Abstract

Background. Diabetes is associated with chronic inflammation, and dendritic cells (DCs) have proinflammatory effect in diabetes. The anti-inflammatory effect of insulin on diabetes is not entirely clear. The study aims to examine insulin-induced effects on the inflammatory response in DCs. Methods. Twenty-one C57BL/6 mice were divided into 3 groups. Streptozotocin was injected into the diabetic mice model. The bone marrow-derived DCs (BMDCs) were obtained from C57BL/6 mice. CD83, CD86, and type II major histocompatibility complex (MHC-II) of BMDCs were measured by flow cytometry. The fluctuations in the RNA levels of cytokines and chemokines were analyzed by quantitative RT-PCR. The concentrations of IFN-γ and TNF-α were calculated using ELISA kits, and the proteins were detected using western blot. Results. In CD11c+ DCs derived from the spleens with hyperglycemia, the expression of CD83 and CD86 in diabetic mice was significantly upregulated, coupled with a higher secretion level of cytokines and chemokines, and increased phosphorylation of NF-κB and IκB. Insulin therapy was found to have a reversal effect on the inflammatory response and immune maturation in DCs. In AGEs-BSA-stimulated BMDCs, insulin repressed the immune maturation and downregulated the expression of RAGE, phospho-PKCβ1, and serine phospho-IRS1 in an adose-dependent manner. Such effects can be abolished by PMA, but not IR-neutralizing antibody. AGEs-BSA-induced BMDCs immune maturation was inhibited by the neutralizing antibody of RAGE, the PKCβ1 inhibitor, or the IRS1 siRNA. Conclusions. Insulin has the capability of attenuating the inflammatory response of DCs in diabetes, partly through the downregulation of RAGE expression followed by the inhibition of PKCβ1 phosphorylation and IRS1 serine phosphorylation, resulting in the inactivation of IR binding-independent NF-κB. This might partly explain the antiatherogenic effect of insulin on diabetes.

1. Introduction

The prevalence of diabetes has been increasing especially in Asian countries. The disease is associated with severe atherosclerosis [1, 2] and other cardiovascular diseases [3], accounting for a high rate in mortality and mobility. Low-level cellular inflammatory events [4, 5], such as increased tumor necrosis factor- (TNF-) α [6], C-reactive protein (CRP) [7], and interleukin- (IL-) 6 [6], have been reported to be associated with diabetes and considered to be mainly attributed to the onset of vascular complications.

Dendritic cells (DCs) are the only specialized antigen-presenting cells during inflammatory response [8]. Sufficient data [9, 10] have suggested an active role of DCs in the progression of atherosclerosis. In agreement with this, our previous study demonstrated a significantly higher amount of circulating active DCs in type 2 diabetic than in those nondiabetic patients with unstable angina pectoris (UAP) [11]. This observation could be due to the immune maturation of DCs induced by advanced glycosylation end-bovine serum albumin (AGEs-BSA) [12] or hyperinsulinemia [13], which in turn stimulate T cell proliferation and cytokine secretions. Thus, DCs may play a role in promoting inflammation and atherogenesis in diabetes.

Insulin therapy has been identified as the most effective approach in controlling hyperglycemia in diabetic patients. It was reported that insulin could exert an anti-inflammatory effect [14, 15] by inhibiting nuclear factor- (NF-) κB [16] signaling pathway, causing antiatherogenis [17]. However, insulin could impair insulin signaling pathway, augment proinflammatory factor and oxidative stress [18], and promote macrophage foam cell formation [19], which may collectively cause the acceleration of atherosclerosis process [20, 21]. Nevertheless, the effect of insulin therapy in attenuating the inflammatory response of DCs in diabetes is relatively unknown.

This study aims to investigate the role of insulin in attenuating the DC-mediated immune inflammatory response in diabetes and to dissect the underlying molecular mechanism.

