 500 mM iodoacetamide (IAA) (37 °C, 30 min). After washing with 50 mM TRIS twice, digestion was done using Trypsin/LysC Mix in a ratio of 1:25 (protease:protein) overnight at 37 °C. Digested peptides were recovered in 150 µl of 50 mM TRIS and acidified with 0.1% trifluoroacetic acid (TFA). Prior to LC–MS analysis, peptide extracts were desalted and cleaned using C18 spin columns (Pierce Biotechnology, USA) according to the manufacturer’s protocol. The dried peptides were dissolved in 300 µl 0.1% TFA, of which 3 µl were injected into the LC–MS/MS system.

Mass spectrometry and data analysis

Peptides were separated and identified on a nano-HPLC Ultimate 3000 RSLC system (Dionex, USA) coupled to a high-resolution Q Exactive HF Orbitrap mass spectrometer (Thermo Fisher Scientific, USA). Raw spectra were subjected to database searches using Proteome Discoverer Software 2.4.0.305 with the Sequest HT algorithm (Thermo Fisher Scientific, USA). The UniProt database for B. cereus (taxonomy 1396, accessed on 11.5.2022) and a common contaminant database (https://www.thegpm.org/crap/; accessed on 11.5.2022) were used for query of the spectra. Following search parameters were applied: Trypsin as an enzyme with a maximum of two allowed missed cleavages; 10 ppm precursor mass tolerance and 0.02 Da fragment mass tolerance. As dynamic modifications oxidation/ + 15.955 Da (M) and deamidation/ + 0.984 Da (N, Q), as N-terminal modifications acetyl/ + 42.001 Da (N-Terminus), Met-loss/-131.040 Da (M) and Met-loss + Acetyl/89.030 Da (M) and as fixed modifications Carbamidomethyl/ + 57.021 Da (C) was used. Proteins were identified on the basis of at least two peptides and strict false discovery rate targets of 0.01 (1%) threshold in all nodes in Proteome Discoverer 2.4.0.305 (Thermo Fisher Scientific). The overlap of protein identities in the biological replicates was used for further analysis. Signal peptide cleavage sites were predicted using SignalP v6.0 [80], subcellular locations were predicted using PsortB v3.0.3 (https://www.psort.org/psortb/ and gene-term enrichment analysis was performed using KEGG and by setting a false discovery rate (FDR) to < 0.05.

Immunoblotting

Proteins from EVs and TCA-precipitated EV-free supernatants were separated on 12.5% SDS-PAGE gels and blotted on a nitrocellulose membrane (BioRad Transblot SD Semi Dry Transfer Cell, BioRad, Vienna, Austria). Subsequently, blotted proteins were labeled either with mouse monoclonal anti-SMase antibody (0.5 µg/mL, 33kDaI-MAb 2A12), mouse monoclonal antibodies anti-NheA IgG1 (1A8; 2.5 µg/mL), anti-NheB IgG1κ (1E11; 1.25 µg/mL), and anti-NheC IgM (3D6; 5 µg/mL) [81] followed by peroxidase-conjugated goat anti-mouse IgG antibody (1:20,000) (Dianova, Hamburg, Germany). Generally, 5 µg of total protein was used for immunoblotting. In addition, 40 µg total protein of EV-free supernatants was tested for NheC. Immunoreactive bands were visualized using Super Signal West Pico Chemiluminescent Substrate (Thermo Fisher Scientific, USA) and scanned with ChemiDoc MP Imaging System (BioRad, Vienna, Austria).

EV uptake assay

Uptake of EVs by human intestinal Caco2 epithelial cells was monitored using the self-quenching lipophilic dye Octadecyl Rhodamine B Chloride (R18; Molecular Probes, Life Technologies, USA) as described [82, 83]. In brief, 5 µg of EV protein were stained with 1 mg/mL R18 for 1 h at room temperature, followed by two washing steps in 0.2 M NaCl at 125,000 × g for 1 h at 4 °C. Prior to vesicle uptake, 1 × 104 Caco2 cells were incubated in MEM/10% FBS for 48 h in 96-well plates (Corning Inc., USA) at 37 °C in 5% CO2 atmosphere and were then incubated with R18-labeld EVs in 100 µL 0.2 M NaCl per well. To inhibit vesicle uptake, Caco2 cells were treated either with cholesterol-sequestering agents Filipin III (10 ug/ml) and Imipramine (10 mM), or endocytosis inhibitors Dynasore (80 μM), Cytochalasin D (1 μg/ml), Chlorpromazine (15 ug/ml), and Amiloride (10 mM; all from Sigma Aldrich). The substances were added 1 h prior to the addition of R18-labeled vesicles. Fluorescence was detected every 2 min for a total period of 90 min at 37 °C with a fluorescence reader (570/595 nm; SpectraMax M3, Molecular Devices, USA). The % of EV uptake was calculated after 90 min of treatment and normalized to untreated control.

