Introduction

Inflammatory bowel disease (IBD) including Crohn’s diseases (CD) and ulcerative colitis (UC) are chronic diseases of gastrointestinal (GI) tract.1 Although the pathology between CD and UC differs, they share a number of common characteristics and co-morbidities, the chief of which is arguably the loss of epithelial barrier function.2 This loss of epithelial integrity promotes bacteraemia in IBD patients3,4,5 and these pathologies are apparent in animal models of colitis.6,7 In IBD patients, bacteraemia can promote extra-intestinal inflammation and approximately half of IBD patients have secondary organ pathologies that contribute significantly to disease morbidity.8 An increasing number of studies suggest that abnormal lung pathology is a common feature of IBD,9,10 with subclinical disease observed in over one third of IBD patients.11 While some therapies can promote lung damage,12 in the majority of cases pulmonary disease associated with IBD is idiopathic, and animal studies have demonstrated that lung pathologies similar to those observed in IBD patients are evident in animal models of colitis.7,13,14 Our recent studies suggest that pulmonary manifestations of colitis arise from neutrophilia associated with loss of intestinal epithelial integrity and subsequent bacteraemia.7 An increased bacterial load in the lungs may be the initiating factor for the observed pulmonary neutrophilia, although the pathway initiating this response is unclear.

In respiratory diseases, such as chronic obstructive pulmonary disease (COPD) and asthma, the majority of acute exacerbations are driven by bacterial and viral infection,15 with pathogens often exploiting cellular receptors and adhesion molecules upregulated during inflammatory processes.16 One such receptor, platelet-activating factor (PAFR) is a G protein-coupled receptor expressed on epithelial and endothelial cells, macrophages and neutrophils.17 PAFR is a hypoxia-responsive gene18 and PAFR protein levels are increased in inflamed lungs from patients with asthma19 and COPD.20 PAFR has affinity for bacterial phosphorylcholine (ChoP) moieties21 and increased expression of PAFR is associated with both Gram-negative and Gram-positive infection.22 Thus, in conditions of increased pulmonary stress of infection, PAFR may represent a crucial mediator of inflammation and inhibition or antagonism of PAFR has been considered as a therapeutic strategy for the management of pulmonary disease.23,24

In the pulmonary inflammation associated with colitis, bacteraemia is an initiating factor and pulmonary inflammation is dependent on neutrophil recruitment from the bone marrow.7 While these animals exhibit increased bacterial load in the lungs, the mechanism initiating neutrophil recruitment to the lung is unclear. Here, we hypothesized that increased bacterial burden in the lung, driven by colitis-associated bacteremia, activates anti-microbial responses that drive neutrophil recruitment. Using dextran sulfate sodium (DSS) and anti-CD40 models of colitis, we identified increases in PAFR in pulmonary epithelial cells and neutrophils associated with increased bacterial load and NLRP3 inflammasome activation in the lungs. Antagonism of PAFR reduced neutrophil but not macrophage recruitment to the lung and reduced neutrophil extracellular traps (NETs) formation in the parenchyma. In vitro studies with pulmonary epithelial cells demonstrated NLRP3 activation, cleavage of caspase-1 and IL-1β secretion in response ChoP-positive, but not ChoP negative lipopolysaccharide (LPS). However, this inflammasome activation was inhibited by PAFR antagonism. Further, PAFR induction and inflammasome activation in the lungs of DSS colitis animals was inhibited by antibiotic treatment. These data implicate PAFR-microbe interactions as a key modulator of pulmonary inflammation in colitis and bacteremia, and suggest that PAFR is a microbial sensor regulating local inflammasome responses.

Results

Experimental models of colitis induce lung inflammation

To explore colitis associated with lung inflammation, we employed an acute model of DSS-induced colitis as described previously.7,13 Colitis features were determined by measuring body weight and by endoscopy. DSS challenge resulted in significant weight loss by day 4 and further decrease over days 5–7 (Fig. 1a). Endoscopic assessment showed increasing mucosal inflammation and ulceration over time (Fig. 1b). DSS challenge increased total leukocytes, predominately macrophages and neutrophils, in bronchoalveolar lavage fluid (BALF) from mouse lungs (Fig. 1c). Histological analysis demonstrated that inflammatory cells were predominantly localized around the parenchyma and blood vessels in mouse lungs after 7 days of DSS challenge (Fig. 1d, e).

