Abstract
High-fat diet (HFD) promotes lung pre-metastatic niche formation and metastasis. Thus, there is an urgent need to identify the underlying mechanisms and develop strategies to overcome them. Here we demonstrate that glycyrrhizic acid (GA) prevents HFD-enhanced pre-metastatic niche formation and metastasis through gut microbiota. GA reduced HFD-enhanced myeloid-derived suppressor cell recruitment, pro-metastatic protein S100A8/A9 expression and metastasis burden of 4T1 breast cancer and B16F10 melanoma, accompanied by gut microbiota alteration and colonic macrophage polarization far away the M1-like phenotype. These parameters were greatly decreased by treatment with antibiotics, recolonization of Desulfovibrio vulgaris and Clostridium sordellii, and administration of lipopolysaccharide or deoxycholic acid. Macrophage depletion attenuated HFD-enhanced pre-metastatic niche formation and metastasis, but failed to further affect the effects of GA. Mechanistically, counteraction of HFD-enhanced gut microbiota dysbiosis by GA inhibited Gr-1+ myeloid cell migration and S100A8/A9 expression through decreasing the proportion of M1-like macrophages and their production of CCL2 and TNF-α in the colons via LPS/HMGB1/NF-κB signaling inactivation. Together, targeting the gut microbiota by GA to modulate colonic macrophages could be a novel strategy for the prevention of HFD-enhanced pre-metastatic niche formation and metastasis.
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Introduction
Tumor metastasis is responsible for 90% of cancer-related mortality.1 The tumor-derived factors including tumor necrosis factor-α (TNF-α) and CC chemokine ligand 2 (CCL2) induce the supportive metastatic environments in the secondary sites before arrival of tumor cells, termed as the pre-metastatic niche.2 The recruitment of bone marrow-derived cells such as myeloid-derived suppressor cells (MDSCs) and CD11b+ myeloid cells initiates the pre-metastatic niches and thereby greatly increases the possibility of metastasis.3 Targeting the pre-metastatic niche-promoting molecules or cellar components may be an attractive approach for prevention of metastasis.4
Obesity is a risk factor for breast cancers, advanced malignant melanoma and colorectal carcinoma.5 Diet-induced obesity is increased dramatically over the past three decades in both developed and developing countries, and globally the fifth major cause of mortality.6 Prolonged high-fat diet (HFD) feeding induced obesity, and associated with the increased incidence or mortality for breast cancer and melanoma in addition to gastrointestinal tumors in murine models.7,8 HFD increases growth and metastasis of 4T1 mammary carcinoma and melanoma.9,10 HFD-induced obesity in C57BL/6 mice promotes breast cancer metastasis through lung pre-metastatic niche formation.11 However, the role of HFD in pre-metastatic niche formation has only begun to be appreciated.
HFD-induced changes in the composition of gut bacterial community contribute to intestinal carcinogenesis.12 The fecal microbiota from the patients with colorectal cancer promotes tumorigenesis in germ-free mice and carcinogen-treated mice, accompanied with the upregulation of tumor invasiveness and metastasis related-genes.13 The gut microbiota promotes liver metastasis through translocation of bacterial to the metastatic site.14 Modulation of gut microbiota by probiotics suppresses hepatocellular carcinoma growth.15 Bacterial lipopolysaccharide (LPS)-induced inflammation increases melanoma lung metastasis,16 and gut microbial metabolite deoxycholic acid (DCA) promotes hepatocellular carcinoma development.17 Thus, downregulation of LPS and DCA from gut microbiota may be potential therapeutic strategies for HFD-enhanced metastasis.