Cytotoxicity assay

Cytotoxicity of EVs was quantified using a cell culture assay based on Caco2 cells. Caco2 cells (2 × 105 cells/mL) were incubated with 200 µg/mL EVs in MEM-Earle medium supplemented with 2% fetal calf serum (FCS; v/v) for 24 h at 37 °C in a 5% CO2 atmosphere. The viability of the cells was measured using the Vita-Orange Cell Viability Reagent (Biotool, Switzerland), according to the manufacturer’s protocol. The viability of treated cells was determined as a percentage compared to untreated control cells.

Super-resolution microscopy

Visualization of Nhe containing extracellular vesicles

Extracellular vesicles (25 µg) were fixed with 4% paraformaldehyde (PFA) and incubated consecutively with mouse monoclonal antibody NheA IgG1 (1A8; 12.5 µg/mL), NheB IgG1k (1E11; 12.5 µg/mL) and NheC IgM (3D6; 17.5 µg/mL) for 1 h. After washing steps with PBS/5% BSA, Nhe proteins were labeled with secondary goat anti-mouse IgG AlexaFluor®488 and goat anti-Mouse AF568 IgM (4 µg/mL, Molecular Probes, Life Technologies, USA).

Delivery of Nhe-containing EVs to Caco2 cells

Caco2 cells were cultured in 8-well ibidi µ-slides (ibidi GmbH, Martinsried, Germany) and treated with 200 µg/mL of EVs for 2 h at 37 °C, 5% CO2. After washing with PBS, cells were fixed with 4% PFA and incubated with a buffer solution containing 0.05% bovine serum albumin (BSA), 0.1% Triton X-100, and 0.025% Tween 20 in PBS. Cells were incubated consecutively with mouse monoclonal antibody NheA IgG (1A8) and NheC IgM (3D6) or NheB IgG1κ (1E11) and NheC IgM (3D6) for 1 h at a final concentration of 4 µg per well and were detected with the secondary goat anti-mouse IgG AlexaFluor®488 and goat anti-Mouse AF568 IgM (2 µg per well, respectively) (Molecular Probes, Life Technologies, USA). Nuclei were stained with 1.5 μM 4',6-diamidino-2-phenylindole (DAPI, Sigma Aldrich). Fluorescence 3D-SIM (structured illumination microscopy) images were acquired with the Zeiss LSM710 Elyra PS.1 microscope system equipped with an Andor iXon 897 (EMCCD) camera. Image processing was performed using the Zeiss ZEN 2012 software (Carl Zeiss Microscopy GmbH, Jena, Germany).

Hemolysis assay

Human erythrocytes from three different donors were isolated from leukocyte reduction system (LRS) chambers of a Trima Accel® automated blood collection system (Terumo BCT, USA) by Ficoll gradient centrifugation. Plasma and mononuclear cell layer were removed and erythrocytes were washed twice with PBS (pH 7.4). A quantitative hemolytic assay was performed as described earlier [82]. Briefly, 50 µL human erythrocytes (5 × 108/mL) were incubated with an equal volume of 12.5, 25 and 50 µg of EVs for 1 h at 37 °C. PBS and 5% (v/v) Triton X-100 served as negative and positive controls, respectively. After incubation, 100 µL ice-cold PBS was added and centrifuged at 400 × g for 15 min at 4 °C. The hemolytic activity from the supernatant was determined by the release of hemoglobin at 540 nm (SpectraMax M3, Molecular Devices, USA) and calculated as percentage relative to the positive control.

Isolation and stimulation of human primary monocytes with EVs

Human peripheral blood mononuclear cells (PBMCs) from three different donors were isolated from leukocyte reduction system (LRS) chambers of a Trima Accel® automated blood collection system (Terumo BCT, USA) and cultured as previously described [84]. To characterize the pro-inflammatory potential of EVs, 200 µl of human primary monocytes (2.5 × 106/mL) were stimulated with 100 µg/mL of EVs for 4 h in a 96-well plate at 37 °C in RPMI medium. Supernatants were collected and the concentration of TNF-α was quantified by ELISA (Merck Millipore, USA).