Fig. 1
figure 1

Experimental models of colitis induces lung inflammation in mice. Mice received DSS in drinking water over 7 days. Control mice received plain water. Mouse body weight (a) and colonic endoscopy (b, arrows indicate lesions) were assessed during time-course of DSS challenge. c Total leukocytes and cell differential counts, including macrophages and neutrophils were enumerated in bronchoalveolar fluid (BALF). d Mouse lungs were collected, and lung sections were stained with H&E, arrows indicate inflammation. e Mouse lung inflammation scores were assessed after 7 days DSS challenge. Mice were injected with monoclonal anti-CD40 antibody for 9 days. Control mice received IgG antibody. Mouse body weight (f) and colonic endoscopy (g, arrows indicate lesions) were assessed during time-course of anti-CD40 antibody challenge. h Total leukocytes and cell differential counts, including macrophages and neutrophils were enumerated in BALF. i Mouse sections were stained with H&E, arrows indicate inflammation. j Mouse lung inflammation scores were assessed after 9 days anti-CD40 antibody challenge. n = 6–8, mean ± SEM. Statistical analysis was assessed by two-way ANOVA (a, f) and Student’s t-test (c, e, h, j), *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001 compared to control mice

We next examined whether innate or adaptive responses were key to neutrophil recruitment to the lungs. To this end, we employed the anti-CD40 model to induce colitis in recombinase activating gene 1 (RAG1) deficiency (–/–) mice as they lack mature T and B cells.25 Significant weight loss was observed in the anti-CD40-treated animals, peaking 3 days after disease induction (Fig. 1f). Endoscopic disease was observed within 2 days of induction and progressed over the course of the model (Fig. 1g). The anti-CD40 challenge also increased macrophages and neutrophil numbers in BALF and induced lung inflammation (Fig. 1h–j) which were not observed in control mice that received isotype IgG control antibody.

Colitis increases PAFR proteins and activates NLRP3 involved inflammasome in mouse lungs

Our previous studies suggested microbial involvement in colitis-induced lung inflammation.7 In this study, we confirmed that DSS-induced colitis resulted in an increase of bacterial 16S expression in mouse lungs compared to controls (Fig. 2a). Given the importance of PAFR in pulmonary infection during inflammatory disease, we measured PAFR proteins in mouse lungs in our model of DSS-induced lung inflammation and found significantly increased PAFR protein levels on day 7 post DSS (Fig. 2b). These data were mirrored in the anti-CD40 model with 16S expression and PAFR protein significantly increased in mouse lungs by 9 days post challenge (Fig. 2c, d), indicating these are common features in colitis-induced lung inflammation.

Fig. 2
figure 2

PAFR expression and cellular sources of PAFR in mouse lungs. a Bacterial 16S expression was measured in mouse lungs by qPCR after 7 days DSS challenge. b PAFR protein in mouse lungs was measured after 7 days DSS challenge by immunoblot (left), and fold change of densitometry of PAFR normalized to vinculin (right). c Bacterial 16S expression was measured in mouse lungs by qPCR after 9 days anti-CD40 antibody challenge. d PAFR protein in mouse colons was measured after 9 days anti-CD40 antibody challenge by immunoblot (left), and fold change of densitometry of PAFR normalized to vinculin (right). e Lung sections from DSS or control animals were stained with PAFR (red) and ly6G (blue) by immunofluorescence. Auto-fluorescence in FITC shows cell morphology; scale bar: 200 μm. Single cells were obtained from mouse lungs, and CD45Epcam+PAFR+ (epithelial cells, f), CD45+F4/80+PAFR+ (macrophages, g) and CD45+CD11b+Ly6G+PAFR+ cells (neutrophils, h) were enumerated by flow cytometry. n = 6–8, mean ± SEM. Statistical analysis was assessed by Student’s t-test. *P < 0.05, **P < 0.01 compared to control mice

To understand the role of PAFR in colitis-induced lung inflammation, we investigated cellular sources of PAFR in lungs. Given the consistent increase in pulmonary neutrophils observed in colitis models,7 lung sections were stained with PAFR and Ly6G by immunofluorescence. Increased PAFR staining was observed in the parenchymal area, and alveolar epithelial cells (according to morphology) and neutrophils were the predominant cell types to produce PAFR in mouse lungs (Fig. 2e). To confirm the cellular source of PAFR, we isolated single cell suspensions from mouse lungs and co-stained cell phenotyping markers and PAFR to identify and enumerate by flow cytometry. PAFR+ epithelial cells (CD45Epcam+, Fig. 2f and Supplementary Fig. S1a), macrophages (CD45+F4/80+, Fig. 2g and Supplementary Fig. S1b) and neutrophils (CD45+CD11b+Ly6G+, Fig. 2h and Supplementary Fig. S1c) were significantly increased in mouse lungs after 7 days DSS challenge. There were no changes to PAFR+ dendritic cell (CD45+CD11c+) or eosinophil (CD45+CD11cSigF+) populations (Supplementary Fig. S2) in mouse lungs after 7 days DSS challenge when compared to controls.

In line with previous results,7 cytokine analysis showed significantly increased levels of TNF and IL-1β proteins in mouse lungs after DSS challenge (Fig. 3a, b). Given that IL-1β is downstream of inflammasome activation, we measured protein levels of molecules involved in inflammsome response in mouse lungs. DSS challenge led to significant increases in NLRP3 and mature caspase-1 proteins in mouse lungs when compared to healthy controls, however pro-caspase-1 proteins were not changed (Fig. 3c, d). To confirm that PAFR enhances IL-1β secretion by lung epithelial cells via inflammasome activation, we isolated PAFR+ epithelial cells from mouse lungs after 7 days DSS challenge and controls. The protein levels of the molecules involved in NLRP3 signaling pathways were measured in cell lysates. There were significantly increased NLRP3, pro- and mature caspase-1 protein levels in epithelial cells from mouse lungs after 7 days DSS challenge compared to controls (Fig. 3e, f). Lung epithelial cells from DSS animals also had increased IL-1β compared to healthy controls (Fig. 3g).

