Skip to main content

ORIGINAL RESEARCH article

Front. Immunol., 26 April 2019
Sec. Alloimmunity and Transplantation
This article is part of the Research Topic Myeloid Derived Suppressor Cells as Disease Modulators View all 14 articles

Myeloid-Derived Suppressor Cells in Lung Transplantation

\r\nTobias Heigl&#x;Tobias Heigl1Anurag Singh*&#x;Anurag Singh2*Berta Saez-GimenezBerta Saez-Gimenez1Janne KaesJanne Kaes1Anke Van HerckAnke Van Herck1Annelore SacreasAnnelore Sacreas1Hanne BeeckmansHanne Beeckmans1Arno VanstapelArno Vanstapel1Stijn E. VerledenStijn E. Verleden1Dirk E. Van RaemdonckDirk E. Van Raemdonck1Geert VerledenGeert Verleden1Bart M. VanaudenaerdeBart M. Vanaudenaerde1Dominik HartlDominik Hartl2Robin Vos*Robin Vos1*
  • 1Lung Transplant Unit, Lab of Respiratory Diseases, Department of Chronic Diseases, Metabolism and Ageing (CHROMETA), KU Leuven, Leuven, Belgium
  • 2Universitätsklinik für Kinder-und Jugendmedizin, Tübingen, Germany

Myeloid-derived suppressor cells (MDSC) are a heterogeneous group of immune cells from the myeloid lineage. MDSCs expand in pathological situations, such as chronic infection, cancer, autoimmunity, and allograft rejection. As chronic lung allograft dysfunction (CLAD) limits long-term survival after lung transplantation (LTx), MDSCs may play a role in its pathophysiology. We assessed phenotype and frequency of MDSCs in peripheral blood from lung transplant recipients and its relationship to post-transplant complications and immunosuppression. Granulocytic (G)-MDSC were identified and quantified by flow cytometry of blood from 4 control subjects and 20 lung transplant patients (stable n = 6, infection n = 5; CLAD n = 9). G-MDSC functionality was assessed in vitro by their capability to block CD4 and CD8 T cell proliferation. More G-MDSC could be assessed using EDTA tubes compared to heparin tubes (p = 0.004). G-MDSC were increased in stable lung transplant recipients vs. non-transplant controls (52.1% vs. 9.4%; p = 0.0095). The infection or CLAD groups had lower G-MDSCs vs. stable recipients (28.2%p = 0.041 and 33.0%; p = 0.088, respectively), but were not different among CLAD phenotypes. G-MDSC tended to correlate with cyclosporine A and tacrolimus levels (r2 = 0.18; r2 = 0.17). CD4 and CD8 cells proliferation decreased by 50 and 80% if co-cultured with MDSCs (1:6 and 1:2 MDSC:T-cell ratio, respectively). In conclusion, circulating MDSCs are measurable, functional and have a G-MDSC phenotype in lung transplant patients. Their frequency is increased in stable patients, decreased during post-transplant complications, and related to level of immunosuppression. This study may pave the way for further investigations of MDSC in the context of lung transplantation.

