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Myeloid DNA methyltransferase3b deficiency aggravates pulmonary fibrosis by enhancing profibrotic macrophage activation

Respiratory Research volume 23, Article number: 162 (2022) Cite this article

Abstract

Background

Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive and severe disease characterized by excessive matrix deposition in the lungs. Macrophages play crucial roles in maintaining lung homeostasis but are also central in the pathogenesis of lung diseases like pulmonary fibrosis. Especially, macrophage polarization/activation seems to play a crucial role in pathology and epigenetic reprograming is well-known to regulate macrophage polarization. DNA methylation alterations in IPF lungs have been well documented, but the role of DNA methylation in specific cell types, especially macrophages, is poorly defined.

Methods

In order to determine the role of DNA methylation in macrophages during pulmonary fibrosis, we subjected macrophage specific DNA methyltransferase (DNMT)3B, which mediates the de novo DNA methylation, deficient mice to the bleomycin-induced pulmonary fibrosis model. Macrophage polarization and fibrotic parameters were evaluated at 21 days after bleomycin administration. Dnmt3b knockout and wild type bone marrow-derived macrophages were stimulated with either interleukin (IL)4 or transforming growth factor beta 1 (TGFB1) in vitro, after which profibrotic gene expression and DNA methylation at the Arg1 promotor were determined.

Results

We show that DNMT3B deficiency promotes alternative macrophage polarization induced by IL4 and TGFB1 in vitro and also enhances profibrotic macrophage polarization in the alveolar space during pulmonary fibrosis in vivo. Moreover, myeloid specific deletion of DNMT3B promoted the development of experimental pulmonary fibrosis.

Conclusions

In summary, these data suggest that myeloid DNMT3B represses fibrotic macrophage polarization and protects against bleomycin induced pulmonary fibrosis.

Introduction

Lung diseases are the leading cause of death worldwide [1]. Among those diseases, idiopathic pulmonary fibrosis (IPF) is a progressive and fatal lung disease with limited therapeutic options [2, 3]. Despite the availability of anti-fibrotic drugs that confer a small increase in overall survival, disease progression is not halted nor reversed by current treatment modalities [4, 5]. Most IPF patients show a progressive decline in pulmonary function leading to respiratory failure, which is caused by excessive extracellular matrix (ECM) deposition in the lungs. The pathophysiology of IPF is complex and although numerous molecular pathways and cell populations have been shown to drive disease progression, its etiology remains only partly understood [6, 7]. Better understanding of disease driving pathways and cell populations involved might lead to novel treatment options that are able to stop or reverse disease progression.

A specific cell population implicated in the development and progression of IPF are macrophages. Macrophages are highly plastic and can polarize toward different activation states in response to internal or external cues [8]. Lung macrophages are the major immune sentinels in steady state lung tissue and play a crucial role in maintaining lung homeostasis [9]. Of note however, macrophages are also crucial regulators of the development of lung fibrosis [10, 11] and it is well recognized that macrophages play a dual role in pulmonary fibrosis. They can promote fibrosis by secreting pro-fibrotic soluble mediators, chemokines, and matrix metalloproteases. On the other hand, macrophages can enhance the resolution of fibrosis by stimulating ECM processing through secretion of matrix metalloproteases and/or promoting epithelial regeneration [10, 12]. Therefore, the biology of macrophages in pulmonary fibrosis should be tightly regulated and abnormal macrophage polarization has been suggested to contribute to this lung disease [12]. The mechanisms underlying macrophage biology in pulmonary fibrosis remain poorly understood however.

Epigenetic regulation has been increasingly recognized to play a crucial role in various biological processes and diseases. Alternation of DNA methylation, one of the most intensively studied epigenetic regulations of gene expression, was documented in the lungs of IPF patients and DNA methylation levels were negatively associated with related gene expression [13, 14]. DNA methylation is established and maintained by DNA methyltransferases (DNMTs) [15], whose expression has been reported to be altered in IPF [13]. There are three well documented DNMTs, DNMT1, DNMT3A and DNMT3B where DNMT1 is mainly involved in the maintenance of DNA methylation, whereas the latter two are important for de novo DNA methylation [16]. DNMT3B is the major DNMT for de novo DNA methylation and has been reported to regulate macrophage polarization [17].

Therefore, given the importance of macrophages in the development of pulmonary fibrosis [23] and the role of DNMT3B in macrophage polarization [17], we hypothesized that macrophage specific DNMT3B may play a role in fibrosis development. To test this assumption, we assessed macrophage subpopulations and fibrotic responses in the lungs of myeloid cell specific Dnmt3b deficient mice during bleomycin-induced pulmonary fibrosis. The results demonstrate that myeloid DNMT3B limits the development of pulmonary fibrosis by limiting M2 macrophage polarization potentially by methylation of the promoter of the gene encoding arginase 1 (Arg1).

Materials and methods

Mice

Homozygous Dnmt3bfl/fl mice (RBRC03733, RIKEN BRC, Tsukuba, Japan) [19] were crossed with LysMcre mice (Jackson Laboratory, Bar Harbor, ME) [20] to generate myeloid cell specific Dnmt3b deficient (Dnmt3bfl/flLysMCre) mice. Dnmt3b deficiency in macrophages of Dnmt3bfl/flLysMCre mice was confirmed as previously described [21]. Animals were maintained at the animal facility of the Academic Medical Center (University of Amsterdam) with free access to food and water. All mice experiments were approved by the Animal Care and Use Committee of the Academic Medical Center.

Bone marrow derived macrophages (BMDMs)

BMDMs were generated as previously described [22]. Briefly, femur and tibia were obtained from 8–12 weeks old Dnmt3bfl/flLysMCre mice and littermate Dnmt3bfl/fl mice. Bone marrow was flushed out of the femur and tibia with medium and cells were resuspended and plated. Bone marrow cells were subsequently incubated for 7 days in RPMI 1640 medium supplemented with 10% FCS, 1% penicillin/streptomycin and 15% L929 mouse fibroblast supernatant in order to differentiate the cells into BMDMs. Subsequently, the cells were plated in a 24-well plate in RPMI 1640 medium supplemented with 10% FCS and 1% penicillin/streptomycin and incubated overnight. Cells were stimulated with recombinant murine interleukin (IL)4 (PeproTech EC, London, UK) at a final concentration of 20 ng/ml, recombinant human transforming growth factor-beta (TGFB1, Tebu-bio, Offenbach, Germany) at a final concentration of 5 ng/ml, or lipopolysaccharides (LPS, from E. coli O111:B4; InvivoGen, Toulouse, France) at a final concentration of 100 ng/ml for 2, 6, 12 and 24 h. Supernatants were collected and stored at − 20 °C for further analysis and cells were collected and stored at − 80 °C in RNA isolation buffer (Nucleospin RNA, Machery-Nagel, Leiden, Netherlands) or DNA isolation buffer (DNeasy Blood and Tissue Kit, Qiagen, Hilden, Germany).

