Summary
Three subsets of invariant natural killer T (iNKT) cells have been identified, NKT1, NKT2 and NKT17, which produce distinct cytokines when stimulated, but little is known about their localization. Here, we have defined the anatomic localization and systemic distribution of these subsets and measured their cytokine production. Thymic NKT2 cells that produced interleukin-4 (IL-4) at steady state were located in the medulla and conditioned medullary thymocytes. NKT2 cells were abundant in the mesenteric lymph node (LN) of BALB/c mice and produced IL-4 in the T cell zone that conditioned other lymphocytes. Intravenous injection of α-galactosylceramide activated NKT1 cells with vascular access, but not LN or thymic NKT cells, resulting in systemic interferon-γ and IL-4 production, while oral α-galactosylceramide activated NKT2 cells in the mesenteric LN, resulting in local IL-4 release. These finding indicate that the localization of iNKT cells governs their cytokine response both at steady state and upon activation.
Introduction
Invariant natural killer T (iNKT) cells are a specialized subset of T cells that recognize CD1d molecules presenting lipid antigens (Bendelac et al., 2007). When stimulated with the agonistic lipid α-galactosylceramide (αGalCer), they rapidly secrete high amounts of several cytokines, and there is growing interest in exploiting αGalCer as an immunological adjuvant (Carreno et al., 2014; Singh et al., 2014; Venkataswamy et al., 2014). iNKT cells also secrete cytokines at steady state and early after infection to influence the development and activation of surrounding immune cells (Engel and Kronenberg, 2014; Lee et al., 2013). Despite being essentially monospecific, iNKT cells nonetheless display substantial functional heterogeneity, with subsets producing different cytokines having distinct tissue localization preferences (Coquet et al., 2008; Doisne et al., 2009; Doisne et al., 2011; Michel et al., 2007; Terashima et al., 2008; Watarai et al., 2012). Recently, we showed that the three major functionally distinct subsets of iNKT cells that exist in mice (NKT1, NKT2 and NKT17 cells) express distinct transcription factor profiles: T-bet, GATA-3 or RORγt (with distinct levels of promyelocytic leukemia zinc finger (PLZF)) and that this generally correlates with their cytokine response upon activation (interferon-γ (IFN-γ), interleukin-4 (IL-4), or IL-17, respectively) (Lee et al., 2013). However, little is known about where these subsets of iNKT cells are localized during steady state and upon activation with aGalCer, and identifying these cells by current methods can be challenging.
iNKT cells can be recognized by staining with CD1d tetramers and by intracellular staining for the lineage specific transcription factor promyelocytic leukaemia zinc finger (PLZF) (Kovalovsky et al., 2008; Savage et al., 2008). These two markers, however, are not readily applicable to immunofluorescence imaging, as CD1d tetramer binding requires live cells for optimal sensitivity and PLZF is also expressed in subsets of γδ T cells, myeloid cells, and stem cells. For these reasons, conventional methods using fresh frozen or paraformaldehyde-fixed tissues to stain for iNKT cells raises issues of sensitivity and specificity. Several reports have tried to visualize iNKT cells using immunofluorescence. Bendelac and colleagues used CD1d tetramers to directly stain frozen tissue sections of Vα14 transgenic (Vα14Tg) mice and showed that iNKT cells are mainly localized in the extravascular area or T cell zone of spleen and lymph node (LN) (Thomas et al., 2011). This technique, however, was not sensitive enough to detect endogenous iNKT cells in wild-type (WT) mice and may have preferentially visualized NKT2 cells expressing high numbers of surface T cell receptors (TCRs), which are abundant in Vα14Tg mice. Batista and colleagues used TCRβ and NK1.1 instead of CD1d tetramers to detect splenic iNKT cells and showed that most are in the marginal zone or red pulp of the spleen (Barral et al., 2012). However, splenic TCRβ+NK1.1+ T cells represent only NKT1 cells, and not NKT2 or NKT17 cells, and some conventional memory T cells also express NK1.1. In other studies, Vα14Tg mice were used as a source of donor cells and congenic markers were used after adoptive transfer for immunofluorescence or intravital imaging (Barral et al., 2010; Chang et al., 2012). However, adoptive transfer may not recapitulate the natural distribution of iNKT populations and in some of these experiments, iNKT cells were isolated using TCRβ and CD1d tetramer binding, which could impact the activation state of the donor cells. Most recently, Leadbetter and colleagues made thick tissue sections using a vibrating microtome and directly stained sections using CD1d tetramer, which showed that iNKT cells are dispersed throughout the splenic parenchyma (King et al., 2013). This study successfully visualized endogenous iNKT cells using CD1d tetramer, but did not separate subsets or validate the sensitivity of staining method. Previous studies have not directly visualized thymic iNKT cells, and studies that addressed the localization of iNKT cells in spleen or LN did not provide data on distribution of iNKT subsets.
