Ahmad Shaikh1,2,3†
Arunakumar Gangaplara1,4†
Abdoul Kone1Katherine Almengo1Mariama D. Kabore1
Mohamed A.E. Ali1Xin Xu1Ankit Saxena5
Maria Lopez-Ocasio5J. Philip McCoy5
Courtney D. Fitzhugh1*- 1Cellular and Molecular Therapeutics Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
- 2Department of Biology, The Catholic University of America, Washington, DC, United States
- 3Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia
- 4Miltenyi Biotec, Research and Development, Gaithersburg, MD, United States
- 5Flow Cytometry Core, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
Haploidentical hematopoietic cell transplantation (haplo-HCT) is associated with an increased risk of allograft rejection. Here, we employed a major histocompatibility complex (MHC)-mismatched allogeneic HCT (allo-HCT) murine model to better understand the role of Gal-1 in immune tolerance. Transplanted mice were classified into either rejected or engrafted based on donor chimerism levels. We noted significantly higher frequencies of CD4+ T cells, CD8+ T cells, natural killer cells, IFN-γ and TNF-α producing CD4+ T cells, and IFN-γ producing dendritic cells and macrophages in rejected mice. Conversely, we found significantly increased frequencies of regulatory T cells (Tregs), predominantly Helios+, IL-10-producing CD4+ T cells, type 1 regulatory (Tr1) cells, and the proportion of Tr1+Gal-1+ cells in engrafted mice. Further, Gal-1 specific blockade in Tregs reduced suppression of effector T cells in engrafted mice. Lastly, effector T cells from engrafted mice were more prone to undergo apoptosis. Collectively, we have shown that Gal-1 may favor HSC engraftment in an MHC-mismatched murine model. Our results demonstrate that Gal-1-expressing Tregs, especially at earlier time points post-transplant, are associated with inducing immune tolerance and stable mixed chimerism after HCT.
1 Introduction
Allogeneic hematopoietic cell transplantation (allo-HCT) offers a curative option for patients with sickle cell disease (SCD). Human leukocyte antigen (HLA)-matched sibling HCT offers encouraging overall and event-free survival (EFS) for SCD (1, 2). However, HLA-matched sibling HCT is available for very few patients (3). Stable mixed chimerism is sufficient to reverse SCD (2, 4–6). Indeed, we showed that 20% donor myeloid chimerism is sufficient to render patients free of SCD (7). HLA-haploidentical HCT (haplo-HCT) expands the donor pool, with 90% of patients having a haplo donor (8). Earlier, we reported the results of 21 patients with SCD who received haplo-HCT. Our conditioning regimen consisted of alemtuzumab, 400 cGy total body irradiation (TBI), sirolimus (Sir), and a dose-escalation of post-transplant cyclophosphamide (PT-Cy). We found that 100 mg/kg PT-Cy improved the engraftment rate and event-free survival, but 50% of patients rejected their grafts (9).
Historically, the main limitation of haplo-HCT is graft rejection, which occurs by an immune response directed against the transplanted tissue due to the HLA mismatch between the recipient and the donor (10). Acute rejection is a complex process involving innate and adaptive immune responses. Major histocompatibility complex (MHC) molecules expressed on the graft are rapidly recognized by innate immune cells [dendritic cells (DCs), natural killer (NK) cells, macrophages, and neutrophils]. Subsequently, these cells activate adaptive immune cells, such as CD4+ and CD8+ T cells, which play a central role in graft rejection (11, 12). Besides T cells, B cells contribute to allograft rejection by serving as antigen-presenting cells (APCs), producing antibodies, and secreting proinflammatory cytokines (13). However, allograft tolerance in engrafted hosts is frequently associated with generating suppressor regulatory T cells (Tregs), preventing graft rejection, and promoting allograft tolerance in animal models and clinical transplantation settings (14–16). Besides Tregs, type 1 regulatory (Tr1) cells suppress the expansion of effector T cells and promote tolerance in transplantation (17, 18). Furthermore, regulatory B cells (Bregs), myeloid-derived suppressor cells (MDSCs), and tolerogenic DCs promote tolerance in organ transplantation (19–21).
Recently, we used a mass spectrometry-based proteomics approach to identify proteins associated with engraftment after haplo-HCT in patients with SCD. Our data showed a significant upregulation of galectin-1 (Gal-1) in plasma samples from engrafted patients compared to patients who rejected their grafts (22). Gal-1 is a prototypical member of a family of β-galactose-binding proteins and is expressed in several organs and immunologically privileged tissues (23–25). Furthermore, Gal-1 is expressed by various immune cells, including activated T cells, Tregs, B cells, and macrophages (26–29). Gal-1 controls multiple T cell processes, such as T cell signaling, activation, apoptosis, cytokine production, and Treg expansion (30–32). Earlier studies in transplantation showed that administration of Gal-1 in rats prolonged renal allograft survival by inhibiting the CD8+ T cell response and reduced the incidence of graft versus host disease (GVHD) in an allo-HCT model (24, 33). The absence of endogenous Gal-1 accelerated skin graft rejection in mice (34).
Here, we studied cells associated with engraftment/graft rejection and whether Gal-1 and Gal-1 expressing cells could mediate immune regulation and influence transplant outcomes in an MHC mismatched allo-HCT mouse model. We demonstrate that frequencies of Treg, Tr1, Th2 cells, and IL-10-producing CD4+ T cells were higher in engrafted mice. Our data also revealed that Treg, Tr1, and Th2 cells expressing Gal-1 are higher in engrafted hosts. Concomitantly, we noted higher frequencies of T cells, NK cells, and inflammatory cytokine (IFN-γ and TNF-α) producing CD4+ T cells, DCs, and macrophages in rejected mice. Importantly, we provide evidence for elevated Treg suppressive activity in engrafted mice compared to rejected mice. Conceivably, high Gal-1 expression on these cells could be one of the mechanisms. Further, Gal-1 specific blockade in Tregs reduced suppression of effector T cells. Collectively, our data provide new insights into the potential roles of Gal-1 in mediating immune regulation in murine allo-HCT.
2 Methods
2.1 Mice transplantation and immunosuppression
Female BALB/c (H2Kd) donor and male C57BL/6J (H2Kb) recipient mice (~6 to 10 weeks of age) were purchased from Jackson Laboratory (Bar Harbor, ME, USA). C57BL/6J recipient mice received Sir 3 mg/kg/day [intraperitoneal (i.p.)] for 15 days starting four days after allo-HCT with or without PT-Cy (either 50 mg/kg given in divided doses on day 3 and day 4 post- transplantation or 200 mg/kg given on day 2 post-transplant, i.p.). A fourth group received 200 mg/kg PT-Cy alone on day 2 post-transplant. On the day of the allo-HCT, C57BL/6J recipient mice received 200 cGy TBI followed by injection of 25×106 bone marrow (BM) cells/mouse [(intravenous (i.v.)] from femurs and tibias of BALB/c donor mice (Figure 1A). Following the allo-HCT, mice were monitored for survival and signs of morbidity (weight loss, ruffled fur, decreased energy, and hunched posture). Immunosuppressive agents were prepared and injected as previously described (35). All mice were properly handled and cared for in accordance with the Animal Care and Use Protocol, which was approved by the Animal Care and Use Committee at the National Heart, Lung, and Blood Institute.
