Abstract
Metastasis is the leading cause of cancer-related deaths and myeloid cells are critical in the metastatic microenvironment. Here, we explore the implications of reprogramming pre-metastatic niche myeloid cells by inducing trained immunity with whole beta-glucan particle (WGP). WGP-trained macrophages had increased responsiveness not only to lipopolysaccharide but also to tumor-derived factors. WGP in vivo treatment led to a trained immunity phenotype in lung interstitial macrophages, resulting in inhibition of tumor metastasis and survival prolongation in multiple mouse models of metastasis. WGP-induced trained immunity is mediated by the metabolite sphingosine-1-phosphate. Adoptive transfer of WGP-trained bone marrow-derived macrophages reduced tumor lung metastasis. Blockade of sphingosine-1-phosphate synthesis and mitochondrial fission abrogated WGP-induced trained immunity and its inhibition of lung metastases. WGP also induced trained immunity in human monocytes, resulting in antitumor activity. Our study identifies the metabolic sphingolipid–mitochondrial fission pathway for WGP-induced trained immunity and control over metastasis.
Cancer metastasis accounts for more than 90% of cancer-related deaths and is a major cause of cancer-related mortality in humans1. Accumulating evidence suggests that before metastasis, factors released from the primary tumors into the circulation can prime the distant organs to generate an environment that is supportive for tumor survival and growth2–4. This phenomenon has been termed as a pre-metastatic niche. Myeloid cell signatures and pathways are among the most significantly enhanced features within the pre-metastatic microenvironment5. Therefore, polarizing myeloid cells in the pre-metastatic niche toward an antitumor phenotype may provide immune surveillance to eliminate or control metastasis.
Innate immune cells are conventionally not believed to retain a memory phenotype. However, emerging evidence suggests that invertebrates, lower vertebrates and plants are able to respond adaptively to recurrent infections despite lacking the memory features afforded by the adaptive immune system. These observations have led to the development of a new concept of innate immune memory, also known as trained innate immunity or trained immunity6. Trained immunity is associated with metabolic, epigenetic and transcriptomic reprogramming, which results in an increased responsiveness to a nonspecific secondary insult7–11. The induction of trained immunity has been explored for its application in health and disease, especially infectious diseases and inflammatory conditions12–14. In addition, the concept of utilizing trained immunity as a means to control tumor progression is emerging15,16. However, the mechanisms of how a trained response is elicited by trained innate immune cells to control cancer progression or the etiology of secondary stimuli that trigger trained responses have not been well understood.
Many biological agents, including polysaccharide fungal beta-glucans, have the ability to induce trained immunity. Fungal beta-glucans from Candida albicans and Trametes versicolor and beta-glucan from Saccharomyces cerevisiae have been studied for their ability to induce trained immunity12,15,17. Although beta-glucan has been used as an immunomodulatory agent in cancer18–20, enabling trained immunity using beta-glucan for cancer treatment is just emerging.
In this study, we show that yeast-derived WGP-trained macrophages not only respond to lipopolysaccharide (LPS) as a secondary stimulus, but also elicit a trained response upon exposure to tumor cells and tumor-derived soluble factors. WGP-induced trained immunity effectively controls tumor metastasis and lung interstitial macrophages (IMs) are the primary effector cells. In addition, adoptive transfer of trained innate cells reduces tumor metastasis. The metabolic sphingolipid synthesis pathway-mediated mitochondrial fission is an underlying mechanism for WGP-mediated trained immunity and cancer metastasis inhibition. These findings highlight the use of trained immunity as an approach for cancer treatment and metastasis control.
Results
Tumor-derived factors stimulate trained responses
Before using WGP to induce trained immunity, we performed the chemical, topographical and mechanical mapping of WGP with ~6-nm resolution by combining peak force infrared (PFIR) microscopy with super-resolution fluorescence microscopy21,22 (Extended Data Fig. 1a–c). PFIR scans revealed that WGP is mainly composed of beta-glucan, as indicated by infrared (IR) peaks near 1,140–1,160 cm−1, but also displays some heterogeneous surface features (P2 and P4; Extended Data Fig. 1a) that are enriched in lipid-containing components, as indicated by the intense IR peak at ~1,750 cm−1. Using GFP-tagged Dectin-1 RAW 264.7 cells, we observed that WGP was phagocytosed by RAW cells and Dectin-1 was recruited and clustered at the site of the phagocytic cup (Extended Data Fig. 1d,e), suggesting that Dectin-1 is the critical receptor for WGP phagocytosis. We next performed an in vitro training experiment with WGP (Fig. 1a). Cytokine tumor necrosis factor (TNF) was used as a surrogate marker to measure the trained response12. WGP-trained macrophages showed an enhanced TNF production to LPS restimulation as compared to untrained macrophages (Fig. 1a), indicating that WGP induces trained immunity. This effect is dependent on Dectin-1 as the increased TNF production was abolished in Dectin-1-deficient macrophages (Fig. 1b). Macrophages treated with polystyrene beads that were the same size as WGP showed no enhanced TNF response (Fig. 1c), suggesting that the induced trained immunity is WGP specific. WGP training was also associated with metabolic reprogramming as revealed by increased hexokinase 2 (HK2) expression (Fig. 1d), consistent with previous findings10.
Although LPS has been commonly used as a secondary stimulus to induce a trained response, it is unknown how trained responses are elicited in different health or disease states. To address whether a trained response can be induced by tumors, we co-cultured tumor cells with WGP-trained macrophages. WGP-trained macrophages induced a stronger TNF response when co-cultured with Lewis lung carcinoma (LLC) cells, but not mouse lung epithelial cell line, MLE-12 (Fig. 1e), suggesting that tumor-specific factors stimulate the trained response. This effect was also shown by co-culturing WGP-trained macrophages with B16F10 melanoma and EL4 lymphoma cells (Fig. 1f), indicating that elicitation of the trained response is not specific to a single tumor cell type. To determine if tumor-secreted factors could act as a secondary stimulus for a trained response, LLC or MLE-12 culture supernatants were used. WGP-trained macrophages produced a significantly higher TNF when restimulated with LLC culture supernatant as compared to untrained controls or supernatants from control MLE-12 cells (Fig. 1g). B16F10 and EL4 culture supernatants also stimulated trained responses (Fig. 1g). To explore which tumor-secreted factors are responsible for this effect, we quantified one of the most widely studied tumor-secreted cytokines, macrophage migration inhibitory factor (MIF). The MIF levels ranged from 50 to 350 ng ml−1 in the tumor culture supernatants (Fig. 1h). When WGP-trained macrophages were restimulated with physiologically relevant concentrations of recombinant MIF (rMIF), a dose-dependent enhanced TNF response was observed (Fig. 1i). Both tumor cells and macrophages secrete MIF23, so we used macrophages from MIF knockout (KO) mice and observed that the TNF level was similar in WGP-trained MIF KO and wild-type (WT) macrophages (Fig. 1j), suggesting that tumor-secreted MIF stimulates a trained response. Addition of anti-MIF monoclonal antibody abrogated the LLC supernatant-stimulated enhanced TNF production (Fig. 1k). CD74 is considered a key receptor for MIF24. WGP-trained CD74 KO macrophages produced less TNF compared to WT counterparts upon restimulation with rMIF (Fig. 1l) and LLC supernatant (Fig. 1l). In contrast, WGP-trained WT and CD74 KO macrophages produced similar levels of TNF upon LPS restimulation (Fig. 1l). These results suggest that WGP induces trained immunity in vitro and that WGP-trained macrophages elicit a trained response upon reexposure not only to LPS but also to tumor cells and tumor-derived factors such as MIF.
Whole beta-glucan particle in vivo treatment alters myeloid composition in the lungs
To examine whether WGP treatment in vivo could also induce trained immunity, WT C57BL/6 mice received one dose of intraperitoneal (i.p.) WGP. Given that emergency myelopoiesis is an important attribute of fungal beta-glucan and BCG-induced trained immunity25–27, we hypothesized that WGP may also stimulate bone marrow (BM) myelopoiesis and promote Lin−Sca-1+c-Kit+ (LSK) hematopoietic progenitor stem cell (HPSC) expansion. BM cells harvested from in vivo WGP-trained mice showed an increased percentage of LSK HPSCs (Extended Data Fig. 2a) and CD48+CD150− LSK cells also known as multipotent progenitors (MPPs; Extended Data Fig. 2b). To evaluate whether WGP-induced BM myelopoiesis results in a systemic increase in myeloid cells and trained immunity, spleen and inguinal lymph nodes were collected. Both spleen and inguinal lymph nodes from WGP-trained mice showed an increase in CD11b+ myeloid cells (Extended Data Fig. 2c). Trained immunity was also induced in macrophages as revealed by an increased TNF expression (Extended Data Fig. 2d). However, no systemic inflammation in tissues such as the lungs was observed in WGP-trained mice (Extended Data Fig. 2e).