Here we report an ex vivo technique to visualize endogenous iNKT cells in thymus, spleen and LN using CD1d tetramers and various transcription factors. We employed a histocytometric algorithm to analyze the data and validate sensitivity. We found that iNKT subsets are not symmetrically distributed throughout tissues: thymic NKT2 cells were mainly located in the medullary area, splenic NKT1 cells preferentially resided in red pulp, whereas splenic NKT2 cells were abundant in the T cell zone. We also found that each subset had unique peripheral distribution, with some inter-strain variation. Notably, the mesenteric LNs (mLNs) of BALB/c mice were substantially enriched for NKT2 cells.
We show that the distribution of iNKT subsets affected the cytokine milieu in lymphoid tissues. At steady state, NKT2 cells in the thymic medulla and T cell zone of the mLN conditioned lymphocytes to express pSTAT6, consistent with production of IL-4 by the NKT2 subset. Intravenous (IV) injection of αGalCer rapidly activated NKT1 cells in the splenic red pulp and liver, which induced systemic IFN-γ and IL-4 responses, but not iNKT cells in LN, thymus, or other tissues. On the other hand, oral administration of αGalCer activated NKT2 cells in mLN, which induced a local IL-4 response. As most iNKT cells do not circulate (Lynch et al., 2015; Thomas et al., 2011), these results show how the steady state localization of iNKT cells determines their systemic or local cytokine responses at steady state and upon activation, providing conceptual challenges to the design of therapeutic protocols in humans.
Results
iNKT cell subsets can be localized with CD1d tetramer immunofluorescence and histocytometry
We developed a CD1d tetramer immunofluorescence technique as illustrated in Supplementary Figure 1A and described in experimental procedures. We used reporter mice for the transcription factor T-bet (Tbx21gfp) or stained for intracellular RORγt together with CD1d tetramers to identify NKT1 and NKT17 cells respectively. RORγt was also highly expressed on cortical DP thymocytes, which demarcated the cortex (He et al., 1998) (Figure 1A). In this staining, NKT2 cells were defined as positive for CD1d tetramer but negative for both Tbx21gfp and RORγt and, in a separate staining, we confirmed these cells were all positive for PLZF (data not shown). We used Cd1d−/− mice as a specificity control, in which we detected minimal background staining (Figure 1B, lower panel). To address whether this method detects all iNKT subsets efficiently, we employed a previously described histocytometric algorithm, by which quantitative data from immunofluorescence images are converted into two-dimensional dot plots (Gerner et al., 2012) (Supplementary Figure 1B). Figure 1B shows a side-by-side comparison of the thymic phenotype of iNKT cells by flow cytometry and histocytometry, which separately evaluated each thymic lobe from a single mouse. When we compared the frequency of total iNKT cells (Figure 1C) and the fraction in each subset (Supplementary Figure 1C) between flow cytometry and histocytometry, no significant differences were observed. These results demonstrate the utility of this method to visualize distinct subsets of iNKT cells, with a sensitivity and specificity comparable to flow cytometry.
Medullary distribution of NKT2 cells determines localized pSTAT6 expression
Using the histocytometric algorithm, we tracked the localization of iNKT subsets and quantified them throughout the thymic cortex and medulla (Figure 2A). We found medullary frequencies of iNKT cells averaged 2.7% in C57BL/6 (B6) mice and 5.6% in BALB/c mice, whereas in the cortex, they were 0.27% and 0.32% respectively (Supplementary Figure 2D). Although the medullary frequency of iNKT cells was about 10 times higher than that of cortex, the thymic cortex occupies, on average, approximately 80% of the cut section (Irla et al., 2013b) and its cellularity is 1.7 fold higher than that of the medulla (data not shown). Correcting for this, we estimate that on average 30% of all iNKT cells were in the thymic cortex regardless of subset or mouse strain (Figure 2B), in contrast to most mature cell populations that primarily reside in the medulla. To directly compare this localization pattern to that of another mature cell lineage in thymus we analyzed the localization of thymic regulatory T (Treg) cells using Foxp3gfp mice (Supplementary Figure 2A). We found that only 1.5% of Treg cells resided in the thymic cortex as shown previously (Fontenot et al., 2005) (Figure 2B). This difference suggests that the cortical localization of iNKT cells is not due to a passive overflow of medullary lymphocytes, but is actively regulated process.
