Galangin and Pinocembrin from Propolis Ameliorate Insulin Resistance in HepG2 Cells via Regulating Akt/mTOR Signaling

Liu, Yinkang; Liang, Xiali; Zhang, Gensheng; Kong, Lingjie; Peng, Wenjun; Zhang, Hongcheng

doi:https://doi.org/10.1155/2018/7971842

Evidence-Based Complementary and Alternative Medicine

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Abstract Introduction Materials and Methods Discussion Conclusions Abbreviations Data Availability Conflicts of Interest Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2018 | Article ID 7971842 | https://doi.org/10.1155/2018/7971842

Galangin and Pinocembrin from Propolis Ameliorate Insulin Resistance in HepG2 Cells via Regulating Akt/mTOR Signaling

Yinkang Liu,^1,2Xiali Liang,¹Gensheng Zhang,²Lingjie Kong,^1,3Wenjun Peng ,^1,3and Hongcheng Zhang^1,2,3

Academic Editor: Nunziatina De Tommasi

Received10 Jul 2018

Accepted16 Oct 2018

Published21 Oct 2018

Abstract

Insulin resistance has a critical role in type 2 diabetes. The aim of this study was to investigate the effect of pinobanksin, galangin, chrysin, and pinocembrin from propolis on insulin resistance. Our study shows that galangin and pinocembrin can ameliorate insulin resistance; on the contrary, pinobanksin and chrysin are ineffective. Galangin and pinocembrin treatments substantially increase glucose consumption and glycogen content by enhancing the activities of hexokinase and pyruvate kinase. Galangin treatment with 80 μM increased hexokinase and pyruvate kinase activities by 21.94% and 29.12%, respectively. Moreover, we hypothesize that galangin and pinocembrin may have a synergistic effect on the improvement of insulin resistance via Akt/mTOR signaling pathway, through distinctly upregulating the phosphorylation of IR, Akt, and GSK3β and remarkably downregulating the phosphorylation of IRS. Most notably, this is the first study to our knowledge to investigate pinocembrin about the alleviation of insulin resistance. Our results provide compelling evidence for the depth development of propolis products to ameliorate insulin resistance.

1. Introduction

Diabetes mellitus refers to a group of serious chronic metabolic disorders, characterized by hyperglycemia. Nowadays, diabetes mellitus has emerged as a major global public health problem. The prevalence and incidence of diabetes mellitus have been experiencing rapid growth over recent decades. It is estimated that the total number of diabetes aged 20–79 years will rise from 415 million in 2015 to 642 million in 2040 [1]. Moreover, approximately 90–95% of diabetic individuals suffer from type 2 diabetes mellitus (T2DM). T2DM is characterized by impairment in pancreatic β-cell and insulin resistance in target organs. Insulin resistance can cause many severe complications, for example, hypertension, coronary heart disease, and so on. Thus, the treatments of insulin resistance seem to be worthy of more attention and investigation.

Propolis is often defined as natural complex substance collected by Apis mellifera and widely used as the medical and healthcare due to a wide range of biological properties. Indeed, several studies have demonstrated that propolis possesses antimicrobial [2], antioxidative [3], anti-inflammatory [4], and antitumor [5] capacities. In recent years, a strong relationship between propolis and insulin resistance has been reported in the literatures. For instance, Chinese propolis can have an appreciable impact on controlling blood glucose, modulating lipid metabolism, and improving insulin sensitivity in T2DM rats [6]. In addition, the extract of Brazilian propolis did not impact body weight gain and food intake in ob/ob mice, but insulin resistance was significantly reduced [7]. Overall, the findings indicate that propolis seem to play an essential role in the treatment of insulin resistance. However, these studies have tended to focus on the effect of propolis or propolis extract rather than individual propolis compounds.

Flavonoids present widely in certain food and healthcare products and have been applied in ameliorating insulin resistance. Previous research has noted that flavonoids play a critical role in signaling pathways related to insulin resistance. For example, cocoa flavonoids can modulate AMPK signaling pathway to relieve insulin resistance of high glucose-treated HepG2 cells [8]. In addition, quercetin can also regulate AMPK signaling to alleviate high fructose-induced insulin resistance in humans [9]. Besides AMPK signaling pathway, other signaling pathways seem to be related to insulin resistance, including endoplasmic reticulum (ER) stress [10], mitogen-activated protein kinase (MAPK) [11], and protein kinases B/mammalian target of rapamycin (Akt/mTOR) [12, 13]. Akt/mTOR is an important pathway of intracellular insulin transduction and energy metabolism in the liver and plays a very central role in glycolysis [14, 15], gluconeogenesis [14], and glycogen synthesis [16]. However, it remains unclear whether propolis flavonoids ameliorate insulin resistance via Akt/mTOR signaling pathway.

In this paper, based on their specific and abundance in propolis, we selected pinobanksin, galangin, chrysin, and pinocembrin to investigate their effects on insulin resistance and Akt/mTOR signaling. In addition, variations of glucose consumption, glycogen content, hexokinase, and pyruvate kinase activities were measured in insulin-resistant HepG2 cells by enzyme immunoassay kit. The phosphorylation and dephosphorylation of key Akt/mTOR signaling proteins were tested using the MILLIPLEX® Akt/mTOR 11-plex Panel.