We next determined whether WGP could induce similar changes in the lung myeloid cell compartment, as the lung is a common site of tumor metastasis. Mice treated with WGP had significantly increased CD45+ (Fig. 2a) and CD11b+ cells (Fig. 2b) in the lungs compared to PBS controls. An increase in CD11b+F4/80+ IMs and a decrease in CD11b−F4/80+CD11c+ alveolar macrophages (AMs) occurred in WGP-trained mice (Fig. 2c and Extended Data Fig. 2f). We also observed a significant increase in the frequency of CD11b+Ly6ChiCX3CR1+ inflammatory monocytes and a slight increase in the frequency of CD11b+Ly6CloCX3CR1+ patrolling monocytes after WGP treatment (Fig. 2d). Lung IMs from WGP-treated mice showed an increased expression of TNF upon LPS restimulation (Fig. 2e), suggesting a trained immunity phenotype. Lung AMs, however, did not show any significant difference in TNF expression (Fig. 2e).
Lung IMs are heterogenous populations and contain at least two distinct subsets in the steady state28,29. CCR2+ IMs are thought to be derived from BM-originated precursors30 and constitute approximately 50% of total IMs (Extended Data Fig. 3a). Upon WGP training, the frequency of CCR2+ IMs increased while CCR2− IMs decreased (Extended Data Fig. 3b). However, both subsets from WGP-trained mice elicited a trained response (Extended Data Fig. 3c). To dissect the relationship between CCR2+ and CCR2− IMs, we used CCR2 KO mice and found that lung IMs were reduced about 50% compared to WT mice, while AMs were unchanged (Extended Data Fig. 3d). WGP-induced trained immunity was abrogated in CCR2 KO mice (Extended Data Fig. 3e), suggesting that the observed CCR2− IM trained immunity is dependent on trained CCR2+ IMs.
We next treated mice i.p. with 0.5 mg or 2 mg of WGP to determine the optimal dose. WGP training showed a significant increase in TNF expression in lung IMs. There was no substantial difference between 0.5 mg and 2 mg of WGP treatment (Extended Data Fig. 3f). Therefore, 1 mg was used for our subsequent experiments. To ensure that the lung IM trained phenotype was a result of a WGP-induced effect, polystyrene beads were i.p. injected. Lung IMs showed a significant increase in TNF expression in WGP-trained mice but not in polystyrene bead-treated mice (Extended Data Fig. 3g). We also stimulated lung IMs with LLC culture supernatants and rMIF. WGP-trained lung IMs showed higher TNF expression upon stimulation with LLC culture supernatants (Fig. 2f) and rMIF (Fig. 2g) compared to controls. These results suggest that WGP in vivo training induces myelopoiesis in the BM, resulting in a systemic increase in myeloid cells, and lung IMs—but not AMs—are trained by WGP.
Whole beta-glucan particle-induced trained immunity reduces metastases and prolongs survival
Because WGP-trained lung IMs elicit trained responses against tumor-derived factors, we hypothesized that inducing trained immunity may control tumor metastasis in the lungs. Accordingly, mice trained with or without WGP were intravenously (i.v.) injected with GFP-tagged LLC (LLC-GFP) cells to determine tumor burden in the lungs and long-term survival (Fig. 3a). WGP-trained mice had a significantly reduced tumor burden in the lungs as compared to PBS controls. The histopathology analysis of lung sections also showed increased tumor nodules in control lung sections and few to none in the lungs of WGP-trained mice (Fig. 3b). Given that short-term memory is one of the hallmarks of trained immunity31, we set out to determine how long the WGP-mediated trained effect lasted. Mice were trained with WGP at days −7, −14 and −21 followed by LLC-GFP injection. WGP-treated mice had significantly reduced tumor burden compared to untrained mice (Fig. 3c). However, there was a marked increase in the tumor burden in mice trained at day −21 compared to the mice treated at days −7 and −14. WGP training also led to a decrease in the frequency of regulatory T (Treg) cells and an increase in the frequency of TNF-expressing CD4+ and CD8+ T cells in the lungs (Extended Data Fig. 4a). Long-term survival studies revealed a significantly prolonged survival in mice trained with WGP compared to PBS controls (Fig. 3d).
To validate that WGP-mediated trained immunity and metastasis inhibition are not specific only to an LLC model, a melanoma lung metastasis model was used. Mice trained with WGP had substantially reduced tumor metastases compared to PBS controls (Fig. 3e). WGP training prolonged the survival of B16F10 challenged mice (Fig. 3e). We also used a liver metastasis model whereby mice were i.v. injected with EL4. Previous studies have shown that EL4 lymphoma i.v. injection leads to liver metastasis32. WGP-trained mice showed a significantly reduced number of tumor nodules that were accompanied by reduced total liver weights (Extended Data Fig. 4b), emphasizing the systemic benefit of WGP-mediated trained immunity.
As we showed that BM-derived CCR2+ IMs bear the trained immunity phenotype, we next examined whether the progenitor cells in the BM maintain their trained immunity upon adoptive transfer. To this end, BM cells from WGP-trained or untrained mice were adoptively transferred into lethally irradiated recipient mice. After BM reconstitution, mice were challenged with LLC-GFP (Fig. 3f). Mice reconstituted with BM cells from WGP-trained mice had significantly reduced tumor burden compared to those that received BM cells from untrained mice (Fig. 3g), and lung IMs maintained a trained immunity phenotype in these mice (Fig. 3h). Interestingly, the majority of lung IMs (80–90%) in the recipient mice expressed CCR2 and were derived from donors and these CCR2+ IMs exhibited trained immunity (Extended Data Fig. 4c). These data suggest that the induction of trained immunity effectively controls tumor metastasis.
Whole beta-glucan particle-trained lung interstitial macrophages inhibit metastasis and tumor development
To determine whether WGP-trained IMs are the effector cells that control metastasis, we depleted macrophages with clodronate liposome (Clodrosome; Fig. 4a). Depletion efficiency is shown in Extended Data Fig. 5a. Depletion of macrophages resulted in significantly increased tumor burden comparable to PBS controls (Fig. 4b). In addition, WGP-mediated lung metastasis control in WT mice was abrogated in CCR2 KO mice (Extended Data Fig. 5b), suggesting that BM-originated lung IMs are the primary effector cells that control cancer lung metastasis. To determine whether neutrophils are involved in this process, as a recent study emphasized the role of trained immunity-mediated granulopoiesis in an antitumor phenotype15, neutrophils were depleted before and during WGP training. No differences were observed in the lung tumor burden between neutrophil intact and deficient WGP-trained mice (Fig. 4c). We also depleted neutrophils during the entire tumor protocol (Extended Data Fig. 5c). Neutrophils were effectively depleted (Extended Data Fig. 5d). However, depletion of neutrophils did not alter WGP-mediated lung tumor metastasis control (Extended Data Fig. 5e). To examine whether adaptive CD4+/CD8+ T cells are essential in WGP-induced trained immunity, CD4+ and/or CD8+ T cells were depleted during the WGP training period. Depletion efficiency is shown in Extended Data Fig. 5f. Depletion of CD4+ or CD8+ T cells, or both, did not affect WGP-mediated lung tumor metastasis inhibition (Fig. 4d). To validate these findings, NSG mice, which lack mature T cells, B cells and NK cells, were used. WGP induced trained immunity in NSG lung IMs (Extended Data Fig. 5g). NSG mice trained with WGP had less tumor burden in the lungs compared to untrained mice (Extended Data Fig. 5h), suggesting that WGP-mediated training and metastasis control are not dependent on neutrophils and adaptive T and B cells.
