Abstract
Objective
Mannan-binding lectin (MBL), a soluble pattern recognition molecule of the innate immune system, is primarily synthesized in the liver and secreted into the circulation. Low serum level of MBL has been reported to be related to an increased risk of lung diseases. Herein, we aimed to investigate the function of MBL in silicosis-associated pulmonary inflammation.
Methods
Serum collected from silicosis patients was tested for correlation between serum MBL levels and Th17 immunity. In vitro studies were performed to further demonstrated the effect of MBL on Th17 polarization. Silica was intratracheally injected in wild type (WT) or MBL-deficient (MBL–/–) mice to induce silicosis-associated lung inflammation and fibrosis. Th17 response was evaluated to explore the effect of MBL on silicosis in vivo.
Results
Silicosis patients with high serum MBL levels displayed ameliorative lung function. We demonstrated that serum MBL levels negatively correlated to Th17 cell frequency in silicosis patients. MBL protein markedly reduced expression of IL-17 but enhanced expression of Foxp3 in CD4+ T cells in vitro when subjected to Th17 or Treg polarizing conditions, respectively. The presence of MBL during Th17 cell polarization significantly limited aryl hydrocarbon receptor (AhR) expression and suppressed the signal transducer and activator of transcription 3 (STAT3) phosphorylation. Treatment with the AhR antagonist abolished the effect of MBL on Th17 response. Strikingly, MBL directly bound to AhR and affected its nuclear translocation. Furthermore, MBL–/– mice displayed elevated Th17 cell levels compared with WT mice in response to the silica challenge. The CD4+ T lymphocytes from silica-administrated MBL–/– mice exhibited more AhR expression than the wild-type counterparts.
Conclusion
Our study suggested that MBL limited the Th17 immunity via controlling the AhR/STAT3 pathway, thus providing new insight into silicosis and other inflammatory diseases in patients with MBL deficiency.
Keywords: silicosis, mannan-binding lectin, aryl hydrocarbon receptor, signal transducer and activator of transcription 3, Th17 cell
Introduction
Silica is the major component of respirable particles, and over time inhalation may cause silicosis, a fatal occupational lung disease characterized by lung inflammation and irreversible fibrosis.1,2 Silicosis has become one of the most important occupational diseases worldwide in past decades. Although lung transplantation may be offered to a minority of patients, there is still no specific treatment for silicosis to halt or reverse the disease progression.3 The Th17 cell is one of the subtypes of T helper (Th) cells and has been reported to take part in the progression of pulmonary fibrosis.4 Previous studies determined that Th17 cells contributed to the inflammatory and fibrotic responses in a hypersensitivity pneumonitis mouse model.5,6 Additionally, infiltrated Th17 cells have been detected in the bronchial submucosa of patients with cystic fibrosis (CF).7 Notably, Th17 response significantly raised during the inflammatory phase of silicosis.8 Besides, declined neutrophil infiltration and attenuated silica-induced lung inflammation and fibrosis progression were observed in a mice model of experimental silicosis when IL-17a was neutralized.9
The Aryl hydrocarbon receptor (AhR) is a ligand-dependent transcription factor associated with cellular responses to endogenous and exogenous stimuli. Increasing evidence suggested that AhR acts as an essential modulator for Th17 cell differentiation. AhR is highly expressed in Th17 cells while slightly expressed in Treg cells and undetectable in Th1 or Th2 cells.10 It is worth mentioning that CD4+ T cells isolated from AhR−/− mice exhibited declined IL-17 production compared with WT counterparts under Th17 polarization conditions. Besides, tryptophan metabolite 6-formylindolo[3,2-b] carbazole (FICZ), a high-affinity AhR endogenous ligand, could enhance Th17 development and functions.11 Notably, FICZ aggravated the progression of experimental autoimmune encephalomyelitis and collagen-induced arthritis, characterized as Th17 cell-related autoimmune diseases.10,12 Similarly, PM2.5 promoted Th17 cell differentiation and aggravated asthma in an AhR-dependent manner.13 Jaligama et al observed that radical containing combustion-derived particulate matter induced Th17 response in the lung tissue through regulation of AhR.14
Mannan binding lectin (MBL) is a prototypic pattern recognition molecule mainly produced in the liver and can activate the lectin complement pathway.15 Although MBL has been considered to exert an essential effect on the lectin complement pathway for decades, it regulates the immune response in a complement-independent way. Dendritic cells (DCs) isolated from MBL-deficient cases exhibited boosted pro-inflammatory cytokine expression in the condition of microbial stimulation compared to those from healthy counterparts.16 Our previous study demonstrated that MBL regulated the inflammatory cytokine production and cytotoxicity of peripheral NK cells through direct interaction.17 Similarly, MBL inhibits the production of pro-inflammatory cytokines by monocytes during innate immune response.18,19 Interestingly, we demonstrated that serum MBL levels negatively correlated to the frequency of activated T cells in silicosis patients. In vitro studies proved that MBL interacted with T cells and suppressed T cells activation,20 which indicated the regulatory role of MBL in T cell function.