Introduction

From a transplant immunological point of view, graft acceptance is the fundamental element in allograft survival. Graft acceptance is realized by blocking the immune system with immunosuppression preventing host immune cells to recognized and attack the “non-self” donor (lung) tissue. Immune regulatory cells are thought to play a major role in the balance between graft acceptance and chronic rejection. Most attention has gone to natural and inducible FoxP3 positive regulatory T cells (Treg) (1). Immune regulation and graft acceptance, however, encompasses many more cells including regulatory B cells, regulatory dendritic cells and innate regulatory cells like the myeloid-derived suppressor cells (MDSCs), which were introduced 10 years ago by Gabrilovich et al., MDSCs were initially described as a heterogeneous group of immune cells from the myeloid lineage with a potent immune-regulatory activity (2). In the last few years, more insights into the nature and biological role of MDSCs have been reported and consequently MDSCs have emerged as a universal regulator of immune function in many pathologic conditions. MDSCs are known to expand in pathological situations such as chronic infection, cancer, transplant rejection and autoimmunity (35). Within the MDSC population, two main subgroups of cells were identified: granulocytic MDSCs (G-MDSCs) also nominated as polymorphomononuclear (PMN-MDSCs) and monocytic (M)-MDSCs. G-MDSCs are phenotypically and morphologically similar to neutrophils, whereas M-MDSCs resemble monocytes (6). Looking at the functionality of both M- and G-MDCS, the suppressive activity has been mainly attributed to arginine 1 (ARG1) and nitric oxide (NO) for M-MDSC and upregulation of reactive oxygen species (ROS) for G-MDSC (7, 8). Upregulation of ARG1, NO, and ROS are key mechanism to suppress T cell proliferation (9) and the production of IFNγ (10). Another hallmark is the upregulation of the transcription factor signal transducer and activator of transcription 3 (STAT3). STAT3, which functions as a signaling hub, integrating the different cues of the immunologic micro-environment (11, 12) regulates the expansion of MDSCs by stimulating myelopoiesis and inhibiting myeloid-cell differentiation. Further, it promotes MDSC survival by inducing the expression of cyclin D1, B-cell lymphoma XL (BCL-XL) and MYC (4). Within transplantation, MDSCs are involved in maintaining allogeneic acceptance in bone marrow, kidney and liver transplantation (1316). Moreover, it has also been shown that commonly used immunosuppressive drugs can affect MDSC differentiation and functionality (17, 18). Our goal was to characterize phenotype (M-MDSC or G-MDSC) and frequency of MDSCs in lung transplant recipients. And consequently, to assess if MDSCs can serve as a potential new research target in the field of lung transplantation since chronic lung allograft dysfunction (CLAD), considered to be driven by an overactive T cell response, remains the most important factor limiting long-term survival after transplantation.

Methods

Patient Characteristics

This study included 20 lung transplant recipients and 4 healthy controls recruited at the University Hospitals Leuven (Belgium). All lung transplant recipients gave informed consent at time of listing for transplantation and routine blood sampling was approved by the University hospital (S51577). Relevant patient information retrieved from the clinical database included age, gender, type of transplantation, underlying disease, allograft ischemic time during transplantation, immunosuppressive dose, and trough levels, time post-transplant of blood sampling, time of death, infection information, and diagnostic criteria for CLAD and its phenotypes. Lung transplant recipients were selected according to their clinical status upon recruitment: 6 were considered stable, 5 recipients had an acute infection (2 CMV; 1 Pseudomonas aeruginosa; 1 Influenza + E. coli; 1 Influenza + Aspergillus fumigatus) and 9 were affected by different phenotypes of CLAD (5 BOS and 4 RAS cases). Blood of 15 individuals was used to compare Heparin vs. EDTA coated blood tubes (2 control, 3 Infection, 5 Stable, and 5 CLAD). The clinical status was assessed by an expert clinician (RV) according to current guidelines (19, 20).

MDSC Characterization

Peripheral blood was collected using EDTA and Heparin-coated tubes and samples were shipped to the Universitätsklinik für Kinder-und Jugendmedizin, Tübingen (Germany) at room temperature and analyzed within 24 h. MDSCs were characterized as previously described (21, 22). In brief, peripheral blood mononuclear cells (PBMCs) were isolated from whole blood by Ficoll density gradient centrifugation (Lymphocyte Separation Medium; Biochrom), washed with RPMI-1640 and cell viability was confirmed by trypan blue staining. The isolated PBMC, containing only low density granulocytes, were stained with specific antibodies for G-MDSC (CD66b-FITC, CD33-PE) and M-MDSC (CD14-FITC and HLADR-PerCP) (Miltenyi Biotec) and quantified by flow cytometry using a FACSCalibur (BD). G-MDSCs were phenotypically characterized as low-density fraction granulocytes CD33+CD66b+ cells (Figure 1). The percentage of G-MDSC was determined as ratio of CD33+CD66b+ cells (P2 in Figure 1) over total PBMCs containing the low density granulocyte fraction (P1 in Figure 1). Calculations were performed with BD CellQuest Pro analysis software and FlowJo V7.