Figure 1. PT-Cy alone or in combination with Sir results in engraftment after MHC allo-HSCT. (A) C57BL/6J, H2Kb recipient mice received 200 cGy TBI followed by 25×106 BM cells from Balb/C, H2Kd donor mice at day 0. Recipient mice were treated with Sir only, 200 mg/kg Cy, Sir with 200 mg/kg Cy, or Sir with 50 mg/kg Cy. (B) The graph shows the percentage of donor chimerism on days 7, 14, 30, and 60 post-transplant. (C) Representative dot plots of recipient and donor cells from recipient control, donor control, engrafted, and rejected mice at day 60 post-transplant are shown, while the graphs below show the frequency of donor chimerism from engrafted and rejected mice at days 30 and 60 post-transplant in the spleen and peripheral blood. *p < 0.05, ***p < 0.001, and ****p < 0.0001 (unpaired two-tailed Student’s t-test). The data represent two experiments involving 7-9 mice per group (Mean ± SEM). Figure 1A was created with BioRender.com.
2.2 Lymphocyte and mononuclear cell isolation
Lymphocytes extracted from the spleen and lymph nodes were prepared as described previously (36). Briefly, spleen and lymph nodes were harvested from mice on indicated days, and the tissues were homogenized using a cell strainer (70 μm, Nest Scientific USA, Rahway, NJ). Red blood cells (RBCs) were lysed using sterile ACK lysing buffer. Lymphocytes were washed and suspended in sterile RPMI complete medium [supplemented with 10% heat-inactivated fetal bovine serum (FBS), L-glutamine (2 mM), sodium pyruvate (1 mM), HEPES (1 mM), non-essential amino acids (0.1 mM), 2-mercaptoethanol (50 μM), and penicillin and streptomycin (100 U/ml)], and the total amount of live cells was counted. Lympholyte (CEDARLANE, Burlington, NC) was also used to separate mononuclear cells (MNCs) from blood, according to the manufacturer’s protocol.
2.3 Surface and intracellular staining
The following antibody clones were used in this study: anti-H2Kd (SF1-1.1), anti-H2Kb (AF6-88.5), anti-CD4 (GK1.5), anti-CD8 (53-6.7), anti-CD5 (53-7.3), anti-CD25 (PC61), anti-CD19 (1D3), anti-CD11b (M1/70), anti-CD3 (17A2) (BD Biosciences, San Jose, CA); anti-CD45 (30-F11), anti-CD19 (6D5), anti-CD3e (145-2C11), anti-CD1d (1B1), anti-CD49b (DX5), anti-CD11c (N418), anti-MHC-II IA/IE (M5/114.15.2), anti-CD11b (M1/70), anti-NK1.1 (PK136), anti-Gr1(RB6-8C5), anti-F/480 (8M8), and anti-NKP46 (29A1.4) (BioLegend, San Diego, CA); anti-H2Kb (AF6-88.5.5.3) (eBioscience, San Diego, CA); and LIVE/DEAD Fixable Aqua Dead Cell Stain Kit (Life Technologies, Carlsbad, CA). For intracellular detection of LAG3+ (C9B7W), GATA3+ (L50-823), T-bet+ (4B10), Foxp3+ (FJK-16s), RORγt+ (B2D), HELIOS+ (22F6), and Gal-1+ cells were identified after fixation and permeabilization (Foxp3 Transcription Factor Buffer Set, eBioscience). The following murine antibodies were used: anti-LAG3, anti-GATA3 (BD Biosciences); anti-Foxp3, anti-RORγt, anti-Helios (eBioscience); anti-Gal-1 (R&D systems); and anti-Tbet (BioLegend). Further, for intracellular cytokine detection, spleen and lymph node cells (3x106) in complete medium were stimulated with a cell stimulation cocktail (eBioscience) containing PMA, ionomycin, Brefeldin A, and monensin for 5 hours at 37°C. Later the cells were washed, fixed, permeabilized, and stained with intracellular cytokine antibodies anti-IFN-γ (XMG1.2), anti-IL-4 (11B11, BioLegend); anti-TNF-α (MP6-XT22), IL-10 (JES5-16E3), IL-17 (TC11-18H10, BD Biosciences); and TGF-β (R&D systems) overnight at 4°C. Cells were washed and acquired by BD FACSymphony (BD Biosciences) flow cytometers with FACSDiva software. Flow cytometry data were analyzed using FlowJo software version 10.5 or 10.6 or both (FlowJo LLC, Ashland, OR).
2.4 Cell purification
Spleen and lymph nodes were harvested from recipient mice on day 30 or day 60 post-transplant. Single-cell suspensions were prepared as described above and later washed and resuspended in MACS buffer (PBS, pH 7.2, 0.5% bovine serum albumin (BSA), and 2mM EDTA). CD4+ T cells were enriched by labeling a single-cell suspension with CD4 (L3T4) microbeads for 15 min at 4°C and purified through LS columns, according to the manufacturer’s protocol (Miltenyi Biotec, San Diego, CA). Tregs and effector T cells were flow sorted by FACS as described previously (37, 38). Briefly, enriched CD4+ T cells were then stained with anti-CD4 and anti-CD3, anti-CD25, anti-H2Kb, anti-CD45RB, and LIVE/DEAD Fixable Aqua Dead Cell Stain Kit for 30 minutes at 4°C. Live+CD4+CD25- effector T cells and CD4+CD25+ Tregs were sorted using FACSAria flow cytometer.
2.5 Flow cytometry
Cell surface staining was performed as described previously with some modifications (36). Briefly, after spleen and lymph node cells were harvested, cells (3x106 cells) were suspended in a sterile complete medium. For surface staining, cells were stained in fluorescence-activated cell sorting (FACS) staining buffer [1x PBS with 2% heat-inactivated FBS with the following surface murine antibody conjugates. Cells were washed and acquired by BD FACSymphony flow cytometers with FASCDiva software. Data were analyzed using FlowJo software version 10.5, 10.6, or both.
2.6 T cell proliferation and Treg suppression assays
To assess the proliferation of effector T cells, spleen and lymph nodes from recipient mice were purified for CD4+ T cells, then CD4+CD25- T cells (5x104) were flow sorted and cultured (5% CO2, 37°C) with anti-CD3 and anti-CD28 beads (bead: cell ratio of 1:2; Life Technologies) for 3 days in triplicate. Cultures were pulsed with tritiated (3H) thymidine (1 microcurie/well) during the last 6 hours of the culture period. To assess the Treg suppression capacity, flow-sorted C57BL/6 CD4+ CD25+ Tregs from groups of mice were added to autologous wild type CD4+CD25− effector T cells (Treg: T effector cells at ratios of 1:1 to 1:64). Cells were cultured (5% CO2, 37°C) with anti-CD3 and anti-CD28 T-cell expander beads for 3 days. CD4+CD25− effector T cells were cultured without Tregs under identical conditions to serve as controls. Further, in some experiments to study the effect of rGal-1 on effector T cells, CD4+CD25- T cell fraction was flow- sorted from wild type mice. Effector T cells were then cultured with an increased concentration of rGal-1 (R and D Systems, Minneapolis, MN, USA; PeproTech, NJ, USA) in the presence of anti-CD3 and anti-CD28 T-cell expander beads for 3 days. During the last 6 hours of culture, cells were pulsed with 3H-thymidine and harvested by a multichannel harvester. In all these experiments (triplicate wells), the amount of incorporated 3H-thymidine was measured as counts per minute (CPM, proliferation read-out) in a liquid scintillation counter (Perkin Elmer, Waltham, MA).
