Abstract
Classical dendritic cells (cDCs) are involved in the pathogenesis of inflammatory lung diseases; however, their contributions in acute respiratory distress syndrome (ARDS), which is pathophysiologically inflammatory, remain unknown. The present study aimed to explore the regulatory effects of pulmonary cDCs on acute lung inflammation and injury in lipopolysaccharide (LPS)-induced ARDS. Fms-like tyrosine kinase 3-ligand (FLT3L) and lestaurtinib, a specific activator and an inhibitor of FLT3 signaling respectively, were used separately for the pretreatment of C57BL/6 mice for 5 consecutive days. ARDS was induced by intratracheal injection of LPS, and mice were sacrificed 6 and 24 h later. Flow cytometry was used to measure the aggregation and maturation of pulmonary cDCs. The ratio of lung wet weight to body weight (LWW/BW) and histopathological analyses were assessed to evaluate lung edema and lung injury. Tumor necrosis factor-α and interleukin (IL)-6 levels were measured by ELISA to evaluate acute lung inflammation. The levels of interferon-γ, IL-1β, IL-4 and IL-10, and the expression of the transcription factors T-box-expressed-in-T-cells (T-bet) and GATA binding protein 3, were quantified by ELISA, RT-qPCR and western blotting to evaluate the balance of the Th1/Th2 response. Myeloperoxidase (MPO) activity was measured to evaluate neutrophil infiltration. The results demonstrated that the aggregation and maturation of pulmonary cDCs reached a peak at 6 h after LPS challenge, followed by a significant decrease at 24 h. FLT3L pretreatment further stimulated the aggregation and maturation of pulmonary cDCs, resulting in elevated lung MPO activity and increased T-bet expression, which in turn led to aggravated LWW/BW, acute lung inflammation and injury. However, lestaurtinib pretreatment inhibited the aggregation and maturation of pulmonary cDCs, decreased lung MPO activity and T-bet expression, and eventually improved LWW/BW, acute lung inflammation and injury. The present results suggested that pulmonary cDCs regulated acute lung inflammation and injury in LPS-induced ARDS through the modulation of neutrophil infiltration and balance of the Th1/Th2 response.
Keywords: acute respiratory distress syndrome, dendritic cells, inflammation, neutrophil infiltration, T helper cell response, pathogenesis
Introduction
Acute respiratory distress syndrome (ARDS) represents the most severe form of acute noncardiogenic refractory respiratory failure and is associated with high morbidity and mortality in critically ill patients (1,2). Numerous studies have emphasized the importance of uncontrolled inflammation in the pathogenesis of ARDS; however, the fundamental cellular mechanisms that regulate acute lung inflammation and injury in ARDS still require to be clarified (3,4).
Classical dendritic cells (cDCs), which exist in the lung in relatively small numbers, are ideally positioned to serve a priming and central role in the immune response during infection/inflammation (5,6). cDCs are pivotal antigen-presenting cells (APCs); the involvement of pulmonary cDCs in the pathogenesis of ARDS has been revealed in several recent studies, wherein cDCs were found to act as pro-inflammatory initiators and mediators (7,8). However, the precise mechanism by which pulmonary cDCs affect acute lung inflammation remains to be clarified.
Fms-like tyrosine kinase 3 (FLT3), to which FLT3-ligand (FLT3L) binds, represents an important hematopoietic factor that is abundantly expressed on hematopoietic stem cells and DC progenitors (9,10). FLT3 signaling is one of the most important pathways that manage the entire lifespan of DCs. Once FLT3L binds to FLT3, the FLT3 signaling is activated, leading to the aggregation of functional DCs, stimulation of DC maturation and decreased apoptosis of mature DCs (9,11). By contrast, inhibition of FLT3 signaling with lestaurtinib is associated with decreased aggregation and maturation of cDCs (9,12). Our previous pilot study also indicated that FLT3 signaling controls the accumulation and maturation of cDCs in mouse models of acute lung injury (13). Therefore, FLT3 signaling may represent a reliable approach for the manipulation of cDCs in vivo.
Although the mechanisms responsible for the pathogenesis of ARDS remain controversial, previous studies have suggested that cDCs may contribute to the pathology of ARDS by regulating several processes, such as polarizing the T helper cell (Th) 1 response and regulating neutrophil infiltration (1,9). Generally, Th cells are the primary target of cDC manipulation, leading to a shifted balance between Th1 and Th2 responses (14). Previous studies have reported that aggregation and maturation of cDCs results in a Th1-skewed cytokine pattern, thus aggravating the inflammatory response, whereas inhibited expansion and maturation of cDCs was associated with a Th2-skewed cytokine pattern (9,15). Recently, cDCs have also been implicated in crosstalk with neutrophils, such as reinforcing the recruitment of neutrophils, prolonging neutrophil survival and inducing the upregulation of the innate immune response (16,17). In summary, favoring the Th1 response and enhancing neutrophil infiltration may be two underlying mechanisms by which cDCs participate in the development of acute lung inflammation during lipopolysaccharide (LPS)-induced ARDS.
The purpose of the present study was to explore whether pulmonary cDCs manage lung inflammation and injury during LPS-induced ARDS and the mechanisms by which pulmonary cDCs affect lung inflammation and injury in vivo.
Materials and methods
Animals
Seventy-five specific-pathogen-free male C57BL/6 mice (age, 6-8 weeks; weight, 20-25 g) were purchased from the Laboratory Animal Center, Academy of Military Medical Sciences of People's Liberation Army (Beijing, China). Mice were maintained under specific pathogen-free conditions with a 12-h light/dark cycle (temperature, 18-23°C; humidity, 40-60%) and fed standard rodent food and water ad libitum. All animal experiments were conducted in accordance with the National Institutes of Health Guide for the Care and Use of Laboratory Animals and with the approval of the Institutional Animal Care and Use Committee of Nanjing Medical University.