We next used a clinically relevant model where the triple-negative breast cancer cell line 4T1 was orthotopically implanted into female Balb/c mice. When tumor size reached 2–3 mm in diameter, primary tumors were surgically excised. Mice were then treated with WGP and long-term survival was monitored (Fig. 4e). Because Balb/c mice are genetically distinct from C57BL/6 mice, we confirmed the in vivo trained phenotype of lung IMs in this strain (Fig. 4f). Mice treated with WGP showed a prolonged survival as compared to controls (Fig. 4g), indicating that WGP can be used in an adjuvant setting to reduce lung metastasis. We also used WGP in the treatment setting. Mice were first orthotopically implanted with 4T1 cells and received one dose of WGP treatment 5 d after tumor injection (Fig. 4h). WGP treatment significantly reduced lung metastasis (Fig. 4i). To further investigate the use of WGP in a therapeutic setting, we used a genetically engineered mouse model of lung cancer. K-rasLA1 mutated mice spontaneously develop lung tumor nodules starting at 4 months of age33. Taking this tumor development and the short-lived nature of WGP-mediated trained immunity into consideration, we developed a treatment protocol where K-rasLA1 mice were trained with WGP starting at 6 weeks of age and repeated every 3 weeks (9, 12 and 15 weeks). At 17 weeks, mice were euthanized to examine lung tumor nodules (Fig. 4j). WGP-treated mice had significantly fewer lung tumor nodules as compared to untreated controls (Fig. 4k). Histological analysis of the lungs also confirmed this phenotype (Fig. 4l). These results suggest a therapeutic benefit of WGP-mediated trained immunity in controlling lung tumor development and metastasis.
Whole beta-glucan particle training augments lung interstitial macrophage phagocytosis and cytotoxicity
To understand the mechanistic basis of WGP-induced trained immunity and inhibition of tumor metastasis, we performed RNA sequencing (RNA-seq) on lung IMs from WGP-trained or control mice. RNA-seq analysis revealed a significant number (total 3,417) of differentially expressed genes (DEGs) in WGP-trained lung IMs compared to PBS controls (Extended Data Fig. 6a). Ingenuity pathway analysis highlighted pathways involved in innate immune function including phagocytosis, cytokine secretion, the NF-κB pathway and the oxidative stress and metabolic pathways (Extended Data Fig. 6b). Gene-set enrichment analysis (GSEA) also showed a significant enrichment of innate immune effector functions in IMs from WGP-trained mice (Extended Data Fig. 6c). Phagocytosis-related genes were significantly enriched in WGP-trained lung IMs (Fig. 5a). We then performed a phagocytosis assay using pHrodo-green-labeled Staphylococcus aureus. Lung IMs, but not AMs from WGP-trained mice, exhibited significantly increased phagocytosis compared to those from PBS control mice (Fig. 5b), indicating that WGP training increases lung IM phagocytic capacity.
We next performed a cytotoxicity assay by co-culturing sorted lung IMs with LLC cells. WGP-trained IMs exhibited increased cytotoxicity compared to untrained PBS controls (Fig. 5c). To determine if this effect occurs in vivo, PBS-trained versus WGP-trained mice were injected with LLC-GFP cells i.v. and euthanized after 24 h. WGP-trained mice showed a significantly reduced frequency of LLC-GFP cells in the lungs compared to PBS controls (Fig. 5d), suggesting that WGP-mediated training reduces tumor dissemination in the lungs.
One of the enriched pathways from our GSEA analysis was the reactive oxygen species (ROS) biosynthetic pathway (Fig. 5e). To understand if generation of ROS is an underlying mechanism for cytotoxicity of WGP-trained lung IMs, WGP-trained macrophages were detected for mitochondrial ROS (mtROS) using MitoSox Red staining. WGP treatment increased mtROS production (Fig. 5f). Addition of mitochondria-targeted antioxidant Mito-TEMPO inhibited the cytotoxicity of WGP-trained IMs (Fig. 5g). Taken together, these results suggest that WGP-induced lung IM trained immunity results in increased phagocytosis and cytotoxicity to tumor cells.
Sphingolipid synthesis is critical for lung interstitial macrophage-trained immunity
Activation of mammalian/mechanistic target of rapamycin (mTOR) through a hypoxia-inducible factor-1α (HIF-1α) pathway-mediated aerobic glycolysis is a well-established mechanism for inducing trained immunity10,34. We thus generated myeloid cell conditional knockout mouse (cKO) models for Raptor (mTORC1), Rictor (mTORC2) and HIF-1α. Peritoneal macrophages from Raptor cKO mice trained with WGP showed an increased TNF response after LPS restimulation (Extended Data Fig. 7a). In addition, WGP-trained control and Raptor cKO mice showed a similar level of reduced tumor burden (Extended Data Fig. 7b). Similar results were observed in Rictor cKO mice. A similar in vitro training experiment was performed using macrophages from HIF-1α cKO mice and an increased TNF response was observed in macrophages of WGP-trained HIF-1α cKO mice. However, TNF levels from WGP-trained HIF-1α cKO macrophages were lower than those in control mice (Extended Data Fig. 7c), suggesting that WGP-mediated trained immunity is partially dependent on the HIF-1α pathway. Despite this, HIF-1α cKO mice were able to reduce lung metastases upon WGP training and was comparable to WGP-trained control mice (Extended Data Fig. 7d). These data suggest that the HIF-1α pathway is not essential in WGP training-mediated metastasis inhibition.
Beta-glucan-mediated interleukin (IL)-1β signaling has also been implicated in the proliferation of HPSCs and myelopoiesis25,35,36. We performed both in vitro training and in vivo training-tumor challenge experiments using IL-1R global KO mice. Upon WGP training, macrophages from IL-1R KO mice produced higher TNF compared to untrained controls. IL-1R KO mice trained with WGP also significantly inhibited lung metastasis (Extended Data Fig. 7e), indicating that IL-1R signaling is not critical for WGP-mediated training and metastasis inhibition. Along this line, there was no significant difference in TNF levels between WGP-trained WT and Nlrp3 KO macrophages (Extended Data Fig. 7f). The Nlrp3 inflammasome pathway is upstream of IL-1β and important for the transcription and expression of IL-1β36,37. These results emphasize that WGP-mediated trained immunity is not dependent on the IL-1β–IL-1R pathway.
To examine other possible signaling pathways responsible for WGP-mediated trained immunity, we further analyzed our RNA-seq data and found that one of the most upregulated genes expressed by WGP-trained IMs is ceramide synthase 6 (Cers6; Extended Data Fig. 6a), a gene in the sphingolipid synthesis pathway. Many other genes involved in sphingolipid synthesis pathways were also upregulated in WGP-trained IMs (Fig. 6a). Quantitative PCR with reverse transcription (RT–qPCR) analysis confirmed that Cers6 and sphingosine kinase-2 (Sphk2) mRNA levels were increased in WGP-trained lung IMs (Fig. 6b). We next examined whether inhibition of ceramide synthase has any effect on WGP-mediated trained immunity. Addition of ceramide synthase inhibitor fumonisin-B1 abrogated WGP-mediated trained immunity (Fig. 6c). Ceramide can be synthesized through a de novo synthesis pathway where serine and palmitoyl-CoA undergo a series of reactions to produce ceramide or through a salvage pathway using sphingosine (Fig. 6b). Breakdown of ceramide via ceramidases yields sphingosine, which can be phosphorylated via sphingosine kinases (Sphk1 or Sphk2) to produce sphingosine-1-phosphate (S1P)37,38. Addition of a specific Sphk2 inhibitor (Sphk2i) attenuated the trained responses (Fig. 6d), suggesting that production or accumulation of S1P but not ceramide itself is important for WGP-stimulated trained immunity. To further establish the role of S1P in the WGP-mediated trained immunity, we measured S1P abundance by liquid chromatography–mass spectrometry (LC–MS). WGP-trained macrophages showed an increased S1P abundance compared to PBS controls (Fig. 6e). Macrophages trained with S1P showed higher TNF production compared to the untrained controls (Fig. 6f). S1P-trained macrophages also exhibited an enhanced mtROS production (Fig. 6g). Previous studies have shown that S1P induces mtROS through the activation/phosphorylation of dynamin-related protein-1 (Drp-1), translocation of Drp-1 to the mitochondria and subsequent mitochondrial fission38,39. Treatment with S1P resulted in increased phosphorylated Drp-1 (p-Drp-1) in macrophages (Fig. 6h). Addition of a selective Drp-1 inhibitor Mdivi-1 abrogated S1P-induced trained immunity (Fig. 6i), suggesting that mitochondrial fission may play a critical role in WGP-mediated trained immunity. However, whether such mechanisms are retained upon exposure to the tumor milieu remains unknown.