2.7 Gal-1 silencing
To assess whether Gal-l expression affects the Treg suppressive capability of effector T cells, flow-sorted Tregs from the spleen and lymph nodes from recipient mice were incubated with anti-Gal1 siRNA (Invitrogen) to silence Gal-1 expression, as previously described (39), with minor modifications. Briefly, CD4+CD25+ Tregs were resuspended in Opti-MEM medium (Invitrogen). Lipofectamine RNAiMAX reagent (Invitrogen) was used to transfect the Gal1-siRNA (3 nM), according to the manufacturer’s instructions. A negative control siRNA (Invitrogen) was used as a transfection control. Following overnight incubation (5% CO2, 37°C), Tregs were co-cultured with CD4+CD25- cells (Treg: T effector cell ratio 1:16 and 1:32) to assess the effect of Gal-1 on Treg suppression activity. Cell proliferation was measured as described above.
2.8 ELISA
Plasma samples obtained from transplanted mice were used to quantify Gal-1 levels with an ELISA quantitation kit (Thermo Fisher Scientific). The experimental methods of ELISA were in accordance with the manufacturer’s instructions.
2.9 Apoptosis
For analysis of cell apoptosis in vitro, cells pooled from spleens and lymph nodes from recipient mice of each group were stained with surface antibodies (anti-CD4, anti-CD8, anti-CD25, anti-CD19, anti-CD11b, and anti-CD11c). After surface staining, the cells were washed and stained with the annexin V‐FITC and propidium iodide (PI), according to the manufacturer’s instructions (BD Biosciences). Stained cells were analyzed via FACSymphony flow cytometers with FACSDiva software. The data obtained from flow cytometry data were analyzed using FlowJo software version 10.6.
2.10 Statistics
GraphPad Prism7 (Graph-Pad Software, Inc. La Jolla, CA) was used to generate the graphs. Statistical analysis was performed using unpaired two-tailed t-tests with p-value < 0.05 considered statistically significant. Data were presented as mean ± standard error of the mean (SEM).
3 Results
3.1 PT-Cy alone or in combination with Sir results in engraftment of donor stem cells
We showed previously that the immunosuppressive agents Sir and Cy act synergistically to induce and maintain stable mixed chimerism in this murine HSCT model and also in our human nonmyeloablative haplo-HSCT protocol for SCD (9, 35). Others have shown that low-dose PT-Cy (50 mg/kg given as two divided doses) was effective in a mouse haplo-HCT model in preventing GVHD by inducing alloreactive T cell dysfunction and enhancing Treg suppression (40). In this study, we employed an MHC mismatched mouse model [donors BALB/c (H2Kd) and recipients C57BL/6 (H2Kb)] to mirror the HLA inconsistency seen in haplo-HSCT. So, we evaluated both low-dose (50 mg/kg) and high-dose PT-Cy (200 mg/kg) in addition to Sir, PT-Cy (200 mg/kg) alone or Sir alone in MHC mismatched allo-HCT model (Figure 1A). We observed that mice treated with Sir and 200 mg/kg PT-Cy lost body weight (~15%) during the injection period, and then they steadily gained weight after discontinuation of immunosuppression (Supplementary Figure 1A). Previous studies have reported the symptoms of GVHD in mouse models (41). In the current study, we did not notice any considerable symptoms of recipient mice showing chronic GVHD, such as weight loss, decreased appetite, diarrhea, and scaling up to day 60 post-transplantation. This observation prevented us from collecting any tissues such as kidney, liver and lung from the mice at the termination of the experiment. Donor chimerism was evaluated in spleen cells on days 7, 14, 30, and 60 post-transplant. The total donor chimerism level was < 2% in the spleen on days 7 and 14 post-transplant; therefore, these time points were excluded from further analysis (Figure 1B). 100% (8 of 8) of mice that received Sir and 200 mg/kg PT-Cy maintained peripheral blood mixed chimerism on day 30 (16.4 ± 3.23%) and day 60 (16.88 ± 1.624%) post-transplant. 100% (8 of 8) of mice that received only Sir rejected their grafts. On the other hand, groups that were conditioned with Sir and 50 mg/kg PT-Cy showed donor chimerism in 44.4% (4 of 9) of mice at day 30 and day 60, and the mean levels of donor chimerism were 11.61 ± 2.99% and 23.78 ± 3.466%, respectively. Engraftment was evident in 77.7% (7 out 9) and 44.4% (4 out 9) of mice treated with only 200 PT-Cy on D30 (21.82 ± 6.05%) and D60 (21.65 ± 3.739%), respectively (Figure 1B). Based on the presence of donor chimerism (> 2%), mice were divided into two groups, ‘engrafted’ versus ‘rejected’ at day 30 and day 60 post-transplant. As expected, the engrafted group had significantly higher donor chimerism levels in both spleen and peripheral blood (Figure 1C). These results suggest that the combination of 200 cGy TBI, 50 or 200 mg/kg PT-Cy, and 3 mg/kg/day Sir for 15 days was sufficient to induce mixed chimerism in mismatched mouse HCT. On the other hand, Sir alone was insufficient to induce mixed chimerism. We also assessed the level of donor chimerism among cell subsets. We found 86.03± 10.53% and 85.82 ± 4.52% of donor cells (H2Kd) were CD19 cells at D30 and D60, respectively (Supplementary Figures 1B, C).
3.2 NK cells and APCs are associated with graft rejection
We evaluated the role of non-T cells in graft tolerance or rejection. Specifically, we quantified NK cells (CD3-CD11b-CD11c-NK1.1+NKP46+) and APCs, such as DCs (CD11c+MHC-II IA+/IE+), macrophages (CD11b+F/480+), and B cells (CD19+) in our model. The gating strategy used to identify these cells is shown in Supplementary Figure 2A. The frequency and absolute number of NK cells were significantly increased in rejected mice at day 60 post-transplant (Figure 2A). Furthermore, DCs and macrophage frequencies were significantly increased at day 60 post-transplant in rejected mice (Figures 2B, C). There was no significant difference in B cell frequency between the two groups (Supplementary Figure 2B). These results suggest that NK cells, DCs, and macrophages correlate with graft rejection in murine MHC mismatched allo-HCT.
Figure 2. Non-T cells like NK cells, DCs, macrophages, and B cells are involved in graft rejection. (A-C) Representative dot plots of NK cells (CD3-CD11b-CD11c-NK1.1+NKP46+), DCs (CD11c+MHC-II IA/IE+), and macrophages (CD11b+F/480+) from engrafted and rejected mice at day 60 post-transplant are shown. The graphs show the frequency and number of NK cells, DCs, and macrophages from splenocytes of engrafted and rejected mice at days 30 and 60 post-transplant. *p < 0.05 and ***p < 0.001 (unpaired two-tailed Student’s t-test). These results represent one to two experiments involving 3 to 20 mice per group (Mean ± SEM).
