Background
Type 2 diabetes mellitus (DM), known as one of the commonest chronic diseases, is a type of disease in which clinical manifestations are mainly heterogeneity of insulin resistance with relative insulin deficiency. Patients with DM and coronary heart disease (CAD) is more severe than ones with CAD alone and the risk of cardiovascular events is much higher [
1]. One of the reasons for this phenomenon is that hyperglycemia can cause dyslipidemia and accelerate atherosclerosis (AS) development [
2]. As we well known, elevated blood glucose is a risk factor for atherosclerotic cardiovascular disease (ASCVD), which can alter a variety of cellular functions in the body and exert worse impact on the pathological process of AS [
3,
4]. Besides, it has well been established that dyslipidemia is also an causal and independent risk factor of ASCVD. The interactions of abnormal glucose and lipid metabolism can exert a synergistic effect by activating a series of vascular cell pathways. For example, Hao et al. [
5] found that high glucose could affect the transcription and translation of SREBP-1 through the activation of PI3K/Akt pathway, and ultimately up-regulate fatty acid synthase and acetyl-CoA hydroxylase, and increase the synthesis of fatty acids in epithelial cells and lead to lipid droplet deposition. Additionally, another similar study [
6] reported that high glucose could increase lipid accumulation in mesangial cells by damaging cholesterol transporters. All of these studies strongly indicate that DM accompanied with dyslipidemia can result in more severe damage in vascular network.
Reverse cholesterol transport (RCT) refers to the process by which cholesterol from lipid-loaded peripheral cells passages through the plasma high-density lipoprotein (HDL) compartment to the liver and is excreted via the feces [
7]. It has been reported that three pathways may mediate the cholesterol efflux: simple diffusion, facilitated diffusion mediated by scavenger receptor B1 (SR-BI), and efflux mediated by the ATP binding cassette transporter A1 (ABCA1) or cassette transporter G1 (ABCG1) in the presence of extracellular acceptors, such as lipid-poor apoproteins or more mature HDL, respectively [
7‐
9]. A series of studies have confirmed that cholesterol efflux can occur in fibroblasts, adipocytes, macrophages and other peripheral tissue cells [
10‐
12]. Functionally, RCT plays a very important role in lipid metabolism and abnormal RCT pathway reduces cholesterol efflux, accelerates lipid deposition and promotes the formation of AS. Thereby, RCT is, currently, a hot topic for the basic and clinical atherosclerosis research. Currently, promoting macrophage RCT has become the research direction of HDL anti-atherosclerosis [
13].
Liraglutide, a Glucagon-like peptide-1 (GLP-1) analogue, is a novel therapeutic drug for the treatment of DM [
14‐
16]. Compared with traditional oral hypoglycemic agents, liraglutide has a pleiotropic effect on glucolipid metabolism, which is closely associated with anti-atherosclerosis [
17]. Previous studies have suggested that liraglutide exhibits the beneficial actions on islet β cells, body weight, and cardiovascular function [
18‐
21]. A large number of studies have shown that effective control of blood glucose levels in patients with DM can significantly reduce the risk of adverse cardiovascular events [
22,
23]. However, data regarding the role of liraglutide in RCT is currently limited. Therefore, this study aimed to investigate the effect of liraglutide on cholesterol efflux in db/db mice with high-fat diet (HFD) and HepG2 cells under high glucose conditions for the purpose of elucidating the potential mechanisms.
Methods
Materials
Male db/db mice (n = 48, 5 weeks old, BKS-Leprem2Cd479/Nju, Leprdb mut/mut) and male C57BL/6J mice (n = 12, 5 weeks old, Leprdb wt/wt) were purchased from Model Animal Research Center of Nanjing University. Liraglutide was purchased from Novo Nordisk, Bagsværd, Denmark. The human hepatoma cell line, HepG2, obtained from Cell Resource Center, IBMS, CAMS/PUMC (Beijing, China), U0126 (ERK1/2 inhibitor) was purchased from Cell Signaling Technology (Beverly, MA). Anti-ABCA1, Anti-ABCG1, Anti-SR-B1, and GAPDH antibodies were obtained from Abcam (Cambridge, UK). Antibodies against phospho-ERK1/2, total ERK1/2, were purchased from Cell Signaling Technology (Beverly, MA).
