Abstract
CD11c+ cells increase greatly with islet inflammation in non-obese diabetic mice and contribute to autoimmune destruction of pancreatic beta cells. In this study, we investigated their origin and mechanism of recruitment. CD11c+ cells in inflamed islets resembled classical dendritic cells (DC) based on their transcriptional profile. However, the majority of these cells were not from the Zbtb46-dependent DC lineage. Instead, monocyte precursors could give rise to CD11c+ cells in inflamed islets. Chemokines Ccl5 and Ccl8 were persistently elevated in inflamed islets and the influx of CD11c+ cells was partially dependent on their receptor Ccr5. Treatment with islet antigen-specific regulatory T cells (Tregs) led to a marked decrease of Ccl5 and Ccl8 and a reduction of monocyte recruitment. These results implicate a monocytic origin of CD11c+ cells in inflamed islets and suggest that therapeutic Tregs directly or indirectly regulate their influx by altering the chemotactic milieu in the islets.
Introduction
Most non-lymphoid tissue dendritic cells (DCs) can be divided into CD103+ and CD11b+ subsets. The CD103+ subset arises primarily from bone marrow pre-DC precursors whereas the CD11b+ subset can arise from either pre-DCs or monocytes (1, 2). The heterogeneity of non-lymphoid tissue CD11b+ DCs is reflected in their transcriptional profile and the distinct functions they serve in the tissue (3).
In normal islets, the predominant immune cells are CD11c+CD11b+ cells that originate from colony stimulating factor 1-dependent monocyte precursors (1, 4–6). CD11c+ cells in non-obese diabetic (NOD) mouse pancreas have distinct gene expression profile and their number greatly with inflammation in the islets (7, 8). Depletion of phagocytes or CD11c+ cells resolves islet inflammation and delays diabetes development (9, 10), demonstrating the importance of these cells in T1D pathogenesis. However, more recent studies suggest the existence of different subsets of myeloid cells in inflamed islets that serve distinct functions. For example, a subset of CRIg-expressing myeloid cells are reported to be protective against diabetes progression (11) and a rare subset of Batf3-dependent CD11b+CD103+ DC are essential for disease initiation in NOD mice (12). The origin and identity of the majority of CD11c+ cells in inflamed islets remains unknown however, and is the focus of this study.
Materials and Methods
Mice
NOD.Rag2−/−, NOD.CD28−/−, NOD.CD11c-YFP.CD28−/−, NOD.BDC2.5 Thy1.1 TCR transgenic, B6, B6.Zbtb-GFP, B6.Ccr2−/−, B6.Ccr5−/−, B6.Ccr7−/−, and B6.Cx3cr1-GFP mice were housed and bred under specific pathogen-free (SPF) conditions at the University of California, San Francisco Animal Barrier Facility. The Institutional Animal Care and Use Committee approved all experiments.
Flow cytometry of islet infiltrates
Islets were isolated and dissociated as previously described (13). Peritoneal cells were collected by lavage. Splenocytes were prepared with 250μg DNase I and 800 Mandl U/ml collagenase D (Roche). Cells were stained with antibodies to CD45 (30-F11), Ly5.1 (A20), Ly5.2 (104), B220 (RA3-3A1/6.1), CD11c (N418), CD11b (M1/70), CD103 (2E7), F4/80 (BM8), CD115 (AFS98), Sirpa (P84), DCIR2(33D1) and Ly6c (HK1.4). DAPI (Invitrogen) was used to exclude dead cells. Cells were analyzed and purified using a BD FACS Aria II or Fortessa.
qRT-PCR
mRNA from purified cells or whole islets was extracted using Arcturus Pico Kit (Life Technologies). Reverse transcription was done using iScript Advanced cDNA Synthesis Kit (Bio Rad). qPCR was performed using SYBR Green mastermix (Bio Rad) and primers from QIAGEN and Bio-Rad on a Bio-Rad CFX 96.
Chemokine protein measurements
Handpicked islets were cultured overnight at 37°C in RPMI with 10% FCS at a density of 2 μl/islet. Chemokines in the supernatants or cell lysate including the supernatant were measured using ELISA (CCL8 from Bosterbio and CCL7 from Thermo Fisher) or multiplex luminex (all other chemokines, Eve Technologies).