To track the localization of IL-4 producing cells among total NKT2 cells, we immunostained human CD2 (huCD2) in Tbx21gfp mice crossed to KN2+/− mice that express huCD2 on the surface of cells secreting IL-4 (Supplementary Figure 2B and 2C). We observed that the majority of huCD2+ NKT2 cells in both B6 and BALB/c mice were localized in the medulla. However, in BALB/c mice, IL-4 producing NKT2 cells represented 2.3% of medullary thymocytes (Figure 2B, right panel), which was 7.4-fold higher than in B6 mice. This may explain why NKT2 cells condition CD8 single positive (SP) thymocytes to express Eomesodermin (Eomes) in BALB/c but not B6 mice (Lee et al., 2013). We performed flow cytometry with antibodies to the phosphorylated form of the transcription factor STAT6 (pSTAT6) to see the range of influence that IL-4 had on thymocytes (Figure 2C and 2D). pSTAT6 was expressed in medullary SP thymocytes in BALB/c mice, and this was associated with Eomes upregulation. Cortical DP thymocytes were competent for pSTAT6 expression upon in vitro IL-4 stimulation, but negative for pSTAT6 in vivo at steady state indicating that IL-4 exerts its effects primarily on medullary thymocytes due to the selective localization of NKT2 cells to the medulla.
iNKT subsets have unique peripheral distribution, with some interstrain variation
We further identified the tissue distribution of iNKT subsets in three different inbred strains of mice using flow cytometry (Figure 3A). We analyzed the frequency of iNKT cells among total CD45+ cells or frequencies of each subset among total iNKT cells. An intravenous (IV) labeling method was used to quantify iNKT cells residing within lung parenchyma (IV−) or inside the blood vasculature (IV+) (Supplementary Figure 3). The liver contained the highest frequency of iNKT cells in all three strains, followed by the lung (IV−), spleen and thymus. iNKT cells were generally less abundant in LN and intestinal tissues. Subset analysis revealed that NKT1 cells were particularly enriched in liver and NKT17 cells in lung (IV−) and LNs (Figure 3B and Supplementary Figure 3), consistent with previous publications (Michel et al., 2007; Webster et al., 2014). mLNs were notably distinct, showing a high frequency of iNKT cells in BALB/c mice and relative abundance of NKT2 cells in all strains (Figure 3A and 3B). Among total CD45+ lymphocytes, NKT1 cells were overrepresented in the liver, NKT17 cells in the lung (IV−) and NKT2 cells in BALB/c mLN (Figure 3C). Collectively these results show that iNKT subsets are uniquely distributed in peripheral lymphoid and non-lymphoid organs with some inter-strain variation, especially in the mLN.
NKT2 cells in BALB/c mLN produce IL-4 and condition lymphocytes at steady state
As mLNs were unique in their iNKT subset distribution, we further analyzed their properties. We previously showed that the transcription factor Nur77 is a marker of antigen receptor signaling and that in Nur77gfp reporter mice, GFP is upregulated in iNKT cells after synthetic lipid challenge (Lee et al., 2013; Moran et al., 2011). Interestingly, NKT2 cells in the mLNs showed higher GFP expression in BALB/c Nur77gfp mice (Supplementary Figure 4A), and BALB/c mice contained a 10-fold higher frequency of NKT2 cells than B6 or NOD mice (Figure 4A and 4B). To observe the distribution of iNKT cells within the LN, CD1d tetramer histocytometry was performed. We discriminated the B cell area (or follicle), T cell area (or paracortex), and medulla. In both inguinal and mesenteric LNs, BALB/c iNKT cells were more enriched in the T cell zone compared to B6 (Figure 4C and D and Supplementary Figure 4B and 4C). Consistent with a previous report (Gray et al., 2012), we found that some NKT17 cells are located in the subcapsular area (Supplementary Figure 4B). In the mLN, BALB/c NKT2 cells were particularly enriched in the T cell zone, (Figure 4C and 4D) and analysis of KN2 mice showed an 8-fold higher frequency of IL-4 producing iNKT cells in BALB/c mice compared to those of B6 mice (Figure 4E). Consistent with this, a proportion of T cells in the mLN of BALB/c mice constitutively expressed pSTAT6 (Figure 4F and 4G), unlike T cells in spleen, inguinal LN (iLN) or liver (Supplementary Figure 4D and 4E). pSTAT6 expression in B cells was not different between B6 and BALB/c mice (data not shown), consistent with our observations that BALB/c NKT2 cells were preferentially localized in the T cell zone. This result suggests that in the mLN, like in the thymus, NKT2 cells produce IL-4 to influence neighboring T cells, as evidenced by pSTAT6 expression at steady state.
