Kinetic profiling of in vivo lung cellular inflammatory responses to mechanical ventilation Samantha J. Woods, Alicia A.C. Waite, Kieran P. O’Dea, Paul Halford, Masao Takata, Michael R. Wilson Section of Anaesthetics, Pain Medicine and Intensive Care, Faculty of Medicine, Imperial College London, Chelsea and Westminster Hospital, London, SW10 9NH, UK Corresponding author name and address: Michael Wilson, Ph.D., Anaesthetics, Pain Medicine and Intensive Care, Faculty of Medicine, Imperial College London, Chelsea and Westminster Hospital, 369 Fulham Road, London, SW10 9NH, UK. E-mail: [email protected] Author contributions: Conception and design of the study: AW, KO, MT, MW; Data acquisition, analysis and interpretation: SW, AW, KO, PH, MW; writing and revising the article: SW, MT, MW Sources of support: Work was supported by grants from the British Journal of Anaesthesia/Royal College of Anaesthetists and the Wellcome Trust (# 081208). Running Title: Cellular activation during VILI 1 ABSTRACT Mechanical ventilation, through over-distension of the lung, induces substantial inflammation that is thought to increase mortality among critically ill patients. The mechanotransduction processes involved in converting lung distension into inflammation during this ventilatorinduced lung injury (VILI) remain unclear, though many cell types have been shown to be involved in its pathogenesis. This study aimed to identify the profile of in vivo lung cellular activation that occurs during the initiation of VILI. This was achieved using a flow cytometrybased method to quantify the phosphorylation of several markers (p38, ERK1/2, MK2 and NF-κB) of inflammatory pathway activation within individual cell types. Anesthetized C57BL/6 mice were ventilated with low (7ml/kg), intermediate (30ml/kg) or high (40ml/kg) tidal volumes for 1, 5 or 15 minutes followed by immediate fixing and processing of the lungs. Surprisingly, the pulmonary endothelium was the cell type most responsive to in vivo high tidal volume ventilation, demonstrating activation within just 1 minute, followed by the alveolar epithelium. Alveolar macrophages were the slowest to respond, though still demonstrated activation within 5 minutes. This order of activation was specific to VILI, as intratracheal lipopolysaccharide induced a very different pattern. These results suggest that alveolar macrophages may become activated via a secondary mechanism which occurs subsequent to activation of the parenchyma, and that the lung cellular activation mechanism may be different between VILI and lipopolysaccharide. Our data also demonstrates that even very short periods of high stretch can promote inflammatory activation, and importantly, this injury may be immediately manifested within the pulmonary vasculature. Keywords: LPS; MAPK; NF-κB; inflammation; ventilator-induced lung injury Abbreviations used in this article: AECs, alveolar epithelial cells; AMs, alveolar macrophages; ARDS, acute respiratory distress syndrome; MK2, MAPK-activated protein kinase 2; VILI, ventilator-induced lung injury. 2 INTRODUCTION Mechanical ventilation is an integral tool in intensive care, but evidence shows that excessive tidal volumes can lead to ventilator-induced lung injury (VILI) (43) and increase mortality (2, 16). Patients with pre-existing lung injury such as acute respiratory distress syndrome (ARDS) (30) are especially at risk since even low tidal volumes are enough to overstretch the reduced volume of aeratable lung (17, 46). Over-distension induces substantial inflammation (48, 55) and is ultimately thought to promote multiple-system organ failure (37, 44), the most common cause of death in ARDS patients (50). Furthermore, recent studies show that even patients with healthy lungs undergoing mechanical ventilation during surgery for relatively short lengths of time are susceptible to VILI. The use of ventilation strategies employing lower tidal volumes in the operating room has been shown to reduce the incidence of post-operative pulmonary complications and inflammation (41, 61). This stretch-induced ‘biotrauma’ is therefore considered to be an important therapeutic target, but the risk of general immunosuppression means that ‘stretch-specific’ processes must be identified. It is therefore essential to understand how overstretch is sensed within the lung, and which cell types may be