Statistical analysis of data

Statistical analyses for at least three independent biological replicates were performed with the aid of GraphPad Prism8 software (GraphPad Software, Inc., USA). Statistical significance was calculated using Student’s two-tailed unpaired t-test and the two-way ANOVA with Tukey's multiple comparisons test was applied for multiple comparisons. Statistical significance was concluded when a probability value (p value) was lower than 0.05.

Availability of data and materials

The datasets used and/or analyzed in the present study are available from the corresponding author on reasonable request. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE [85] partner repository with the dataset identifier PXD041561.

Change history

Abbreviations

ABC:

ATP-binding cassette

Caco2:

Human colon carcinoma cell line 2

CME:

Clathrin-mediated endocytosis

DTT:

Dithiothreitol

EVs:

Extracellular vesicles

FASP:

Filter aided sample preparation

FCS:

Fetal calf serum

FDR:

False discovery rate

FTIR:

Fourier tansform infrared spectroscopy

Hbl:

Hemolysin BL

IAA:

Iodacetamide

LB:

Lysogeny broth

LC–MS/MS:

Liquid Chromatography-Tandem Mass Spectrometry

LRS:

Leukocyte reduction system

MISEV:

Minimal information for studies of erxtracellular vesicles

Nhe:

Non-hemolytic enterotoxin

NTA:

Nanoparticle tracking analysis

OMVs:

Outer membrane vesicles

PBMCs:

Peripheral blood mononuclear cells

PBP:

Penicillin binding protein

PBS:

Phosphate-buffered saline

PFA:

Paraformaldehyde

PLC:

Phospholipase C

R18:

Octadecyl rhodamine B chloride

SMase:

Sphingomyelinase

TCA:

Thrichloroacetic acid

TEM:

Transmission electron microscopy

TFA:

Trifluoroacetic

TNF-α:

Tumor necrosis factor-alpha

References

  1. Ehling-Schulz M, Lereclus D, Koehler TM. The Bacillus cereus Group: Bacillus Species with Pathogenic Potential. Microbiol Spectr. 2019;7(3):1-35.

  2. Dietrich R, Jessberger N, Ehling-Schulz M, Märtlbauer E, Granum PE. The food poisoning toxins of Bacillus cereus. Toxins (Basel). 2021;13(2):98.

    Article  CAS  PubMed  Google Scholar 

  3. Bottone EJ. Bacillus cereus, a volatile human pathogen. Clin Microbiol Rev. 2010;23(2):382–98.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Glasset B, Herbin S, Granier SA, Cavalié L, Lafeuille E, Guérin C, et al. Bacillus cereus, a serious cause of nosocomial infections: Epidemiologic and genetic survey. PLoS ONE. 2018;13(5):e0194346.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Tschiedel E, Rath PM, Steinmann J, Becker H, Dietrich R, Paul A, et al. Lifesaving liver transplantation for multi-organ failure caused by Bacillus cereus food poisoning. Pediatr Transplant. 2015;19(1):E11–4.

    Article  PubMed  Google Scholar 

  6. Rouzeau-Szynalski K, Stollewerk K, Messelhäusser U, Ehling-Schulz M. Why be serious about emetic Bacillus cereus: cereulide production and industrial challenges. Food Microbiol. 2020;85:103279.

    Article  CAS  PubMed  Google Scholar 

  7. Lund T, Granum PE. Characterisation of a non-haemolytic enterotoxin complex from Bacillus cereus isolated after a foodborne outbreak. FEMS Microbiol Lett. 1996;141(2–3):151–6.

    Article  CAS  PubMed  Google Scholar 

  8. Ehling-Schulz M, Fricker M, Scherer S. Bacillus cereus, the causative agent of an emetic type of food-borne illness. Mol Nutr Food Res. 2004;48(7):479–87.

    Article  PubMed  Google Scholar 

  9. Schmid D, Rademacher C, Kanitz EE, Frenzel E, Simons E, Allerberger F, et al. Elucidation of enterotoxigenic Bacillus cereus outbreaks in Austria by complementary epidemiological and microbiological investigations, 2013. Int J Food Microbiol. 2016;232:80–6.

    Article  PubMed  Google Scholar 

  10. Beecher DJ, Schoeni JL, Wong AC. Enterotoxic activity of hemolysin BL from Bacillus cereus. Infect Immun. 1995;63(11):4423–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Ehling-Schulz M, Svensson B, Guinebretiere MH, Lindbäck T, Andersson M, Schulz A, et al. Emetic toxin formation of Bacillus cereus is restricted to a single evolutionary lineage of closely related strains. Microbiology (N Y). 2005;151(1):183–97.