Fig. 3
figure 3

DSS-induced inflammation and activated inflammasomes in alveolar epithelial cells and mouse whole lungs. Protein levels of TNF (a) and IL-1β (b) proteins in mouse lungs were measured by ELISA. c NLRP3, pro-caspase-1, mature caspase-1, and β-actin proteins were measured in mouse colon after DSS challenge by immunoblot. d Fold change of the proteins normalized to β-actin. CD45Epcam+PAFR+ were isolated from the lungs of DSS and control animals and sorted by flow cytometry. e NLRP3, pro-caspase-1, mature caspase-1, and β-actin proteins were measured in cell lysates by immunoblot. f Fold change of the proteins normalized to β-actin. g IL-1β protein in mouse epithelial cells was measured by ELISA. n = 6–8, mean ± SEM. Statistical analysis was assessed by Student’s t-test. *P < 0.05, **P < 0.01, ***P < 0.001 compared to control mice

Inhibition of PAFR reduces mouse lung inflammation after DSS challenge

To further investigate the role of PAFR in colitis-induced lung inflammation, we administered the PAFR antagonist, CV620926 to mice, either intranasally or intravenously from day 4 to 6 of DSS challenge. We chose these time-points based on onset of disease as measured by weight loss during DSS challenge. On day 7, DSS challenge increased total leukocytes, predominately macrophages and neutrophils, in the BALF, compared to control animals (Fig. 4a–c). CV6209 treatments with both intranasal and intravenous deliveries significantly reduced airway neutrophils, but not macrophages (P = 0.1302, DSS + CV6209 i.n vs DSS + PBS i.n; P = 0.0528, DSS + CV6209 i.v vs DSS + PBS i.v) in the DSS model. Overall, increases in inflammatory cells in mouse lungs due to colitis were reduced with CV6209 treatment by both delivery approaches (Fig. 4d, e). Inhibition of PAFR by intravenous delivery of CV6209 also reduced DSS-induced TNF (Fig. 4f), IL-1β (Fig. 4g), and IL-6 protein (Fig. 4h) in mouse lungs compared to controls. With intranasal delivery of CV6209, only IL-1β was significantly reduced suggesting the lung is not the primary source of TNF and IL-6 in these models.

Fig. 4
figure 4

Influence of PAFR antagonism on colitis-induced lung inflammation in mice. Mice were treated with CV6209 intranasally (i.n) or intravenously (i.v) on day 4, 5, and 6 of DSS model and control mice received i.n. or i.v. PBS. Bronchoalveolar lavage fluid (BALF) was collected, and total leukocytes (a), macrophages (b), and neutrophils (c) were enumerated after cytospin. d Mouse lungs were collected, and lung sections were stained with H&E. Scale bar: 200 μm. Arrows indicate inflammation. e Lung inflammatory scores were assessed after 7 days DSS challenge with CV6209 treatments. The levels of TNF (f), IL-1β (g), and IL-6 (h) proteins in mouse lungs were measured by ELISA. n = 6, mean ± SEM. Statistical analysis was assessed by one-way ANOVA *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001 compared to control mice. #P < 0.05, ##P < 0.01, ####P < 0.0001 compared to mice receiving DSS and treated with PBS (i.n). $P < 0.05, $$$P < 0.001, $$$$P < 0.0001 compared to mice receiving DSS and treated with PBS (i.v)

PAFR regulates neutrophil recruitment in mouse lungs after DSS challenge

Given that antagonism of PAFR reduced neutrophils in BALF of DSS animals, we next examined lung tissue neutrophils and macrophages using flow cytometry. DSS challenge significantly increased neutrophils and macrophages in mouse lungs by 7 days post challenge (Fig. 5a–c and Supplementary Fig. S3). Antagonism of PAFR by CV6209 with both intranasal and intravenous approaches reduced neutrophils, but not macrophages in mouse lungs, mirroring our finding of these cells in BALF.

Fig. 5
figure 5

Influence of PAFR antagonism on neutrophil responses in mouse lungs after DSS challenge. Mice were treated with CV6209 intranasally (i.n) or intravenously (i.v) on day 4, 5, and 6 of DSS model and control mice received i.n. or i.v. PBS. Single cell suspensions were obtained from mouse lungs, and stained with CD45, CD11b, F4/80 and Ly6G (a), and CD45+CD11b+Ly6G+F4/80 cells (b) and CD45+F4/80+ cells (c) were enumerated by flow cytometry. d Mouse lung sections were stained with myeloperoxidase (MPO, red), histone H1 (green) and DAPI (blue) by immunofluorescence. Scale bar: 200 μm. The indicated regions are shown the expanded at bottom line. Arrows indicate NETs. Scale bar: 20 μm. e MPO+ and histone H1+ cells were enumerated on mouse lung sections. n = 6, Results are mean ± SEM. Statistical analysis was assessed by one-way ANOVA *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001 compared to control mice. #P < 0.05, ##P < 0.01 compared to mice receiving DSS and treated with PBS (i.n). $P < 0.05 compared to mice receiving DSS and treated with PBS (i.v)

NETs play a critical role in neutrophil antimicrobial activity,27 and we next assessed whether antagonism of PAFR influenced NETs in lung tissue. The lung sections were assessed by immunofluorescence for expression of NET markers, myeloperoxidase (MPO), a peroxidase enzyme that is released by neutrophils,27 and histone H128 (Fig. 5d). DSS challenge increased the number of MPO and histone H1 positive cells in mouse lungs, however antagonism of PAFR significantly decreased these cells (Fig. 5e).