2. Methods

2.1. Animals and Spleen CD11c+ DC Separation

Twenty-one 8-week-old C57BL/6 mice of approximately 20 g in weight were housed in a temperature-controlled room under a 12 hour light and dark circadian cycle, with access to water and food ad libitum (Animal Administration Center of Fudan University, Shanghai, China). Fourteen mice received an intraperitoneal injection of streptozotocin (STZ, 80 mg/kg, Sigma, St Louis, MO, USA) daily for one week, after which they were maintained under the same condition for one week before their blood glucose levels were monitored. Those with fasting blood glucose levels over 13 mM were deemed diabetic [22], seven of which received a corresponding dose of insulin subcutaneously to bring their blood glucose levels down to normal, for a total duration of 8 weeks before the body weights were measured.

The animals were anesthetized with isoflurane (5% for induction and 1% for maintenance) for blood collection before euthanization by CO2 inhalation. Subsequently, the spleens were crushed for the purification of CD11c+ DCs using anti-CD11c+ microbeads (MiltenyiBiotec, Bergish Gladbach, Germany).

All animal experimental procedures were approved by the Animal Care and Use Committee of Fudan University and performed in strict adherence to the Guide for the Care and Use of Laboratory Animals (NIH publication no. 85-23, National Academy Press, Washington, DC, USA, revised 1996).

2.2. Glucose Tolerance Test (GTT) and Insulin Tolerance Test (ITT)

The diabetic mice fasted for 6 hours and 12 hours, respectively, before ITT and GTT experiments [23]. It is deployed as the basal blood glucose levels (0 min) before the gavage of glucose (1.8 g/kg bodyweight) or injected intraperitoneally with insulin (0.8 U/kg bodyweight). Additional blood glucose concentrations were then determined at time points of 30, 60, 90, and 120 min post gavage or injected.

2.3. Cell Culture

Bone marrow-derived DCs (BMDCs) were obtained from C57BL/6 mice. Bone marrow progenitors were cultured in 1640 medium containing 10 ng/ml granulocyte-macrophage colony-stimulating factor (GM-CSF; R & D Systems, Minneapolis, MN, USA) and 1 ng/ml IL-4 (R & D Systems, Minneapolis, MN, USA). The nonadherent cells were gently washed out immediately after 24 hrs. The remaining loosely adherent clusters were cultured by changing the medium with fresh medium every other day. On day 6, the cells were stimulated by 200 μg/ml AGEs-BSA (BioVision, Palo Alto, CA, USA) for 48 hrs, with or without the interference of insulin.

2.4. RAGE/IR Neutralization and PKC Interference

In order to understand the role of receptor for advanced glycation end products (RAGE) in the immune maturation of BMDC and to dissect the function of insulin receptor (IR) during insulin treatment, BMDCs were pretreated with 100 μg/ml anti-RAGE neutralizing antibody (R & D Systems, Minneapolis, MN, USA) or 50 μg/ml anti-IR neutralizing antibody (GeneTex, San Antonio, TX, USA) for 1 hr before undergoing further treatment with AGEs-BSA and insulin for 48 hrs. The effects of protein kinase C- (PKC-) β1 on immune maturation were examined by pretreating the BMDCs with 50 ng/ml phorbol esters (PMA, Sigma, St Louis, MO, USA) for 15 mins before stimulation with AGEs-BSA and insulin or costimulation with 4 μM CGP53353 (Sigma, St Louis, MO, USA) for 48 hrs. The immune maturation was examined by flow cytometry, real-time quantitative RT-PCR, ELISA, and western blot.

2.5. Cell Transfection of siRNA-IRS1

Cells were transfected with 100 nM of siRNA-IRS1 (Applied Biosystems, Foster City, CA, USA). BMDCs () were seeded on 6-well plates. The cells were mixed with 100 μl of OptiMEM (Gibco, Grand Island, NY, USA) before being pulsed using Gene Pulser Xcell (400 V, 150 μF, 100 Ω; Bio-Rad, Hercules, CA, USA) in a 4 mm cuvette (Molecular BioProducts, San Diego, CA, USA) [24]. The cells were transferred to RPMI-1640 medium before an equal amount of RPMI-1640 containing 20% FBS was added 1 hr later.

