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The fiber metabolite butyrate reduces gp130 by targeting TRAF5 in colorectal cancer cells
Cancer Cell International volume 20, Article number: 212 (2020)
Dietary fiber is effective for colorectal cancer (CRC) treatment. Interleukin-6 (IL-6) and its adaptors are potential targets for CRC therapy. Butyrate, a metabolite of dietary fiber, is a new, highly safe type of targeted drug.
In this study, Cell Counting Kit-8 cell viability and wound healing assays, western blot analysis, immunofluorescence staining, and xenograft tumor mouse models were used to evaluate the anticancer effect of butyrate and its possible mechanism in vivo and in vitro.
Dietary fiber and sodium butyrate (NaB) decreased CRC burden by decreasing IL-6 receptor gp130 and blocking IL-6/JAK2/STAT3 axis activation in vitro and in vivo. Furthermore, NaB reduced the gp130 protein level by regulating its degradation rate via targeting TRAF5.
The fiber metabolite butyrate inhibits CRC development by reducing gp130 via TRAF5.
Colorectal cancer (CRC) is among the most common cancers worldwide [1,2,3]. Genetic factors, dietary habits, lifestyle, and inflammation are related to the occurrence of CRC [4,5,6,7]. In recent years, the morbidity of CRC has continued to rise, and the age of CRC patients has tended to be younger because of changes in people’s dietary habits and dietary structure [8, 9]. Although the five-year survival rate of CRC patients has increased significantly because of the extensive application of screening, surgery, chemoradiotherapy, and other treatment methods, the sequelae of surgical treatment and side effects caused by chemoradiotherapy render the prognosis of CRC unsatisfactory [10, 11]. Therefore, more efficient and safer therapeutic approaches for CRC are needed.
Accumulating evidence indicates that dietary adjustment is an important approach to prevent and treat CRC [12,13,14]. A study by Song et al. found that the consumption of a large amount of dietary fiber can reduce the mortality of CRC patients and confer extra benefits to them . In addition, gut microbiota was also involved in this process . After entering the intestinal tract, the gut microbiota decompose dietary fiber into short-chain fatty acids (SCFAs), including butyric acid, a short-chain fatty acid [17, 18]. Butyric acid can inhibit inflammatory reactions and apoptosis and also regulate the gut microecology . O’Keefe et al. reported that CRC patients lacking butyrate-producing Clostridium species in the gut microbiota tend to have poor prognoses, suggesting that butyric acid may be related to the prognosis of CRC . In addition, several studies have shown that butyrate can induce the apoptosis and differentiation and inhibit the proliferation of CRC cells. The proposed mechanisms include the functions of butyrate as a histone deacetylase (HDAC) inhibitor and DNA methylation inhibitor, among others [21,22,23]. However, the mechanism by which butyrate prevents and treats CRC has not yet been fully elucidated.
Dysregulation of several key signaling molecules is related to the occurrence and development of CRC, especially Interleukin-6 (IL-6) [24, 25]. IL-6 is a multifunctional cytokine, and its dysfunction and abnormal expression often lead to disease [26, 27]. Kim et al. revealed that serum IL-6 levels were significantly increased in CRC patients and that serum IL-6 levels were positively correlated with the mortality and prognosis of CRC . IL-6 exerts its biological effects by binding to its receptors, the IL-6 α receptor (glycoprotein 80, gp80), and the IL-6 β receptor (glycoprotein 130, gp130) . A homodimer composed of IL-6 and gp130 can phosphorylate downstream Janus tyrosine kinases (JAKs), which then activate various downstream transcription factors . The IL-6/JAK2/STAT3 pathway was discovered to be constitutively activated in human CRC and significantly related to cancer cell proliferation, invasion, and migration [31, 32]. Grivennikov et al. found that in CRC mouse models, IL-6 promoted the occurrence of CRC, and genetic knockout of IL-6 or STAT3 suppressed the occurrence of CRC . Therefore, blocking the IL-6/JAK2/STAT3 signaling axis and its biological effects may be a therapeutic strategy for CRC.
Tumor necrosis factor receptor-associated factors (TRAFs) is an important kind of intracellular signaling protein, which is involved in the activation of a variety of signaling pathways and the proliferation and apoptosis of tumor cells [34, 35]. TRAF5 is a kind of TRAF that has been shown to be a negative regulator of gp130. Hiroyuki et al. revealed that TRAF5 could constitutively connect to gp130, occupying the binding sites of STAT3, inhibiting the dimerization of gp130, and thereby suppressing the activation of IL-6/JAK2/STAT3 signaling . Therefore, we consider TRAF5 as a potential target for CRC therapy.
