Abstract
Background
The accumulation of M1-polarized macrophages and excessive inflammation are important in the pathogenesis of diabetic foot ulcer (DFU). However, the underlying mechanism of DFU pathogenesis and the crucial regulators of DFU are less well known. Our previous study reported that kallikrein-binding protein (KBP), an angiogenesis inhibitor, was significantly upregulated in diabetic patients compared to its levels in controls. The effects of KBP on monocyte chemotaxis and macrophage M1 polarization were elucidated in this study.
Methods
Plasma KBP levels and monocyte counts were assessed by ELISA and flow cytometry. Wound closure rates in different groups were monitored daily. The phenotype and recruitment of macrophages were measured by real-time PCR, western blot and immunofluorescence assays. The expression of Notch and NF-κB signalling pathway members was determined by the methods mentioned above. ChIP and dual-luciferase reporter gene assays were employed to explore the binding and transcriptional regulation of Hes1 and iNOS.
Results
We found that plasma KBP levels and circulating monocytes were elevated in diabetic patients compared to those in nondiabetic controls, and both were higher in diabetic patients with DFU than in diabetic patients without DFU. KBP delayed wound healing in normal mice; correspondingly, KBP-neutralizing antibody ameliorated delayed wound healing in diabetic mice. Circulating monocytes and macrophage infiltration in the wound were upregulated in KBP-TG mice compared to those in control mice. KBP promoted the recruitment and M1 polarization of macrophages. Mechanistically, KBP upregulated iNOS by activating the Notch1/RBP-Jκ/Hes1 signalling pathway. Hes1 downregulated CYLD, a negative regulator of NF-κB signalling, and then activated the IKK/IκBα/NF-κB signalling pathway.
Conclusions
Our findings demonstrate that KBP is the key regulator of excessive inflammation in DFUs and provide a novel target for DFU therapy.
Electronic supplementary material
The online version of this article (10.1186/s12964-019-0376-9) contains supplementary material, which is available to authorized users.
Keywords: Diabetic wound healing, Kallikrein-binding protein, Monocyte-macrophages, Notch/NF-κB signalling
Background
Diabetic foot ulcer (DFU) is one of the most intractable complications of diabetes mellitus and leads to nontraumatic amputation in more than 70,000 patients worldwide [1, 2]. The pathological impairment of wound healing is the foremost reason for DFU. Wound healing consists of the following overlapping dynamic phases: inflammation, re-epithelization and neovascularization, and tissue remodelling [3, 4]. The local inflammatory response initiated during wound healing includes the migration and proliferation of diverse cells in addition to the regulation of inflammatory factors and cytokines [3].
Macrophages, which derive from monocytes and upstream progenitor cells, are involved in all the phases of wound healing [5]. Macrophage colony-stimulating factor (M-CSF) and monocyte chemoattractant protein-1 (MCP-1) are vital cytokines for macrophage survival, differentiation and mobilization [5–7]. Furthermore, the recruitment of monocyte-macrophages to wounds depends on MCP-1 secreted by diverse skin cells and the expression of its receptor chemokine receptor 2 (CCR2) on monocyte-macrophage surfaces [5, 8]. Macrophages 2assume a spectrum of activation states ranging from pro-inflammatory M1 macrophages that induce an inflammatory response with the secretion of inflammatory factor [9] to anti-inflammatory M2 macrophages that promote the absorption of inflammation and wound healing [10–12]. M1 macrophages are characterized by the production of inflammatory mediators, such as inducible nitric oxide synthase (iNOS), IL-6, IL-12, and TNF-α, in response to IFN-γ and LPS [13]. M2 macrophages express anti-inflammatory mediators; promote angiogenesis mediators, such as arginase-1 (ARG1), IL-10, TGF-β1, and VEGF; and play a pivotal role in tissue repair, reconstruction and tumours [14, 15]. Delayed diabetic healing is characterized by excessive inflammation with the prolonged accumulation of M1 macrophages and elevated pro-inflammatory cytokines. In addition, anti-inflammatory factors and growth factors secreted by M2-polarized macrophages are also downregulated [16]. However, the reason for this abnormal phenotypic transformation in M1/M2 macrophages in diabetic patients is not well defined.