2.6. Flow Cytometry Measurement

Harvested BMDCs () were washed before incubation with PE-conjugated-CD83, FITC-conjugated-CD86, and APC-conjugated-MHC-II (BD Pharmingen, San Diego, CA, USA) monoclonal antibodies for 30 minutes at 4°C. Then, the cells were washed before analysis using a flow cytometer. The cells stained with the appropriate isotype-matched immunoglobulin were used as negative controls.

2.7. Quantitative RT-PCR

Total RNA was generally extracted using TRIzol reagent (Invitrogen, Carlsbad, CA, USA). The RNA used for quantitative RT-PCR analyses was extracted using SYBR RT-PCR kit (Takara, Dalian, China). The primer sequences for the genes of cytokines (IL-12a, IL-6, IL-1b, IFN-γ, and TNF-α), chemokines (CCL2, CCL3, CCL4, and CXCR4), and GAPDH used in this study are listed below. The relative expression levels of the genes were normalized to those of GAPDH using the 2-ΔΔCt cycle threshold.

2.8. Quantification of Cytokine Production by ELISA

The plasma and supernatant fractions of BMDCs were harvested and stored at -80°C before use. The IFN-γ, TNF-α, IL-6, IL-1b, and CCL2 concentrations were analyzed using ELISA kits according to the manufacturer’s instruction (R & D Systems, Minneapolis, MN, USA).

2.9. Western Blot

The concentrations of total protein extracted from harvested BMDCs were determined by BCA assays. The RAGE, phosphorylated- (phospho-) NF-κB, NF-κB, phospho-IκB, IκB, serine phospho-insulin receptor subunit-1 (IRS1) (1 : 1000, cell signal technology, Danvers, MA, USA), serine phospho-IRS2 (1 : 1000, Sigma, USA), phospho-PKCα, phospho-PKCβ1, phospho-PKCβ2 (1 : 300, Santa Cruz, CA, USA), and phospho-PKCγ (1 : 1000, Abcam, Cambridge, UK) were examined by western blot as described previously [25, 26]. The optical densities were analyzed using ImagePro 5.0 (Media Cybernetics, Inc., Silver Spring, MD, USA) and normalized against β-actin or GAPDH.

2.10. Statistical Analysis

The results were presented as and analyzed using one-way ANOVA followed by Fisher’s LSD test for multiple comparisons using the SPSS software package, version 16.0 (SPSS Inc., Chicago, IL, USA). A value of <0.05 is considered as statistically significant.

3. Results

3.1. Insulin Therapy Lowered the Plasma Glucose Level and Increased the Body Weight of Diabetic Mice

In addition to measuring fasting blood glucose in mice, this study also identified diabetic mice through ITT and GTT experiments. After gavage of glucose, the blood glucose levels were remarkably increased at 30 min in two groups. Plasma glucose levels in both groups continued to decrease within 30 to 120 min, but it failed to return to baseline after 120 min in the DM group (Figure 1(a)). In addition, insulin tolerance in the DM group also decreased significantly (Figure 1(b)). Diabetes mellitus mouse models were successfully established. The diabetic mice developed a significantly elevated blood glucose level (fasting and postprandial) with a reduced body weight of 30.8% compared with those of the controls. Insulin therapy significantly lowered the blood glucose to a normal level (Figure 1(c)) and stopped the loss of body weight by 35.7% (Figure 1(d)). The concentrations of IL-6, IL-1b, IFN-γ, TNF-α, and CCL2 in the plasma of diabetic mice were increased by 185.0%, 199.3%, 133.7%, 157.1%, and 135.8%, respectively (Figure 1(e)).

3.2. Insulin Therapy Can Reverse the Immune Maturation Promoted by CD11c+ DCs in Diabetic Mice with Hyperglycemia

In this study, spleen DC, which is the most studied lymphoid tissue DCs, was selected to evaluate the immune maturation of DCs in DM mice. In spleen-derived CD11c+ DCs, although the expression of MHC-II only increased marginally, CD83 and CD86 had an enhanced expression by 139.1% and 28.3%, respectively (Figure 2(a)). While the expression of IL-10 decreased and proinflammatory cytokines (IL-12a, IL-6, IL-1b, IFN-γ, and TNF-α) and chemokines (CCL2, CCL3, CCL4, and CXCR4) increased significantly (Figures 2(b) and 2(c)), phosphorylated IκB and NF-κB showed an enhanced expression by 237.1% and 200.1%, respectively (Figure 2(d)). These data demonstrated an activated immune inflammatory response in the DCs of diabetic mice with hyperglycemia. However, insulin therapy was able to ameliorate the inflammatory response and immune maturation of DCs (Figure 2).