    CAS  Google Scholar 

  12. Guinebretière MH, Broussolle V, Nguyen-The C. Enterotoxigenic profiles of food-poisoning and food-borne Bacillus cereus strains. J Clin Microbiol. 2002;40(8):3053–6.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Lindbäck T, Hardy SP, Dietrich R, Sødring M, Didier A, Moravek M, et al. Cytotoxicity of the Bacillus cereus Nhe enterotoxin requires specific binding order of its three exoprotein components. Infect Immun. 2010;78(9):3813–21.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Heilkenbrinker U, Dietrich R, Didier A, Zhu K, Lindbäck T, Granum PE, et al. Complex Formation between NheB and NheC Is Necessary to Induce Cytotoxic Activity by the Three-Component Bacillus cereus Nhe Enterotoxin. PLoS ONE. 2013;8(4):e63104.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Lindback T. Characterization of the Bacillus cereus Nhe enterotoxin. Microbiology (N Y). 2004;150(12):3959–67.

    Google Scholar 

  16. Didier A, Dietrich R, Gruber S, Bock S, Moravek M, Nakamura T, et al. Monoclonal antibodies neutralize Bacillus cereus nhe enterotoxin by inhibiting ordered binding of its three exoprotein components. Infect Immun. 2012;80(2):832–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Clair G, Roussi S, Armengaud J, Duport C. Expanding the known repertoire of virulence factors produced by Bacillus cereus through early secretome profiling in three redox conditions. Mol Cell Proteomics. 2010;9(7):1486–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Duport C, Rousset L, Alpha-Bazin B, Armengaud J. Bacillus cereus decreases NHE and CLO exotoxin synthesis to maintain appropriate proteome dynamics during growth at low temperature. Toxins. 2020;12(10):645.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Oda M, Yokotani A, Hayashi N, Kamoshida G. Role of sphingomyelinase in the pathogenesis of Bacillus cereus Infection. Biol Pharm Bull. 2020;43(2):250–3.

    Article  CAS  PubMed  Google Scholar 

  20. Lyu Y, Ye L, Xu J, Yang X, Chen W, Yu H. Recent research progress with phospholipase C from Bacillus cereus. Biotechnol Lett. 2016;38(1):23–31.

    Article  PubMed  Google Scholar 

  21. Enosi Tuipulotu D, Mathur A, Ngo C, Man SM. Bacillus cereus: epidemiology, virulence factors, and host-pathogen interactions. Trends Microbiol. 2021;29(5):458–71.

    Article  CAS  PubMed  Google Scholar 

  22. Beecher DJ, Wong ACL. Cooperative, synergistic and antagonistic haemolytic interactions between haemolysin BL, phosphatidylcholine phospholipase C and sphingomyelinase from Bacillus cereus. Microbiology (N Y). 2000;146(12):3033–9.

    CAS  Google Scholar 

  23. Doll VM, Ehling-Schulz M, Vogelmann R. Concerted action of sphingomyelinase and non-hemolytic enterotoxin in pathogenic Bacillus cereus. PLoS ONE. 2013;8(4):e61404.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Ago H, Oda M, Takahashi M, Tsuge H, Ochi S, Katunuma N, et al. Structural basis of the sphingomyelin phosphodiesterase activity in neutral sphingomyelinase from Bacillus cereus. J Biol Chem. 2006;281(23):16157–67.

    Article  CAS  PubMed  Google Scholar 

  25. Jessberger N, Kranzler M, Da Riol C, Schwenk V, Buchacher T, Dietrich R, et al. Assessing the toxic potential of enteropathogenic Bacillus cereus. Food Microbiol. 2019;84:103276.

    Article  CAS  PubMed  Google Scholar 

  26. Deatherage BL, Cookson BT. Membrane vesicle release in bacteria, eukaryotes, and archaea: a conserved yet underappreciated aspect of microbial life. Infect Immun. 2012;80(6):1948–57.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Woith E, Fuhrmann G, Melzig MF. Extracellular vesicles—connecting kingdoms. Int J Mol Sci. 2019;20(22):5695.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Deatherage BL, Lara JC, Bergsbaken T, Barrett SLR, Lara S, Cookson BT. Biogenesis of bacterial membrane vesicles. Mol Microbiol. 2009;72(6):1395–407.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Schwechheimer C, Kuehn MJ. Outer-membrane vesicles from Gram-negative bacteria: biogenesis and functions. Nat Rev Microbiol. 2015;13(10):605–19.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Brown L, Wolf JM, Prados-Rosales R, Casadevall A. Through the wall: extracellular vesicles in Gram-positive bacteria, mycobacteria and fungi. Nat Rev Microbiol. 2015;13(10):620–30.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Briaud P, Carroll RK. Extracellular vesicle biogenesis and functions in gram-positive bacteria. Infect Immun. 2020;88(12):e00433-20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Nagakubo T, Nomura N, Toyofuku M. Cracking open bacterial membrane vesicles. Front Microbiol. 2020;17:10.