Kallikrein-binding protein (KBP), also named SERPINA3K, was originally identified as a member of the serine proteinase inhibitor (serpin) family [17]. KBP is a plasma protein mainly synthesized and secreted by the liver that has a wide-ranging spectrum of activities, including the relaxation of blood vessels and the inhibition of angiogenesis and antioxidative stress [18, 19]. Our previous studies have shown that circulating KBP levels are increased in diabetic patients with microvascular complications compared to those in diabetic patients without microvascular complications; furthermore, KBP delays diabetic wound healing through inhibiting angiogenesis [20, 21]. Although the effect of KBP on angiogenesis in diabetic wound healing has been reported [21], the effects of KBP on macrophage polarization and the excessive inflammatory reaction in diabetic wound healing have not been documented.
The Notch family is a family of evolutionarily conserved proteins that regulate cell differentiation, proliferation, survival and development [22]. Notch ligands bind with their receptors, resulting in intramembranous cleavage by γ-secretase to release Notch intracellular domain (NICD). NICD translocates into the nucleus and binds to the DNA-binding protein RBP-Jκ to activate Notch target genes, such as Hes1 and Deltex [22]. Notch signalling plays a pivotal role in regulating the development and differentiation of monocyte-macrophages [23, 24]. Nevertheless, the role of KBP in regulating monocyte-macrophages through Notch signalling during wound healing has not been verified.
The NF-κB signalling pathway is a classic pathway that promotes the M1 polarization of macrophages [13]. The activation of inhibitor of κBα (IκBα) kinase (IKK) promotes the phosphorylation of IκBα, which is the inhibitory form of IκBα, following which NF-κB p65 is activated and translocated into the nucleus to activate the expression of target genes [25, 26]. The activation of the Notch signalling pathway can promote the activation of the NF-κB signalling pathway [27–30]. It remains to be explored whether KBP promotes the M1 polarization of macrophages via activating the Notch and NF-κB signalling pathways.
In this study, we elucidated the role of KBP in the excessive inflammatory response during diabetic wound healing. We additionally tested the hypothesis that KBP regulates the numbers and polarization of monocyte-macrophages by activating the Notch and NF-κB signalling pathways, consequently delaying wound healing.
Materials
Human subjects
The collection of human samples adhered to the Declaration of Helsinki and was approved by the Ethics Committee of Sun Yat-sen Memorial Hospital. All patients provided their informed consent. All diabetic patients with or without DFU were diagnosed by a medical doctor.
Animal experiments
All the animal experiments were carried out with the approval of the Animal Care and Use Committee of Sun Yat-sen University (approval ID: SCXK 2011–0029). Wild-type C57BL/6 mice were purchased from the Laboratory Animal Center of Sun Yat-sen University. A human KBP transgenic C57BL/6 mouse strain (KBP-TG) generated as previously described was provided as a gift from Dr. Jianxing Ma (University of Oklahoma Health Sciences Center) [21]. Six-week-old male mice were fed a high-fat diet (60% of calories, D12492, Research Diets, Inc.) for one month and then intraperitoneally injected with streptozotocin (STZ; 40 mg/kg/day) daily for 7 days to induce type 2 diabetes [4, 31, 32]. The type 2 diabetic mice were randomly divided into two groups: an IgG group and a KBP antibody (0.4 mg/kg/day) group. IgG (Sigma-Aldrich, St. Louis, MO, USA) or KBP-neutralizing antibody (Genscript, China) was intraperitoneally administered to the diabetic mice every day beginning three days before the establishment of a wound model for 15 days. BSA or KBP (20 mg/kg/day) was intraperitoneally administered to the WT mice every day beginning three days before the establishment of a wound model for 15 days. Male db/db mice, which is also a type 2 diabetes mouse model, were purchased from Nanjing Model Animal Center. Wound healing rates were observed, the wounds were photographed every other day, and wound tissues from different mouse models were collected.
Cell culture
Bone marrow-derived macrophages (BMDM) were generated as previously described [33]. BMDMs and mouse RAW264.7 macrophages were cultured in DMEM with 10% FBS and 1% penicillin/streptomycin. THP-1 cells were cultured in RPMI-1640 with 10% FBS and 1% penicillin/streptomycin. THP-1 cells were differentiated with phorbol 12-myristate 13-acetate (PMA) (20 ng/mL, Sigma) for 72 h.