Mitochondrial fission in trained immunity and metastasis inhibition
To examine the role of mitochondrial fission in WGP-mediated trained immunity, we assessed p-Drp-1 levels in WGP-trained macrophages. WGP-trained macrophages showed a significant phosphorylation of Drp-1 (Fig. 7a and Extended Data Fig. 8a). Addition of Sphk2i decreased the level of p-Drp-1 but not total Drp-1. WGP-mediated mitochondrial fission was also detected by staining macrophages with a cell membrane permeable dye Tetra-methyl-rhodamine methyl ester (TMRM). Confocal microscopy analysis revealed that WGP training resulted in mitochondrial fragmentation. Addition of Mdivi-1 diminished WGP-induced mitochondrial fragmentation (Fig. 7b). WGP training-induced mitochondrial fission in macrophages was also revealed by transmission electron microscopy (TEM; Extended Data Fig. 8b). Inhibition of mitochondrial fission by Mdivi-1 abrogated WGP-mediated trained responses (Fig. 7c) and mtROS production (Fig. 7d) as well as cytotoxicity (Fig. 7e), which suggests critical roles of mitochondrial fission in the WGP-induced trained immunity in vitro.
To determine the role of mitochondrial fission in WGP-mediated trained immunity in vivo, mice were trained with WGP along with treatment of Mdivi-1 or vehicle control. BM analysis revealed an expansion of both LSK cells and MPPs in WGP-trained Mdivi-1-treated and dimethylsulfoxide (DMSO)-treated mice compared to respective untrained controls (Extended Data Fig. 9a). There was no significant difference between WGP-trained DMSO-treated or Mdivi-1-treated mice. Similarly, analysis of the lungs also did not show any difference in frequencies of CD11b+ cells and IMs in these mice (Extended Data Fig. 9b). Mdivi-1 treatment therefore did not affect WGP-mediated accumulation of myeloid cells in the lungs. Strikingly, the lung IM training phenotype was abrogated in WGP-trained mice treated with Mdivi-1 (Extended Data Fig. 9c).
We next examined whether inhibition of mitochondrial fission also impacts cancer lung metastasis. To this end, mice were trained with WGP along with treatment of Mdivi-1 or vehicle control followed by LLC-GFP injection (Fig. 7f). WGP-trained mice treated with vehicle control showed significantly lower tumor burdens compared to untrained mice (Fig. 7g). However, there was no difference in the tumor burden between WGP-trained mice treated with Mdivi-1 and untrained mice, suggesting that loss of lung IM training in the presence of Mdivi-1 fails to control tumor metastasis. We also profiled both innate and adaptive T cells and B cells within the lung by the mass cytometer (Fig. 7h). Although the frequencies of CD4+ and CD8+ T cells were not changed in WGP-trained mice, the frequencies of PD-1+CD4+ and PD-1+CD8+ T cells were decreased, while Mdivi-1 treatment abolished this effect (Fig. 7i). In contrast, both CD4+ and CD8+ T cells produced more TNF in WGP-trained mice (Extended Data Fig. 9d). In addition, the PD-L1+/CD206+ macrophages and PD-L1+ macrophages (clusters 5 and 8) were decreased in WGP-trained mice, and this effect was abolished when mice were treated with Mdivi-1 (Fig. 7i). Consequently, the ratios of CD8+ T cells to these myeloid cells (CD11b+F4/80+ and PD-L1+CD11b+) were increased in WGP-trained mice (Fig. 7j). A similar protocol was performed with Sphk2i (Extended Data Fig. 9e). Mice trained with WGP had substantially reduced tumor burden in the lungs compared to untrained mice (Extended Data Fig. 9f). Sphk2i treatment did not change tumor burden in untrained mice compared to vehicle control-treated mice. However, Sphk2i treatment significantly increased tumor burden in the lungs compared to vehicle treatment in WGP-trained mice (Extended Data Fig. 9f), although these mice still had lower tumor burden compared to untrained mice. Taken together, these results indicate that sphingosine–mitochondrial fission is essential for WGP-mediated lung IM trained immunity and in vivo cancer metastasis control.
Mitochondrial fission is essential for bone marrow-derived macrophage-trained immunity
As inhibition of mitochondrial fission did not influence WGP-stimulated BM myelopoiesis, we next examined whether central trained immunity is impacted by mitochondrial fission inhibition. Mice trained with or without WGP received Mdivi-1 or vehicle treatment in vivo. On day 6, BM cells were harvested for bone marrow-derived macrophage (BMDM) differentiation (Fig. 8a). BMDMs differentiated from WGP-trained mice showed enhanced TNF production (Fig. 8b). Mdivi-1 in vivo treatment abrogated the trained immunity phenotype in BMDMs. We also measured oxygen consumption rate (OCR), which detects mitochondrial respiration. WGP-trained BMDMs exhibited higher basal OCR and maximal respiratory capacity compared to untrained BMDMs (Fig. 8c). Mdivi-1 treatment decreased basal OCR but did not alter maximal mitochondrial respiration or spare capacity in untrained BMDMs (Fig. 8d). In contrast, Mdivi-1 treatment drastically reduced basal OCR, proton-linked ATP production and maximal mitochondrial respiratory capacity in WGP-trained BMDMs (Fig. 8e). These results suggest that the mitochondrial fission pathway is critical in WGP-induced central trained immunity.
We next hypothesized that these BMDMs may be used in adoptive cell therapy to control metastasis. BMDMs were trained with WGP in vitro and naïve mice that received WGP-trained or untrained BMDMs were challenged with LLC-GFP (Fig. 8f). Mice that received WGP-trained BMDMs had significantly lower tumor burden in the lungs compared to mice that received untrained BMDMs (Fig. 8g). Increased CD4+ T cells and decreased Treg cells were also noted in mice that received WGP-trained BMDMs (Fig. 8h). In addition, TNF-producing effector T (Teff) cells were increased in these mice and consequently the ratio of Teff cells to Treg cells also increased (Fig. 8i). Mdivi-1 treatment in WGP-trained BMDMs abrogated these effects, further suggesting that the mitochondrial fission pathway is essential in WGP-mediated trained immunity and subsequent tumor metastasis control. To examine whether trained BMDMs can be used in the therapeutic setting, mice were inoculated with LLC-GFP followed by transfer of WGP-trained or untrained BMDMs (Extended Data Fig. 9g). Mice that received WGP-trained BMDMs had significantly reduced tumor burden in the lungs compared to mice that received untrained BMDMs (Extended Data Fig. 9h). These data imply that trained BMDMs could be used as an adoptive cell therapy in cancer.
Whole beta-glucan particle induces trained immunity in human monocytes
To ascertain the human relevance of our findings, we aimed to recapitulate the phenotype using human monocytes. WGP-induced trained immunity in human CD14+ monocytes was revealed by enhanced TNF and IL-6 production upon restimulation with LPS (Extended Data Fig. 10a) or culture supernatants from human non-small-cell lung cancer cell line A549 but not from normal human bronchial epithelial cells (Extended Data Fig. 10b). WGP training in monocytes stimulated enhanced mtROS production (Extended Data Fig. 10c) and increased p-Drp-1 expression assessed by both western blot analysis and flow cytometry (Extended Data Fig. 10d,e). Mitochondrial fission in WGP-trained monocytes was also demonstrated by TEM (Extended Data Fig. 10f). We found that S1P accumulated in WGP-trained monocytes and that S1P induced enhanced mtROS production and p-Drp-1 expression in human monocytes (Extended Data Fig. 10g–i). Addition of Drp1 inhibitor Mdivi-1 abrogated WGP-mediated trained immunity (Extended Data Fig. 10j). Finally, we showed that WGP-trained monocytes exhibited significant cytotoxicity against A549 lung cancer cells both in vitro and in vivo (Extended Data Fig. 10k,l). NSG mice that received WGP-trained monocytes admixed with luciferase-tagged A549 cells had significantly lower lung tumor burden compared to mice that received untrained monocytes as assessed by in vivo bioluminescence imaging (Extended Data Fig. 10l). These results suggest that WGP induces trained immunity in human monocytes resulting in enhanced antitumor immunity.