The macrophage is one of the most abundant leukocytes in the intestines of mammals.18 The recruitment of macrophages into lung pre-metastatic niche contributes to HFD-enhanced breast cancer metastasis.19 Functionally differentiated macrophages are commonly subdivided into two categories, the classically activated M1-like phenotype, which produces pro-inflammatory factors and anti-tumor response, and the alternatively activated M2-like phenotype, which produces anti-inflammatory factors and pro-tumor process.20 Recent studies show that the M1-like macrophages enhance metastatic potential of colon, hepatocellular, and ovarian cancer cells.21,22,23 The high-mobility group box (HMGB1) contributes to melanoma growth and lung metastasis formation, and the release of HMGB1 induced by LPS facilitates M1-like phenotype through the nuclear factor kappa B (NF-κB) signaling.24,25 Gut dysbiosis induced by a maternal western-style diet (high fat and high sugar) polarizes bone marrow-derived macrophages to an inflammatory state.26 However, whether modulation of the macrophage response by reshaping gut microbiota prevents pre-metastatic niche formation and metastasis is not fully understood.
Saponins, a novel type of plant-derived secondary metabolites, modulate gut microbiota composition and exhibit anti-metastasis activities in multiple tumors including lung adenocarcinoma, hepatocellular carcinoma, and leukemia.27,28 Glycyrrhizic acid (GA), a triterpenoid saponin glycoside from the licorice roots, inhibits tumor growth and B16 melanoma pulmonary metastasis.29,30 GA also ameliorates HFD-induced obesity and non-alcoholic fatty liver disease in murine models.31,32 GA exhibits the anti-inflammatory properties and tissue protective properties by binding to HMGB1 and inhibiting its cytokine activities.33 However, to date, whether GA prevents HFD-mediated gut dysbiosis and pre-metastatic niche formation has not been reported. Here, we demonstrated that modulation of gut microbiota by GA prevents HFD-enhanced pre-metastatic niche formation and metastasis through decreasing M1-like colonic macrophages via LPS/HMGB1/NF-κB signaling. Our results may provide a potential therapeutic strategy for prevention of metastasis.
Results
GA inhibits HFD-enhanced lung pre-metastatic niche formation, and thus prevents metastasis
We first investigated whether GA prevents HFD-mediated metastasis on day 28 after implantation of tumor cells to the HFD-fed mice. As shown in Fig. 1a and b, the lung luciferase intensity and metastatic nodules of 4T1 breast cancer or B16F10 melanoma cells were significantly increased in the HFD-fed mice as compared with the control. Conversely, GA (10 and 20 mg/kg) decreased lung luciferase intensity and metastatic nodules in the HFD-fed mice. Next, we measured the effects of GA on the expression of pro-metastatic proteins and the infiltration of MDSCs in the pre-metastatic lungs from the HFD-treated mice. As shown in Fig. 1c, pro-metastatic proteins matrix metalloproteinase-9 (MMP-9) and S100A8/A9 in the lungs from the HFD-treated mice were significantly upregulated as compared with the control diet mice. Conversely, GA (10 and 20 mg/kg) significantly inhibited MMP-9 and S100A8/A9 expression in the lungs. Furthermore, HFD significantly elevated the percentage of CD11b+Ly6G+ granulocytic MDSCs (G-MDSCs) and CD11b+Ly6C+ monocytic MDSCs (M-MDSCs) in the lungs, which were inhibited by GA (Fig. 1d, e). We found that the arginase activity of the Gr-1+ MDSCs in the lung was significantly increased by the HFD, but decreased by the GA (Fig. 1f). The percent of CD8+ T cells in the lungs was lower in the HFD-fed mice than in the control mice, whereas, the percent of CD8+ T cells was higher in the GA-treated mice than in the HFD-fed mice (Fig. 1g). We performed co-culture experiments of the Gr-1+ MDSCs from the lungs of HFD and GA-fed mice with the CD8+ T cells, and found that Gzm B, IFN-γ, and IL-2 production in the CD8+ T cells was decreased by the Gr-1+ MDSCs from the HFD-fed mice, but increased by the Gr-1+ MDSCs from the GA-fed mice (Fig. 1h). We monitored the body weights and food intake of all mice throughout the study, and found that the HFD increased body weight and food intake of mice, which were not affected by the GA (Fig. 1i, j). Similar results were obtained in the C57BL/6 mice (Fig. S1).