In this study, we purposed to study the function of MBL in the pathogenesis of silicosis and whether modulation of Th17 immunity is involved. It is noteworthy that we demonstrated that silicosis patients with high serum levels of MBL exhibited improved lung function compared with the patients with low serum MBL levels. In vitro study revealed that MBL inhibited the Th17 cell differentiation by suppressing the AhR/STAT3 axis. MBL-deficient mice generated elevated Th17 cells and reduced levels of Tregs compared with wild-type mice in response to the silica challenge. In summary, our findings provide evidence that MBL might have potential modulatory effects on Th17 immunity, which offers new insight into the disease mechanisms of silicosis and other Th17-related diseases, especially in patients with MBL deficiency.
Materials and Methods
Clinical Samples
Clinical data were collected at Guangdong Province Hospital for Occupational Disease. The diagnosis of silicosis was identified based on the Chinese National Diagnostic Criteria for pneumoconiosis (GBZ 70–2009). The study was approved by the Guangdong Province Hospital for Occupational Disease Prevention and Treatment (GDHOD MEC 2021001), and complied with the Declaration of Helsinki. Each participant was informed consent for taking part in the study before collecting the blood.
Animals
WT C57BL/6J mice were purchased from the Laboratory Animal Center of Southern Medical University (Guangzhou, China). MBL-deficient (MBL–/–) mice were obtained from the Jackson Laboratory (Bar Harbor, ME, USA). Male mice were included and housed under a 12 h light/dark cycle condition at a constant temperature (19–23°C) and (55±10%) humidity, fed with commercial diet, and had free access to food and water. All animal experiments were approved by the Welfare and Ethical Committee for Experimental Animal Care of Southern Medical University (2016011). Animal work had taken place in Southern Medical University, department of immunology, according to the National Institute of Health Guideline for the Care and Use of Laboratory Animals. All mice were anaesthetized or euthanized with isoflurane.
Experimental Silicosis Mice Model
5 mg silica (S5631, Sigma-Aldrich, St. Louis, MO, USA) dissolved in 50μL sterile PBS were intratracheally injected in WT or MBL–/– mice. Mice were sacrificed 3 days after silica injection for the inflammation model and sacrificed at 35 days for the fibrosis model. Lung tissues were lavaged 3 times with 0.5 mL PBS for bronchoalveolar lavage fluid (BALF) collection. BALF was centrifugated at 450×g for 5 min at 4°C. Then, the supernatant was kept for total protein measurement, and the precipitants were collected for cell count detection and flow cytometry assay (FCM) assay. Hilar lymph nodes (HLN) were harvested for FCM assay.
Differentiation of Th17 Cell
Peripheral blood mononuclear cells (PBMCs) were isolated from whole blood obtained from healthy donors by Ficoll density gradient centrifugation. Naïve CD4+ T cells were purified from PBMCs by immunomagnetic selection using the naïve CD4+ T cell isolation kit (130–094-131, Miltenyi Biotec, Bergisch Gladbach, Germany). For Th17 cell differentiation assay, naïve CD4+ T cells were cultured in 96-well U-bottomed plates (2×105/well) coated with 1μg/mL anti-CD3 mAb (MA1-10175, Thermo Fisher Scientific, Inc) and cultured in 1μg/mL anti-CD28 mAb (MA1-10166, Thermo Fisher Scientific, Inc), 20ng/mL IL-6 (200–06, peprotech), 50ng/mL IL-23 (200–23, peprotech), 10ng/mL IL-1β (200–01B, peprotech), 1ng/mL TGF-β (100–21, peprotech), 5μg/mL anti-IFN-γ (16–7318-85, Thermo Fisher Scientific, Inc) and 5μg/mL anti-IL-4 (16–7048-85, Thermo Fisher Scientific, Inc) condition for 7 days. For Treg cell differentiation assay, naïve CD4+ T cells were cultured in 96-well U-bottomed plates (2×105/well) coated with 1μg/mL anti-CD3 mAb and cultured in 1μg/mL anti-CD28 mAb, 1ng/mL TGF-β, 5μg/mL anti-IFN-γ and 5μg/mL anti-IL-4 condition for 7 days. MBL protein was prepared as previously described.20 In some cases, cells were pretreated 5μg/mL MBL, 10μM Sc144 (S7124, Selleck Chemicals), or 1μM CH-223191 (S7711, Selleck Chemicals) for 2 h. For AhR activation assay, CD4+ T cells were treated with 200nM FICZ (SML1489, Sigma-Aldrich; Merck KGaA) for 6 h.