PAFR activates the NLRP3 inflammasome signaling pathway

We have shown that antagonism of PAFR reduced IL-1β protein levels in mouse lungs after DSS challenge. Given that we observed inflammasome activation in the lungs of DSS-induced colitis animals, we next examined whether PAFR antagonism reduced inflammasome signaling in mouse lungs after DSS challenge and found that intranasal administration of CV6209 reduced both NLRP3 and mature caspase-1 proteins in mouse lungs (Fig. 6a, b).

Fig. 6
figure 6

Activation of NLRP3 inflammasome signaling though PAFR. Mice were treated with CV6209 intranasally (i.n) on day 4, 5, and 6 of DSS model and control mice received i.n. or i.v. PBS. a NLRP3, caspase-1, and β-actin proteins in whole lungs were assessed by immunoblot, and b fold change of these proteins were determined by densitometry normalized to β-actin. For in vitro analyses, human alveolar epithelial cells were treated with CV6209 or vehicle and stimulated with phosphorylcholine (ChoP) positive or negative LPS for 4 h. c PAFR proteins in the cell lysates were assessed by immunoblot, and densitometry was normalized to β-actin. d NLRP3, caspase-1, and β-actin proteins in the cell lysates were assessed by immunoblot, and e fold change of these proteins was determined by densitometry normalized to β-actin. f IL-1β proteins were assessed in cell supernatant by ELISA. n = 5–6. Results are mean ± SEM. Statistical analysis was assessed by one-way ANOVA *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001 as compared to control mice or cell treated with media. #P < 0.05, #P < 0.01 compared to mice received DSS and treated with PBS (i.n). $P < 0.05 compared to cells received LPS from ChoP positive bacteria

Because alveolar epithelial cells were a source of PAFR in the lung tissue of DSS animals and microbial ChoP is a ligand for PAFR,21 we examined whether ChoP was sufficient to drive PAFR expression. Human alveolar epithelial cells (A549) were challenged by LPS isolated either from ChoP positive and ChoP negative bacteria, and PAFR proteins were measured in cell lysate by immunoblot. LPS stimulation from ChoP positive bacteria significantly increased PAFR proteins in epithelial cells, whereas PAFR protein levels did not change after LPS challenge from ChoP negative bacteria (Fig. 6c). We next investigated whether PAFR interaction with ChoP directly regulated NLRP3 inflammasome activation in A549 cells. Challenge with ChoP-positive LPS significantly increased NLRP3, pro-caspase and mature caspase protein expression, however treatment with CV6209 1 h prior to ChoP challenge, significantly reduced ChoP-driven expression of all 3 proteins (Fig. 6d, e). LPS from ChoP negative bacteria did not increase NLRP3 inflammasome protein levels. Antagonism of PAFR also significantly reduced secreted IL-1β proteins in cell supernatant after challenge with ChoP positive LPS (Fig. 6f).

Antibiotic treatment reduces ChoP positive bacteria in lungs and regulates NLRP3 involved inflammasome in colitis-induced lung inflammation

Given the evidence that ChoP-PAFR interactions activated the NLRP3-mediated inflammasome in the lungs of DSS-treated animals, we investigated whether reducing microbial load in the lungs through antibiotic treatment would affect inflammasome activation during colitis. To this end, we treated mice with amoxicillin, either intranasally or intragastrically, during DSS challenge. Intranasal amoxicillin treatment did not influence DSS disease course as measured by body weight, however DSS animals receiving intragastric delivery of amoxicillin had significantly higher weight loss compared to DSS animals receiving vehicle (Supplementary Fig. S4a, b). Both intranasal and intragastric deliveries of amoxicillin led to significantly decreased total bacterial 16S expression in mouse lungs following DSS challenge, and 16S expression for ChoP positive bacteria, such as Klebsillia. pneumoniae and Pseudomonas. aeruginosa was also reduced in mouse lungs (Fig. 7a, b).