Our previous study has shown that dietary fiber metabolite butyrate can significantly inhibit the inflammatory response and the expression of IL-4, IL-6, IL-10, and other inflammatory factors in mouse models of nonalcoholic steatohepatitis . Inflammation is closely associated with the initiation and development of CRC [38, 39]. Therefore, we speculated that butyrate may function as an anticancer drug by regulating inflammation-related signaling pathways. In this study, we first revealed the therapeutic effect of high-fiber diet in inhibiting the progression of CRC in xenograft tumor mouse models. Next, we identified butyrate as a major component for CRC treatment. Then, we revealed the role of butyrate in suppressing the development of human CRC cells via blocking activation of the IL-6/JAK2/STAT3 signaling pathway. Furthermore, we found that butyrate exhibited its function by up-regulating the TRAF5 level and enhancing the combination between TRAF5 and gp130, thereby reducing the IL-6 receptor gp130. Our results may provide a novel approach for molecular targeted therapy for CRC.
Cell lines and reagents
The HCT-116 and HT-29 human CRC cell lines were purchased from the ATCC (Manassas, VA, USA). RPMI 1640 medium (Gibco, Gaithersburg, MD, USA) supplemented with 10% fetal bovine serum (FBS) and 1% penicillin/streptomycin was used to culture both kinds of cells. Cells were cultured in a 37 °C incubator with 5% CO2. Sodium butyrate (NaB) was purchased from Aladdin (Shanghai, China). Recombinant human IL-6 protein was obtained from R&D Systems (Minneapolis, MN, USA).
Cell viability assay
An enhanced Cell Counting Kit-8 (CCK-8; Beyotime, Shanghai, China) was used to measure cell viabilities. HCT-116 cell and HT-29 cell were cultured in 96-well plates with 0–10 mM NaB at a density of 5000 cells per well for 0–36 h. Then, CCK-8 assay solution was added to each sample. All cells were incubated for 1.5 h in the dark. The absorbance was assessed at 450 nm. For each condition, 6 independent biological duplicates were assessed.
EdU cell proliferation assay
The cell proliferative ability was assessed using an EdU cell proliferation kit (Beyotime). According to the instructions, EdU working solution was added to cells pretreated with 5 mM NaB for 24 h. Then, all the samples were cultured in an incubator for 2 h and fixed for 15 min. All cells were stained with EdU and Hoechst 33342. The cells were counted and imaged with an Olympus FSX100 microscope (Olympus, Tokyo, Japan).
Apoptosis was assessed by fluorescence-activated cell sorting (FACS) analysis according to the instructions of the Annexin V-FITC detection kit (KeyGEN BioTECH, Nanjing, China). HCT-116 and HT-29 cells were treated with 5 mM NaB or 10 mM NaB for 24 h. Then, all the cells were collected and incubated with FITC-conjugated Annexin V and propidium iodide (PI) dye. Apoptosis was measured by flow cytometry (BD Biosciences Franklin Lakes, NJ, USA). Results were analyzed with CellQuest software.
Colony formation assay
Cells in logarithmic phase were collected and resuspended in RPMI 1640 medium containing 5 mM NaB. Then, the cells were transferred to 6-well plates (400 cells per well) and incubated for 14 days. All media were replaced daily. Then, colonies were fixed for 15 min and stained with 1% Giemsa stain solution (Solarbio, Beijing, China) for 30 min. All colonies were counted.
Wound healing assay
HCT-116 cell and HT-29 cell were cultured in 12-well plates. At 100% confluence, scratches of equal widths were created in the cell monolayers with sterile 10-µl pipette tips. After washing with PBS, all cells were cultured in FBS-free RPMI 1640 medium containing 5 mM NaB for 24 h. Images were acquired with an Olympus FSX100 microscope (Olympus). The wound closure percentage was calculated with ImageJ software (USA).
Transwell chambers (Corning Costar, Cambridge, MA, USA) with 8-µm pores were used for this assay. For the cell migration assay, cells were cultured in FBS-free RPMI 1640 medium overnight and transferred to the upper chambers (105 cells per well) the next day. Then, medium with 10% FBS and 5 mM NaB was added to the lower chambers. Twenty-four hours later, the filter membranes were fixed for 15 min after washing with PBS and stained with 1% Giemsa stain solution for 30 min. Then, the cells remaining on the upper surface of the membranes (non-migrated cells) were gently removed with cotton swabs. The cells remaining on the lower surface (migrated cells) were counted and imaged. For the cell invasion assay, filter membranes precoated with a 1:6 dilution of Matrigel (BD Bioscience, San Diego, CA, USA) were used instead of uncoated filter membranes. The other steps were performed as described for the cell migration assay.
Western blot analysis
Cells were collected for protein extraction after treatment with 5 mM NaB for 24 h followed by 25 ng/ml IL-6 for 30 min. RIPA lysis buffer containing protease and phosphatase inhibitors was used to extract cellular proteins. Proteins were separated by SDS-PAGE and then transferred to PVDF membranes and probed with specific primary antibodies and secondary antibodies. An enhanced chemiluminescence detection kit (Beyotime) was used to visualize the bands. Antibodies specific for gp80 (sc-373780, 1:100) and gp130 (sc-376280, 1:100) were purchased from Santa Cruz Biotechnology (Dallas, TX, USA). Antibodies specific for STAT3 (#9139, 1:1000), JAK2 (#3230, 1:1000), p-STAT3 (#9145, 1:1000), p-JAK2 (#3771, 1:1000), and TRAF5 (#41658, 1:1000) were obtained from CST (Beverly, MA, USA). The anti-GAPDH antibody (BM1623, 1:1000), anti-β-actin antibody (BM0627, 1:1000), anti-α-tubulin antibody (BM1452, 1:1000), anti-rabbit IgG-HRP antibody (BA1054, 1:5000), and anti-mouse IgG-HRP antibody (BA1050, 1:5000) were purchased from Boster Biological Technology (Wuhan, China).