Splenic NKT1 cells are mainly localized in red pulp, while NKT2 cells are in T cell zone
In spleen, we performed CD1d tetramer immunofluorescence with various anatomical markers in serially sectioned tissues. As shown in Figure 5A, section 2 was stained with CD1d tetramer and sections 1 and 3 were stained with TCRβ, B220, type IV collagen, CD169 and CD209b. These markers aid in defining T and B cell zones, the marginal zone (CD169 and CD209b), and splenic red pulp (type IV collagen). We differentiated NKT1 and NKT2 cells using Tbx21gfp reporter mice and co-staining for PLZF (Figure 5B). We found that NKT1 cells localized preferentially in the red pulp, whereas NKT2 cells were in the T cell zone of the white pulp (Figure 5C). We also performed IV antibody labeling of lymphocytes, which defines cells in blood, splenic red pulp, and marginal zone (Anderson et al., 2014). Consistent with the imaging analysis, we observed that NKT1 cells were more frequently IV+ than NKT2 cells (Figure 5D). There was some inter-strain variation, in that a higher frequency of B6 NKT1 cells were IV+ or defined as “vascular associated” compared to BALB/c mice, which was not seen in B cells or CD4 T cells (Supplementary Figure 5). Collectively, these results show NKT1 and NKT2 cells have distinct anatomic localization within spleen.
Vascular localized NKT1 cells respond rapidly to αGalCer challenge
Next, we asked how these differences in tissue and anatomic localization of iNKT subsets influence activation upon αGalCer challenge. Since the subsets produce distinct cytokines (NKT17 produce IL-17, NKT2 produce IL-4, and NKT1 produce IFNγ and some IL-4 depending on stimulation conditions), and CD69 expression is non-specifically upregulated on many lymphocyte populations after αGalCer, we chose to measure the activation of iNKT cells using the Nur77gfp reporter mouse, in which GFP expression is rapidly and highly upregulated on iNKT cells when stimulated via TCR engagement (Supplementary Figure 6A) (Holzapfel et al., 2014a; Moran et al., 2011). When we compared GFP expression in various organs 3 hours after IV αGalCer injection, iNKT cells in thymus had not upregulated GFP, as described in previous report (Pellicci et al., 2003). Surprisingly, iNKT cells in the LN did not respond at all, whereas most of hepatic iNKT cells and a majority of splenic iNKT cells responded (Figure 6A). LN iNKT cells did not show any GFP upregulation at time points up to 6 hours after injection (data not shown) suggesting that they did not become activated through the TCR after lipid injection. In the spleen, a higher percentage of NKT1 cells expressed Nur77gfp after αGalCer challenge than NKT2 cells (Figure 6B). This difference did not reflect a cell intrinsic feature, as NKT2 cells efficiently upregulated Nur77gfp expression after ex vivo activation (Supplementary Figure 6B). Interestingly, the percent of iNKT cells activated in each tissue was roughly correlated to the frequency of cells labeled by IV antibody staining in that tissues (Figure 6C) and thus we hypothesized that only vascular associated iNKT cells responded immediately after IV αGalCer challenge. To test this hypothesis, we compared the endogenous response of iNKT cells in red pulp (IV+) or white pulp (IV−) and found that both NKT1 and NKT2 cells in the red pulp responded quickly after αGalCer injection, whereas cells in white pulp showed delayed activation (Figure 6D and Supplementary Figure 6C). Furthermore, we adoptively transferred enriched iNKT cells into αGalCer preinjected mice as outlined in Figure 6E and harvested the spleens of host mice after 3 hours. We performed CD1d tetramer based magnetic bead enrichment to detect rare donor cells (Supplementary Figure 6D) and found that both LN iNKT cells and splenic NKT2 cells responded well when they were localized in the splenic red pulp, confirming that localization rather than a type of cells, determines the response to IV injected lipid (Figure 6F). As serum concentrations of IL-4 after αGalCer injection peaked at 1.5 hours (Sullivan et al., 2010b), these results suggest that iNKT cells in the white pulp are not major contributors to the serum cytokine response.