    Google Scholar 

  33. Toyofuku M, Nomura N, Eberl L. Types and origins of bacterial membrane vesicles. Nat Rev Microbiol. 2019;17(1):13–24.

    Article  CAS  PubMed  Google Scholar 

  34. Toyofuku M, Cárcamo-Oyarce G, Yamamoto T, Eisenstein F, Hsiao CC, Kurosawa M, et al. Prophage-triggered membrane vesicle formation through peptidoglycan damage in Bacillus subtilis. Nat Commun. 2017;8(1):481.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Wang X, Thompson CD, Weidenmaier C, Lee JC. Release of Staphylococcus aureus extracellular vesicles and their application as a vaccine platform. Nat Commun. 2018;9(1):1379.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Liu Y, Defourny KAY, Smid EJ, Abee T. Gram-positive bacterial extracellular vesicles and their impact on health and disease. Front Microbiol. 2018;9:9.

    Google Scholar 

  37. Gill S, Catchpole R, Forterre P. Extracellular membrane vesicles in the three domains of life and beyond. FEMS Microbiol Rev. 2019;43(3):273–303.

    Article  CAS  PubMed  Google Scholar 

  38. Thay B, Wai SN, Oscarsson J. Staphylococcus aureus α-Toxin-Dependent Induction of Host Cell Death by Membrane-Derived Vesicles. PLoS ONE. 2013;8(1):e54661.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Lee EY, Choi DY, Kim DK, Kim JW, Park JO, Kim S, et al. Gram-positive bacteria produce membrane vesicles: proteomics-based characterization of Staphylococcus aureus-derived membrane vesicles. Proteomics. 2009;9(24):5425–36.

    Article  CAS  PubMed  Google Scholar 

  40. Codemo M, Muschiol S, Iovino F, Nannapaneni P, Plant L, Wai SN, et al. Immunomodulatory effects of pneumococcal extracellular vesicles on cellular and humoral host defenses. mBio. 2018;9(2):e00559-18.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Olaya-Abril A, Prados-Rosales R, McConnell MJ, Martín-Peña R, González-Reyes JA, Jiménez-Munguía I, et al. Characterization of protective extracellular membrane-derived vesicles produced by Streptococcus pneumoniae. J Proteomics. 2014;106:46–60.

    Article  CAS  PubMed  Google Scholar 

  42. Yerneni SS, Werner S, Azambuja JH, Ludwig N, Eutsey R, Aggarwal SD, et al. Pneumococcal extracellular vesicles modulate host immunity. mBio. 2021;12(4):e0165721.

    Article  PubMed  Google Scholar 

  43. Olaya-Abril A, Prados-Rosales R, González-Reyes JA, Casadevall A, Pirofski LA, Rodríguez-Ortega MJ. Extracellular vesicles from different pneumococcal serotypes are internalized by macrophages and induce host immune responses. Pathogens. 2021;10(12):1530.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Rivera J, Cordero RJB, Nakouzi AS, Frases S, Nicola A, Casadevall A. Bacillus anthracis produces membrane-derived vesicles containing biologically active toxins. Proc Natl Acad Sci. 2010;107(44):19002–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Jensen GB, Hansen BM, Eilenberg J, Mahillon J. The hidden lifestyles of Bacillus cereus and relatives. Environ Microbiol. 2003;5(8):631–40.

    Article  CAS  PubMed  Google Scholar 

  46. Ahyayauch H, Requero MA, Alonso A, Bennouna M, Goñi FM. Surfactant effects of chlorpromazine and imipramine on lipid bilayers containing sphingomyelin and cholesterol. J Colloid Interface Sci. 2002;256(2):284–9.

    Article  CAS  PubMed  Google Scholar 

  47. Tartaglia NR, Breyne K, Meyer E, Cauty C, Jardin J, Chrétien D, et al. Staphylococcus aureus extracellular vesicles elicit an immunostimulatory response in vivo on the murine mammary gland. Front Cell Infect Microbiol. 2018;22:8.