Protein stability assay
Cells were pretreated with 5 mM NaB for 24 h. Then, 0.5 h, 1 h, and 2 h before the cells were collected, 30 µg/ml cycloheximide (CHX; MCE, Monmouth Junction, NJ, USA) was added to all cells to block protein translation. The gp130 protein level was assessed using the western blot assay.
TCGA database and analysis
TRAF5 genes were analyzed by GEPIA web tools (http://gepia.cancer-pku.cn/) based on the TCGA database.
SCFAs were assessed from fecal samples homogenized in buffers. The suspension was centrifuged, and the supernatant was collected for analysis. A gas chromatography and a fused silica capillary column (Nukon™, Bellefonte, PA, USA) were used for the assay.
HT-29 cells were transfected with siRNA using Lipofectamine 3000 (Invitrogen, Carlsbad, CA, USA) according to the instructions. Briefly, cells were seeded in 6-well plates at a density of 2 × 104 cells per well the day before transfection. The cells were then transfected with 20 nM siRNA the next day. All media were replaced with culture medium 6 h after transfection, and the transfection efficiency was assessed after 48 h using a fluorescence microscope. The transfected HT-29 cells were then used for experiments according to protocols. The TRAF5 siRNA kit was purchased from Ribobio (Guangzhou, China).
For this assay, all cells were lysed in NP-40 buffers and centrifuged at 12,000 rpm for 10 min. Proteins were immunoprecipitated from supernatants with primary antibodies immobilized on protein G agarose beads overnight at 4 °C. Then, all proteins were collected for western blot analysis.
RNA extraction and qRT-PCR
Cells treated with 5 mM NaB for 24 h and 25 ng/ml IL-6 for 30 min were collected for RNA extraction. RNA was extracted with an RNeasy Mini Kit (Qiagen, Valencia, USA) and then reverse-transcribed into cDNA. The mRNA expression levels were assessed by a VII A7 real-time PCR system (Applied Biosystems, Foster, CA, USA). The primers are listed in Additional file 1: Table S1.
All cells were treated with 5 mM NaB for 24 h and 25 ng/ml IL-6 for 30 min, fixed for 15 min, and blocked with 5% goat serum for 1 h. Then, the cells were incubated with anti-p-STAT3 antibody (CST, 1:200) overnight at 4 °C and with a Cy3-conjugated secondary antibody (Beyotime, 1:500) for 1 h the next day. Images were acquired with a Zeiss LSM T-PMT confocal microscope (Zeiss, Jena, Germany).
Mouse xenograft tumor model
All animal experiments were performed according to guidelines approved by the Animal Care Committee of Zhejiang University School of Medicine. A total of 106 HT-29 cells resuspended in 200 µl FBS-free RPMI 1640 medium were injected subcutaneously into BALB/c athymic nude mice (6-week-old, female). Tumor volumes were measured every 2 days. When the tumor volume reached 60–80 mm3, the mice were divided into different groups randomly. For the dietary fiber experiments, the low-fiber diet (LFD) group was fed with low-fiber food (20% fiber) and the high-fiber diet (HFD) group was fed with a high-fiber food (70% fiber) for 2 weeks. All diets were purchased from Test Diet (Richmond, IN). After 2 weeks, all animals were sacrificed, and tumor tissues and normal peritumoral tissues were collected. All tissues were frozen in liquid nitrogen and fixed with 4% paraformaldehyde for western blot analysis, hematoxylin and eosin (HE) staining, and immunofluorescence staining. For butyrate experiments, the control group was intraperitoneally injected with normal saline every day, while the NaB group was intraperitoneally injected with 200 mg/kg NaB. Other steps were performed as described above.
Data were analyzed using SPSS software (Chicago, IL, USA) and GraphPad Prism 7.0 (San Diego, CA, USA). The differences between groups were calculated by ANOVA and the Student’s t-test. All data are presented as the mean ± SEM. A p < 0.05 was considered significant.
High-fiber diet inhibits CRC development by producing butyrate in xenograft tumor models
To investigate whether dietary fiber could inhibit tumor development in vivo, a low-fiber diet (LFD) and high-fiber diet (HFD) were used to treat xenograft tumor mice (Fig. 1a). Both tumor volume and tumor weight were lower in the HFD group than the LFD group (p < 0.001) (Fig. 1b–d). These results showed that the development of CRC was inhibited by dietary fiber. SCFAs are metabolites of fiber, so we measured the level of SCFAs in feces. In comparison to the LFD group, the fecal level of total SCFAs increased in the HFD group (p < 0.001) (Fig. 1e). Furthermore, we observed a significant increase in fecal butyrate (a main type of SCFAs) in the HFD group (p < 0.001) (Fig. 1f). To further explore the impact of the gut microbiota in fecal butyrate, we administered Abx to SPF mice to deplete their gut flora. Under the condition of HFD feeding, the fecal butyrate level of Abx-treated mice decreased significantly (p < 0.001) (Fig. 1g). Together, these results showed that dietary fiber could inhibit the development of CRC and that the gut microbiota was involved in metabolizing the fiber into butyrate.