Modulation of gut microbiota by GA prevents HFD-induced pre-metastatic niche formation and metastasis
To investigate whether GA modulates HFD-mediated gut microbiota dysbiosis, we sequenced the 16S bacterial gene. UniFrac-based principal coordinates analysis revealed obvious difference in a distinct clustering of fecal microbial structure among the control, HFD and GA groups (Fig. 2a). This was further supported by the obvious different abundance of bacterial phyla among the three groups (Fig. 2b). The linear discriminant analysis effect size (LEfSe) showed that Clostridiales order and Desulfovibrio genus predominantly acted to HFD-mediated gut microbiota dysbiosis (Fig. 2c, d). Conversely, GA significantly decreased Clostridiales order and Desulfovibrio genus in the HFD-treated mice (Fig. S3A). LPS and DCA levels in the feces and peripheral blood were significantly increased by the HFD but decreased by the GA (Fig. 2e and S2A-B). The ratio between Firmicutes and Bacteroidetes, a marker of gut dysbiosis, was also increased by the HFD but reduced by the GA (Fig. 2f). To clarify whether gut microbiota is crucial for the effects of GA on HFD-induced pre-metastatic niche formation and metastasis, we used a cocktail of broad-spectrum antibiotics (Abx) to deplete gut microbiota. qPCR analysis of total bacterial 16S rRNA genes confirmed the antibacterial efficacy of Abx (Fig. 3a, b). As we expected, Abx treatment attenuated the effects of HFD and GA on the levels of LPS and DCA in the feces and peripheral blood, the infiltration of MDSCs and the number of metastatic nodules in the lungs (Fig. 3c–f). These finding indicates that GA decreases LPS and DCA levels in the feces and peripheral blood through the gut microbiota.
Desulfovibrio vulgaris (Des) is the predominant specie of Desulfovibrio genus in the human and mice colon,34,35 and Clostridium sordellii (Clo) composes the main DCA-producing strain in the HFD mice.17 We found that Des plus Clo were significantly increased by the HFD but decreased by the GA (Fig. S3A). To demonstrate directly that Des plus Clo are the main driver of pre-metastatic niche formation and metastasis, we colonized the Des plus Clo into the Balb/c mice (Fig. 3g). Colonization of Des plus Clo was confirmed by qPCR (Fig. S3B). As shown in Fig. 3h–l, the colonization of Des plus Clo elevated the levels of LPS and DCA in the feces and peripheral blood, promoted the infiltration of MDSCs and increased the number of metastatic nodules in the lungs.
GA regulates HFD-mediated alteration in colonic macrophage phenotype
We found that HFD induced much higher gene expression levels of iNOS and CXCL9 (M1 markers) and slightly higher gene expression levels of arginase-1 and CD206 (M2 markers) in the macrophage of colon (Fig. 4a, b). Conversely, GA significantly decreased iNOS and CXCL9 levels, and tended to inhibit the mRNA expression of arginase-1 and CD206 though the difference did not reach significance (Fig. 4a, b). CD68+ is commonly used as a macrophage marker in the colon.36,37 HFD elevated CD68+iNOS+ (M1-like) macrophages (about 3.5-fold) and CD68+CD206+ (M2-like) macrophages (about 2.0-fold) in the colons. Conversely, GA (20 mg/kg) significantly decreased M1-like macrophages, and tended to inhibit M2-like macrophage in the colons though the difference did not reach significance (Fig. 4c–e). Next, we measured the cytokines in the macrophage of colon, and found that the production of M1 cytokines (TNF-α and CCL2) and M2 cytokine (TGF-β) were significantly elevated by the HFD but attenuated by the GA, while HFD and GA did not affect IL-10 (M2 cytokine) level (Fig. 4f, g). The release of HMGB1 induced by LPS facilitates M1-like phenotype.25 We found that the HMGB1 level in the peripheral blood was significantly increased by the HFD but decreased by the GA (Fig. 4h).