Fig. 7
figure 7

Influence of antibiotics on bacteria load and the PAFR-NLRP3 inflammasome axis in the lungs of DSS mice. Mice received amoxicillin/clavulanic acid (5 mg/kg) either intranasally (i.n) or intragastrically (i.g) over the course of DSS challenge. a Total bacteria 16S, K. pneumoniae and P. aeruginosa expression in mouse lungs after i.n antibiotics. b Total bacteria 16S, K. pneumoniae and P. aeruginosa expression in mouse lungs after i.g antibiotics. c PAFR, NLRP3, caspase-1 and β-actin proteins in mouse lungs after i.n. antibiotics treatment were assessed by immunoblot (top), and fold change of these proteins were determined by densitometry normalized to β-actin (bottom). d PAFR, NLRP3, caspase-1, and β-actin proteins in mouse lungs after i.g. antibiotics treatment were assessed by immunoblot (top), and fold change of these proteins were determined by densitometry normalized to β-actin (bottom). n = 6, mean ± SEM. Statistical analysis was assessed by one-way ANOVA. *P < 0.05, **P < 0.01, ****P < 0.0001 compared to control mice. #P < 0.05, ####P < 0.0001compared to mice received DSS and treated with antibiotics (i.g). $P < 0.05, $$$P < 0.001 compared to mice received DSS and treated with antibiotics (i.n)

To investigate whether this reduced bacterial load influenced PAFR expression in colitis-induced lung inflammation, we measured PAFR and NLRP3-involved inflammasome proteins in mouse lungs after DSS challenge with and without amoxicillin treatment. Interestingly, intranasal antibiotic treatment did not change DSS-induced PAFR proteins levels in mouse lungs (Fig. 7c), however, NLRP3 and mature caspase-1 proteins were decreased in these animals when compared to DSS challenge with intranasal PBS treatment. Pro-caspase-1 proteins were not altered after DSS challenge. Similarly, intragastric amoxicillin treatment had no effect on the levels of PAFR in mouse lungs (Fig. 7d) but led to significantly decreased NLRP3 and mature caspase-1 proteins.

Histological scoring of lung inflammation in DSS animals with and without amoxicillin treatment showed that antibiotics reduced inflammation and neutrophil recruitment in mouse lungs (Supplementary Fig. S4c–d). Both intranasal and intragastric amoxicillin treatment decreased DSS-induced TNF, IL-1β, and IL-6 protein in mouse lungs (Supplementary Fig. S5). These data suggest that bacterial burden does not regulate PAFR expression in itself, but is required for downstream PAFR inflammasome activation.

Discussion

Secondary organ pathologies are common in IBD and there is increasing interest in the mucosal cross-talk between the gut and lung in inflammatory diseases.7,9 Our previous work has demonstrated that systemic inflammation is a driving factor in lung inflammation common to animal models of colitis.22 In this study, we identify expression of PAFR and PAFR-mediated inflammasome activation as regulators of neutrophil recruitment to the lung when microbial-burden is increased. In two distinct models of colitis, increased lung PAFR expression was associated with increased airway inflammation, neutrophils in the BALF and increased bacterial burden in the lungs. PAFR expression was localized to epithelial cells and neutrophils and associated with NET-formation in the lung tissue of DSS colitis animals. Immunoblot analysis identified increased NLRP3 inflammasome activation in DSS animals leading to IL-1β secretion in lung tissues and these responses were inhibited by antagonism of PAFR. Mechanistic studies indicated that PAFR mediates NLRP3 activation and caspase-1 cleavage in response to interactions between microbial ChoP and PAFR,21 and that reduction of microbial load with antibiotics is sufficient to reduced inflammasome activation in the lungs of DSS animals, but not PAFR expression. These data suggest that PAFR acts as a pattern recognition receptor (PRR) for ChoP and is a mucosal mediator of the NLRP3 inflammasome.

PAFR is a hypoxia-responsive G protein-coupled receptor18 on multiple cell types in lungs, and the increased expression of PAFR has been observed in many inflammatory-driven airway diseases, particularly those with an infectious component.29 PAFR protein is increased in both large and small airway epithelium and alveolar epithelial cells in COPD patients30 and PAFR mRNA levels are increased in asthmatics compared to controls.19 The ChoP moiety of bacterial lipoteichoic acid has a strong binding affinity to PAFR and this finding, coupled with observed co-localization of PAFR with Gram-positive bacteria such as Streptococcus pneumonia in pulmonary disease,31 has led to the suggestion that microbes may exploit PAFR through molecular mimicry15,16 to gain access to the serosa during mucosal inflammation.18 However, ChoP expression is regulated by phase variation in both Gram-negative and Gram-positive bacteria and that upregulation of ChoP confers survival advantages during colonization.22 Thus ChoP may instead be a pathogen-associated molecular pattern recognized by PAFR at the onset of ischemic inflammation to prevent or limit bacterial colonization. Supporting this, ChoP is also recognized by circulating C-reactive protein which leads to activation of the compliment response.32 Here, our data show that NLRP3-mediated inflammasome activation is prevented both in vivo and in vitro by PAFR antagonism. Fillon et al. have previously proposed PAFR as a PRR that recognizes intravascular ChoP-containing cell wall components.33 This suggests that PAFR induced inflammasome responses may occur during colitis-associated bacteraemia and that colonization of the lung is not critical to the response. This may explain why antibiotic treatment prevented lung NLRP3 inflammasome activation but did not reduce PAFR expression, as cell wall components may be sufficient to increase PAFR, but live-bacteria are required to induce an inflammasome response. Additionally, toll-like receptors (TLR), particularly TLR2 and TLR4, may be important in mediating the PAFR inflammasome response. Studies by Knapp et al. have shown the relative importance of TLR2 over TLR4 and PAFR in in regulating inflammatory responses to lipoteichoic acid (LTA) during pulmonary infection.34 In contrast to TLR2, deletion of TLR4 and PAFR only partially protected mice for LTA-induced lung injury. However, TLR2 and TLR4 are basolaterally expressed proteins, while PAFR is apically expressed.18 Therefore, PAFR may act as an apical PRR, or alternatively shuttle ChoP-containing bacterial proteins to TLR2 and TLR4 on the basolateral membrane of the epithelium.