NaB reduces tumor burden and inhibits JAK2/STAT3 signaling axis activation in vivo
To demonstrate whether NaB can inhibit tumor growth in vivo, we established nude mouse xenograft tumor models. The volume and weight of tumors in NaB group mice were significantly lower compared with control group mice (p < 0.001) (Fig. 2a–c). The HE staining results showed a high level of pathological mitosis (arrow in Fig. 2d) but no necrosis in tumor tissues from the control group. However, the tumor tissues from the NaB group exhibited a large number of necrotic areas (Fig. 2d). Activation of the JAK2/STAT3 signaling axis was found to be closely related to the development of CRC . The western blotting results showed that protein levels of p-JAK2 and p-STAT3 decreased significantly in NaB group in both tumor (T) and normal peritumoral (N) tissues (p < 0.001) (Fig. 2e, f). Immunofluorescence staining of tumor tissues revealed similar results. The protein levels of p-STAT3 protein were significantly lower in tumor tissues from the NaB group than the control group (Fig. 2g, h). Collectively, NaB could reduce tumor burden and inhibit JAK2/STAT3 signaling axis activation in mouse xenograft tumor models.
NaB inhibits CRC cell proliferation in vitro
Cell proliferative abilities were assessed using several different approaches. First, CCK-8 assays were used to measure cell viabilities of HCT-116 and HT-29 cells. Cell viabilities decreased significantly upon treatment of 5 mM and 10 mM NaB (p < 0.001), but not significantly upon 1 mM NaB treatment (p > 0.05) (Fig. 3a). Next, we measured cell apoptosis by FACS analysis. Neither cell line exhibited significant apoptosis when treated with 5 mM NaB (p > 0.05), but they did with 10 mM NaB treatment (p < 0.001) (Fig. 3b). Therefore, we considered 5 mM NaB as the optimal concentration to inhibit proliferation of CRC cells because of the lower levels of cytotoxicity in vitro. In addition, pretreatment with other kinds of SCFAs (acetate, propionate, and valerate, 0.1 mM) did not significantly reduce the cell viability (Additional file 2: Figure S1). Proliferating cell nuclear antigen (PCNA) is a common indicator of cell proliferation. NaB treatment decreased the PCNA protein level (p < 0.001) (Fig. 3c, d), suggesting that the cell proliferation was inhibited by NaB. The results of the EdU cell proliferation assay showed that the EdU-positive cell percentage also decreased in cells treated with NaB (p < 0.001) (Fig. 3E-F). Collectively, these results showed that the cell proliferative ability could be inhibited by NaB.
NaB inhibits the colony formation, migration, and invasion ability of CRC cells
Colony formation ability was evaluated using a colony formation assay. The colony formation ability of both kinds of cells decreased with NaB treatment (p < 0.001) (Fig. 4A-B). The migration of CRC cells was evaluated by wound healing assays. Wound closure rates decreased after NaB treatment (p < 0.001) (Fig. 4C-D). In addition, a Transwell experiment was used to assess the migration and invasion abilities. Consistent with the results in the wound healing assay, treatment with NaB could inhibit the migration of both cell lines in the Transwell assay (p < 0.001). Similar results were observed in the cell invasion assay. Cell invasion abilities decreased after treatment with NaB (p < 0.001) (Fig. 4e, f). These results showed that NaB could reduce the colony formation, migration, and invasion abilities of CRC cells.
NaB inhibits IL-6/JAK2/STAT3 signaling activation
We further explored the mechanism underlying the NaB effect. Decreases in p-JAK2 and p-STAT3 were found in vivo, indicating that NaB might exhibit its effect by targeting the JAK2/STST3 axis. However, JAK2/STAT3 signaling was not naturally activated in vitro because there no cytokine was detected in the RPMI-1640 medium. Thus, IL-6 was added to activate JAK2/STAT3 signaling. We first measured the total protein level and phosphorylation level of JAK2 and STAT3. The phosphorylation levels of JAK2 and STAT3 were significantly increased in cells stimulated with IL-6 (p < 0.001), while pretreatment with NaB for 24 h could significantly decrease these levels (p < 0.001) (Fig. 5a–c). We obtained similar results in the immunofluorescence assay. The protein level of p-STAT3 increased in cells stimulated with IL-6 and decreased in cells pretreated with NaB (Fig. 5d). These results indicated that NaB could inhibit IL-6/JAK2/STAT3 signaling activation.