Animal treatment
All animals were maintained in an air-conditioned environment with a controlled temperature at 22 ± 2 °C and 50–60% relative humidity under 12-h shift of the light–dark cycle. After an adaptation period of 1 week, all mice were randomly divided into the five groups: wild type + normal diet (WT + ND, n = 12), db/db + ND (n = 12), db/db + High-fat diet (HFD, n = 12), db/db + HFD + liraglutide (LIRA, n = 12), and db/db + HFD + Atorvastatin (AT) (n = 12). Mice were administered either liraglutide (200 μg/kg) or equivoluminal 0.9% saline subcutaneously, twice daily for 8 weeks. Diabetic mice fed with HFD were orally administered with atorvastatin (20 mg/kg/d) for 8 weeks as a positive control group. During this period, body weight was determined weekly and the fasting blood glucose levels were measured every 4 weeks. After 8-week treatment, mice were euthanized using 1% sodium pentobarbital (50 mg/kg) after a 4-hour fast. The eyeballs were removed and blood samples were collected. The subsequent serum was used to determine blood lipid parameters. The livers were washed using iced saline for further analysis. All experiments were approved by the Ethics Committee for Animal Care and Research at Fuwai hospital (Beijing, China).
Lipids analysis
According to the manufacturer’s instructions, serum was prepared from each blood sample by centrifugation at 3500 rpm for 10 min. Serum total cholesterol (TC), blood glucose, triglyceride (TG), low density lipoprotein cholesterol (LDL-C) and high density lipoprotein cholesterol (HDL-C) were examined by the automatic biochemistry analyser (Hitachi 917, Tokyo, Japan).
Hematoxylin–eosin (HE) staining
Mouse liver specimens were processed according to a standard HE staining technique [
24]. Briefly, liver tissues were fixed by 10% neutral formalin, dehydrated in ethanol, and then embedded. Subsequently, liver sections (4 μm) were stained with HE for pathological changes under an optical microscope.
Oil red O staining
Mouse liver tissues were immediately snap-frozen in liquid nitrogen and placed in OCT cryostat embedding compound (Tissue-Tek, Torrance, CA, USA). Frozen liver sections (8 μm) were stained with oil red O according to previous report [
25], and the intracellular lipid droplets were observed and assessed by bright-field microscopy (Leica, Wetzlar, Germany).
Reverse cholesterol transport study in vivo
Raw264.7 (leukemia cells in mouse macrophage) cells were obtained from American Type Culture Collection (ATCC; Manassas, Va) and were grown in DMEM supplemented with 10% fetal bovine serum. RCT was assessed in vivo by intraperitoneal injection of RAW264.7 cells that were radiolabelled with
3H-cholesterol according to the manufacturer’s instructions as previously described [
26]. Briefly, Raw264.7 cells were radiolabeled with 5 Ci/mL
3H-cholesterol and cholesterol enriched with 100 g/mL of acetylated LDL for 48 h. These foam cells were washed twice, equilibrated in medium with 0.2% bovine serum albumin for 6 h, spun down, and resuspended in 0.5 mL medium. To assess the role of liraglutide in promoting efflux of cholesterol from macrophages to plasma and feces, cholesterol-loaded and
3H-cholesterol-labeled raw264.7 cells were injected intraperitoneally into mice and the appearance of
3H-cholesterol in plasma and feces over 24 h was quantified for liquid scintillation counting.
