Abstract
Idiopathic pulmonary fibrosis (IPF) is a progressive fibrotic lung disease without effective curative therapy. Recent evidence shows increased circulating myeloid-derived suppressor cells (MDSCs) in cancer, inflammation, and fibrosis, with some of these cells expressing B7H3. We sought to investigate the role of MDSCs in IPF and its potential mediation via B7H3. Here we prospectively collected peripheral blood samples from IPF patients to analyze for circulating MDSCs and B7H3 expression to assess their clinical significance and potential impact on co-cultured lung fibroblasts and T-cell activation. In parallel, we assess MDSC recruitment and potential B7H3 dependence in a mouse model of pulmonary fibrosis. Expansion of MDSCs in IPF patients correlated with disease severity. Co-culture of soluble B7H3 (sB7H3)-treated mouse monocytic MDSCs (M-MDSCs), but not granulocytic MDSCs (G-MDSCs), activated lung fibroblasts and myofibroblast differentiation. Additionally, sB7H3 significantly enhanced MDSC suppression of T-cell proliferation. Activated M-MDSCs displayed elevated TGFβ and Arg1 expression relative to that in G-MDSCs. Treatment with anti-B7H3 antibodies inhibited bone marrow-derived MDSC recruitment into the bleomycin-injured lung, accompanied by reduced expression of inflammation and fibrosis markers. Selective telomerase reverse transcriptase (TERT) deficiency in myeloid cells also diminished MDSC recruitment associated with the reduced plasma level of sB7H3, lung recruitment of c-Kit+ hematopoietic progenitors, myofibroblast differentiation, and fibrosis. Lung single-cell RNA sequencing (scRNA-seq) revealed fibroblasts as a predominant potential source of sB7H3, and indeed the conditioned medium from activated mouse lung fibroblasts had a chemotactic effect on bone marrow (BM)-MDSC, which was abolished by B7H3 blocking antibody. Thus, in addition to their immunosuppressive activity, TERT and B7H3-dependent MDSC expansion/recruitment from BM could play a paracrine role to activate myofibroblast differentiation during pulmonary fibrosis with potential significance for disease progression mediated by sB7H3.
Keywords: B7H3, TERT, lung, fibrosis, myeloid-derived suppressor cell (MDSC)
Introduction
Fibroproliferative interstitial lung disease (ILD), such as idiopathic pulmonary fibrosis (IPF), is a chronic progressive disease often resulting in end-stage disease with a fatal outcome (1). It is characterized by mesenchymal cell recruitment, proliferation, and activation with de novo emergence and persistence of myofibroblasts (2, 3). Accumulating evidence suggests the importance of bone marrow (BM)-derived cells in fibrotic lung disease (4–9). Recruited hematopoietic progenitor cells (HPCs), HPC-derived innate lymphoid cells, and Ly6C+ monocytic cells promote lung fibrosis upon activation probably via paracrine mechanisms (6–9). BM-derived Ly6C+ cell recruitment into injured lung exacerbates bleomycin (BLM)-induced pulmonary fibrosis in a B7H3-dependent manner (8, 10).
In addition to its well-known role in host defense, myeloid cells are important in tissue remodeling (11). Of recent interest is myeloid-derived suppressor cells (MDSCs), which can negatively regulate immune responses in various diseases (11). MDSCs consist of two distinct subpopulations, monocytic MDSC (M-MDSC) and granulocytic MDSC (G-MDSC), as defined by certain cell surface markers (11, 12). In humans, these immunosuppressive MDSCs are characterized by the expression of CD33 and CD11b but lack markers of mature myeloid and lymphoid cells and the MHC class II molecule HLA-DR (CD33+CD11b+HLA-DR−/lo) (13–16). M-MDSC and G-MDSC are distinguished by CD14 and CD15 expression, respectively. Mouse M-MDSC is phenotypically CD11b+Ly6G−Ly6Chi with low side scatter, whereas G-MDSC is CD11b+Ly6G+Ly6C−/lo with high side scatter (16, 17). Expansion of MDSCs in peripheral blood is noted in certain conditions, including cancer (18, 19), chronic infection, inflammation, tissue damage, and remodeling (20–22). Notably, some of these conditions correlated with type 2 immune responses (21, 23). In cancer, MDSCs exert direct immunosuppressive functions against T and NK cells, while simultaneously recruiting T regulatory cells to further enhance immunosuppression. Moreover, they promote tumor invasion and metastasis through their purported angiogenic activities (16). Similarly increased circulating MDSCs occur in pulmonary hypertension and IPF (24, 25), which correlates with disease progression. However, the mechanism and significance of MDSC recruitment in lung injury and fibrosis remain unclear.
In this study, we presented evidence of increased circulating and lung MDSC recruitment mediated by B7H3, which could play significant paracrine roles in lung inflammation and fibrosis by promoting myofibroblast differentiation and an as-yet-unknown role associated with MDSC immunosuppressive capacity. Moreover, this novel finding has implications for the immunosuppressive role of B7H3 in cancer as mediated by MDSCs.
Materials and methods
Human subjects and peripheral blood cell isolations
Peripheral blood samples were obtained from 69 patients with IPF and five normal controls recruited from the University of Michigan Medical School hospital. All IPF patients had a confirmed diagnosis and met the criteria for the diagnosis as established by the American Thoracic Society (ATS) and the European Respiratory Society (ERS) (26). The patient demographics are shown in Table 1 (more detailed clinical data are provided in the Supplementary Material). Human peripheral whole blood cells were collected after red blood cell lysis using red blood cell (RBC) lysis buffer (Cat# 00-4300-54, eBioscience Inc., San Diego, CA, USA). Peripheral blood mononuclear cells (PBMCs) were isolated by using BD Vacutainer™ mononuclear cell preparation (CPT) tubes (Cat# 02-685-125, Thermo Fisher Scientific, Waltham, MA, USA). Freshly isolated cells were resuspended in flow cytometry staining buffer (fluorescence-activated cell sorting (FACS), 1% bovine serum albumin (BSA) in phosphate-buffered saline (PBS) buffer) and then used for flow cytometry analysis on the same day for both whole blood cells and PBMCs.
Table 1.
Subject type | N | Agemean (range) | Sex | Ethnicity | Treatment | DLCO, % predicted |
---|---|---|---|---|---|---|
IPF | 69 | 65 (43–89) | F: 21 | Non-Hispanic: 68 Others: 1 |
Yes: 47 | 57.04 ± 15.4 |
M: 49 | No: 22 | |||||
Normal Control | 5 | 60 (50–71) | F: 4 | Non-Hispanic: 3 Others: 2 |
||
M: 1 |
DLCO, diffusing capacity of the lungs for carbon monoxide; IPF, idiopathic pulmonary fibrosis.