FIGURE 1
www.frontiersin.org

Figure 1. Gating Strategy to determine MDSC phenotype. (A) The low-density fraction of PBMC was stained with specific markers to differentiate between G-MDSCs (CD66b/CD33) and M-MDSCs (HLA-DR/CD14). (B) Different coatings of blood tubes (EDTA vs. Heparin) affect the MDSC cell numbers. (C) Exemplary FACS plots of the healthy controls and different LTx patient groups.

T-Cell Suppression Assays

The MDSC functional assay assessed T-cell suppression (both CD4 and CD8) by isolated MDSC (Figure 2) (23). MDSCs were isolated from blood of 2 lung transplant recipients, 1 stable and 1 with CLAD (BOS), using anti-CD66b and anti-FITC magnetic microbeads with the autoMACS®Pro Separator (Miltenyi Biotec) according to manufacturer's instructions. CD4+ and CD8+ T cells were isolated using CD4 and CD8 antibody (BD Pharmingen) combined with anti-FITC magnetic microbeads and autoMACS®Pro Separator (Miltenyi Biotec). Isolated CD4 or CD8 cells were labeled with CFSE dissolved in RPMI-1640, supplemented with 10% heat-inactivated human serum, 2 mM glutamine, 100 IU/ml penicillin, and 100 mg/ml streptomycin and 60,000 cells were plated per well in a 96-well microtiter plate. Cells were further stimulated with 100 U/ml IL-2 (R&D Systems) and 1 μg/ml OKT3 (Janssen Cilag). Different numbers of G-MDSCs were added to obtain an MDSC:T-cell ratio 1:6 and 1:2 and incubated for 3 days in a humidified chamber at 37°C and 5% CO2. After incubation, cells were harvested and CFSE-fluorescence intensity analyzed by flow cytometry to determine T-cell proliferation. Proliferation was calculated as the ratio of the divided cells (P1 to P5) over all cells (P0 to P5) with control T cells as reference value.

FIGURE 2
www.frontiersin.org

Figure 2. G-MDSC percentages measured in blood of lung transplant recipients and healthy controls. (A) the effect of LiHe vs. EDTA tubes on G-MDSC percentages; (B) G-MDSC in healthy controls and lung transplant recipients who were stable, had an infection or were diagnosed with CLAD; (C) CLAD sub-phenotypes in BOS and RAS. (D,E) G-MDSC correlated with CNI level of the patients.

Statistical Analysis

Qualitative variables are expressed as absolute numbers and percentages. Normally distributed quantitative variables are expressed as mean and standard deviation; non-normally distributed variables are expressed as median and interquartile range (25–75 percentile). Demographic and clinical variables of patients were compared using the chi-square test for qualitative variables or Fisher's exact test when one of the expected effects was <5. Normally distributed quantitative variables were compared using one-way ANOVA test; non-normally distributed quantitative variables were compared using the Kruskal-Wallis test. One-way ANOVA Test was used to compare MDSCs counts between groups. Linear regression was used for investigating the interaction of MDSC% and immunosuppressive trough levels. Data were analyzed using Graph Pad prism 7.0 software (San Diego, CA, USA).

Results

Clinical characteristics of study participants are included in Table 1.

TABLE 1
www.frontiersin.org

Table 1. Characteristics of lung transplant patients.

G-MDSC were present in the low-density fraction of PBMCs, based on physical (FSC/SSC) and flow cytometric characteristics (CD33+CD66b+ cells) (Figure 1A). M-MDSC, on the other hand, were not observed in the low-density fraction of PBMCs, based on physical (FSC/SSC) and cell surface marker characteristics (CD14HLA-DR) (Figure 1A).

Percentages of G-MDSC were increased when using EDTA tubes compared to using LiHe tubes (mean: 33.38% [range: 18.32–50.36] vs. 6.24% [4.02–20.53], p = 0.004) (Figures 1B, 2A). EDTA and LiHe tubes were equally (statistically not significantly different) distributed across the control and patient groups. G-MDSC were increased in stable lung transplant recipients vs. healthy control subjects (52.1% [33.3–61.9] vs. 9.4% [7.6–16.4], p = 0.0095) (Figures 1C, 2B). Lung transplant recipients with an infection or CLAD tended to have lower percentage of G-MDSC compared to stable recipients (28.2% [17.2–36.6], p = 0.041 and 33.0% [25.6-38.1], p = 0.088, respectively) (Figure 2B). Within CLAD patients, the proportion of G-MDSC were comparable in BOS (5 cases) and RAS (4 cases) (p = 0.99) (Figure 2C). G-MDSC percentages seemed to increase with increasing blood levels of the calcineurin inhibitors (Tacrolimus r2 = 0.17, p = 0.12; Cyclosporine r2 = 0.18, p = 0.39) used as immunosuppressive therapy, which however was not significant most probably due to the small sample size (Figures 2D,E).