It is unclear how the lung is exposed to ChoP positive bacteria during colitis. One possibility is that the loss of intestinal barrier integrity allows bacteria to translocate to other organs, such as lung via blood vessels. Attempts by these bacteria to colonize the lung may utilize ChoP22 and ChoP-positive opportunistic pathogens such as P. aeruginosa are abundant in the GI tract.35 However, because ChoP may be transiently expressed by bacteria,22 it is difficult to demonstrate this in vivo. Alternatively, the local lung microbiota may sense and respond to the altered epithelial cell metabolism due to inflammation. Some microbial species sense inflammatory hypoxia through increases in adenosine signaling, upregulating virulence factors to facilitate cell adhesion.36 As epithelial PAFR is also hypoxia-regulated,18 PAFR-mediated inflammasome activation may represent an important innate response to counteract opportunistic colonization. In support of this hypothesis, we found alveolar epithelial cells to be a major source of PAFR in mouse lungs after DSS challenge and PAFR+ epithelial cells had increased NLRP3 and IL-1β protein levels.

In our previous studies we have shown that neutrophil-driven lung inflammation is a feature of experimental models of colitis in mice.7 It reflects the findings that neutrophil-mediated lung diseases are the most common type of pulmonary manifestation of IBD.10 Studies in PAFR–/– mice suggest that PAFR is important for the recruitment of neutrophils to the lung in models of infection and experimental asthma.37 In agreement with these findings, we found that antagonism of PAFR significantly reduced pulmonary neutrophils and NETosis in the lung during colitis. Recent studies show that PAF-signaling activates human neutrophils and induces NETs.38 Release of NETs by neutrophils prevents bacterial dissemination, however some studies suggest that rather than killing bacteria, NET-induced tissue damage may actually facilitate bacterial replication.39 This may explain why in pulmonary disease, recognition of ChoP by PAFR is not sufficient to clear the infection, and in the context of IBD, this may explain why these patients have a higher risk of developing pneumonia. This risk is further increased with use of corticosteroids, and in this respect, it is interesting to note that glucocorticoid use increases PAFR expression in the lungs of patients with COPD.40

The activation and release of IL-1β plays a major role in acute inflammatory responses to respiratory infection and promotes clearance of pathogens. However, excessive inflammasome activation and production of IL-1β result in development of several chronic respiratory diseases, including asthma and COPD.41 The exact mechanism of NLRP3 inflammasome activation in lung inflammation has remained poorly understood, our finding of a signaling axis between PAFR-NLRP3 and IL-1β mediated neutrophil recruitment is consistent with observations in pulmonary infection models. For instance, IL-1β–/– mice fail to recruit neutrophils from bone marrow to lungs in a model of bacteria induced lung infection.42,43 With this in mind, therapeutics targeting IL-1 signaling may be of benefit for pulmonary diseases involving PAFR. Our histological analysis in mouse lungs demonstrates that neutrophils are predominantly localize around blood vessel after DSS challenge and that PAFR expression is also localized, but not confined, to lung neutrophils. L-selectin is an important mediator on leukocyte surfaces and is constitutively expressed on the endothelium.44 L-selectin plays a role in neutrophil rolling, however neutrophil migration into inflamed tissue is impaired in L-selectin–/– mice.45 Because increased PAFR levels are associated with decreased L-selectin expression on neutrophil surfaces PAFR may also trap neutrophils within the lung, further exacerbating inflammation.46

Taken together, our data show that PAFR plays critical roles in colitis-induced lung inflammation (Supplementary Fig. S6). Our data is the first to demonstrate that PAFR regulates IL-1β protein activation via the NLRP3 inflammasome signaling pathway. PAFR may act as an inflammasome-activating PRR during colonization of the lung following colitis-induced bacteraemia. Inhibition of PAFR reduced inflammation in mouse lungs after DSS challenge and PAFR may represent a previously unappreciated mediator of secondary lung inflammation in conditions such as IBD and acute lung inflammation.

Methods

Experimental colitis-induced lung inflammation

For the DSS colitis model, WT female C57BL/6 mice (6–8 weeks old) received 4% weight/volume dextran sulfate sodium (DSS; M.Wt. 36,000–50,000; MP Biomedicals, Santa Ana, USA) in drinking water ad libitum for 7 days as previously described.7,47 Age matched controls received normal drinking water. For PAFR antagonism, mice were administered with 2.5 mg/kg CV6209 (a PAFR antagonist, Cayman Chemical, Michigan, USA) in sterile PBS either intranasally48 or intravenously from day 4 to 6 during DSS challenge, while control mice received equal volume of sterile PBS. For antibiotic treatment, mice received amoxicillin/clavulanate potassium (5 mg/kg, Sigma-Aldrich, St. Louis, USA) either intranasally or intragastically from day 0 to day 4 of 7 days DSS challenge, and control mice received equal volume of sterile PBS.