3.3 CD4+ and CD8+ T cells are associated with graft rejection
Apart from non-T cells, we evaluated key players of the adaptive immune response, such as CD4+ T cells, their subsets, and CD8+ T cells in allo-HCT at days 30 and 60 post-transplant. The gating strategy used to identify CD4+, CD8+, and T helper (Th) subsets of CD+ T cells is shown in Supplementary Figure 3A. The CD4+ and CD8+ T cell frequencies were significantly higher in rejected mice at days 30 and 60 post-transplant in splenocytes and peripheral blood. Additionally, absolute numbers of CD8+ T cells were also significantly greater in rejected mice (Figure 3A; Supplementary Figure 3B). At day 14 post-transplant, no significant differences were observed in CD4+ and CD8+ T cell frequency (data not shown). Next, we measured different subsets of CD4+ Th cells such as Tbet+ (Th1), Gata3+ (Th2), and RoRγt+ (Th17) cells at days 30 and 60 post-transplant. As shown in Figure 3B, the frequency of Th2 cells was significantly higher in engrafted mice at days 30 and 60 post-transplant. On the contrary, the frequency and number of Th17 cells were significantly increased in rejected mice at day 60 post-transplant (Figure 3C). We did not observe any significant difference in the frequency of Th1 cells between the two groups (Figure 3D). Therefore, our data suggest that CD4+ Th17 and CD8+ T cell populations might mediate graft rejection; conversely, immune suppressive Th2 cells are linked to mixed chimerism in engrafted mice.
Figure 3. CD4+ and CD8+ T cells are associated with graft rejection. (A) Representative dot plots (top panel) depict CD8+ and CD4+ T cells at day 60 post-transplant, and the graphs (bottom panels) show the frequencies and absolute numbers of CD4+ and CD8+ T cells from splenocytes of engrafted and rejected mice at days 30 and 60 post-transplant. (B-D) Representative dot plots show CD4+Foxp3-Gata3+, CD4+Foxp3-Rorγt+ and CD4+Foxp3-Tbet+ T cells from engrafted and rejected mice at day 60 post-transplant, along with isotype control (top panel) and the graphs below show the frequencies and numbers of the respective cell populations (bottom panels) from engrafted and rejected mice at days 30 and 60 post-transplant. *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001 (unpaired two-tailed Student’s t-test). The data represent one to two experiments involving 3 to 20 mice per group (Mean ± SEM).
3.4 Tregs, Tr1 cells, and Bregs are associated with mixed chimerism
Next, we examined whether immune suppressive cells may mediate graft tolerance in our study. We found that frequency and absolute numbers of CD4+Foxp3+ Tregs are higher in the spleens of engrafted mice at days 30 and 60 post-transplant (Figure 4A). Similarly, the frequency of Tregs was also significantly increased in peripheral blood (Supplementary Figure 4A). As expected, CD4+Foxp3- conventional T cells (Tconv) frequencies were significantly higher in the rejected groups (Figure 4A; Supplementary Figure 4A). Recent literature suggests that the transcription factor, Helios, can serve as a marker of thymic-derived natural Tregs (tTregs), and these cells have more robust suppressive activity than induced Tregs (iTregs) (42). Here, we sought to evaluate Helios+ Tregs and, interestingly, we found that engrafted mice had significantly higher percentages of Helios+ Tregs at both time points (Figure 4B).
Figure 4. Tregs and Tr1 cells are associated with stable mixed chimerism. (A) Representative dot plots (left panels) and graphs (right panels) show Tregs (CD4+Foxp3+) and Tconv (CD4+Foxp3-) cell frequencies and absolute numbers from splenocytes of engrafted and rejected mice at days 30 and 60 post-transplant. (B) Representative dot plots depict Helios+Foxp3+ Tregs at day 60 post-transplant (top panel), and the graphs (bottom panel) show the frequencies of Helios+ Foxp3+ Tregs from splenocytes of engrafted and rejected mice at D30 and D60 PT. (C) Representative dot plots illustrate Tr1 (CD4+Foxp3-LAG3+CD49b+) at day 60 post-transplant (top panel), and the graphs (bottom panel) show the frequencies and absolute numbers of Tr1 cells in engrafted and rejected mice at day 30 and 60 post-transplant. (D) The graphs show the frequencies of Tregs, Tr1, Bregs, tTregs, and Th2 cells in mice treated with Sir alone, PT-Cy (200 mg/kg) alone, high-dose PT-Cy (200 mg/kg) with Sir, or low-dose PT-Cy (50 mg/kg) with Sir at day 30 and 60 post-transplant. *p < 0.05, **p < 0.01, ***p < 0.001 and ****p < 0.0001 (unpaired two-tailed Student’s t-test). The data represent one to two experiments involving 3 to 20 mice per group (Mean ± SEM).
Furthermore, we evaluated the percentages of Tr1 cells (CD4+Foxp3-LAG3+CD49b+) and found the proportion of Tr1 cells was higher in engrafted mice at day 60 post-transplant (Figure 4C). We also evaluated Bregs (CD19+CD1d+CD5+) and found no significant difference in frequencies between the two groups, but the absolute number of Bregs approached significance in the engrafted group at day 60 post-transplant (p=0.05, Supplementary Figure 4B). These data suggest that Foxp3+ Tregs, mainly Helios+ Tregs, may play a role in the maintenance of mixed chimerism in MHC-mismatched allo-HCT.
We further evaluated the percentage of these cells in the sub-cohorts (Sir alone, PT-Cy (200 mg/kg) alone, low-dose (50 mg/kg) and high-dose PT-Cy (200 mg/kg) with Sir.). The percentage of CD4+Foxp3+ Tregs (D30 and D60), Tr1 (D60), Helios+ Tregs (D30 and D60), and Th2 T cells (D30) were significantly increased in the high-dose PT-Cy (200 mg/kg) with Sir group. Additionally, CD4+Foxp3+ Treg and Helios+Tregs at D60 were significantly higher in low-dose PT-Cy (50mg/kg). We found no significant differences in Breg percentages among treatment groups (Figure 4D). These findings suggest that immunosuppressive treatment, mainly high or low-dose PT-Cy combined with Sir, favored immune tolerance in engrafted recipients.
3.5 Evaluation of inflammatory and anti-inflammatory cytokines
To better understand the cellular mechanisms of the immune cells in our model, we examined the cytokine profile within CD4+, CD8+ T cells, B cells, DCs, and macrophages at D30 and day 60 post-transplant. As shown in Figure 5A, the proportion of anti-inflammatory IL-10+ CD4+ T cells was significantly increased in engrafted mice; on the other hand, frequencies of inflammatory TNF-a+ CD4+ T cells were markedly higher in the rejected mice at days 30 and 60 post-transplant. Further evaluation of the cytokines in APCs revealed that the inflammatory IFN-γ+DCs and macrophage frequencies were increased at day 60 post-transplant. Similarly, TNF-α+DCs were increased at day 30 post-transplant, and TNF-α+ macrophages were higher at day 30 and 60 post-transplant in rejected mice (Figures 5B, C). Importantly, the frequencies of IL-10+DCs and macrophages were significantly higher in engrafted mice at day 60 post-transplant (Figures 5B, C). Further, we observed that TNF-α+-producing CD8+ T and CD19+ B cells were significantly higher at day 60 post-transplant in rejected mice (Supplementary Figures 5A, B). In parallel, IFN-γ+ producing CD19+ B cells were elevated in rejected mice at day 60 post-transplant (Supplementary Figure 5B). These data suggest that inflammatory TNF-a + and IFN-γ+ cytokine-producing CD4+ and CD8+ T cells, DCs, macrophages, and B cells could contribute as cellular mediators of graft rejection.