Animal model studies
Floxed telomerase reverse transcriptase (Tert fl/fl) on a C57BL/6J background was generated as previously described (27). To generate a myeloid cell-specific Tert knockout (KO) mouse, the floxed Tert mice were crossed with LysM-Cre mice (B6.129P2-Lyz2tm1(cre)Ifo /J, stock #004781, Jackson Laboratory, Bar Harbor, ME, USA) that were backcrossed to C57BL/6 mice for at least six generations. The genotype of Tert fl/fl, Cre−/+ mice was confirmed by PCR (data not shown), and the resulting LysM-expressing myeloid-specific Tert KO mice were used for the BLM model studies. Pulmonary fibrosis was induced in these Tert KO or relevant control LysM-Cre+/− mice (referred to as wild type (WT) for simplicity) with BLM (Mead Johnson, NJ, USA) dissolved in sterile PBS by endotracheal instillation on day 0 at a dose of 2 units/kg body weight as before (28). Animals were randomly assigned to the indicated treatment groups (n = 5~10 mice in each group). The mice were euthanized on day 7 after BLM treatment, and the lungs were harvested rapidly for tissue RNA isolation and lung single cell isolation, or on day 21 for hydroxyproline assay and histopathological examination.
To assess the importance of B7H3 in vivo, blocking antibodies to mouse B7H3 (Bio X cell, Lebanon, NH, USA; Cat# BE0124; Clone# MJ18) or its isotype control rat IgG1 were injected into the mice i.v. via tail veins, every other day starting on day 1 after BLM treatment (0.3 mg/mouse). The mice were euthanized on day 7 after BLM treatment, and their lungs were harvested rapidly for RNA and single-cell isolation for flow cytometry analysis.
Mouse lung fibroblasts (MLFs) were isolated using a digestion cocktail containing collagenase III and DNase I (Worthington Biochemical Crop., Lakewood, NJ, USA) and maintained in Dulbecco’s modified Eagle’s medium (DMEM) supplemented with 10% plasma-derived fetal bovine serum (PDS; Animal Technologies, Tyler, TX, USA), 10 ng/ml of epidermal growth factor (EGF) and 5 ng/ml of platelet-derived growth factor (PDGF) (R&D Systems, Inc. Minneapolis, MN, USA) as before (29). The whole-lung single-cell suspension was prepared by digesting lung tissue using the same digestion cocktail and then resuspended in FACS buffer for flow cytometry analysis.
Flow cytometry and cell sorting
For analysis of human circulating MDSCs, white blood cells and PBMCs were blocked first with anti-human FcγR (CD16/CD32) (clone: HP6017, Cat# 409302, BioLegend, San Diego, CA, USA) and then stained with a six−color cocktail of antibodies comprised of HLA-DR-Brilliant Violet (BV) 421 (clone L243, Cat# 307636), CD33-APCCy7 (clone P67.6, Cat# 366614), CD11b-BV 510 (clone M1/70, Cat# 101263), CD14-FITC (clone 63D3, Cat# 367116), CD15-PECy7 (clone HI98, Cat# 301906), CD84-PE (clone CD84.1.21, Cat# 326008), or B7H3-PE (clone DCN70, Cat# 331606). These antibodies were all purchased from BioLegend (San Diego, CA, USA). White blood cells were also stained for regulatory T cells using CD4-APC (clone A161A1, Cat# 357408, BioLegend), CD25-APCCy7 (clone BC96, Cat# 302614, BioLegend), and Foxp3-AF488 (clone MF-14, Cat# 126405, BioLegend). The data were then acquired with a NovoCyte flow cytometer and analyzed by NovoExpress software (Acea Biosciences, Inc., San Diego, CA, USA). MDSC gating strategy consisted of initial gating based on HLA-DR expression. The HLA-DR−/lo population was then analyzed for the myeloid markers CD11b and CD33. Thus, the human total MDSCs were defined as HLA-DR−/loCD11b+CD33+ cells comprised of the granulocytic subpopulation MDSC (G-MDSC) phenotypically further analyzed as CD15+CD14−, and the M-MDSC with a CD14+CD15− phenotype. These MDSC subpopulations in peripheral blood samples were counted and shown as a percentage of the total number of leukocytes or PBMCs. Mouse whole-lung single-cell suspension was stained with BioLegend antibodies CD45-PECy7 (clone 30-F11, Cat# 103114), ckit-PE (clone 2B8, Cat# 105808), and lineage cocktail-APC (Cat# 558074, BD Biosciences, Franklin Lakes, NJ, USA) for HPCs. The cells were stained with CD11b-BV 510 (clone M1/70, Cat# 101263) and Gr1-BV421 (clone RB6-8C5, Cat# 108433) for identification and quantification of the MDSC population. Mouse MDSC population was gated as CD11b+Gr1+ cells and HPCs as lineage−CD45+ckit+ cells. Where indicated in soluble B7H3 (sB7H3)-treated BM cells, the cells were first gated by CD11b, and CD11b+ BM cells were then gated by CD84. G-MDSC or M-MDSC cells were analyzed in these CD84+ populations. The data were acquired and analyzed as described above for human cells. For mouse cell sorting, whole-lung single-cell suspension was stained as indicated by the following antibodies from BioLegend: CD45-PECy7, CD11b-BV510, Ly6C-FITC (clone HK1.4, Cat# 128006), and Ly6G-BV421 (clone 1A8, Cat# 127628). Lung CD45+, M-MDSC (CD11b+Ly6ChiLy6G−), and G-MDSC (CD11b+Ly6C-/loLy6G+) cell sorting was performed using a Sony MA900 Cell Sorter (Sony Biotechnology, San Jose, CA, USA). For all human and mouse cell staining and sorting, the respective isotype controls conjugated with the same fluorochrome as their respective antibodies and each single-color antibody were included in the antibody mixes. Fluorescence minus one (FMO) controls were used for the rare populations of B7H3-PE and ckit-PE. These controls were used for cell gating.
Real-time quantitative RT-PCR
For quantitative mRNA analysis, total RNA was isolated from lung tissue, fibroblasts, or sorted MDSC. The primers and TaqMan probes of the following genes were purchased from Applied Biosystems (Carlsbad, CA, USA): mouse TERT (Tert), type I procollagen (Col1a2), α-SMA (Acta2), TGFβ (Tgfb), and 18S rRNA. For each qPCR assay, 100 ng of sample total RNA was used as a template, and 50 ng of 18S rRNA was used as an internal control to normalize the amount of input RNA. Results were expressed as 2−ΔΔCT as previously described (30).
Transwell co-culture
Primary isolated MLFs (at passages 2–5) were plated in the bottom chambers of 12-well transwell plates with a pore size of 0.4 µm (BD Biosciences) at a density of 1 × 105 cells/well 24 h prior to co-culture. BM cells were treated with granulocyte-macrophage colony-stimulating factor (GM-CSF) (0.01 µg/ml) combined with sB7H3 (4 µg/ml) or stem cell factor (SCF) (0.1 µg/ml, R&D Systems) for 3 days and then subjected to cell sorting to isolate MDSCs. The sorted G-MDSC and M-MDSC (1 × 105 cells/insert) were added to the upper inserts of the plates, and the cells were co-cultured for an additional 48 h. The MLFs in the bottom wells were harvested for RNA isolation. A small portion of G-MDSCs and M-MDSCs not used in the co-culture were also collected for RNA isolation.