G-MDSCs isolated from lung transplant patients effectively suppressed T-cell proliferation in a CFSE based polyclonal proliferation assay. The T-cell suppression assay was used as a proof-of-concept assay to demonstrate that G-MDSCs expanded in transplant recipient patients indeed represent a suppressive G-MDSC cell type and do not reflect myeloid cell populations with G-MDSC-like markers, but without T cell suppressive activities. Isolated patient G-MDSCs exhibited a strong suppressive function on T cell proliferation of about 50 and 80% with a 1:6 and 1:2 ratio of MDSC, vs. CD4+ or CD8+ T cells, respectively (Figure 3).

FIGURE 3
www.frontiersin.org

Figure 3. G-MDSCs isolated from lung transplant patients functionally supress T cell proliferation. The suppressive effect of CD66b+-MACS-isolated MDSCs (isolated from lung transplant recipients; 1 with CLAD and 1 stable) on CFSE labeled T cell CD4+ (green) and CD8+ (purple) proliferation. (A) Different ratios of MDSC vs. T cells (1:6 and 1:2) were assessed and compared with T cell proliferation without MDSCs. P0 represents undivided cells, P1 cells divided 1 time; P2 cells divided twice and so on. T cell proliferation ratio is portion of divided cells over all cells. The bar graphs represent the proliferation index compared to control conditions (n = 2).

Discussion

MDSCs were evaluated in lung transplant recipients and G-MDSC (CD33+/CD66b+) could be identified in the low-density fraction of PBMCs. G-MDSC (CD33+/CD66b+) cells also expressed CD11b, CXCR4 and HLA-DRlow. The absence of CD14 expression confirmed their G-MDSC phenotype (Figure S1).

MDSCs are known for their role in immune regulation and allograft acceptance, and are involved in delayed graft rejection (17, 24, 25). Our data showed an expansion of G-MDSCs (not M-MDSCs) in stable lung transplant recipients and a decrease of G-MDSCs in patients with CLAD. Lung transplant recipients suffering from an infection also demonstrated a reduction in G-MDSCs, pointing to the fact that infection interferes with immune regulation and allograft acceptance. For example, it has been shown in mice that CMV infection impairs MDSC differentiation (26). CMV is a clinically relevant post-transplant pathogen, which is considered as a risk factor for later development of CLAD (27) Also in our study population, we found that recipients with diagnosed CMV within the infection group showed a lower G-MDSC percentage compared to the other patient groups (data not shown).

Furthermore, we evaluated the effect of immunosuppression on G-MDSCs: G-MDSCs showed a modest correlation with increasing CNI trough levels, a previously reported phenomenon (17, 28). Calcineurin inhibitors are indispensable in lung transplantation as efficient immunosuppressive drugs to block the immune response toward the allograft; hence, induction of MDSCs and their immunosuppressive function might be a part of their mechanism of action. It has been shown in a mouse skin transplant model that mechanistically, CsA treatment enhances the expression of indoleamine 2,3-dioxygenase (IDO) and thereby induces the suppressive activities of MDSCs in allograft recipients (29). Since the myeloid compartment consists of many different cell types with often overlapping phenotypic markers, we wanted to assess if the G-MDSCs, isolated from our lung transplant population, demonstrated suppressive effector properties. We confirmed that G-MDSCs did exert CD4+ and CD8+ T cell suppression in two independent patient samples. Due to the low number of replications, we can only speculate that in the setting of transplant immunology, G-MDSCs would act upstream of T cells to induce a cascade of peripheral tolerance toward the graft tissue. Challenging from a technical standpoint was the difference observed between the Lithium-Heparin and EDTA coated blood-drawing tubes used for PBMC isolations and the resulting differences in G-MDSC. At this point, we speculate that EDTA, as an iron chelator, inhibits cell degranulation, and may be the reason why more G-MDSC can be measured when using EDTA coating compared to Lithium-Heparin, at least in our experimental settings. However, it is important to mention that in a study by Pallet et al., the opposite effect, increased G-MDSC counts in Heparin vs. EDTA tubes, has been observed (30), which thus needs further investigation.