Figure 5. Evaluation of inflammatory and anti-inflammatory cytokines. (A-C) Representative dot plots (left panels) for CD4+ T cells, macrophages (CD11b+ and F/480+), and DCs (CD11c+ and MHC-II IA/IE+) producing TNF-α, IFN-γ, IL-10, and TGF-β cytokines from engrafted and rejected mice spleens with isotype control at day 60 post-transplant are shown. The graphs show the frequencies of CD4+ T cells, macrophages, and DCs producing IL-10, IFN-γ, TGF-β, and TNF-α cytokines from engrafted and rejected mice at D30 and day 60 post-transplant (middle and right panels). *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001 (unpaired two-tailed Student’s t-test). The data represent two experiments involving 6 to 20 mice per group (Mean ± SEM).
3.6 Gal-1 in circulation and its expression in Tregs and Tr1 and Th2 cells is associated with engraftment
Earlier, our data showed a significant increase of Gal-1 in plasma samples obtained from engrafted patients with SCD who underwent haplo-HCT compared to those who rejected their grafts (22). Therefore, we hypothesized that Gal-1 would be elevated in plasma samples obtained from chimeric mice. Figure 6A shows a trend toward increased Gal‐1 levels in engrafted mice at day 60 post-transplant (p = 0.06). Plasma samples were analyzed based on immunosuppressive treatment groups; levels of Gal-1 were significantly higher in the high-dose PT-Cy (200 mg/kg) with Sir group than in the Sir alone and PT-Cy (200 mg/kg) alone groups at day 60 post-transplant. No significant difference was observed between low-dose PT-Cy (50 mg/kg) with Sir and other groups (Supplementary Figure 6A).
Figure 6. Gal-1 in circulation and Gal-1 producing Tregs, Tr1, and Th2 cells favor engraftment. (A) The graphs show the level of Gal-1 in plasma samples from engrafted and rejected mice. (B, C) Representative dot plots (left panels) show the expression of Gal-1+ cells within CD4+ and CD8+ T cells from engrafted and rejected mice at D30 and day 60 post-transplant, and the graphs (right panels) show the frequencies and absolute numbers of Gal-1+ cells within the respective gated population from splenocytes of engrafted and rejected mice at days 30 and 60 post-transplant. (D-F) Representative dot plots (left panels) illustrate Gal-1+ cells within Tregs, Tr1, and Th2 cells, and the graphs (right panels) show the frequencies and absolute numbers of respective populations from splenocytes of engrafted and rejected mice at days 30 and day 60 post-transplant. *p < 0.05, **p < 0.01, and ****p < 0.0001 (unpaired two-tailed Student’s t-test). The data represent one to two experiments involving 3 to 20 mice per group (Mean ± SEM).
Next, we sought to evaluate different populations of T and non-T cells that can express Gal-1. We found that frequencies (days 30 and 60 post-transplant) and absolute numbers (day 60 post-transplant) of Gal-1 expressing CD4+, but not CD8+, T cells were higher in engrafted mice (Figures 6B, C). Next, we noticed Gal-1+ cell frequencies among Foxp3+ Tregs, Tr1, Th2, and Th17, but not Th1 cells were higher in engrafted mice (Figures 6D–F; Supplementary Figures 6B, C). Further, we evaluated Gal-1 expression in non-T cells such as DCs, macrophages, B cells, Bregs, and NK cells. We found no differences between the two groups in all non-T cells except that Gal-1+ NK cells were higher in rejected mice (Supplementary Figures 6D–H). Our data suggest Gal-1 expressing Tregs, Tr1, and Th2 cells are associated with a successful HCT outcome (26, 43–45).
We further assessed Gal-1 expression in various T cells in the sub-cohorts. We noticed that the percentage of Gal-1 expressing Treg, Tr1, Helios+ Tregs, and Th2 cells were significantly increased in mice that received the high-dose PT-Cy (200 mg/kg) with Sir group compared with rejected mice groups at both time points, except Th2 cells are higher only at day 60 post-transplant. The percentages of Gal-1 expressing Treg (D60), Tr1 (D60), Helios+ Tregs (D60) and Th2 (D60) were significantly increased in the mice treated with low-dose Cy (50 mg/kg) with Sir. These results suggest that Gal-1-expressing Treg, Tr1, Th2, and Helios+ Tregs cells were expanded in groups that received PT-Cy and Sir (Supplementary Figure 6I).
3.7 Tregs display higher suppression, while effector T cells are prone to undergo apoptosis in engrafted mice
As Gal-1 mediates effector T cell suppression (46, 47), we studied this phenomenon in our model by testing the effect of recombinant Gal-1 (rGal-1) on effector T cell proliferation in in vitro conditions. CD4+CD25− effector T cells from wild-type (WT) mice were cultured with anti-CD3/anti-CD28 beads in the absence or presence of increasing concentrations of rGAl-1. As shown in Figure 7A, rGal-1 inhibited the proliferation of effector T cells in a dose-dependent manner. Others have reported Treg suppressive dysfunction in Gal-1 knockout mice (26). We noticed that the mean fluorescent intensities (MFIs) of the Gal-1+ population within CD4+CD25+ Tregs were significantly higher in engrafted mice (Supplementary Figure 7A). Therefore, we examined whether Gal-1 enriched Tregs from engrafted mice demonstrate a higher in vitro suppressive capacity. Flow-sorted CD4+CD25+ Tregs from engrafted and rejected mice were cultured in varying concentrations with a constant number of CD4+CD25- effector T cells from C57BL/6J mice. Of note, we did not evaluate the percent Fox3 frequencies after flow sorting CD4+CD25+ Tregs since others have previously shown that >95% CD4+CD25+ T cells express Foxp3 (48). We found that Tregs from engrafted mice demonstrated consistently increased suppressive capabilities at 1:4 (68% versus 37%), 1:8 (45% versus 24%), and 1:16 (42% versus 23%) Tregs to effector T cell ratios (Figure 7B), though only statistically significant at the 1:16 ratio. These results suggest that Tregs from engrafted mice may have increased suppressive activity in vitro, possibly due to their inherently increased expression of Gal-1, as shown in Figure 6D; Supplementary Figure 7A. Additionally, we ruled out the potential effect of IL-10 on Treg suppressive activity since IL-10-producing Treg frequencies were unaltered between groups (Supplementary Figure 7B). Further, to assess whether Gal-1 expression on Tregs affects their suppression, we silenced Gal-1 in both engrafted and rejected mice Tregs by Gal-1 small interfering RNA (siRNA) and negative/control siRNA. Following Gal-1 silencing of Tregs and culturing with effector T cells, we found that Treg suppressive indices were reduced from 52% (control siRNA) to 34% (Gal-1 siRNA) in engrafted mice and from 29% (control siRNA) to 14% (Gal-1 siRNA) in rejected mice at 1:16 ratio (Figure 7C). Similarly, we also observed that Treg suppressive indices were reduced from 45% (control siRNA) to 5% (Gal-1 siRNA) in engrafted mice and from 22% (control siRNA) to 3% (Gal-1 siRNA) in rejected mice at a 1:32 ratio (Figure 7C). These data suggest Gal-1 potentially plays a role in Treg suppressive activity in our MHC mismatched allo-HCT model.