Cell migration assay
Cell migration assays were performed using FluoroBlok™ 96-Multiwell Insert Plates with 3.0 µm High Density PET Membrane (#351161, Thermo Fisher Scientific, Waltham, MA, USA) as described before (10). The CD11b+Gr1+ MDSCs were isolated using the EasySep™ Mouse Myeloid-Derived Suppressor Cell Isolation kit (#19867, Stemcell Technologies, Cambridge, MA, USA) according to the manufacturer’s instructions. The isolated cells were prelabeled with 5 μM of calcein AM (#564061, BD Biosciences, San Jose, CA, USA) and then were seeded in the upper chamber at the density of 1 × 105/50 µl/insert. Normal MLFs were cultured with or without (control) TGFβ treatment (10 ng/ml) for 24 h. The media containing residual TGFβ were removed, and after washing, fresh media were added. Conditioned media (CMs) were collected after an additional 48 h. The control or TGFβ-treated MLF CMs were incubated with B7H3 blocking antibody (15 µg/ml) or isotype IgG and then added to the lower chamber of the plates. The plates were incubated for 18 h followed by fluorescence measurement using SpectraMax Gemini EM Microplate Reader (Molecular Devices, San Jose, CA, USA).
T-cell suppression assay
Freshly isolated mouse BM cells were treated with GM-CSF and sB7H3 as described above. The control cell was treated with GM-CSF only. Three days later, the CD11b+Gr1+ MDSCs were isolated/purified using the EasySep™ Mouse Myeloid-Derived Suppressor Cell Isolation kit (Stemcell Technologies) according to the manufacturer’s instructions. Splenocytes isolated from mouse spleen were pre-labeled with 5 µM of proliferation dye carboxyfluorescein succinimidyl ester (CFSE) (BD Biosciences) and then co-cultured with GM-CSF/sB7H3-activated MDSC (1:1 ratio) in the presence of CD3/28 Dynabeads (Life Technology, Thermo Fisher Scientific) and 50 U/ml of rmIL2 (R&D Systems) for 3 days. The cells were collected and stained with CD4-BV421 (BioLegend, Cat# 100437, clone GK1.5) and CD8-APC (BioLegend, Cat# 100711, clone 53-6.7). The intensity of incorporated CFSE in CD4+ and CD8+ populations was analyzed by flow cytometry as described above.
Hydroxyproline assay and histopathological analysis
Whole-lung collagen content was evaluated by measuring the hydroxyproline content from the lung homogenates as described previously (31, 32). The results were expressed as µg HYP per lung.
For fibrosis examination, the lungs were inflated by intratracheal perfusion and fixed for 24 h with 10% buffered formaldehyde. Lung tissue was then paraffin-embedded, sectioned, and stained with hematoxylin and eosin (H&E).
Soluble B7H3 ELISA
The levels of sB7H3 in mouse plasma samples were measured using an ELISA kit (LS BioSciences, Inc., Seattle, WA, USA), in accordance with the manufacturer’s protocol.
Statistical analysis
All data were expressed as mean ± SD unless otherwise indicated. Differences between means of various treatment and control groups were assessed for statistical significance by analysis of ANOVA with Tukey’s multiple comparisons. Associations between variables were established by linear regression and Pearson’s correlation with a two-tailed p-value using GraphPad Prism (version 8.0.2, GraphPad Software, San Diego, CA, USA). p < 0.05 was considered to indicate statistical significance.
Study approval
The human studies were reviewed and approved by the Institutional Review Board at the University of Michigan. Informed consent was obtained from each patient or normal volunteer. All animal studies were reviewed and approved by the Institutional Animal Care and Use Committee at the University of Michigan.
Results
Increased myeloid-derived suppressor cells in peripheral blood of patients with idiopathic pulmonary fibrosis
Total leukocytes and PBMCs isolated from freshly drawn peripheral blood samples were analyzed for MDSCs (defined as HLA-DR−/lo/CD33+/CD11b+ cells) and its two major subpopulations, G-MDSC (CD14−CD15+CD11b+CD33+HLA-DR−/lo) and M-MDSC (CD14+CD15−CD11b+CD33+HLA-DR−/lo) using the gating strategy shown in Figure 1A . Almost all CD33hi MDSCs were CD14 positive, while the CD33lo MDSCs were CD15 positive ( Figure 1B ). The percentages of all three MDSC populations were determined in both total leukocyte and PBMC fractions from the flow cytometry analysis. The results showed that the percentages of total MDSC (mean = 9.7%) and subpopulations G-MDSC (mean = 8.1%) and M-MDSC (mean = 0.73%) were all significantly and highly increased in samples from patients with IPF (p < 0.05 for all), relative to those from control subjects, wherein MDSCs were barely detectable ( Figures 2A, B ). There was a greater abundance (>10-fold on the average) of the G-MDSC subpopulation in the total leukocyte samples relative to M-MDSCs (76.4% vs. 13.2%), with greater patient-to-patient variability in the former vs. the latter ( Figure 2C ). Consequently, the markedly increased total MDSC in IPF patient samples was mostly due to the increase in G-MDSC. However, in the PBMC samples wherein the granulocytic fraction had been removed, the percentages of total MDSC (0.4 vs. 1.1%, p < 0.0001) and G-MDSCs (0.1 vs. 0.17, p < 0.05) were much lower relative than those before removal of granulocytes but remained higher in IPF vs. control samples ( Figure 2D ). In contrast, the frequencies of M-MDSC in PBMCs were essentially unchanged after the removal of granulocytes (0.17 vs. 0.81%, p < 0.001); thus, the level of circulating MDSCs was significantly elevated in the peripheral blood of IPF patients.
In further analysis of the MDSC subpopulations, we evaluated CD84 expression, which characterizes a novel MDSC subpopulation recently identified in breast cancer (33). Flow cytometric analysis of IPF patient blood samples revealed the presence of such a CD84+ population comprising 27.2% of total leukocytes, while 20.5% of the MDSC fraction was positive for CD84 ( Figure 2E ). Only ~8.4% of G-MDSCs were positive for CD84, and almost all M-MDSCs were uniformly CD84+ ( Figure 2F ). Thus, CD84 expression represented an additional phenotypic characteristic of M-MDSCs.
Increased circulating myeloid-derived suppressor cells, Tregs, and lung function in idiopathic pulmonary fibrosis
We analyzed for any correlation of circulating MDSCs and Tregs with several lung function parameters, including the diffusing capacity of the lungs for carbon monoxide (DLCO), forced expiratory volume (FEV), and forced vital capacity (FVC). Initial evaluation revealed the absence of a significant association between MDSC abundance in the circulation and patients’ age, gender, FEV, or FVC (data not shown). However, the increased frequency of MDSC ( Figure 3A ) and G-MDSC ( Figure 3B ) in IPF blood samples significantly correlated with decreased DLCO, while M-MDSC abundance did not significantly (p-value = 0.07) correlate with DLCO ( Figure 3C ). Interestingly, upon segregation into treated (with pirfenidone or nintedanib or both) and untreated groups, only the M-MDSC abundance in IPF patients without clinical treatment was significantly negatively associated with DLCO ( Figure 3D ). Moreover, the M-MDSC frequency in this untreated group, but not that for total MDSC or G-MDSC, was significantly higher than that in treated patients. The difference became insignificant after the removal of the top two data points in the untreated group ( Figure 3E ). These results indicated a potential association between the abundance of MDSC and its subpopulations and the stage of disease progression and response to therapy. A larger number of cases may be needed to achieve statistical significance.