Quantitative reverse transcription PCR (RT-qPCR)

Total RNA from BMDMs, broncho-alveolar lavage fluid (BALF) cells and lung homogenates was isolated using NucleoSpin RNA columns (Bioke, Leiden, Netherlands) according to the manufacturer’s recommendations. All RNA samples were quantified by spectrophotometry and stored at − 80 °C until further analysis. cDNA was prepared using the M-MLV Reverse Transcriptase kit (Promega, Leiden, Netherlands) according to manufacturer’s instructions. Gene expression analysis was performed using a Roche LightCycler 480 thermocycler with SensiFAST Real-time PCR kit (Bioline, London, UK) using the gene specific primers listed in Table 1. Gene specific expression levels were normalized to expression levels of the gene encoding hypoxanthine–guanine phosphoribosyltransferase (Hprt).

Table 1 Primer sequences used for RT-qPCR
Full size table

Methylated DNA immunoprecipitation (MeDIP)

MeDIP analysis was performed as previously described [23]. In brief, DNA from BMDMs was isolated using the DNeasy Blood and Tissue Kit (Qiagen 174 GmbH, Hilden, Germany) according to the manufacturer’s instructions. Subsequently, DNA was sonicated into 200 to 1000 bp DNA fragments. Methylated DNA fragments were then immunoprecipitated using the Methylamp Methylated DNA Capture Kit (Epigentek, Farmingdale, NY) according to the manufacturer’s instructions. DNA methylation levels at two regions (P1 and P2) of the Arg1 promoter were measured by qPCR with two pairs of primers (P1 Forward: 5-TTCCTCTGATGGGGAGGTTCT-3′, P1 Reverse 5′-CCCTAAAAGACAGAGGGCACA-3′; P2 Forward: 5-TGAACAGGCTGTATTAGCCAACA-3′, P2 Reverse 5′-AGCACCCTCAACCCAAAGTG-3’).

Animal model of pulmonary fibrosis

Pulmonary fibrosis was induced by a single intranasal dose of bleomycin (Sigma, St-Louis, MO) at 2 U/kg body weight as described before [24]. All mice were euthanized by heart puncture after injection of ketamine/medotomidine at 21 days after bleomycin installation. A bronchoalveolar lavage (BAL) was performed by flushing the right lung with 2 aliquots of 0.5 ml sterile phosphate-buffered saline after ligation of the left tracheal bronchus after which the lung was collected and homogenized as described before [25] and stored at − 20 °C until further analysis. The left lung was preserved in 10% formalin for 24 h and used for histopathology. BAL fluid was centrifuged at 800 g for 10 min at 4 °C after which the supernatant was stored at − 20 °C until further analysis. BALF cells were counted using a hemocytometer (Beckman Coulter, Fullerton, CA) and differential cell populations were subsequently determined by flow cytometry (see below). BALF cells were lysed in RNA isolation lysis buffer. BALF supernatants and lung homogenates were stored at − 20 °C until further analysis.

Hydroxyproline assay

Hydroxyproline levels were measured in lung homogenates using a hydroxyproline assay kit (Sigma, St-Louis, MO) according to the manufacturer’s instructions and as described before [24].

Enzyme-linked immunosorbent assays (ELISA)

Mouse Monocyte Chemoattractant Protein 1 (MCP1) and active TGFB1 levels were measured in BALF and lung homogenates, and IL6 and Tumor Necrosis Factor (TNF)A levels were measured in cell culture supernatants by specific ELISAs (all R&D Systems, Minneapolis, MN) according to manufacturer’s instructions.

Flow cytometry

Differential cell counts in BALF were determined by flow cytometry as described [26, 27]. Briefly, BALF cells were resuspended in FACS buffer (5% BSA, 0.35 mM EDTA, 0.01% NaN3). Cell staining was performed according to manufacturer’s recommendations using fixable viability dye eFluor 780, rat anti mouse-CD16/CD32 (clone 93), rat anti mouse-CD45 PE-eFluor610 (30-F11), rat anti-mouse CD11b PE-Cy7 (clone M1/70), rat anti-mouse Siglec-F Alexa Fluor 647 (clone E50-2440) (all from BD Biosciences, San Jose, CA); anti-mouse CD64 PerCP-Cy5-5 (clone X54-5/7.1) and rat anti-mouse Ly-6G FITC (clone 1A8) (both from Biolegend, San Diego, CA). Flow cytometry analysis was performed using a FACSCANTO II (Becton Dickinson, Franklin Lakes, NJ) and data were analyzed using FlowJo software (Becton Dickinson). The gating strategy that was used to analyze the different populations is shown in supplementary Figure S1. Fibrotic macrophage population was defined as CD45 + CD64 + SigecFlowCD11bhi; classical alveolar macrophages were defined as CD45 + CD64 + SiglecFhiCD11blow.

Western blot

Fibronectin (FN1), collagen type I (COL1A1) and α-tubulin protein levels were measured in lung homogenates by western blot as described [25]. Western blot results were quantified using ImageJ (National Institutes of Health and the Laboratory for Optical and Computational Instrumentation, University of Wisconsin, Madison, WI).

Histological analysis

Histological examination was performed essentially as described before [24, 28]. After the left lungs were embedded in paraffin, lung sections were prepared and stained with hematoxylin and eosin (H&E) according to routine procedures. The severity of fibrosis was evaluated according to the Ashcroft scoring system [29] by two independent observers in a blinded fashion. An average of 10 fields for each lung section were selected and scored. The results were reported as the average score of the individual field scores.

Statistics

Statistical analyses were conducted using GraphPad Prism 8 (GraphPad software, San Diego, CA). Comparisons between two conditions were analyzed using Mann–Whitney analysis. P values of less than 0.05 were considered significant.