NaB reduces the protein level of gp130 by decreasing its protein stability
To further explore the mechanism by which NaB inhibits the hyperactivation of IL-6/JAK2/STAT3 signaling, we measured protein levels and gene expression levels of the IL-6 receptors gp80 and gp130. The western blotting results showed a decrease in the gp80 protein level in HCT-116 cells treated with NaB (p < 0.01), but no change in HT-29 cells (p > 0.05). However, the gp130 protein level in both groups of cells decreased significantly (p < 0.001) (Fig. 6a, b), which suggested that NaB might be a specific inhibitor of gp130. Interestingly, the qRT-PCR results showed no significant change in the expression level of either the gp80 or gp130 gene upon treatment of cells with either IL-6 or NaB (p > 0.05) (Additional file 3: Figure S2A, B). Therefore, we concluded that NaB could decrease the protein level of gp130 but could not inhibit its gene expression. Next, we measured the protein stability of gp130. After protein translation was blocked with the protein translation inhibitor CHX, all cells were collected at different time points for measurement of their gp130 protein level. The degradation rate of gp130 increased in both cell lines treated with NaB (p < 0.01) (Fig. 6c–f), indicating that NaB could decrease the protein stability of gp130. In conclusion, these results indicated that NaB could increase the protein degradation rate and reduce the protein stability of gp130.
NaB reduces the gp130 protein level by increasing TRAF5
The association of TRAF5 could weaken the dimerization of gp130, resulting in gp130 dysfunction and inactivation of IL-6/JAK2/STAT3 signaling . According to GEPIA web tools based on the TCGA database (http://gepia.cancer-pku.cn/), in colon adenocarcinoma (COAD) patients, TRAF5 gene expression was lower in tumor tissues (T) than normal tissues (N) (Fig. 7a). First, we measured the TRAF5 protein level in both HCT-116 and HT-29 cells. NaB treatment increased the protein level of TRAF5 in both HCT-116 cells (p < 0.05) and HT-29 cells (p < 0.001) (Fig. 7b, c). Next, we detected the interaction of TRAF5 and gp130 using a co-immunoprecipitation assay. Notably, we found an association between TRAF5 and gp130, and this connection was partly enhanced by NaB treatment (Fig. 7d). Next, HT-29 cells were transfected with siRNA against TRAF5 to further explore the potential mechanism. Surprisingly, we found that NaB could not reduce the gp130 protein level and cell viability in cells treated with siTRAF5 (p > 0.05), but it could in cells treated with siCtrl (p < 0.001), indicating that TRAF5 knockdown could neutralize the effect of NaB (Fig. 7e–g). We hypothesized that by increasing the TRAF5 level and enhancing the association between traf5 and gp130, NaB could disable the biological function of gp130 and accelerate its degradation (Fig. 7h).
The main objective of this study was to explore the therapeutic effect and potential mechanism of butyrate as a novel inhibitor of gp130 in CRC. First, we found that a high-fiber diet could significantly inhibit CRC development in xenograft tumor mice. By assessing the substance in mice feces, we identified butyrate (a major metabolite of fiber) as a potential component for CRC therapy. In addition, we demonstrated that in specific pathogen-free (SPF) immunodeficient mice, the gut microbiota was necessary for metabolizing fiber into butyrate. Next, we revealed that butyrate significantly inhibited the proliferation, colony formation, and translocation abilities of HCT-116 and HT-29 cells. Butyrate exerted its function by reducing the gp130 level and thus blocking IL-6/JAK2/STAT3 signaling activation. However, butyrate did not significantly impact the gp130 gene expression level in either HCT-116 or HT-29 cells. Therefore, we speculated that butyrate might decrease the gp130 level by regulating the protein degradation and stability of gp130. Through a series of experiments, we confirmed that butyrate reduced the gp130 level by increasing the levels of the adaptor TRAF5 and enhancing the association of TRAF5 and gp130. As reported by Hiroyuki et al., the combination of TRAF5 and gp130 could inhibit the dimerization of gp130 and suppress the activation of JAK2/STAT3 signaling . Based on the above findings, we speculated that butyrate could inhibit the dimerization of gp130 to accelerate its degradation by enhancing TRAF5. These results suggested that butyrate might be a drug useful for targeted CRC therapy.
CRC is a common malignancy related to genetic factors, diet, and inflammation [40, 41]. The consumption of large amounts of fiber results in a low risk of mortality . In this study, we found that a high-fiber diet could significantly inhibit CRC development in xenograft tumor mice, in which butyrate was the main component. Moreover, we found that after depletion of the gut microbiota using antibiotics, the fecal butyrate level decreased significantly in the high-fiber diet mice. Thus, we concluded that the gut microbiota was necessary to metabolize the dietary fiber into butyrate.