Murine ARDS model
The murine ARDS model was induced as previously described with minor modifications (18). Briefly, mice were anesthetized by an intraperitoneal injection of 50 mg/kg pentobarbital, and a midline incision was made in the neck to expose the trachea. ARDS was generated by a direct intratracheal instillation of LPS (2 mg/kg; Escherichia coli 0111:B4; Sigma-Aldrich; Merck KGaA) through a tracheostomy, and the incision was sutured. Mice were returned to the cage until fully awake.
Experimental groups and sample acquisition
Mice were randomly allocated to one of the following groups (n=15 mice per group): Control group, mice received intratracheal administration of 0.9% normal saline (NS); ARDS group, mice received 2 mg/kg LPS to establish the ARDS model; FLT3L+ARDS group, mice received 10 μg/d FLT3L for 5 days followed by 2 mg/kg LPS; lestaurtinib+ARDS group, mice received 40 mg/kg/d lestaurtinib for 5 days followed by 2 mg/kg LPS; and DMSO+ARDS group, mice were pretreated with an equal volume of 10% DMSO for 5 days (DMSO was the solvent for lestaurtinib, and therefore used here as a vehicle control) followed by 2 mg/kg LPS. FLT3L (LC Laboratories), lestaurtinib (Miltenyi Biotec, GmbH) and DMSO (Sigma-Aldrich; Meck KGaA) were all administered subcutaneously. Mice were euthanized by barbital overdose at 6 or 24 h following LPS challenge. These two post-insult time-points were selected because they are critical points for the aggregation and maturation of cDCs (19,20), and they could pathophysiologically represent the early-phase and late-phase of ARDS, respectively (21,22). The whole lung was removed and perfused with saline/EDTA to wipe out the intravascular blood cells. Specimens were snap-frozen in liquid nitrogen and stored at −80°C for subsequent measurements.
Measurement of the aggregation and maturation of pulmonary cDCs by flow cytometry
The aggregation of pulmonary cDCs was quantified using the relative percentage of cDCs among total lung cells (23,24). The maturation of pulmonary cDCs was quantified using the percentage of expression of major histocompatibility complex class II (MHC II) and CD80 in all pulmonary cDCs (5). Briefly, the entire left lung was collagenase-digested into single-cell suspension, as previously described (25). After red blood cell lysis and Fc receptor blockade, cells were stained with monoclonal antibodies or their corresponding isotype controls, according to the manufacturer's recommendations: Cells were incubated with FITC-labeled anti-CD11c, Percp-cy5.5-labeled anti-CD11b, PE-labeled anti-MHC II and APC-labeled anti-CD80 (all at 1:100 dilution; cat. nos. 11-0114-82, 45-0112-82, 12-5321-82, 17-0801-82; eBioscience; Thermo Fisher Scientific, Inc.) at 4°C for 30 min, then washed and resuspended with PBS. The cells were fixed in 1% paraformaldehyde at 25°C for 1 h and kept in the dark at 4°C until analysis. CD11c/CD11b double-positive cells represent pulmonary cDCs (23,26). CD11c/CD11b/MHC II or CD11c/CD11b/CD80 triple-positive cells represent mature cDCs (26,27). Flow cytometry analysis was conducted using a FACSCanto (BD Biosciences) and CellQuest software (BD Biosciences). For each analysis, 20,000 events were recorded.
Pulmonary myeloperoxidase (MPO) activity assay
MPO activity, an index of neutrophil infiltration in the lung, was measured by chromometry, as previously described, using a commercially available kit (Nanjing Jiancheng Bioengineering Institute) (28). In brief, MPO was extracted from homogenized lung tissue (10 mg per assay) by suspending the sample in 0.5% hexadecyl trimethyl ammonium bromide in 0.5 ml of potassium phosphate buffer (10 mmol/l, pH 7.0). A 0.2 ml aliquot of homogenate was mixed with a 1.6 mmol/l solution of tetramethyl benzidine and 0.1 mmol/l H2O2. The rate of change in absorbance at 460 nm was measured by an MK3 spectrophotometer (Thermo Fisher Scientific, Inc.). MPO activity was expressed as units per gram of the sample.
Tumor necrosis factor (TNF)-α, interleukin (IL)-6, interferon (IFN)-γ, IL-1β, IL-4 and IL-10 assay
The right lower lobe was weighted and homogenized. The homogenate was then centrifuged at 1,000 × g for 5 min at 4°C and the supernatant was harvested. The concentrations of TNF-α, IL-6 IFN-γ, IL-1β, IL-4 and IL-10 in the supernatant were measured using commercial ELISA kits (cat. nos. EM008-96, EM004-96, EM007-96, EM001-96, EM003-96 and EM005-96; ExCell Biology, Inc.), according to the manufacturer's protocols. The concentrations were expressed as picograms per milligram of the sample.
Determination of mRNA expression levels of Akt, ERK1/2, STAT5, T-box-expressed-in-T-cells (T-bet) and GATA binding protein 3 (GATA-3)
mRNA expression in lung tissues was measured by reverse transcription-quantitative PCR (RT-qPCR). Briefly, lung tissues (10 mg per assay) were harvested and homogenized, and the total RNA was extracted using TRIzol reagent (Takara Biotechnology Co., Ltd.). A total of 5 μg of total RNA was subsequently reverse transcribed to cDNA, using the High-Capacity cDNA Reverse Transcription kit (Thermo Fisher Scientific, Inc.), according to the manufacturer's protocol. An ABI PRISM 7300 Sequence Detection System (Applied Biosystems; Thermo Fisher Scientific, Inc.) was used for PCR amplification. Each sample was analyzed in triplicate with the following thermocycling conditions: 40 cycles, including a denaturation step at 95°C for 15 sec, an annealing step at 56°C for 20 sec and an extension step at 72°C for 40 sec. SYBR Green I (Thermo Fisher Scientific, Inc.) was selected as the fluorophore dye. The 2−ΔΔCq method was used to calculate the relative expression of mRNA, and β-actin was used as the internal reference gene (29). The primers used were as follows: Akt, forward 5′-TCTATGGCGCTGAGATTGTG-3′ and reverse 5′-CTTAATGTGCCCGTCCTTGT-3′; ERK1, forward 5′-TCCGCCATGAGAATGTTATAGGC-3′ and reverse 5′-GGTGGTGTTGATAAGCAGATTGG-3′; ERK2, forward 5′-GGTTGTTCCCAAATGCTGACT-3′ and reverse 5′-CAACTTCAATCCTCTTGTGAGGG-3′; STAT5, forward 5′-AGTATTACACTCCTGTACTTGCGAAAG-3′ and reverse 5′-GGAGCTTCTAGCGGAGGTGAAGAGACC-3′; T-bet, forward 5′-ACCACCTGTTGTGGTCCAAG-3′ and reverse 5′-CACCAAGACCACATCCACAA-3′; GATA-3, forward 5′-ACCGGGTTCGGATGTAAGTC-3′ and reverse 5′-AGGCATTGCAAAGGTAGTGC-3′; and β-actin, forward 5′-CCTCTATGCCAACACAGTGC-3′ and reverse 5′-GTACTCCTGCTTGCTGATCC-3′.