ELISA to detect KBP, GM-CSF/M-CSF, TNFα, IL-6 and MCP-1
The plasma level of KBP was detected using a human KBP ELISA kit (R&D Systems, Minneapolis, MN, USA, #DY1669) according to the manufacturer’s instructions. The levels of GM-CSF, M-CSF, MCP-1, TNFα and IL-6 in mouse plasma or cellular supernatants were measured with a mouse GM-CSF ELISA kit (R&D Systems, #MGM00), mouse M-CSF ELISA kit (RayBiotech, RayBiotech, Norcross, GA, USA, #ELM-MCSF-1), mouse MCP-1 ELISA kit (RayBiotech, #ELM-MCP-1), mouse TNFα ELISA kit (R&D Systems, #DY410–05) and mouse IL-6 ELISA kit (R&D Systems, #DY406–05).
Wound healing assays
The dorsa of anaesthetized mice were clipped to remove hair, and then standardized circular wounds were made with a full-thickness 6-mm biopsy punch (Acuderm, Fort Lauderdale, FL). Wound closure rates were monitored by tracing the wound area daily through photographs that were quantified with ImageJ software. Frozen wound tissue slides were stained with F4/80 antibody (1:200, Abcam, Cambridge, MA, USA, #ab6640), iNOS antibody (1:200, Abcam, #ab3523) or ARG1 antibody (1200, Santa Cruz, CA, USA, sc-20,150).
RNA extraction, reverse transcription of cDNA, and real-time quantitative PCR
RNA extraction, reverse transcription and real-time PCR were performed as described previously [34]. The primers used for real-time PCR are listed in Additional file 1: Table S2.
Western blotting
Western blot analysis was performed as described previously [4, 35]. The proteins were transferred to a PVDF membrane (Millipore, Billerica, MA, USA) and probed with primary antibodies specific for iNOS (1:1000, Abcam, #ab3523), ARG1 (1:200, Santa Cruz, sc-20,150), Notch1 (1:1000, CST, Danvers, MA, USA, #4380S), Hes1 (1:1000, CST, #11988) and β-actin (1:10000, Sigma-Aldrich, #A5441) overnight at 4 °C. The following secondary antibodies were used: goat anti-rabbit IgG/HRP (1:1000, Vector Laboratories, Burlingame, CA, USA, #PI1000) and goat anti-mouse IgG/HRP (1:5000, Vector Laboratories, #PI2000). Chemiluminescence was developed using ECL Western blotting substrate.
Immunofluorescence staining and immunohistochemistry
For immunofluorescence staining, wound sections were fixed in 4% paraformaldehyde and permeabilized with 0.01% Triton X-100 in PBS. The samples were incubated with F4/80 (1:200, Abcam, #ab6640), iNOS (1:200, Abcam, #ab3523) or ARG-1 (1:200, Santa Cruz, #sc-20,150) antibodies overnight at 4 °C and then incubated with Alexa Fluor 488-donkey anti-rat IgG (H + L) (1:200, Life Technologies, Gaithersburg, MD, USA, #A21208) and Alexa Fluor 594-donkey anti-rabbit IgG (1:200, Life Technologies, #R37119) for 1 h. The slices were digitally photographed with a confocal microscope. For immunohistochemistry, tissue slices were prepared as described before [36]. The sections were incubated with F4/80 antibody overnight at 4 °C and then incubated with a biotin-conjugated secondary antibody for 30 min, followed by incubation with DAB for 10 s and haematoxylin staining for 30 s. The IHC signal for F4/80 was analysed using ImageJ.
Transwell migration assay
Chemotaxis experiments were performed using 24-well Boyden chambers (Corning, NY) as described previously [4, 37]. Briefly, DMEM containing 10% FBS was placed in the lower chamber. A total of 1 × 105 RAW264.7 cells in 200 μL medium were seeded into the upper chamber. Macrophages were preincubated with 640 nM KBP for 48 h prior to seeding. The chamber was then incubated for 12 h. The number of macrophages that migrated to the lower surface of the membrane was counted in 10 random high-power fields under a light microscope (Nikon Eclipse, USA). Each assay was performed in triplicate wells.