We further explored the mechanism by which fiber can treat and prevent CRC. The dysregulation of key cytokines is important in the initiation and progression of CRC, particularly dysregulation of the IL-6 family [42, 43]. During the progression of cancer, hyperactivation of JAK2/STAT3 signaling results in a poor prognosis [44, 45]. In the present study, we confirmed that the major metabolite, butyrate, significantly inhibited the progression of CRC. Treatment with 5 mM butyrate did not induce significant apoptosis in vitro. Therefore, we considered 5 mM butyrate as the optimal and safer concentration for inhibiting CRC cell behaviors in vitro. Butyrate suppressed CRC by decreasing the gp130 level and inhibiting hyperactivation of IL-6/JAK2/STAT3 signaling. Furthermore, butyrate did not significantly impact gp80 gene expression or protein levels in either HCT-116 or HT-29 cells. Therefore, we speculated that butyrate might be a specific inhibitor of gp130 instead of gp80. Interestingly, the gp130 gene expression level did not change significantly in either HCT-116 or HT-29 cells upon treatment with butyrate, indicating that butyrate could not inhibit the gene expression of gp130. Therefore, we speculated that butyrate might decrease gp130 protein levels by attenuating gp130 protein stability. Through a series of experiments, we found that butyrate reduced the stability and accelerated the degradation of the gp130 protein by increasing its adaptor TRAF5 and enhancing their association, thus inhibiting the dimerization of gp130 and accelerating gp130 degradation.
Of note, in this study we found that enhancement of TRAF5 could accelerate the degradation of gp130, thereby reducing the level of gp130 in CRC cells and inhibiting activation of STAT3. The stability of gp130 was regulated by several kinds of post-translational modification. Ubiquitin-dependent proteasome degradation and caspase-induced proteolysis were reported to be the main pathways for gp130 degradation . We speculated that increasement of TRAF5 may reduce gp130 stability by regulating its processing through the ubiquitin–proteasome pathway, and we would explore this issue in further study.
However, a study conducted by Yuan et al. revealed that butyrate inhibits the gene expression of gp80 and phosphorylation of STAT1 in the human CRC cell lines 228 and RKO. This research group also found that butyrate does not impact either the gene expression or protein level of gp130 . These results are in contrast with ours, which may be due to the heterogeneity of cancer cells [48,49,50]. The expression of gp80 and gp130 differs in different kinds of cells. Therefore, the cellular response to butyrate can also differ. This possibility may be important for scientific research, but it was not explored in the present study. Further experiments are needed to explore this possibility.
In conclusion, we demonstrated that butyrate is a novel inhibitor of gp130 by targeting TRAF5. These results may contribute to further exploration of this metabolite in CRC.
The fiber metabolite butyrate inhibits CRC development by reducing gp130 and inhibiting activation of IL-6/JAK2/STAT3 signaling. Furthermore, butyrate accelerates gp130 degradation by increasing its adaptor TRAF5. Due to these effects, butyrate is regarded as a novel therapeutic drug for CRC. However, specific mechanism of how butyrate regulates TRAF5 is unclear. Further researches and more human studies are still needed.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.
Janus tyrosine kinase 2
Short-chain fatty acids
Signal transducer and activator of transcription 3
Tumor necrosis factor receptor-associated factor 5
Dekker E, Tanis PJ, Vleugels JLA, Kasi PM, Wallace MB. Colorectal cancer. Lancet. 2019;394(10207):1467–80.
Siegel RL, Miller KD, Fedewa SA, Ahnen DJ, Meester RGS, Barzi A, et al. Colorectal cancer statistics, 2017. CA Cancer J Clin. 2017;67(3):177–93.
Fitzmaurice C, Abate D, Abbasi N, Abbastabar H, Abd-Allah F, Abdel-Rahman O, et al. Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 29 cancer groups, 1990 to 2017: a systematic analysis for the Global Burden of Disease Study. JAMA Oncol. 2019;5:1749–68.
Carr PR, Weigl K, Jansen L, Walter V, Erben V, Chang-Claude J, et al. Healthy lifestyle factors associated with lower risk of colorectal cancer irrespective of genetic risk. Gastroenterology. 2018;155(6):1805–15.
Tabung FK, Liu L, Wang W, Fung TT, Wu K, Smith-Warner SA, et al. Association of dietary inflammatory potential with colorectal cancer risk in men and women. JAMA Oncol. 2018;4(3):366–73.
Schoen RE, Razzak A, Yu KJ, Berndt SI, Firl K, Riley TL, et al. Incidence and mortality of colorectal cancer in individuals with a family history of colorectal cancer. Gastroenterology. 2015;149(6):1438–45.
Safiri S, Sepanlou SG, Ikuta KS, Bisignano C, Salimzadeh H, Delavari A, Ansari R, Roshandel G, Merat S, Fitzmaurice C, Force LM. The global, regional, and national burden of colorectal cancer and its attributable risk factors in 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Gastroenterol Hepatol. 2019;4(12):913–33.
Murphy CC, Singal AG, Baron JA, Sandler RS. Decrease in Incidence of Young-Onset Colorectal Cancer Before Recent Increase. Gastroenterology. 2018;155(6).
Stoffel EM, Murphy CC. Epidemiology and mechanisms of the increasing incidence of colon and rectal cancers in young adults. Gastroenterology. 2020;158(2):341–53.
Brenner H, Kloor M, Pox CP. Colorectal cancer. Lancet. 2014;383(9927):1490–502.
Moridikia A, Mirzaei H, Sahebkar A, Salimian J. MicroRNAs: potential candidates for diagnosis and treatment of colorectal cancer. J Cell Physiol. 2018;233(2):901–13.