Determination of protein expression levels of Akt, ERK1/2, STAT5, T-bet, GATA-3 and FLT3L
Protein expression in lung tissue was measured by western blotting. Briefly, the ReadyPrep™ Protein Extraction kit (cat. no. 1632086; Bio-Rad Laboratories, Inc.) was used to extract the total protein. A BCA assay was used to measure the protein concentration. Proteins were denatured and added to the wells in aliquots of 25 μg per well. After SDS-PAGE (10%), the proteins were transferred to a polyvinylidene fluoride membrane, blocked with Tris-buffered saline with Tween-20 (TBST) containing 5% skim milk powder at 25°C for 1 h, and incubated at 4°C overnight with primary antibodies against phosphorylated (p-) Akt, total Akt, p-ERK1/2, total ERK1/2, p-STAT5, total STAT5 (all at 1:400 dilution; cat. nos. ab38449, ab8805, ab201015, ab17942, ab32364, ab16276; Abcam), T-bet, GATA-3, FLT3L and β-actin (all at 1:400 dilution; cat. nos. sc-21763, sc-130057, sc-365266, sc-47778; Santa Cruz Biotechnology, Inc.). β-actin was used as an internal reference protein. The membrane was washed three times with TBST and incubated with horseradish peroxidase-conjugated secondary antibody (1:1,000 dilution; cat. no. A0216; Beyotime Institute of Biotechnology) at 25°C for 1 h. The membrane was washed four times with TBST, developed with the Pierce™ Enhanced Chemiluminescence reagent (Thermo Fisher Scientific, Inc.) and placed on an X-ray film for imaging. Quantity One 4.6.7 software (Bio-Rad Laboratories, Inc.) was used for quantitative analysis of the grayscale values of the bands.
Evaluation of lung edema
Lung edema was assessed by the ratio of lung wet weight to body weight (LWW/BW) (30). In brief, the intact lung was harvested and trimmed to remove extra-pulmonary tissues, and the LWW/BW was calculated based on the recorded lung wet weight and body weight.
Lung histopathological analysis
The right upper lobe was fixed in 10% neutral formaldehyde at 4°C for 24 h and embedded in paraffin. After consecutively transverse slicing into 5-μm-thick sections and sequentially staining with hematoxylin for 5 min and eosin for 2 min at 25°C, 10 high-magnification (×400; light microscopy) visual fields were randomly selected for semi-quantitative evaluation of lung injury based on the method reported by Smith et al (31), and the mean sum of each field score was determined.
Statistical analysis
Statistical analyses were conducted using the SPSS 16.0 software package (SPSS, Inc.) All data were presented as the means ± standard deviation. For multiple group comparison, a one-way analysis of variance followed by Bonferroni's post hoc test was used. For two-group comparison, the Mann-Whitney U test was applied. P<0.05 was considered to indicate a statistically significant difference.
Results
Regulation of FLT3 signaling in lung tissue by FLT3L and lestaurtinib
The mRNA and protein expression levels of Akt, ERK1/2 and STAT5 were measured to confirm the regulation of FLT3 signaling by FLT3L and lestaurtinib. The results demonstrated that the mRNA expression levels of Akt, ERK1/2 and STAT5 exhibited no significant difference among the groups (Fig. 1A-C). However, FLT3L pretreatment in the FLT3L+ARDS group significantly increased the phosphorylation of Akt, ERK1/2 and STAT5 compared with the ARDS group alone (P<0.05; Fig. 1D-G), and lestaurtinib pretreatment in the lestaurtinib + ARDS group significantly decreased the phosphorylation of Akt, ERK1/2 and STAT5 compared with the DMSO+ARDS vehicle control group (P<0.05; Fig. 1D-G). These results indicated that FLT3L and lestaurtinib could effectively activate and suppress FLT3 signaling, respectively.
Aggregation and maturation of cDCs peaks as early as 6 h following LPS challenge
To observe the maximum effect of FLT3 signaling on the aggregation and maturation of cDCs at early-phase of ARDS (19,21), the aggregation and maturation of cDCs was measured at 6 h following LPS challenge. Compared with the control group, both the percentage of pulmonary cDCs (Fig. 2A and B) and the percentage of MHC II-expressing cDCs (Fig. 2C and D) were significantly increased in the ARDS group just 6 h after LPS challenge (P<0.05).
To observe the effect of FLT3 signaling on the aggregation and maturation of cDCs at late-phase of ARDS (20,22), the aggregation and maturation of cDCs was measure at 24 h following LPS challenge. Compared with the control group, both the percentage of pulmonary cDCs (Fig. 2A and B) and the percentage of MHC II-expressing cDCs (Fig. 2C and D) remained higher in the ARDS group at 24 h after LPS challenge (P<0.05). However, the effect was gradually reduced at 24 h compared to 6 h for the ARDS group (Fig. 2B and D; P<0.05). Notably, the expression levels of CD80 on pulmonary cDCs remained unchanged at 6 h after LPS challenge between the control group and the ARDS group (Fig. 2E and F); however, a subsequent sharp increase was observed at 24 h after LPS challenge (Fig. 2E and F; P<0.05).