There are several limitations to our study. As a pilot study, the number of studied patients is limited. Furthermore, there are several confounding factors such as the heterogeneity of patient characteristics, differences in immunosuppressive therapy, use of azithromycin, different blood sampling tubes and different timings of sampling after lung transplantation.

However, our findings remain interesting, and may warrant more in-depth research on the role of G-MDSCs in lung transplantation. In our opinion, elucidating the functional hierarchy of immune regulatory cells in the context of transplant tolerance/rejection is of importance to understand graft acceptance. We believe that the up-stream suppressive activity of G-MDSC may be an intriguing starting point to dissect this highly complex interconnected immune regulatory system consisting of Treg, Bregs, Mregs, and other cell types.

Ethics Statement

This study included 20 lung transplant recipients and 4 healthy controls recruited at the University Hospitals Leuven (Belgium). All lung transplant recipients gave informed consent at time of listing for transplantation and routine blood sampling was approved by the University hospital (S51577).

Author Contributions

TH and ASi performed this study from sampling, analyzing, writing, and submitting the paper. ASi performed the MDSC FACS analysis, the in vitro MDSC proliferation test and the writing of the paper. JK, ASa, and SV helped in organizing the sampling and writing of the paper. DH helped in writing of the paper. BS-G, HB, AV, and AVH helped by searching for the clinical patient information and helped preparing the data. DV was the surgeon performing the lung translations and critical evaluated the manuscript. GV and RV were the clinicians performing the daily care taking of the patients and critical evaluated the manuscript. BV and RV designed and funded the study.

Funding

BV and GV are supported by a research grant of KU Leuven, Belgium (C2/15/030) and by the Research Foundation Flanders (FWO) (G083818N); GV is supported by a research grant from the Broere Charitable Foundation; RV is supported by a research grant of UZ Leuven, Belgium (STG15/023); RV and SV are senior research fellows of the Research Foundation Flanders (FWO), Belgium.

Conflict of Interest Statement

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.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2019.00900/full#supplementary-material

Figure S1. Representative dot plots and histograms of surface marker profiling of G-MDSCs isolated from lung transplant patients. MDSCs were analyzed in peripheral blood mononuclear cells (PBMCs) isolated from low density fraction of whole blood after Ficoll density centrifugation. Lung transplant MDSCs exhibited characteristic G-MDSC phenotype of CD33b+CD14cells (left panel, also see Figure 1) and also expressed CXCR4 (right panel). Histograms show individual surface marker staining (red) in comparison to unstained control (black) for CXCR4.

References

1. Wood KJ, Bushell A, Hester J. Regulatory immune cells in transplantation. Nat Rev Immunol. (2012) 12:417–30. doi: 10.1038/nri3227

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Gabrilovich DI, Bronte V, Chen S-H, Colombo MP, Ochoa A, Ostrand-Rosenberg S, et al. The terminology issue for myeloid-derived suppressor cells. Cancer Res. (2007) 67:425. doi: 10.1158/0008-5472.CAN-06-3037

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Ostrand-Rosenberg S, Sinha P. Myeloid-derived suppressor cells: linking inflammation and cancer. J Immunol. (2009) 182:4499–506. doi: 10.4049/jimmunol.0802740

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Gabrilovich DI, Nagaraj S. Myeloid-derived suppressor cells as regulators of the immune system. Nat Rev Immunol. (2009) 9:162–74. doi: 10.1038/nri2506

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Bunt SK, Sinha P, Clements VK, Leips J, Ostrand-Rosenberg S. Inflammation induces myeloid-derived suppressor cells that facilitate tumor progression. J Immunol. (2006) 176:284–90. doi: 10.4049/jimmunol.176.1.284

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Gabrilovich DI, Ostrand-Rosenberg S, Bronte V. Coordinated regulation of myeloid cells by tumours. Nat Rev Immunol. (2012) 12:253–68. doi: 10.1038/nri3175