responsible for initiating the consequent inflammatory cascade, but as yet this remains unclear. Parenchymal (epithelial/endothelial) cells and resident leukocytes (alveolar macrophages/lung-marginated monocytes) have all been demonstrated to be involved in VILI in some way, be it production of inflammatory mediators or changes in barrier function (12, 13, 22, 57). In vitro, many pulmonary cell types respond to mechanical deformation, including alveolar epithelial cells (AECs) (3, 33, 51, 59, 60), endothelial cells (20, 25) and alveolar macrophages (AMs) (38). It is uncertain though, precisely how relevant the in vitro conditions are to in vivo ventilation; for example, it seems unlikely that AMs would be exposed to the same stretching forces as structural cells in vivo. The simplest paradigm to explain the initiation of ventilator-induced inflammation would incorporate an initial stretch ‘sensor’ followed by amplification and propagation of the 3 inflammatory response, although this remains speculation and there is little hard evidence to support such a theory. We have therefore tested the hypothesis that during high stretch mechanical ventilation in vivo, alveolar epithelial cells play the role of initial sensor, and thus display activation of inflammatory pathways earlier than alveolar macrophages, which we suggest would be the likely amplifiers of inflammation. To explore this, we evaluated cellular inflammatory pathway activation in terms of phosphorylation of the mitogen-activated protein (MAP) kinases p38 and ERK1/2, p38’s immediate downstream substrate MK2, and the transcription factor NF-κB, during the first few minutes of VILI. p38 responds to a range of cell stresses, and through activation of MK2 promotes the translation of pro-inflammatory mediators (32), whilst ERK1/2 is commonly associated with responses such as cell proliferation and differentiation (26). NF-κB is present in the cytoplasm of quiescent cells and upon phosphorylation rapidly translocates into the nucleus where it regulates many inflammatory genes (28). Activation of these markers has been frequently detected following high tidal volume ventilation in vivo (9, 29, 34, 49), and their inhibition attenuates aspects of VILI including cytokine release (1, 8, 19, 20, 33, 42). However, these previous studies have utilised techniques such as Western blotting and immunohistochemistry, which are either not truly quantitative or do not allow localisation of cellular activation. Furthermore, the earliest time point previously utilised to investigate in vivo MAP kinase activation is 30 minutes (49), which cannot be considered as related to the initiation of VILI. To circumvent these issues we developed a flow cytometrybased method to quantify MAP kinase and NF-κB phosphorylation in whole lungs. This methodology has the combined advantages of high detection sensitivity and the ability to localise activation to specific cell types following in vivo interventions. The current study examined the kinetic profile of individual cell types within the first 15 minutes of exposure to high tidal volume ventilation in vivo and found that the pattern of inflammatory pathway activation was specific to VILI, as compared to intratracheal lipopolysaccharide (LPS). Surprisingly, our data suggest that pulmonary endothelial cells 4 initiate inflammatory signalling pathways at least as fast as AECs, and may be the most sensitive cell type to stretch of those tested, indicating that VILI directly induces pulmonary vascular inflammation from the start of its mechanotransduction process. AMs appeared to respond the slowest (though still within just 5 minutes) suggesting they may be activated by a secondary mechanism, albeit an extremely rapid one. METHODS In vivo models Protocols were approved by the UK Home Office in accordance with the Animals (Scientific Procedures) Act 1986, UK. A total of 96 male C57BL/6 mice (Charles River, Margate, UK) aged 10.9±3.1 weeks (mean±SD), weighing 26.8±3.0g, were anesthetised by intraperitoneal injection of ketamine (90mg/kg) and xylazine (10mg/kg) before use as controls or exposure to either intratracheal LPS or VILI. For LPS experiments, mice (n=16) were exposed to intratracheal LPS for either 1, 5 or 15 minutes. For experiments lasting 5 or 15 minutes, 20µg ‘Ultrapure’ LPS (E. coli O111:B4; InVivoGen, San Diego, CA) in a final