RT-qPCR Analysis
Cells were combined with 1 mL TRIzol® (Thermo Fisher Scientific, Inc), and total RNA was extracted based on the manufacturer’s instruction. Then, 1000 ng RNA was synthesized into cDNA at 50°C for 10 min and 85°C for 5 sec. SYBR Green Real-Time PCR Master Mix (cat. no. A46112; Applied Biosystems; Thermo Fisher Scientific, Inc) was used on an ABI Prism 7500 Sequence Detection System (Applied Biosystems; Thermo Fisher Scientific, Inc), based on the following conditions: Initial denaturation at 94°C for 30 sec, followed by 40 cycles of denaturation at 94°C for 5 sec, and extension at 60°C for 30 sec. The expression of the target genes was normalized to GAPDH gene expression and calculated using the 2−∆∆CT method. The primer sequences involved in this study are shown in Table 1.
Table 1.
Forward Primer (5’-3’) | Reverse Primer (5’-3’) | |
---|---|---|
RORC(H) | GTGGGGACAAGTCGTCTGG | AGTGCTGGCATCGGTTTCG |
Foxp3(H) | GTGGCCCGGATGTGAGAAG | GGAGCCCTTGTCGGATGATG |
IL-17a(H) | TCCCACGAAATCCAGGATGC | GGATGTTCAGGTTGACCATCAC |
IL-21(H) | TAGAGACAAACTGTGAGTGGTCA | GGGCATGTTAGTCTGTGTTTCTG |
TGF-β(H) | GGCCAGATCCTGTCCAAGC | GTGGGTTTCCACCATTAGCAC |
IL-10(H) | GACTTTAAGGGTTACCTGGGTTG | TCACATGCGCCTTGATGTCTG |
AhR(H) | CTTAGGCTCAGCGTCAGTTAC | CGTTTCTTTCAGTAGGGGAGGAT |
CYP1A1(H) | CACCCTCATCAGTAATGGTCAGA | AACGTGCTTATCAGGACCTCA |
CYP1B1(H) | ACGTACCGGCCACTATCACT | CTCCCCACGACCTGATCCA |
CYP1A2(H) | CTTCGCTACCTGCCTAACCC | GACTGTGTCAAATCCTGCTCC |
GAPDH(H) | CTGGGCTACACTGAGCACC | AAGTGGTCGTTGAGGGCAATG |
RORC(M) | TCCACTACGGGGTTATCACCT | AGTAGGCCACATTACACTGCT |
Foxp3(M) | CCCATCCCCAGGAGTCTTG | ACCATGACTAGGGGCACTGTA |
IL-17a(M) | TTTAACTCCCTTGGCGCAAAA | CTTTCCCTCCGCATTGACAC |
TGF-β(M) | CTCCCGTGGCTTCTAGTGC | GCCTTAGTTTGGACAGGATCTG |
IL-10(M) | GCTCTTACTGACTGGCATGAG | CGCAGCTCTAGGAGCATGTG |
IL-6(M) | CCAAGAGGTGAGTGCTTCCC | CTGTTGTTCAGACTCTCTCCCT |
TNF-α(M) | GACGTGGAACTGGCAGAAGAG | TTGGTGGTTTGTGAGTGTGAG |
GAPDH(M) | AGGTCGGTGTGAACGGATTTG | TGTAGACCATGTAGTTGAGGTCA |
Flow Cytometry
Cells were harvested and stained with indicated antibodies at 4°C in the dark for 30 min. LIVE/DEAD Fixable Violet Dead Cell Stain Kit (L34966, Thermo Fisher Scientific, Inc) was used to identify live cells. For intracellular protein staining, cells were fixed and permeabilized by Fixation/Permeabilization kit (88–8824-00, Thermo Fisher Scientific, Inc). For transcription factor staining, cells were fixed and permeabilized by Foxp3/Transcription Factor Fixation/Permeabilization Concentrate and Diluent kit (00–5521-00, Thermo Fisher Scientific, Inc). For phosphor-STAT3 staining, cells were fixed by ice methanol before staining. Cell suspensions from mice tissues were treated with Cell Stimulation Cocktail (plus protein transport inhibitors) (500×) (00–4975-93, Thermo Fisher Scientific, Inc) before intracellular cytokine staining. CD4+IL-17a+ cells were identified as Th17 cell in PBMCs and CD4+CD25+Foxp3+ cells were identified as Treg cell. Antibodies involved in this subsection were listed below: mouse anti-human/mouse CD4 monoclonal antibody (11–0049-42, Thermo Fisher Scientific, Inc), mouse anti-human IL-17a monoclonal antibody (12–7178-42, Thermo Fisher Scientific, Inc), mouse anti-human Foxp3 monoclonal antibody (17–4777-42, Thermo Fisher Scientific, Inc), mouse anti-human CD4/CD25 antibody cocktail (22–0425-71, Thermo Fisher Scientific, Inc), rat anti-human/mouse RORγ monoclonal antibody (12–6988-82, Thermo Fisher Scientific, Inc), rat anti-human/mouse IL-17a monoclonal antibody (12–7177-81, Thermo Fisher Scientific, Inc), rat anti-mouse CD25 monoclonal antibody (56–0251-82, Thermo Fisher Scientific, Inc), mouse- anti-human/mouse phosphor-STAT3 (TYR705)(48–9033-42, Thermo Fisher Scientific, Inc), mouse anti-human/mouse AhR (67785-1-Ig, Proteintech, Chicago, USA), Alexa Fluor® 488 goat anti-mouse IgG antibody (405319, Biolegend, San Diego, USA). Cells were analyzed using the FACS LSRFortessa™ flow cytometer (BD Biosciences) with BD FACSDiva™ software (version 8.0.1; BD Biosciences).