2. Materials and Methods

2.1. Materials

Dulbecco’s modified eagle medium (DMEM), phosphate buffered saline (PBS), hexokinase (HK) assay kit, and pyruvate kinase (PK) assay kit were from Solarbio (Beijing, China). Dimethyl sulfoxide (DMSO), 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide (MTT), trypsin-EDTA solution 1× (0.25% trypsin, 0.02% EDTA), insulin solution (human), bicinchoninic acid (BAC) protein assay kit, pinobanksin, galangin, chrysin, and pinocembrin were obtained from Sigma-Aldrich (St. Louis, MO, USA). Fetal bovine serum (FBS) was obtained from Gibco (Grand Island, NY, USA). Glucose assay kit and glycogen assay kit were purchased from BioVision (Milpitas, CA, USA). MILLIPLEX® Akt/mTOR Phosphoprotein 11-plex Magnetic Bead Kit and MILLIPLEX® Akt/mTOR Total Protein 11-plex Magnetic Bead Kit were purchased from Merck Millipore (Darmstadt, Germany).

2.2. Cell Culture

Human liver cancer HepG2 cells were obtained from the Chinese Academy of Medical Sciences (Beijing, China). HepG2 cells were cultured in DMEM to be supplemented with 10% FBS, 100 μg/mL streptomycin, and 100 U/mL penicillin. Cells were maintained at 37°C in a fully humidified atmosphere with 5% CO₂-95% air.

2.3. Insulin Resistance Model in HepG2 Cells

Insulin resistance model was established as previous study described [17, 18], with minor modifications. HepG2 cells (2×10⁴ per well) were seeded in 96-well plates for 24 h. After cells adhere to the well, the medium was replaced with fresh medium with 5×10⁻⁶ mol/L insulin. Then cells were cultured for 36 h.

2.4. Sample Preparation

Pinobanksin, galangin, chrysin, and pinocembrin were dissolved in DMSO and diluted in DMEM containing 10% FBS, 100 μg/mL streptomycin, and 100 U/mL penicillin. The final quantity of DMSO did not exceed 0.1% of culture media for all experiments.

2.5. MTT Assay

MTT assay was carried out as described by Mosmann [19], with minor modifications. HepG2 cells (2×10⁴ per well) were seeded in 96-well plates for 24 h. After discarding the medium, fresh medium was added containing various concentrations of pinobanksin (0, 4, 8, 16, 32, 64, and 128 μmol/L), galangin (0, 4, 8, 16, 32, 64, and 128 μmol/L), chrysin (0, 1, 2, 4, 8, 16, and 32 μmol/L), or pinocembrin (0, 1, 2, 4, 8, 16, and 32 μmol/L) and each concentration was repeated six times. After 24 h, the medium was discarded and cells were washed with PBS twice. Cells were then incubated with 100 μL of 0.5 mg/mL MTT for 4 h in the dark. The supernatant was removed and 150 μL of DMSO was added to completely solubilize formazan. The absorbance of each well was measured at 490 nm with a microplate reader. Cell viability was expressed as a percentage of the OD value of each treatment group relative to the OD value of control group.

2.6. Detection of Glucose Consumption

Glucose consumption was tested using a glucose assay kit, according to the manufacturer's instructions. In accordance with 2.3, insulin resistance model of HepG2 was established in 96-well plates. The cells were washed by PBS for two times, then the mediums were added containing various concentrations of pinobanksin (0, 4, 8, 16, and 32 μmol/L), galangin (0, 10, 20, 40, and 80 μmol/L), chrysin (0, 0.5, 1, 2, and 4 μmol/L), or pinocembrin (0, 0.5, 1, 2, and 4 μmol/L). Each concentration was repeated six times and the control group did not do any treatment. After 24 h, the glucose content of supernatant was measured by glucose assay kit. The absorbance of each well was measured at 505 nm with a microplate reader. Cell viability was determined by the MTT method of 2.5 to correct the differences of glucose measurement results due to the difference in cell numbers.

2.7. Detection of Glycogen Content

Intracellular glycogen was measured using a glycogen assay kit, according to the manufacturer's instructions. In accordance with 2.3, the HepG2 model was established in 6-well plates. Various concentrations of galangin (0, 10, 20, 40, and 80 μmol/L) or pinocembrin (0, 0.5, 1, 2, and 4 μmol/L) were added to each well and each concentration was repeated in six wells. After 24 h, the supernatant of each well was aspirated and the cell lysate was added to lyse the cells. The protein content of each well was determined by bicinchoninic acid protein assay kit. The content was expressed as mg/g protein.

2.8. Detection of Intracellular Hexokinase and Pyruvate Kinase

In accordance with 2.7, cells were treated and cultured. After incubation for 24 h, cells were collected in a centrifuge tube and the supernatant was discarded after centrifugation. The activities of hexokinase and pyruvate kinase were tested using hexokinase (HK) assay kit and pyruvate kinase (PK) assay kit, according to the manufacturer’s instruction. The enzyme activity was calculated as follows:△A is absorbance change within five minutes.