Discussion
Trained immunity exerted by nanobiologics and beta-glucan has been reported to induce an antitumor effect in primary subcutaneous tumors15,25,39. However, the mechanisms by which innate immune cells induce a trained response upon tumor challenge and the etiology of secondary stimuli that elicit trained responses have not been well studied. In this study, we show that WGP-trained macrophages elicit a trained response upon stimulation with both tumor cells and tumor-derived factors, suggesting that the induction of trained response could be a part of the immunosurveillance mechanisms that inhibit tumor development and metastasis.
Induction of myelopoiesis by reprogramming HPSCs is a cardinal feature of beta-glucan-mediated trained immunity25,36. It is believed that cytokines GM-CSF and IL-1β and the cholesterol biosynthesis pathway are critical in beta-glucan-induced myelopoiesis25,36. We also observed myelopoiesis in the BM upon WGP treatment, leading to a systemic increase in myeloid cells. Despite inducing trained immunity systemically, no systemic inflammation was observed in these mice. We reason that this lack of systemic inflammation is because there are no secondary stimuli available to trigger a trained response. In the lung compartment, there are many myeloid cell subsets. We showed that lung IMs, but not AMs, are trained by WGP. Lung IMs are heterogeneous populations and some of these IMs are BM-derived cells and can be populated from circulating monocytes28. Because WGP training induces BM myelopoiesis, BM-derived monocytes that bear a trained immunity phenotype may traffic into the lung and differentiate into IMs. Indeed, we show that CCR2+ IMs displayed a trained immunity phenotype upon WGP treatment, which is abolished in CCR2 KO mice. This is consistent with previous reports using C. albicans infection models12. Importantly, we show that WGP-trained lung IMs elicit a vigorous trained response upon restimulation with tumor-derived factors. These data lead us to hypothesize that WGP-induced trained lung IMs may control tumor lung metastasis. We used multiple mouse metastasis models and demonstrated that WGP-induced trained immunity inhibits tumor metastasis and prolongs tumor-free survival. We also showed the benefit of the systemic effect of WGP training using a liver metastasis model. Mice reconstituted with BM cells from WGP-trained mice also showed reduced tumor burden. These data collectively support that BM-originated IMs are essential in controlling metastasis. We further used a clinically relevant lung metastasis model and a K-rasLA1 genetically engineered mouse model for spontaneous lung cancer development. Treatment with WGP resulted in prolonged survival in the 4T1 primary breast cancer resected Balb/c mice, reduced lung tumor nodules in K-rasLA1 mutated mice, and decreased lung metastasis in the primary 4T1 model. Surgical resection of primary tumors to minimize the risk of secondary organ metastases is a common practice for individuals with early-stage cancer. However, nearly 30% of women diagnosed with early-stage breast cancer will develop metastatic disease40,41. Therefore, individuals who have received surgical excision of primary tumors require adjuvant therapies to prevent occurrence of metastases42. Our data suggest that the induction of trained immunity through modalities such as WGP treatment may provide an option for these individuals.
A recent study reported that beta-glucan-induced granulopoiesis and neutrophil-mediated antitumor responses are critical in controlling primary subcutaneous tumors15. In our study, however, depletion of neutrophils during the WGP training phase or the whole-tumor protocol did not affect WGP-mediated training and metastasis control. The difference may be due to different tumor models and conformation and sources of beta-glucan. WGP is a particulate form of beta-glucan and can cluster receptors to form a ‘phagocytic synapse’, while soluble beta-glucan does not have such an effect43. In addition, depletion of T cells did not affect WGP-mediated training and metastasis control. This result is further validated in NSG mice. However, WGP training did enhance T cell responses in tumor-bearing mice. RNA-seq analysis also showed an enrichment of immune effector functions and antigen processing and presentation in WGP-trained IMs. Thus, enhanced T cell effector function could be a result of a WGP-mediated increase in macrophage antigen processing and presentation.
We demonstrate that BM-originated lung IMs are the primary effector cells that control tumor metastasis. There are several lines of evidence to support this notion. First, we used the conventional Clodrosome method to deplete macrophages, which abolished WGP-mediated lung metastasis control. Second, WGP-induced lung IM trained immunity and subsequent tumor metastasis inhibition were abrogated in CCR2 KO mice. CCR2 is predominately expressed on BM-derived macrophages. Third, WGP training in NSG mice resulted in lung IM trained immunity and lung metastasis control. Finally, we used in vitro WGP-trained BMDMs as an adoptive cell therapy and showed that mice that received WGP-trained BMDMs had significantly reduced lung tumors. Engineered cellular immunotherapies have been widely investigated in cancer44, particularly for chimeric antigen receptor (CAR) T cells. Effective control of tumor metastasis by adoptively transferred WGP-trained BMDMs opens a new avenue of using trained immunity for cancer treatment and metastasis control. Using innate immune cells such as trained macrophages for adoptive cell therapy has an advantage over CAR T cells as they are not restricted to the major histocompatibility complex and can be manufactured off-the-shelf. However, more work is needed to develop this therapy in the future.
Induction of trained immunity has been attributed to the metabolic and epigenetic reprogramming through the HIF-1α–mTOR signaling pathway and the inflammasome-dependent IL-1β pathway10,45. Metabolites such as mevalonate and lipoproteins have been reported to induce trained immunity46,47. However, we showed that deficiency of HIF-1α, mTOR, Nlrp3 or IL-1R in myeloid cells did not affect WGP-mediated metastasis control. We established a new sphingolipid-mediated mitochondrial fission pathway that is responsible for WGP-induced trained immunity and subsequent metastasis control. We show that S1P induces trained immunity in macrophages. S1P also induces enhanced mtROS production in both mouse macrophages and human monocytes. S1P mediates macrophage differentiation, migration and survival and therefore is an important determinant of macrophage function48. Inhibition of S1P by Sphk2i treatment abolished WGP-induced trained immunity and subsequent tumor metastasis control. We also demonstrated that increased mitochondrial fission leads to an increased mtROS production, which leads to enhanced cytotoxicity. Inhibition of mitochondrial fission abolished trained immunity and metastasis control. These findings suggest that mitochondrial fission is essential in WGP-induced trained immunity and tumor metastasis control. A recent study also showed that oxidized low-density lipoprotein-induced trained immunity in human monocytes depends on mitochondrial function49.
Based on these findings, we propose a new pathway for WGP-mediated trained immunity, where WGP treatment leads to an enhanced sphingolipid synthesis and subsequent accumulation of S1P in macrophages. An increase of S1P results in Drp-1 activation and mitochondrial fission, leading to an enhanced mtROS production and cytotoxicity against tumor cells. These trained macrophages elicit a trained response upon restimulation with tumor-derived factors resulting in a significant antitumor immunity that inhibits tumor progression and metastasis. Our findings highlight that the induction of trained immunity can be used as an effective approach to control cancer metastasis.
Methods
Mice
C57BL/6, Balb/c and IL-1R KO mice were from The Jackson Laboratory. HIF-1αfl/fl/LysM-cre, Raptorfl/fl/LysM-cre and Rictorfl/fl/LysM-cre mice on C57BL/6 background were generated as described previously4. MIF KO and CD74 KO mice were provided by R. Mitchell. K-rasLA1 and Nlrp3 KO mice were provided by H. Bodduluri. All these mice along with Dectin-1 KO, NSG and CCR2 KO mice were housed in a pathogen-free facility at University of Louisville at ~22 °C and 40–60% humidity with a 12-h dark/light cycle and fed with rodent diet 5010 (LabDiet). Mice were at least 6 weeks of age, and experiments were performed in accordance with relevant laws and guidelines approved by the Institutional Animal Care and Use Committee (IACUC) of the University of Louisville (IACUC nos. 6574, 19536 and 22115).
Preparation of beta-glucan and DTAF-labeled whole beta-glucan particle
S. cerevisiae-derived particulate beta-glucan (WGP, Biothera) and 5-([4,6-dichlorotriazin-2-yl]amino) fluorescein hydrochloride (DTAF)-labeled WGP was prepared by incubating WGP (20 mg ml−1) with DTAF (2 mg ml−1; Sigma-Aldrich) in borate buffer (pH 10.8) at room temperature (RT) for 8 h with continuous shaking. The mixture was washed with cold sterile endotoxin-free DPBS (Sigma-Aldrich) for five times50. WGP contains 72% 1,3:1,6-beta-glucan as measured by beta-glucan assay kit (Megazyme, K-YBGL).