mLN NKT2 cells respond to oral administration of αGalCer
Various routes of αGalCer delivery have been shown to differentially affect immune responses (Furlan et al., 2003; Miyamoto et al., 2001). As IV injection of αGalCer did not activate LN resident iNKT cells, we tested whether they could be activated by oral gavage of αGalCer. In contrast to IV injection, oral administration of αGalCer specifically upregulated Nur77gfp in mLN NKT cells and to a much lesser extent iNKT cells in liver, but not in the spleen or thymus (Figure 7A and 7B). When we compared iNKT subsets, only NKT2 cells upregulated Nur77gfp (Figure 7C and 7D) and, consistent with this finding, IL-4 was produced from these NKT2 cells (Supplementary Figure 7A). NKT1 cells did not produce IFN-γ or IL-4 upon oral administration of αGalCer, although they produce both after IV injection (Supplementary Figure 7A). IV injection of αGalCer rapidly activated iNKT cells in spleen and liver, and serum increases of both IFN-γ and IL-4 could be detected as previously described (Supplementary Figure 7B) (Sullivan et al., 2010a). The systemic release of IL-4 had effects at distant sites, as evidenced by the observation that T cells in LNs upregulated pSTAT6 (Figure 7E and 7F) even though LN NKT cells were not activated by IV injection of αGalCer (Figure 6A). However, after oral gavage, there was no serum surge of IL-4 (Supplementary Figure 7B) and pSTAT6 upregulation was detected only in mLN and somewhat in liver, but not in spleen or iLN (Figure 7E and 7F). These results indicate that oral gavage of lipid antigens can be used to modulate the regional cytokine milieu in mLN without systemic effects.
Discussion
In this report, we provided an in-depth analysis of the tissue distribution and anatomic localization of iNKT cells. For detailed analysis, we developed a CD1d tetramer-based histocytometry approach, which provided an unbiased tool for analysis of immunofluorescence data. As a result, we showed that IL-4 producing NKT2 cells are enriched in the thymic medulla and the T cell zone of mLNs. In both of these locations, they appear to condition neighboring thymocytes and lymphocytes, as evidenced by the expression of pSTAT6 at steady state. We also showed that different routes of antigen delivery could activate iNKT cells in different anatomic locations. IV injection of αGalCer activated NKT1 cells in spleen and liver with systemic IFN-γ and IL-4 release, whereas oral gavage of αGalCer stimulated NKT2 cells in mLN with only local IL-4 effects only. Collectively these results show that subset localization of iNKT cells is crucial to determine which cytokines are produced and whether a systemic or regional cytokine response ensues.
In the thymus, T-bet, GATA-3 and RORγt regulate lineage differentiation of iNKT cells from a common progenitor (Constantinides and Bendelac, 2013; Lee et al., 2013). Previously, we showed that NKT2 cells secrete IL-4 at steady state in BALB/c mice, which conditioned SP thymocytes to express Eomes, stimulated thymic dendritic cell to secrete CCL17 and CCL22 and caused B cells to produce immunoglobulin E (Lee et al., 2013). In this paper, we showed that NKT2 cells, and in particular IL-4-producing NKT2 cells, mainly reside in the thymic medulla and their IL-4 effect was confined to medullary thymocytes. The medulla is a crucial environment for the development of iNKT cells, as their numbers were sharply reduced in relb−/− thymi, which lack medullary epithelial cells (White et al., 2014). As NK1.1+ iNKT cells were most strongly affected, we infer that NKT1 cells in particular depend on medullary epithelial cells for their development, which is to be expected since such cells produce IL-15, a factor previously shown to be required for T-bet upregulation in iNKT cells (Castillo et al., 2010; Gordy et al., 2011; White et al., 2014). Interestingly, iNKT cells also promote the maturation of medullary epithelial cells, through production of RANKL (White et al., 2014). Since NK1.1+ cells (NKT1) do not produce RANKL, it is possible that NKT2 or NKT17 cells provide this function. Our data would suggest that both NKT2 and NKT17 cells are localized in the appropriate environment for this.