volume of 50µl saline, was instilled intratracheally via a fine catheter briefly passed through the vocal chords, which were visualised using a microscope and external light source (36, 56). Animals were maintained spontaneously breathing under anesthesia and kept warm before sacrifice. One minute before termination of the experiments, an endotracheal tube was inserted via tracheostomy to facilitate timely instillation of inhibitors as described below. To ensure accurate timing, in LPS experiments lasting only 1 minute the endotracheal tube was inserted first, before LPS (at the same dose and volume as above) was administered by passing the fine catheter through the endotracheal tube. Untreated mice (n=11) were used as controls as pilot experiments showed that administration of saline vehicle had no effect on cellular activation markers. 5 For VILI experiments, mice (n=69) were connected to a custom-made ventilator through an endotracheal tube inserted via tracheostomy (55). Animals were initially ventilated with low stretch settings: tidal volume (VT) 7-8ml/kg, 120 breaths per minute (bpm) and positive endexpiratory pressure (PEEP) of 3cmH2O, using 100% oxygen. Two recruitment manoeuvres were performed (sustained inflation of 35cmH2O for 5 seconds) to standardise lung volume history before starting specific ventilation strategies. No further recruitments were performed during the timed ventilation exposure periods (as the longest of these was only 15 minutes). Mice were then randomly allocated to receive either injurious ventilation or to remain on the low stretch settings. Initial experiments (26 mice) explored high stretch ventilation (VT 40ml/kg, 80bpm, 3cmH2O PEEP using O2 + 4% CO2) for 5 or 15 minutes, with 5 minutes of low stretch acting as controls. Subsequent experiments (14 mice) were carried out for 1 minute with both high and low stretch settings. In a separate set of experiments (21 mice) lasting 5 minutes, ventilation with low stretch was compared to an intermediate stretch strategy (30ml/kg, 80bpm, 3cmH2O PEEP using O2 + 4% CO2). All experiments were terminated by exsanguination followed by immediate instillation of 500µl cell-permeant phosphatase inhibitor cocktail (Calbiochem, Darmstadt, Germany) into the lungs via the endotracheal tube, to limit deterioration of the phospho-proteins. Lungs were rapidly removed within 2 minutes of termination and mechanically disrupted in warm (37°C) fixation/permeabilisation buffer (Cytofix/Cytoperm, BD Biosciences, Oxford, UK) using a GentleMACS dissociator (Miltenyi Biotec, Surrey, UK). Samples were then incubated at 37°C for a further 10 minutes, following which fixation was stopped by addition of ice-cold permeabilising buffer (phosphate-buffered saline, 0.2% saponin, 2% fetal calf serum, 0.1% sodium azide). Samples were filtered through 40µm sieves, and finally washed/re-suspended in permeabilising buffer (to ensure access of antibodies to the cytoplasmic phospho-proteins) to yield a fixed single cell suspension of the whole lung as previously described (31). Phospho-flow cytometry 6 Lung cell suspensions were stained for 30 minutes at room temperature with fluorophoreconjugated anti-mouse antibodies to identify pulmonary cell populations. Epithelial cell populations were identified using antibodies against CD45-PerCP (clone 30-F11; BioLegend, San Diego, CA), CD31-FITC (MEC 13.3; BioLegend), EpCAM-PE (G8.8; eBioscience, San Diego, CA) and T1-alpha-PeCy7 (8.1.1; BioLegend) (15, 35). In addition, type I and type II AECs were further differentiated based on positive or negative staining for CD54 (ICAM-1)FITC (3E2; BD Biosciences, San Jose, CA). Endothelial cells were identified using antibodies against CD45-PerCP and CD31-FITC (4), and were also confirmed as staining positive for CD105-PE (MJ7/18; eBioscience), and negative for the platelet marker CD41FITC (MWReg,30; Serotec, Oxford, UK). Alveolar macrophages were identified using antibodies against CD45-PerCP, CD11b-PE-CF954 (M1/70; BD Horizon), F4/80-FITC (BM8; BioLegend), and CD11c-Ax780 (N418; eBioscience) (5). Using a previously published technique (24, 31), lung cell suspensions were also stained with AF-647 conjugated antibodies against intracellular phospho-p38 (Thr180/182; clone 28B10), phospho-MK2 (Thr334; 27B7), phospho-ERK1/2 (Thr202/Tyr204; D13.14.4E) and phospho-NF-κB p65 (Ser536; 93H1) (Cell