Results

DNMT3B deficiency promotes alternative macrophage polarization in vitro

Polarization of macrophages towards a M2 type has been implicated in the pathogenesis of lung fibrosis [12]. To determine whether DNMT3B affects macrophage polarization in vitro we stimulated BMDMs from Dnmt3bfl/flLysMCre and Dnmt3bfl/fl control mice with IL4, TGFB1 or LPS. IL4 is a strong inducer of alternative macrophage polarization that can be recognized by high gene expression of Arg1 and Fizz1 [30]. Both Arg1 and Fizz1 mRNA levels were increased at 6 and 24 h in BMDMs stimulated with IL4, which was further enhanced by DNMT3B deficiency (Fig. 1A). Also TGFB1 induces alternative macrophage polarization, which is accompanied by extensive expression of profibrotic genes Fn1 and Pdgfa [31]. mRNA levels of Fn1 and Pdgfa were increased upon TGFB1 stimulation, which was further increased in DNMT3B deficient macrophages, although for Fn1 the difference between genotypes did not reach statistical significance (Fig. 1B). These results suggest that DNMT3B limits alternative macrophage polarization, corroborating previous reports [17, 32]. Next to alternative macrophages, classically activated macrophages are present in the lungs of IPF patients [33]. To examine whether DNMT3B also regulates inflammatory/classic macrophage activation, BMDMs were stimulated with LPS for 2, 6, 12 and 24 h. The mRNA expression of the pro-inflammatory genes Il6 and Tnfa and their corresponding proteins was strongly induced by LPS stimulation, but both mRNA and protein levels of these mediators were comparable in DNMT3B deficient and control macrophages (Fig. 1C, D). Collectively, these findings suggest that DNMT3B represses alternative macrophage polarization but does not regulate classical macrophage polarization in vitro.

Fig. 1
figure 1

Myeloid Dnmt3b deficiency promotes alternative polarization of bone marrow-derived macrophages (BMDMs). A Relative gene expression of Arg1 (Arginase 1) and Fizz1 (Resistin like alpha) in BMDMs of control (Dnmt3bfl/fl) and DNMT3B conditional knockout (Dnmt3bfl/flLysMcre) mice stimulated with IL4 (20 ng/ml) for 0, 6 and 24 h determined by RT-qPCR. Expression levels are relative to Hprt (hypoxanthine–guanine phosphoribosyltransferase). B Relative gene expression of Pdgfa (platelet derived growth factor subunit A) and Fn1 (Fibronectin) in BMDMs of control (Dnmt3bfl/fl) and DNMT3B conditional knockout (Dnmt3bfl/flLysMcre) mice stimulated with TGFB1 (5 ng/ml) for 0, 6 and 24 h determined by RT-qPCR. Expression levels are relative to Hprt. C Relative gene expression of Il6 (Interleukin 6) and Tnfa (Tumor necrosis factor-α) in BMDMs of control (Dnmt3bfl/fl) and DNMT3B conditional knockout (Dnmt3bfl/flLysMcre) mice stimulated with lipopolysaccharide (LPS, 100 ng/ml) for 0, 2, 6, 12 and 24 h determined by RT-qPCR. Expression levels are relative to Hprt. D IL6 and TNFA protein levels in the supernatant of BMDMs from control (Dnmt3bfl/fl) and DNMT3B conditional knockout (Dnmt3bfl/flLysMcre) mice stimulated with LPS (100 ng/ml) for 0, 2, 6, 12 and 24 h determined by ELISA. Data represent results one of three independent experiments showing similar results. Data are presented as mean ± SEM, n = 6 per group; Black bars: Littermate control mice, open bars: myeloid specific DNMT3B deficient mice. *p < 0.05, **p < 0.01

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Myeloid DNMT3B inhibits alternative macrophage polarization during bleomycin-induced pulmonary fibrosis

To determine the potential role of DNMT3B in macrophage polarization during pulmonary fibrosis in vivo, we subjected myeloid cell specific DNMT3B deficient mice (Dnmt3bfl/flLysMCre mice) and their littermate controls (Dnmt3bfl/fl mice) to the bleomycin-induced lung fibrosis model. Monocyte derived macrophages are reported to be the major source of the macrophage population that contributes to the development of pulmonary fibrosis [26, 34] and therefore we first assessed cell influx into the lung by counting the total cell number in BALF. As shown in Fig. 2A, the total cell number in BALF was increased 21 days after bleomycin instillation to a similar level in myeloid DNMT3B deficient mice and control mice. To further substantiate the alternative macrophage population in fibrotic lungs we quantified the expression of CD11b, a marker for alternative macrophages contributing to pulmonary fibrosis [35], and Siglec F in BAL cells. The fibrotic macrophage population (SiglecFlowCD11bhi) was increased in both control and DNMT3B conditional knockout mice after bleomycin treatment, and this macrophage population was significantly larger in DNMT3B conditional knockout mice when compared to control littermates (Fig. 2B). On the other hand, the classic alveolar macrophage population (SiglecFhiCD11blow) were significantly lower in myeloid DNMT3B deficient mice compared to control mice (Fig. 2B). BALF and lung tissue levels of MCP1, the most important chemotactic protein for monocyte migration [36], were increased upon bleomycin treatment but not affected by myeloid cell DNMT3B deficiency (Additional file 1: Figure S2A). To further substantiate the impact of myeloid DNMT3B on the alternative macrophage population, gene expression of Arg1, Fizz1, Spp1, Pdgfa, Mmp8 and Mmp12 were analyzed in BALF cells; the expression of these alternative macrophage markers was increased after bleomycin treatment, which was significantly enhanced in myeloid DNMT3B deficient mice, except for Mmp12 (Fig. 2C). On the contrary, gene expression levels of classical macrophage markers Il6 and Tnfa were not affected by bleomycin treatment or DNMT3B deficiency (Additional file 1: Figure S2B). As a de novo DNA methyltransferase, the most well-recognized mechanism underlying DNMT3B mediated gene expression is DNA methylation [37]. We therefore examined DNA methylation levels at the promoter regions of Arg1 in BMDMs with and without IL4 stimulation in vitro. As shown in Fig. 2D, DNA methylation within the Arg1 promoter was significantly higher in unstimulated BMDMs at both regions analyzed. Methylation of the Arg1 promoter was rapidly decreased upon IL4 stimulation in control BMDMs, whereas methylation was unaltered in DNMT3B deficient BMDMs. These results suggest that DNMT3B regulates alternative macrophage polarization at least in part by mediating DNA methylation of the Arg1 promoter.