3.3. Insulin Attenuated AGEs-BSA-Stimulated Immune Maturation of BMDCs in a Dose-Dependent Manner

DCs derived from bone marrow pluripotent hematopoietic stem cells. In this study, BMDCs stimulated by GM-CSF were selected for in vitro experiments. Under the stimulation of AGEs-BSA, the expression levels of CD83 and CD86 were significantly upregulated by 65.8% and 33.7%, respectively, similar to those of inflammatory cytokines, including IL-6, IL-1b, IFN-γ, and TNF-α and chemokines, such as CCL2, CCL3, CCL4, and CXCR4 when compared with BSA controls, while anti-inflammatory cytokine IL-10 decreased (Figures 3(a), 3(c), and 3(d)). Meanwhile, phosphorylated IκB and NF-κB had an increased expression by 36.0% and 121.0%, respectively, under the same condition (Figures 3(e) and 3(f)). Insulin exerted an inhibitory effect on the expression of CD83 and CD86 in a dose-dependent manner. For cytokines, insulin upregulated the expression of IL-10 and attenuated the expression of AGEs-BSA-induced IL-1b, IFN-γ, and TNF-α. The altered levels of TNF-α, IFN-γ, IL-6, IL-1b, and CCL2 were further verified by ELISA (Figure 3(b)). Similarly, the expression of phosphorylated IκB and NF-κB also decreased significantly in-line with the dosage of insulin used (Figures 3(e) and 3(f)). In addition, insulin at 800 nM exerted the highest level of inhibitory effect on the immune maturation of AGEs-BSA-stimulated BMDCs.

3.4. Insulin Dose Dependently Decreased the AGEs-BSA-Induced Expression of RAGE and Phosphorylation of PKCβ1 and IRS1

High ambient glucose concentrations activate PKC by increasing the formation of diacylglycerol (DAG), the major endogenous cellular cofactor for PKC activation. When PKC is activated by intracellular hyperglycemia, it has a variety of effects on gene expression. So we explored the PKC signaling pathway. The expression of RAGE was significantly augmented by 128.1% in AGEs-BSA-stimulated BMDCs when compared against BSA controls. Furthermore, while the phosphorylation of PKCγ remains unchanged, it was upregulated by 163.2%, 110.7%, and 84.5%, respectively, for PKCα, PKCβ1, and PKCβ2. Similarly, serine phosphorylation of IRS1 was increased under the same condition. However, insulin treatment significantly decreased the expression of RAGE, phosphorylation of PKCβ1, and serine phosphorylation of IRS1 in a dose-dependent manner (Figures 3(g) and 3(h)), while the levels of upregulated PKCα and PKCβ2 phosphorylation remain unaltered. These observations suggested that insulin could restore the impaired signaling pathway by attenuating the stimulation effect of AGEs-BSA in the phosphorylation of PKCβ1, but not PKCα and PKCβ2. AGEs significantly upregulated the expression of phosphorylated IRS2, while insulin had no significantly effect on phosphorylated IRS2 (Figure 3(i)).

3.5. The Suppressing Effect of RAGE Neutralizing Antibody on AGEs-BSA-Induced Immune Maturation and Phosphorylation of PKCβ1 in BMDCs

To verify the role of RAGE in the immune maturation of AGEs-BSA-stimulated BMDCs, the expression levels of CD83, CD86, and secreted cytokines and chemotactic factors were examined with or without anti-RAGE neutralizing antibody. It was found that the upregulated CD83, CD86, and secreted cytokines and chemotactic factors were all reversed by RAGE neutralizing antibody (Figures 4(a)4(d)). PKC activation causes activation of the NF-κB signaling pathway and increases expression of proinflammatory genes. In this study, the enhanced phosphorylation of IκB and NF-κB was decreased by 59.4% and 45.2%, respectively, following treatment with anti-RAGE neutralizing antibody, suggesting an active role of RAGE in AGEs-BSA-stimulated immune maturation and inflammatory response BMDCs, while a 57.3% drop of PKCβ1 phosphorylation may be attributed to RAGE. Besides, anti-RAGE neutralizing antibody also inhibits the phosphorylation of IκB, NF-κB, and PKCβ1 without AGEs-BSA (Figure 4(e)).