ChIP (chromatin immunoprecipitation) assay
RAW264.7 cells were grown in a 10-cm dish (90–95% confluence), and histones were crosslinked to DNA with 1% formaldehyde for 15 min at 37 °C. The cells were washed three times with ice-cold PBS and scraped into a tube for nuclear protein extraction using the NE-PERTM reagent kit (Pierce). Subsequent steps were performed as described previously [38]. PCR was performed to amplify fragments of the iNOS promoter using 2 μL of the extracted DNA (with or without antibody) as a template. The primers used to amplify the iNOS promoter were 5′-TGTACATGCAAGGCAAGCAC-3′ and 5′-TGGCCTCAATAGTTGGGAGAAC-3′.
siRNA transfection
Hes1 siRNA, RBP-Jκ siRNA and control siRNA were purchased from RiboBio. Transfections were performed at approximately 60% confluency using Lipofectamine® 3000 transfection reagent (Invitrogen) according to the manufacturer’s instructions.
Flow cytometry
To quantify the circulating monocytes by FACS analysis, whole mouse blood cells were collected in anticoagulant tubes, and PE-labelled CD115 antibody was added (1:100, BD); the cells were then incubated at 37 °C in the dark for 1 h. Ten millilitres of red cell lysate was added to the cells for 5 min at room temperature, following which the cells were centrifuged at 2000 rpm for 3 min, the supernatant was removed, and the cells were washed twice with PBS and resuspended in 300 μl PBS for flow cytometry (Beckman Coulter, CytoFLEX). The data were analysed via CytExpert2.0 software and at least 10,000 gated events were acquired from each sample.
Data analysis
All the data are expressed as the mean ± standard deviation. Student’s t-test was applied for comparisons between two groups, and one-way ANOVA followed by LSD t-test was used to compare differences between more than two different groups (GraphPad Prism software). A P value less than 0.05 indicated statistical significance.
Results
Elevated KBP and monocyte counts in diabetic patients with diabetic foot ulcer
The level of KBP in plasma samples from 61 nondiabetic controls (NDM), 44 diabetic patients without diabetic foot ulcer (DM w/o DFU) and 25 diabetic patients with diabetic foot ulcer (DM w/DFU) was examined by ELISA. The clinical data, such as age, monocyte counts and some biochemical indicators, were analysed (Additional file 1: Table S1). We found that the plasma level of KBP in the DM group (17.9 ± 13.8 μg/mL) was higher than that in the NDM group (6.4 ± 2.0 μg/mL), and the level in the DM w/DFU group (25.9 ± 14 μg/mL) was higher than that in the DM w/o DFU group (12.3 ± 10.6 μg/mL) (Fig. 1a). Furthermore, there were more monocytes in the peripheral blood of the DM group (5.0 ± 2.1 × 109/L) than in the peripheral blood of the NDM group (3.8 ± 1.1 × 109/L), and the number of monocytes was much higher in the DM w/DFU group (6.2 ± 2.1 × 109/L) than in the DM w/o DFU (4.1 ± 1.6 × 109/L) and NDM groups (Fig. 1b). The collected data refer to the clinical data detected by a blood cell analyser. Correlation analysis indicated that circulating KBP levels were positively associated with the number of circulating monocytes in the patients in all groups (Fig. 1c, R = 0.48, P < 0.01). Collectively, circulating KBP levels were elevated in the DM group, especially in the DM w/DFU group, which was associated with elevated numbers of circulating monocytes.
KBP delays wound healing, and the administration of KBP-neutralizing antibody improves wound healing in diabetic mice
Wound healing in KBP-TG mice was delayed compared with that observed in wild type (WT) littermates (Fig. 2a, b). Consistently, wound healing in the recombinant KBP-treated group was slower than that in the control group treated with BSA (Fig. 2c, d). Furthermore, the administration of KBP-neutralizing antibody accelerated wound healing in diabetic mice (Fig. 2e, f) whose KBP level was elevated (Additional file 2: Figure S2). Taken together, our results suggested that KBP administration alone impaired wound healing, while wound healing in diabetic mice was accelerated via blocking KBP.
KBP increases the number of circulating monocytes and macrophage infiltration in wounds
Compared with that in the WT mice, there was more F4/80+ (a macrophage marker) macrophage infiltration in the wounds of KBP-TG mice (Fig. 3a, b), and the mRNA expression of F4/80 was correspondingly increased in the wounds of KBP-TG mice at different time points (Fig. 3e). The administration of KBP antibody decreased the infiltration of macrophages (Fig. 3c, d) as well as the mRNA expression of F4/80 (Fig. 3f). The statistical analysis of the data, which was indicated by greyscale values, is shown in Fig. 3b and Fig. 3d. In addition, the percentage of circulating monocytes was increased in KBP-TG mice (Fig. 3g) as well as db/db diabetic mice (Additional file 3: Figure S3) compared to that in control mice. Therefore, our results indicated that KBP increased the number of circulating monocytes and macrophage infiltration in wounds.