Fig. 2
figure 2

Myeloid DNMT3B inhibits alternative macrophage polarization in the lungs during bleomycin-induced pulmonary fibrosis. A Total cell numbers in bronchoalveolar lavage fluid (BALF) of control (Dnmt3bfl/fl) and DNMT3B conditional knockout (Dnmt3bfl/flLysMcre) mice 21 days after saline of bleomycin treatment. B Percentage of classical alveolar macrophages (Siglec Fhi AMs) and alternative alveolar macrophage populations (CD11bhi AMs) in BALF of control (Dnmt3bfl/fl) and DNMT3B conditional knockout (Dnmt3bfl/flLysMcre) mice 21 days after saline or bleomycin treatment analyzed by flow cytometry. C Relative gene expression of alternative macrophage markers Arg1 (Arginase 1), Fizz1 (Resistin like alpha), Spp1 (Secreted Phosphoprotein 1), Pdgfa (platelet derived growth factor subunit A), Mmp8 (matrix metalloproteinase 8) and Mmp12 (matrix metalloproteinase 12) in BALF cells of control (Dnmt3bfl/fl) and DNMT3B conditional knockout (Dnmt3bfl/flLysMcre) mice 21 days after saline or bleomycin treatment determined by RT-qPCR. Expression levels are relative to Hprt (hypoxanthine–guanine phosphoribosyltransferase). D Percentage of DNA methylation at region p1 and p2 of the Arg1 promoter in control (Dnmt3bfl/fl) and DNMT3B conditional knockout (Dnmt3bfl/flLysMcre) bone marrow-derived macrophages (BMDMs) 0, 6 and 24 h after IL4 (20 ng/ml) stimulation. Data are presented as mean ± SEM, n = 10 mice per group (bleomycin treated) or 4 mice per group (saline control) in A, B; n = 6 in C. Black bars: littermate control mice, open bars: myeloid specific DNMT3B deficient mice. *p < 0.05, **p < 0.01, ***p < 0.001

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Myeloid Dnmt3b deficiency exacerbates bleomycin-induced pulmonary fibrosis

Alternatively activated macrophages have been suggested to promote the development of bleomycin induced fibrosis [26, 34, 35] and therefore the effect of DNMT3B on macrophage polarization may affect the development of pulmonary fibrosis. In order to determine this potential effect, fibrotic parameters were assessed 21 days after bleomycin treatment, i.e., typically when the peak of fibrosis is observed [38]. Bleomycin administration led to transient body weight loss which was not affected by myeloid DNMT3B deficiency (Fig. 3A). Lung weight was increased upon bleomycin treatment which was significantly enhanced in DNMT3B conditional knockout mice (Fig. 3B). Lung levels of hydroxyproline, a marker for collagen content, were increased upon bleomycin treatment in both mouse strains, but significantly higher in the lungs of DNMT3B conditional knockout than in control mice (Fig. 3C). In line, fibronectin and collagen type I protein levels in the lungs were increased upon bleomycin administration and these levels were higher in DNMT3B conditional knockout mice (Fig. 3D, E). Histological examination of the lungs showed extensive patchy areas of fibrosis at day 21 (Fig. 3F) which were significantly more present in DNMT3B conditional knockout mice, as indicated by quantification using the Ashcroft scoring system (Fig. 3G). TGFB1 is an important cytokine driving pulmonary fibrosis and mostly produced by macrophages during fibrosis [39]. As shown in Fig. 3H, active TGFB1 levels in both BALF and lung homogenates were increased upon bleomycin administration to a similar extent in myeloid DNMT3B deficient mice and control littermates. Collectively, myeloid cell specific DNMT3B deficiency exacerbates the development of pulmonary fibrosis induced by bleomycin potentially by regulating alternative macrophage polarization.

Fig. 3
figure 3

Myeloid DNMT3B deficiency promotes bleomycin induced pulmonary fibrosis. A Body weight of control (Dnmt3bfl/fl) and DNMT3B conditional knockout (Dnmt3bfl/flLysMcre) mice over time after bleomycin or saline treatment. B Lung weight of left lung lobes of control (Dnmt3bfl/fl) and DNMT3B conditional knockout (Dnmt3bfl/flLysMcre) mice 21 days after bleomycin (Bleo) or saline treatment. C Collagen expression as measured by hydroxyproline levels in the right lung of control (Dnmt3bfl/fl) and DNMT3B conditional knockout (Dnmt3bfl/flLysMcre) mice 21 days after bleomycin (Bleo) or saline treatment. D Representative pictures of western blot assays for the detection of Fibronectin (FN1) and Collagen type I (COL1A1) protein levels in lung homogenates of control (ctrl) and DNMT3B conditional knockout (KO) mice 21 days after bleomycin treatment. α-Tubulin serves as a loading control. E Quantification of FN1 and COL1A1 expression relative to α-tubulin levels of Western blots depicted in D. F Representative H&E-stained lung tissue sections of control (Dnmt3bfl/fl) and DNMT3B conditional knockout mice (Dnmt3bfl/flLysMcre) 21 days after saline or bleomycin treatment (20x). G Quantification of pulmonary fibrosis using the Ashcroft score in control (Dnmt3bfl/fl) and DNMT3B conditional knockout (Dnmt3bfl/flLysMcre) mice 21 days after saline or bleomycin treatment. H Active TGFB1 protein levels in bronchoalveolar lavage fluid (BALF) and lung homogenates of control (Dnmt3bfl/fl) and DNMT3B conditional knockout (Dnmt3bfl/flLysMcre) mice 21 days after saline or bleomycin treatment determined by ELISA. Data are presented as mean ± SEM, n = 10 mice per group (bleomycin treated) or 4 mice per group (saline control). Bleo: bleomycin; Black bars: littermate control mice, open bars: myeloid specific DNMT3B deficient mice. *p < 0.05, **p < 0.01

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Discussion

IPF is a complex lung disease believed to result from an atypical response to injury of the epithelium that leads to an aberrant wound healing response and the deposition of extracellular matrix [40]. Macrophages play crucial roles in this process and their activation is tightly regulated during IPF. Here we show that the loss of DNMT3B in macrophages promotes alternative, but not classic, macrophage polarization, and is associated with enhanced bleomycin-induced pulmonary fibrosis.