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Youn J-I, Collazo M, Shalova IN, Biswas SK, Gabrilovich DI. Characterization of the nature of granulocytic myeloid-derived suppressor cells in tumor-bearing mice. J Leukoc Biol. (2012) 91:167–81. doi: 10.1189/jlb.0311177

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Umansky V, Blattner C, Gebhardt C, Utikal J. The Role of Myeloid-Derived Suppressor Cells (MDSC) in cancer progression. Vaccines. (2016) 4:E36. doi: 10.3390/vaccines4040036

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Rodriguez PC, Hernandez CP, Quiceno D, Dubinett SM, Zabaleta J, Ochoa JB, et al. Arginase I in myeloid suppressor cells is induced by COX-2 in lung carcinoma. J Exp Med. (2005) 202:931–9. doi: 10.1084/jem.20050715

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Nathan C, Cunningham-Bussel A. Beyond oxidative stress: an immunologist's guide to reactive oxygen species. Nat Rev Immunol. (2013) 13:349–61. doi: 10.1038/nri3423

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Nefedova Y, Huang M, Kusmartsev S, Bhattacharya R, Cheng P, Salup R, et al. Hyperactivation of STAT3 is involved in abnormal differentiation of dendritic cells in cancer. J Immunol. (2004) 172:464–74. doi: 10.4049/jimmunol.172.1.464

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Rébé C, Végran F, Berger H, Ghiringhelli F. STAT3 activation: a key factor in tumor immunoescape. JAKSTAT. (2013) 2:e23010. doi: 10.4161/jkst.23010

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Highfill SL, Rodriguez PC, Zhou Q, Goetz CA, Koehn BH, Veenstra R, et al. Bone marrow myeloid-derived suppressor cells (MDSCs) inhibit graft-versus-host disease (GVHD) via an arginase-1-dependent mechanism that is up-regulated by interleukin-13. Blood. (2010) 116:5738–47. doi: 10.1182/blood-2010-06-287839

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Meng F, Chen S, Guo X, Chen Z, Huang X, Lai Y, et al. Clinical significance of myeloid-derived suppressor cells in human renal transplantation with acute T cell-mediated rejection. Inflammation. (2014) 37:1799–805. doi: 10.1007/s10753-014-9910-5

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Luan Y, Mosheir E, Menon MC, Wilson D, Woytovich C, Ochando J, et al. Monocytic myeloid-derived suppressor cells accumulate in renal transplant patients and mediate CD4(+) Foxp3(+) Treg expansion. Am J Transplant. (2013) 13:3123–31. doi: 10.1111/ajt.12461

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Natarajan S, Thomson AW. Tolerogenic dendritic cells and myeloid-derived suppressor cells: potential for regulation and therapy of liver auto- and alloimmunity. Immunobiology. (2010) 215:698–703. doi: 10.1016/j.imbio.2010.05.024

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Han C, Wu T, Na N, Zhao Y, Li W, Zhao Y. The effect of immunosuppressive drug cyclosporine A on myeloid-derived suppressor cells in transplanted mice. Inflamm Res. (2016) 65:679–88. doi: 10.1007/s00011-016-0949-7

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Okano S, Abu-Elmagd K, Kish DD, Keslar K, Baldwin WM, Fairchild RL, et al. Myeloid-derived suppressor cells increase and inhibit donor-reactive T cell responses to graft intestinal epithelium in intestinal transplant patients. Am J Transplant. (2018) 18:2544–58. doi: 10.1111/ajt.14718

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Meyer KC, Raghu G, Verleden GM, Corris PA, Aurora P, Wilson KC, et al. An international ISHLT/ATS/ERS clinical practice guideline: diagnosis and management of bronchiolitis obliterans syndrome. Eur Respir J. (2014) 44:1479–503. doi: 10.1183/09031936.00107514

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Verleden GM, Raghu G, Meyer KC, Glanville AR, Corris P. A new classification system for chronic lung allograft dysfunction. J Heart Lung Transplant. (2014) 33:127–33. doi: 10.1016/j.healun.2013.10.022