MDSCs play an immunosuppressive role in cancer and other chronic conditions (11, 18). Further analysis revealed that the emergence of MDCS in the total leukocyte samples was positively correlated with an increased number of circulating regulatory CD4+CD25+ T cells ( Figure 3F ). Similarly, both subpopulations of M-MDSC and G-MDSC exhibited positive correlations with CD4+CD25+ T cells ( Figures 3G, H ). Almost all CD25+ cells were positive for Foxp3, but only a small fraction was triple the CD4+CD25+Foxp3+ population within CD3+ T cells (data not shown). Similar results were obtained upon analysis of the PBMC samples (data not shown), suggesting a potentially immunosuppressive regulatory role for MDSC in IPF patients. Since B7H3 (CD276) is implicated in the mediation of expansion and migration of BM-derived MDSCs and IPF exacerbation (8, 10), we analyzed additionally for circulating B7H3+ cells in peripheral blood samples of IPF patients. The results showed that the increased number of B7H3+ cells was associated with the increased frequency of total MDSC in the total leukocyte samples ( Figure 3I ). The positive correlation with B7H3+ cells was also shown in both G-MDSC ( Figure 3J ) and M-MDSC subpopulations ( Figure 3K ), wherein M-MDSC accumulation showed a stronger correlation (r = 0.59) than G-MDSC (r = 0.39). These results indicated that B7H3-expressing cells were associated with the expansion of MDSC, especially with M-MDSC.
Soluble B7H3 enhanced myeloid-derived suppressor cell promotion of lung fibroblast activation/myofibroblast differentiation and suppression of T-cell proliferation
The paracrine significance of B7H3 expression on MDSCs may be mediated by its membrane metalloproteinase-induced shedding as sB7H3 (34). To investigate this, MLFs were co-cultured with BM-derived G-MDSCs (CD11b+Ly6C-/loLy6G+) or M-MDSCs (CD11b+Ly6ChiLy6G−) treated with either sB7H3 or SCF. Treatment with sB7H3 activated both G-MDSCs and M-MDSCs to significantly stimulate type I collagen expression in the co-cultured MLFs with a greater effect from M-MDSCs and only a modest effect from G-MDSCs ( Figure 4A ). Treatment with sB7H3 also activated M-MDSCs but not G-MDSCs to induce α-smooth muscle actin (α-SMA) expression in MLFs, indicative of myofibroblast differentiation ( Figure 4B ). Additionally, MLF TGFβ expression was induced by sB7H3-activated MDSCs, again with greater effect from M-MDSCs than G-MDSCs ( Figure 4C ). SCF had no significant effects on MDSC’s ability to induce either α-SMA or TGFβ in MLFs. The greater impact of sB7H3-treated M-MDSCs on co-cultured myofibroblast differentiation correlated with the significantly higher level of TGFβ expression relative to that in G-MDSCs ( Figure 4D ). These findings indicated that sB7H3-activated MDSC played a greater role in fibroblast activation and differentiation, a key event fibrosis formation, probably via paracrine release of TGFβ after activation.
To assess the in vivo importance of B7H3 in MDSC expansion during fibrosis, B7H3 blocking antibodies were injected (i.v.) into mice after BLM treatment. The results showed significantly increased CD45+ M-MDSCs and G-MDSCs in BLM-treated lungs, which were virtually abolished in animals treated with B7H3 blocking antibodies ( Figure 4E ). Total lung cell number was also decreased by this antibody treatment ( Figure 4F ), which was accompanied by a significant reduction in mRNA levels of TNFα, collagen I, and α-SMA ( Figure 4G ). Thus, B7H3 neutralization essentially eliminated BLM-induced BM-derived MDSC recruitment and a significant reduction in lung inflammatory and fibrotic responses.
To analyze the impact on MDSC immunosuppressive activity, mouse BM-derived CD11b+Gr1+ MDSCs without or with sB7H3 treatment were co-cultured with mouse splenocytes. The results showed that as expected, both CD4+ and CD8+ T-cells significantly proliferated in response to CD3/28 microbeads plus IL2 stimulation. Their proliferation was significantly suppressed by >60% in CD4+ and 70% in CD8+ T cells when co-cultured with MDSCs, which was significantly enhanced upon co-culture with sB7H3-treated MDSCs ( Figure 4H ). In addition to confirming MDSC immunosuppressive activity, these findings revealed a novel property of sB7H3 in the upregulation of this MDSC functionality. Since CD84 is a putative indicator of M-MDSC immunosuppressive activity (33), we evaluated the effect of sB7H3 on MDSC CD84 expression. Indeed sB7H3 treatment caused an increase in CD84-expressing M-MDSCs but a decline in the CD84-expressing G-MDSCs ( Figure 4I ). Thus, sB7H3-induced enrichment of the CD84+ M-MDSC population could potentially contribute to the enhanced immunosuppressive activity of M-MDSC.
Cellular sources of B7H3 in fibrotic lung were revealed by single-cell RNA sequencing
To localize B7H3-expressing cells in injured lung, we reanalyzed single-cell RNA sequencing (scRNA-seq) data from the online database at IPF Cell Atlas (35) (GEO accession: GSE128033). In IPF, B7H3 gene (CD276)-expressing signals were observed mainly in fibroblasts/myofibroblasts, macrophages, and type I/II alveolar epithelial cells in the stromal, immune, and epithelial cell clusters, respectively ( Figure 5A ). Moreover, the expression level of CD276 was elevated in these noteworthy cell clusters in IPF lung samples compared to those of control subjects ( Figure 5B ). Analysis of another scRNA-seq dataset showed a similar elevated expression pattern for CD276 (36) (GEO accession: GSE134692). Interestingly, these analyses revealed a close association between the expression of CD276 and myofibroblast differentiation markers, including α-SMA (ACTA2) and type I pro-collagen (COL1A1) in the fibroblast/myofibroblast clusters in the large stromal cluster ( Figure 5C ). Consistently, scRNA-seq analysis of transcriptomic signature of mouse lung fibroblasts using combined datasets from fibroXplorer.com (37) also revealed a close correlation among the expression signals of Cd276, Col1a1, and Acta2, mainly within three transcriptionally distinct sub-clusters identified as Npnt+, Hhip+, and Lrrc15+ fibroblasts ( Figure 5D ). These data identified the major cellular sources for induced B7H3 in the injured lung as being closely associated with differentiated myofibroblasts in both human and mouse lung fibrosis. Accordingly, we next sought to test this possibility by evaluating lung fibroblasts as a potential source of B7H3-dependent MDSC chemotactic activity, especially since B7H3 mRNA expression is elevated in fibroblasts isolated from the fibrotic lung or when treated with TGFβ (10). The results showed that TGFβ-treated MLF CMs significantly induced MDSC migration compared to the control CMs from untreated MLF, which was abolished by pre-incubation with neutralizing antibodies to B7H3 ( Figure 5E ). This finding is consistent with the lung myofibroblast as a source of B7H3 with chemotactic activity for MDSCs and their consequent recruitment to the lung.