KBP promotes the M1 polarization of macrophages
We further examined the expression of an M1 marker (iNOS) and an M2 marker (ARG1) in vivo. There were more iNOS and F4/80 double-positive cells (Fig. 4a, c) and fewer ARG1 and F4/80 double-positive cells (Fig. 4b, d) in the wounds of DM and KBP-TG mice than those in the wounds of control mice. In contrast, the KBP antibody reduced the number of M1 macrophages and increased M2 macrophage infiltration in the wounds of diabetic mice (Fig. 4e, f). In the late stage of wound healing (D10), the mRNA expression of iNOS was increased (Fig. 4g), while the expression of ARG1 was decreased in KBP-TG mice (Fig. 4h). Similarly, treatment with KBP-neutralizing antibody reversed this phenomenon, as the expression of iNOS was downregulated (Fig. 4i), while the expression of ARG1 was upregulated in diabetic mouse wounds (Fig. 4j). Consequently, KBP increased the number of pro-inflammatory M1 macrophages and reduced M2 macrophage infiltration in diabetic wounds, especially in the late stage of wound healing, resulting in a persistent inflammatory state in the diabetic wounds.
To further explore the role of KBP in macrophage polarization, we measured different M1/M2 markers/cytokines in diverse monocyte-macrophages (Additional file 4: Figure S4A-C). The M1/M2 ratios in THP-1 cells (Fig. 5a), RAW264.7 cells (Fig. 5b) and BMDMs (Fig. 5c) stimulated with KBP were significantly increased compared to those in control cells. The expression of the inflammatory cytokines TNFα and IL-6 was also increased in the supernatant of RAW264.7 cells stimulated with KBP compared to that in unstimulated cells (Fig. 5d). The results of western blotting indicated the increased protein level of iNOS, while the expression of ARG1 was decreased or not significantly changed in the abovementioned monocyte-macrophage cell lines (Fig. 5e-g). Collectively, these results indicate that KBP stimulated the M1 polarization of macrophages both in vivo and in vitro.
KBP promotes M1 polarization via activating the notch Signalling pathway
Further, we explored the effect of KBP on macrophage M1 polarization. The expression of Notch1 was upregulated in the wound bed of KBP-TG mice compared with that in WT mice (Fig. 6a). In RAW264.7 cells, the mRNA expression of Notch1 and its downstream transcription factor or target genes (such as RBP-Jκ, Hes1, Hes5 and Socs3) were increased after KBP treatment (Fig. 6b). DAPT, a Notch signalling inhibitor, repressed the upregulation of Notch1, Hes1, Hes5 and SOCS3 following treatment with KBP (Fig. 6c). The results of immunofluorescent staining of Notch1 were consistent with those above (Additional file 5: Figure S5A), and the expression of delta-like 4 (DLL4, a Notch receptor) was also increased after KBP treatment in RAW264.7 macrophages (Additional file 5: Figure S5B). In addition, DAPT inhibited the expression of iNOS and upregulated the expression of ARG1 via inhibiting the Notch signalling pathway following treatment with recombinant KBP (Fig. 6d). Therefore, inhibition of the Notch signalling pathway reversed the effect of KBP on macrophage polarization. To further explore the molecular mechanism of this effect, we employed three pairs of siRNA sequences that knocked down RBP-Jκ or Hes1, reduced the expression of iNOS and increased ARG1 compared with that in the control in RAW264.7 macrophages (Fig. 6e, g). In addition, macrophages were treated with KBP and siRBP-Jκ 03 or siHes1 03, which was most effective, and the effect of KBP on macrophage polarization was reversed following the interference of RBP-Jκ and Hes1 (Fig. 6f, h). Our observations indicated that KBP promoted the M1 polarization of macrophages through activating the Notch signalling pathway.
Hes1, a downstream target gene of the notch Signalling pathway, does not directly activate iNOS expression
Furthermore, we used a bioinformatics method to predict the possible transcription factors that bind to the promoter region of iNOS via the PROMO website. Bioinformatics prediction indicated that Hes1, a downstream target gene of Notch signalling, could bind to the promoter region of the iNOS gene (Fig. 7a). The mRNA expression of iNOS was decreased after the interference of Hes1 (Additional file 6: Figure S6A). A ChIP assay showed that Hes1 bound to the promoter region of the iNOS gene (Additional file 6: Figure S6B), while a dual-luciferase reporter gene assay indicated that the transcription of iNOS was not activated by Hes1 in 293 T cells (Additional file 6: Figure S6C). Our observation indicated that Hes1 bound the promoter region of the iNOS gene but did not activate the expression of iNOS directly.