Signaling, Danvers, MA). To validate the findings, in a separate set of experiments 8 animals were ventilated with the high stretch or low stretch settings for 5 minutes, and levels of both phosphorylated and non-phosphorylated ERK1/2 (137F5; Cell Signaling) were determined within the same lungs. Samples were analysed with a CyAn ADP flow cytometer (Beckman Coulter, High Wycombe, UK) and FlowJo software V10 (TreeStar, Ashland, OR). Signals were determined as geometric mean of fluorescence intensity (gMFI). Statistical analysis Shapiro-Wilk normality and Levene’s homogeneity of variance tests were conducted on all data. Where possible, non-parametric data were normalised using square root transformation. Comparisons between two datasets were performed using T-tests or Mann 7 Whitney U-tests. Comparisons between three or more datasets were performed using ANOVA with Tukey HSD, Welch ANOVA with Games-Howell for parametric data with unequal variance, or Kruskal Wallis with Dunn’s test for non-parametric data. Statistical significance was defined as p<0.05. Data were analysed and graphed using IBM SPSS (V20) and Prism software (V6). RESULTS Intratracheal LPS model Initial experiments (for both the LPS and VILI models) were carried out over 5 and 15 minute periods. Figure 1 illustrates the gating strategies used to identify the different pulmonary cell types, and for each a representative overlay of histograms shows the increase in phosphoMK2 after 15 minutes of LPS compared to an untreated control. Intratracheal LPS induced significant activation in each of the cell types studied in this experiment, with the clearest response exhibited by the AMs (figure 2). In the AMs, a >5-fold increase in the mean fluorescence intensity (gMFI) of phospho-p38 was detected at both 5 and 15 minutes after LPS instillation. MK2 also displayed sustained activation in response to LPS, with a 7-9 fold increase in phosphorylation after 5 and 15 minutes. In contrast, ERK1/2 and NF-κB demonstrated a more transient activation, which peaked at 5 minutes. Phosphorylation of both these markers decreased considerably by 15 minutes, though were still significantly increased compared to their respective baseline levels. In comparison to the AMs, the type I and II AECs both showed clear activation of NF-κB within 5 minutes, though most of the MAP kinases only reached significant levels of activation after 15 minutes. The endothelial response was less apparent than that of epithelial cells (figure 2), with no significant activation of any marker at 5 minutes. NF-κB took 15 minutes to become significantly activated and was accompanied by activation of p38 8 and MK2 (1.5 fold increase in signal), though ERK1/2 activation failed to reach significance at all. VILI model In comparison to LPS, high stretch ventilation induced a markedly different pattern of cellular activation, with all the cell types demonstrating inflammatory signalling pathway activation within just 5 minutes (figure 3). The AMs displayed significantly increased phosphorylation of MK2 at 5 minutes, albeit transiently. The type I AECs displayed transient ERK1/2 activation which peaked at 5 minutes, whilst MK2 displayed a trend for increased phosphorylation at 5 minutes that became significant at 15 minutes. The type II AECs exhibited similar responses to the TI AECs, with transient ERK1/2 activation peaking at 5 minutes and increased MK2 phosphorylation at both time points. As with all the other cell types, the endothelial cells displayed a transient increase in ERK1/2 phosphorylation that peaked at 5 minutes. MK2 was also significantly activated by 5 minutes and demonstrated sustained activation at 15 minutes. Interestingly, unlike the situation following LPS stimulation, there was very little evidence of NF-κB activation in response to high stretch, with only type I AECs showing increased NF-κB phosphorylation, after 15 minutes of stretch (figure 3). To further validate this discovery of widespread MAP kinase phosphorylation in response to stretch, in particular given that it was more subtle than LPS-induced activation, we carried out a separate set of experiments to quantify the levels of both phosphorylated and total ERK1/2 protein within the same lungs after 5 minutes of high or low stretch ventilation. ERK1/2 was chosen for these experiments as it was consistently upregulated at 5 minutes within most cell types, and there is no commercially available, flow cytometry validated total MK2 antibody. These experiments once again demonstrated significantly increased phosphorylation of ERK1/2 in response to high stretch ventilation, whilst the total levels of ERK1/2 protein were not altered (figure 4). 