    Google Scholar 

  48. Gurung M, Moon DC, Choi CW, Lee JH, Bae YC, Kim J, et al. Staphylococcus aureus produces membrane-derived vesicles that induce host cell death. PLoS ONE. 2011;6(11):e27958.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Brown L, Kessler A, Cabezas-Sanchez P, Luque-Garcia JL, Casadevall A. Extracellular vesicles produced by the Gram-positive bacterium Bacillus subtilis are disrupted by the lipopeptide surfactin. Mol Microbiol. 2014;93(1):183–98.

  50. Wagner T, Joshi B, Janice J, Askarian F, Škalko-Basnet N, Hagestad OC, et al. Enterococcus faecium produces membrane vesicles containing virulence factors and antimicrobial resistance related proteins. J Proteomics. 2018;15(187):28–38.

    Article  Google Scholar 

  51. Uppu DS, Wang X, Lee JC. Contribution of extracellular membrane vesicles to the secretome of Staphylococcus aureus. mBio. 2023;14(1):e0357122.

    Article  PubMed  Google Scholar 

  52. Beecher DJ, Olsen TW, Somers EB, Wong ACL. Evidence for Contribution of Tripartite Hemolysin BL, Phosphatidylcholine-Preferring Phospholipase C, and Collagenase to Virulence of Bacillus cereus Endophthalmitis. Infect Immun. 2000;68(9):5269–76.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Oda M, Hashimoto M, Takahashi M, Ohmae Y, Seike S, Kato R, et al. Role of sphingomyelinase in infectious diseases caused by Bacillus cereus. PLoS ONE. 2012;7(6):e38054.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Typas A, Banzhaf M, Gross CA, Vollmer W. From the regulation of peptidoglycan synthesis to bacterial growth and morphology. Nat Rev Microbiol. 2012;10(2):123–36.

    Article  CAS  Google Scholar 

  55. Alhayek A, Khan ES, Schönauer E, Däinghaus T, Shafiei R, Voos K, et al. Inhibition of Collagenase Q1 of Bacillus cereus as a Novel Antivirulence Strategy for the Treatment of Skin-Wound Infections. Adv Ther (Weinh). 2022;5(3):2100222.

    Article  CAS  PubMed  Google Scholar 

  56. Surve MV, Anil A, Kamath KG, Bhutda S, Sthanam LK, Pradhan A, et al. Membrane vesicles of Group B Streptococcus disrupt feto-maternal barrier leading to preterm birth. PLoS Pathog. 2016;12(9):e1005816.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Gohar M, Faegri K, Perchat S, Ravnum S, Økstad OA, Gominet M, et al. The PlcR Virulence Regulon of Bacillus cereus. PLoS ONE. 2008;3(7):e2793.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Fagerlund A, Lindbäck T, Granum PE. Bacillus cereus cytotoxins Hbl, Nhe and CytK are secreted via the Sec translocation pathway. BMC Microbiol. 2010;10(1):304.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Ganash M, Phung D, Sedelnikova SE, Lindbäck T, Granum PE, Artymiuk PJ. Structure of the NheA Component of the Nhe Toxin from Bacillus cereus: Implications for Function. PLoS ONE. 2013;8(9):e74748.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. O’Donoghue EJ, Krachler AM. Mechanisms of outer membrane vesicle entry into host cells. Cell Microbiol. 2016;18(11):1508–17.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Rubio APD, Martínez J, Palavecino M, Fuentes F, López CMS, Marcilla A, et al. Transcytosis of Bacillus subtilis extracellular vesicles through an in vitro intestinal epithelial cell model. Sci Rep. 2020;10(1):3120.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Wang X, Eagen WJ, Lee JC. Orchestration of human macrophage NLRP3 inflammasome activation by Staphylococcus aureus extracellular vesicles. Proc Natl Acad Sci. 2020;117(6):3174–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Fox D, Mathur A, Xue Y, Liu Y, Tan WH, Feng S, et al. Bacillus cereus non-haemolytic enterotoxin activates the NLRP3 inflammasome. Nat Commun. 2020;11(1):760.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Mathur A, Feng S, Hayward JA, Ngo C, Fox D, Atmosukarto II, et al. A multicomponent toxin from Bacillus cereus incites inflammation and shapes host outcome via the NLRP3 inflammasome. Nat Microbiol. 2019;4(2):362–74.