3.6. The Role of PKCβ1 in AGEs-BSA-Stimulated Immune Maturation and IRS1 Serine Phosphorylation in BMDCs

Since AGEs-BSA-stimulated PKCβ1 phosphorylation in BMDCs could be attenuated by insulin, it may be one of the main underlying mechanisms during immune maturation. To verify this hypothesis, we first examined the effect of direct PKCβ1 inhibition using CGP53353 without insulin on the AGEs-BSA-stimulated immune maturation in BMDCs. The results revealed that, while the upregulated expression of CD83 and CD86 was attenuated by 58.5% and 33.2%, respectively, the secretion of cytokine and chemokine was also reversed in BMDCs (Figures 5(a)5(d)). Furthermore, the phosphorylation of NF-κB and IκB was found to be downregulated following direct PKCβ1 inhibition (Figure 5(f)). Similarly, the serine phosphorylation of IRS1 was found to be decreased upon direct PKCβ1 inhibition (Figure 5(e)). The findings suggested that PKCβ1 inhibition could repress the AGEs-BSA-stimulated immune maturation in BMDCs.

PMA, one of PKC agonists, when preconditioned for 15 min, however, abolished the suppressing effect of insulin on AGEs-BSA-stimulated immune maturation in BMDCs, thus further verified the important role of PKCβ1.

3.7. The Role of IR and IRS1 in AGEs-BSA-Stimulated Immune Maturation in BMDCs

In the insulin signaling pathway, following the binding of insulin and IR, the tyrosine residue of IRS1 is phosphorylated to activate the PI3K-AKT pathway. In order to exclude the effect of IR, IR-neutralizing antibody was used with or without insulin in the AGEs-BSA-stimulated BMDCs. The results showed that the IR-neutralizing antibody had no impact on the suppressing effect of insulin (Figure 6), suggesting that the suppressing effect of insulin may be independent of traditional IR binding pathway.

In order to verify whether IRS1 plays a key role in during insulin treatment, IRS1 siRNA was applied to the AGEs-BSA-stimulated BMDCs without insulin. The results revealed that, while IRS1 siRNA attenuated the expression of AGEs-BSA-stimulated CD83 and CD86 by 48.3% and 30.2%, respectively, the secretion of cytokine and chemokine in BMDCs was also significantly reversed (Figures 6(a)6(d)). Furthermore, the phosphorylation of NF-κB and IκB was found to be downregulated after IRS1 silencing (Figure 6(e)). Insulin treatment and IRS1 silencing showed no significant impact on the suppression of AGEs-BSA-stimulated immune maturation in BMDCs and phosphorylation of NF-κB and IκB (Figure 6(f)). Taken together, the results suggested that IRS1 silencing could repress the AGEs-BSA-stimulated immune maturation in BMDCs, thus playing a key role in the activation of NF-κB.

4. Discussion

Most patients with diabetes, although under treatment, tend to develop severe atherosclerosis [1, 2] and cardiovascular diseases [3] . Low-grade inflammation [4, 5], which is a critical event during atherosclerosis development, has been regarded as an important characteristic in diabetes. The exact mechanism of insulin therapy in antiatherogenis [17] or atherogenis [20] reported so far seem to be controversial. In addition, whether insulin therapy is able to attenuate the inflammatory response of DCs in diabetes has not been addressed.