GA-modulated gut microbiota alters macrophage phenotypes and their production of cytokines
Next, we transferred the commercially available cocktail of Des plus Clo, or supplemented 0.2% DCA or LPS (300 μg/kg) into the GA-treated mice (Fig. 5a). Colonization of Des plus Clo was confirmed by qPCR (Fig. S4A). Des plus Clo increased LPS and DCA levels in the feces and peripheral blood (Fig. 5b and S4B). Administration of Des plus Clo, LPS and DCA induced HMGB1 translocation from nucleus to cytoplasm (Fig. 5c, d). Des plus Clo induced the expression of M1 markers (iNOS and CXCL9) without significantly influencing the expression of M2 markers (arginase-1 and CD206) (Fig. 5e). Furthermore, LPS increased iNOS and CXCL9 levels and DCA increased iNOS and arginase-1, CD206 levels (Fig. 5e). We observed the similar alteration in the proportion of CD68+iNOS+ (M1-like) and CD68+CD206+ (M2-like) colonic macrophages by immunofluorescence (Fig. 5f). The supplementation of Des plus Clo, DCA or LPS increased the protein levels of pro-metastatic proteins (MMP-9 and S100A8/A9), the percentage of MDSCs (G-MDSCs and M-MDSCs) and the number of lung metastatic nodules (Fig. 5g, h).
Next, we determined the in vitro effects of the fecal extracts on the macrophage phenotype. As shown in Fig. 6a and b, the fecal extracts from the HFD-fed mice significantly increased production of M1 cytokines (TNF-α and CCL2) and M2 cytokines (TGF-β and IL-10) in the RAW264.7 and THP-1 macrophages. Conversely, the fecal extracts from the GA-treated mice inhibited secretion of M1 cytokines without significantly influencing M2 cytokines. Consistently, the percent of M1-like macrophages was significantly increased by the fecal extracts from the HFD-fed mice, but attenuated by the fecal extracts from the GA-treated mice (Fig. 6c).
Modulation of colonic macrophage phenotype by GA prevents HFD-enhanced pre-metastatic niche formation and metastasis
To clarify whether GA reprograms macrophage and thus prevents HFD-induced pre-metastatic niche formation and metastasis, we depleted macrophage by anti-CSF-1 antibody (IgG as control), and compared their effects on the HFD mice (containing more M1-like macrophages in the colons) with the GA-treated mice (containing less M1-like macrophages in the colons). Immunohistochemical analysis of CD68+ macrophages showed depletion of colonic macrophages by anti-CSF-1 antibody (Fig. 7a). Depletion of macrophages significantly decreased pre-metastatic niche formation (evidenced by a decrease in the MDSC recruitment and pro-metastatic protein expression) and the number of metastatic nodules in the lungs from the HFD-fed mice (Fig. 7b–g), indicating that M1-like colonic macrophages promoted pre-metastatic niche formation and metastasis. However, macrophage depletion failed to further affect the inhibitory effects of GA on lung pre-metastatic niche formation and metastasis, indicating that GA regulated this process primarily through skewing colonic macrophages far from M1 phenotype.