Figure 7. Tregs display higher suppression activity, and effector T cells are susceptible to apoptosis in engrafted mice. (A) Recombinant Gal-1 was titrated in culture with CD4+CD25- effector T cells for 3 days. During the last 16 hours of culture, 3H- thymidine (1 microcurie/well) was added to measure cell proliferation readouts as counts per minute (CPM). (B) CD4+CD25+ Tregs were flow-sorted from engrafted (n=3) and rejected (n=3) mice, and Tregs cultured with different ratios of CD4+CD25- effector T cells from naïve WT mice. Proliferation (left panel) was measured as shown in (A), and the percent suppression of Tregs (right panel) was derived from subtracting the CPM values of different Treg: Teff ratios from the anti-CD3/anti-CD28 expander bead treated well positive control. (C) Gal-1 was knocked down in flow-sorted Tregs by Gal-1 siRNA or negative control siRNA from engrafted (n=4) and rejected (n=4) mice and then added at different ratios to flow-sorted CD4+CD25- effector T cells from WT mice. Effector T cell proliferation/Treg suppressive indices were measured as described in (B). (D) Representative dot plots illustrate annexin-V versus propidium iodide staining in CD4+CD25- and CD4+CD25+ T cells from engrafted (n=4) and rejected (n=4) mice at day 80 post-transplant. (E) The graph shows the proliferation of CD4+CD25- effector T cells from engrafted (n=4) and rejected (n=4) mice at day 80 post-transplant. The experiment was performed in triplicate. *P < 0.05, **P < 0.01, and ****P < 0.0001 (unpaired two-tailed Student’s t-test). The data represent one or two experiments, including 3 to 20 mice per group (Mean ± SEM).
Previously, Perillo et al., reported that Gal‐1 can induce apoptosis of activated T cells (25). Remarkably, we found a significant increase in frequencies and absolute numbers of Gal-1 expressing effector T cells in engrafted mice (Supplementary Figure 7C). Thus, we examined whether the endogenous Gal-1 from effector T cells and Tregs enhances the susceptibility of effector T cells to undergo apoptosis, which could contribute to the suppression of graft rejection and the induction of tolerance in engrafted mice. We found CD4+CD25- effector T cells, but not Tregs, had a ~ 2-fold increase in early apoptotic cell populations (annexin-V+ propidium iodide-) in engrafted mice (6.96%) than the rejected mice (3.97%) (Figure 7D). Further, to corroborate, we assessed the proliferation of effector T cells. As shown in Figure 7E, the proliferation of effector T cells is higher in rejected mice upon anti-CD3 anti-CD28 stimulation. We also tested the role of endogenous Gal-1 in inducing the apoptosis of CD8+ T cells, B cells, macrophages, and DCs; however, the only differences observed were higher proportions of dead macrophages in engrafted mice (30.3% vs. 4.58%, Supplementary Figure 7D). Taken together, these results suggest that CD4+CD25- effector T cells and macrophages from engrafted mice may undergo apoptosis and cell death, possibly because of the high expression of endogenous Gal-1. Further, immune tolerance during MHC mismatched allo-HCT was achieved by the concerted help of Gal-1 expressing Tregs, which could be one of the mechanisms that reduce graft rejection and enhance mixed chimerism in engrafted mice.
4 Discussion
A successful allo-HCT outcome is determined by the delicate balance between immune regulatory and effector mechanisms that induce tolerance or graft rejection, respectively. There remains a pressing need to understand the precise roles of inflammatory and regulatory cells in HCT outcomes and which immune cells express regulatory cytokines and proteins that could act as prognostic indicators of HCT outcomes. In this context, we studied the immunophenotype of tolerogenic and effector cell subsets in engrafted and rejected mice after murine MHC-mismatched allo-HCT. Additionally, we evaluated inflammatory and regulatory cytokines and explored the function of Gal-1 in graft outcome at various time points post-allo-HCT. Others have noted that CD8+ T cells were associated with islet and skin allograft rejection, while CD4+ T cells contributed to corneal allograft rejection (49, 50). Our data suggest that CD4+ and CD8+ T cells may be associated with the development of graft rejection since we found an increase in the frequencies and numbers of CD4+ and CD8+ T cells in rejected mice. During an active immune response, CD4+ T cells undergo differentiation into various inflammatory (Th1 and Th17) and anti-inflammatory (Th2) subsets. Earlier studies suggested that Th17 cells are involved in cardiac and renal allograft rejection (51, 52). Here, we observed increased frequencies of Th17 cells in rejected mice. Furthermore, another study demonstrated that Th2 cells can delay and prevent allograft rejection (53). We also noted increased frequencies of Th2 cells in engrafted mice. Lastly, as earlier results displayed the importance of NK cells, DCs, and macrophages in graft rejection (54–56), we noted these cells were increased in rejected mice at day 60 post-transplant. Our data suggest that the Th17 subset of CD4+ T cells, CD8+ T cells, NK cells, DCs, and macrophages are associated with graft rejection in our model. Successful graft outcome is usually related to the expansion of immune regulatory cells such as Tregs (14, 15, 57) and other regulatory cells, including Tr1 cells and Bregs (17, 18, 21, 58). The engrafted mice displayed significantly increased frequencies and absolute numbers of Foxp3+ Tregs in this study. Tregs are the predominant immune suppressors that regulate immune-mediated inflammation by inhibiting the proliferation and function of several immune cells (CD4+ and CD8+ T cells, B cells, DCs, and NK cells) through various mechanisms (59, 60). We detected that Tregs expressed the transcription factor Helios, indicating that they are predominantly thymic-derived in origin (61). Our observation correlates with the finding that Helios+Foxp3+ Tregs are associated with a decreased incidence and severity of GVHD (62). Our data suggest increased Tregs, specifically thymic-derived Tregs, and Tr1 cells favor engraftment after allo-HCT.
We analyzed the differential change in inflammatory cytokines such as IFN-γ and TNF-α in allo-HCT and found that both were significantly increased in rejected mice. Specifically, DCs and macrophages proved to be a noteworthy source of IFN-γ. In contrast, CD4+ T cells, DCs, macrophages, and B cells acted as a significant source of TNF-α in rejected mice. Others have reported a positive correlation between IFN-γ, TNF-α and graft rejection in various transplantation models (63–66). Besides, we noted that the anti-inflammatory cytokine IL-10, produced by CD4+ T cells, was increased early after allo-HCT and increased proportions of IL-10-producing CD4+ T cells, macrophages, and DCs at day 60 post-transplant. IL-10 plays a pleiotropic role in many autoimmune diseases, organ transplantation, and tumor tolerance, including via Treg-mediated suppression (67, 68). However, the importance of IL-10 in transplantation tolerance remains debatable, as some studies showed the useful effects of IL-10 in boosting graft survival. Still others suggested a neutral or unfavorable impact on transplant outcomes (69, 70). We did not observe a difference in IL-10 levels within Foxp3+ Tregs from both groups of mice. Our data confirm that IL-10-producing CD4+ T cells, DCs, and macrophages mediate engraftment, whereas IFN-γ and TNF-α-producing CD8+ T cells, DCs, macrophages, and B cells associate with graft rejection.