Myeloid TERT deficiency impaired myeloid-derived suppressor cell expansion/recruitment and reduced lung fibrosis
TERT is a determinant for the proliferation and mobilization of HPCs (38–40), which are precursors of MDSCs (41, 42). To evaluate the role of myeloid cells and MDSCs in vivo, we generated a myeloid-specific LysM-Cre/Tert KO mouse line by crossing LysM-Cre with floxed Tert mice to explore the role of LysM-expressing myeloid cell-derived TERT on MDSC origination and expansion along with its impact on fibrosis. All WT and Cre/Tert KO mice survived up to day 21 after BLM treatment when the animals were euthanized for sample collection. The results confirmed that TERT expression was significantly ablated (~75% reduction) in BM and lung CD45+ cells of LysM-Cre/Tert KO as compared to WT mice ( Figure 6A ). BLM-induced lung injury caused a significant accumulation of MDSCs in WT mouse lungs (3.9 vs. 9.6% in PBS vs. BLM-treated mice), which was substantially reduced (4.2% vs. 5.4%) in myeloid cell TERT-deficient mice ( Figure 6B ). Furthermore, BLM-induced expansion of the lung ckit+-HPC (c-Kit+ CD45+lineage−) population observed in WT mice was also reduced in myeloid cell TERT-deficient mice ( Figure 6C ). Notably, this reduction in BLM-induced lung myeloid cell progenitor and MDSC expansion was accompanied by a significant reduction in plasma level of sB7H3 ( Figure 6D ).
Moreover, BLM-induced lung fibrosis in WT mice was significantly reduced in myeloid cell TERT-deficient mice as manifested by several markers of fibrosis, including α-SMA (Acta2), type I collagen (col1a2), and TGFβ (Tgfb) ( Figure 6E ). Consistently, the BLM-induced increase in lung hydroxyproline content was also essentially abrogated by TERT deficiency in the myeloid cell compartment ( Figure 6F ). The reduction in fibrosis was also manifested morphologically with smaller fibrotic lesions noted in the lungs of myeloid cell TERT-deficient mice ( Figure 6G ). These findings together suggested the potential importance of TERT in myeloid MDSC origination and expansion/accumulation in the injured/fibrotic lungs, likely by regulating HPC expansion and thus MDSC expansion/recruitment to the lung of consequence to subsequent fibrosis.
Discussion
Chronic fibrotic interstitial lung diseases such as IPF often rapidly progress to end-stage disease and fatal outcomes with limited treatment options (1, 43, 44). Recent evidence suggests that the expansion/accumulation of MDSCs may be involved in diverse pathogenic processes, including cancer, inflammation, and tissue injury, as well as IPF and pulmonary hypertension (11, 24, 25). Here we confirmed that circulating MDSCs were significantly elevated in the peripheral blood of patients with IPF, which correlated with diminished lung function and elevated circulating Tregs and B7H3-expressing cells. Further investigation revealed that sB7H3 could recruit/activate MDSCs to promote mouse lung fibroblast activation and differentiation in a paracrine manner potentially through TGFβ. Moreover, sB7H3 enhanced MDSC suppression of T-cell proliferation. In vivo, the importance of B7H3-dependent recruitment of MDSCs is revealed by evidence of diminished pulmonary fibrosis and myofibroblast differentiation in myeloid cell-specific TERT-deficient mice, which exhibited deficient lung MDSC expansion and recruitment in response to BLM-induced lung injury, along with a reduced level of plasma sB7H3. These findings suggested the potential importance of the observed elevated circulating MDSCs in IPF pathogenesis, with implications for their potential as a biomarker and/or therapeutic target in the management of IPF patients ( Figure 7 ).
The MDSC population is highly heterogeneous and initially described as a loosely defined group of myeloid cells with immunosuppressive activity, especially in relation to T cells (11, 25, 33, 45, 46). The increase in MDSCs was associated with elevated circulating CD4+CD25+ regulatory T cells in IPF patient blood samples, especially with the elevation in M-MDSCs. Interestingly, virtually all of the M-MDSCs express CD84, thus resembling a novel suppressive CD84+ cell population identified recently in both human and murine MDSCs generated in vitro by GM-CSF treatment (33). CD84hi-MDSCs exhibit more robust T-cell suppression and reactive oxygen species (ROS) production compared with CD84−/lo cells, which suggests that CD84 expression is a robust indicator of MDSC capacity (33), and consistent with the observation that M-MDSCs are more immunosuppressive than G-MDSCs in tumor-bearing mice (46, 47). Moreover sB7H3-activated MDSC enhanced suppression of T-cell proliferation, associated with enrichment of the CD84+ M-MDSC population. This might be relevant to the highly enriched CD84+ M-MDSC in IPF patient blood samples where the sB7H3 level was significantly increased. The significance of this MDSC immunosuppressive function in IPF is uncertain but likely to be due to the profibrogenic factors, such as TGFβ, also produced by these cells. This may be mediated by the elevated plasma level of sB7H3, since treatment with B7H3 blocking antibody eliminated BM-derived MDSC recruitment. In addition, consistent with our findings of sB7H3 ability to enhance MDSC immunosuppressive activity, a recent study shows that treatment with the same B7H3 antibody potently eliminates cancer stem cells and inhibits metastasis by enhancing CD8+ T cell-mediated antitumor immunity (48).
MDSCs appear to have multiple diverse roles in cancer, infection, and tissue injury and repair (20–22, 24, 49). MDSC numbers are positively correlated with clinical cancer stage, tumor burden, and poorer outcomes in various cancers, including colorectal carcinomas, breast, bladder, and non-small cell lung cancer (NSCLC) (11, 21, 50). We found that the increase of total MDSC and both subpopulations of G-MDSC and M-MDSC in the peripheral blood leukocytes of IPF patients correlated to a certain degree with a decline in lung function (DLCO) in patients with IPF. This is consistent with a previous study showing that MDSC levels inversely correlate with lung maximum vital capacity only in IPF, but not in non-IPF ILD. The proportion of M-MDSC, but not G-MDSC, is elevated in whole blood samples of IPF patients, while total MDSC accumulation is higher in IPF and non-IPF interstitial lung disease (25). In contrast, another study shows an increase in circulating CXCR2-expressing G-MDSCs but not M-MDSCs in IPF, as well as in mouse models of lung fibrosis and hypertension (24). Nevertheless, these findings together provide evidence that the expansion or accumulation of circulating MDSCs is a significant finding in IPF, despite the discrepancy in the relative increases of the MDSC subpopulations. The basis for the discrepancy is unclear but may be due to differences in the markers used for cell type identification, sample collection at different disease stages, or different therapies that patients received. Interestingly, the accumulation of circulating MDSC was also associated with an increased number of B7H3+ cells, which is suggested as a mediator for monocytic cell expansion and exacerbation of IPF (8, 10). In addition to expanded circulating MDSCs in IPF, CD33+CD11b+ cells are present in fibrotic lesions neighboring α-SMA-positive areas in the lung parenchyma (25). Consistent with this observation, our study also revealed that MDSC recruitment into fibrotic lung tissue was significantly increased upon BLM treatment. Together with both in vitro and in vivo findings of sB7H3-enhanced MDSC activation on myofibroblast differentiation, this evidence suggested the potential diverse roles of MDSCs in the promotion of fibrosis, in addition to their immunosuppressive function (24, 51). Together, these findings suggest that the abundance of MDSC and the level of plasma sB7H3 may represent useful prognostic biomarkers for disease severity and/or progression, and perhaps also as targets for therapeutic intervention to reduce or eliminate MDSC abundance.