Cell viability assay
Cell Counting Kit-8 (Dojindo Molecular Technologies, Inc. Kumamoto, Japan) was used to assess cell viability. This assay was assessed by cultivating HepG2 cells in 96-well plates for 24 h. The cells were then exposed to various concentrations of glucose (0, 5, 25, 50 and 75 mmol/L) and liraglutide (0, 10, 100, 1000 and 2000 nmol/L) for 24 h. After replacing the DMEM medium, 10 μL of CCK-8 reagent was added to each well, and the 96-well plate was incubated in the dark at 37 °C for 2 h. The absorbance was measured at 450 nm in a microplate reader. All the experiments were repeated three times.
BODIPY-cholesterol efflux assay
BODIPY-cholesterol efflux assay was determined as previously described [
27]. Briefly, a stock solution of BODIPY cholesterol was prepared at 5 mM in DMSO. HepG2 cells were loaded with 2.5 mM of BODIPY-cholesterol in culture medium for 2 h at 37 °C. Cells were rinsed twice with physiological buffer (140 mM NaCl, 5 mM KCl, 1 mM CaCl2, 1 mM MgSO4, 5 mM glucose, 20 mM HEPES, pH 7.4), and incubated with the same buffer for 1 h at 37 °C with shaking at 50 rpm. The cell supernatant was centrifuged for 5 min at 6800
g, and the BODIPY fluorescence intensity in the supernatants was measured using a TECAN Genios Pro Microplate Reader (Tecan US, Inc., Morrisville, NC, USA) at excitation 490 ± 10 nm and emission 535 ± 20 nm.
Real time quantitative PCR (qRT-PCR) assay
SYBR green quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect mRNA levels of ABCA1, ABCG1, SR-B1. The Trizol reagent (Invitrogen, Waltham, USA) was used to extract total RNA from mouse liver tissue and HepG2 cells according to the manufacturer’s instructions and the quality of extracted RNA was measured by 260 to 280 nm absorbance. Then cDNA was obtained by reverse transcription (RT) using HifAir™ II 1st Strand cDNA Synthesis SuperMix for qPCR (YEASEN, Shanghai China). Amplification of the specific genes was performed using Hieff™ qPCR SYBR
® Green Master Mix (YEASEN, Shanghai China), and then the relative expression levels were analyzed with an ABI7500 real-time PCR system (Applied Biosystems). Glyceraldehyde 3-phosphate dehydrogenase (GAPDH), an endogenous housekeeping gene, was used for expression normalization. The specific RT primers and PCR primers are as follows: ABCA1 (forward 5′-ACCCACCCTATGAACAACATGA-3′ and reverse 5′-GAGTCGGGTAACGGAAACAGG-3′), ABCG1 (forward 5′-GGGGTCGCTCCATCATTTG-3′ and reverse 5′-TTCCCCGGTACACACATTGTC-3′), SR-B1 (forward 5′-CCTATCCCCTTCTATCTCTCCG-3′ and reverse 5′-GGATGTTGGGCATGACGATGT-3′), and glyceraldehyde 3-phosphate dehydrogenase (GAPDH, forward 5′-GGAGCGAGATCCCTCCAAAAT-3′ and reverse 5′-GGCTGTTGTCATACTTCTCATGG-3′). Each reaction was carried out in triplicate, and the qRT-PCR results were calculated using the previous method [
28].