Regardless of subset or strain, an estimated 30% of NKT cells were localized in the thymic cortex, in contrast to Treg cells, of which only 1.5% were localized in the cortex. As genetic evidence has shown that iNKT cells are positively selected from cortical DP thymocytes expressing RORγt (Egawa et al., 2005), two possibilities can explain these observations: iNKT cells might differentiate in the cortex then migrate into the medulla, or they might first migrate into the medulla, differentiate into various subsets and a fraction of them may move back to the cortex. In the former scenario, younger mice would have a higher frequency and older mice would have a lower frequency of cortical iNKT cells. However, this was not the case when we analyzed cortical localization of iNKT cells from 3 or 15 weeks old mice (data not shown). The latter scenario seems more likely, considering that the medulla is required for differentiation to the T-bet+ NKT1 subset (White et al., 2014), and that CCR7 a chemokine receptor known to be involved in medullary localization is expressed on “uncommitted” PLZFhi iNKT cells, but not on differentiated NKT1, NKT2, or NKT17 cells (data not shown). Other chemokine receptors might regulate localization as well. For example, CXCR3 is expressed exclusively on NKT1 cells and its ligand CXCL10 produced by medullary thymic epithelial cells was suggested to direct iNKT cell medullary localization and long-term residency (Berzins et al., 2006; Drennan et al., 2009). However, our analysis showed that not only NKT1 cells but also NKT2 and NKT17 cells preferentially resided in the medulla, indicating that CXCR3 is not the only factor regulating medullary localization of iNKT cells. Further studies are required to identify factors regulating cortico-medullary or medullo-cortical migration of iNKT cells and to determine if cortical iNKT cells serve a particular function.
We extended our analysis of subset localization into other lymphoid organs. The mLN of BALB/c mice were particularly enriched with NKT2 cells, especially in the T cell zone. These cells also had an increased MFI of Nur77gfp in the steady state, suggesting their antigen receptors were being stimulated, and they produced IL-4 at steady state, which conditioned surrounding T cells to phosphorylate STAT6. One possible explanation of these observations is that microbial antigens from the gut are carried to the mLN where they stimulate NKT2 cells. A previous report showed that stimulation of intestinal iNKT cells during the neonatal period by a sphingolipid from Bacteroides fragilis suppressed subsequent accumulation and pathogenic activation of iNKT cells in the colon and lung (An et al., 2014; Olszak et al., 2012). In addition, iNKT cells from germ free mice showed reduced expression of CD5 and CD69 at steady state and general hypo-responsiveness upon αGalCer challenge. B6 mice from Taconic, compared to those from Jackson Laboratory, have an increased frequency of iNKT cells in spleen and gut that express TCR Vβ7 and CD127, and the difference disappears with co-housing (Wingender et al., 2012). Collectively, these results suggest that intestinal antigens provide homeostatic signals to iNKT cells. However, it remains to be determined if the intestinal microbiome regulates inter-strain differences in iNKT cell development and/or activation in the mLN.
Recently, two more subsets of iNKT cells have been described; NKTFH (follicular helper NKT) and NKT10 cells expressing transcription factor Bcl6 and E4BP4 respectively (Chang et al., 2012; Lynch et al., 2015; Sag et al., 2014). NKTFH cells are localized in germinal center and provide help to B cells. NKT10 cells are localized in white adipose tissue and secrete IL-10 to create immunoregulatory environment. We did not analyze these cells as they are not found in lymphoid organs at steady state or induced at early timepoints after immunization.
IV administration of αGalCer immediately activated iNKT cells with vascular access but not iNKT cells in LN or thymus. It is not clear why these iNKT cells are not responsive, but we showed it was not an intrinsic feature of LN iNKT cells (Figure 6F). It is possible that serum components such as lipid binding proteins (van den Elzen et al., 2005) restrict αGalCer distribution to the vascular compartment, or that antigen presenting cells in the LN are not specialized to present lipid antigens.