PFIR characterization of whole beta-glucan particle
A 20 μl WGP (20 μg ml−1) was dropped on a silicon wafer and dried in the air. The topography, IR absorption, stiffness and adhesion images of WGP particles were acquired using home-built PFIR microscopy. Briefly, PFIR spectral scans between 900 and 1,800 cm−1 were first performed at different locations on the WGP surface. Then PFIR signal at 1,040 cm−1, which is the characteristic signal of polysaccharides, was acquired over the entire WGP surface. During IR scanning, stiffness and adhesion properties of the WGP were simultaneously acquired.
Whole beta-glucan particle phagocytosis
GFP-dectin-1-expressing RAW 264.7 cells were plated on a 35-mm glass coverslip in complete DMEM overnight. WGP particles were added and fluorescence images were acquired using Re-scan confocal microscope equipped with a 1.64 NA ×100 TIRF objective and Hamamatsu CMOS camera. Three-dimensional fluorescence image stacks were projected to two-dimensional images based on maximum intensity using ImageJ (National Institutes of Health (NIH)).
In vitro whole beta-glucan particle training
Purified peritoneal macrophages and BMDMs were treated with WGP (25 μg ml−1) or polystyrene beads (3 μm; Sigma-Aldrich) for 24 h at 37 °C. Macrophages were washed with complete DMEM twice to remove excess WGP or polystyrene beads, complete DMEM was added and cells were incubated for 6 d. On day 7, macrophages were restimulated with different stimuli including LPS (10 or 100 ng ml−1; Sigma), tumor cells, tumor cell culture supernatants (40%) or rMIF (100 ng ml−1; provided by R. Mitchell) for 24 h. The culture supernatants were collected for TNF assay using ELISA (BioLegend, 430901). For cell culture supernatants, tumor cells including LLC, B16F10, EL4 and control cell line MLE-12 were cultured for 72 h (1 million per 4 ml of complete DMEM). The supernatants were stored at −80 °C in aliquots. MIF levels were measured by MIF ELISA kit (R&D Systems, DY1978). For anti-MIF neutralizing assay, WGP-trained and untrained peritoneal macrophages were restimulated with LLC supernatant (10%) in the presence or absence of anti-MIF neutralizing monoclonal antibody (50 and 75 μg ml−1) for 24 h. For in vitro training with S1P, peritoneal macrophages were stimulated with S1P (200 or 300 nM) for 24 h. The macrophages were washed and allowed to rest. On day 7, macrophages were restimulated with LPS or LLC culture supernatant for 24 h. For in vitro training with different inhibitors, macrophages were trained with WGP or S1P in the presence or absence of Mdivi-1 (10 μM; Sigma-Aldrich), sphingosine kinase-2 inhibitor (50 μM; Cayman Chemicals, ABC294640), Fumonisin-B1 (50 μM, Sigma-Aldrich), or the corresponding vehicle controls during training and resting periods.
In vivo whole beta-glucan particle training
Mice were i.p. injected with one dose of WGP (1 mg) on day 0 and euthanized on day 7 to assess lung, BM, spleen and lymph node phenotype. Mice treated with 1 mg polystyrene beads or PBS were used as controls. For ex vivo restimulation, cells were restimulated with LPS (10 ng ml−1), LLC culture supernatant (40%) or rMIF (100 ng ml−1) in the presence of brefeldin A (BioLegend). The cells were stained for surface markers and intracellular TNF.
Flow cytometry
Cells from lung, spleen and lymph nodes were incubated with Fc blocker for 10 min at 4 °C, and then stained with viability dye eFluor 780 (eBioscience), anti-CD45-PerCP-Cy5.5, anti-CD11b-APC, anti-F4/80-PE, anti-Ly6C-PerCP-Cy5.5, anti-Ly6G-PE, anti-CX3CR1-FITC, anti-CD4-APC, and anti-CD8-FITC (BioLegend; 1:300 vol/vol dilution) for 30 min at 4 °C. For BM phenotyping, cells were stained for anti-CD19-APC, anti-Ter119-APC, anti-CD11b-APC, anti-Ly6C/G-APC and anti-CD3-APC as lineage markers along with anti-Ly6A/E-APC-Cy7 (Sca-1), anti-CD117-PE-Cy7 (c-kit), anti-CD48-FITC and anti-CD150-PE-Cy5 (SLAM; BioLegend; 1:300 dilution) for Lin−Sca-1+c-kit+ LSK populations and Lin−Sca-1+c-kit+ CD48+CD150− MPPs. Data were collected using FACSCanto flow cytometer (BD Bioscience). The intracellular TNF (anti-TNF-PE; 1:600 dilution) and FoxP3 (anti-FoxP3-PE; 1:300 dilution) staining was performed using Fixation Buffer (BioLegend, 420801) and Foxp3 Staining Buffer Set (Thermo Fisher, 00-5523-00) according to the manufacturer’s instruction. Information for all flow antibodies is provided in the Reporting Summary. Flow data were analyzed using FlowJo software (Tree Star).
Tumor metastasis models
Mice were treated with an i.p. injection of WGP (1 mg in 200 μl PBS) or PBS on day 0, and on day 7 mice were inoculated i.v. with tumor cells (LLC-GFP, B16F10 or EL4) in 200 μl of PBS. After 14–16 d, mice were assessed for tumor development in the lungs or liver, or observed for long-term survival. For the short-term tumor protocols, mice were injected with 1 × 106 LLC-GFP cells on day 7 after WGP treatment and after 24–48 h, the frequency of LLC-GFP cells was determined by flow cytometry (gated on viable, CD45-negative population). For the 4T1 model, 6-week-old female Balb/c mice were subcutaneously implanted with 4T1 cells (0.1 × 106 cells per mouse) on the fourth mammary pad. When tumor size reached 2–3 mm in diameter, tumors were surgically resected. Five days after surgery, mice were injected with WGP (1 mg) or PBS and observed for long-term survival. In a separate set of experiments, female Balb/c mice were implanted with 4T1 tumors for primary tumor development. On day 5, mice were treated with WGP (1 mg) or PBS and euthanized 2 weeks later to analyze lung metastasis. For the spontaneous K-rasLA1 lung cancer model, 6-week-old K-rasLA1 mice were i.p. injected with WGP (1 mg) or PBS. Treatments were repeated at 9, 12 and 15 weeks of age. The mice were euthanized at 17 weeks, and tumor nodules in lungs were counted and assessed using H&E staining by 3DHISTECH’s CaseViewer. The humane endpoints of tumor-bearing mice included loss of 15% body weight or primary tumor size beyond 15 mm in diameter.
Bone marrow chimeric mice
BM cells were collected from trained (WGP 1 mg) or untrained CD45.2+ C57BL/6 mice 7 d after treatment and adoptively transferred into irradiated (950 rads) CD45.1+ B6 SJL mice (5 × 106 per mouse). BM reconstitution in recipient mice was examined by determining the ratio of CD45.2+ to CD45.1+ in lung IMs 4 weeks after adoptive transfer. Peripheral blood was used to confirm BM reconstitution by staining CD3+ T cells, CD19+ B cells, Gr-1+ neutrophils and NK1.1+ cells. Then, LLC-GFP cells (0.4 × 106) were injected i.v. into these mice and the lung metastasis burden was determined at day 14 after tumor cell injection. TNF expression by lung IMs after ex vivo LPS (1 ng ml−1) restimulation was also examined by flow cytometry.
Depletion of macrophages, T cells and neutrophils
Macrophage depletion was performed by i.v. injection of Clodrosome (Encapsula NanoSciences) at 200 μl per mouse on days −2, 2 and 5. To deplete CD4+ and/or CD8+ T cells, mice were i.p. injected with 200 μg of anti-CD4 or anti-CD8 monoclonal antibody or both on days −1 and 4 during the training period. Neutrophil depletion was performed by i.p. injection of anti-Ly6G monoclonal antibody (300 μg; Bio X cell) on days −1, 2 and 6 during the training period. Mice were trained with either PBS or WGP on day 0, and challenged with 0.4 × 106 LLC-GFP tumor cells i.v. on day 7. In a separate set of experiments, neutrophils were depleted throughout the training and tumor protocol with anti-Ly6G monoclonal antibody or isotype monoclonal antibody on days −1, 6 and 13. Mice were trained on day 0 and challenged with LLC-GFP on day 7.