The mechanism of MDSC expansion and activation in IPF is unclear. The findings suggested a potential role for sB7H3 perhaps in conjunction with other factors, such as GM-CSF or SCF released by injured lung, in their generation from BM cells. The clinical significance of sB7H3 was suggested by lung scRNA-seq analysis, which revealed type I/II alveolar epithelial cells, macrophages, and fibroblasts/myofibroblasts as the potential sources for sB7H3, with the latter as the predominant source. This possibility was supported by the identification of lung myofibroblast-derived sB7H3 as the key MDSC chemoattractant. Moreover, sB7H3 could expand/recruit the TGFβ-expressing MDSCs and in turn activate them to induce myofibroblast differentiation in a feedforward loop. The findings further supported the role of B7H3 in the recruitment of MDSCs, as well as enhancing the lung inflammation after injury in mice and the exacerbation of IPF in humans (8, 10). This expansion of MDSCs and accompanying fibrosis appeared to be dependent on TERT as shown by its abrogation in myeloid cell-specific (LysM expressing cells) TERT-deficient mice.
It is conceivable that a ‘two-signal’ model consisting of two processes might account for the expansion of MDSCs followed by their activation (42). The first process of MDSC expansion is induced by various cytokines produced by injured lung tissue, tumors, or bone marrow stroma in response to chronic stimulation, such as GM-CSF, M-CSF, G-CSF, IL-6, and VEGF. Our findings suggested that lack of TERT in myeloid cells diminished MDSC recruitment in response to BLM-induced lung insult. Given that TERT is implicated in cell proliferation and expansion of progenitor cells (28, 38, 52, 53), the evidence in the current study suggested that TERT may govern the origination or expansion of BM-derived MDSC during the first process of the ‘two-signal’ model. The capacity of TERT/telomerase to inhibit cell differentiation (54, 55) is in line with the observation that the signaling in the first process prevents differentiation of MDSC while promoting the proliferation of immature myeloid cells (11, 42). However, MDSCs may require a second signal to become activated, which manifests in the upregulation of immunosuppressive cytokine production. This stimulus for this activation can be provided by pro-inflammatory molecules such as IFNγ, IL-1β, IL-13, and TLR ligands (42, 56). The GM-CSF and sB7H3 combination served this dual purpose in our study with the secondary signal inducing TGFβ, which may in turn cause the myofibroblast differentiation.
In conclusion, CD84+ suppressive cell-enriched MDSCs are significantly elevated in peripheral blood of patients with IPF, which showed some correlation with lung function decline and evidence of T-cell suppression. These results suggested that MDSCs facilitate an immunosuppressive cell network in IPF. Moreover, the present study, for the first time, suggested that myeloid-derived TERT and sB7H3 might be important factors in the expansion of the circulating MDSC population, and its activation played a paracrine role by activating resident lung myofibroblast differentiation via the production of TGFβ, thus promoting lung fibrosis.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
This study was reviewed and approved by the Institutional Review Board at the University of Michigan. Informed consent was obtained from each patient or normal volunteer. All animal studies were reviewed and approved by the Institutional Animal Care and Use Committee at the University of Michigan.
Author contributions
SP and TL conceived the project. KF recruited the human subjects and provided patient demographics plus clinical advice. SP and TL designed the experiments. TL, FG, AR, and CF performed the experiments. SP and TL analyzed data and wrote the manuscript. All authors contributed to the article and approved the submitted version.
Funding
This study is supported by NIH grants HL112880, HL138417, and HL143339.
Acknowledgments
We thank Candace Flaherty and Christi Getty for their excellent assistance in the clinical blood specimen collection and thank Lisa R Riggs for excellent technical assistance in the tissue section preparation and the H&E and Masson’s trichrome staining.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2022.901349/full#supplementary-material
References
- 1. Meltzer EB, Noble PW. Idiopathic pulmonary fibrosis. Orphanet J Rare Dis (2008) 3:8. doi: 10.1186/1750-1172-3-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Hinz B, Phan SH, Thannickal VJ, Prunotto M, Desmouliere A, Varga J, et al. Recent developments in myofibroblast biology: Paradigms for connective tissue remodeling. Am J Pathol (2012) 180(4):1340–55. doi: 10.1016/j.ajpath.2012.02.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Phan SH. Genesis of the myofibroblast in lung injury and fibrosis. Proc Am Thorac Soc (2012) 9(3):148–52. doi: 10.1513/pats.201201-011AW [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Hashimoto N, Jin H, Liu T, Chensue SW, Phan SH. Bone marrow-derived progenitor cells in pulmonary fibrosis. J Clin Invest (2004) 113(2):243–52. doi: 10.1172/JCI200418847 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Ding L, Dolgachev V, Wu Z, Liu T, Nakashima T, Wu Z, et al. Essential role of stem cell factor-c-Kit signalling pathway in bleomycin-induced pulmonary fibrosis. J Pathol (2013) 230(2):205–14. doi: 10.1002/path.4177 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Ding L, Liu T, Wu Z, Hu B, Nakashima T, Ullenbruch M, et al. Bone marrow CD11c+ cell-derived amphiregulin promotes pulmonary fibrosis. J Immunol (2016) 197(1):303–12. doi: 10.4049/jimmunol.1502479 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Nakashima T, Liu T, Yu H, Ding L, Ullenbruch M, Hu B, et al. Lung bone marrow-derived hematopoietic progenitor cells enhance pulmonary fibrosis. Am J Respir Crit Care Med (2013) 188(8):976–84. doi: 10.1164/rccm.201303-0479OC [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Nakashima T, Liu T, Hu B, Wu Z, Ullenbruch M, Omori K, et al. Role of B7H3/IL-33 signaling in pulmonary fibrosis-induced profibrogenic alterations in bone marrow. Am J Respir Crit Care Med (2019) 200(8):1032–44. doi: 10.1164/rccm.201808-1560OC [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Zhou J, Nefedova Y, Lei A, Gabrilovich D. Neutrophils and PMN-MDSC: Their biological role and interaction with stromal cells. Semin Immunol (2018) 35:19–28. doi: 10.1016/j.smim.2017.12.