KBP promotes the M1 polarization of macrophages via activation of the notch Signalling pathway and the cross-activation of the NF-κB inflammatory Signalling pathway
NF-κB is a classical inflammatory signalling pathway that promotes the M1 polarization of macrophages, and NF-κB is also a possible transcription factor that binds to the promoter region of iNOS (Fig. 7a). The activation of Notch signalling activated the NF-κB signalling pathway in breast cancer cells, and NF-κB activated the transcription of iNOS directly [28]. Our results indicated that KBP promoted the phosphorylation and activation of NF-κB p65 (Fig. 7b, e) as well as the translocation of p65 into the nucleus (Fig. 7c, d). Furthermore, KBP promoted the phosphorylation of inhibitor of κB (IκBα) kinase (IKK) to activate the phosphorylation of downstream IκBα, which inhibits the NF-κB transcription factor and is inactive in its phosphorylated form (Fig. 7e). In addition, KBP downregulated the expression of cylindromatosis tumour-suppressor protein (CYLD) (Fig. 7e), which is a deubiquitinase and negative regulator of NF-κB signalling [39]. Treatment with the NF-κB signalling inhibitor JSH23 and the Notch signalling inhibitor DAPT inhibited the effect of KBP on the activation of the NF-κB signalling pathway (Fig. 7b-e), while the overexpression of Hes1 activated the NF-κB signalling pathway (Fig. 7f). The above results indicated that KBP promoted the M1 polarization of macrophages via activation of Notch signalling and cross-activation of the NF-κB signalling pathway.
KBP upregulates the expression of M-CSF and MCP-1
M-CSF was upregulated in the plasma of KBP-TG mice (Fig. 8a) as well as the supernatant of RAW264.7 macrophages treated with KBP (Fig. 8b). KBP increased M-CSF mRNA expression in RAW264.7 cells (Fig. 8c). In a Transwell migration assay, RAW264.7 cells treated with KBP exhibited increased migration compared to that of the control group (Fig. 8d), which may be associated with the upregulation of MCP-1. Furthermore, the increased expression of MCP-1 was detected in the wounds of KBP-TG mice, especially in the late stage of wound healing, while KBP antibody reversed this phenomenon (Fig. 8e, f). MCP-1 was upregulated in the plasma of KBP-TG mice (Fig. 8g) and the supernatant of the RAW264.7 cells (Fig. 8h), and the mRNA expression of MCP-1 was correspondingly increased (Fig. 8i). Consequently, our results indicated that KBP promoted the differentiation and chemotactic migration of monocytes-macrophages via the upregulation of M-CSF and MCP-1.
Discussion
An excessive inflammatory reaction delays diabetic healing, which is a conjoint cause of amputation in diabetic patients [16, 40]. The molecular basis underlying the pathogenesis of excessive inflammatory reactions in diabetes-induced wound healing deficiency has not been completely illuminated. The present study demonstrated an association between elevated levels of circulating KBP and increased numbers of monocyte-macrophages in DFU for the first time. Furthermore, circulating monocyte-macrophages and macrophage infiltration were upregulated in KBP-TG mice compared to those in control mice. We have demonstrated that 1) high levels of KBP contributed to a delay in wound healing in diabetic mice through regulating monocyte-macrophages that induced an excessive inflammatory reaction and that 2) KBP promoted the M1 polarization of macrophages, resulting in the accumulation of pro-inflammatory M1 macrophages and a prolonged inflammatory state. Our studies suggest for the first time that KBP may promote M1 polarization through activating the Notch and NF-κB signalling pathways and that Hes1 may activate the NF-κB signalling pathway via inhibiting CYLD. These observations established for the first time an association between elevated KBP levels and an excessive inflammatory reaction with delayed diabetic healing and DFU, which may provide a new theoretical basis for and targets to intervene in DFU.