Enzyme-Linked Immunosorbent Assay (ELISA)
Serum from silicosis patients or supernatants from culture media were collected. The cytokine levels were assessed using commercial ELISA kits purchased from Thermo Fisher Scientific, Inc. The ELISA kits involved in this report were listed as follows: Human MBL (EHMBL2X10), human IL-17a (BMS2017), human IL-21 (BMS2043), human TGF-β (BMS249-4), human IL-10 (BMS215-2), mouse IL-17a (BMS6001), mouse IL-6 (BMS603-2), mouse TNF-α (BMS607-3), mouse TGF-β (BMS608-4), mouse IL-10 (BMS614INST). Standard curves were established by recombinant cytokines included in ELISA kits.
Immunoprecipitation and Western Blot
Whole-cell lysates were incubated with 1μg antibodies at 4°C overnight and treated with protein A/G agarose (Santa Cruz Biotechnology) for another 2 h at 4°C. SDS-PAGE was used to detect the eluted immunoprecipitates. For Western blot analysis, protein samples were separated on SDS-PAGE and then transferred onto polyvinylidene fluoride membranes. The membranes were blocked by 5% BSA for 1 h at room temperature and then incubated with indicated primary antibodies at 4°C overnight. The membranes were stained with HRP-conjugated secondary antibody (goat anti-rabbit, S0001, Affinity Biosciences) at room temperature for another 1 h. Measurement of the target protein was conducted with ECL substrate (1705062, Bio-Rad Laboratories, Inc). For nuclear protein isolation, a Nuclear and Cytoplasmic Protein Extraction Kit was used (P0027, Beyotime Biotechnology, Shanghai, China). Antibodies involved in this subsection were listed below: mouse anti-human MBL monoclonal antibody (ab26277, Abcam, USA), AhR (67785-1-Ig, Proteintech, Chicago, USA), GAPDH (5174, Cell Signaling Technology, USA), rabbit anti-human Histone H3 polyclonal antibody (AF0863, Ancaster, ON, Canada).
Immunofluorescence
Cells were fixed with 4% paraformaldehyde for 20 min and permeabilized with 0.1% Triton X-100 for another 5 min at room temperature. After blocking for 1 h, cells were stained with anti-AhR and anti-MBL (ab23457, Abcam, USA) antibody, respectively, overnight at 4°C. Subsequently, the slides were incubated with Alexa Fluor® 488 goat anti-mouse IgG antibody (405319, Biolegend, San Diego, USA) and PE Donkey anti-rabbit IgG (406421, Biolegend, San Diego, USA) antibodies for 1 h at room temperature.
Histology Analysis
Lung tissues were removed and collected in 1 mL 4% paraformaldehyde for 24 h at room temperature. The sections were stained with hematoxylin and eosin (H&E) to observe morphological changes. Hydroxyproline was detected using a hydroxyproline detection kit (MAK008-1KT, Sigma-Aldrich, Merck KGaA). The Ashcroft method21 was used to estimate lung fibrosis as follows: grade 0, normal lung; grade 1, minimal fibrous thickening of the alveolar or bronchiolar walls; grade 3, moderate thickening of the walls without apparent damage to lung architecture; grade 5, increased fibrosis with actual damage to the lung structure and the formation of fibrous bands or small fibrous masses; grade 7, severe distortion of the structure and large fibrous areas; grade 8, total fibrous obliteration of fields.