Dimitrov BD. Fibre and colorectal cancer. Lancet. 1996;348(9032):958–9.
Ben Q, Sun Y, Chai R, Qian A, Xu B, Yuan Y. Dietary fiber intake reduces risk for colorectal adenoma: a meta-analysis. Gastroenterology. 2014;146(3):689–99.
Song M, Garrett WS, Chan AT. Nutrients, foods, and colorectal cancer prevention. Gastroenterology. 2015;148(6):1244–60.
Song M, Wu K, Meyerhardt JA, Ogino S, Wang M, Fuchs CS, et al. Fiber intake and survival after colorectal cancer diagnosis. JAMA Oncol. 2018;4(1):71–9.
Mirzaei R, Mirzaei H, Alikhani MY, Sholeh M, Arabestani MR, Saidijam M, et al. Bacterial biofilm in colorectal cancer: what is the real mechanism of action? Microb Pathog. 2020;142:104052.
Koh A, De Vadder F, Kovatcheva-Datchary P, Bäckhed F. From dietary fiber to host physiology: short-chain fatty acids as key bacterial metabolites. Cell. 2016;165(6):1332–45.
Donohoe DR, Holley D, Collins LB, Montgomery SA, Whitmore AC, Hillhouse A, et al. A gnotobiotic mouse model demonstrates that dietary fiber protects against colorectal tumorigenesis in a microbiota- and butyrate-dependent manner. Cancer Discov. 2014;4(12):1387–97.
Sivaprakasam S, Prasad PD, Singh N. Benefits of short-chain fatty acids and their receptors in inflammation and carcinogenesis. Pharmacol Ther. 2016;164:144–51.
O’Keefe SJD. Diet, microorganisms and their metabolites, and colon cancer. Nat Rev Gastroenterol Hepatol. 2016;13(12):691–706.
Sun X, Zhu M-J. Butyrate Inhibits Indices of Colorectal Carcinogenesis via Enhancing α-Ketoglutarate-Dependent DNA Demethylation of Mismatch Repair Genes. Mol Nutr Food Res. 2018;62(10):e1700932.
Sebastián C, Mostoslavsky R. Untangling the fiber yarn: butyrate feeds Warburg to suppress colorectal cancer. Cancer Discov. 2014;4(12):1368–70.
Thangaraju M, Cresci GA, Liu K, Ananth S, Gnanaprakasam JP, Browning DD, et al. GPR109A is a G-protein-coupled receptor for the bacterial fermentation product butyrate and functions as a tumor suppressor in colon. Cancer Res. 2009;69(7):2826–32.
West NR, McCuaig S, Franchini F, Powrie F. Emerging cytokine networks in colorectal cancer. Nat Rev Immunol. 2015;15(10):615–29.
Savardashtaki A, Shabaninejad Z, Movahedpour A, Sahebnasagh R, Mirzaei H, Hamblin MR. miRNAs derived from cancer-associated fibroblasts in colorectal cancer. Epigenomics. 2019;11(14):1627–45.
Jones SA, Jenkins BJ. Recent insights into targeting the IL-6 cytokine family in inflammatory diseases and cancer. Nat Rev Immunol. 2018;18(12):773–89.
Howlett M, Giraud AS, Lescesen H, Jackson CB, Kalantzis A, Van Driel IR, et al. The interleukin-6 family cytokine interleukin-11 regulates homeostatic epithelial cell turnover and promotes gastric tumor development. Gastroenterology. 2009;136(3):967–77.
Kim S, Keku TO, Martin C, Galanko J, Woosley JT, Schroeder JC, et al. Circulating levels of inflammatory cytokines and risk of colorectal adenomas. Cancer Res. 2008;68(1):323–8.
Murakami M, Hibi M, Nakagawa N, Nakagawa T, Yasukawa K, Yamanishi K, et al. IL-6-induced homodimerization of gp130 and associated activation of a tyrosine kinase. Science. 1993;260(5115):1808–10.
Zhang C, Xin H, Zhang W, Yazaki PJ, Zhang Z, Le K, et al. CD5 binds to interleukin-6 and induces a feed-forward loop with the transcription factor STAT3 in B cells to promote cancer. Immunity. 2016;44(4):913–23.
Johnson DE, O’Keefe RA, Grandis JR. Targeting the IL-6/JAK/STAT3 signalling axis in cancer. Nat Rev Clin Oncol. 2018;15(4):234–48.
Yu H, Pardoll D, Jove R. STATs in cancer inflammation and immunity: a leading role for STAT3. Nat Rev Cancer. 2009;9(11):798–809.
Grivennikov S, Karin E, Terzic J, Mucida D, Yu G-Y, Vallabhapurapu S, et al. IL-6 and Stat3 are required for survival of intestinal epithelial cells and development of colitis-associated cancer. Cancer Cell. 2009;15(2):103–13.
Chen H, Li M, Campbell RA, Burkhardt K, Zhu D, Li SG, et al. Interference with nuclear factor kappa B and c-Jun NH2-terminal kinase signaling by TRAF6C small interfering RNA inhibits myeloma cell proliferation and enhances apoptosis. Oncogene. 2006;25(49):6520–7.