We found that Gal-1 levels were higher in engrafted SCD patients with successful haplo-HCT than those who rejected their grafts (22). Therefore, we sought to evaluate whether Gal-1 is involved in our mismatched murine models’ induction and maintenance of immune tolerance. Here, we found a trend toward increased plasma levels of Gal-1 in engrafted mice. Furthermore, at cellular levels, the frequencies of Gal-1 expressing CD4+Th2, Foxp3+ Tregs, and Tr1 cells were higher in engrafted mice. Our data suggest an association between Gal-1 expressed on these cells and a successful HCT outcome. Others have noted that Tregs suppress conventional T cells through the surface expression and cellular secretion of Gal-1 since Gal-1 interacts with CD2, CD3, CD7, CD43, and CD45 receptors on effector T cells. Downstream Gal-1 signaling leads to apoptosis and inhibition of proinflammatory cytokines (30, 32, 71). We provide further evidence that Gal-1 expression could be one of the mechanisms for enhanced Treg suppressive activity in our model. Previously, others demonstrated effective knockdown of Gal-1 using identical Gal-1 siRNA sequences, which we procured (39). Thus, we did not evaluate the efficacy of Gal-1 siRNA following transfection (39). Gal-1 specific gene knockdown in Tregs was associated with attenuated suppressive activity of Tregs. Our results support the previous finding that Gal-1+ Tregs were significantly reduced in patients who rejected liver transplants (39). Besides, blocking Gal-1 with a neutralizing antibody reduced the inhibitory effects of human and mouse Tregs, and Tregs from Gal-1 deficient mice had lower suppressive activity than WT mice Tregs (26). Gal-1 has been shown to improve inflammation in many disease settings, such as autoimmunity and transplantation, by promoting Tregs and Th2 cells, while Gal-1 induces the apoptosis of Th1 and Th17 cells (31, 72–75). Interestingly, we also noticed increased Gal-1 expression on effector T cells in engrafted mice. Studies demonstrated that Gal-1 works in an autocrine manner where overexpression and secretion of Gal-1 on effector T cells causes them to undergo cell-cycle arrest at S and G2/M phases (27, 76, 77). Our results reveal an association of Gal-1 with apoptosis, which inhibits effector T cell expansion after allo-HCT. We showed that effector T cells from engrafted mice, but not Tregs, are more prone to undergo apoptosis. These data suggest that Gal-1 expression could induce immune tolerance in murine allo-HCT by increased activity of Gal-1 expressing Tregs and Gal-1 mediated effector T cell apoptosis. The protective role of Gal-1 by various immune cells has been reported in several studies. For instance, Gal-1 expression in CD8+ T lymphocytes is protective in controlling inflammation in allergic dermatitis (78). Another study suggests that Gal-1 induces the regulatory function of B cells (79). Gieseke et al., demonstrated that human multipotent mesenchymal stromal cells (MSCs) use Gal-1 to inhibit effector T cells and decrease cytokine production by PBMCs (80). In this study, we did not find an increase of Gal-1 expression in CD8+ T cells and B cells. Also, we did not evaluate the role of Gal-l in the suppressive function of MSCs in our model.
A previous study reported that PT-Cy-mediated protection against GVHD involves recruiting and maintaining rapidly returning donor CD4+Foxp3+Tregs to initiate and maintain immune regulation (81). Others have shown that PT-Cy was effective in a mouse haplo-HCT model in preventing GVHD by inducing alloreactive T cell dysfunction and enhancing Treg suppression (40). Fletcher et al. recently reported that PT-Cy prevents GVHD via myeloid-derived suppressor cells (MDSCs) through an indirect effect on Tregs (82). In this study, mice receiving high-dose PT-Cy and Sir displayed increased percentages of CD4+Foxp3+ Tregs, Tr1, Helios+ Tregs, and Th2 cells. Furthermore, the plasma levels of Gal-1, Gal-1 expressing Treg, Tr1, Th2, and Helios+ Tregs were also significantly increased in mice treated with high and low dose PT-Cy and Sir. These findings could help to understand the nature of the suppressive mechanisms induced by PT-Cy and Sir after mismatched allo-HCT.
Earlier studies have identified various beneficial roles of Gal-1 in treating several experimental autoimmune diseases, including experimental autoimmune encephalitis, collagen-induced arthritis, concanavalin A-induced hepatitis, nephrotoxic nephritis, autoimmune diabetes, experimental autoimmune uveitis, serum-induced nephritis, and inflammatory bowel disease (31). In the context of transplantation, Gal-1 has been shown to improve the survival of transplanted organs and reduce the incidence of GVHD in mice undergoing allogeneic HCT (24). Additional studies have demonstrated that administering Gal-1 in rats prolongs the survival of renal allografts (33). On the other hand, the absence of endogenous Gal-1 hastened the rejection of skin grafts in mice (34). Similarly, Gal-1 has been found to enhance the survival of liver allografts in mice (46). Moreover, elevated levels of Gal-1 were observed in stable liver transplant recipients compared to rejected recipients and healthy individuals We previously reported that Gal-1 is associated with engraftment in SCD patients with successful haplo-HCT (22). In the current study, we observed a tendency toward higher plasma levels of Gal-1 in the engrafted mice. We suspect that administration of recombinant Gal-1 may have a therapeutic effect after allo-HCT, but further investigation is required.
Our study has several limitations. The current experiment used the MHC-mismatched murine BMT model, and findings must be validated in another BMT model to eliminate strain-dependent factors. We remain uncertain about the difference in graft outcomes between mice treated with the same conditioning regimen. In addition, we did not dissect the functional role of Gal-1 expressing Tregs and rGal-1 in allo-HCT. We showed that Gal-1-expressing Treg, Tr1, and Th2 cells were associated with engraftment; however, a depletion study is needed to demonstrate the mechanistic role of these cells in determining the graft’s outcome. Further studies are also required to evaluate the potential mechanisms of action of other immune cells, such as Gal-1 expressing Tr1, Th2, DC, NK, and Th17 cells in mediating graft outcome in our model.
In conclusion, Gal-1 is associated with several immunoregulatory functions, such as increasing suppressive activity of Tregs and inducing apoptosis of effector T cells following mismatched murine allo-HCT. Our results indicate that not only Gal-1 expressing Tregs but also Gal-1 expressing Tr1 and Th2 cells may correlate with the successful HCT outcome. Our results can be used to develop novel strategies to prevent or treat allograft rejection, including administering Gal-1 overexpressing Tregs and treating of recipients with r-Gal-1.
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author. Data will be deposited in Figshare (DOI: 10.25444/nhlbi.25438342).
Ethics statement
The animal study was approved by Animal Care and Use Committee at the National Heart, Lung, and Blood Institute. The study was conducted in accordance with the local legislation and institutional requirements.