For the anti-CD40 model of colitis, RAG1–/– female mice on C57BL/6 background (6–8 weeks old) were intraperitoneally injected with monoclonal anti-CD40 antibody (200 μg/mouse, FGK45, Bxcell, West Lebanon, USA) for 9 days as previously described.49 Controls received equal amount of IgG antibody (Bxcell, West Lebanon, USA). All mouse experiments were approved by the Animal Ethics Committee of the University of Newcastle.

Murine endoscopy

Mucosal inflammation was assessed by colonoscopy on day 3, 5, and 7 of DSS challenge and on day 2, 4, 6, and 8 of anti-CD40 challenge using the Coloview® small animal gastrointestinal endoscope (Karl Storz Endoscopy, Tuttlingen, Germany).50 Representative images were captured from HD videos.

Bronchoalveolar lavage fluid (BALF)

BALF were collected by washing mouse airways twice with 500 μl PBS, and then incubated with red blood cell lysis buffer (150 mM NH4Cl, 10 mM NaHCO3 and 1.26 mM EDTA) at 4 °C for 5 min. Total cells in airways were counted after centrifugation (187 × g, 4 °C, 10 min), and remaining cells were than cyto-centrifugated (300 × g, 5 min) on microscope slides. The cells were stained with May-Gruwald-Giemsa and identified according to morphological criteria using a light microscope as previously described.48

Lung histological scoring

Mouse tissues were fixed, paraffin-embedded, sectioned (4–6 μm), and stained with hematoxylin and eosin (H&E). Histopathology sections were scored blinded, according to a set of custom-designed criteria as described previously.7

mRNA expression

Mouse lungs were collected, and total RNA were extracted by TRIzol (Invitrogen, Carlsbad, USA) reagent method. RNA (1000 ng) was treated with DNase (Sigma-Aldrich, St. Louis, USA) and reverse-transcribed using iScript according to manufactory’s instrument (Biorad, Hercules, USA). Total bacterial 16S (F:CGTCAGCTCGTGTTGTGAAA; R:GGCAGTCTCCTTGAGTTCC), Klebsillia. pneumoniae (F:CATCTCGATCTGCTGGCCAA; R:GCGCGGATCCAGCGATTGGA), Pseudomonas aeruginosa (F:AGTTGTCGCGGCGCTACTAC; R:GCTCACCTGGATCTGGTCC) and mouse β-actin (F:GGAGAAAATCTGGCACCACA; R:AGAGGCGTACAGGGATAGCA) mRNA expressions were determined using real-time qPCR by a CFX touch real-time PCR detection system (Biorad, Hercules, USA). Relative expressions of target mRNA expressions were determined to the reference β-actin gene.

Protein extraction

Proteins were extracted from mouse tissue homogenates and cell culture lysates using radio immunoprecipitation assay buffer (RIPA; Sigma-Aldrich, St. Louis, USA), supplemented with protease and phosphatase inhibitors (Thermo Fisher Scientific, Waltham, USA). Homogenization was performed using a TissueLyser LT (Qiagen, Hiden, Germany) as previously described.51 Lysed samples were centrifuged (8000 × g, 10 min, 4 °C) and supernatants were collected from centrifuged for assessment by enzyme linked immunoblot and immunosorbent assay (ELISA). Total protein concentrations were measured using Pierce BCA Protein Assay Kit (Thermo Fisher Scientific, Waltham, USA) according to manufacturer’s instructions.

Immunoblot

Total proteins were separated by electrophoresis using Mini-Protean TGX stain free polyacrylamide gels (Bio-Rad, Hercules, USA) and transferred onto polyvinylidene difluoride (PVDF) membranes. The membranes were blocked with 5% BSA (Sigma-Aldrich, St. Louis, USA) for 2 h at room temperature (RT), and then incubated with anti-PAFR (1:1000, sc-8744, Santa Cruz Biotechnology, Santa Cruz, USA), anti-NLRP3 (1:1000, ab4207, Abcam, Cambridge, UK), anti-caspase-1 (1:1000, NBP1-45433, Novus biologicals, Littleton, USA), anti-β-actin (1:10,000, ab8227, Abcam, Cambridge, UK) and anti-vinculin (1:5000, MAB6896, R&D System) at 4 °C overnight. Blots were incubated with anti-goat or anti-rabbit IgG HPR conjugated antibodies (R&D System, Minneapolis, USA). Images of immunoblots were captured with a ChemiDoc MP System (Bio-Rad, Hercules, USA). Densitometry analysis was performed relative to houskeeping proteins β-actin or vinculin, using ImageJ (NIH, Bethesda, USA) as previously described.51