9 Parenchymal cells are the initial ‘inflammatory responders’ As all cell types examined were found to demonstrate activation following as little as 5 minutes of high stretch mechanical ventilation, it was not possible to draw any conclusions regarding which cell types may be the initiating cells, responsible for starting the inflammatory cascade. To address this, we carried out two further sets of experiments: i) an investigation of an even earlier time point for both LPS and VILI experiments (1 minute), and ii) an investigation of lower tidal volumes for the VILI model. Despite clear activation of alveolar macrophages after 5 minutes of exposure to intratracheal LPS, there was no significant activation at 1 minute (figure 5). The type I and II AECs, which both demonstrated NF-κB phosphorylation after 5 minutes of LPS, showed no evidence of activation after 1 minute, and neither (unsurprisingly) did the endothelium (figure 5). In contrast, just 1 minute of high stretch ventilation induced significant cellular activation within the lung (figure 6). Both type I and II AECs displayed significantly increased p38 activation, while somewhat surprisingly, the endothelial cells demonstrated the clearest signs of significant activation, with p38, MK2 and ERK1/2 all showing ~2-fold increases in phosphorylation (figure 6). In contrast, AMs showed no significant activation, suggesting that they were responding less rapidly than other cell types (figure 6). Finally, experiments conducted at a lower tidal volume of 30ml/kg for 5 minutes only induced significant MAP kinase (MK2) activation in endothelial cells (figure 7), further indicating that they may be the most sensitive to stretch during ventilation. DISCUSSION This study was designed primarily to investigate which pulmonary cell types initiate the inflammatory sequelae following over-distension during high tidal volume ventilation. Until now, research has focused on the downstream consequences of VILI such as cytokine release, but very little is known about the in vivo mechanotransduction and signal 10 propagation processes underlying the initiation of inflammation. We have investigated intracellular inflammatory signalling events within the first 15 minutes after initiating high tidal volume ventilation in vivo, and compared this to intratracheal LPS administration to see whether we could identify a stretch-specific pattern. We used a flow cytometric technique previously established within our group (31) to quantitatively assess the phosphorylation status of intracellular MAP kinases, which provides the advantages of measuring an upstream signal transduction event, with cell-specific localisation of the signal. This novel approach has revealed differential responses of pulmonary cells in vivo to a bacterial and mechanical insult. The bacterial endotoxin LPS induced activation of multiple inflammatory pathways just 5 minutes after intratracheal instillation into the lungs. This rapidity of response is consistent with previous observations of MK2 phosphorylation in the whole lung (40), but our data allow us to clarify the cells responsible. The data show a distinct pattern of activation within cell types, with alveolar macrophages showing activation of MAP kinases and NF-κB at 5 minutes, while epithelial cells primarily showed activation of NF-κB at this early time point. These data are mainly consistent with previous in vitro studies indicating that LPS induces cytokine secretion in macrophages through activation of ERK1/2 and p38/MK2 pathways, while epithelial cell cytokine production is not mediated through these MAP kinases (47). Interestingly, these in vitro studies showed no ERK1/2 or p38 activation in epithelial cells for up to 4 hours following LPS, while we found phosphorylation of these within 15 minutes. This is likely to suggest that this in vivo response is indicative of a secondary activation via a paracrine mediator, for example TNF. In contrast to alveolar macrophages and epithelial cells, endothelium showed no signs of