2.9. Akt/mTOR Signaling Proteins Multiplex Analysis

In accordance with 2.7, cells were treated and cultured for 24 h. According to the MILLIPLEX® Akt/mTOR 11-plex Magnetic Bead Kit instructions, the lysed cells were collected as samples and the multiplex assay was performed in 96-well plates. The 96-well plates were washed with 100 μL assay buffer, then 25 μL of controls (or sample) and 25 μL of beads were added in 96-well plates. Plates were incubated overnight at 4°C in the dark. In the next day, plates were washed with 100 μL assay buffer twice. Then plates were incubated in biotinylated detection antibody cocktail at room temperature (RT) for 1 h. After removing the detection antibody cocktail, 25 μL streptavidin-phycoerythrin (SAPE) was added in plates at RT for 15 minutes. Cell signaling amplification buffer was added and plates were incubated at RT for another 15 minutes. Finally, the SAPE and amplification buffer were replaced with 150 μL assay buffer. All incubation steps were performed on a plate shaker at 100–300 rpm. Mean fluorescence intensity (MFI) data of assay plates were read and analyzed on a Luminex 200™ system. Data are normalized to phosphorylated protein/total protein.

2.10. Molecular Docking between Galangin/Pinocembrin and Human Insulin Receptor (IR)

Molecular docking was performed to investigate binding mode between galangin (or pinocembrin) and human insulin receptor (IR) using Autodock Vina 1.1.2 [20]. The three-dimensional (3D) structure of the human IR (PDB ID: 2HR7) was downloaded from RCSB Protein Data Bank (http://www.rcsb.org/pdb/home/home.do) [21]. The 2D structures of the galangin and pinocembrin were drawn by ChemBioDraw Ultra 14.0 and converted to 3D structures by the ChemBio3D Ultra 14.0 package [22]. The AutoDockTools 1.5.6 package [23, 24] was employed to generate the docking input files. The search grid of the IR was identified as center x: 16.322, center y: 35.12, and center z: 56.713 with dimensions size x: 15, size y: 15, and size z: 15. The value of exhaustiveness was set to 20. For Vina docking, the default parameters were used if it was not mentioned. The best-scoring pose as judged was chosen by the Vina docking score and visually analyzed using PyMoL 1.7.6 software (http://www.pymol.org/) [22].

2.11. Statistical Analysis

All the data were evaluated by GraphPad Prism 7. Values were indicated as the mean ± standard error mean (SEM). The statistical analysis included one-way ANOVA. A value of <0.05 was considered statistically significant.

3. Result

3.1. Galangin and Pinocembrin Increased the Glucose Uptake of Insulin-Resistant HepG2 Cells

In order to investigate whether four flavonoids have a positive influence on insulin resistance, we analyzed their effects on glucose uptake in insulin-resistant HepG2 cells. Glucose consumption is shown in Figure 1. As can be seen, insulin stimulation groups significantly decreased cellular glucose uptake in comparison with control groups (p < 0.05). Another notable result is that the glucose uptake had the wide variations in insulin stimulation groups after treatment using different concentrations of galangin and pinocembrin. The glucose uptake of the 80 μM galangin-treated cells was about five times than that of insulin stimulation groups. Pinocembrin treatment was able to promote glucose uptake of insulin stimulation groups. The glucose uptake of the 4 μM pinocembrin-treated cells was more 50% than that of insulin stimulation groups. However, there were no significant differences in the amount of glucose uptake of insulin stimulation groups after treated with pinobanksin and chrysin.

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Figure 1

Effect of four flavones on glucose consumption in insulin-resistant HepG2 cells. Note: (a) pinobanksin, (b) chrysin, (c) galangin, and (d) pinocembrin. HepG2 cells were plated in 96-well plates overnight, followed by treated in the absence or presence of 5x10⁻⁶mol/L insulin. After 36 h, cells were exposed to different concentrations of flavonoids for 24h. Then the amount of glucose consumption in the HepG2 cells was detected by the glucose detection kit. Values are means ± SEM from six separate determinations. Values with different letters (A–E) in the same column are significantly different from each other (p < 0.05).

3.2. Galangin and Pinocembrin Promoted the Glycogen Synthesis of Insulin-Resistant HepG2 Cells

Glycogen synthesis is one of the main ways in liver to regulate glucose metabolism. Glycogen contents of HepG2 cells were presented in Figure 2. According to the Figure 2, compared with control groups, the glycogen content of insulin stimulation groups was significantly decreased (p<0.05). In contrast to insulin stimulation groups, galangin and pinocembrin appreciably promoted glycogen synthesis. Both 80 μM galangin and 4 μM pinocembrin treatment made the glycogen content of insulin stimulation groups to increase by as many as 50% and 30%, respectively.

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Figure 2

Effect of galangin and pinocembrin on glycogen content in insulin-resistant HepG2 cells. Note: (a) galangin; (b) pinocembrin. HepG2 cells were plated in 96-well plates overnight, followed by treated in the absence or presence of 5x10-6mol/L insulin. After 36 h, cells were exposed to different concentrations of galangin and pinocembrin for 24h. Then the amount of glycogen content in the HepG2 cells was detected by the glycogen detection kit. Values are means ± SEM from six separate determinations. Values with different letters (A–B) in the same column are significantly different from each other (p < 0.05).

3.3. Galangin and Pinocembrin Enhanced of Hexokinase and Pyruvate Kinase Activities

In order to investigate the effects of galangin and pinocembrin on glucose metabolism, the activities of hexokinase and pyruvate kinase were determined. As revealed in Figure 3, compared with control groups, the activities of hexokinase and pyruvate kinase were significantly repressed by insulin stimulation (p<0.05). However, this effect was substantially ameliorated by galangin and pinocembrin treatment. When 80 μM galangin was present, the activities of hexokinase and pyruvate kinase were increased by 21.94% and 29.12%, respectively, compared with insulin stimulation groups.