Colonic macrophage-derived factors regulated by GA inhibit pre-metastatic niche formation
Next, we determined whether colonic macrophage-derived cytokines could have a substantial impact on in vitro myeloid cell migration and S100A8/A9 expression, crucial steps for pre-metastatic niche formation.36 As shown in Fig. 8a, the conditioned media (CM) from colonic macrophages in the HFD-fed mice (HFD-CM) significantly increased the migration of Gr-1+ myeloid cells. Conversely, the CM from colonic macrophages in the GA (10 and 20 mg/kg)-treated mice (GA-CM) significantly inhibited the migration of Gr-1+ myeloid cells. HFD-CM increased the arginase activity of Gr-1+ myeloid cells but decreased CD8+ T cell proliferation, while GA-CM decreased the arginase activity but increased CD8+ T cell proliferation (Fig. 8b, c). Additionally, Gzm B, IFN-γ and IL-2 production was decreased by the HFD-CM but increased by the GA-CM (Fig. 8d). S100A8 and S100A9 expression in the lungs were induced by the HFD-CM but inhibited by the GA-CM (Fig. 8e). Exogenous addition of CCL2 and TNF-α attenuated the inhibitory effect of the GA-CM on Gr-1+ myeloid cell migration (Fig. 8f). The inhibition of S100A8 and S100A9 expression in the lungs by the GA-CM was partially reversed by exogenous addition of TNF-α but not CCL2 (Fig. 8g).
LPS/HMGB1/NF-κB signaling is crucial for prevention of pre-metastatic niche formation by GA
Next, we measured NF-κB signaling in colonic macrophages, and found that the IκBα expression was lower in the colonic macrophages from the HFD-fed mice but higher in that from the GA-treated mice. In contrast, p-p65 expression was higher in the macrophages of colon from the GA-treated but lower in that from the HFD-fed mice (Fig. 9a). Similar results of western blotting were observed in the RAW264.7 or THP-1 macrophages treated with the fecal extracts from the mice of the control diet, HFD and HFD plus GA (10 and 20 mg/kg) (Fig. 9b, c). Immunofluorescence showed that p65 nuclear translocation was increased by the fecal extracts from the HFD-fed mice, but attenuated by the fecal extracts from the GA-treated mice (Fig. 9d). The release of HMGB1 induced by LPS facilitated M1-like phenotype through the NF-κB signaling.25 We found that HMGB1 translocation was increased by the fecal extracts from the HFD-fed mice, but decreased by the fecal extracts from the GA-treated mice (Fig. 9e, f). Next, we measured whether HFD promoted NF-κB signaling through HMGB1. As shown in Fig. 9g, exogenous addition of LPS in the RAW264.7 or THP-1 macrophages increased the p-p65 expression but decreased the IκBα expression, which were attenuated by HMGB1 siRNA. Transfection with IκBα siRNA in the RAW264.7 and THP-1 macrophages attenuated the decrease in CCL2 and TNF-α production and Gr-1+ myeloid cell migration mediated by the fecal extracts from the GA-treated mice (Fig. 9h, i).
Discussion
In the present study, we have provided direct evidence that modulation of gut microbiota by GA suppresses HFD-enhanced pre-metastatic niche formation, and thereby prevents metastasis of 4T1 breast cancer and B16F10 melanoma. To our knowledge, this is the first study that directly demonstrated the key role of gut microbiota in pre-metastatic niche formation. In addition, we have demonstrated for the first time that modulation of gut microbiota by GA reprograms colonic macrophages via LPS/HMGB1/NF-κB signaling. Thus, targeting gut microbiota to modulate colonic macrophage response could be a novel strategy for the prevention of pre-metastatic niche formation and metastasis.
HFD contributes to pre-metastatic niche formation and metastasis.19 Elimination of pre-metastatic niches prevents tumor metastasis.4 The saponin exerts significant anti-metastasis activities in multiple tumors including melanoma.37 GA, a triterpenoid saponin glycoside from the licorice roots, inhibits B16 melanoma pulmonary metastasis.30 Here we demonstrated that GA (10 and 20 mg/kg) prevented HFD-enhanced lung metastasis through inhibiting pre-metastatic niche formation (evidenced by a decrease in the recruitment of MDSCs and the expression of pro-metastatic proteins). Previous study showed that administration of GA (200 mg/kg/d) to mice for 96 w does not provide any evidence of chronic toxicity or tumorigenicity,38 suggesting that GA prevents HFD-enhanced pre-metastatic niche formation and metastasis with little side effects. Given that tumor-derived cytokines foster tumor growth and metastasis,39 further experiments should be performed to elucidate whether GA inhibits pre-metastatic niche formation and metastasis by targeting tumor microenvironment.