    Article  CAS  PubMed  Google Scholar 

  65. Jeon H, Oh MH, Jun SH, Kim S Il, Choi CW, Kwon H Il, et al. Variation among Staphylococcus aureus membrane vesicle proteomes affects cytotoxicity of host cells. Microb Pathog. 2016;93:185–93.

    Article  CAS  PubMed  Google Scholar 

  66. Jessberger N, Krey VM, Rademacher C, Böhm ME, Mohr AK, Ehling-Schulz M, et al. From genome to toxicity: a combinatory approach highlights the complexity of enterotoxin production in Bacillus cereus. Front Microbiol. 2015;10:6.

    Google Scholar 

  67. Jeßberger N, Dietrich R, Bock S, Didier A, Märtlbauer E. Bacillus cereus enterotoxins act as major virulence factors and exhibit distinct cytotoxicity to different human cell lines. Toxicon. 2014;77:49–57.

    Article  PubMed  Google Scholar 

  68. Fagerlund A, Lindbäck T, Storset AK, Granum PE, Hardy SP. Bacillus cereus Nhe is a pore-forming toxin with structural and functional properties similar to the ClyA (HlyE, SheA) family of haemolysins, able to induce osmotic lysis in epithelia. Microbiology (N Y). 2008;154(3):693–704.

    CAS  Google Scholar 

  69. Mehanny M, Koch M, Lehr CM, Fuhrmann G. Streptococcal extracellular membrane vesicles are rapidly internalized by immune cells and alter their cytokine release. Front Immunol. 2020;14:11.

    Google Scholar 

  70. Théry C, Witwer KW, Aikawa E, Alcaraz MJ, Anderson JD, Andriantsitohaina R, et al. Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines. J Extracell Vesicles. 2018;7(1):1535750.

    Article  PubMed  PubMed Central  Google Scholar 

  71. Hong J, Dauros-Singorenko P, Whitcombe A, Payne L, Blenkiron C, Phillips A, et al. Analysis of the Escherichia coli extracellular vesicle proteome identifies markers of purity and culture conditions. J Extracell Vesicles. 2019;8(1):1632099.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  72. Dauros Singorenko P, Chang V, Whitcombe A, Simonov D, Hong J, Phillips A, et al. Isolation of membrane vesicles from prokaryotes: a technical and biological comparison reveals heterogeneity. J Extracell Vesicles. 2017;6(1):1324731.

    Article  PubMed  PubMed Central  Google Scholar 

  73. Mehdiani A, Maier A, Pinto A, Barth M, Akhyari P, Lichtenberg A. An innovative method for exosome quantification and size measurement. J Vis Exp. 2015;(95)50974.

  74. Bachurski D, Schuldner M, Nguyen PH, Malz A, Reiners KS, Grenzi PC, et al. Extracellular vesicle measurements with nanoparticle tracking analysis – an accuracy and repeatability comparison between NanoSight NS300 and ZetaView. J Extracell Vesicles. 2019;8(1):1596016.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Mihály J, Deák R, Szigyártó IC, Bóta A, Beke-Somfai T, Varga Z. Characterization of extracellular vesicles by IR spectroscopy: fast and simple classification based on amide and CH stretching vibrations. Biochim Biophys Acta Biomembr. 2017;1859(3):459–66.

    Article  PubMed  Google Scholar 

  76. Budik S, Tschulenk W, Kummer S, Walter I, Aurich C. Evaluation of SmartFlare probe applicability for verification of RNAs in early equine conceptuses, equine dermal fibroblast cells and trophoblastic vesicles. Reprod Fertil Dev. 2017;29(11):2157.

    Article  CAS  PubMed  Google Scholar 

  77. Schlatterer K, Beck C, Hanzelmann D, Lebtig M, Fehrenbacher B, Schaller M, et al. The mechanism behind bacterial lipoprotein release: phenol-soluble modulins mediate toll-like receptor 2 activation via extracellular vesicle release from Staphylococcus aureus. mBio. 2018;9(6):e01851-18.

    Article  PubMed  PubMed Central  Google Scholar 

  78. Wiśniewski JR. Quantitative Evaluation of Filter Aided Sample Preparation (FASP) and Multienzyme Digestion FASP Protocols. Anal Chem. 2016;88(10):5438–43.

    Article  PubMed  Google Scholar 

  79. Wiśniewski JR, Zougman A, Nagaraj N, Mann M. Universal sample preparation method for proteome analysis. Nat Methods. 2009;6(5):359–62.