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Figure 3

Effect of galangin and pinocembrin on hexokinase (HK) and pyruvate kinase (PK) activity in insulin-resistant HepG2 cells. Note: (a) galangin; (b) pinocembrin. HepG2 cells were plated in 96-well plates overnight, followed by treated in the absence or presence of 5x10-6mol/L insulin. After 36 h, cells were exposed to different concentrations of galangin and pinocembrin for 24h. Then the activity of intracellular hexokinase and pyruvate kinase was tested by hexokinase and pyruvate kinase assay kits. Values are means ± SEM from six separate determinations. Values with different letters (A-C, a–c) in the same column are significantly different from each other (p < 0.05).

3.4. Galangin Regulated Phosphorylation Levels of Key Akt/mTOR Signaling Proteins

To investigate whether galangin can get insulin resistance better, we examined the phosphorylation state of ten proteins on the Akt/mTOR signal pathway, including IR, IRS1, PTEN, Akt, GSK3α, GSK3β, TSC2, mTOR, p70S6K, and RPS6. Phosphorylation levels of ten protein are shown in Figure 4(a). According to the Figure 4(a), the phosphorylation levels of IR and Akt of insulin stimulation groups were remarkably lower than those of control groups (p<0.05). Compared with insulin stimulation groups, phosphorylation levels of IR, Akt, GSK3α, and GSK3β significantly increased (p<0.05) after galangin treatment. The phosphorylation level of Akt in the 80 μM galangin-treated cells was 68% higher than that of insulin stimulation groups. On the other hand, insulin stimulation noticeably elevated the phosphorylation levels of IRS, PTEN, mTOR, p70s6K, and RPS6 in comparison to control groups (p<0.05), while galangin treatment significantly reduced IRS, mTOR, and RPS6 levels (p<0.05). Compared with insulin stimulation groups, the phosphorylation level of mTOR reduced by 37.84% after galangin treatment.

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Figure 4

Effect of galangin and pinocembrin on the phosphorylation levels of key proteins of Akt/mTOR signaling pathway in insulin-resistant HepG2 cells. Note: the CG is control groups; the ISG is insulin stimulation groups; (a) the 10 to 80 is concentration of galangin; (b) the 0.5 to 4 is concentration of pinocembrin. The x-axis is the name of the key protein of Akt/mTOR signaling pathway. The y-axis is the phosphorylation level of the key protein of Akt/mTOR signaling pathway. Values are means ± SEM from six separate determinations. Values with different letters (A–C) in the same column are significantly different from each other (p < 0.05).

3.5. Pinocembrin Regulated Phosphorylation of Key Akt/mTOR Signaling Proteins

In order to further confirm pinocembrin’s influence on the alleviation of insulin resistance, the phosphorylation of key Akt/mTOR signaling proteins was assayed in insulin-resistant HepG2 cells after pinocembrin treatment. Wide variations of phosphorylation levels were revealed in Figure 4(b). As can be seen, insulin stimulation could promote the phosphorylation of IRS, PTEN, TSC2, mTOR, and p70S6K, whereas pinocembrin treatment remarkably decreased phosphorylation of IRS, PTEN, and p70S6K. Moreover, after pinocembrin treatment, the phosphorylation levels of TSC2, mTOR, and RPS6 did almost not improve. The phosphorylation levels of IR, Akt, and GSK3β noticeably decreased in insulin stimulation groups. The phosphorylation of Akt seem to tend to increase dose-dependently with pinocembrin treatment.

3.6. Interaction between Galangin/Pinocembrin and Human Insulin Receptors

Insulin receptor is embedded on the cell surface and specifically binds to insulin to activate the subsequent signaling pathway. We suspect that galangin and pinocembrin may firstly bind to the insulin receptor. Therefore, we used molecular docking to investigate their binding sites of the human IR. Theoretical binding modes are illustrated in Figure 5. Galangin and pinocembrin adopted a compact conformation in the binding pocket of the IR (Figures 5(c) and 5(d)). The phenyl groups of galangin and pinocembrin were surrounded by the residues Leu-62, Phe-64, Phe-88, Val-94, and Phe-96 at the hydrophobic pocket of the IR, forming a strong hydrophobic binding (Figures 5(e) and 5(f)). The phenyl groups of galangin and pinocembrin formed CH-π interactions with the side chains of the residues Phe-64, Phe-88, and Phe-96 (Figures 5(e) and 5(f)). Moreover, a cation-π interaction was observed between the side chain of the residue Arg-14 of IR and the 4H-chromen-4-one scaffold of the galangin, or the chroman-4-one scaffold of the pinocembrin, respectively. Importantly, the carbonyl “O” of the galangin formed two hydrogen bonds with the residues Arg-14 and Gln-34, with the lengths of 2.8 and 2.3 Å, respectively (Figure 5(e)). In comparison, the carbonyl “O” of the pinocembrin formed two hydrogen bonds with the residue Gln-34, with the lengths of 2.9 and 3.4 Å, respectively (Figure 5(f)).