Monocyte trafficking
Monocytes were isolated from NOD.Rag2−/− bone marrow using EasySep Mouse Monocyte Isolation Kit (Stemcell). The cells were labelled with 5 μM CSFE and were retro-orbitally (r.o.) injected to recipient mice. In vivo monocyte labeling was achieved by r.o. injection of 1-μm fluorescent beads (Polysciences Inc) as previously described (14).
5-FU chimeras
Mice were injected i.p. with 150 mg/kg of 5-FU (Sigma) in sterile PBS a day before transfer of T cell depleted bone marrow.
Enumerating islet CD11c+ cells
Handpicked islets from NOD.CD11c-YFP mice were stained in 10 μM CMTMR and embedded in RPMI medium with 0.5% agarose (Invitrogen) on a coverslip. Images of islets were acquired on a custom-built 4-PMT-detector video-rate two-photon microscope using a water immersion 20x/0.95 NA objective with the aid of Micromanager Software. Data were analyzed using Imaris (Bitplane AG).
T cell transfers
FACS-purified CD4+CD62L+CD25+ Tregs and CD4+CD62L+CD25− effector T cells (Teff) from lymph nodes of NOD.BDC2.5.Thy1.1 TCR transgenic mice were expanded as previously described (15). BDC2.5 Treg treatments were administered via i.p. injection to NOD.CD28−/− mice (106 cells) at 5 to 7 weeks of age. 106 BDC2.5 Teff were i.p. injected to NOD.Rag2−/− mice to induce islet inflammation.
Statistical analysis
Statistical analyses were performed with the aid of Prism software (GraphPad).
Results and Discussion
CD11c+CD11b+ cells in inflamed islets have a cDC transcriptional signature
Autoimmune-mediated inflammation in the pancreatic islet leads to massive influx of CD11c+CD11b+ cells (13). A previous study found that a minor population of Batf3 dependent CD103+ DCs in the inflamed islets (12). However, the identity of the majority of the CD11c+ cells remains to be defined. We have examined islet CD11c+CD11b+ cells in NOD.CD28−/− mice that develop diabetes with higher penetrance and better synchrony than wildtype NOD mice due to a deficit in Tregs (16). Similarly to NOD mice (5), the majority of CD11c+ cells in inflamed islets of NOD.CD28−/− mice were a fairly uniform population of CD11b+F4/80−CD103−MHCII+Sirpa+, and dim for CD4 and DCIR2 (Fig. 1A and Supplemental Fig. 1). Thus, these cells do not resemble lymphoid tissue CD11c+CD11b+ cDC2 but more similar to monocyte-derived DCs (17).
Studies from the ImmGen consortium have revealed that in some nonlymphoid tissues, cells previously described as DCs are transcriptionally more closely related to macrophages than to DCs. By profiling expression levels of both cDC and macrophage signature genes in inflamed islet CD11c+ cells, we sought to more definitively determine the identity of these cells. We profiled the expression of cDC and macrophage signature genes defined by the ImmGen consortium (3, 18) in CD103+ and CD103− CD11c+ cells in inflamed islets. Both subsets expressed core cDC genes (Fig. 1B) and lacked the expression of macrophage signature genes except Fc receptor, IgG, high affinity I (Fcgr1) (Fig. 1C). We quantitatively analyzed the level of “cDC-ness” and “macrophage-ness” for each cell type by calculating the average relative expression for all DC signature genes and all macrophage signature genes, respectively. The CD11c+CD11b+ splenic DCs were given a cDC score of 1 and a macrophage score of 0; whereas the peritoneal macrophages were assigned a cDC score of 0 and a macrophage score of 1. CD11c+CD11b+ cells in inflamed islets showed a stronger alliance with cDCs than with macrophages, with the CD103+ subset demonstrating stronger ‘cDC-ness’ than the CD103− subset (Fig. 1D). Thus, at the transcriptional level, CD11c+CD11b+ cells in inflamed islets possessed a DC-like phenotype.