Macrophages are highly heterogeneous and have many faces in the fibrotic lung [41, 42]. Macrophages are highly plastic, and their polarization is determined by the local environment [9, 43]. Both classical (M1) and alternative (M2) macrophage subpopulations have been found in IPF lungs, where they seem to play dual roles in the development of pulmonary fibrosis [12]. CD11bhi alternative macrophages promote the development of bleomycin-induced fibrosis as elegantly shown by the fact that depletion of this specific subset prevents fibrosis [44]. In line, we here show that the number of CD11bhi alternative macrophages in the alveolar space was significantly increased upon bleomycin administration which was accompanied by increased expression of profibrotic macrophage markers in these cells. Interestingly, both the number of CD11bhi macrophages and the expression of profibrotic markers were further increased in macrophages of myeloid DNMT3B deficient mice challenged with bleomycin compared to control challenged mice. The increased alternative macrophage polarization in myeloid DNMT3B deficient mice was accompanied by increased pulmonary fibrosis which suggests that macrophage DNMT3B inhibits the development of pulmonary fibrosis by restricting alternative macrophage polarization.

It has been shown that recruitment of monocytes contributes to macrophage populations during the development of pulmonary fibrosis [26, 34]. Therefore, we assessed whether macrophage recruitment was affected by myeloid DNMT3B. However, we did not observe a difference in cell numbers in BALF nor in MCP1 levels, the major monocyte chemoattractant, between control and myeloid DNMT3B deficient mice. It seems therefore unlikely that myeloid DNMT3B is involved in the recruitment of macrophages; rather its role seems restricted to alternative macrophage polarization. Of interest, a very recent study showed that the monocyte-derived macrophage population is not altered in IPF lungs compared to normal lungs, suggesting that the role of monocyte-derived macrophages in the development of pulmonary fibrosis is limited in human disease [45]. The same study that precludes monocyte-derived macrophages as key mediators in IPF did however show that two specific resident-like macrophage populations are increased in IPF [45]. One of these resident-like macrophage subsets, i.e. the SPP1hi/MERTKhi population, may be particularly interesting as we here also show that SPP1 expression was strongly increased in BALF cells upon bleomycin treatment which was even further elevated in myeloid DNMT3B deficient mice, suggesting that these results may be relevant for the human situation.

Typically, de novo DNA methyltransferases regulate gene expression by promoter methylation of target genes [16]. This prompted us to investigate whether Arg1 promoter methylation was altered in DNMT3B deficient BMDMs. Interestingly, promoter methylation of Arg1 was higher in DNMT3b positive BMDMs compared to DNMT3B deficient BMDMs suggesting that Arg1 is a direct target of DNMT3B and already at baseline DNMT3B inhibits Arg1 expression by methylation of its promotor. This is in line with a previous study showing that the expression of Arg1 is negatively regulated by DNA methylation in BMDMs [46]. DNA methylation in lung tissues of IPF patients was altered compared to healthy controls suggesting that such epigenetic modifications may play a role in the pathophysiology of the disease [13, 14]. This is in line with a recent study showing that aberrant DNA methylation in alveolar macrophages is associated with macrophage differentiation and is associated with IPF pathogenesis [47]. Future studies focusing on the identification of other DNMT3B specific targets for DNA methylation will need to be employed and also DNA methylation levels within the promotor regions of DNMT3B specific targets in macrophages obtained from IPF patients need to be assessed to unveil the role of DNMT3B in pulmonary fibrosis. Together with DNMT3B, DNMT3A also catalyzes de novo DNA methylation, while the DNMT1 maintains DNA methylation [16]. Therefore, we cannot rule out a potential role of DNMT3A and DNMT1 in regulating macrophage polarization during fibrosis, and other studies have already shown that both DNMT1 and DNMT3A play a role in the development of pulmonary fibrosis by modulating DNA methylation in lung fibroblasts and alveolar epithelial cells [18].

Notably, classic macrophage polarization was not affected by DNMT3B deletion, whereas others have shown that DNMT3B can promote classical macrophage polarization in RAW264.7 macrophages [17]. The fact that we did not observe such an effect upon LPS stimulation of BMDMs may be explained by the difference in cell type that was used. Moreover, the reason that we did not find a difference in classical macrophage polarization upon bleomycin administration may be explained by the time point that was analyzed. Indeed, 21 days post bleomycin instillation is typically the peak of the fibrotic stage whereas the inflammatory stage peaks around day 3 [48, 49]. Most importantly, in the aforementioned study DNMT3B did inhibit alternative macrophage polarization similarly to our resultsas shown by knockdown and overexpression experiments of DNMT3B using RAW264.7 macrophages [17] which underscores the role of DNMT3B in alternative macrophage polarization in vitro. Here we show that this mechanism is also relevant in the setting of experimental pulmonary fibrosis in vivo.

Conclusions

Overall, the present study demonstrates that myeloid DNMT3B represses fibrotic macrophage polarization and ameliorates the development of bleomycin induced pulmonary fibrosis.

Availability of data and materials

All data generated and analyzed during the study are included in the published article and can be shared upon request.

Abbreviations

IPF:

Idiopathic pulmonary fibrosis

Dnmt:

DNA methyltransferase

TGFB1:

Transforming growth factor β1

IL:

Interleukin

ECM:

Extracellular matrix

Hprt:

Hypoxanthine–guanine phosphoribosyltransferase

MeDIP:

Methylated DNA immunoprecipitation

BAL:

Bronchoalveolar lavage

MCP1:

Monocyte chemoattractant Protein 1

TNFA:

Tumor Necrosis Factor α

H&E:

Hematoxylin–eosin staining

BMDM:

Bone-marrow-derived macrophage

LPS:

Lipopolysaccharide

References

  1. Ferkol T, Schraufnagel D. The global burden of respiratory disease. Ann Am Thorac Soc. 2014;11:404–6. https://doi.org/10.1513/AnnalsATS.201311-405PS.

    Article  PubMed  Google Scholar 

  2. Chanda D, Otoupalova E, Smith SR, Volckaert T, De Langhe SP, Thannickal VJ. Developmental pathways in the pathogenesis of lung fibrosis. Mol Aspects Med. 2019;65:56–69. https://doi.org/10.1016/j.mam.2018.08.004.

