Abstract
Despite advances in immunosuppression, antibody-mediated rejection is a serious threat to allograft survival. Alloreactive memory helper T cells can induce potent alloantibody responses and often associate with poor graft outcome. Nevertheless, the ability of memory T cells to elicit well characterized manifestations of antibody-mediated rejection has not been tested. We investigated helper functions of memory CD4 T cells in a mouse model of renal transplantation. Whereas the majority of unsensitized C57Bl/6 recipients spontaneously accepted fully MHC–mismatched A/J renal allografts, recipients containing donor–reactive memory CD4 T cells rapidly lost allograft function. Increased serum creatinine levels, high serum titers of donor-specific alloantibody, minimal T cell infiltration, and intense C4d deposition in the grafts of sensitized recipients fulfilled all diagnostic criteria for acute renal antibody–mediated rejection in humans. IFNγ neutralization did not prevent the renal allograft rejection induced by memory helper T cells, and CD8 T cell depletion at the time of transplantation or depletion of both CD4 and CD8 T cells also did not prevent the renal allograft rejection induced by memory helper T cells starting at day 4 after transplantation. However, B cell depletion inhibited alloantibody generation and significantly extended allograft survival, indicating that donor-specific alloantibodies (not T cells) were the critical effector mechanism of renal allograft rejection induced by memory CD4 T cells. Our studies provide direct evidence that recipient T cell sensitization may result in antibody-mediated rejection of renal allografts and introduce a physiologically relevant animal model with which to investigate mechanisms of antibody-mediated rejection and novel therapeutic approaches for its prevention and treatment.
Keywords: transplantation, immunology, lymphocytes
Acute antibody–mediated rejection (AMR) and chronic AMR are among the leading causes of renal allograft loss.1–4 Whereas routine alloantibody screening, paired kidney exchange programs, and aggressive desensitization protocols diminish the risk of preexisting donor–specific alloantibody (DSA), de novo DSA development is hard to predict and often results in worse transplant outcome compared with preexisting alloantibodies.5,6 However, the cellular and molecular mechanisms of de novo alloantibody generation remain poorly understood, limiting therapeutic options for the prevention and treatment of AMR.
Production of pathogenic DSA requires interactions between antibody–secreting B cells and helper CD4 T cells specific for the same set of donor antigens.7 Although primary helper T cell responses are efficiently controlled by current immunosuppressive regimens, human transplant recipients contain memory CD4 T cells that may be alloreactive as a result of previous alloantigen exposure or heterologous immunity. Because of their enhanced survival, activation, and trafficking properties, memory T cells can precipitate allograft rejection, despite immunosuppression or conventional costimulatory blockade.8,9 Multiple clinical studies have shown the correlation between the presence of memory T cells before transplantation and poor transplant outcome.10–12 However, the mechanistic links between preexisting helper memory T cells, de novo DSA generation, and AMR of renal allografts have not been previously investigated.
We have previously reported that, compared with newly generated effector T cells, donor–specific memory CD4 T cells provide help for pathogenic alloantibody production in a mouse model of cardiac allograft rejection.13–16 However, the rejection in this model occurs primarily through cellular mechanisms, thus impeding investigation of alloantibody induction and the role in tissue injury. Furthermore, the diagnostic criteria are best developed for AMR of kidney transplants. The goal of this study was to test the effect of memory helper T cells after renal transplantation.