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Brandau S, Trellakis S, Bruderek K, Schmaltz D, Steller G, Elian M, et al. Myeloid-derived suppressor cells in the peripheral blood of cancer patients contain a subset of immature neutrophils with impaired migratory properties. J Leukoc Biol. (2011) 89:311–7. doi: 10.1189/jlb.0310162

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Rieber N, Brand A, Hector A, Graepler-Mainka U, Ost M, Schäfer I, et al. Flagellin induces myeloid-derived suppressor cells: implications for pseudomonas aeruginosa infection in cystic fibrosis lung disease. J Immunol. (2013) 190:1276–84. doi: 10.4049/jimmunol.1202144

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Singh A, Lelis F, Braig S, Schäfer I, Hartl D, Rieber N. Differential regulation of myeloid-derived suppressor cells by Candida species. Front Microbiol. (2016) 7:1624. doi: 10.3389/fmicb.2016.01624

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Wu T, Zhao Y, Zhao Y. The roles of myeloid-derived suppressor cells in transplantation. Expert Rev Clin Immunol. (2014) 10:1385–94. doi: 10.1586/1744666X.2014.948424

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Escors D, Liechtenstein T, Perez-Janices N, Schwarze J, Dufait I, Goyvaerts C, et al. Assessing T-cell responses in anticancer immunotherapy: dendritic cells or myeloid-derived suppressor cells? Oncoimmunology. (2013) 2:e26148. doi: 10.4161/onci.26148

CrossRef Full Text | Google Scholar

26. Dangi A, Zhang L, Zhang X, Luo X. Murine CMV induces type 1 IFN that impairs differentiation of MDSCs critical for transplantation tolerance. Blood Adv. (2018) 2:669–80. doi: 10.1182/bloodadvances.2017012187

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Paraskeva M, Bailey M, Levvey BJ, Griffiths AP, Kotsimbos TC, Williams TP, et al. Cytomegalovirus replication within the lung allograft is associated with bronchiolitis obliterans syndrome. Am J Transplant. (2011) 11:2190–6. doi: 10.1111/j.1600-6143.2011.03663.x

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Yang F, Li Y, Zhang Q, Tan L, Peng L, Zhao Y. The effect of immunosuppressive drugs on MDSCs in transplantation. J Immunol Res. (2018) 2018:5414808. doi: 10.1155/2018/5414808

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Wang X, Bi Y, Xue L, Liao J, Chen X, Lu Y, et al. The calcineurin-NFAT axis controls allograft immunity in myeloid-derived suppressor cells through reprogramming T cell differentiation. Mol Cell Biol. (2015) 35:598–609. doi: 10.1128/MCB.01251-14

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Pallett LJ, Gill US, Quaglia A, Sinclair LV, Jover-Cobos M, Schurich A, et al. Metabolic regulation of hepatitis B immunopathology by myeloid-derived suppressor cells. Nat Med. (2015) 21:591–600. doi: 10.1038/nm.3856

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: myeloid-derived suppressor cells, blood, lung transplantation, allograft, chronic rejection, immunosuppression, infection, phenotypes

Citation: Heigl T, Singh A, Saez-Gimenez B, Kaes J, Van Herck A, Sacreas A, Beeckmans H, Vanstapel A, Verleden SE, Van Raemdonck DE, Verleden G, Vanaudenaerde BM, Hartl D and Vos R (2019) Myeloid-Derived Suppressor Cells in Lung Transplantation. Front. Immunol. 10:900. doi: 10.3389/fimmu.2019.00900

Received: 21 December 2018; Accepted: 08 April 2019;
Published: 26 April 2019.

Edited by:

Olivera J. Finn, University of Pittsburgh, United States

Reviewed by:

Régis Josien, University of Nantes, France
Stanislaw Stepkowski, University of Toledo, United States

Copyright © 2019 Heigl, Singh, Saez-Gimenez, Kaes, Van Herck, Sacreas, Beeckmans, Vanstapel, Verleden, Van Raemdonck, Verleden, Vanaudenaerde, Hartl and Vos. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Robin Vos, robin.vos@uzleuven.be
Anurag Singh, anurag.singh@med.uni-tuebingen.de

These authors have contributed equally to this work

Disclaimer: 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.