    Article  CAS  PubMed  Google Scholar 

  3. Wynn TA. Integrating mechanisms of pulmonary fibrosis. J Exp Med. 2011;208:1339–50. https://doi.org/10.1084/jem.20110551.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Costabel U, Albera C, Lancaster LH, Lin CY, Hormel P, Hulter HN, Noble PW. An Open-Label Study of the Long-Term Safety of Pirfenidone in Patients with Idiopathic Pulmonary Fibrosis (RECAP). Respiration. 2017;94:408–15. https://doi.org/10.1159/000479976.

    Article  CAS  PubMed  Google Scholar 

  5. Lancaster L, Crestani B, Hernandez P, Inoue Y, Wachtlin D, Loaiza L, Quaresma M, Stowasser S, Richeldi L. Safety and survival data in patients with idiopathic pulmonary fibrosis treated with nintedanib: pooled data from six clinical trials. BMJ Open Respir Res. 2019;6: e000397. https://doi.org/10.1136/bmjresp-2018-000397.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Iwasaki A, Foxman EF, Molony RD. Early local immune defences in the respiratory tract. Nat Rev Immunol. 2017;17:7–20. https://doi.org/10.1038/nri.2016.117.

    Article  CAS  PubMed  Google Scholar 

  7. Martinez FJ, Collard HR, Pardo A, Raghu G, Richeldi L, Selman M, Swigris JJ, Taniguchi H, Wells AU. Idiopathic pulmonary fibrosis. Nat Rev Dis Primers. 2017;3:17074. https://doi.org/10.1038/nrdp.2017.74.

    Article  PubMed  Google Scholar 

  8. Murray PJ, Allen JE, Biswas SK, Fisher EA, Gilroy DW, Goerdt S, Gordon S, Hamilton JA, Ivashkiv LB, Lawrence T, Locati M, Mantovani A, Martinez FO, Mege JL, Mosser DM, Natoli G, Saeij JP, Schultze JL, Shirey KA, Sica A, Suttles J, Udalova I, van Ginderachter JA, Vogel SN, Wynn TA. Macrophage activation and polarization: nomenclature and experimental guidelines. Immunity. 2014;41:14–20. https://doi.org/10.1016/j.immuni.2014.06.008.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Hussell T, Bell TJ. Alveolar macrophages: plasticity in a tissue-specific context. Nat Rev Immunol. 2014;14:81–93. https://doi.org/10.1038/nri3600.

    Article  CAS  PubMed  Google Scholar 

  10. Byrne AJ, Maher TM, Lloyd CM. Pulmonary Macrophages: A New Therapeutic Pathway in Fibrosing Lung Disease. Trends Mol Med. 2016;22:303–16. https://doi.org/10.1016/j.molmed.2016.02.004.

    Article  CAS  PubMed  Google Scholar 

  11. Eddens T, Kolls JK. Host defenses against bacterial lower respiratory tract infection. Curr Opin Immunol. 2012;24:424–30. https://doi.org/10.1016/j.coi.2012.07.005.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Zhang L, Wang Y, Wu G, Xiong W, Gu W, Wang CY. Macrophages: friend or foe in idiopathic pulmonary fibrosis. Respir Res. 2018;19:170. https://doi.org/10.1186/s12931-018-0864-2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Sanders YY, Ambalavanan N, Halloran B, Zhang X, Liu H, Crossman DK, Bray M, Zhang K, Thannickal VJ, Hagood JS. Altered DNA methylation profile in idiopathic pulmonary fibrosis. Am J Respir Crit Care Med. 2012;186:525–35. https://doi.org/10.1164/rccm.201201-0077OC.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Rabinovich EI, Kapetanaki MG, Steinfeld I, Gibson KF, Pandit KV, Yu G, Yakhini Z, Kaminski N. Global methylation patterns in idiopathic pulmonary fibrosis. PLoS ONE. 2012;7: e33770. https://doi.org/10.1371/journal.pone.0033770.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Jones PA. Functions of DNA methylation: islands, start sites, gene bodies and beyond. Nat Rev Genet. 2012;13:484–92. https://doi.org/10.1038/nrg3230.

    Article  CAS  PubMed  Google Scholar 

  16. Schübeler D. Function and information content of DNA methylation. Nature. 2015;517:321–6. https://doi.org/10.1038/nature14192.

    Article  CAS  PubMed  Google Scholar 

  17. Yang X, Wang X, Liu D, Yu L, Xue B, Shi H. Epigenetic regulation of macrophage polarization by DNA methyltransferase 3b. Mol Endocrinol. 2014;28:565–74. https://doi.org/10.1210/me.2013-1293.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Wei A, Gao Q, Chen F, Zhu X, Chen X, Zhang L, Su X, Dai J, Shi Y, Cao W. Inhibition of DNA methylation de-represses peroxisome proliferator-activated receptor-γ and attenuates pulmonary fibrosis. Br J Pharmacol. 2022;179:1304–18. https://doi.org/10.1111/bph.15655.

    Article  CAS  PubMed  Google Scholar 

  19. Dodge JE, Okano M, Dick F, Tsujimoto N, Chen T, Wang S, Ueda Y, Dyson N, Li E. Inactivation of Dnmt3b in mouse embryonic fibroblasts results in DNA hypomethylation, chromosomal instability, and spontaneous immortalization. J Biol Chem. 2005;280:17986–91. https://doi.org/10.1074/jbc.M413246200.

    Article  CAS  PubMed  Google Scholar 

  20. Abram CL, Roberge GL, Hu Y, Lowell CA. Comparative analysis of the efficiency and specificity of myeloid-Cre deleting strains using ROSA-EYFP reporter mice. J Immunol Methods. 2014;408:89–100. https://doi.org/10.1016/j.jim.2014.05.009.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Qin W, Brands X, Veer C, de Vos AF, Scicluna BP, van der Poll T. DNA Methyltransferase 3b in Myeloid Cells Does Not Affect the Acute Immune Response in the Airways during Pseudomonas Pneumonia. Cells. 2022. https://doi.org/10.3390/cells11050787.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Weischenfeldt J, Porse B. Bone Marrow-Derived Macrophages (BMM): Isolation and Applications. CSH Protoc. 2008. https://doi.org/10.1101/pdb.prot5080.