Results
We used a mouse model in which recipients are transplanted with a single kidney allograft and the remaining native kidney is removed. In contrast to heterotopic heart transplantation, recipient survival depends on renal graft function, which can be monitored by serum creatinine levels like in clinical transplantation. Consistent with previously published data, the majority of B6 (H-2b) recipients spontaneously accept fully MHC–mismatched A/J (H-2a) kidney allografts for >60 days and develop low–level cellular and humoral immune responses against donor antigens.17 Recipients sensitized with A/J skin allografts 4–6 weeks before renal transplantation rapidly reject A/J kidney allografts (MST of 6 days versus >60 days in nonsensitized recipients). However, the contributions of cellular versus humoral alloimmunity to renal tissue injury are hard to discern in these settings, because skin allograft rejection generates memory CD4 and CD8 T cells, memory B cells, high–affinity DSA–secreting plasma cells, and circulating DSA.18
To specifically focus on the role of donor–reactive memory CD4 T cells in de novo DSA responses, we isolated CD4+ T cells from A/J skin–sensitized B6 recipients or naïve B6 mice and injected 5×106 CD4+CD44hi cells into naïve B6 mice followed by A/J renal transplantation; 60% of control recipients injected with nonsensitized (endogenous) memory CD4 T cells maintained renal allograft function for >50 days, with serum creatinine levels of 0.4±0.1 mg/dl (versus <0.4 mg/dl in nontransplanted mice). In contrast, all recipients with A/J–sensitized memory CD4 T cells had a rapid rise of serum creatinine >1 mg/dl (1.7±0.6 mg/dl by 6–8 days post-transplant) and had to be euthanized because of renal transplant failure with MST of 7 days (Figure 1A). At rejection, these recipients had high serum titers of A/J–reactive IgG DSA and increased frequencies of donor–reactive T cells producing IFNγ compared with the controls euthanized at matching time points (Figure 1, B and C). To test the potential role of IFNγ during allograft rejection, we treated recipients with sensitized memory CD4 T cells with mouse IFNγ neutralizing mAb throughout the duration of the experiment. The efficacy of IFNγ neutralization in vivo was confirmed by a significant decrease in the intragraft expression of IFNγ–dependent chemokine CXCL919 (Supplemental Figure 1A). As anticipated, anti–IFNγ mAb treatment did not affect the ability of donor spleen T cells to secrete IFNγ after in vitro restimulation (Figure 1C). Consistent with the well established role of IFNγ in antibody isotype switching,20,21 blocking IFNγ significantly decreased serum titers of IgG2b and IgG3 DSAs, whereas high levels of IgG2c and IgG1 DSAs were still produced (Figure 1B). Most importantly, IFNγ neutralization did not alter the kinetics of renal allograft rejection (MST of 6 days; serum creatinine of 1.9±0.8 mg/dl at the time of euthanasia) compared with those in control rat IgG–treated or –untreated recipients injected with donor–sensitized memory CD4 T cells (Figure 1A).
Although injection of sensitized memory CD4 T cells increased priming of donor–reactive T cells in the spleen compared with transfer of endogenous memory CD4 T cells, cellular infiltrates into rejecting allografts consisted mainly of macrophages with few CD3+ cells (Figure 2). Recipients containing either donor–sensitized or endogenous memory CD4 T cells had diffuse deposition of C4d in peritubular and glomerular capillaries. However, vascular changes commonly associated with antibody–mediated tissue injury, such as peritubular capillary dilation, endothelial cell swelling, and margination of monocytes,1,22,23 were significantly more prominent in renal allografts rejected by recipients containing sensitized donor–reactive memory CD4 T cells (Figure 3A). Staining for vWf revealed recruitment and aggregation of platelets within graft capillaries of rejecting but not control allografts (Figures 2 and 3B). Histologic findings in the grafts from anti–IFNγ mAb–treated recipients at the time of rejection were similar to those observed in rat IgG–treated or –untreated recipients (Supplemental Figure 1B). Thus, adoptive transfer of donor–reactive memory CD4 T cells caused kidney graft loss consistent with all diagnostic criteria for AMR3: (1) increased serum creatinine levels, (2) high serum DSA titers, (3) histologic evidence of acute tissue injury without prominent T cell infiltration, and (4) C4d deposition and evidence of vascular injury in the graft capillaries.
To investigate the potential role for CD8 effector T cells during allograft rejection, recipients containing memory CD4 T cells were injected with anti–CD8–depleting mAb before transplantation. CD8 T cell depletion significantly reduced the frequencies of donor–reactive T cells secreting IFNγ (Figure 4A) and slightly but significantly increased serum titers of donor-reactive IgG3 but did not alter IgG2c, IgG2b, and IgG1 DSA serum titers (Figure 4B) and graft rejection kinetics (Figure 4C) (MST of 7 days; serum creatinine levels at euthanasia of 1.3±0.2 mg/dl; n=6). Histologic appearance of rejecting allografts was similar to that observed in CD8 cell–sufficient B6 recipients injected with memory CD4 T cells, including an intense macrophage infiltrate, few CD3+ cells, diffuse C4D deposition, prominent capillary injury, and large quantities of aggregated platelets (Figure 4D).