activation until 15 minutes. The fact that this activation included not only NF-κB but also MAP kinases, along with the delay in response, may suggest that this is also secondary mediator-induced activation. Compared to LPS, injurious mechanical ventilation induced an entirely different sequence of events. Each of the individual cell types studied showed signs of significant inflammatory 11 pathway activation within 5 minutes, although interestingly this did not include NF-κB, which was the most consistently activated marker 5 minutes after LPS. The rapidity of this response to ventilation led us to explore even earlier time points, finding that the endothelial cells displayed activation of all MAP kinase markers after 1 minute of high stretch, while the AECs displayed some signs (increased phosphorylation of p38) of becoming activated at this time point. AMs however displayed no significant increases in any marker at 1 minute. Taken together these data indicate that parenchymal cells are likely to be the cells within the lungs that initiate the inflammatory response to stretch, followed by communication to other cell types, which can then propagate the cascade. Within the alveolar space, this would seemingly take the form of stretched epithelial cells sending a signal to alveolar macrophages. Many in vivo studies have localised MAP kinase and NF-κB activation to the alveolar epithelium using immunohistochemistry, though only after longer periods of high tidal volume ventilation (1, 29, 49) than used presently. One previous in vivo study indicated that alveolar macrophages could be activated by soluble signals contained within bronchoalveolar lavage fluid taken from animals ventilated with high stretch for 20 minutes (13), although it was not clarified whether said mediator(s) actually came from epithelial cells within that study. The nature of this signal is therefore not yet clear, but according to our data is limited to mechanisms that could stimulate macrophage responses within 5 minutes. Possible options include i) soluble mediators such as prostaglandins, which have been shown to be rapidly released from AECs stretched in vitro within a 10 minute time frame (8), ii) direct communication between epithelial cells and macrophages through gap junction channels (54), or iii) indirect sensing of epithelial cell deformation mediated through adhesive contacts between macrophages and the epithelium. Intriguingly, our data indicate that endothelial cells were potentially not only the first cell type to activate inflammatory pathways during high stretch, but also the most sensitive to lower levels of stretch. Indeed, Dreyfuss et al showed nearly 20 years ago that just 5 minutes of high pressure ventilation induced endothelial cell blebbing (11), and increased p38 and 12 ERK1/2 activation have been detected after 5 minutes in pulmonary endothelial cells stretched in vitro (1, 20, 23). To the best of our knowledge, our study is the first report of such rapid endothelial MAP kinase activation following in vivo ventilation. One of the fundamental functions of endothelial cells is to control vascular tone in response to mechanical forces applied onto them, i.e. shear stress by blood flow and circumferential stretch force generated by vascular transmural pressure. During high tidal volume ventilation, both the shear stress and circumferential stretch would likely decrease due to somewhat reduced pulmonary flow and capillary compression (in a direction perpendicular to the alveolar wall) by positive alveolar pressure. However, at the same time, because of the physical nature of the capillary network as a mesh surrounding alveoli, firmly attached to the alveolar wall via the basement membrane, lung inflation would produce significant ‘longitudinal’ stretch of the capillary wall, as proposed by West as part of his theory of capillary stress failure (14, 53). The rapidity of the endothelial response in our experiments supports the likelihood of such longitudinal capillary deformation, indicating that these endothelial cells are indeed responding directly to stretch rather than a released secondary mediator. Our results would seem to be consistent with the hypothesis that pulmonary capillary endothelial cells may be by nature more responsive than alveolar epithelial cells to such longitudinal stretch of the alveolar wall