Western blotting
Mouse liver tissue and HepG2 cells samples were homogenized on ice in lysis buffer [20 mM Tris–HCl, pH 7.5, 150 mM NaCl, 1 mM EDTA, 1 mM EGTA, 1% Triton X-100, 50 mM dithiothreitol, complete protease inhibitor cocktail (Roche Diag-nostics) and phosphatase inhibitor cocktail I and II (Sigma–Aldrich)]. The homogenate was then centrifuged at 12,000g for 15 min and the supernatant was collected. Protein concentrations were determined using a BCA Protein Assay Kit (Beijing Kangwei Century Biotechnology Co, Ltd, Beijing, China). Subsequently, 35 μg of protein from individual samples was resolved by precast NuPAGE Novex 4–12% (w/v) Bis–Tris gels (Life technologies, Carls-bad, CA, USA), and then transferred onto nitrocellu-lose membrane using the iBlotTM dry blotting system as described by the manufacturer (Invitrogen, Carlsbad, CA, USA). The membranes were blocked in TBST buffer (20 mM Tris, pH 7.5, 150 mM NaCl, 0.1% tween-20) containing 5% non-fat milk for 2 h at room temperature and then incubated overnight at 4 °C Anti-ABCA1, Anti-ABCG1 or Anti-SR-B1. Afterwards, the membranes were incubated with the secondary antibodies including goat anti-rabbit IgG/horseradish peroxidase (HRP) and goat anti-mouse IgG/HRP (Abcam) for 2 h at room temperature. Protein expression was detected with chemilumi-nescence (ECL, ermo Fisher Scienti c, Waltham, MA, USA) on FluorChem M image system.
Statistical analysis
SPSS 19.0 (SPSS Inc., Chicago, IL, USA) and GraphPad Prism 7.0 (GraphPad software, Inc., La Jolla, CA, USA) were utilized for statistical analysis and the construction of graphs. Data was presented as mean ± standard error of the mean (SEM) unless otherwise stated. Comparisons between two groups were assessed using an unpaired two-tailed Student’s t test and one-way ANOVA was used for comparison of more than 2 groups, with p < 0.05 considered to be statistically significant. Unless indicated in the figure legends, all results were confirmed by at least three separate experiments.
Discussion
In this study, we investigated the effect of liraglutide on RCT in db/db mice and HepG2 cells. Interestingly, our data indicated that liraglutide could modify the lipid profile and promote RCT in db/db mice fed with a high-fat diet. Moreover, results also showed that liraglutide significantly reduced lipid deposition in the liver in vivo. Moreover, the present study showed that liraglutide cloud up-regulate ABCA1 expression, a key RCT-related protein, in which was associated with the activation of MAPK/ERK1/2 signaling pathway.
In fact, DM is characterized by both glucose and lipid disorders. Evidence also support the notion that DM has higher rate of ASCVD and worse clinical outcomes due to the interaction of high glucose and dyslipidemia. In this study, the hyperglycemia and hyperlipidemia models were successfully established by addition of a high-fat diet in db/db mice, which showed a persistent elevation in the levels of blood glucose and body weight. Meanwhile, serum lipid levels including TC, LDL-C and TG in diabetic mice fed with HFD were significantly higher than those fed with ND in diabetic mice and WT mice. Interestingly, liraglutide also reduced the serum HDL-C level in db/db mice fed with HFD, which is similar to my previous data [
32]. More importantly, a marked inhibition of cholesterol efflux and the increased accumulation of lipid were also stably found, indicating that our model was suitable for further study regarding the impact of liraglutide on these pathophysiologic changes in the diabetic model.
As we know, liraglutide, a novel anti-diabetic medication, has recently become the first-line treatment for DM [
33‐
35]. Previous studies have suggested that liraglutide exerts hypoglycemic effects by increasing insulin secretion, improving islet cell function, decreasing food intake, and reducing body weight [
36]. In addition to down- regulation of the blood glucose, it also has the beneficial effects on the cardiovascular system [
37]. A recent study showed that liraglutide had a cardiovascular protective effect in the type 2 diabetic patients presenting as a significant reduction of the cardiovascular events during a long-term follow-up [
38]. Although the exact mechanism of this protective impact on cardiovascular system by liraglutide is currently not well determined, several animal and human observations have found that it may be associated with its reduction of body weight, recovery of liver lipid deposition, and reversal of hepatic steatosis [
39‐
41]. Our previous study has demonstrated that liraglutide improves lipid metabolism by inhibiting the expression of PCSK9 in db/db mice through HNF1α-dependent mechanism and HepG2 cells [
32]. Furthermore, the present study showed that liraglutide reduced the levels of TC, TG, and LDL-C in diabetic mice fed with HFD mediated by enhancing RCT.