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Fang C, Rinke AE, Wang J, Flaherty KR, Phan SH, Liu T. B7H3 expression and significance in idiopathic pulmonary fibrosis. J Pathol (2021) 256:310–320. doi: 10.1002/path.5838 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Veglia F, Perego M, Gabrilovich D. Myeloid-derived suppressor cells coming of age. Nat Immunol (2018) 19(2):108–19. doi: 10.1038/s41590-017-0022-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Ostrand-Rosenberg S, Sinha P, Beury DW, Clements VK. Cross-talk between myeloid-derived suppressor cells (MDSC), macrophages, and dendritic cells enhances tumor-induced immune suppression. Semin Cancer Biol (2012) 22(4):275–81. doi: 10.1016/j.semcancer.2012.01.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Bronte V, Brandau S, Chen SH, Colombo MP, Frey AB, Greten TF, et al. Recommendations for myeloid-derived suppressor cell nomenclature and characterization standards. Nat Commun (2016) 7:12150. doi: 10.1038/ncomms12150 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Gabrilovich DI. Myeloid-derived suppressor cells. Cancer Immunol Res (2017) 5(1):3–8. doi: 10.1158/2326-6066.CIR-16-0297 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Gabrilovich DI, Nagaraj S. Myeloid-derived suppressor cells as regulators of the immune system. Nat Rev Immunol (2009) 9(3):162–74. doi: 10.1038/nri2506 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Vetsika EK, Koukos A, Kotsakis A. Myeloid-derived suppressor cells: Major figures that shape the immunosuppressive and angiogenic network in cancer. Cells (2019) 8(12):1647–1662. doi: 10.3390/cells8121647 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Damuzzo V, Pinton L, Desantis G, Solito S, Marigo I, Bronte V, et al. Complexity and challenges in defining myeloid-derived suppressor cells. Cytometry B Clin Cytom (2015) 88(2):77–91. doi: 10.1002/cytob.21206 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Groth C, Hu X, Weber R, Fleming V, Altevogt P, Utikal J, et al. Immunosuppression mediated by myeloid-derived suppressor cells (MDSCs) during tumour progression. Br J Cancer (2019) 120(1):16–25. doi: 10.1038/s41416-018-0333-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Motallebnezhad M, Jadidi-Niaragh F, Qamsari ES, Bagheri S, Gharibi T, Yousefi M. The immunobiology of myeloid-derived suppressor cells in cancer. Tumour Biol (2016) 37(2):1387–406. doi: 10.1007/s13277-015-4477-9 [DOI] [PubMed] [Google Scholar]
- 20. Cassetta L, Baekkevold ES, Brandau S, Bujko A, Cassatella MA, Dorhoi A, et al. Deciphering myeloid-derived suppressor cells: isolation and markers in humans, mice and non-human primates. Cancer Immunol Immunother (2019) 68(4):687–97. doi: 10.1007/s00262-019-02302-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Gonda K, Shibata M, Ohtake T, Matsumoto Y, Tachibana K, Abe N, et al. Myeloid-derived suppressor cells are increased and correlated with type 2 immune responses, malnutrition, inflammation, and poor prognosis in patients with breast cancer. Oncol Lett (2017) 14(2):1766–74. doi: 10.3892/ol.2017.6305 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Alkhateeb T, Kumbhare A, Bah I, Youssef D, Yao ZQ, McCall CE, et al. S100A9 maintains myeloid-derived suppressor cells in chronic sepsis by inducing miR-21 and miR-181b. Mol Immunol (2019) 112:72–81. doi: 10.1016/j.molimm.2019.04.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Bunt SK, Clements VK, Hanson EM, Sinha P, Ostrand-Rosenberg S. Inflammation enhances myeloid-derived suppressor cell cross-talk by signaling through toll-like receptor 4. J Leukoc Biol (2009) 85(6):996–1004. doi: 10.1189/jlb.0708446 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Bryant AJ, Shenoy V, Fu C, Marek G, Lorentsen KJ, Herzog EL, et al. Myeloid-derived suppressor cells are necessary for development of pulmonary hypertension. Am J Respir Cell Mol Biol (2018) 58(2):170–80. doi: 10.1165/rcmb.2017-0214OC [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Fernandez IE, Greiffo FR, Frankenberger M, Bandres J, Heinzelmann K, Neurohr C, et al. Peripheral blood myeloid-derived suppressor cells reflect disease status in idiopathic pulmonary fibrosis. Eur Respir J (2016) 48(4):1171–83. doi: 10.1183/13993003.01826-2015 [DOI] [PubMed] [Google Scholar]
- 26. American Thoracic Society . Idiopathic pulmonary fibrosis: diagnosis and treatment. international consensus statement. American thoracic society (ATS), and the European respiratory society (ERS). Am J Respir Crit Care Med (2000) 161(2 Pt 1):646–64. doi: 10.1164/ajrccm.161.2.ats3-00 [DOI] [PubMed] [Google Scholar]
- 27. Liu T, Yu H, Ding L, Wu Z, Gonzalez De Los Santos F, Liu J, et al. Conditional knockout of telomerase reverse transcriptase in mesenchymal cells impairs mouse pulmonary fibrosis. PloS One (2015) 10(11):e0142547. doi: 10.1371/journal.pone.0142547 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Liu T, Gonzalez De Los Santos F, Zhao Y, Wu Z, Rinke AE, Kim KK, et al. Telomerase reverse transcriptase ameliorates lung fibrosis by protecting alveolar epithelial cells against senescence. J Biol Chem (2019) 294(22):8861–71. doi: 10.1074/jbc.RA118.006615 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Huaux F, Liu T, McGarry B, Ullenbruch M, Phan SH. Dual roles of IL-4 in lung injury and fibrosis. J Immunol (2003) 170(4):2083–92. doi: 10.4049/jimmunol.170.4.2083 [DOI] [PubMed] [Google Scholar]
- 30. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-delta delta C(T)) method. Methods (2001) 25(4):402–8. doi: 10.1006/meth.2001.1262 [DOI] [PubMed] [Google Scholar]
- 31. Edwards CA, O'Brien WD, Jr. Modified assay for determination of hydroxyproline in a tissue hydrolyzate. Clin Chim Acta (1980) 104(2):161–7. doi: 10.1016/0009-8981(80)90192-8 [DOI] [PubMed] [Google Scholar]
