Literature DB >> 29593532

(-)-Epigallocatechin-3-Gallate Ameliorates Atherosclerosis and Modulates Hepatic Lipid Metabolic Gene Expression in Apolipoprotein E Knockout Mice: Involvement of TTC39B.

Wei Wang1, Zheng-Zhu Zhang2, Yan Wu1, Ru-Qing Wang1, Jin-Wu Chen1, Jing Chen1, Yan Zhang1, Ya-Jun Chen1, Ming Geng1, Zhong-Dong Xu1, Min Dai3, Jin-Hua Li1, Li-Long Pan4.   

Abstract

Background: Aberrant chronic inflammation and excess accumulation of lipids play a pivotal role in the occurrence and progression of atherosclerosis. (-)-Epigallocatechin-3-gallate (EGCG), the major catechins in green tea, displayed anti-atherosclerotic properties in vivo and in vitro. However, the effects and underlying mechanism of EGCG on atherosclerosis remain unclear.
Methods: Male apolipoprotein E-knockout (ApoE-/-) mice (7 weeks old) fed with high-fat diet (HFD) were treated with normal saline or EGCG (40 mg/kg/d, i.g.) for 18 weeks. Atherosclerotic plaque and liver lipid accumulation were measured by Oil Red staining. Plasma lipids and cytokines were detected using commercial kits. The expression of protein and mRNA was analyzed by western blot and quantitative real-time reverse transcription-polymerase chain reaction, respectively.
Results: EGCG administration markedly attenuated atherosclerotic plaque formation in HFD-fed ApoE-/- mice, which were accompanied by increased plasma interleukin-10 (IL-10) level and decreased plasma IL-6 and tumor necrosis factor-α (TNF-α) levels. In addition, EGCG modulated high-fat-induced dyslipidemia, evidencing by decreased total cholesterol (TC) and low-density lipoprotein levels and increased high-density lipoprotein level. Meanwhile, EGCG treatment alleviated high-fat-mediated liver lipid accumulation and decreased liver TC and triglyceride. Mechanistically, EGCG significantly modulated high-fat-induced hepatic tetratricopeptide repeat domain protein 39B (TTC39B) expression and its related genes (Lxrβ, Abcg5, Abcg8, Abca1, Srebf1, Scd1, Scd2, Fas, Elovl5, Mylip) expression in liver from ApoE-/- mice. Notably, EGCG remarkably induced hepatic liver X receptor α (LXRα) and LXRβ expression and inhibited both precursor and mature sterol regulatory element binding transcription factor-1 (SREBP-1) expression.
Conclusion: Taken together, our data for the first time suggested that TTC39B was involved in EGCG-mediated anti-atherosclerotic effects through modulation of LXR/SREBP-1 pathway.

Entities:  

Keywords:  (-)-epigallocatechin-3-gallate; atherosclerosis; dyslipidemia; inflammation; tetratricopeptide repeat domain protein 39B

Year:  2018        PMID: 29593532      PMCID: PMC5854642          DOI: 10.3389/fphar.2018.00195

Source DB:  PubMed          Journal:  Front Pharmacol        ISSN: 1663-9812            Impact factor:   5.810