Monocytes, but not pre-DCs, contribute to CD11c+CD11b+ cells in inflamed islets
We next sought to determine the precursor of CD11c+ cells in inflamed islets. To this end, we developed a 5-FU bone marrow chimera approach, in which Ly5.1+ NOD.Rag2−/− mice were treated with 5-fluorouracil (5-FU) to ablate their bone marrow one day before receiving Ly5.2+ bone marrow cells as a source of DC precursors. The use of 5-FU instead of radiation preserves endogenous CD11c+ cells and architecture of lymphoid organs, thus minimally impacting peripheral immune status and diabetes onset (Supplemental Fig. 2A). One week after bone marrow reconstitution, some mice were injected with islet antigen-specific CD4+CD25− effector T cells (Teff) from BDC2.5 TCR transgenic mice to induce islet inflammation (Supplemental Fig. 2B). Ly5.2+ cells appear in the blood one week after bone marrow cell injection and can be found among CD11c+ MHCII+ cells in the islets at two weeks (Supplemental Fig. 2C). Transfer of BDC2.5 Teff resulted in a significant increase of Ly5.2+ cells in the islets, demonstrating that bone marrow could give rise to islet CD11c+ cells during inflammation (Supplemental Fig. 2D and E).
We then used this model to define the origin of CD11c+ cells in inflamed islets. Zbtb46 distinguishes cDCs from other mononuclear phagocytes, and the Zbtb46-GFP reporter mouse is a valuable tool for identifying cDCs. We reconstituted 5-FU treated Ly5.1+ NOD.Rag2−/− mice with bone marrow cells from Ly5.2+ Zbtb46-GFP reporter mice and found more than 80% of Ly5.2+ cells among islet CD11c+CD11b+ cells did not express GFP (Fig. 2A). In comparison, most of the Ly5.2+CD11c+ cells in the spleen and draining pancreatic lymph node were GFP+ (Fig. 2A). Although we have not transferred pre-DC to further validate our findings, these data suggest that the majority of CD11c+ cells in inflamed islets do not arise from pre-DC precursors despite their DC-like gene expression profile.
Steady-state islet CD11c+ cells have a monocytic origin (5). To determine whether CD11c+ cells in inflamed islets also have a monocytic origin, we transferred CFSE-labeled bone marrow CD115+ monocytes to NOD.Rag2−/− mice that had received BDC2.5 Teff cells. CFSE+ cells were readily detectable in inflamed islets 36 hours after monocyte transfer and the majority of these cells were CD11c+CD11b+CD103− (Fig. 2B and data not shown). These findings show that monocytes are recruited to inflamed islets and can give rise to islet CD11c+ cells.
Islet CD11c+ cell recruitment is partially dependent on Ccr5
Monocyte recruitment to inflamed tissues is mainly mediated through the chemokine receptor Ccr2, and roles for Ccr1 and Ccr5 have also been implicated (19). To determine chemokine ligand-receptor pair(s) involved in the recruitment of CD11c+ cells to inflamed islets, we surveyed expression of CC chemokines in inflamed islets of pre-diabetic NOD.CD28−/− mice and compared with those from non-inflamed islets in NOD.Rag2−/− mice. Although myeloid cells in NOD.Rag2−/− mice may have altered functions due to their development in the absence of the adaptive immune cells (20), islets from NOD.Rag2−/− have a similar transcriptional profile, including chemokine expression, to young NOD mice before the onset of inflammation (21).
Ccl5 and Ccl8 were elevated at multiple ages in NOD.CD28−/− islets when compared to NOD.Rag2−/− controls (Fig. 3A). In addition, Ccl5 and Ccl8 protein were upregulated in culture supernatants of NOD.CD28−/− islets when compared to NOD.Rag2−/− islets (Fig. 3B).
To determine the requirement of specific chemokine receptors for recruiting CD11c+ cells to inflamed islets, we injected 5-FU-treated NOD.Rag2−/− mice with a 50/50 mixture of wild-type and chemokine receptor-deficient bone marrow cells (Fig. 3C) and tracked their migration to inflamed islets after BDC2.5 Teff transfer. Chemokine receptors tested included Ccr2, Ccr5, Ccr7, and Cx3cr1, all of which have been previously implicated in monocyte and DC recruitment.
Ccr2 is preferentially expressed by Ly6chi monocytes and has been shown to mediate recruitment of monocyte-derived DC to inflamed colon and lung by binding to Ccl2 (19). However, we found that Ccr2−/− cells had no deficiency in entering inflamed islets (Fig. 3D). Similarly, Ccr7 was not required for in CD11c+ cell recruitment into inflamed islets. Cx3cr1 is expressed on Ly6Clo patrolling monocytes in the blood and CD11c+ cells in non-inflamed islets (5). In our experiments, Cx3cr1−/− cells were more efficiently recruited into the inflamed islets than wild-type cells (Fig. 3D).