The diabetic mice in this study developed an elevated level of plasma glucose, a reduction in body weight coupled with an increased level of plasma cytokines (TNF-α and IFN-γ), suggesting that increased inflammatory response can occur in diabetes. Moreover, the immune maturation of CD11c+ DCs from the spleens of diabetic mice was significantly upregulated, indicating that the immune maturation of DCs may play a crucial role of in diabetic inflammatory response. However, insulin therapy effectively attenuated the immune maturation of DCs, which in turn inhibited the inflammatory response in the diabetic mice. In addition, insulin can attenuate AGEs-BSA-stimulated immune maturation of DCs in a dose-dependent manner by regulating RAGE-PKCβ1-IRS1-NF-κB signaling pathway, which is independent of IR binding. The possible underlying mechanism is illustrated in Figure 7.

Previous studies [4, 27] have shown that diabetes can develop low-level inflammation that is unrelated with obesity and poor glycemic control [4]. However, the effect of antidiabetic therapy on the attenuation of inflammation in diabetes is not entirely clear. Fantin [28] reported that 24 hrs of continuous insulin infusion, although insignificantly, attenuated the rise of inflammation biomarkers such as IL-6 and CRP and prevented hyperglycemia in patients with diabetes who received percutaneous coronary intervention (PCI) with stent. Rakel [29] demonstrated the use of glibenclamide in controlling hyperglycemia effectively in diabetes, but there was an increased level of soluble intercellular adhesion molecule and CRP in plasma. However, sufficient data have demonstrated the use of thiazolidinedione class of oral antidiabetic agents [30, 31] or insulin therapy [32] in downregulating the expressions of inflammatory cytokines with success, and the effect was independent of the reduction in blood glucose as a result of the treatment [14].

The role of insulin in triggering an anti-inflammatory effect in diabetes was verified in this study. Our data demonstrated that 8-week insulin therapy could significantly downregulate plasma TNF-α and IFN-γ in STZ-induced diabetic mice. Previous investigations that involved subjects of study with various diabetic time span, different antidiabetic agents, or therapeutic courses have caused much confusion in explaining the anti-inflammatory effect of antidiabetic agents, that is independent of the treatment effect in lowering the blood glucose [14]. This may also explain why intensive glycemic control failed to support macrovascular events substantially because the inflammatory mechanism was not tested in ADVANCE (Action in Diabetes and Vascular Disease: Preterax and Diamicron MR Controlled Evaluation) [33], even without increased hypoglycemia and body weight gain.

A previous literature [34] has shown an increased number of DCs in atherosclerotic arteries. AGEs were reported to exert a proinflammation effect and may be associated with the onset of diabetic atherosclerosis [35]. Our previous investigation [12] has demonstrated a role of AGEs in inducing the maturation of DCs to enhance their activity in priming naive T cells for type 1 cytokine response and cell-mediated immunity through the upregulation of RAGE and scavenger receptor-A, partly via c-jun n-terminal kinase (JNK) signaling pathway. In this study, insulin was found to be able to dose dependently inhibit the AGEs-BSA-induced expression of CD83 and CD86; attenuate cytokines (IL-12a, IL-6, IL-1b, IFN-γ, and TNF-α) and chemokines (CCL2, CCL3, CCL4, and CXCR4); and decrease IκB and NF-κB phosphorylation. Furthermore, the inhibitory effect of insulin was verified in the CD11c+ DCs from the spleen of diabetic mice treated with insulin. Our findings indicated that insulin therapy may exert an anti-inflammatory effect by repressing the maturation of DCs and the primary immune system, which ultimately result in antiatherogenesis.

In our previous literature [13], however, we reported that hyperinsulinemia could stimulate the immune maturation of monocyte-derived DCs via both phosphatidylinositol 3-hydroxy kinase and mitogen-activated protein kinase pathways. The discrepancies between the results from our previous findings and this study could be attributed to different antigen stimulations that are associated with different signaling pathways. In our previous study, insulin was used as the antigen to stimulate DCs by binding to the insulin receptor, which then impairs the insulin signaling pathway, to promote inflammation. In this study, AGEs-BSA was used as the antigen to stimulate DCs instead. The partial binding of insulin to the insulin receptor exerted a major inhibitory effect on the significantly upregulated expression of RAGE that was stimulated by AGEs-BSA [12], and hence neutralizing the harmful effects of inflammation. In this study, we have also identified that the suppressing effect of insulin was independent of the IR binding signaling pathway.