It has been reported that RCT is a key process involving in the lipid metabolism and cardiovascular system protection. Hence, we hypothesized that the cardiovascular protective effects by liraglutide may be linked with RCT. That is the reason why we perform such study. Previous study has shown that GLP-1 may affect cholesterol homeostasis by regulating the expression of miR-758 and ABCA1 in HepG2 cells [
42]. In addition, GLP-1 treatment significantly increased the expression of ABCA1, ABCG1 and LXR-α, and improved cholesterol efflux from 3T3-L1 adipocytes [
43]. In our study, we found that liraglutide significantly enhanced RCT in db/db mice with high-fat diet assessed by the movement of
3H-cholesterol from macrophages to bloods and feces. In addition, several studies have indicated that liraglutide can induce body weight loss through reducing food intake, promoting satiety, and inducing autophagy [
44‐
47]. In agreement with these prior studies, our data showed that liraglutide lowered blood glucose levels and body weight in db/db mice with high-fat diet.
At the same time, we also observed that liraglutide could modify TC and TG in diabetic mice, and improve hepatic lipid accumulation. Data indicated that the hepatoprotective effects of liraglutide appeared from its direct impact rather than its glucose lowering ability. Several recent studies have also showed that liraglutide can alleviate non-diabetes steatohepatitis. Ipsen et al. found that liraglutide significantly decreased hepatic inflammation, liver injury and hepatocyte ballooning in advanced lean non-alcoholic steatohepatitis in guinea pigs induced by high-fat diet [
48]. The study by Zhang et al. demonstrated that liraglutide had a protective effect on carbon tetrachloride (CCl
4)-induced acute liver injury in mice, which significantly ameliorated the liver histopathological changes, reduced hepatocyte apoptosis, and enhanced mitochondrial respiratory functions [
49]. Similarly, Milani et al. found that the hepatoprotective and therapeutic effects of liraglutide on acute liver injury in mice induced by CCl
4 might be attributable to a decrease in liver oxidative stress and the preservation of metabolism [
50]. Therefore, it might be concluded that the potential hepatoprotective effect of liraglutide was beyond its glucose-lowering action.
Previous study has reported that high glucose can inhibit the expression of ABCA1 in macrophages via the ERK1/2 pathway, thereby reducing intracellular cholesterol efflux [
51]. Gorgani-Firuzjaee et al. showed that high glucose can induce de novo synthesis of cholesterol and VLDL production in HepG2 cells [
52]. Pang et al. have found that long-term exposure of HepG2 cells to high glucose can induce reactive oxygen species (ROS) accumulation and DNA damage [
53]. Do et al. have reported that high glucose can induce lipid accumulation in HepG2 cells [
54]. Similarly, our study demonstrated that high glucose (50 mmol/L) could significantly reduce ABCA1 expression and inhibit HepG2 cells cholesterol efflux. It should be mentioned that signal transduction pathway regarding the role of liraglutide in regulating RCT is currently unclear although we found a beneficial impact of liraglutide on RCT in animal. As described in the section of introduction, there are at least three key mediators (ABCA1, ABCG1 and SR-B1) involving in RCT process. In order to explore which mediator is mainly associated with the RCT by liraglutide, we established a high glucose-stimulated HepG2 cell model. By using this model, we confirmed the exact role of liraglutide in enhancing cell cholesterol efflux. We subsequently examined the effects of liraglutide on the expression of the mediators ABCA1, ABCG1 and SR-B1 and related signaling pathways. Data suggested that liraglutide up-regulated ABCA1 expression mediated by ERK1/2 phosphorylation, resulting in cholesterol efflux increase in HepG2 cells under the high glucose conditions. Our findings may be an important complementary information concerning the relation of liraglutide to lipid metabolism.
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