To entirely rule out the role of effector T cells during renal allograft rejection in our model, recipients injected with memory CD4 T cells were treated with anti–CD8– and anti–CD4–depleting mAbs starting on day 4 after transplantation. We reasoned that this depletion regimen would allow transferred memory helper T cells to induce DSA. Indeed, six of nine recipients in this group rapidly developed high DSA titers and promptly rejected renal allografts (serum creatinine of 1.4±0.8 mg/dl) (Figure 4). However, 3 days before T cell depletion were not sufficient for donor–sensitized memory CD4 T cells to uniformly induce high DSA titers in all recipients. Two of three remaining recipients had intermediate DSA titers at day 14 post-transplant and rejected A/J renal allografts in a delayed fashion (serum creatinine >1 mg/dl at days 21 and 27 post-transplant), and one recipient had low DSA titers at day 14 and maintained serum creatinine of 0.4 mg/dl at 30 days post-transplant (Figure 4, B and C). Most importantly, all recipients in this group showed vast depletion of peripheral CD4 and CD8 T cells (Supplemental Figure 2A), extremely low levels of donor–specific T cell priming in the spleen compared with those in nondepleted recipients (Figure 4A), and minimal infiltration of CD3+ T cells within the graft at the time of rejection (Supplemental Figure 2B). Thus, in the absence of effector T cells, the magnitude of antidonor humoral responses inversely correlated with the renal allograft survival, further confirming the predominant role of DSA in the rejection process.
To test the role of B cells and antibody, we used B6 recipients expressing human CD20 under the B220 promoter (B6.huCD20). The injection of the anti–human CD20 mAb rituximab (Rtx) depleted >80% of circulating B cells and >70% of spleen B cells in these mice (Figure 5A), as previously published.24–26 Rtx treatment of hCD20tg recipients containing donor–reactive memory CD4 T cells efficiently inhibited DSA induction and markedly extended renal allograft survival (Figure 5, B and C). Notably, the numbers of donor–reactive IFNγ T cells at day 7 post-transplant were comparable between groups with or without Rtx treatment (Figure 5D), further indicating that DSAs and not T lymphocytes were the primary cause of early allograft rejection observed in control untreated recipients. The early T cell alloresponses gradually waned, because significantly lower numbers of donor–reactive IFNγ–producing spleen cells were detected in Rtx-treated recipients at day 30 than at day 7 post-transplant (Figure 5D). Surviving renal allografts analyzed at 30 days post-transplant had decreased mononuclear cell infiltration compared with acutely rejecting allografts. Consistent with decreased serum DSA titers, these recipients revealed moderate C4d deposition in graft capillaries and significantly reduced peritubular capillary injury and platelet aggregation (Figures 3 and 5E).
Discussion
To our knowledge, this is the first report of an AMR model in which pathogenic DSAs are generated by wild-type mice in the course of a physiologic immune response to a renal allograft. Most current information on AMR causes and mechanisms was gained in animal models using adoptive DSA transfer into immunodeficient recipients or genetically modified recipients with dysregulated immunity.27 Using complementary approaches, we have definitively shown that alloantibodies and not effector T cells are the primary cause of renal allograft failure in recipients containing donor–reactive memory helper T cells. Whereas targeting effector T cell responses had minimal effects on DSA production, allograft survival, and histology (Figures 1 and 4), B cell depletion decreased serum DSA titers and significantly prolonged allograft survival (Figure 5). We recently showed that Rtx treatment prolongs allograft survival in B6.huCD20.CCR5−/− recipients, which typically reject renal allografts with high serum DSA titers and marked C4d deposition in grafts.24 The results in our new mouse renal AMR model are in accord with this previous report. Furthermore, the use of recipients containing donor–reactive memory CD4 T cells provides a unique opportunity to approximate the clinical situation of de novo alloantibody development and investigate AMR mechanisms as well as therapies targeting B cells and antibody–mediated graft injury. Notably, the findings in this report are distinct from a role of memory helper T cells in murine cardiac allograft recipients, in which effector CD8 T cells mediate rejection before high–titer DSA generation.13,15 These results imply that the effector functions of donor–reactive T cells are determined by allograft type and that the results in heterotopic cardiac transplant models may not always translate directly to other solid–organ transplants.
As anticipated, de novo DSA generation in T cell–sensitized recipients corresponded with diffuse C4d deposition in the graft (Figure 2). However, control recipients with prolonged allograft survival had similar intensity of C4d staining, indicating that C4d deposition is not a conclusive marker of acute AMR. The correlation of serum DSA and AMR with C4d staining intensity and pattern is a matter of ongoing debate.28,29 Regardless of C4d deposition, we found that vascular changes commonly associated with antibody–mediated tissue injury, such as peritubular capillary dilation, endothelial cell swelling, and margination of monocytes,1,22,23 were significantly more prominent in renal allografts rejected by recipients containing sensitized but not endogenous memory CD4 T cells. In addition, our histologic findings raise the possibility that platelet accumulation and activation are critically determined by the kinetics and magnitude of DSA responses and implicate platelets as important mediators of graft tissue injury. Studies investigating the contribution of activated platelets and platelet-derived factors during acute AMR are currently ongoing in our group.