Introduction

Atherosclerosis is a highly prevalent disease that can significantly increase the risk of major vascular events, such as myocardial or cerebral infarctions (Koon et al., 2011). Atherosclerosis is a multifactorial disease consisting of a multitude of pathogenic developments, including foam cell formation and death, extracellular lipid accumulation, chronic inflammation, and smooth muscle cell proliferation [reviewed in Ross (1999) and Pan et al. (2017)]. There is growing evidence that both chronic inflammation and hyperlipidemia are key risk factors for the development of vascular diseases including atherosclerosis [reviewed in Back and Hansson (2015)]. Atherosclerotic plaque is usually made of fatty substances (cholesterol, triglycerides, lipoprotein, etc.), it is the main culprit that causes atherosclerosis, and it can partially or completely block the blood flow in the arteries [reviewed in Hansson (2009)]. A human genome-wide association study has revealed tetratricopeptide repeat domain protein 39B (TTC39B) gene associated with a change in blood lipoprotein levels (Teslovich et al., 2010). The nuclear receptor liver X receptors (LXRs) upregulated a series of genes, including Abcg5, Abcg8, Abca1, and so on, which promote coordinated mobilization of excess cholesterol from cells and from the body [Reviewed in Calkin and Tontonoz (2012)], making it a potentially therapeutic target for the treatment of metabolic and atherosclerotic diseases. Hsieh et al. (2016) elucidated the functional association between TTC39B and LXRs and provided evidence that TTC39B deficiency stabilized endogenous LXRs level and its target genes as well as decreased the incidence of atherosclerosis and fatty liver. Furthermore, TTC39B deficiency also inhibited hepatic sterol regulatory element-binding protein 1 (SREBP-1) (Hsieh et al., 2016), which controls lipogenic gene expression [reviewed in Wang Y. et al. (2015)]. Thus, inhibition of T39, and thus stabilization of endogenous LXRs, provided insights into treating metabolic diseases, including atherosclerosis and fatty liver [reviewed in Loaiza et al. (2017) and Tran and Wang (2017)]. Green tea (Camellia sinensis) is an extremely popular beverage worldwide, is next to water, and its habitual consumption has long been associated with health benefits [reviewed in Singh et al. (2011)]. Green tea and tea constituents have a potential protective effect against cardiovascular disease that may be due to lowering lipid levels (Ding et al., 2017). Among natural compounds of particular interest, (–)-epigallocatechin-3-gallate (EGCG) has gained significant attention in the past decade for its health benefits. EGCG, a major catechin component of green tea, has recently been confirmed to be beneficial effective cardiovascular diseases, including acute and chronic myocardial infarction (Devika and Stanely Mainzen Prince, 2008; Lin et al., 2016), ischemic stroke (Park et al., 2010), as well as atherosclerosis (Eng et al., 2018). In the clinical atherosclerotic study, EGCG significantly improved endothelial function and improved plasma lipid profile (Widmer et al., 2013). In experimental studies, drinking water supplemented with EGCG evidently inhibited high-fat-diet (HFD)-induced atherosclerosis in ApoE-knockout (ApoE-/-) mice (Miura et al., 2001; Yin et al., 2016). The salubrious effects of EGCG may be due to its various biological activities, such as anti-oxidative, anti-inflammatory, and hypolipidemic activities (Eng et al., 2018). However, the exact mechanism of EGCG on atherosclerosis remains unclear. Therefore, the aim of the present study was to evaluate whether EGCG treatment modulated (1) high-fat-induced atherosclerosis; (2) inflammatory response and lipid profile in experimental atherosclerotic mice; and (3) TTC39B is involved in EGCG-mediated anti-atherosclerotic activities in experimental atherosclerotic mice.

Materials and Methods

Chemicals and Reagents

(–)-Epigallocatechin-3-gallate (≥95%) was purchased from Sigma-Aldrich (Sigma Chemical Co., St. Louis, MO, United States). Total cholesterol (TC), triglycerides (TG), high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) assay kits were purchased from Jiancheng Bio-engineering Institute (Nanjing, China). Trizol reagent was obtained from Invitrogen Inc. (Carlsbad, CA, United States), PrimerScript RT Reagent Kit was purchased from Takara Bio (Shiga, Japan), and the quantitative real-time reverse transcription (RT)-polymerase chain reaction (qPCR) kit was purchased from Bio-Rad Laboratories (Hercules, CA, United States). Antibodies against TTC39B (ab107673), LXRα (ab176323), LXRβ (ab28479), and sterol regulatory element-binding transcription factor 1 (SREBP-1) (ab28481) were purchased from Abcam (Cambridge, United Kingdom). Anti-glyceraldehyde-3-phosphate dehydrogenase (GAPDH, sc-25778) antibody was purchased from Santa Cruz Biotechnology (Santa Cruz, CA, United States).