DCA, a kind of secondary bile acids, promotes hepatocellular carcinoma development.17 LPS, the major component of gram-negative bacteria cell wall, promotes liver metastasis from colorectal cancer.16 Saponins regulate gut microbiota composition and alleviate intestinal inflammatory environment.28 Here we demonstrated that HFD increased the abundance of Desulfovibrio genus and clostridiales order, and elevated the levels of LPS and DCA in the feces and serums. Conversely, GA modulated gut microbiota and decreased the levels of LPS and DCA in the feces, and thereby prevented pre-metastatic niche formation and metastasis. Very recently, a study showed that the gut microbiota promotes liver metastasis through translocation of bacterial to the metastatic site.14 Further studies could be performed to confirm whether GA inhibits HFD-enhanced pre-metastatic niche formation and metastasis through microbiota translocation.
There are growing evidences suggesting that M1-like macrophages enhance metastatic potential of colon, hepatocellular and ovarian cancer cells.21,22,23 The colonic M1 macrophage is regulated by gut microbiota and its metabolites,40 indicating their possible roles in metastasis. Here we demonstrated that HFD activated macrophages in the colons into M1/M2 mixture states with the predominated M1 characteristics. Conversely, GA primarily decreased M1-like macrophages in the colons and then inhibited HFD-enhanced lung pre-metastatic niche formation and metastasis. A previous study showed that anti-inflammatory (M2), but not pro-inflammatory (M1) macrophages promote tumor metastasis.41 This discrepancy could be due to differences of pathological conditions (HFD-induce inflammation versus tumor-associated inflammation) and the different niches (colon versus tumor). A variety of tumor-derived factors including CCL2 and TNF-α have been shown to drive the pre-metastatic niche formation.2 However, almost nothing has been done on the possible role of colonic macrophages derived cytokines in initiating the process. We demonstrated that the decreased M1 cytokines (CCL2 and TNF-α) from the macrophages in the colons by modulating gut microbiota inhibited pre-metastatic niche formation and metastasis. Previous studies showed that iNOS is commonly used as a marker of recruited macrophages,42 and CCL2 is a key molecule for recruitment of pro-inflammatory macrophages in colon.18 Therefore, further studies should be performed to investigate whether newly recruited macrophages not resident macrophages are the major composition of pro-inflammatory M1-like macrophages in the colon from the HFD-fed mice.
The crucial roles of NF-κB in inflammatory process and tumor metastasis have been well documented.43 The inhibition of NF-κB signaling exerts anti-metastasis activity.43 We demonstrated that HFD activated NF-κB in M1-like macrophages through gut microbiota-derived LPS. Conversely, GA decreased p-p65 level and p65 nuclear translocation. Importantly, NF-κB overexpression by silence of IκBα partly reversed the effects of GA on production of CCL2 and TNF-α and migration of Gr-1+ myeloid cells. Additionally, HMGB1 contributes to melanoma growth and lung metastasis formation.24 GA exerts the anti-flammatory properties partly through directly binding to HMGB1.33 We demonstrated that GA downregulated microbiota-derived LPS, and thereby inhibited HMGB1 release and greatly inactivated NF-κB. These data suggest that the GA prevents lung pre-metastatic niche formation through gut microbiota-drived LPS/HMGB1/NF-κB signaling in colonic macrophages.
In conclusion, improvement of HFD-mediated gut microbiota dysbiosis by GA prevents pre-metastatic niche formation and metastasis through reprogramming M1-like macrophages in the colons via LPS/HMGB1/NF-κB signaling (Fig. 10). Importantly, our study identifies previously unknown role of HFD-mediated gut microbiota dysbiosis in pre-metastatic niche formation. Our findings may serve as a potential therapeutic strategy for prevention of pre-metastatic niche formation and metastasis.