Immunofluorescence

Longitudinal mouse lung sections were deparaffinized and incubated with citrate buffer (10 mM citrate acid, 0.05% tween 20, pH 6) at 100 °C for antigen retrieval (35 min). The slides were then blocked with casein (Thermo Fisher, Waltham, USA) at RT for 1 h, and incubated with anti-PAFR (1:50, Santa Cruz Biotechnology, Santa Cruz, USA) at 4 °C overnight and followed by anti-goat Cy3 conjugated secondary antibody (R&D System, Minneapolis, USA) at RT for 1 h. The slides were then incubated with F4/80 (1:100, FITC conjugated) and Ly6G (1:100, BV421 conjugated, BD Biosciences, Franklin Lakes, USA) at RT for 1 h. Some slides were stained with myeloperoxidase (MPO, 1:100, PA5-16672, Thermo Fisher, Waltham, USA) and histone H1 (1:200, Mab3864, Merck, Kenilworth, USA) antibodies and followed by anti-rabbit Cy3 and anti-mouse FITC secondary antibodies from Abcam, Cambridge, UK. Nuclei were stained with DAPI (Thermo Fisher, Waltham, USA). Random pictures (20 images under 40x magnification) were taken from mouse lung sections, and MPO+ and histone H1+ cells were enumerated using ImageJ (NIH, Bethesda, USA). All fluorescent signals were quantified using an Axio Imager M2 microscope (Zeiss, Oberkochen, German) as previously described.48

ELISA

The concentrations of TNF, IL-1β, and IL-6 in mouse lung and colon homogenates and human cell lysates were determined using DuoSet ELISA kits (R&D systems, Minneapolis, USA) according to manufacturer’s instructions.

Flow cytometry

Single cell suspensions were obtained from mouse lungs using gentleMACSTM Dissociators (Mitenyi Biotec, Australia). Cells were incubated with Fc blocker (BD Pharmingen, Franklin Lakes, USA) and stained with CD45 (conjugated with PE-Cy7, BD Biosciences, Franklin Lakes, USA), F4/80 (Conjugated with FITC, BD Pharmingen, Franklin Lakes, USA), CD11b (conjugated with Alexa Fluor 700, BD pharmingen, Franklin Lakes, USA) and Ly6G (conjugated with BV510) antibodies at 4 °C for 30 min. For some experiments, cells were separated by MojoSortTM Mouse CD45 Nanobeads (BioLegend, San Diego, USA) according to manufacturer’s instrument. All CD45 negative cells were stained with Epcam (conjugated with BV421, BioLegend, San Diego, USA) and PAFR (ab104162, Abcam, Cambridge, UK) at 4 °C for 30 min, and then followed by anti-rabbit FITC conjugated secondary antibody at 4 °C for 30 min. CD45 positive cells were stained with F4/80 (BUV395, BD pharmingen, Franklin Lakes, USA), Ly6G (PE-CF594, BioLegend, San Diego, USA), CD11b (BV480, BioLegend, San Diego, USA), CD11c (PE, BioLegend, San Diego, USA), SigF (BV421, BioLegend, San Diego, USA), CD45 (PE-Cy7, BD Biosciences, Franklin Lakes, USA) and PAFR (Abcam, Cambridge, UK) at 4 °C for 30 min, and then followed by anti-rabbit FITC conjugated secondary antibody at 4 °C for 30 min. Flow cytometric analysis was performed using a BD LSRFortessaTM flow cytometer with FACSDiva software (BD Biosciences, Franklin Lakes, USA). Data was analysed using FlowJo software (Tree Star Inc., Ashland, Oregon, USA) as previously described.50 CD45Epcam+PAFR+ cells were sorted by a BD FACSAria III cytometer and collected into DMEM medium. Cell lysates were collected, and total proteins were extracted for immunoblot. For cell sorting and flow cytometry assays, all samples were stained and analysed by flow cytometry within 3 h without fixation and live/dead cell stain.

Cell culture

Human alveolar basal epithelial cell line (A549, ATCC, USA) were cultured in DMEM medium contained 10% fetal bovine serum, 1% non-essential amino acids, 100 units/ml penicillin and 100 mg/ml streptomycin at 37 °C with 5% CO2. Cells were treated with 100 μM CV6209 (Cayman Chemical, Ann Arbor, USA) 1 h before a 4-h LPS challenge. LPS was sourced from P. aeruginosa (ChoP positive, 1 μg/ml, Sigma-Aldrich, St. Louis, USA) or from E. coli (ChoP negative, 1 μg/ml, Sigma-Aldrich, St. Louis, USA). Control groups received equal volume of media.

Statistical analysis

Results are presented as standard error of the mean (SEM). For mouse studies, 6–8 mice were used per group, sourced from duplicate experiments. Cell culture experiments were repeated at least three times for each time point. Comparisons between two groups were made using unpaired t-tests. Comparisons between multiple groups were made using a one-way analysis of variance (ANOVA) with Bonferroni comparisons. For analysis of data with two independent variables such as weight loss data, a two-way ANOVA was utilized. Analyses were performed using the GraphPad Prism Software (San Diego, USA).