    Article  PubMed  Google Scholar 

  23. Qin W, Brands X. van 't Veer C, F de Vos A, Sirard JC, J T H Roelofs J, P Scicluna B, van der Poll T: Bronchial epithelial DNA methyltransferase 3b dampens pulmonary immune responses during Pseudomonas aeruginosa infection. PLoS Pathog. 2021;17: e1009491. https://doi.org/10.1371/journal.ppat.1009491.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Lin C, Duitman J, Daalhuisen J, Ten Brink M, von der Thüsen J, van der Poll T, Borensztajn K, Spek CA. Targeting protease activated receptor-1 with P1pal-12 limits bleomycin-induced pulmonary fibrosis. Thorax. 2014;69:152–60. https://doi.org/10.1136/thoraxjnl-2013-203877.

    Article  PubMed  Google Scholar 

  25. Qin W, Crestani B, Spek CA, Scicluna BP, van der Poll T, Duitman J. Alveolar epithelial TET2 is not involved in the development of bleomycin-induced pulmonary fibrosis. FASEB J. 2021;35: e21599. https://doi.org/10.1096/fj.202002686RR.

    Article  CAS  PubMed  Google Scholar 

  26. Misharin AV, Morales-Nebreda L, Reyfman PA, Cuda CM, Walter JM, McQuattie-Pimentel AC, Chen CI, Anekalla KR, Joshi N, Williams K, Abdala-Valencia H, Yacoub TJ, Chi M, Chiu S, Gonzalez-Gonzalez FJ, Gates K, Lam AP, Nicholson TT, Homan PJ, Soberanes S, Dominguez S, Morgan VK, Saber R, Shaffer A, Hinchcliff M, Marshall SA, Bharat A, Berdnikovs S, Bhorade SM, Bartom ET, et al. Monocyte-derived alveolar macrophages drive lung fibrosis and persist in the lung over the life span. J Exp Med. 2017;214:2387–404. https://doi.org/10.1084/jem.20162152.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Otto NA, de Vos AF, van Heijst J, Roelofs J, van der Poll T. Myeloid Liver Kinase B1 depletion is associated with a reduction in alveolar macrophage numbers and an impaired host defense during gram-negative pneumonia. J Infect Dis. 2020. https://doi.org/10.1093/infdis/jiaa416.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Duitman J, Lin C, Moog S, Jaillet M, Castier Y, Cazes A, Borensztajn KS, Crestani B, Spek CA. CCAAT/enhancer binding protein delta (C/EBPδ) deficiency does not affect bleomycin-induced pulmonary fibrosis. J Clin Transl Res. 2018;3:358–65.

    Google Scholar 

  29. Ashcroft T, Simpson JM, Timbrell V. Simple method of estimating severity of pulmonary fibrosis on a numerical scale. J Clin Pathol. 1988;41:467–70. https://doi.org/10.1136/jcp.41.4.467.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Orecchioni M, Ghosheh Y, Pramod AB, Ley K. Macrophage Polarization: Different Gene Signatures in M1(LPS+) vs Classically and M2(LPS-) vs Alternatively Activated Macrophages. Front Immunol. 2019;10:1084. https://doi.org/10.3389/fimmu.2019.01084.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Braga TT, Agudelo JS, Camara NO. Macrophages During the Fibrotic Process: M2 as Friend and Foe. Front Immunol. 2015;6:602. https://doi.org/10.3389/fimmu.2015.00602.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Ye J, Wu Y, Guo R, Zeng W, Duan Y, Yang Z, Yang L. miR-221 Alleviates the Ox-LDL-Induced Macrophage Inflammatory Response via the Inhibition of DNMT3b-Mediated NCoR Promoter Methylation. Mediators Inflamm. 2019;2019:4530534. https://doi.org/10.1155/2019/4530534.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Xie N, Cui H, Ge J, Banerjee S, Guo S, Dubey S, Abraham E, Liu RM, Liu G. Metabolic characterization and RNA profiling reveal glycolytic dependence of pro-fibrotic phenotype of alveolar macrophages in lung fibrosis. Am J Physiol Lung Cell Mol Physiol. 2017. https://doi.org/10.1152/ajplung.00235.2017.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Gibbons MA, MacKinnon AC, Ramachandran P, Dhaliwal K, Duffin R, Phythian-Adams AT, van Rooijen N, Haslett C, Howie SE, Simpson AJ, Hirani N, Gauldie J, Iredale JP, Sethi T, Forbes SJ. Ly6Chi monocytes direct alternatively activated profibrotic macrophage regulation of lung fibrosis. Am J Respir Crit Care Med. 2011;184:569–81. https://doi.org/10.1164/rccm.201010-1719OC.

    Article  CAS  PubMed  Google Scholar 

  35. McCubbrey AL, Barthel L, Mohning MP, Redente EF, Mould KJ, Thomas SM, Leach SM, Danhorn T, Gibbings SL, Jakubzick CV, Henson PM, Janssen WJ. Deletion of c-FLIP from CD11b(hi) Macrophages Prevents Development of Bleomycin-induced Lung Fibrosis. Am J Respir Cell Mol Biol. 2017. https://doi.org/10.1165/rcmb.2017-0154OC.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Deshmane SL, Kremlev S, Amini S, Sawaya BE. Monocyte chemoattractant protein-1 (MCP-1): an overview. J Interferon Cytokine Res. 2009;29:313–26. https://doi.org/10.1089/jir.2008.0027.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Lyko F. The DNA methyltransferase family: a versatile toolkit for epigenetic regulation. Nat Rev Genet. 2018;19:81–92. https://doi.org/10.1038/nrg.2017.80.

    Article  CAS  PubMed  Google Scholar 

  38. Sennello Joseph A, Misharin Alexander V, Flozak Annette S, Sergejs B, Paul C, John V, Kamp David W, Scott BGR, Gottardi Cara J, Lam Anna P. Lrp5/β-Catenin Signaling Controls Lung Macrophage Differentiation and Inhibits Resolution of Fibrosis. Am J Respir Cell Mol Biol. 2017;56:9.