Aggregation and maturation of cDCs is modulated by FLT3 signaling
The aggregation and maturation of pulmonary cDCs was assessed at 6 h following LPS challenge to confirm the DC-targeting property of FLT3 signaling in vivo. As expected, FLT3L pretreatment in the FLT3L+ARDS group was associated with a significant increase in the percentage of pulmonary cDCs just 6 h after LPS challenge compared with the ARDS alone group (Fig. 3A and B). Furthermore, lestaurtinib pretreatment in the lestaurtinib+ARDS group significantly reduced the percentage of pulmonary cDCs at 6 h after LPS challenge compared with the vehicle control DMSO+ARDS group (Fig. 3A and B).
The expression of MHC II and CD80 was further examined in the pulmonary cDCs, in order to evaluate their maturation. FLT3L pretreatment in the FLT3L+ARDS group significantly increased the expression of MHC II in pulmonary cDCs compared with the ARDS alone group (Fig. 3C and D). Furthermore, compared with the DMSO+ARDS group, the lestaurtinib+ARDS group exhibited decreased expression of MHC II in pulmonary cDCs (Fig. 3C and D). However, the expression of CD80 in pulmonary cDCs exibited no significant difference among the groups (Fig. 3E and F).
Effect of cDC manipulation on acute lung inflammation
The levels of TNF-α and IL-6 in the lungs at 6 h following LPS challenge were measured, in order to evaluate acute lung inflammation. The results demonstrated that the levels of both TNF-α and IL-6 were significantly increased in the ARDS group compared with the control group (Fig. 4). FLT3L pretreatment in the FLT3L+ARDS group significantly increased the TNF-α and IL-6 levels in the lung compared with the ARDS alone group (Fig. 4). Additionally, lestaurtinib pretreatment in the lestaurtinib+ARDS group significantly decreased the TNF-α and IL-6 levels compared with the DMSO+ARDS group (Fig. 4).
Effect of cDC manipulation on lung injuries and lung edema
The lung injury score was calculated next. The histopatho-logical analysis showed alveolar wall thickening, diffused infiltration of inflammatory cells, hemorrhage, intra-alveolar exudates and edema in the ARDS group at 6 h and 24 h following LPS challenge (Fig. 5A and B), with an elevated lung injury score (Fig. 5C and D). The pathologic changes were markedly aggravated (Fig. 5A and B) and the lung injury was significantly increased (Fig. 5C and D) in the FLT3L+ARDS group compared with the ARDS alone group. By contrast, lestaurtinib pretreatment in the lestaurtinib+ARDS group greatly alleviated the pathologic changes (Fig. 5A and B) and significantly decreased the lung injury score (Fig. 5C and B) compared with the DMSO+ARDS group.
The LWW/BW ratio was calculated to evaluate lung edema. The LWW/BW ratio in the ARDS group was significantly increased at 6 h and 24 h following LPS challenge compared with the control group (Fig. 5E and F). The LWW/BW ratio in the FLT3L+ARDS group was further increased compared with the ARDS alone group (Fig. 5E and F). By contrast, the LWW/BW ratio in the lestaurtinib+ARDS group was significantly decreased compared with the DMSO+ARDS group (Fig. 5E and F).
Effect of cDC manipulation on neutrophil infiltration
MPO activity was assessed to evaluate neutrophil infiltration in the lung. The results demonstrated that, compared with the control group, lung MPO activity in the ARDS group was increased significantly at 6 h and 24 h following LPS challenge (Fig. 6). FLT3L pretreatment in the FLT3L+ARDS group further augmented MPO activity compared with the ARDS alone group (Fig. 6). By contrast, lestaurtinib pretreatment in the lestaurtinib+ARDS group significantly decreased MPO activity compared with the DMSO+ARDS group (Fig. 6).
Effect of cDC manipulation on the balance of the Th1/Th2 response
The mRNA and protein expression levels of T-bet and GATA-3 were measured in order to evaluate the balance of the Th1/Th2 response. Since it has been demonstrated that mobilized DCs appear in draining lymph nodes at least 6 h after the invasion of antigens (27), mRNA and protein expression of T-bet and GATA-3 were measured at 24 h following LPS challenge, instead of at 6 h. The results demonstrated that LPS challenge in the ARDS group led to significant elevation of mRNA and protein expression of T-bet (Fig. 7A, C and D), but not GATA-3 (Fig. 7B, C and E) in the lung, indicating a Th1-biased response. FLT3L pretreatment in the FLT3L+ARDS group further amplified this effect (Fig. 7A-E). By contrast, lestaurtinib pretreatment in the lestaurtinib+ARDS group significantly decreased the mRNA and protein expression levels of T-bet, but not GATA-3, in the lung compared with the DMSO+ARDS group (Fig. 7A-E), indicating a Th2-biased response.
Effect of cDC manipulation on Th1/Th2 cytokine production
The concentrations of IFN-γ/IL-1β and IL-4/IL-10 in the lungs at 24 h following LPS challenge were measured in order to evaluate the Th1 and Th2 cytokine production, respectively. The results demonstrated that the concentration of IFN-γ and IL-1β in the lungs was significantly increased in the ARDS group compared with the control group (Fig. 8A and B), indicating an enhanced Th1-skewed cytokine pattern. FLT3L pretreatment in the FLT3L+ARDS group further increased the concentration of IFN-γ and IL-1β compared with the ARDS alone group (Fig. 8A and B). By contrast, lestaurtinib pretreatment in the lestaurtinib+ARDS group significantly decreased the concentration of IFN-γ and IL-1β in the lung compared with the DMSO+ARDS group, indicating a repression of the Th1-skewed cytokine pattern (Fig. 8A and B). Unexpectedly, neither LPS challenge nor cDC manipulation affected the concentration of IL-4 and IL-10 in the lungs among all groups (Fig. 8C and D), indicating a steady Th2 cytokine pattern (Fig. 8B).