Statistical Analysis
Statistical analysis was performed using SPSS 12.0 (SPSS, Inc.). The data are presented as the mean ± SD. An unpaired Student’s t-test was used to compare between two groups. Pearson’s correlation test was used to estimate the correlation between two factors. P < 0.05 was considered to indicate a statistically significant difference.
Results
MBL Level Positively Correlated with Lung Function and Th17/Treg Cell Frequency in Silicosis Patients
To investigate the potential effect of MBL on silicosis, serum from silicosis patients was obtained and tested for MBL levels. Interestingly, serum MBL levels were positively correlated to DLCO%, TLC%, VC%, FEV1/FVC%, PEF%, FEF50%, FEF25%, and MVV% in silicosis patients (Figure 1A). Consistently, patients with ≥80% DLCO or TLC value exhibited high serum MBL levels than patients with <80% DLCO or TLC value. Similarly, patients with normal pulmonary ventilation and small airway function showed increased serum MBL levels compared to patients with abnormal pulmonary ventilation and small airway function (Figure 1B). Since Th17 cells contributed to the development of silicosis,22,23 we then tried to figure out whether MBL serum level was correlated to the frequency of Th17 cells. The results showed elevated Th17 cell frequency and RORγt expression in peripheral CD4+ T lymphocytes obtained from silicosis patients compared to those from healthy controls. Meanwhile, declined Treg cell frequency and Foxp3 expression were found in patients with silicosis compared with healthy individuals (Figure 1C and D). Besides, serum MBL levels were negatively correlated to Th17 cell frequency and RORγt expression, while Treg cell frequency and Foxp3 expression positively correlated to serum MBL levels (Figure 1E and F). Taken together, these data indicate that serum MBL levels positively correlated to the lung function of silicosis patients, and this phenomenon may involve the regulation of Th17 and Treg cells.
MBL Inhibits Th17 Cells Polarization in vitro
To determine whether MBL regulated Th17 and Treg cell polarization, naïve CD4+ T lymphocytes were sorted from human PBMCs and cultured in Th17 or Treg cell differentiation conditions, respectively. The flow cytometry assay demonstrated that MBL inhibited IL-17a and RORγt expression under the Th17 polarization condition (Figure 2A). Accordingly, lower IL-17a and IL-21 levels were detected in the culture supernatants from the Th17 culture condition in the presence of MBL protein than those from controls (Figure 2B). Moreover, MBL significantly suppressed RORγt, IL-17a, and IL-21 expression at the transcriptional level (Figure 2C). However, MBL treatment promoted Foxp3 expression in CD4+ T cells under Treg polarization (Figure 2D). In addition, elevated TGF-β and IL-10 production was found in the culture medium obtained from Treg-polarized cells treated with MBL protein compared to those from control cells (Figure 2E). Similarly, MBL exposure promoted Foxp3, TGF-β, and IL-10 mRNA expression during Treg cell differentiation (Figure 2F). Collectively, these data suggest that MBL inhibited Th17 polarization but promoted Treg differentiation in vitro.
MBL Limited AhR Expression and Translocation in CD4+ T Lymphocytes
It has been reported that AhR activation is essential for Th17 cell polarization.10,11 We, therefore, attempted to discover whether MBL affected AhR signaling during Th17 differentiation. The flow cytometry and Western blot assay displayed attenuated AhR expression in CD4+ T lymphocytes treated with MBL during Th17 polarization (Figure 3A and B). Notably, AhR expression is regulated by STAT3 signaling, and activated AhR may also induce STAT3 phosphorylation.24,25 Interestingly, the results showed that MBL treatment significantly limited STAT3 phosphorylation in CD4+ T lymphocytes during Th17 polarization (Figure 3C). Besides, inhibition of STAT3 signaling by a STAT3 inhibitor, Sc144, abolished the effect of MBL on AhR expression at both mRNA and protein levels (Figure 3D and E). FICZ, an AhR ligand, can promote the process of Th17 cell differentiation.10 AhR has been known to exert a transcription factor function after nuclear translocation. Surprisingly, MBL treatment increased AhR levels in cytosolic but decreased its nuclear level in the condition of Th17 polarization (Figure 3F), indicating that MBL limited the nuclear translocation of AhR. Transcriptional activation of CYP1A1, CYP1A2, and CYP1B1 is believed to be regulated by AhR.26 Herein, we observed that MBL significantly limited the mRNA expression of CYP1A1, CYP1A2, and CYP1B1 in CD4+ T cells upon FICZ stimulation (Figure 3G). Moreover, the mRNA levels of RORγt and IL-17a were also decreased in CD4+ T cells upon FICZ stimulation in the presence of MBL protein (Figure 3H). Together, these data suggest that MBL inhibits AhR activation in CD4+ T lymphocytes.