during lung inflation, and suggest a potentially central role for endothelial cells in initiating VILI. These data may have a further important implication in respect to the systemic propagation of inflammation. Lung-derived mediators produced during VILI have been proposed to play significant roles in causing injury to non-pulmonary organs, but while studies have attempted to identify the nature of such mediators (21), the cell source has received relatively little attention. The ‘decompartmentalisation’ hypothesis suggests a leak of mediators from the alveolar space to the circulation, but the very rapid activation of inflammatory pathways in endothelial cells in our study suggests that other mechanisms are likely to be involved. We have previously shown that lung-marginated monocytes play an important role in VILI in vivo 13 (57), and in systemic cytokine release during in situ ventilation (52). Taken together, these data could suggest that in a process analogous to that proposed in the alveolar space, endothelial cells initially respond to deformation and then pass signals to leukocytes marginated within the capillaries to amplify the inflammatory signal systemically. The tidal volumes used in this study are much higher than those used clinically. However, they do reflect the degree of stretch experienced by heterogeneously injured human lungs (17, 46, 58), which are inherently less compliant than those of mice (45). Furthermore, tidal volumes clinically relevant to human ARDS are not necessarily always ideal for experimental purposes in mice. Although many examples exist of mouse models demonstrating the development of deteriorated lung function with more ‘clinically consistent’ tidal volumes (18, 27), it is often not clear to what extent stretch per se, rather than other confounding factors such as atelectasis or a preceding lung insult, is the primary cause of injury (39, 58). Indeed, we have previously demonstrated that tidal volumes up to 20ml/kg are unlikely to induce substantial stretch within the lungs of healthy mice (58). The current study was designed to address the cellular in vivo responses to stretch specifically, and therefore the most appropriate model was deemed to be one in which stretch would predominate. While we did not determine blood pressure or blood gases directly in this study (to minimise surgical instrumentation and potential extra inflammatory insult) we routinely use the same ventilator settings in our mouse VILI experiments and do not observe any deterioration in blood pressure or gases until well after the 15 minute time-frame of the current study (10, 55, 58). Furthermore, as there was virtually no NF-κB response to ventilation, the possibility that activation was due to contamination by LPS appears minimal. Overall, we therefore believe that it is highly likely that the activation measured in the current study is a direct consequence of lung overstretch. Finally, it is important to clarify that in the current study we were attempting specifically to explore the initiation of inflammatory cascades within the lungs, rather than identify which cells may be ‘responsive’ per se to stretch. For example, one large breath is capable of 14 mobilising intracellular calcium and promoting surfactant secretion from epithelia (60). However, such responses do not necessarily have immediate relevance to the way in which inflammatory cascades and inter-cellular communication begin. It remains possible that inflammatory pathways other than the ones we have measured are upregulated; however the markers used are involved in three separate signalling pathways that promote inflammatory responses to myriad stress stimuli. Many of the markers displayed transient activation in response to both LPS and high stretch ventilation, a pattern which seems to be characteristic of the MAP kinases and NF-κB. Indeed, many in vitro studies have also detected transient patterns of activation in response to both stretch and LPS in a variety of cell types (1, 6, 7, 40). Exploring the mechanisms behind this transience was outside the scope of the current study, but may include processes such as translocation into the nucleus for NF-κB (a compartment inaccessible to the antibodies under the current protocols) and enhanced activity of phosphatases as part of an auto-regulation process. Regardless, p38, ERK1/2, and NF-κB have been frequently implicated in inflammatory signalling initiated by VILI, and their inhibition has been shown to attenuate symptoms of VILI including cytokine release (19, 20, 33), suggesting that even very transient activation is sufficient to induce an inflammatory cascade. In summary, our data demonstrate a substantially differing cellular activation profile between mechanical stretch and intratracheal LPS. By studying the immediate responses to challenge we have identified likely ‘initial responders’, and the cells which become activated later, potentially in response to secondary signals. 