Previous data on the role of Ccr5 in the pathogenesis of diabetes in NOD mice are mixed. Anti-Ccr5 antibody reduces insulitis and delays diabetes (22) whereas Ccr5-deficient NOD show accelerated diabetes (23). Ccr5 is the receptor for Ccl5 and Ccl8 (24), two chemokines persistently elevated in inflamed islets. In mice that received a mixture of wild-type and Ccr5−/− bone marrow, we found higher proportions of Ccr5−/− cells among blood Ly6clo monocytes but the same contribution of wild-type and Ccr5−/− cells to other blood leukocyte populations, suggesting a selective buildup of Ccr5−/− Ly6clo monocytes in the blood (data not shown). Despite this, wild-type cells preferentially gave rise to CD11c+ cells in the inflamed islets. Thus, Ccr5−/− cells were at a significant disadvantage to give rise to islet CD11c+ cells (Fig. 3D). It is noteworthy that some Ccr5−/− cells entered the inflamed islets, suggesting redundant mechanisms or partial compensation for this process. Ccr1 can also bind to Ccl5 and Ccl8 (25) and may explain the mixed results on the role of Ccr5 in previous reports and partial effects we observed in this study. Altogether, these data suggest a role for Ccr5, but not Ccr2, Ccr7, or Cx3cr1 in the recruitment of CD11c+ cells to inflamed islets. It is important to note that these bone marrow chimera experiments used B6 donors that lack the intrinsic NOD autoimmune predisposition and NOD pancreatic CD11c+ cells were reported to have lower expression of Ccr5 (7); thus, validation using donors on the NOD background is warranted.
Islet antigen-specific Tregs attenuate CD11c+ cell recruitment to inflamed islets
Adoptive transfer of BDC2.5 Tregs protects against diabetes development, both in NOD and NOD.CD28−/− mice (15, 26). We next determined the impact of Treg therapy on the accumulation of CD11c+ cells in inflamed islets. Treg treatment suppressed Ccl2, Ccl5, Ccl7, Ccl8, and Ccl9 mRNA expression in inflamed islets (Fig. 4A). Of these, Ccl5 showed the most dramatic reduction (84%), followed by Ccl8 (78%). When examined at the protein level, lysates from islets of Treg treated NOD.CD28−/− mice had less Ccl5 than those from islets of age-matched controls, while Ccl2 was unchanged (Fig. 4B). Moreover, Treg treatment let to a significant reduction in islet CD11c+ cell numbers when compared to untreated age-matched controls (Fig. 4C and D).
To determine if reduction of islet CD11c+ cells was due to decreased islet CD11c+ cell recruitment after Treg treatment, we utilized an in vivo monocyte labeling method to track the recruitment of monocyte precursors to the islets (14). Fluorescently labeled latex beads were injected directly into the bloodstream of Treg-treated or age-matched NOD.CD28−/− mice. The beads were taken up by blood monocytes (Fig. 4E), thus providing a means to track their trafficking into inflamed islets. In mice that received BDC2.5 Tregs 2 weeks prior to bead injection, significantly fewer bead+ CD11c+ cells were detected in islets (Fig. 4F). Together, these findings show that Treg treatment leads to a reduction in inflammatory chemokines, decreased recruitment of CD11c+ cells, and reduced CD11c+ cell accumulation in inflamed islets. Previously we have shown Treg therapy rapidly suppresses IFNγ production by intra-islet CD4+ and CD8+ T cells within days (27). By comparison, the effect of Tregs on CD11c+ cells was more gradual and took one to two weeks to manifest (data not shown). Inhibition of IFNγ production may be an upstream event that leads to down-regulation of inflammatory chemokines in the islets, as Ccl5 can be regulated by IFNγ (28).
In summary, this work demonstrates in a model of autoimmune diabetes that CD11c+ cells in inflamed islets were mostly derived from monocytes despite their DC-like phenotype. These cells were attracted to the inflamed islets in part via Ccr5, likely in response to elevated Ccl5 and Ccl8. Therapeutic Tregs decreased Ccl5 and Ccl8 expression and CD11c+ cell recruitment to the islets, pointing to the possible role of this process in propagating autoimmune pathology.
Supplementary Material
Acknowledgments
We thank R. Guerrero-Moreno, J. Wang, V Dang, N. Lescano for mouse husbandry.
This work is supported by grants from NIH, DK08231 (QT) and P30DK063720 (MG) and a UCSF PBBR grant.
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