MBL Interacts with AhR and Regulates Th17 Cell Polarization Through AhR Signaling
Then we investigate whether there is a physical interaction between MBL and AhR. Surprisingly, the results showed that MBL interacted with AhR under FICZ stimulation (Figure 4A). The immunofluorescence staining validated the direct association of AhR with MBL in the T cells (Figure 4B). Furthermore, we cultured CD4+ naïve T cells under Th17-polarizing condition with MBL protein in the presence or absence of the AhR inhibitor, CH-223191. CH-223191 treatment significantly inhibited the Th17 differentiation. Interestingly, MBL-mediated inhibition of Th17 polarization was abolished when treated with CH-223191 (Figure 4C). Moreover, supernatants from MBL treated cells exhibited comparable IL-17a and IL-21 production levels with those from counterparts in the presence of CH-223191 (Figure 4D). Besides, no significant difference in IL-17a, IL-21, and RORγt mRNA levels was found between cells treated with or without MBL upon CH-223191 challenge (Figure 4E). These data suggested that MBL might regulate Th17 cell polarization through AhR signaling.
MBL Deficiency Aggravates Silica-Induced Pulmonary Inflammation in Mice
To confirm the effect of MBL on silica-induced pulmonary inflammation. WT and MBL−/− mice were intratracheally injected with silica for 3 days. H&E staining revealed more inflammatory cell infiltration and severe abnormal follicular epithelial cell proliferation in lung tissues from MBL−/− mice than from WT mice (Figure 5A). Besides, elevated cell numbers and protein levels were observed in bronchoalveolar lavage fluid (BALF) from MBL−/− mice compared with WT counterparts, which indicated MBL deficiency aggravated pulmonary inflammation response (Figure 5B and C). Flow cytometry assay showed higher Th17 cell frequency and lower Treg cell frequency in lung tissues from MBL−/− mice than those from WT mice. Besides, samples of hilar lymph node (HLN) and BALF from the mice with silica-induced pulmonary inflammation exhibited a similar trend (Figure 5D). Consistently, increased levels of IL-17a, IL-6, and TNF-α were detected in BALF from silica-challenged MBL−/− mice compared to WT counterparts, while declined TGF-β and IL-10 levels were found in samples from MBL−/− silicosis mice (Figure 5E). Besides, we observed promoted IL-17a, IL-6, TNF-α, and RORγt mRNA levels in lung tissues from MBL−/− mice, while decreased TGF-β, IL-10, and Foxp3 transcription levels were measured compared to WT counterparts (Figure 5F). Besides, CD4+ T lymphocytes from lung tissues of silica-administred MBL−/− mice exhibited elevated AhR expression compared to WT controls (Figure 5G). Taken together, these data indicate that MBL deficiency aggravates silica-induced pulmonary inflammation in mice.
MBL Deficiency Aggravates Silica-Induced Pulmonary Fibrosis in Mice
Furthermore, we investigate the function of MBL in silica-induced pulmonary fibrosis. Increased amounts of fibrous nodules and consolidation areas were observed in lung tissues from MBL−/− mice compared to those from WT mice after silica administration for 14 days (Figure 6A). Additionally, we found a higher Ashcroft score in MBL−/− mice lung tissues than WT mice (Figure 6B). Similarly, enhanced hydroxyproline levels were detected in lung homogenate from MBL−/− mice compared to WT counterparts, which indicated severe lung fibrosis in silica-challenged MBL−/− mice (Figure 6C). Flow cytometry analysis showed elevated Th17 cell frequency and declined Treg cell frequency in lung tissues, HLN, BALF from MBL−/− mice compared to those from WT mice (Figure 6D). Besides, the levels of IL-17a, IL-6, and TNF-α were increased in the BALF from silica-challenged MBL−/− mice compared to WT counterparts, while the levels TGF-β and IL-10 levels were reduced consistently (Figure 6E). Moreover, we found elevated IL-17a, IL-6, TNF-α, and RORγt mRNA levels in lung tissues acquired from MBL−/− mice, while declined TGF-β, IL-10, and Foxp3 transcription levels were observed compared to WT mice (Figure 6F). Furthermore, CD4+ T lymphocytes from MBL−/− mice lung tissues showed more AhR expression than those from WT mice (Figure 6G). These data suggest MBL deficiency exacerbates silica-induced pulmonary fibrosis in mice.