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4. Discussion

Insulin is a protein hormone secreted by islet beta cells, when the cells were stimulated by endogenous or exogenous substances such as glucose, lactose, ribose, arginine, and glucagon. Insulin is the only hormone in the body to lower blood glucose, and to promote glycogen, fat, and protein synthesis. Insulin resistance represents a decreased sensitivity and reactivity of target tissues to insulin in maintaining the balance and stability of body’s glucose level. Therefore, insulin resistance can decrease glucose consumption and glycogen synthesis. In recent years, natural products have drawn more and more attention due to their positive effects in the treatment of insulin resistance, for example, cocoa [25], onion [26], Tetrastigma obtectum [27], and propolis [28]. Prior work has documented the effectiveness of propolis in reducing blood glucose levels and ameliorating insulin resistance in organism; Wataru Aoi, for example, reports that dietary propolis reduced blood glucose levels in Otsuka Long-Evans Tokushima Fatty rats and improved insulin sensitivity in the early stage of insulin resistance development [28]. However, these studies have not focused on the impact of individual propolis compounds on the signaling pathways related to insulin resistance. In this study, we tested the effect of galangin and pinocembrin in propolis on glucose uptake and Akt/mTOR signaling in HepG2 cells.

We find that, in virtually all cases, galangin and pinocembrin seem to have a significant role in promoting glucose metabolism. Our results reveal that galangin and pinocembrin can significantly increase glucose consumption (Figure 1) and glycogen synthesis (Figure 2) by enhancing the activities of hexokinase and pyruvate kinase (Figure 3). Moreover, the consumed glucose may have partially synthesized glycogen. Previous research has noted that hexokinase and pyruvate kinases play a crucial role in glucose metabolism [29, 30]. The current study is consistent with Hu et al., who discovered that the activities of hexokinase and pyruvate kinase were reduced in insulin resistance cells [31]. Our findings also confirmed that galangin dose-dependently normalized blood glucose in a fructose-induced rat model [32]. Most notably, we reveal a novel finding that pinocembrin with the lower concentrations can promote glucose metabolism and glycogen synthesis in insulin resistance cells.

We hypothesize that galangin and pinocembrin may have a synergistic effect on the alleviation of insulin resistance via Akt/mTOR signaling pathway. Galangin and/or pinocembrin impact the phosphorylation of IR, IRS, PTEN, Akt, GSK3α, GSK3β, mTOR, p70S6K, and RPS6 (Figure 6). Both of galangin and pinocembrin can upregulate the phosphorylation of IR, Akt and GSK3β and downregulate the phosphorylation of IRS (Figure 6). Insulin can bind to the alpha subunit of IR and alters the configuration of the beta subunit, activating tyrosine protein kinases. Galangin and pinocembrin upregulated the phosphorylation levels of IR, to enhance its sensitivity and reactivity (Figure 6). In other words, galangin and pinocembrin can increase tyrosine protein kinase activity. In addition, serine/threonine phosphorylation of IRS reduces its tyrosine phosphorylation, and decreased tyrosine phosphorylation results in severe impairment of insulin signal transduction [33]. Galangin and pinocembrin treatment downregulated the serine/threonine phosphorylation of IRS (Figure 4). Tyrosine protein kinases can phosphorylate the tyrosine residues of IRS and in turn activate IRS. Activated IRS can promote the transmission of downstream signals [34]. Akt is an inducible downstream effector of IRS and an adaptor protein in Akt/mTOR signaling pathway [35]. In this study, we find that galangin and pinocembrin treatment upregulated the phosphorylation of Akt (Figure 6). The serine/threonine of Akt can be phosphorylated by tyrosine phosphorylated IRS, and serine phosphorylation site is the primary mechanism of insulin stimulates Akt activation [36]. Activated Akt transfers to cytoplasm or nucleus to continue the phosphorylation of subsequent substrates, thereby regulating glucose metabolism. On the one hand, activated Akt can activate glycogen synthase by upregulating phosphorylation of GSK3, thereby increasing glycogen synthesis and glucose consumption [37]. We find that galangin and pinocembrin can also upregulate the phosphorylation level of GSK3β in insulin-resistant HepG2 cells (Figure 6). Galangin can upregulate the phosphorylation of GSK3α (Figure 4(a)). Our findings confirm that galangin promotes phosphorylation of GSK3 to lead to its inactivation to induce type 2 diabetes [37]. On the other hand, activated Akt can directly phosphorylate the ser2448 site of mTOR. We find that high insulin treatment triggered insulin resistant by the overexpression of IRS and mTOR, and galangin treatment downregulated IRS and mTOR phosphorylation (Figure 4(a)). This result is consistent with the conclusions that the activity of mTOR can be inhibited by downregulating the serine phosphorylation of IRS and upregulating its tyrosine phosphorylation [38]. Activated mTOR phosphorylates p70S6K, one of the most studied substrates of mTOR. Although phosphorylation of p70S6K is able to contribute to the conduction of insulin signaling, overexpression of p70S6K triggers insulin resistance [39]. Our results indicate that pinocembrin downregulated the phosphorylation of p70S6K (Figure 4(b)). Dephosphorylation of p70S6K may cause a decrease in IRS serine phosphorylation and an increase in its tyrosine phosphorylation, resulting in upregulating Akt phosphorylation to alleviate insulin resistance [39]. Some studies have shown that RPS6 was involved in maintaining glucose stability and insulin sensitivity [40]. Our results indicate that galangin treatment downregulated phosphorylation of RPS6 (Figure 4(a)) to inhibit overexpression of RPS6 phosphorylation. We speculate that overexpression of RPS6 phosphorylation may inhibit the synthesis of glycometabolism enzymes, thereby reducing the utilization of glucose. Overall, we hypothesize that galangin and pinocembrin may synergistically relieve insulin resistance through regulating the protein phosphorylation of key Akt/mTOR signal proteins.