Experimental Procedures

Animal experimental protocols used for the study have been approved by the Animal Care and Ethical Use Committee of Hefei Normal University, in accordance to the guidelines for care and use of animals established by the Hefei Normal University. Thirty 7-week-old male ApoE-/- (18–24 g, C57BL/6J background) mice were obtained from Vital River Laboratory Animal Technology Co. Ltd. (Beijing, China). Mice were provided with a standard rodent chow diet and distilled water ad libitum and housed at 21 ± 3°C, 60 ± 10% relative humidity, and exposed to 12 h light–12 h dark cycles. After 1-week acclimation, ApoE-/- mice were divided randomly into two groups (n = 15 for each group) and were fed with HFD (D12079B, Research Diets, Inc., New Brunswick, NJ, United States[1]) with or without treatment for 18 weeks as follows: (1) ApoE-/-/control group was fed a HFD and (2) ApoE-/-/treatment group was fed an HFD and administered EGCG (40 mg/kg/d, i.g.). The dose of EGCG (40 mg/kg/d, i.g.) chose is based on our pre-trial and previous studies (Wolfram et al., 2006; Santamarina et al., 2015). EGCG was dissolved in distilled water and a total volume of 0.1 mL was administered daily. The control group was administered with 0.1 mL distilled water. At the end of the experiment, all mice were euthanized after being food-deprived for 12 h. Plasma was prepared by centrifugation within 15 min after collection at 1,550 × g for 20 min at 4°C (Allegra X-30R; Beckman Coulter, Inc., Brea, CA, United States). Liver tissues were quickly dissected and weighed (liver coefficient is determined by the ratio of wet liver weight:body weight). The sample of liver was divided into six parts and placed in a 1.5 mL Eppendorf tube. These plasma and liver samples were then stored at -80°C for further analysis. Aortas were collected from the base of ascending aorta and to the iliac bifurcation, whereas aortic roots with heart were harvested and both are fixed in 4% paraformaldehyde.

Plasma and Hepatic Lipid Parameters

Plasma TG, TC, HDL-C, LDL-C, ALT, and AST concentrations were assayed using common commercially available biochemical kits (JianCheng Bioengineering Institute, Nanjing, China). The lipids were extracted from liver tissues as previously described (Wang W. et al., 2015), and then TC and TG levels were determined using plasma TC and TG determination kits.

Atherosclerotic Lesion and Liver Tissue Analysis

For en face analysis of the atherosclerotic lesions, the entire aorta was isolated and stained with Oil Red O. Briefly, the entire aorta was dissected and opened longitudinally. After staining with Oil Red O (Sigma-Aldrich; Sigma Chemical Co., St. Louis, MO, United States), en face images of the aorta were taken with a dissecting microscope (Motic, China) and analyzed using the ImageJ software (version 1.42q, NIH). The lesion area of each mouse is described as the percentage of total luminal surface. Aortic sinuses and liver tissues were embedded in OCT embedding medium, and cryosections (8 μm) were stained with Oil Red O. Mean lesion area was calculated from 14 consecutive Oil Red O-stained sections per mouse. Images of sections were obtained by a light microscope (Olympus BX41, Tokyo, Japan) and the Oil Red O positive atherosclerotic lesion area was measured using the ImageJ software (version 1.42q, NIH).

Quantitative Real-Time Reverse Transcription-Polymerase Chain Reaction (qPCR)

The mRNA expression levels of Ttc39b, Lxrα, Lxrβ, Abcg5, Abcg8, Abca1, Srebf1, Scd1, Scd2, Fas, Pnpla3, Acss2, Elovl5, Gpam, and Mylip in liver tissues were detected by qPCR as previously described (Wang et al., 2013; Wang W. et al., 2015). The primer information is given in Table . Briefly, total RNA from liver tissues was extracted by Trizol and 1 μg of RNA was used to generate cDNA using a PrimerScript RT Reagent Kit (Takara Bio, Shiga, Japan). Reverse transcription (RT) reactions were performed according to the manufacturer’s instructions. The qPCR analysis was performed in triplicate for target mRNAs using a qPCR SYBR Green Mix Kit (Bio-Rad Laboratories, Hercules, CA, United States) and the PCR conditions were as follows: 1 cycle of 95°C, 5 min; 40 cycles of 95°C, 15 s; 60°C, 20 s. The fluorescent signals of SYBR Green were subjected to cDNA analysis using an ABI StepOne machine (Applied Biosystems, Forster, CA, United States). Melting curve analysis was performed to confirm specificity. The 2-ΔΔC method was used for the semi-quantitative PCR analysis. Target RNA levels were normalized to GAPDH mRNA. SYBR green primer information.