Our previous studies demonstrated that circulating KBP levels were increased in diabetic patients associated with microvascular complications [20, 21]. Here, we revealed that circulating KBP levels were elevated in DM patients, especially DM w/DFU patients, compared to those in nondiabetic individuals, which was associated with elevated monocyte counts (Fig. 1). Furthermore, our results revealed delayed wound healing in KBP-TG mice and recombinant KBP-treated mice compared with that in WT littermates (Fig. 2a-d). This is authoritative evidence suggesting that KBP may be a factor in the regulation of wound healing. To further establish the role of KBP in wound healing, the administration of a KBP-neutralizing antibody was used to block KBP activity, which accelerated wound healing in diabetic mice (Fig. 2e, f). Taken together, these results all suggest that elevated levels of circulating KBP indeed contribute to a delay in wound healing in diabetes.
Diabetic patients have delayed healing characterized by persistent inflammatory responses accompanied by the prolonged accumulation of M1 macrophages, which can eventually necessitate lower limb amputation [16]. Elevated KBP was associated with an increased number of circulating monocytes in diabetic patients with DFU compared with those in diabetic patients without DFU. Therefore, we hypothesized that a high level of KBP might influence persistent inflammatory responses in diabetes through regulating the recruitment and polarization of macrophages. Consistent with this prediction, our study demonstrated that the number of circulating monocytes and macrophage infiltration in the wound were increased in KBP-TG mice compared to those in control mice (Fig. 3a, b, e, g). KBP administration promoted the recruitment of macrophages and M1 polarization in an animal model and various monocyte-macrophage cell lines (Figs. 4 and 5), which suggesting KBP induced the persistent inflammatory responses in diabetic wound tissue. However, previous studies have suggested that KBP has potent anti-inflammatory activities: such as Liu’s study demonstrated KBP decreased inflammatory cell infiltration and TNFα express in the corneal, which represent a superficial angiogenesis and acute inflammation model [41]. While chronic inflammation is a hallmark of impaired diabetic wound healing [42]. These results suggested that KBP may play the diverse roles in different patterns of inflammation. Our results confirmed that the polarization and recruitment of macrophages are crucial in the inflammatory response during wound healing [10–12]. Nevertheless, the underlying molecular mechanism is not well understood.
Notch signalling plays a pivotal role in regulating the development and differentiation of monocyte-macrophages [23, 24]. Increased M1 macrophage infiltration was correlated with the activation of Notch signalling in the wounds of KBP-TG mice (Fig. 6A). To further confirm that Notch signalling contributes to macrophage polarization, DAPT, an inhibitor of the Notch pathway, and knockdown of the transcription factor RBP-Jκ and Hes1 by siRNA were employed to explore the effects of KBP on Notch signalling. DAPT downregulated the expression of iNOS and upregulated the expression of ARG1 via inhibiting the Notch signalling pathway under KBP treatment (Fig. 6b-h). Taken together, our observations indicate for the first time that KBP promoted the M1 polarization of macrophages through activating the Notch signalling pathway.
Bioinformatics prediction and a ChIP assay showed that Hes1 could bind to the promoter of iNOS, while a dual-luciferase reporter gene assay showed that Hes1 could not activate the expression of iNOS directly (Additional file 6: Figure S6). Since Hes1 could not activate iNOS expression directly, we wondered whether KBP activated iNOS expression via an indirect pathway. The NF-κB signalling pathway, which is a classic pathway that promotes the M1 polarization of macrophages, is closely related to the inflammatory response [13, 43]. Hes1, which is downstream of Notch signalling, can inhibit the transcription of the deubiquitinase CYLD, which negatively regulates IKK [44]. CYLD inhibits the ubiquitination of TNFα receptor-associated factor (TRAF6), while TRAF6 conjugated to a Lys-63 (K63)-linked polyubiquitin chain is required for the activation of IKK and downstream signalling events [45–47]. KBP activated the Notch signalling pathway to upregulate Hes1, which inhibited the expression of CYLD to activate the phosphorylation of IKK in macrophages. After the activation of IKK, NF-κB signalling was activated, and the subsequent nuclear translocation of p65 further promotes iNOS expression, which keeps macrophages in an M1 polarization state (Fig. 7e, f). We first discovered the effect of KBP in promoting the M1 polarization of macrophages by cross-activating the Notch pathway and NF-κB signalling pathways (Additional file 7: Figure S1). A similar mechanism was also found in breast cancer cells [28].