Oral antigenic intake induces tolerogenic T cell responses (Pabst and Mowat, 2012). However, co-administration of oral αGalCer together with protein antigens induced a protective immune response against tumor cells expressing the cognate antigens (Silk et al., 2004). The adjuvant effects were not seen by IV injection of αGalCer, suggesting that routes of antigenic delivery are critical. In this paper, we provided mechanistic insight as to how oral αGalCer exerts its effects; oral αGalCer specifically activates NKT2 cells in mLN to produce IL-4.
After oral gavage, it took about 7 hours before iNKT cells began to be activated in mLN and the response peaked at 24 hours (data not shown). We think this delay may be due to the requirement of antigen presenting cells to traffic from intestine to mLN. In mLN, NKT2 cells might share an anatomic niche with migrating dendritic cells or migrating dendritic cells might be specialized to activate only NKT2 cells, but not NKT1 cells via their expression patterns of co-stimulatory molecules or secreted factors. However, this is not consistent with previous findings that migrating dendritic cells in the mLN favor the differentiation of Th1 and/or Th17 cells, but not Th2 cells (Cerovic et al., 2014).
Inflammatory bowl diseases such as Crohn’s disease and ulcerative colitis are chronic relapsing inflammatory disorder involving the gastrointestinal tract (Kaser et al., 2010). Immunologically, pathogenic Th1 and Th2 responses characterize these two diseases respectively. Our finding that oral αGalCer administration induced an IL-4 rich environment in the mLN, has clinical implications, as oral αGalCer might be able to suppress pathogenic Th1 cell activation in Crohn’s disease, while it might worsen Th2 driven ulcerative colitis. We also showed that oral αGalCer induced an IL-4 effect confined to mLN, which could minimize potential systemic side effects. IV injection of αGalCer eventually induces NKT10 cells secreting IL-10 long after immunization in spleen (Sag et al., 2014) and if this is the same case in mLN after oral gavage of αGalCer, it might be helpful to suppress both Th1 or Th2 driven inflammation as IL-10 is critical for suppressing pathogenic T cell activation in the gut (Saraiva and O’Garra, 2010).
The systemic distribution of iNKT cells in humans is different from that of mice. In humans, iNKT cells are not enriched in liver, and the small intestine is a major organ where iNKT cells are localized early in life (Loh et al., 2014). In human clinical trials, IV αGalCer injection failed to increase serum IL-4 or IFN-γ in a majority of subjects (Giaccone et al., 2002), which has been attributed to their low numerical abundance, as humans have a lower proportion of iNKT cells in blood than mice, albeit with two-log phase variability between individuals (Lee et al., 2002). However, our results suggest that not only numerical issues, but also qualitative issues such as the localization and subset differentiation are crucial for in vivo activation and cytokine secretion from iNKT cells upon αGalCer challenge. As parabiosis experiments suggest that iNKT cells do not circulate (Lynch et al., 2015; Thomas et al., 2011), IV injection of αGalCer may not be an ideal therapeutic strategy if the majority of human iNKT cells are not readily accessible to the vasculature. In this context, the type and localization of human iNKT cells and the most efficient immunization routes to activate them must be clarified.
Experimental Procedures
Mice
B6 (C57BL/6NCr) mice were purchased from the National Cancer Institute. BALB/c (BALB/cJ or BALB/cByJ), Cd1d−/− BALB/cJ (C.129S2-Cd1tm1Gru/J), Il4ra−/− BALB/cJ (BALB/c-Il4ratm1Sz/J) and NOD (NOD/ShiLtJ) mice were from Jackson laboratory. B6 and BALB/c Tbx21gfp and Tbx21gfp KN2+/− mice were described previously (Lee et al., 2013). Vα14Tg Nur77gfp TCR transgenic B6 mice were described before (Holzapfel et al., 2014b). All the mouse experiments were performed under protocols approved by the Institutional Animal Care and Use Committee of the University of Minnesota.