Increased expression of FLT3L in ARDS lung tissue
The protein expression of FLT3L was measured in normal and ARDS lung tissue at 6 h following LPS challenge. The results demonstrated that the LPS challenge led to a signifi-cantly higher expression of FLT3L in the ARDS lung tissues compared with the control normal lung tissues (Fig. 9).
Discussion
The development of ARDS is characterized by the sequestration of activated neutrophils and monocytes/macrophages, inducing delayed apoptosis and an increased respiratory burst, which results in the devastation of the pulmonary epithelium and disruption of the blood-air barrier (1). The present study described the involvement of pulmonary cDCs in the pathogenesis of ARDS. The results demonstrated that pulmonary cDCs regulated acute lung inflammation and injury in an ARDS model, favoring the Th1 response and enhancing neutrophil infiltration, which may constitute the underlying mechanisms for the contribution of pulmonary cDCs to acute lung inflammation and injury in LPS-induced ARDS.
It has been generally accepted that ARDS primarily represents uncontrolled inflammation of the lung (1,3). Pulmonary cDCs act as sentinels and key elements in the immune network of the lung, and cDCs have recently been reported to modulate the progression of inflammation in several pulmonary inflammatory disorders (5,6); however, their distinctive role in the pathogenesis of ARDS has yet to be elucidated. Therefore, the present study investigated the aggregation and maturation status of pulmonary cDCs during the initial 24 h period of LPS-induced ARDS. Although several studies have reported that pulmonary cDCs aggregate and mature in the case of ARDS (26,32), the present results highlighted that the aggregation and maturation of pulmonary cDCs peaked as early as 6 h following LPS challenge. Both the concentration of TNF-α and IL-6, two indicators of acute lung inflammation, were elevated in parallel with the aggregation and maturation of pulmonary DCs. Additionally, the present results demonstrated that the aggregation and maturation of pulmonary cDCs decreased sharply to a level almost comparable to that of normal control mice just 24 h following LPS challenge, implying that pulmonary cDCs mainly function during the early stage of ARDS. Together, these results suggested that pulmonary cDCs may, at least in part, initiate acute lung inflammation in ARDS.
cDCs have also been reported to manage the progression of inflammation in multiple pulmonary and non-pulmonary diseases (23,33). Consistent with observations from other inflammatory disorders (34), the present study demonstrated that, along with the increased aggregation and maturation of pulmonary cDCs, acute lung inflammation and histopathologic injury were also exacerbated. By contrast, inhibited aggregation and maturation of pulmonary cDCs by lestaurtinib was associated with an improvement in acute lung inflammation and injury. Therefore, the present findings indicated the regulatory role of pulmonary cDCs in the case of ARDS.
Since FLT3 signaling is one of the primary pathways that controls the development and behavior of cDCs, including differentiation, migration, aggregation, maturation and even apoptosis (35), FLT3 signaling was recently employed as a specific and efficient tool for cDC manipulation under several inflammatory conditions (9,13,36,37). The present study also took advantage of the cDC-targeting property of FLT3 signaling in ARDS. As expected, the results revealed that FLT3L pretreatment resulted in significantly increased aggregation and maturation of cDCs, while blocking FLT3 signaling with lestaurtinib inhibited aggregation and maturation of cDCs. These observations suggested that FLT3 signaling may be a promising pathway for the manipulation of cDCs in vivo.
As one of the most important antigen-presenting cells (APCs), cDCs are generally recognized as a bridge linking innate and adaptive immune responses (5). Previous studies have suggested that cDCs determine the ensuing immune response via multiple mechanisms, such as shifting the balance of the Th1/Th2 response, secreting pro-inflammatory cytokines, and affecting innate immune elements (16,38,39). Thus, the present study investigated the mechanisms through which cDCs may affect LPS-induced acute lung inflammation and injury. The present results demonstrated that modulation of FLT3 signaling was associated with altered aggregation and maturation of pulmonary DCs, as well as a shifted the balance of the Th1/Th2 response and ensuing cytokine production. Emerging data also suggest an underlying role of FLT3 signaling in the modulation of the inflammatory process (40,41). Furthermore, in vitro administration of lestaurtinib only decreases the cDC population and activation, but not T cell aggregation or activation (9). Together, these results suggest that FLT3 signaling directly regulates the aggregation and maturation of pulmonary cDCs, which in turn shifts the balance of the Th1/Th2 response and ensuing cytokine production.
Regulating neutrophil infiltration may be another mechanism by which cDCs regulate LPS-induced acute lung inflammation and injury. Neutrophils are the key elements of innate immunity, and neutrophil infiltration serves a critical role in the development of ARDS. Neutrophils are considered to be the first mobilized cellular element in the pathogenesis of ARDS (42,43). However, recent studies have demonstrated that pulmonary cDCs may aggregate before the infiltration of neutrophils (44). In vitro studies have demonstrated that cDCs not only enhance the chemotaxis of neutrophils, but also protect neutrophils from apoptosis (45,46). The results from the present study are consistent with these previous results.
Finally, the present results demonstrated that the expression of FLT3L, a dedicated activator for FLT3 signaling, was higher in ARDS lung tissue compared with normal lung tissue. These findings suggested that the FLT3L-induced activation of FLT3 signaling during ARDS may be protective or self-reparative (44), which provided a rationale for DC-targeting therapy in ARDS.
It may be argued that cDCs may not be the only APCs responsible for immunity or tolerance in the lung. Indeed, plasmacytoid CD11c+CD11b−B220+Gr-1+ DCs (pDCs) have been demonstrated to downregulate the production of inflammatory cytokines in the lung, thus attenuating lung injury in experimental ARDS (26). However, pDCs account for <5% of the total pulmonary DC population and are only found within the bronchial epithelium (5); their effect on the pulmonary immune microenvironment is negligible compared with that of cDCs. However, the distinctive role of pDCs in the pathogenesis of ARDS deserves further investigation.