Zhu S, Jin J, Gokhale S, Lu AM, Shan H, Feng J, et al. Genetic alterations of TRAF proteins in human cancers. Front Immunol. 2018;9:2111.
Nagashima H, Okuyama Y, Asao A, Kawabe T, Yamaki S, Nakano H, et al. The adaptor TRAF5 limits the differentiation of inflammatory CD4(+) T cells by antagonizing signaling via the receptor for IL-6. Nat Immunol. 2014;15(5):449–56.
Ye J, Lv L, Wu W, Li Y, Shi D, Fang D, et al. Butyrate protects mice against methionine-choline-deficient diet-induced non-alcoholic steatohepatitis by improving gut barrier function, attenuating inflammation and reducing endotoxin levels. Front Microbiol. 2018;9:1967.
Lasry A, Zinger A, Ben-Neriah Y. Inflammatory networks underlying colorectal cancer. Nat Immunol. 2016;17(3):230–40.
Honari M, Shafabakhsh R, Reiter RJ, Mirzaei H, Asemi Z. Resveratrol is a promising agent for colorectal cancer prevention and treatment: focus on molecular mechanisms. Cancer Cell Int. 2019;19:180.
Keum N, Giovannucci E. Global burden of colorectal cancer: emerging trends, risk factors and prevention strategies. Nat Rev Gastroenterol Hepatol. 2019;16(12):713–32.
Kastrinos F, Samadder NJ, Burt RW. Use of Family History and Genetic Testing to Determine Risk of Colorectal Cancer. Gastroenterology. 2020;158(2):389–403.
Hurtado CG, Wan F, Housseau F, Sears CL. Roles for interleukin 17 and adaptive immunity in pathogenesis of colorectal cancer. Gastroenterology. 2018;155(6):1706–15.
Flint TR, Janowitz T, Connell CM, Roberts EW, Denton AE, Coll AP, et al. Tumor-induced IL-6 reprograms host metabolism to suppress anti-tumor immunity. Cell Metab. 2016;24(5):672–84.
Kim H, Kim D, Choi SA, Kim CR, Oh SK, Pyo KE, et al. KDM3A histone demethylase functions as an essential factor for activation of JAK2-STAT3 signaling pathway. Proc Natl Acad Sci USA. 2018;115(46):11766–71.
Kusaba T, Nakayama T, Yamazumi K, Yakata Y, Yoshizaki A, Inoue K, et al. Activation of STAT3 is a marker of poor prognosis in human colorectal cancer. Oncol Rep. 2006;15(6):1445–51.
Wang Y, Fuller GM. Phosphorylation and internalization of gp130 occur after IL-6 activation of Jak2 kinase in hepatocytes. Mol Biol Cell. 1994;5(7):819–28.
Yuan H, Liddle FJ, Mahajan S, Frank DA. IL-6-induced survival of colorectal carcinoma cells is inhibited by butyrate through down-regulation of the IL-6 receptor. Carcinogenesis. 2004;25(11):2247–55.
Punt CJA, Koopman M, Vermeulen L. From tumour heterogeneity to advances in precision treatment of colorectal cancer. Nat Rev Clin Oncol. 2017;14(4):235–46.
Roerink SF, Sasaki N, Lee-Six H, Young MD, Alexandrov LB, Behjati S, et al. Intra-tumour diversification in colorectal cancer at the single-cell level. Nature. 2018;556(7702):457–62.
Mirzaei H, Salehi H, Sahebkar A, Avan A, Jaafari MR, Namdar A, et al. Deciphering biological characteristics of tumorigenic subpopulations in human colorectal cancer reveals cellular plasticity. J Res Med Sci. 2016;21:64.
We are grateful to Dr. Jiong Yu, Dr. Yehong Zhang, Dr. Jinlin Chen, and Dr. Pei Zhang (The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China) for their help with the fluorescence and confocal microscopes.
This study was supported by the National Natural Science Foundation of China (81790631, 81570512, 81703430), the National Key Research and Development Program of China (2018YFC2000500), and Natural Science Foundation of Zhejiang Province, China (LQ19H030007).
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All animal experiments were manipulated according to guidelines approved by the Animal Care Committee of Zhejiang University School of Medicine.
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The authors declare that they have no competing interests.
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Specific primers for the qRT-PCR assay.
The effects of 0.1 mM acetate, propionate, and valerate on HT-29 cell viabilities.
NaB did not inhibit gene expression of gp80 and gp130. a-b The mRNA expression levels of gp80 and gp130 in cells treated with NaB (5 mM) for 24 h and IL-6 (25 ng/ml) for 30 min. (ns: not significant).
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Yuan, Y., Li, B., Kuang, Y. et al. The fiber metabolite butyrate reduces gp130 by targeting TRAF5 in colorectal cancer cells. Cancer Cell Int 20, 212 (2020). https://doi.org/10.1186/s12935-020-01305-9
- Colorectal cancer
- Sodium butyrate
- Protein stability