RNA sequencing and RT–qPCR
RNA was extracted from purified lung IMs (viable, CD45+CD11b+F4/80+ population) of mice trained with PBS and WGP (day 7) using RNAeasy Kit (QIAGEN, 74004) and checked for integrity using Bioanalyzer 2100 system (Agilent Technologies). Poly-A enriched mRNA-seq libraries were prepared following the Universal Plus mRNA-Seq kit standard protocol (Tecan Genomics, 0520–24) using 10 ng of total RNA. All samples were ligated with Illumina adaptors and individually barcoded. Absence of adaptor dimers and consistent library size of approximately 300 bp was confirmed using the Agilent Bioanalyzer 2100. The library concentration and sequencing behavior was assessed in relation to a standardized spike-in of PhIX using a Nano MiSeq sequencing flow cell from Illumina. Around 1.8 pM of the pooled libraries with 1% PhiX spike-in was loaded on one NextSeq 500/550 75-cycle High Output Kit v2 sequencing flow cell and sequenced on the Illumina NextSeq 500 sequencer targeting 60 M 1 × 75-bp reads per sample50. Differential expression was performed using DESeq2 software51. Functional annotation analysis of the DEGs was performed using GSEA52. RNA-seq data were deposited with the Gene Expression Omnibus (GEO) under accession code GSE195750. For qRT–PCR, RNA was extracted from lung IMs of PBS control mice versus WGP-trained mice using standard phenol-chloroform method.
Phagocytosis assay
Lung cells were resuspended in 100 μl antibiotic-free complete RPMI 1640 containing HEPES in non-adherent culture tubes. Particles were reconstituted as indicated in the pHrodo Green S. aureus Bioparticles Phagocytosis Kit (Thermo Fisher Scientific, P35367), and were added to cells, followed by incubation at 37 °C for 1 h with gentle mixing every 15 min. Cells were stained with viability dye eFluor 780, anti-CD45-PerCP-Cy5.5, anti-CD11b-PE-Cy7 and anti-F4/80-APC. Phagocytosis by lung macrophages was determined by flow cytometer.
Cytotoxicity assay
Lung IMs from PBS control mice versus WGP-trained mice were co-cultured with LLC cells at different ratios in a 96-well plate. The plates were incubated at 37 °C for 16 h. The supernatants were assayed for the release of LDH using the CyQUANT LDH Cytotoxicity Assay Kit (Thermo Fisher, C20300). For the cytotoxicity assay in the presence of Mdivi-1, peritoneal macrophages were in vitro trained with PBS or WGP in the presence of Mdivi-1 (10 μM) or DMSO for 6 d. The macrophages were co-cultured with LLC cells at a ratio of 10:1 followed by use of the LDH assay for cytotoxicity. In another set of experiments, IMs from the lungs of PBS versus WGP-trained mice were co-cultured with LLC cells (10:1 ratio) in the presence of Mito-TEMPO (Sigma-Aldrich) or DMSO in the cytotoxicity assay. For the human monocyte-mediated cytotoxicity assay, monocytes were trained with WGP for 24 h and then rested for 6 d. Control and WGP-trained monocytes were mixed with A549-luciferase-expressing cells at a ratio of 10:1 or 20:1 in round-bottomed 96-well plates and incubated for 16 h at 37 °C. Following incubation, the plates were centrifuged at 493g for 5 min at RT and supernatants were then harvested. The cells were then washed with PBS followed by lysis using 50 μl of 1× reporter lysis buffer (Promega) and incubation for 15–20 mins at −80 °C. The supernatants were harvested after centrifugation of the plates at 493g for 5 min at 4 °C. Around 20 μl of supernatants were mixed with 20 μl of Luciferase Assay Reagent (Promega) and Luciferase activity was measured using a luminometer (Femtomaster FB 12, Zylux). Luciferase values are measured as relative light units (RLUs). The cytotoxicity (%) was calculated using the equation: (experimental RLU − effector spontaneous RLU) / (maximum target RLU − spontaneous target death RLU) × 100.
Mitochondrial reactive oxygen species quantification
Peritoneal macrophages and human monocytes were treated with WGP or S1P with or without Mdivi-1 and incubated at 37 °C for 24 h. The cells were stained with MitoSOX Red dye (5 μM; Invitrogen) at 37 °C for 15 min, and washed with pre-warmed HBSS and PBS at RT. The cells were then stained with viability dye, anti-F4/80 and anti-CD14 for flow cytometry.
Confocal microscopy
Macrophages were cultured on the poly-l-lysine-treated glass coverslips and trained with WGP alone or with Mdivi-1 (10 μM). After 7 d culture, the cells were incubated with TMRM dye (Thermo Fisher Scientific) for 20 min and then fixed with 4% formalin at RT for 20–30 min. After washing thrice with PBS, the glass coverslips were mounted on slides and left overnight to dry at RT or stored at 4 °C protecting from light. The slides were read using a Nikon Confocal microscope. Mitochondrial fragment lengths were measured by counting at least 100 mitochondria per sample using ImageJ.
Transmission electron microscopy
WGP-trained and untrained peritoneal macrophages and human monocytes were washed with PBS, centrifuged at 94g for 10 min, and suspended in 0.1 M phosphate buffer containing 4% paraformaldehyde and 2.5% glutaraldehyde TEM fixative followed by centrifugation and storage at 4 °C for 48 h. The pellets were then stained with osmium tetroxide, washed, dehydrated in increasing ethanol percentages, and embedded with Durcupan resin. The embedded pellets were cut using an ultramicrotome into 80-nm sections and placed on grids. The grids were further stained with uranyl acetate followed by lead citrate and finally imaged using TEM (Hitachi, HT7700).
Detection of p-Drp-1
Peritoneal macrophages and human monocytes were treated with WGP (25 μg ml−1) or S1P (1 μM) for 3–4 h. After incubation, the cells were quickly washed with cold PBS and then fixed with 4% formaldehyde for 15 min at RT and permeabilized using ice-cold 100% methanol on ice for 10 min. The cells were then stained with primary antibody (p-Drp-1; Cell Signaling, 1:50 dilution) for 1 h at RT followed by incubation with anti-rabbit IgG-FITC (BioLegend; 1:300 dilution) for 30 min at RT as instructed in the Cell Signaling phospho-stain protocol. The p-Drp-1 was analyzed using flow cytometry. For western blot, cell lysates were further denatured and ran for SDS–PAGE followed by transfer to PVDF membrane. The membrane was blocked with 5% BSA in Tris buffered saline-Tween for 1 h at RT and incubated with primary anti-Drp-1, p-Drp-1 (Cell Signaling Technology; 1:1,000 dilution) and β-actin (Sigma; 1:5,000 dilution) overnight at 4 °C. The membrane was then incubated with horseradish peroxidase-conjugated secondary antibodies for 1 h at RT. The blots were detected using ECL plus Western Blotting Detection System (Amersham Biosciences, RPN2232).
Sphingosine-1-phosphate quantification
S1P was extracted using a well-established method with minor modifications as described previously53. WGP-trained and untrained peritoneal macrophages or human monocytes (1 × 106) suspended in 400 μl PBS were treated with 1.5 ml of methanol/chloroform at a concentration of 2:1 vol/vol ratio and vortexed for 1 min. Induction of phase separation was then allowed by addition of 500 μl of chloroform to the mixture followed by addition of 500 μl of H2O. The bottom layer was collected and allowed for drying under gentle nitrogen flow. Around 50 μl of methanol/chloroform (1:2 concentration, vol/vol) was added to tubes for final analysis by LC–MS/MS (Waters ACQUITY UPLC Systems with 2D Technology coupled with Waters Xevo TQ-S micro triple quadrupole Mass Spectrometer). Further S1P analysis was performed using multiple reaction monitoring in positive ionization mode.