Of note, the results on CD80 expression on pulmonary cDCs in the present study were unexpected. Neither LPS nor FLT3 signaling altered the cell-surface expression of CD80 in pulmonary cDCs at 6 h following LPS challenge. One possible explanation is that in most APC populations, the peak expression of both costimulatory molecules (CD80 and CD86) occurs at least 18 h following LPS challenge, and CD80 is expressed only inducibly and later than CD86 (47,48). Therefore, the 6 h observation period used in the present study may have been too short to detect changes in CD80 expression.
Another limitation arises from the imbalance of the Th1/Th2 skewed cytokine profiles in the lung. Although the production of IFN-γ and IL-1β varied consistently with the relative expression of T-bet, the concentration was fairly low at 24 h following LPS challenge. Since the strong antigen-presenting activity between DCs and T cells in draining lymph nodes occurs at least 24 h after insult, it is reasonable that the concentration of IFN-γ and IL-1β in the lung fluctuated in the low range at 24 h after LPS challenge (49). In addition, pulmonary IL-4 and IL-10 exhibited comparable concentrations, which were much higher than those of IFN-γ and IL-1β. Previous studies have proposed that under steady-state conditions, an inherently Th2-biased response predominates in lung parenchyma, providing a counteraction to potentially tissue-damaging Th1 responses induced by innocuous inhaled antigens (5). The increased concentrations of IL-4 and IL-10 may thus reflect the inherently Th2-biased response.
In conclusion, the present results highlighted that pulmonary cDCs regulated acute lung inflammation and injury in LPS-induced ARDS and revealed that pulmonary cDCs modulated LPS-induced acute lung inflammation and injury through the manipulation of neutrophil infiltration and balance of the Th1/Th2 response. The present study demonstrated that inhibition of FLT3 signaling by lestaurtinib attenuated acute lung injury, providing a novel perspective for the prevention and treatment of ARDS. However, clinical trials are required for the confirmation and translation of the present research results in patients.
Acknowledgments
Not applicable.
Funding
The present study was supported by the National Natural Science Foundation of China (grant no. 81400054), the Natural Science Foundation of Jiangsu Province (grant no. BK20140122), the Talented Youth Program of Jiangsu Province (grant no. QNRC2017179) and the 333 High Level Talent Training Project of Jiangsu Province (grant no. 2018III-0299).
Availability of data and materials
All data generated or analyzed during this study are included in this article.
Authors' contributions
LL and LD conceived and designed the study. LL, LD, DZ and FG performed the experiments, analyzed the data, and interpreted the results. LD, FG and JY generated the figures and drafted the manuscript. All authors have read and approved the final manuscript.
Ethics approval and consent to participate
The experimental protocols were approved by the Institutional Animal Care and Use Committee at Nanjing Medical University (approval no. LLSP201607155). All animal experiments were conducted in accordance with the National Institutes of Health Guidance for the Care and Use of Laboratory Animals.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
- 1.Thompson BT, Chambers RC, Liu KD. Acute respiratory distress syndrome. N Engl J Med. 2017;377:562–572. doi: 10.1056/NEJMra1608077. [DOI] [PubMed] [Google Scholar]
- 2.Fan E, Brodie D, Slutsky AS. Acute respiratory distress syndrome: Advances in diagnosis and treatment. JAMA. 2018;319:698–710. doi: 10.1001/jama.2017.21907. [DOI] [PubMed] [Google Scholar]
- 3.Reilly JP, Christie JD, Meyer NJ. Fifty years of research in ARDS. Genomic contributions and opportunities. Am J Respir Crit Care Med. 2017;196:1113–1121. doi: 10.1164/rccm.201702-0405CP. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.ARDS Definition Task Force. Ranieri VM, Rubenfeld GD, Thompson BT, Ferguson ND, Caldwell E, Fan E, Camporota L, Slutsky AS. Acute respiratory distress syndrome: The Berlin Definition. JAMA. 2012;307:2526–2533. doi: 10.1001/jama.2012.5669. [DOI] [PubMed] [Google Scholar]
- 5.Kumar V. Dendritic cells in sepsis: Potential immunoregulatory cells with therapeutic potential. Mol Immunol. 2018;101:615–626. doi: 10.1016/j.molimm.2018.07.007. [DOI] [PubMed] [Google Scholar]
- 6.Lambrecht BN, Hammad H. The role of dendritic and epithelial cells as master regulators of allergic airway inflammation. Lancet. 2010;376:835–843. doi: 10.1016/S0140-6736(10)61226-3. [DOI] [PubMed] [Google Scholar]
- 7.Buttignol M, Pires-Neto RC, Rossi E Silva RC, Albino MB, Dolhnikoff M, Mauad T. Airway and parenchyma immune cells in influenza A(H1N1)pdm09 viral and non-viral diffuse alveolar damage. Respir Res. 2017;18:147. doi: 10.1186/s12931-017-0630-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.von Wulffen W, Steinmueller M, Herold S, Marsh LM, Bulau P, Seeger W, Welte T, Lohmeyer J, Maus UA. Lung dendritic cells elicited by Fms-like tyrosine 3-kinase ligand amplify the lung inflammatory response to lipopolysaccharide. Am J Respir Crit Care Med. 2007;176:892–901. doi: 10.1164/rccm.200608-1068OC. [DOI] [PubMed] [Google Scholar]