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Gating strategies for identifying specific cell types from a whole lung single cell suspension using flow cytometry. Alveolar macrophages were identified as CD45+, CD11b-, F4/80+ and CD11c+. Endothelial cells were identified as CD45-, CD31+, and were also confirmed as staining positive for CD105, and negative for the platelet marker CD41. Type I AECs were identified as CD45-, CD31-, EpCAM+, T1-α+ and type II AECs as CD45-, CD31, EpCAM+, T1-α-. In addition, type I and type II AECs were further differentiated based on positive or negative staining for CD54 (ICAM-1). Representative histograms display the increase in geometric mean fluorescence intensity (gMFI) of phospho-MK2 after 15 minutes of exposure to intratracheal LPS (grey) versus untreated (white). Fig. 2. Phosphorylation levels (gMFI) of the activation markers for all cell types after exposure to intratracheal LPS for 5 or 15 minutes compared to untreated controls. AMs and epithelial cells displayed responses to LPS within just 5 minutes. N=5, *p<0.05, **p<0.01, ***p<0.001. Data were analysed by ANOVA with Tukey HSD, or Welch ANOVA with Games-Howell tests for parametric data with unequal variance. Data are displayed as mean ± SD. Fig. 3. Phosphorylation levels (gMFI) of the activation markers for all cell types after exposure to 5 or 15 minutes of high stretch ventilation compared to 5 minutes of low stretch. The parenchymal cells appeared more responsive to stretch than the AMs. N=5-8, *p<0.05, **p<0.01, ***p<0.001. Data were analysed by ANOVA with Tukey HSD and are displayed as mean ± SD, or geometric mean with 95% confidence intervals (lower, upper bounds) for transformed data. Non-parametric data were analysed by Kruskal-Wallis with Dunns and are displayed as box-whisker plots with error bars extending to minimum and maximum values. Fig. 4. Levels of phosphorylated and total ERK1/2 protein within lungs subjected to 5 minutes of low or high stretch ventilation. Consistent with findings from figure 3, levels of 23 phospho-ERK1/2 clearly increased with high stretch ventilation, whilst levels of nonphosphorylated ERK1/2 within the same lungs were unaltered. N=4, *p<0.05, **p<0.01. Data were analysed by t-test and are displayed as mean ± SD. Fig. 5. Phosphorylation levels (gMFI) of the activation markers for all cell types after exposure to intratracheal LPS for 1 minute compared to untreated controls. No significant signs of activation could be detected after 1 minute of LPS. N=4-6. Data were analysed by ttest and are displayed as mean ± SD, or geometric mean with 95% confidence intervals (lower, upper bounds) for transformed data. Non-parametric data were analysed by Mann Whitney U and are displayed as box-whisker plots with error bars extending to minimum and maximum values. Fig. 6. Phosphorylation levels (gMFI) of the activation markers for all cell types after exposure to 1 minute of low or high stretch ventilation. The endothelial cells displayed activation of the most markers after just 1 minute of high stretch ventilation. N=5-7, *p<0.05, **p<0.01. Data were analysed by t-test and are displayed as mean ± SD. Fig. 7. Phosphorylation levels (gMFI) of the activation markers for all cell types after exposure to 5 minutes of ventilation at 30ml/kg compared to 5 minutes of low stretch ventilation. Only the endothelial cells demonstrated sensitivity to the intermediate tidal volume of 30ml/kg. N=7-11, *p<0.05. Data were analysed by t-test and are displayed as mean ± SD, or geometric mean with 95% confidence intervals (lower, upper bounds) for transformed data. 24 FIGURES Fig. 1. 25 Fig. 2. 26 Fig. 3. 27 Fig. 4. 28 Fig. 5. 29 Fig. 6. 30 Fig. 7. 31
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