- 32. Liu T, Baek HA, Yu H, Lee HJ, Park BH, Ullenbruch M, et al. FIZZ2/RELM-beta induction and role in pulmonary fibrosis. J Immunol (2011) 187(1):450–61. doi: 10.4049/jimmunol.1000964 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Alshetaiwi H, Pervolarakis N, McIntyre LL, Ma D, Nguyen Q, Rath JA, et al. Defining Emergence Myeloid-Derived suppressor Cells Breast Cancer using single-cell transcriptomics. Sci Immunol (2020) 5(44):eaay6017–6044. doi: 10.1126/sciimmunol.aay6017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Zhang G, Hou J, Shi J, Yu G, Lu B, Zhang X. Soluble CD276 (B7-H3) is released from monocytes, dendritic cells and activated T cells and is detectable in normal human serum. Immunology (2008) 123(4):538–46. doi: 10.1111/j.1365-2567.2007.02723.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Morse C, Tabib T, Sembrat J, Buschur KL, Bittar HT, Valenzi E, et al. Proliferating SPP1/MERTK-expressing macrophages in idiopathic pulmonary fibrosis. eur respir. J (2019) 54(2):1802441–1802465. doi: 10.1183/13993003.02441-2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Adams TS, Schupp JC, Poli S, Ayaub EA, Neumark N, Ahangari F, et al. Single-cell RNA-seq reveals ectopic and aberrant lung-resident cell populations in idiopathic pulmonary fibrosis. Sci Adv (2020) 6(28):eaba1983. doi: 10.1126/sciadv.aba1983 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Buechler MB, Pradhan RN, Krishnamurty AT, Cox C, Calviello AK, Wang AW, et al. Cross-tissue organization of the fibroblast lineage. Nature (2021) 593(7860):575–9. doi: 10.1038/s41586-021-03549-5 [DOI] [PubMed] [Google Scholar]
- 38. Sarin KY, Cheung P, Gilison D, Lee E, Tennen RI, Wang E, et al. Conditional telomerase induction causes proliferation of hair follicle stem cells. Nature (2005) 436(7053):1048–52. doi: 10.1038/nature03836 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Sekulovic S, Gylfadottir V, Vulto I, Gasparetto M, Even Y, Brookes C, et al. Prolonged self-renewal activity unmasks telomerase control of telomere homeostasis and function of mouse hematopoietic stem cells. Blood (2011) 118(7):1766–73. doi: 10.1182/blood-2010-11-319632 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Gizard F, Heywood EB, Findeisen HM, Zhao Y, Jones KL, Cudejko C, et al. Telomerase activation in atherosclerosis and induction of telomerase reverse transcriptase expression by inflammatory stimuli in macrophages. Arterioscler Thromb Vasc Biol (2011) 31(2):245–52. doi: 10.1161/ATVBAHA.110.219808 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Zhou Z, French DL, Ma G, Eisenstein S, Chen Y, Divino CM, et al. Development and function of myeloid-derived suppressor cells generated from mouse embryonic and hematopoietic stem cells. Stem Cells (2010) 28(3):620–32. doi: 10.1002/stem.301 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Condamine T, Gabrilovich DI. Molecular mechanisms regulating myeloid-derived suppressor cell differentiation and function. Trends Immunol (2011) 32(1):19–25. doi: 10.1016/j.it.2010.10.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Rangarajan S, Locy ML, Luckhardt TR, Thannickal VJ. Targeted therapy for idiopathic pulmonary fibrosis: Where to now? Drugs (2016) 76(3):291–300. doi: 10.1007/s40265-015-0523-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Kreuter M, Lee JS, Tzouvelekis A, Oldham JM, Molyneaux PL, Weycker D, et al. Monocyte count as a prognostic biomarker in patients with idiopathic pulmonary fibrosis. Am J Respir Crit Care Med (2021) 204(1):74–81. doi: 10.1164/ajrccm-conference.2020.201.1_MeetingAbstracts.A6207 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Kurko J, Vida A, Glant TT, Scanzello CR, Katz RS, Nair A, et al. Identification of myeloid-derived suppressor cells in the synovial fluid of patients with rheumatoid arthritis: a pilot study. BMC Musculoskelet Disord (2014) 15:281–287. doi: 10.1186/1471-2474-15-281 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Movahedi K, Guilliams M, Van den Bossche J, Van den Bergh R, Gysemans C, Beschin A, et al. Identification of discrete tumor-induced myeloid-derived suppressor cell subpopulations with distinct T cell-suppressive activity. Blood (2008) 111(8):4233–44. doi: 10.1182/blood-2007-07-099226 [DOI] [PubMed] [Google Scholar]
- 47. Dolcetti L, Peranzoni E, Ugel S, Marigo I, Fernandez Gomez A, Mesa C, et al. Hierarchy of immunosuppressive strength among myeloid-derived suppressor cell subsets is determined by GM-CSF. Eur J Immunol (2010) 40(1):22–35. doi: 10.1002/eji.200939903 [DOI] [PubMed] [Google Scholar]
- 48. Wang C, Li Y, Jia L, Kim JK, Li J, Deng P, et al. CD276 expression enables squamous cell carcinoma stem cells to evade immune surveillance. Cell Stem Cell (2021) 28(9):1597–613 e7. doi: 10.1016/j.stem.2021.04.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Du R, Lu KV, Petritsch C, Liu P, Ganss R, Passegue E, et al. HIF1alpha induces the recruitment of bone marrow-derived vascular modulatory cells to regulate tumor angiogenesis and invasion. Cancer Cell (2008) 13(3):206–20. doi: 10.1016/j.ccr.2008.01.034 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Markowitz J, Wesolowski R, Papenfuss T, Brooks TR, Carson WE, 3rd. Myeloid-derived suppressor cells in breast cancer. Breast Cancer Res Treat (2013) 140(1):13–21. doi: 10.1007/s10549-013-2618-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Cai W, Qin A, Guo P, Yan D, Hu F, Yang Q, et al. Clinical significance and functional studies of myeloid-derived suppressor cells in chronic hepatitis c patients. J Clin Immunol (2013) 33(4):798–808. doi: 10.1007/s10875-012-9861-2 [DOI] [PubMed] [Google Scholar]
- 52. Choi J, Southworth LK, Sarin KY, Venteicher AS, Ma W, Chang W, et al. TERT promotes epithelial proliferation through transcriptional control of a myc- and wnt-related developmental program. PloS Genet (2008) 4(1):e10. doi: 10.1371/journal.pgen.0040010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Ujike-Asai A, Okada A, Du Y, Maruyama M, Yuan X, Ishikawa F, et al. Large Defects of type I allergic response in telomerase reverse transcriptase knockout mice. J Leukoc Biol (2007) 82(2):429–35. doi: 10.1189/jlb.1006638 [DOI] [PubMed] [Google Scholar]
- 54. Liu T, Nozaki Y, Phan SH. Regulation of telomerase activity in rat lung fibroblasts. Am J Respir Cell Mol Biol (2002) 26(5):534–40. doi: 10.1165/ajrcmb.26.5.4668 [DOI] [PubMed] [Google Scholar]
- 55. Savoysky E, Yoshida K, Ohtomo T, Yamaguchi Y, Akamatsu K, Yamazaki T, et al. Down-regulation of telomerase activity is an early event in the differentiation of HL60 cells. Biochem Biophys Res Commun (1996) 226(2):329–34. doi: 10.1006/bbrc.1996.1356 [DOI] [PubMed] [Google Scholar]
- 56. Ribechini E, Hutchinson JA, Hergovits S, Heuer M, Lucas J, Schleicher U, et al. Novel GM-CSF signals via IFN-gammaR/IRF-1 and AKT/mTOR license monocytes for suppressor function. Blood Adv (2017) 1(14):947–60. doi: 10.1182/bloodadvances.2017006858 [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.
Supplementary Materials
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.