Materials and methods
Chemicals and reagents
GA (G111375) with high purity (≥98%) was purchased from Aladdin. DCA (D2510) with purity >98% and LPS (L2880) were purchased from Sigma-Aldrich. Antibodies against CD206 (ab64693), CD68 (ab955), S100A8 (ab180735), S100A9 (ab92507), IκBα (ab7217), HMGB1 (ab79823), GAPDH (ab181602), Lamin B1 (ab133741), Gzm B (ab134933), IL-2 (ab92381), IFN-γ (ab9657), p-p65 (ab28856), p65 (ab16502), and β-actin (ab8226) were purchased from Abcam. Antibodies against MMP-9 (sc-13520) and iNOS (sc-651) were purchased from Santa Cruz Biotechnology. Mouse TNF-α (410-MT-010) and CCL2 (479-JE-010) were purchased from R&D Systems.
Animal models and treatment regimes
Specific pathogen-free Balb/c mice (female, 3 to 4 weeks old) and C57BL/6 mice (male, 3 to 4 weeks old) were purchased from Center for Disease Control and Prevention (Hubei, China). All animal experiments were performed in accordance with the policies of the animal ethics committee of the Animal Research Committee of Wuhan University, and maintained in accordance with the guidelines by the Association for Assessment and Accreditation of Laboratory Animal Care International. All animals were housed at room temperature (18–22 °C) with free access to drinking water under a 12-h light/12-h dark cycle. The mice were fed purified diets (Research Diets Inc.): HFD (D12451) containing 45 kcal% as fat or the control diet (D12450B) with 10 kcal% as fat and were caged individually to avoid cage effects. The two diets contained identical quantities of protein, cellulose, soybean oil, vitamins, and minerals per kilocalorie, and only lard and carbohydrates varied between the two diets. The diets were stored at −20 °C and fresh diet was provided daily to allow the mice free access to feed. The body weight and food intake was monitored throughout the study.
For pre-metastatic niche formation experiment, Balb/c mice and C57BL/6 mice were fed HFD and treated with GA (10 and 20 mg/kg, i.g., qd × 5 days per w) or vehicle for 12 w, respectively. The doses of GA used in the present study were based on the published studies44 and our preliminary experiments. The mice in the control group were fed the control diet. The lungs, colon, and feces were harvested and analyzed. For spontaneous metastasis experiment, after the HFD or control diet treatment for 12 w, 4T1-luciferase cells (1 × 106) or B16F10-luciferase cells (5 × 105) were injected to the right mammary fat pad of Balb/c mice and the armpit of C57BL/6 mice, respectively. The mice were killed on day 28 after tumor inoculation, and the lungs were collected and analyzed. Lung metastasis was measured by hematoxylin/eosin staining. Pulmonary metastatic nodules were counted in three sections. Lung metastasis was also detected by ex vivo luciferase-based noninvasive bioluminescence imaging system (In-Vivo Xtreme II, Bruker). The lung images were analyzed by quantification of total photon flux of each lung using Molecular Imaging Software.
For antibiotic treatment, the Balb/c mice were received HFD plus GA (20 mg/kg) or vehicle for 12 w, and then treated with a mixture of 0.5 g/l vancomycin, 0.5 g/l neomycin sulfate and 0.5 g/l primaxin in the drinking water for 3 w, which was refreshed every 2 d.45 After antibiotic treatment, the mice were killed, and the lungs and feces were harvested and analyzed. Alternatively, 4T1-luciferase breast cancer cells (2 × 105) were injected via vein, lung metastasis was measured on day 14.
Bacteria administration and metabolite supplementation were performed as described.46,47 Briefly, a cocktail of lyophilized Desulfovibrio vulgaris (ATCC 29579) plus Clostridium sordellii (ATCC 9714) (1:1) was resuspended in phosphate-buffered saline (PBS) at 5 × 109 CFU/ml. Each mouse was given 200 μl of cocktail (1 × 109 CFU/mouse) twice a week by oral gavage. The Balb/c mice fed HFD plus GA (20 mg/kg) were gavaged with bacterial suspension, or supplemented 0.2% DCA in drinking water, or injected intraperitoneally LPS (300 μg/kg) or vehicle at 1 w. One of the batches was killed after 12 w, the feces, colons and lungs were collected and analyzed. The remaining mice were injected with 4T1-luciferase breast cancer cells (2 × 105) via vein, and lung metastasis was measured on day 14.