The findings in this study are also in agreement with the results from a previous study [12] that reported about the upregulated expression of RAGE in AGEs-BSA-stimulated DCs. The activation of protein kinase C, which phosphorylates serine and threonine, was reported to be one of the pathophysiologic features in diabetes [36] that plays a crucial role in the development of diabetic complications [37]. Here, the upregulated PKCβ1 phosphorylation through AGEs-BSA stimulation was found to be abolished by RAGE neutralizing antibody treatment, indicating that PKCβ1 phosphorylation could be regulated by RAGE. Furthermore, our results also showed that insulin treatment significantly attenuated the upregulated RAGE, causing dephosphorylation of PKCβ1. The regulation of PKCβ1 activity could contribute to the phosphorylation of serine and threonine in some key signal molecules.

With an impaired insulin signaling pathway and an increased level of inflammatory factors being the main causative factors, insulin resistance has been reported to be associated with the development of atherosclerosis [21]. It was reported [38] that glycated albumin in humans could increase the PKCα activity and promote an increased serine/threonine phosphorylation in IRS1 and IRS2. Furthermore, PKCθ was identified to have the capacity to phosphorylate the serine residue of IRS1, and thus impair the insulin signal pathway. In this study, an increased level of serine phosphorylation in IRS1 was observed in AGEs-BSA-stimulated BMDCs, together with an increased activity of PKCβ1. However, in a similar manner to that of direct PKCβ1 inhibitor, insulin treatment significantly attenuated the serine phosphorylation in IRS1, which could then be abolished by PMA. These findings suggested that, in DCs, insulin could ameliorate the impaired insulin signaling pathway through the dephosphorylation of PKCβ1, which in turn deactivates NF-κB (Figure 7) to exert an anti-inflammation effect. Additionally, our results also suggested PKCβ1 as a potential new therapeutic target for AGEs-BSA-stimulated immune inflammation in diabetic atherosclerosis.

It is worth noting that insulin treatment significantly decreases phosphorylation of PKCβ1, while PKCα and PKCβ2 phosphorylation does not change. To the best of our knowledge, this is the first time this phenomenon has been reported. Previous studies have confirmed that insulin treatment can activate PKCα [39], contrary to the results of this study. In the present study, we used BMDCs for insulin treatment, not cardiomyocytes. Besides, insulin treatment time, in this study, was 48 hours instead of 30 minutes. Activation of PKCβ is linked to inflammation, when PKCβ1 and β2 isoforms might be candidates for insulin receptor inhibition [40]. However, there is little research on the relationship between PKCβ1/2 and insulin therapy. Further research is required on these aspects.

At this stage, we are unable to demonstrate whether insulin plays a role in the downregulation of RAGE expression or interference of the binding between AGEs-BSA and RAGE. Moreover, our research was conducted based on type I diabetes mellitus, which merits further investigations by including clinical type II diabetes mellitus.

5. Conclusion

In conclusion, insulin therapy was proven to exert a protective effect on the inflammatory response in diabetes, partly by attenuating the immune maturation of DCs and mediating the RAGE-PKCβ1-IRS1-NF-κB signaling pathway. Our discovery provided additional information about the pleiotropic effect of insulin. A better understanding on the significance merits further investigation on the antiatherogenic effect of insulin in atherosclerosis in vivo.

Data Availability

The all data used to support the findings of this study are available from the corresponding author upon request.

Conflicts of Interest

The authors declare no conflicts of interests.

Authors’ Contributions

W.B.Z. designed the study, contributed to the analysis, and reviewed the manuscript. L.D.Z., Ya Li, and Q.B.L. did the cell experiments, contributed to the animal experiments and analysis, and wrote the manuscript. M.W., Yi Luan, and J.S. did the animal experiments, contributed to the analysis, and edited the manuscript. All authors contributed to the discussion and reviewed or edited the manuscript. W.B.Z. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Liding Zhao, Ya Li, and Qingbo Lv contributed equally to this work.

Acknowledgments

This work was supported by the Zhejiang Natural Science Fund (LY18H020007) and the National Natural Science Foundation of China (81800212 and 81700213).