Previous studies of spontaneously accepted mouse renal allografts reported an important role for immune regulation.30,31 Consistent with these findings, control recipients containing endogenous memory CD4 T cells or those that received no T cell transfer had interstitial infiltrates of FoxP3+ T cells (data not shown). In contrast, allografts from T cell–sensitized recipients had minimal numbers of FoxP3+ cells, raising a possibility that pathogenic alloantibodies impede the migration and/or persistence of Tregs in the graft. These effects of DSA may not even be limited to Tregs, because very few graft–infiltrating T cells were detected in sensitized recipients, despite efficient T cell activation in the spleen.
Our results strongly suggest a mechanistic link between two of the most important problems in clinical transplantation: preexisting donor–reactive memory T cells and AMR. Although the recipient DSA sensitization status is usually known, there is no routine screening for donor–specific memory T cells before transplantation. Studies of the past two decades convincingly show that many PRA-negative individuals have alloreactive memory T cells.10–12 For the first time, we provide evidence that donor–reactive memory helper T cells can be potent inducers of de novo pathogenic DSAs and acute AMR in renal allograft recipients. Our novel physiologically relevant animal model of renal AMR will allow us to further investigate mechanisms underlying antibody–mediated graft tissue injury.
Concise Methods
Animals
Male C57BL/6J (B6, H-2b), A/J (H-2a), and SJL/J-Pde6brd1 (SJL, H-2s) mice ages 6–8 weeks old were purchased from The Jackson Laboratory (Bar Harbor, ME). Human CD20 transgenic mice (H-2b [B6.hCD20]) were provided by Genentech (South San Francisco, CA). All animal procedures were approved by the Institutional Animal Care and Use Committee at the Cleveland Clinic.
Kidney Transplantation and Graft Evaluation
Murine kidney transplantation was performed as previously described.32 Briefly, the kidney with vascular supply and ureter were harvested en bloc, and the donor artery and vein were anastomosed to the recipient abdominal aorta and inferior vena cava. Urinary reconstruction was performed as described in the work by Han et al.33 The remaining native kidney was removed at the time of transplant, so that recipient survival was dependent on the kidney graft. Kidney graft survival was assessed by daily examination of overall animal health and measurement of serum creatinine levels using the VetScan i-STAT1 Analyzer (Abaxis, Union City, CA). Graft rejection was diagnosed when the mouse showed signs of illness and serum creatinine level was elevated to 0.8 mg/dl (<0.4 mg/dl in nontransplanted mice), at which time the recipient was euthanized. Grafts were harvested at the time of rejection, embedded in paraffin, and stained with hematoxylin and eosin and the following antibodies: rat anti–mouse Mac-2 (Cedarlane Laboratories, Burlington, NC), polyclonal rabbit anti–mouse CD3 (Abcam, Inc., Cambridge, MA), anti-mouse C4d,34 and rabbit polyclonal anti–human vWf (DAKO, Carpinteria, CA). Immunohistology for C4d and vWf was scored in a blinded fashion. Each stain was evaluated on two to three complete cross-sections. AMR was assessed on evidence of vascular injury. Each graft was scored on a scale of one to three as illustrated in Supplemental Figure 3 using clinically relevant criteria that included peritubular capillary dilation with endothelial cell swelling and margination of monocytes.1,22,23 Platelet aggregation was scored on a scale of one to three as illustrated in Supplemental Figure 4.
Recipient Treatment
Recipient CD8 T cells were depleted using a cocktail of monoclonal anti–mouse CD8 antibodies (clones YTS169 and TIB105; Bio X Cell), with 0.2 mg each antibody injected intraperitoneally on days −3, −2, and −1 before transplantation and then, every 5 days throughout the duration of the experiment. The efficiency of CD8 T cell depletion (>98% compared with that in untreated mice) was confirmed by flow cytometry at the time of euthanasia. For delayed combined CD4 and CD8 T cell depletion, recipients were treated with anti–CD8 mAbs YTS169 and TIB105 on days 4–6 post-transplant and anti-CD4 mAb (clones GK1.5 and YTS191; 0.2 mg each intraperitoneally; Bio X Cell) on days 5–7 post-transplant. The efficacy of CD4 and CD8 T cell depletion was determined by flow cytometry of spleen cells at the time of euthanasia. For B cell depletion, B6.huCD20 mice were injected intraperitoneally with 0.5 mg anti–human CD20 mAb (Rtx; Biogen Idec Inc. and Genentech) on days 0 and 1 and then, every 5 days throughout the experiment. To neutralize IFNγ, recipients were treated with anti–mouse IFNγ mAb XMG1.2 (0.5 mg intraperitoneally; Bio X Cell) on days 0, 2, 4, 6, and 8 post-transplant.