    Google Scholar 

  39. Larson-Casey JL, Deshane JS, Ryan AJ, Thannickal VJ, Carter AB. Macrophage Akt1 kinase-mediated mitophagy modulates apoptosis resistance and pulmonary fibrosis. Immunity. 2016;44:582–96. https://doi.org/10.1016/j.immuni.2016.01.001.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Sgalla G, Iovene B, Calvello M, Ori M, Varone F, Richeldi L. Idiopathic pulmonary fibrosis: pathogenesis and management. Respir Res. 2018;19:32. https://doi.org/10.1186/s12931-018-0730-2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Aran D, Looney AP, Liu L, Wu E, Fong V, Hsu A, Chak S, Naikawadi RP, Wolters PJ, Abate AR, Butte AJ, Bhattacharya M. Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage. Nat Immunol. 2019;20:163–72. https://doi.org/10.1038/s41590-018-0276-y.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Reyfman PA, Walter JM, Joshi N, Anekalla KR, McQuattie-Pimentel AC, Chiu S, Fernandez R, Akbarpour M, Chen CI, Ren Z, Verma R, Abdala-Valencia H, Nam K, Chi M, Han S, Gonzalez-Gonzalez FJ, Soberanes S, Watanabe S, Williams K, Flozak AS, Nicholson TT, Morgan VK, Winter DR, Hinchcliff M, Hrusch CL, Guzy RD, Bonham CA, Sperling AI, Bag R, Hamanaka RB, et al. Single-cell transcriptomic analysis of human lung provides insights into the pathobiology of pulmonary fibrosis. Am J Respir Crit Care Med. 2018. https://doi.org/10.1164/rccm.201712-2410OC.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Kulikauskaite J, Wack A. Teaching old dogs new tricks? The plasticity of lung alveolar macrophage subsets. Trends Immunol. 2020;41:864–77. https://doi.org/10.1016/j.it.2020.08.008.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Ehrhart IC, Parker PE, Weidner WJ, Dabney JM, Scott JB, Haddy FJ. Deletion of c-FLIP from CD11b(hi) macrophages prevents development of bleomycin-induced lung fibrosis. Am J Physiol. 2018;229:754–60. https://doi.org/10.1152/ajplegacy.1975.229.3.754.

    Article  Google Scholar 

  45. Morse C, Tabib T, Sembrat J, Buschur KL, Bittar HT, Valenzi E, Jiang Y, Kass DJ, Gibson K, Chen W, Mora A, Benos PV, Rojas M, Lafyatis R. Proliferating SPP1/MERTK-expressing macrophages in idiopathic pulmonary fibrosis. Eur Respir J. 2019;54:98. https://doi.org/10.1183/13993003.02441-2018.

    Article  CAS  Google Scholar 

  46. Pan W, Zhu S, Qu K, Meeth K, Cheng J, He K, Ma H, Liao Y, Wen X, Roden C, Tobiasova Z, Wei Z, Zhao J, Liu J, Zheng J, Guo B, Khan SA, Bosenberg M, Flavell RA, Lu J. The DNA methylcytosine dioxygenase Tet2 sustains immunosuppressive function of tumor-infiltrating myeloid cells to promote melanoma progression. Immunity. 2017;47:284-297.e5. https://doi.org/10.1016/j.immuni.2017.07.020.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. McErlean P, Bell CG, Hewitt RJ, Busharat Z, Ogger PP, Ghai P, Albers GJ, Calamita E, Kingston S, Molyneaux PL, Beck S, Lloyd CM, Maher TM, Byrne AJ. DNA methylome alterations are associated with airway macrophage differentiation and phenotype during lung fibrosis. Am J Respir Crit Care Med. 2021;204:954–66. https://doi.org/10.1164/rccm.202101-0004OC.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Chaudhary NI, Schnapp A, Park JE. Pharmacologic differentiation of inflammation and fibrosis in the rat bleomycin model. Am J Respir Crit Care Med. 2006;173:769–76. https://doi.org/10.1164/rccm.200505-717OC.

    Article  CAS  PubMed  Google Scholar 

  49. Moeller A, Ask K, Warburton D, Gauldie J, Kolb M. The bleomycin animal model: a useful tool to investigate treatment options for idiopathic pulmonary fibrosis. Int J Biochem Cell Biol. 2008;40:362–82. https://doi.org/10.1016/j.biocel.2007.08.011.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

We thank Marieke S. ten Brink for her assistance with the animal experiments.

Funding

W.Q is supported by the China Scholarship Council (CSC #201606170115); J.D was funded by the Netherlands Organization for Scientific Research with a VENI (number 016.186.046) Grant. The funding bodies had no role in the design of the study or collection, analysis, and interpretation of data or in writing the manuscript.

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Authors and Affiliations

  1. Center of Experimental and Molecular Medicine, Amsterdam University Medical Centers, University of Amsterdam, Meibergdreef 9, Room G2-130, 1105AZ, Amsterdam, The Netherlands

    Wanhai Qin, C. Arnold Spek, Brendon P. Scicluna & Tom van der Poll

  2. Department of Clinical Epidemiology, Biostatistics, and Bioinformatics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands

    Brendon P. Scicluna

  3. Division of Infectious Diseases, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands

    Tom van der Poll

  4. Department of Pulmonary Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands

    JanWillem Duitman

  5. Department of Experimental Immunology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands

    JanWillem Duitman

  6. Amsterdam Infection & Immunity, Inflammatory Diseases, Amsterdam, The Netherlands

    JanWillem Duitman

  7. Department of Applied Biomedical Science, Faculty of Health Sciences, Mater Dei Hospital, Centre for Molecular Medicine and Biobanking, University of Malta, Msida, Malta

    Brendon P. Scicluna

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Contributions

WQ, JD, and TvdP conceived and designed research; WQ and JD performed experiments, analyzed data, prepared figures, and drafted manuscript; WQ, JD, CAP, BPC and TvdP interpreted the results, edited and revised the manuscript, and approved the final version of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Wanhai Qin.

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Ethics approval and consent to participate

All animal studies were conducted according to the guidelines of the Declaration of Helsinki, and the animal care and use protocol adhered to the Dutch Experiments on Animals Act (WOD) and European Directive of 22 September 2010 (Di-rective 2010/63/EU) in addition to the Directive of 6 May 2009 (Directive 2009/41/EC). The animal studies were reviewed and approved by the Central Authority for Scientific Procedures on Animals (CCD), and the Animal Ethical Committee (DEC) and the Animal Welfare Body (IvD) of the Academic Medical Center Amsterdam; approval code DIX243D (approved 2019).

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Qin, W., Spek, C.A., Scicluna, B.P. et al. Myeloid DNA methyltransferase3b deficiency aggravates pulmonary fibrosis by enhancing profibrotic macrophage activation. Respir Res 23, 162 (2022). https://doi.org/10.1186/s12931-022-02088-5

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Respiratory Research

ISSN: 1465-993X

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