Immunofluorescence
For CD1d tetramer immunofluorescence, fresh thymic lobes, whole lymph nodes or 1–2 mm thickness spleen trans-sections were overnight incubated in 50μl phosphate buffered saline (PBS) solution containing 1:10~1:25 dilution of R-Phycoerythrin (PE) labeled PBS-57 loaded CD1d tetramer in 2% fetal calf serum containing PBS at 4°C. Next day, tissues were washed three times with PBS, fixed with 4% paraformaldehyde (PFA) for one hour and snap frozen. Five micrometer tissue sections were blocked with 5% bovine serum albumin and goat sera (Jackson Laboratory) for 1 hour at 25°C and stained with anti-PE antibody (Novus Biologicals, rabbit polyclonal) followed by goat anti-rabbit AF555 (Life Technology). For human CD2 immunofluorescence, tyramide based amplification was done according to manufacturer’s instruction (PerkinElmer) after staining with anti-human CD2 (RPA2) antibody. RORγt (RORg2, Millipore or Q31-378, BD) and PLZF (D9, SantaCruz or R17-809, BD) were stained followed by goat anti-hamster IgG (Jackson Laboratory) and goat anti-mouse IgG1 (Southern Biotech).
Histocytometry
Hitocytometric analysis was performed as described previously, with modifications (Gerner et al., 2012). Briefly, fluorochrome intensities of each single region of interest were quantified using ImageJ and data were exported into Excel and Prism software for two-dimensional plotting. XY coordinates of gated populations were overlaid on original images to analyze localization. For comparison between histocytometry and flow cytometry in thymus, we obtained 30 to 50 thymic stitch images containing a total of 5×104 ~ 105 cells and adjusted the medullary fraction to 20% as previously described (Irla et al., 2013a).
Flow cytometry
Single-cell suspensions were prepared from thymi, spleens and lymph nodes and hepatic mononuclear cells were separated by percoll gradient. Biotinylated PBS-57 loaded or unloaded CD1d monomers were obtained from the tetramer facility of the US National Institutes of Health. For intracellular staining, single cell suspensions were surface stained, fixed and permeabilized with eBioscience Foxp3 staining buffer set. For pSTAT6 staining, cells were fixed with 1.6% PFA (25°C) and methanol (−20°C) for 10 mi nutes respectively and stained with surface and intracellular markers. For in vitro IL-4 culture, total thymocytes were incubated for 30 minutes in 10ng/ml IL-4 (eBioscience). For isolation of lymphocytes from lung parenchyma, we labeled circulating cells as described before (Anderson et al., 2014) and chopped tissues were digested with collagenase D (Roche). All antibodies were from eBioscience, BD or Biolegend, unless indicated. Cells were analyzed on an LSR II (Becton Dickinson) and data were processed with FlowJo software (TreeStar).
Enzyme-linked immunosorbent assay
A mouse IL-4 and IFN-γ ELISA MAX kit (Biolegend) was used for quantification of serum cytokines.
In vitro stimulation of iNKT cells
Splenocytes of Vα14Tg Nur77gfp TCR transgenic mouse were resuspended in RPMI media containing 10% FCS at 5×106/ml concentrations. PE conjugated PBS-57 loaded CD1d tetramer or PE conjugated empty CD1d tetramer was added in media and cultured for 4 hours at 37°C. GFP expression was determined by flow cytomet ry analysis after in vitro stimulation.
Lipid injection
Two micrograms of α-galactosylceramide (Avanti Polar Chemical, KRN7000) were dissolved in DMSO (1mg/ml), diluted in PBS and intravenously injected or oral gavaged. Control mice were administrated with DMSO/PBS. Mice were analyzed after 3 or 24 hours respectively if not otherwise indicated.
Statistical analysis
Prism software (Graphpad) was used for statistical analysis. ANOVA and t-test (paired or unpaired, two-tailed) were used for data analysis and the generation of P values.
Supplementary Material
Highlights.
IL-4 secreting NKT2 cells are localized in the thymic medulla
Splenic NKT1 cells are in red pulp and NKT2 cells in T cell zone
IV injection of αGalCer activates NKT1 cells in spleen and liver
Oral administration of αGalCer stimulates NKT2 cells in mesenteric LN
Acknowledgments
We thank Michael Y. Gerner (NIH) for technical comments. The authors declare no competing financial interests. This research was supported by NIH grants R37-AI39560 (to K.A.H.), RO1-AI075168 (to S.C.J.) and K99-AI114884 (to Y.J.L).
Footnotes
Author Contributions
Y.J.L. designed and performed experiments, analyzed data and wrote the manuscript; H.W., G.J.S. and V.P. performed experiments and provided input for interpretation; S.C.J. provided input for research design and interpretation; and K.A.H. conceptualized the research, directed the study, analyzed data and edited the manuscript.
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