Generation of Alloreactive Memory CD4 T Cells
To generate polyclonal alloreactive memory CD4 T cells, A/J skin allografts were placed onto B6 recipients. Six weeks after rejection, recipient spleen CD4+ cells were isolated using the EasySep Mouse CD4+ T Cell Isolation Kit (STEMCELL Technologies, Vancouver, BC, Canada). As a control, CD4+ T cells were isolated from naïve B6 mice. Regardless of donor sensitization status, 10%–15% of isolated CD4+ T cells were CD44hi. The equivalent of 5×106 sensitized or endogenous CD4+CD44hi cells was intravenously injected into naïve B6 mice. Adoptive cell transfers were performed 2 days before renal allograft transplantation.
Measurement of Serum Alloantibody Titers
Donor– and third party–reactive IgG1, IgG2c, IgG2b, and IgG3 antibody titers in recipient serum were determined by a flow cytometry–based assay as previously published.18 Donor A/J and third party SJL thymocytes were isolated, and 1×106 cell aliquots were incubated with 100 μl serially diluted recipient serum. FITC–conjugated goat anti–mouse IgG, phycoerythrin–conjugated anti–mouse IgG1, FITC–conjugated anti–mouse IgG2a (with reactivity to IgG2c), FITC–conjugated anti–mouse IgG3, and biotinylated anti–mouse IgG2b followed by phycoerythrin–streptavidin conjugate were used as detecting antibodies at 1:50–1:100 dilutions (BD Pharmingen). Cells were washed, fixed in 1% paraformaldehyde, and analyzed by flow cytometry. For every sample and every IgG isotype, the mean fluorescence intensity of each dilution was determined. The dilution that returned the mean fluorescence intensity to the level observed when thymocytes were stained with a 1:90 dilution of naïve B6 serum was divided by two and reported as the titer. The titers of third party SJL–reactive alloantibody were <135 for all IgG isotypes in all tested samples.
ELISPOT Assay
Assays were performed as previously described using capture and detecting anti–mouse IFNγ antibody from BD Pharmingen.13,15,16 Recipient spleen cells were stimulated with mitomycin C–treated donor A/J or third party SJL spleen cells for 24 hours. The resulting spots were analyzed using an ImmunoSpot Series 4 Analyzer (Cellular Technology, Cleveland, OH).
RNA Isolation and Quantitative Real–Time PCR Analyses
Portions of kidney allografts were frozen in liquid nitrogen and stored at −80°C. Total RNA was isolated from individual samples using TriZol Reagent (Invitrogen, Carlsbad, CA). Reverse transcription was performed using the High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Foster City, CA), and quantitative real–time PCR was done on a 7500 Fast Real-Time PCR System instrument using Taqman Fast Universal PCR Master Mix (2×; Applied Biosystems) and No AmpEraseUNG (Applied Biosystems). Probes and primers were from Taqman gene expression assay reagents (Applied Biosystems): CXCL9 (Mm00434946_m1) and β-actin (Mm02619580_g1). Data were normalized to Mrpl32 (Mm00777741-sH) RNA amplification and calculated relative to the expression of the target gene in kidneys harvested from naïve B6 mice.
Flow Cytometry
Fluorochrome-conjugated antibodies were purchased from BD Biosciences (San Jose, CA) or eBioscience (San Diego, CA). Cells were isolated from peripheral blood and spleen and stained as previously described35; ≥200,000 events per sample were acquired on a BD Biosciences LSRII followed by data analysis using FlowJo software (TreeStar, Inc., Ashland, OR).
Statistical Analyses
Renal allograft survival was compared between groups by Kaplan–Meier analysis. Differences between groups during recall immune responses were analyzed using a nonparametric equivalent of one-way ANOVA: the Kruskal–Wallis test. When the overall P value was <0.05, pairwise comparisons were carried out using the Mann–Whitney test. A value of P<0.05 was considered statistically significant.
Disclosures
None.
Supplementary Material
Acknowledgments
We thank Ms. Nina Dvorina for expert technical assistance in this study.
This work was supported by grant 1P01 AI087586 from NIAID (to R.F., W.M.B., and A.V.).
Footnotes
Published online ahead of print. Publication date available at www.jasn.org.
See related editorial, “Bad Memory: CD4 T Cell Presensitization Fosters Antibody-Mediated Kidney Transplant Rejection,” on pages 3231–3233.
This article contains supplemental material online at http://jasn.asnjournals.org/lookup/suppl/doi:10.1681/ASN.2015080848/-/DCSupplemental.
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