Macrophages come from monocytes and upstream progenitor cells that are regulated by M-CSF [5]. In wounded tissue, macrophage recruitment depended on the ischaemia-induced upregulation of MCP-1 and the increased expression of CCR2 on the cell surface. We also explored the possible mechanism by which KBP regulates monocyte-macrophage numbers. Since the differentiation, mobilization and recruitment of macrophages are regulated by M-CSF and MCP-1, we found the increased expression of M-CSF and MCP-1 following treatment with recombinant KBP in KBP-TG mice (Fig. 8). The detailed mechanism by which KBP regulates M-CSF and MCP-1 remains to be clarified in the future.
Conclusions
As shown by these results, KBP aggravated the inflammatory response in wound tissue by targeting macrophages. We first demonstrated that a high level of KBP in DFUs activated Notch signalling and the NF-κB signalling pathway, leading to M1 polarization, increased numbers of macrophages in the wound, and, consequently, excessive inflammatory reactions during wound healing. These activities contribute to a delay in wound healing in diabetic patients. Hence, the blockade of KBP may benefit DFU treatment and prevent amputation.
Additional files
Acknowledgements
Not applicable.
Abbreviations
- ARG1
Arginase-1
- CCR2
Chemokine receptor 2
- DFU
Diabetic foot ulcer
- DM w/DFU
Diabetic patients with diabetic foot ulcer
- DM w/o DFU
Diabetic patients without diabetic foot ulcer
- IKK
Inhibitor of κB kinase
- iNOS
Nitric oxide synthase
- IκBα
Inhibitor of κB
- KBP
Kallikrein-binding protein
- MCP-1
Monocyte chemoattractant protein-1
- M-CSF
Macrophage colony-stimulating factor
- NDM
Nondiabetic control
- NICD
Notch intracellular domain
Authors’ contributions
WQ, GG, XY, and LY were involved in the conception and design of the study. JF, CD, YL, LM, MR and LL were responsible for conducting the experiments. JF and WQ drafted the manuscript, and GG, JM, TZ and ZY revised the manuscript. JF, CD, and WQ were responsible for data analysis. All authors contributed to the interpretation of data and provided revisions to the manuscript. All authors read and approved the final manuscript.
Funding
This study was supported by the National Nature Science Foundation of China, grant numbers: 81600641, 81471033, 81572342, 81770808, 81370945, 81570871, 81570764, 81572409, and 81872165; the National Key SciTech Special Project of China, grant numbers: 2013ZX09102–053 and 2015GKS-355; the Key Project of Nature Science Foundation of Guangdong Province, China, grant numbers: 2015A030311043 and 2016A030311035; the Guangdong Natural Science Fund, grant numbers: 2014A020212023, 2014A030313073, 2015A030313029, 2015A030313103, and 2015A030313010; the Guangdong Science Technology Project, grant numbers: 2017A020215075 and 2015B090903063; Initiate Research Funds for the Central Universities of China (Youth Program), grant numbers: 14ykpy05, and 16ykpy24; the Key Sci-tech Research Project of Guangzhou Municipality, China, grant numbers: 201508020033, 201707010084, 201803010017, and 201807010069; the Pearl River Nova Program of Guangzhou Municipality, China, grant number: 201610010186; and the 2017, and 2019 Milstein Medical Asian American Partnership Foundation Research Project Award in Translational Medicine.
Availability of data and materials
All data generated or analysed during this study are included in this published article and its supplementary information files.
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
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Juan Feng and Chang Dong contributed equally to this work.
Contributor Information
Juan Feng, Email: fengjuan0220@126.com.
Chang Dong, Email: dongch3@mail2.sysu.edu.cn.
Yanlan Long, Email: lyl13246860210@outlook.com.
Lifang Mai, Email: mlf-1999@163.com.
Meng Ren, Email: renmeng@139.com.
Lingyi Li, Email: 851558794@qq.com.
Ti Zhou, Email: zhouti2@mail.sysu.edu.cn.
Zhonghan Yang, Email: yangzhonghan@163.com.
Jianxing Ma, Email: Jian-Xing-Ma@ouhsc.edu.
Li Yan, Email: hfxyl@163.net.
Xia Yang, Phone: 86-20-87332128, Email: yangxia@mail.sysu.edu.cn.
Guoquan Gao, Phone: 86-20-87332128, Email: gaogq@mail.sysu.edu.cn.
Weiwei Qi, Phone: 86-20-87332128, Email: qiww3@mail.sysu.edu.cn.
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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
All data generated or analysed during this study are included in this published article and its supplementary information files.