MBL Restoration Ameliorates Silica-Induced Pulmonary Fibrosis in Mice
To further confirm the effect of MBL on silica-induced pulmonary fibrosis in mice, MBL-expressed AAV was injected into MBL−/− mice for MBL restoration as we previously reported.27 As expected, MBL restoration ameliorated lung fibrosis in the silicosis model (Figure 7A). Consistently, declined hydroxyproline levels were shown in lung homogenate obtained from MBL−/− mice injected with MBL-expressed AAV compared to those injected with control AAV (Figure 7B). Furthermore, restoration of MBL expression limited Th17 differentiation, while promoted Treg differentiation (Figure 7C). Flow cytometry analysis showed decreased AhR expression in CD4+ T lymphocytes from pAAV-MBL injected MBL−/− mice lung tissues than those from control mice (Figure 7D). Above all, these data demonstrated that MBL restoration ameliorated silica-induced pulmonary fibrosis in mice.
Discussion
MBL is a circulating plasma protein of the innate immune system, which can modulate host inflammatory response. Our previous reports indicated that MBL might be correlated to the progression of silicosis, and MBL directly interacted with T cells and suppressed T cell activation.20 The present study demonstrated the negative correlation between serum MBL levels and disease progression in silicosis patients. Our results indicated that MBL inhibited the Th17 differentiation through limiting AhR expression and its nuclear translocation. Furthermore, we observed that MBL deficiency aggravates silica-induced pulmonary inflammation and fibrosis in mice, which was associated with the regulation of Th17 immunity (Figure 8).
MBL deficiency is the most common complement deficiency in humans.28 Low MBL serum levels have been shown to enhance the risk for infection, and individuals with MBL deficiency may have an increased frequency of inflammatory autoimmune diseases. MBL is primarily a circulating protein that accumulates in the lung during inflammation.29 Clinical studies in humans have demonstrated that MBL deficiency predisposes to severe respiratory tract infection.30,31 MBL could bind with influenza virus and was ascribed a protective role of MBL in mice infected with influenza.32 A previous longitudinal study revealed that functional deficiency of MBL was associated with frequent exacerbations of chronic obstructive pulmonary disease (COPD), and increased serum MBL levels correlated with improved survival.31 Interestingly, the addition of MBL protein as a supplement significantly reduced smoking-related lung inflammation in mice.33 Garred et al reported that the presence of MBL variant alleles was correlated with poor prognosis and early death in patients with CF.34 Structural MBL-2 gene mutations could result in the impairment of FEV1 and reduced patient survival. Indeed, serum MBL levels were also positively correlated to the lung function determined by FEV1 and FVC in CF patients,35 which was similar to our observation that silicosis patients with higher serum MBL levels exhibited better lung function. Also, MBL deficiency was associated with steeper declines in FEV1 in patients with primary ciliary dyskinesia (PCD), a congenital lung disease.36 Therefore, we postulated that MBL might be critical in regulating lung function in the pathogenesis of acute and chronic lung diseases. Currently, the association of MBL with lung diseases was mainly evaluated by the longitudinal study of clinical parameters in patients. Further investigation is urgent to reveal the mechanisms through which MBL and related pathways modulate the pulmonary response with experimental animal studies and biological research.
Th17 cells are believed to be critical pro-inflammatory cells that contribute to the pathogenesis of diverse pulmonary diseases.4 COPD patients exhibited remarkable elevated Th17 cell frequency compared to healthy controls.37,38 Th17 lymphocytes secrete IL-17a that promotes the activation of bronchial fibroblasts, epithelial cells, and smooth muscle cells, inducing them to produce pro-inflammatory cytokines responsible for recruiting neutrophils and their local infiltration, thus aggravating the COPD symptomatology.6 Indeed, Th17/Treg cytokine imbalance was observed in the experimental model of COPD, and the imbalance cytokine profile plays a pivotal role in the exacerbated inflammatory response.39 Similarly, Th17 cells were found in airway submucosa in CF patients and have been thought to account for the inflammatory response.7 Silicosis sometimes complicates autoimmune diseases, implying that the autoreactive T-cell responses were involved in the progress of the disease. Our previous study demonstrated that the serum concentrations of MBL correlated negatively with in vivo T-cell activation status in patients with early-stage silicosis.20 Song et al, observed that the Th17 response could induce lung inflammation during the pathogenesis of silicosis by regulating the homeostasis of the Th immune responses and affecting the production of IL-22 and IL-1β.22 Treg cells controlled the inflammation against silica via suppression of inflammatory cells in the early stage.40 In examining Th17 cells in the mice challenged with silica, we found elevated levels of CD4+ T cells expressing IL-17 in the MBL−/− mice. Considering the reciprocal regulation of IL-17 and FoxP3 expression, we also examined the frequency of CD4+FoxP3+ T cells from silica-administrated mice. We confirmed that the enhanced IL-17 production by T cells from MBL-deficient mice is accompanied by reduced FoxP3 expression. In