- 9.Whartenby KA, Calabresi PA, McCadden E, Nguyen B, Kardian D, Wang T, Mosse C, Pardoll DM, Small D. Inhibition of FLT3 signaling targets DCs to ameliorate autoimmune disease. Proc Natl Acad Sci USA. 2005;102:16741–16746. doi: 10.1073/pnas.0506088102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Lau CM, Nish SA, Yogev N, Waisman A, Reiner SL, Reizis B. Leukemia-associated activating mutation of Flt3 expands dendritic cells and alters T cell responses. J Exp Med. 2016;213:415–431. doi: 10.1084/jem.20150642. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Kim SW, Choi SM, Choo YS, Kim IK, Song BW, Kim HS. Flt3 ligand induces monocyte proliferation and enhances the function of monocyte-derived dendritic cells in vitro. J Cell Physiol. 2015;230:1740–1749. doi: 10.1002/jcp.24824. [DOI] [PubMed] [Google Scholar]
- 12.Sato T, Yang X, Knapper S, White P, Smith BD, Galkin S, Small D, Burnett A, Levis M. FLT3 ligand impedes the efficacy of FLT3 inhibitors in vitro and in vivo. Blood. 2011;117:3286–3293. doi: 10.1182/blood-2010-01-266742. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Dong L, He H, Liu J, Liu L, Yang Y, Qiu H. The control effects of FLT3 signaling-dependent pulmonary conventional dendritic cells on the initiation of acute lung inflammation response to lipopolysaccharide induced acute lung injury in mice. Zhonghua Ji Zhen Yi Xue Za Zhi. 2016;25:1412–1417. In Chinese. [Google Scholar]
- 14.Mellman I. Dendritic cells: Master regulators of the immune response. Cancer Immunol Res. 2013;1:145–149. doi: 10.1158/2326-6066.CIR-13-0102. [DOI] [PubMed] [Google Scholar]
- 15.Shao Z, Bharadwaj AS, McGee HS, Makinde TO, Agrawal DK. Fms-like tyrosine kinase 3 ligand increases a lung DC subset with regulatory properties in allergic airway inflammation. J Allergy Clin Immunol. 2009;123:917–924.e2. doi: 10.1016/j.jaci.2009.01.052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Ludwig IS, Geijtenbeek TB, van Kooyk Y. Two way communication between neutrophils and dendritic cells. Curr Opin Pharmacol. 2006;6:408–413. doi: 10.1016/j.coph.2006.03.009. [DOI] [PubMed] [Google Scholar]
- 17.Dieker J, Tel J, Pieterse E, Thielen A, Rother N, Bakker M, Fransen J, Dijkman HB, Berden JH, de Vries JM, et al. Circulating apoptotic microparticles in systemic lupus erythematosus patients drive the activation of dendritic cell subsets and prime neutrophils for NETosis. Arthritis Rheumatol. 2016;68:462–472. doi: 10.1002/art.39417. [DOI] [PubMed] [Google Scholar]
- 18.Baudiß K, de Paula Vieira R, Cicko S, Ayata K, Hossfeld M, Ehrat N, Gómez-Muñoz A, Eltzschig HK, Idzko M. C1P attenuates lipopolysaccharide-induced acute lung injury by preventing NF-κB activation in neutrophils. J Immunol. 2016;196:2319–2326. doi: 10.4049/jimmunol.1402681. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.McWilliam AS, Nelson D, Thomas JA, Holt PG. Rapid dendritic cell recruitment is a hallmark of the acute inflammatory response at mucosal surfaces. J Exp Med. 1994;179:1331–1336. doi: 10.1084/jem.179.4.1331. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Olguín-Alor R, de la Fuente-Granada M, Bonifaz LC, Antonio-Herrera L, García-Zepeda EA, Soldevila G. A key role for inhibins in dendritic cell maturation and function. PLoS One. 2016;11:e0167813. doi: 10.1371/journal.pone.0167813. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Schlosser K, Taha M, Deng Y, McIntyre LA, Mei SHJ, Stewart DJ. High circulating angiopoietin-2 levels exacerbate pulmonary inflammation but not vascular leak or mortality in endotoxin-induced lung injury in mice. Thorax. 2018;73:248–261. doi: 10.1136/thoraxjnl-2017-210413. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Aggarwal NR, King LS, D'Alessio FR. Diverse macrophage populations mediate acute lung inflammation and resolution. Am J Physiol Lung Cell Mol Physiol. 2014;306:L709–L725. doi: 10.1152/ajplung.00341.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Wen H, Hogaboam CM, Gauldie J, Kunkel SL. Severe sepsis exacerbates cell-mediated immunity in the lung due to an altered dendritic cell cytokine profile. Am J Pathol. 2006;168:1940–1950. doi: 10.2353/ajpath.2006.051155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Smit JJ, Lindell DM, Boon L, Kool M, Lambrecht BN, Lukacs NW. The balance between plasmacytoid DC versus conventional DC determines pulmonary immunity to virus infections. PLoS One. 2008;3:e1720. doi: 10.1371/journal.pone.0001720. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Vermaelen K, Pauwel R. Accurate and simple discrimination of mouse pulmonary dendritic cell and macrophage populations by flow cytometry: Methodology and new insights. Cytometry A. 2004;61:170–177. doi: 10.1002/cyto.a.20064. [DOI] [PubMed] [Google Scholar]
- 26.Venet F, Huang X, Chung CS, Chen Y, Ayala A. Plasmacytoid dendritic cells control lung inflammation and monocyte recruitment in indirect acute lung injury in mice. Am J Pathol. 2010;176:764–773. doi: 10.2353/ajpath.2010.090765. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Masten BJ, Lipscomb MF. Comparison of lung dendritic cells and B cells in stimulating naive antigen-specific T cells. J Immunol. 1999;162:1310–1317. [PubMed] [Google Scholar]