    Article  PubMed  Google Scholar 

  80. Almagro Armenteros JJ, Tsirigos KD, Sønderby CK, Petersen TN, Winther O, Brunak S, et al. SignalP 5.0 improves signal peptide predictions using deep neural networks. Nat Biotechnol. 2019;37(4):420–3.

    Article  CAS  PubMed  Google Scholar 

  81. Dietrich R, Moravek M, Bürk C, Granum PE, Märtlbauer E. Production and characterization of antibodies against each of the three subunits of the Bacillus cereus nonhemolytic enterotoxin complex. Appl Environ Microbiol. 2005;71(12):8214–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  82. Bomberger JM, MacEachran DP, Coutermarsh BA, Ye S, O’Toole GA, Stanton BA. Long-Distance Delivery of Bacterial Virulence Factors by Pseudomonas aeruginosa Outer Membrane Vesicles. PLoS Pathog. 2009;5(4):e1000382.

    Article  PubMed  PubMed Central  Google Scholar 

  83. Kim Y, Edwards N, Fenselau C. Extracellular vesicle proteomes reflect developmental phases of Bacillus subtilis. Clin Proteomics. 2016;13(1):6.

    Article  PubMed  PubMed Central  Google Scholar 

  84. Buchacher T, Wiesinger-Mayr H, Vierlinger K, Rüger BM, Stanek G, Fischer MB, et al. Human blood monocytes support persistence, but not replication of the intracellular pathogen C. pneumoniae. BMC Immunol. 2014;15(1):60.

    Article  PubMed  PubMed Central  Google Scholar 

  85. Perez-Riverol Y, Bai J, Bandla C, García-Seisdedos D, Hewapathirana S, Kamatchinathan S, et al. The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences. Nucleic Acids Res. 2022;50(D1):D543–52.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

We thank Richard Dietrich (Department of Veterinary Sciences, Faculty of Veterinary Medicine, Ludwig-Maximilians-University, Munich, Germany) for the generous gift of the antibodies. The excellent technical support by Tatjana Svoboda (Institute of Microbiology, University of Veterinary Medicine, Vienna, Austria) as well as the valuable support of Waldtraud Tschulenk und Ingrid Walter (Institute of Morphology, University of Veterinary Medicine) with TEM is gratefully acknowledged. Likewise, the authors are thankful to Endre Kiss (Core Facility Multimodal Imaging, Faculty of Chemistry, University of Vienna) for skillful technical assistance with confocal and SIM imaging. This research was supported using resources of the VetCore Facility (Proteomics, ELMI) of the University of Veterinary Medicine, Vienna. This work was supported by the Core Facility Multimodal Imaging, University of Vienna, Faculty of Chemistry member of the VLSI.

Funding

Open Access funding for this article was provided by the University of Veterinary Medicine Vienna (Vetmeduni Vienna). The work of TB and MK was supported by the grant IGF Project 18677 N. The IGF Project 18677 N of the FEI was supported via AiF within the program for promoting the Industrial Collective Research (IGF) of the German Ministry of Economic Affairs and Energy. The work of AD was supported by the Vienna Anniversary Foundation for Higher Education (H-409332/2021).

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Authors and Affiliations

  1. Functional Microbiology, Institute of Microbiology, Department of Pathobiology, University of Veterinary Medicine, Vienna, Austria

    Tanja Buchacher, Astrid Digruber, Markus Kranzler & Monika Ehling-Schulz

  2. Department of Food Chemistry and Toxicology, Faculty of Chemistry, University of Vienna, Vienna, Austria

    Giorgia Del Favero

  3. Core Facility Multimodal Imaging, Faculty of Chemistry, University of Vienna, Vienna, Austria

    Giorgia Del Favero

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  1. Tanja Buchacher
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  2. Astrid Digruber
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  3. Markus Kranzler
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  5. Monika Ehling-Schulz
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Contributions

TB, MES conceived and designed the study; TB, AD, MK, GF performed the experiments and analyzed the data; AD drafted parts of the manuscript; TB and MES wrote the manuscript. All authors reviewed and approved the manuscript.

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Correspondence to Monika Ehling-Schulz.

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Studies with human blood were approved by the ethics committee of the Medical University Vienna (ECS2177/2013) and written informed consent was obtained from all healthy donors.

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Buchacher, T., Digruber, A., Kranzler, M. et al. Bacillus cereus extracellular vesicles act as shuttles for biologically active multicomponent enterotoxins. Cell Commun Signal 21, 112 (2023). https://doi.org/10.1186/s12964-023-01132-1

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Keywords

Cell Communication and Signaling

ISSN: 1478-811X