Macrophages depletion experiment was established as previously described.48 Briefly, the Balb/c mice were administrated intraperitoneally with 50 mg/kg anti-CSF-1 antibody (BioXCell, BE0204) 24 h before the HFD, followed by repeated injections of 25 mg/kg every 5 d. After HFD with or without GA (20 mg/kg) for 12 w, the colons and lungs were collected and analyzed. The remaining mice were injected with 4T1-luciferase breast cancer cells (2 × 105) via vein, and lung metastasis was measured on day 14.
Fecal microbiota analysis by 16s rRNA sequencing
Fecal microbiota was analyzed by 16s rRNA sequencing as described previously.49 Briefly, fecal samples from the mice treated with the control diet, HFD and HFD plus GA (20 mg/kg) were freshly collected and immediately frozen in liquidnitrogen. Genomic DNA was isolated from 200 mg frozen fecal samples using a QIAamp DNA Stool Mini Kit (51504, QIAGEN) according to the manufacturer’s instructions. Genomic DNA was then amplified in 50 μl triplicate reactions with bacterial 16s rRNA gene (V3–V5 region)-specific primers: 338 F (5′-ACTCCTACGGGAGGCAGCAG-3′) and 806R (5′-GGACTACHVGGGTWTCTAAT-3′). PCR products were purified and the concentrations were adjusted for sequencing on an Illumina Miseq PE300 system (OEbiotech Co., Ltd.). Paired-end sequences were merged to give an optimal alignment (overlap length ≥ 10 bp, mismatch proportion ≤ 20%). As an added quality control measure, the software package MacQIIME (version 1.9.1) pipeline was used to filter out and discard poor-quality reads using the default settings. Sequences were further clustered into OTUs (Operational Taxonomic Units or phylotypes) at 97% of identity using QIIME and cdhit. OTUs were assigned to closest taxonomic neighbors and relative bacterial species using Seqmatch and Blastall. Relative abundance of each OTUs and other taxonomic levels (from phylum to genus) was calculated for each sample to account for different levels of sampling across multiple individuals. Principle Coordinate Analysis (PCoA) projections were visualized using Emperor 0.9.4. To find out the highly-dimensional gut microbes and characterize the differences between two or more biological conditions, we performed the linear discriminant analysis (LDA) effect size (LEfSe) analysis.
Statistical analysis
The values were expressed as mean ± SEM, and statistical analyses were performed using a one-way ANOVA followed by the Student–Newman–Keuls test. The data of microbiome abundance were analyzed by by nonparametric Mann–Whitney U test correcting for multiple comparisons. P-values of 0.05 or less were considered significant.
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Acknowledgements
This work was partly supported by the National Natural Science Foundation of China [Grant nos. 81872443, 81272464, and 81173089 (to Jing Yang)].
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M.Q., K.H. and J.Y. conceived and designed the study and wrote the manuscript; M.Q., K.H. and Y.L. performed most of the experiments and analyzed the data; Y.Y., H.T., X.L., C.W. and H.C. conducted animal breeding and sample collection. Y.X. and J.Z. contributed to the statistical analyses. All the authors reviewed the manuscript.
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Qiu, M., Huang, K., Liu, Y. et al. Modulation of intestinal microbiota by glycyrrhizic acid prevents high-fat diet-enhanced pre-metastatic niche formation and metastasis. Mucosal Immunol 12, 945–957 (2019). https://doi.org/10.1038/s41385-019-0144-6
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DOI: https://doi.org/10.1038/s41385-019-0144-6
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