Insulin receptor is a tetramer between two alpha subunits and two beta subunits, together linked by disulfide bonds. Two alpha subunits are located on the outer side of the plasma membrane with insulin binding sites; the two beta subunits are transmembrane proteins acting as signal transducers. The specific binding of insulin to insulin receptor can promote subsequent signal transduction [41]. In this study, we provide theoretical binding modes between galangin or pinocembrin and human insulin receptor. Our results demonstrate that galangin and pinocembrin can alter insulin receptor conformation by binding to the insulin receptor, thereby increasing insulin receptor sensitivity and insulin availability (Figure 5). Moreover, there is a difference in docking structure between galangin/pinocembrin and insulin receptors. This result is also further confirmed that galangin and pinocembrin can regulate different Akt/mTOR signaling proteins by binding to the insulin receptor, thus relieving insulin resistance.

5. Conclusions

Pinobanksin and chrysin are ineffective for promoting glucose metabolism. On the contrary, galangin and pinocembrin ameliorate insulin resistance by increasing the activity of hexokinase and pyruvate kinase, promoting glucose consumption and glycogen synthesis. We also report here for the first time that pinocembrin has the effect of alleviating insulin resistance. In addition, we hypothesize that galangin and pinocembrin may have a synergistic effect via Akt/mTOR signaling pathway, while galangin and pinocembrin upregulate the phosphorylation of IR, Akt, and GSK3β, downregulate the phosphorylation of IRS, and activate Akt/mTOR pathway. These results appear to provide a reliable evidence to develop novel propolis nutraceuticals directed at insulin resistance.

Abbreviations

DMEM:	Dulbecco’s modified eagle medium
PBS:	Phosphate buffered saline
HK:	Hexokinase
PK:	Pyruvate kinase
DMSO:	Dimethyl sulfoxide
MTT:	3-(4,5-Dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide
FBS:	Fetal bovine serum
IR:	Insulin receptor
IRS:	Insulin receptor substrate
Akt:	Protein kinase B
GSK3:	Glycogen synthetic kinase 3
mTOR:	Mechanistic target of rapamycin
p70S6K:	Ribosomal protein s6 kinase, 70kda
RPS6:	Ribosomal protein s6
3D:	Three-dimensional.

Data Availability

The data used to support the findings of this study are included within the article.

Conflicts of Interest

No potential conflicts of interest were reported by the authors.

Acknowledgments

This study was supported by the Modern Agro-Industry Technology Research System from the Ministry of Agriculture of China (CARS-45-KXJ19), the Agricultural Science and Technology Innovation Program from Ministry of Agriculture of China (CAAS-ASTIP-2015-IAR), and the Graduate Student Innovation Project of Harbin University of Commerce (YJSCX2017-460HSD).