Author contributions
ASh: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing. AG: Conceptualization, Formal analysis, Methodology, Supervision, Writing – original draft, Writing – review & editing. MA: Writing – review & editing, Methodology. XX: Writing – review & editing, Formal analysis. MK: Writing – review & editing, Formal analysis. AK: Writing – review & editing, Formal analysis, Methodology. KA: Writing – review & editing, Methodology. ASa: Writing – review & editing, Methodology. ML-O: Writing – review & editing, Methodology. JPM: Resources, Writing – review & editing, Methodology. CF: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by the Intramural Research Program of the National Heart, Lung, and Blood Institute, National Institutes of Health.
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
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Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2024.1411392/full#supplementary-material
Supplementary Figure 1 | Body weights and donor chimerism of transplanted mice. (A) C57BL/6J, H2Kb recipient mice received 200 cGy TBI followed by 25×106 BM cells from Balb/C, H2Kd donor mice at day 0. Recipient mice were treated with Sir only, 200 mg/kg Cy, Sir with 200 mg/kg Cy, or Sir with 50 mg/kg Cy. The graph shows body weights of transplanted mice over time. (B, C) Graphs show the frequency of donor chimerism among CD4, CD8, CD19, natural killer (NK) cells, macrophages (MQ), and dendritic cell (DC) subsets from engrafted mice at day 30 and day 60 post-transplant in the spleen. * p < 0.05, *** p < 0.001, and **** p < 0.0001 (unpaired two-tailed Student’s t-test). The data represent two experiments involving 6-12 mice per group (Mean ± SEM).
Supplementary Figure 2 | Evaluation of non-T cells. (A) The gating strategy used to identify DCs, macrophages, CD19+ B cells, and NK cells using flow cytometry is shown. (B) Representative dot plots (top panel) depict CD19+ B cells at day 60 post-transplantation in splenocytes, and graphs (bottom panels) show frequencies and numbers of CD19+ B cells from engrafted and rejected mice at day 30 and day 60 post-transplant. These results represent one to two experiments involving 3 to 20 mice per group (Mean ± SEM).
Supplementary Figure 3 | Evaluation of Th subsets. (A) The gating strategy used to identify CD4+, CD8+, and CD4+ T helper subsets: Th2 (Gata3+), Th1 (T-bet+), and Th17 (Rorγt+) cells using flow cytometry is shown. The red histogram is derived from the isotype control, and the blue histogram is derived from engrafted mice. (B) Graphs indicate the percentage of CD4+ and CD8+ T cells from peripheral blood at day 30 and day 60 post-transplant. * p < 0.05 (unpaired two-tailed Student’s t-test). The data represent one to two experiments involving 3 to 20 mice per group (Mean ± SEM).
Supplementary Figure 4 | Characterization of immune regulatory cells. (A) The graphs show the frequencies of CD4+Foxp3+ Tregs and CD4+Foxp3- conventional T cells from the peripheral blood of engrafted and rejected mice at day 30 and day 60 post-transplant. (B) Representative dot plots portray Bregs (CD19+ CD1d+CD5+) at day 60 post-transplant, and the graphs below show the frequencies and numbers of Bregs from splenocytes of engrafted and rejected mice at day 30 and day 60 post-transplant. * p < 0.05, and **** p < 0.0001 (unpaired two-tailed Student’s t-test). Data represent one to two experiments involving 3 to 20 mice per group (Mean ± SEM).
Supplementary Figure 5 | Cytokine profile from CD8+ T cells and CD19+ B cells. (A, B) The graphs show the frequencies of CD8+ T cells and CD19+ B cell-producing IL-10, IFN-γ, TGF-β and TNF-α cytokines from engrafted and rejected mice spleens at day 30 (left panels) and day 60 (right panels) post-transplant. * p < 0.05, and ** p < 0.01 (unpaired two-tailed Student’s t-test). The data represent two experiments involving 4 to 20 mice per group (Mean ± SEM).
Supplementary Figure 6 | Characterization of Gal-1 expression on different Th cell subsets. (A) The graphs show Gal-1 plasma levels in mice treated with Sir alone, post-transplantation-Cy (200 mg/kg) alone, high-dose post-transplantation-Cy (200 mg/kg) with Sir, or low-dose post-transplantation-Cy (50 mg/kg) with Sir at day 30 and day 60 post-transplant (B, C) Representative dot plots (left panels) and graphs (right panels) show the expression of Gal-1+ cells, and frequencies and numbers of Gal-1+ cells among gated CD4+Rorγt+ Th17 and CD4+Tbet+ Th1 cells from engrafted and rejected mice at day 30 and day 60 post-transplant. (D–H) The frequencies and numbers of Gal-1+ cells among gated DCs, macrophages, B cells, Bregs, and NK cells from engrafted and rejected mice at day 30 and day 60 post-transplant. (I) The graphs show the frequencies of Gal-1+ cells among Tregs, Tr1, tTregs, and Th2 cells in mice treated with Sir alone, post-transplantation-Cy (200 mg/kg) alone, high-dose post-transplantation-Cy (200 mg/kg) with Sir, or low-dose post-transplantation-Cy (50 mg/kg) with Sir at day 30 and day 60 post-transplant. * p < 0.05, and *** p < 0.001 (unpaired two-tailed Student’s t-test). The data represent one to two experiments involving 3 to 20 mice per group (Mean ± SEM).
Supplementary Figure 7 | Evaluation of IL-10 in Tregs and determination of Gal-1 in effector T cells and their apoptosis. (A) The graphs show the mean fluorescent intensities (MFIs) of Gal-1+ cells within the gated CD4+ CD25+ Tregs from engrafted and rejected mice at day 30 and day 60 post-transplant. (B) The graph shows the frequencies of IL-10+ cells within CD4+Foxp3+ Tregs from splenocytes of engrafted and rejected mice at day 60 post-transplant. (C) The graphs show the frequencies and numbers of Gal-1+ cells within gated CD4+CD25- effector T cells from splenocytes of engrafted mice at day 30 and day 60 post-transplant. (D) Annexin-V+ and propidium iodide+ dot plots for CD8+ T cells, CD19+ B cells, CD11c+ DCs, and CD11b+ macrophages from splenocytes of engrafted and rejected mice at day 80 post-transplant are shown. Data were derived from 4 mice.
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Keywords: galectin-1, tolerance, haplo-HCT, Tregs, chimerism
Citation: Shaikh A, Gangaplara A, Kone A, Almengo K, Kabore MD, Ali MAE, Xu X, Saxena A, Lopez-Ocasio M, McCoy JP and Fitzhugh CD (2024) Galectin-1 is associated with hematopoietic cell engraftment in murine MHC-mismatched allotransplantation. Front. Immunol. 15:1411392. doi: 10.3389/fimmu.2024.1411392
Received: 02 April 2024; Accepted: 26 August 2024;
Published: 16 September 2024.
Edited by:
Nicolaus Kröger, University Medical Center Hamburg-Eppendorf, GermanyReviewed by:
Teresa Lopes Ramos, Luxembourg Institute of Health, LuxembourgElias Toubi, Technion Israel Institute of Technology, Israel
Copyright © 2024 Shaikh, Gangaplara, Kone, Almengo, Kabore, Ali, Xu, Saxena, Lopez-Ocasio, McCoy and Fitzhugh. 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: Courtney D. Fitzhugh, Y291cnRuZXkuZml0emh1Z2hAbmloLmdvdg==
†These authors have contributed equally to this work