In vivo treatment with inhibitors
C57BL/6 female mice were i.p. injected with Mdivi-1 (50 mg per kg body weight), or DMSO along with suitable carriers (5% Tween-80 and 40% PEG300) starting at day 0 for 6 d. These mice were also treated with PBS or WGP at day 0. BM and lungs were collected at day 7 for phenotyping using flow cytometry. In the tumor challenge experiment, Mdivi-1/DMSO-treated PBS mice versus WGP-trained mice were i.v. injected with 0.4 × 106 LLC-GFP cells on day 9. Lungs were collected at day 27 for tumor burden analysis. For Sphk2i treatment, C57BL/6 mice were treated with i.p. injection of Sphk2i (50 mg per kg body weight) or DMSO control followed by i.p. injections of PBS or WGP (1 mg) 2–3 h later. The treatments with Sphk2i/DMSO were repeated daily for 4 additional days. Mice were then challenged with LLC-GFP tumor cells 2 d later for tumor burden analysis at day 16.
CyTOF mass cytometry
Lung single-cell suspensions were prepared as described earlier4 and ex vivo stimulated with PMA–ionomycin for 4 h at 37 °C, 5% CO2. The cells were then collected, washed with PBS and transferred to sterile-capped culture tubes. Cells were then stained for viability using 5 μM cisplatin (Fluidigm) in serum-free RPMI 1640 for 5 min at RT and washed with complete RPMI 1640. Cells were stained with the surface marker antibodies for 30 min at RT and washed twice with Maxpar cell staining buffer (Fluidigm) followed by fixation with 1 ml of 1× Maxpar Fix I buffer for 30 min at RT. Upon fixation, cells were washed twice with 2 ml of 1× Maxpar Perm-S buffer for 5 min at 800g, stained for the cytoplasmic/secreted antibodies and incubated for 30 min at RT. Following incubation, cells were washed twice with 1 ml of 1×Maxpar Perm-S buffer for 5 min at 800g. The cells were then suspended in 1 ml of 1× Maxpar nuclear antigen staining buffer (Fluidigm) and incubated for 30 min at RT, washed twice with Maxpar nuclear antigen staining permeability buffer (Fluidigm) at 800g for 5 min each. Cells were stained for nuclear antigens and incubated at RT for 30 min, washed twice with Maxpar nuclear antigen staining permeability buffer and fixed with 1.6% formaldehyde for 10 min at RT. The fixed cells were then centrifuged to remove the formaldehyde at 800g for 5 min and incubated with 125 nM of intercalator iridium (Fluidigm) overnight at 4 °C. After overnight incubation, the cells were washed twice with cell staining buffer, pelleted and kept on ice until acquisition using CyTOF. Before acquisition, cells were suspended in a 1:9 solution of cell acquisition solution: EQ 4 element calibration beads (Fluidigm) and acquired using a Helios CyTOF system. Upon acquisition of the samples, the .FCS files were normalized to .fcs files and the data were then analyzed using FlowJo 10 and the FlowSOM software.
Training CD14+ monocytes in vitro
Monocytes were isolated from peripheral blood using an anti-human CD14-PE antibody (BioLegend, 325606). The monocytes were plated for 4–6 h and then treated with 25 μg ml−1 WGP for 24 h followed by a gentle wash and culture for 6 d. Cells were restimulated with LPS (100 ng ml−1), 40% A549 supernatant or human bronchial epithelial cell supernatant for 24 h. The supernatants were collected for TNF and IL-6 measurement by ELISA (BioLegend, 430201 and 430501). For another set of experiments, the monocytes were treated with Mdivi-1 (10, 20 or 50 μM) during WGP treatment and training period followed by restimulation with LPS. Supernatants were collected for TNF and IL-6 measurement.
In vivo monocytes/A549 admixture experiments
Six-week-old NSG mice were orthotopically implanted with an admixture of A549-luciferese cells (5 × 104 cells per mouse) with control or WGP-trained CD14+ monocytes (1:5 ratio) in Matrigel into the lungs. Three weeks after tumor implantation, mice were i.p. injected with d-lucferin (XenoLight d-Luciferin-K + Salt Bioluminescent Substrate, Perkin Elmer) for bioluminescence imaging using a Biospace Lab Photon Imager.
In vivo whole beta-glucan particle training with Mdivi-1 and BMDM restimulation
Mice were trained with WGP (1 mg) on day 0 followed by daily injections of vehicle control (DMSO in 5% Tween-80 and 40% PEG300) or Mdivi-1 until day 5. BM cells were collected 2 d later and polarized to BMDMs. The BMDMs were restimulated with LPS (100 ng ml−1) or LLC supernatant (10%) for 24 h for TNF measurement.
Seahorse XF cell Mito stress test
In vitro WGP-trained or untrained BMDMs with Mdivi-1 or vehicle control were subjected to a Mito stress test to measure the bioenergetic function. Briefly, untrained and WGP-trained BMDMs cultured in the presence of Mdivi-1 or DMSO were added with unbuffered RPMI medium (RPMI, pH 7.4) supplemented with 2 mM l-glutamine, 10 mM glucose and 1 mM pyruvate 1 h before the assay. A Seahorse XF Cell Mito Stress Test Kit (Agilent Technologies, 103015–100) was used and the final concentrations of oligomycin (port A), FCCP (port B) and antimycin A/rotenone (port C) were 1.5 μM, 2 μM, and 0.5 μM, respectively (Agilent Technologies). The bioenergetic measurements were then measured per the manufacturer’s instruction.
Adoptive transfer of bone marrow-derived macrophages
BMDMs were trained with WGP and Mdivi-1 or DMSO, and then adoptively transferred to WT mice (1 × 106) twice, 3 d apart. Three days later, recipient mice were challenged with LLC-GFP cells. Mice were euthanized at day 21 after tumor challenge to analyze tumor burden and T cell phenotype. In another protocol, C57BL/6 mice were first inoculated with LLC-GFP tumor cells on day 0. On days 3 and 6, mice received WGP-trained or untrained BMDMs (total 2 × 106). Mice were euthanized at day 16 to analyze the tumor burden.
Statistical analysis
For all animal studies, age-matched and sex-matched mice were randomly assigned to groups. No statistical method was used to predetermine sample size. Investigators were not blinded to sample identity and conditions of the experiment. Results are represented as the mean ± s.e.m. Data distribution was assumed to be normal, but this was not formally tested. No data were excluded from the analyses. Data were analyzed using a two-tailed Student’s t-test or Mann–Whitney U-test. Multiple-group comparisons were performed using a one-way or two-way ANOVA followed by Tukey’s multiple-comparisons test. Survival data were analyzed using the Kaplan–Meier method. Statistical significance was set at P < 0.05. All statistical analyses were performed using Prism version 8 (GraphPad).
Extended Data
Supplementary Material
Acknowledgements
The authors thank W. Zacharias, M. Zhang and S. Waigel from the Brown Cancer Center Genomics Facility for their help in RNA-seq. GFP-dectin-1-expressing RAW 264.7 cells were kindly provided by D. Underhill from Cedars-Sinai Medical Center. This work was supported by the NIH grants R01CA213990 and R01AI128818 (to J.Y.). C.D., D.T. and E.C.R. were supported in part by the NIH grant P20GM135004. W.L. and Y.Y. were supported by NIH grant R35GM124918. H.W. and X.G.X. were supported by NSF CHE 1847765 and a Beckman Young Investigator Award from the Arnold and Mabel Beckman Foundation. Part of this work was performed with assistance of the UofL Genomics Facility, which is supported by NIH P20GM103436 (KY IDeA Networks of Biomedical Research Excellence), the Brown Cancer Center and user fees. Sequencing and bioinformatics support for this work was provided by NIH P20GM103436 (N. Cooper, Principal Investigator) and NIH P20GM106396 (D. Miller, Principal Investigator). The contents of this work are solely the responsibility of the authors and do not represent the official views of the NIH or the National Institute for General Medical Sciences (NIGMS).
Footnotes
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Online content
Any methods, additional references, Nature Portfolio reporting summaries, source data, extended data, supplementary information, acknowledgements, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at https://doi.org/10.1038/s41590-022-01388-8.
Competing interests
The authors declare no competing interests.
Extended data is available for this paper at https://doi.org/10.1038/s41590-022-01388-8.
Supplementary information The online version contains supplementary material available at https://doi.org/10.1038/s41590-022-01388-8.
Data availability
RNA-seq data are available at the GEO under accession GSE195750. Source data are provided with this paper.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
RNA-seq data are available at the GEO under accession GSE195750. Source data are provided with this paper.