- 28.Liu H, Wu J, Yao JY, Wang H, Li ST. The role of oxidative stress in decreased acetylcholinesterase activity at the neuromuscular junction of the diaphragm during sepsis. Oxid Med Cell Longev. 2017;2017:9718615. doi: 10.1155/2017/9718615. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Li L, Dong L, Wang Y, Zhang X, Yan J. Lats1/2-mediated alteration of hippo signaling pathway regulates the fate of bone marrow-derived mesenchymal stem cells. Biomed Res Int. 2018;2018:4387932. doi: 10.1155/2018/4387932. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Li L, Dong L, Zhang J, Gao F, Hui J, Yan J. Mesenchymal stem cells with downregulated Hippo signaling attenuate lung injury in mice with lipopolysaccharide-induced acute respiratory distress syndrome. Int J Mol Med. 2019;43:1241–1252. doi: 10.3892/ijmm.2018.4047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Smith KM, Mrozek JD, Simonton SC, Bing DR, Meyers PA, Connett JE, Mammel MC. Prolonged partial liquid ventilation using conventional and high-frequency ventilatory techniques: Gas exchange and lung pathology in an animal model of respiratory distress syndrome. Crit Care Med. 1997;25:1888–1897. doi: 10.1097/00003246-199711000-00030. [DOI] [PubMed] [Google Scholar]
- 32.Hubbell JA, Thomas SN, Swartz MA. Materials engineering for immunomodulation. Nature. 2009;462:449–460. doi: 10.1038/nature08604. [DOI] [PubMed] [Google Scholar]
- 33.Lambrecht BN, Salomon B, Klatzmann D, Pauwels RA. Dendritic cells are required for the development of chronic eosinophilic airway inflammation in response to inhaled antigen in sensitized mice. J Immunol. 1998;160:4090–4097. [PubMed] [Google Scholar]
- 34.Riccardi F, Della Porta MG, Rovati B, Casazza A, Radolovich D, De Amici M, Danova M, Langer M. Flow cytometric analysis of peripheral blood dendritic cells in patients with severe sepsis. Cytometry B Clin Cytom. 2011;80:14–21. doi: 10.1002/cyto.b.20540. [DOI] [PubMed] [Google Scholar]
- 35.Schlitzer A, Zhang W, Song M, Ma X. Recent advances in understanding dendritic cell development, classification, and phenotype. F1000Res. 2018;7 doi: 10.12688/f1000research.14793.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Agrawal DK, Hopfenspirger MT, Chavez J, Talmadge JE. Flt3 ligand: A novel cytokine prevents allergic asthma in a mouse model. Int Immunopharmacol. 2001;1:2081–2089. doi: 10.1016/S1567-5769(01)00122-9. [DOI] [PubMed] [Google Scholar]
- 37.Bohannon J, Fang G, Cui W, Sherwood E, Toliver-Kinsky T. Fms-like tyrosine kinase-3 ligand alters antigen-specific responses to infections after severe burn injury. Shock. 2009;32:435–441. doi: 10.1097/SHK.0b013e31819e2937. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Jankovic D, Liu Z, Gause WC. Th1- and Th2-cell commitment during infectious disease: Asymmetry in divergent pathways. Trends Immunol. 2011;22:450–457. doi: 10.1016/S1471-4906(01)01975-5. [DOI] [PubMed] [Google Scholar]
- 39.Abe K, Nguyen KP, Fine SD, Mo JH, Shen C, Shenouda S, Corr M, Jung S, Lee J, Eckmann L, Raz E. Conventional dendritic cells regulate the outcome of colonic inflammation independently of T cells. Proc Natl Acad Sci USA. 2007;104:17022–17027. doi: 10.1073/pnas.0708469104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Beshara R, Sencio V, Soulard D, Barthélémy A, Fontaine J, Pinteau T, Deruyter L, Ismail MB, Paget C, Sirard JC, et al. Alteration of Flt3-Ligand-dependent de novo generation of conventional dendritic cells during influenza infection contributes to respiratory bacterial superinfection. PLoS Pathog. 2018;14:e1007360. doi: 10.1371/journal.ppat.1007360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Madan B, Goh KC, Hart S, William AD, Jayaraman R, Ethirajulu K, Dymock BW, Wood JM. SB1578, a novel inhibitor of JAK2, FLT3, and c-Fms for the treatment of rheumatoid arthritis. J Immunol. 2012;189:4123–4134. doi: 10.4049/jimmunol.1200675. [DOI] [PubMed] [Google Scholar]
- 42.Kangelaris KN, Prakash A, Liu KD, Aouizerat B, Woodruff PG, Erle DJ, Rogers A, Seeley EJ, Chu J, Liu T, et al. Increased expression of neutrophil-related genes in patients with early sepsis-induced ARDS. Am J Physiol Lung Cell Mol Physiol. 2015;308:L1102–L1113. doi: 10.1152/ajplung.00380.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Li H, Zhou X, Tan H, Hu Y, Zhang L, Liu S, Dai M, Li Y, Li Q, Mao Z, et al. Neutrophil extracellular traps contribute to the pathogenesis of acid-aspiration-induced ALI/ARDS. Oncotarget. 2017;9:1772–1784. doi: 10.18632/oncotarget.22744. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Udayanga KG, Nakamura Y, Nakahashi-Oda C, Shibuya A. Immunoreceptor CD300a on mast cells and dendritic cells regulates neutrophil recruitment in a murine model of sepsis. Int Immunol. 2016;28:611–615. doi: 10.1093/intimm/dxw047. [DOI] [PubMed] [Google Scholar]
- 45.Sallusto F, Palermo B, Lenig D, Miettinen M, Matikainen S, Julkunen I, Forster R, Burgstahler R, Lipp M, Lanzavecchia A. Distinct patterns and kinetics of chemokine production regulate dendritic cell function. Eur J Immunol. 1999;29:1617–1625. doi: 10.1002/(SICI)1521-4141(199905)29:05<1617::AID-IMMU1617>3.0.CO;2-3. [DOI] [PubMed] [Google Scholar]
- 46.Dransfield I, Rossi AG. Granulocyte apoptosis: Who would work with a 'real' inflammatory cell? Biochem Soc Trans. 2004;32:447–451. doi: 10.1042/bst0320447. [DOI] [PubMed] [Google Scholar]
- 47.Sharpe AH, Freeman GJ. The B7-CD28 superfamily. Nat Rev Immunol. 2002;2:116–126. doi: 10.1038/nri727. [DOI] [PubMed] [Google Scholar]
- 48.Hathcock KS, Laszlo G, Pucillo C, Linsley P, Hodes RJ. Comparative analysis of B7-1 and B7-2 costimulatory ligands: Expression and function. J Exp Med. 1994;180:631–640. doi: 10.1084/jem.180.2.631. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Xia W, Pinto CE, Kradin RL. The antigen-presenting activities of Ia+ dendritic cells shift dynamically from lung to lymph node after an airway challenge with soluble antigen. J Exp Med. 1995;181:1275–1283. doi: 10.1084/jem.181.4.1275. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All data generated or analyzed during this study are included in this article.