vitro study also showed that MBL protein limited IL-17 expression but promoted Foxp3 expression in CD4+ T cells, which is partially correlated with a previous study that showed MBL inhibit the differentiation of CD4+ T cells to Th17 cells.41 These results indicate that MBL shifts the program of regulation of IL-17 and FoxP3 gene expression. MBL circulates in complexes with MBL-associated serine proteases (MASPs). Upon binding of MBL to their targets, MASP becomes activated and initiates complement activation. The complement component, C5a, has been reported to induce Th17 cytokine expression from human T cells. Therefore, it is possible that MBL-mediated complement activation might be also involved in the regulation of Th17 responses in vivo, and further investigation is warranted. During Th17 cell differentiation, activated STAT3 induces the expression of RORγt and RORα, which are the master transcription factors driving the lineage commitment to Th17. MBL inhibited the IL-2-induced activation of STAT5 in NK cells, limiting inflammatory cytokine production.17 Indeed, genetic variants in the STAT3/STAT5 region are associated with immune-mediated diseases and inflammatory diseases.42 In this study, we demonstrated that MBL attenuated STAT3 activation under the Th17 polarization conditions. Indeed, MBL, like many other lectins, binds to a large number of different glycoproteins expressed on various cells. Further investigation about the effect of MBL on JAK-STAT activation could reveal the role of MBL in inflammatory responses. Notably, STAT3 expression and activity are regulated through transcriptional control, post-translational regulation, and intracellular localization.43 The cooperation of STAT3 with associated transcription factors appears to control the consequent inflammatory cytokine production.42 Activated AhR causes phosphorylation of Janus kinase 2 (Jak2) and subsequent STAT3 activation.44 Knockdown of AhR significantly suppressed the Jak2/STAT3 signaling. Alternatively, phosphorylated STAT3 binds to the promoter of AhR, thereby promoting AhR expression.45 We supposed MBL firstly inhibited AhR signal, leading to impaired STAT3 phosphorylation, which contributed to subsequent downregulation of AhR expression. Furthermore, these data indicated the potential role of MBL in STAT3 signalling regulation.
A previous study determined that MBL attenuated the expression of CYP1A1, CYP1A2, and CYP1B1, genes that are considered as biomarkers for AhR activation.46 The induction of CYPs could increase oxidative stress and inflammation that are intimately linked to promoting complications in people chronically exposed to incense smoke.47 Notably, CYP1A1, CYP1A2, and CYP1B1 have been reported to produce carcinogenic metabolites.48,49 Previous studies documented that MBL had been involved in the development of several cancer types,27,50 while the precise mechanisms are still limited. Further investigation of whether MBL modulates carcinogenic metabolite production through AhR may provide new insight into tumorigenesis. We detected interaction between AhR and MBL, while whether MBL coupled with AhR directly still needs more evidence. AhR forms complex with several chaperone proteins, such as HSP90, AIP, and p23 in the cytoplasm. Upon activation, AhR releases from the complex and translocates to the nucleus.51 We previously demonstrated that MBL coupled with calreticulin and functioned like a chaperone protein.20 Thus, we assumed that MBL interacted with the AhR complex and contributed to the stability of the complex, thereby regulating AhR translocation.
In summary, we have made the novel observation that MBL suppresses the differentiation and activation of Th17 cells. MBL treatment reduces IL-17 expression in CD4+ T cells associated with enhanced expression of FoxP3, which implies that the circulating MBL is crucial for maintaining Th17/Treg balance in vivo. Mechanistically, our study elucidates that MBL might inhibit the Th17 differentiation through AhR/STAT3 pathway. The finding that MBL modulates the Th17/Treg counterbalance suggests that mediators and mechanisms that regulate MBL expression or function may serve as targets for manipulating this balance, thereby regulating autoimmune and inflammatory disease outcomes.
Conclusion
Our studies indicated that MBL inhibited Th17 response, thereby ameliorating silicosis-associated lung inflammation and fibrosis. We demonstrated that MBL down-regulated AhR/STAT3 pathway through interacting with AhR and limiting AhR nucleus translocation. This report provided new insight into silicosis and other inflammatory diseases in patients with MBL deficiency.
Funding Statement
This work was supported in part by the National Natural Science Foundation of China (grant no.: 82071781, 81971550, 81873872, and 81903269), Science and Technology Planning Project of Guangzhou (grant no.: 202002030160 and 202102080005), Innovation team of chronic kidney disease with integrated traditional Chinese and Western Medicine (grant no.: 2019KCXTD014), Natural Science Foundation of Guangdong (grant no.:2021A1515011546, 2021A1515010081, 2021A1515012205) and Guangdong Provincial Key Laboratory of Occupational Disease Prevention and Treatment (grant no.:2017B030314152).
Data Sharing Statement
All data presented or analyzed during this research are included in this published study.
Author Contributions
All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.
Disclosure
The authors have no conflicts of interest to declare.
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