References

K. Ogurtsova, J. D. da Rocha Fernandes, Y. Huang et al., “IDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040,” Diabetes Research and Clinical Practice, vol. 128, pp. 40–50, 2017.
View at: Publisher Site | Google Scholar
M. Jug, M. Z. Končić, and I. Kosalec, “Modulation of antioxidant, chelating and antimicrobial activity of poplar chemo-type propolis by extraction procures,” LWT- Food Science and Technology, vol. 57, no. 2, pp. 530–537, 2014.
View at: Publisher Site | Google Scholar
U. Usman, “Effect of bees propolis on fasting blood sugar and its antioxidant properties in diabetic rats,” FASEB J, p. 28, 2014.
View at: Google Scholar
K. Wang, J. L. Zhang, S. Ping, Q. X. Ma, and X. Chen, “Anti-inflammatory effects of ethanol extracts of Chinese propolis and buds from poplar (Populus×canadensis),” Journal of Ethnopharmacology, vol. 155, no. 1, pp. 300–311, 2014.
View at: Publisher Site | Google Scholar
Y. Wang, C. Fu, L. Zhang, Z. Li, F. Zhang, and H. Xuan, Anti-tumor Effect of Chinese Propolis and Brazilian propolis, Apiculture of China, 2014.
Y. Li, M. Chen, H. Xuan, and F. Hu, “Effects of encapsulated propolis on blood glycemic control, lipid metabolism, and insulin resistance in type 2 diabetes mellitus rats. Evidence-based complementary and alternative medicine,” in Effects of encapsulated propolis on blood glycemic control, vol. 2012, 2012.
View at: Google Scholar
K. Hiroshi, N. Yoshinori, K. Shunsuke, M. Tomomi, O. Shiki, T. Chitoku et al., “Beneficial effects of Brazilian propolis on type 2 diabetes inob/obmice,” Adipocyte, vol. 2, no. 4, p. 227, 2013.
View at: Google Scholar
I. Cordero-Herrera, M. Á. Martín, L. Goya, and S. Ramos, “Cocoa flavonoids attenuate high glucose-induced insulin signalling blockade and modulate glucose uptake and production in human HepG2 cells,” Food and Chemical Toxicology, vol. 64, pp. 10–19, 2014.
View at: Publisher Site | Google Scholar
Q.-Y. Zhang, Y. Pan, R. Wang et al., “Quercetin inhibits AMPK/TXNIP activation and reduces inflammatory lesions to improve insulin signaling defect in the hypothalamus of high fructose-fed rats,” The Journal of Nutritional Biochemistry, vol. 25, no. 4, pp. 420–428, 2014.
View at: Publisher Site | Google Scholar
T. W. Jung, K.-T. Lee, M. W. Lee, and K.-H. Ka, “SIRT1 attenuates palmitate-induced endoplasmic reticulum stress and insulin resistance in HepG2 cells via induction of oxygen-regulated protein 150,” Biochemical and Biophysical Research Communications, vol. 422, no. 2, pp. 229–232, 2012.
View at: Publisher Site | Google Scholar
J.-J. Song, Q. Wang, M. Du, B. Chen, and X.-Y. Mao, “Peptide IPPKKNQDKTE ameliorates insulin resistance in HepG2 cells via blocking ROS-mediated MAPK signaling,” Journal of Functional Foods, vol. 31, pp. 287–294, 2017.
View at: Publisher Site | Google Scholar
K. E. O'Reilly, F. Rojo, Q.-B. She et al., “mTOR inhibition induces upstream receptor tyrosine kinase signaling and activates Akt,” Cancer Research, vol. 66, no. 3, pp. 1500–1508, 2006.
View at: Publisher Site | Google Scholar
E. V. Haar, S. I. Lee, S. Bandhakavi, T. J. Griffin, and D.-H. Kim, “Insulin signalling to mTOR mediated by the Akt/PKB substrate PRAS40,” Nature Cell Biology, vol. 9, no. 3, pp. 316–323, 2007.
View at: Publisher Site | Google Scholar
O. A. J. Adegoke, H. E. Bates, M. A. Kiraly, M. Vranic, M. C. Riddell, and E. B. Marliss, “Exercise in ZDF rats does not attenuate weight gain, but prevents hyperglycemia concurrent with modulation of amino acid metabolism and AKT/mTOR activation in skeletal muscle,” European Journal of Nutrition, vol. 54, no. 5, pp. 751–759, 2015.
View at: Publisher Site | Google Scholar
X. Yang, Y. Cheng, P. Li et al., “A lentiviral sponge for miRNA-21 diminishes aerobic glycolysis in bladder cancer T24 cells via the PTEN/PI3K/AKT/mTOR axis,” Tumor Biology, vol. 36, no. 1, pp. 383–391, 2014.
View at: Publisher Site | Google Scholar
C. Porta, C. Paglino, and A. Mosca, “Targeting PI3K/Akt/mTOR signaling in cancer,” Frontiers in Oncology, vol. 4, article 64, 2014.
View at: Publisher Site | Google Scholar
X.-H. Liu, Z. Dong, J.-M. Fu, and F.-X. Zeng, “Effects of batephrine on insulin resistance in HepG2 cells and its mechanism,” Chinese Journal of New Drugs, vol. 17, no. 12, pp. 1026–1029, 2008.
View at: Google Scholar
Q. Chen, Y.-P. Xia, and Z.-Y. Qiu, “Effects of ecdysterone on insulin sensitivity and glucose metabolism in insulin-resistant cell model,” Chinese Pharmacological Bulletin, vol. 22, no. 4, pp. 460–464, 2006.
View at: Google Scholar
T. Mosmann, “Rapid colorimetric assay for cellular growth and survival: application to proliferation and cytotoxicity assays,” Journal of Immunological Methods, vol. 65, no. 1-2, pp. 55–63, 1983.
View at: Publisher Site | Google Scholar
O. Trott and A. J. Olson, “AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading,” Journal of Computational Chemistry, vol. 31, no. 2, pp. 455–461, 2010.
View at: Publisher Site | Google Scholar
K.-T. Chen, M.-J. Hour, S.-C. Tsai et al., “The novel synthesized 6-fluoro-(3-fluorophenyl)-4-(3-methoxyanilino) quinazoline (LJJ-10) compound exhibits anti-metastatic effects in human osteosarcoma U-2 OS cells through targeting insulin-like growth factor-I receptor,” International Journal of Oncology, vol. 39, no. 3, pp. 611–619, 2011.
View at: Publisher Site | Google Scholar
W. Jia, D. Zheng, L. Zhang et al., “Clinical and molecular characterization of 5α-reductase type 2 deficiency due to mutations (p.Q6X, p.R246Q) in SRD5A2 gene,” Endocrine Journal, vol. 65, no. 6, pp. 645–655, 2018.
View at: Publisher Site | Google Scholar
G. M. Morris, H. Ruth, W. Lindstrom et al., “Software news and updates AutoDock4 and AutoDockTools4: automated docking with selective receptor flexibility,” Journal of Computational Chemistry, vol. 30, no. 16, pp. 2785–2791, 2009.
View at: Publisher Site | Google Scholar
M. F. Sanner, “Python, a programming language for software integration and development,” J Mol Graph Model, vol. 17, no. 1, p. 57, 1999.
View at: Google Scholar
I. Cordero-Herrera, M. Á. Martín, F. Escrivá, C. álvarez, L. Goya, and S. Ramos, “Cocoa-rich diet ameliorates hepatic insulin resistance by modulating insulin signaling and glucose homeostasis in Zucker diabetic fatty rats,” The Journal of Nutritional Biochemistry, vol. 26, no. 7, pp. 704–712, 2015.
View at: Publisher Site | Google Scholar
J. Y. Jung, Y. Lim, M. S. Moon, J. Y. Kim, and O. Kwon, “Onion peel extracts ameliorate hyperglycemia and insulin resistance in high fat diet/streptozotocin-induced diabetic rats,” Nutrition & Metabolism, vol. 8, article 18, 2011.
View at: Publisher Site | Google Scholar
M.-N. Jin, G.-R. Shi, S.-A. Tang, Nan-Qin, W. Qiao, and H.-Q. Duan, “Flavonoids from Tetrastigma obtectum enhancing glucose consumption in insulin-resistance HepG2 cells via activating AMPK,” Fitoterapia, vol. 90, pp. 240–246, 2013.
View at: Publisher Site | Google Scholar
W. Aoi, S. Hosogi, N. Niisato et al., “Improvement of insulin resistance, blood pressure and interstitial pH in early developmental stage of insulin resistance in OLETF rats by intake of propolis extracts,” Biochemical and Biophysical Research Communications, vol. 432, no. 4, pp. 650–653, 2013.
View at: Publisher Site | Google Scholar
U. J. Jung, M.-K. Lee, Y. B. Park, M. A. Kang, and M.-S. Choi, “Effect of citrus flavonoids on lipid metabolism and glucose-regulating enzyme mRNA levels in type-2 diabetic mice,” The International Journal of Biochemistry & Cell Biology, vol. 38, no. 7, pp. 1134–1145, 2006.
View at: Publisher Site | Google Scholar
X. Zheng, Y. Ke, A. Feng et al., “The mechanism by which amentoflavone improves insulin resistance in HepG2 Cells,” Molecules, vol. 21, no. 5, 2016.
View at: Google Scholar
X. Hu, S. Wang, J. Xu, D.-B. Wang, Y. Chen, and G.-Z. Yang, “Triterpenoid saponins from Stauntonia chinensis ameliorate insulin resistance via the AMP-activated protein kinase and IR/IRS-1/PI3K/Akt pathways in insulin-resistant HepG2 cells,” International Journal of Molecular Sciences, vol. 15, no. 6, pp. 10446–10458, 2014.
View at: Publisher Site | Google Scholar
A. S. Sivakumar, P. Viswanathan, and C. V. Anuradha, “Dose-dependent effect of galangin on fructose-mediated insulin resistance and oxidative events in rat kidney,” Redox Report, vol. 15, no. 5, pp. 224–232, 2010.
View at: Publisher Site | Google Scholar
K. Paz, R. Hemi, D. LeRoith et al., “A Molecular Basis for Insulin Resistance,” The Journal of Biological Chemistry, vol. 272, no. 47, pp. 29911–29918, 1997.
View at: Publisher Site | Google Scholar
K. Egawa, H. Maegawa, S. Shimizu et al., “Protein-tyrosine Phosphatase-1B Negatively Regulates Insulin Signaling in L6 Myocytes and Fao Hepatoma Cells,” The Journal of Biological Chemistry, vol. 276, no. 13, pp. 10207–10211, 2001.
View at: Publisher Site | Google Scholar
A. Oku, M. Nawano, K. Ueta et al., “Inhibitory effect of hyperglycemia on insulin-induced Akt/protein kinase B activation in skeletal muscle,” American Journal of Physiology-Endocrinology and Metabolism, vol. 280, no. 5, pp. E816–E824, 2001.
View at: Publisher Site | Google Scholar
R. J. Perry, V. T. Samuel, K. F. Petersen, and G. I. Shulman, “The role of hepatic lipids in hepatic insulin resistance and type 2 diabetes,” Nature, vol. 510, no. 7503, pp. 84–91, 2014.
View at: Publisher Site | Google Scholar
J. Lee and M.-S. Kim, “The role of GSK3 in glucose homeostasis and the development of insulin resistance,” Diabetes Research and Clinical Practice, vol. 77, no. 3, pp. S49–S57, 2007.
View at: Publisher Site | Google Scholar
K. H. Khan, M. Wong, K. Rihawi et al., “Hyperglycemia and phosphatidylinositol 3-kinase/protein kinase B/Mammalian target of rapamycin (PI3K/AKT/mTOR) Inhibitors in phase I trials: Incidence, predictive factors, and management,” The Oncologist, vol. 21, no. 7, pp. 855–860, 2016.
View at: Publisher Site | Google Scholar
A. Tzatsos and K. V. Kandror, “Nutrients suppress phosphatidylinositol 3-kinase/Akt signaling via raptor-dependent mTOR-mediated insulin receptor substrate 1 phosphorylation,” Molecular and Cellular Biology, vol. 26, no. 1, pp. 63–76, 2006.
View at: Publisher Site | Google Scholar
B. Magnuson, B. Ekim, and D. C. Fingar, “Regulation and function of ribosomal protein S6 kinase (S6K) within mTOR signalling networks,” Biochemical Journal, vol. 441, no. 1, pp. 1–21, 2012.
View at: Publisher Site | Google Scholar
D. Fu, H. Cui, and Y. Zhang, “Lack of ClC-2 Alleviates High Fat Diet-Induced Insulin Resistance and Non-Alcoholic Fatty Liver Disease,” Cellular Physiology & Biochemistry International Journal of Experimental Cellular Physiology Biochemistry & Pharmacology, vol. 45, no. 6, p. 2187, 2018.
View at: Google Scholar

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Copyright © 2018 Yinkang Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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