Flow Cytometry Analysis

Plasma from the mice were harvested for cytokine measurement using a cytometric bead array (CBA) mouse inflammation kit (BD Biosciences, Cat No. 552364) according to the manufacturer’s guidelines for detecting interleukin-6 (IL-6), IL-10, monocyte chemotactic protein-1 (MCP-1), interferon-γ (IFN-γ), tumor necrosis factor-α (TNF-α), and IL-12 production, simultaneously. The samples were analyzed using a flow cytometer (BD Accuri C6; BD Biosciences, San Jose, CA, United States) and FCAP Array software (BD version 3.1) was used to create the standard curves for each cytokine and convert the mean fluorescence intensity (MFI) values into corresponding concentrations.

Protein Extraction and Western Blot Analysis

Western blot analyses were performed as previously described (Wang et al., 2013; Wang W. et al., 2015). In brief, liver tissues were homogenized in ice-cold Tris buffer (0.01 M Tris, pH 7.4) and then lysed in extraction buffer with protease and phosphatase inhibitor cocktails (Beyotime Institute of Biotechnology, Haimen, China). Proteins of liver tissues were separated by electrophoresis in a 10% SDS-polyacrylamide gel, and then were transferred onto a PVDF membrane (Millipore, Shanghai, China). Blots were first incubated with an antibody against TTC39B (1:200), LXRα (1:1000), LXRβ (1:1000), SREBP-1 (1:1000), or GAPDH (1:200) overnight at 4°C. After primary antibody incubation, the membranes were washed three times in washing buffer for 10 min each and then incubated with the respective horseradish peroxidase-conjugated secondary antibodies (1:5000; Thermo Fisher Scientific, MA, United States) for 1 h at room temperature. Immunoreactive bands were visualized via the enhanced chemiluminescence (Pierce, Rockford, IL, United States) and quantified via densitometry using ImageJ (version 1.42q, NIH).

Statistical Analysis

In this study, all statistical analyses were conducted using SPSS 13.0 (SPSS, Chicago, IL, United States) and a two-tailed independent sample t-tests or a Mann–Whitney U-test as indicated for the comparison of the two groups. Experimental data are expressed as the means ± SEM, and P < 0.05 was considered statistically significant.

Results

EGCG Attenuated Atherosclerotic Plaque Development in ApoE-/- Mice

As shown in Figure , en face analysis revealed that atherosclerotic plaques (Oil Red O-stained red area) in the artery formed was observed in high-fat-fed ApoE-/- mice. Intriguingly, EGCG treatment with 40 mg/kg/d significantly reduced the size of Oil Red O-stained atherosclerotic plaques in the aortas (Figure ). Atherosclerotic burden was further evaluated in cross-sections of the aortic root. Treatment with EGCG (40 mg/kg/d) significantly decreased the lesion area in the aortic root (Figures ). During the entire experimental period, no mice died (data not shown). EGCG attenuated atherosclerotic plaque development in ApoE-/- mice. Illustration of ApoE-/- mice were fed with HFD and were treated daily with or without EGCG for 18 weeks by oral gavage. Morphology and quantification of atherosclerotic plaques in the whole aorta (A,B) and aortic sinus (magnification, ×40) (C,D). ∗∗P < 0.01, ∗∗∗P < 0.001 compared with high-fat-fed ApoE-/- mice (n = 8).

EGCG Altered Plasma Lipid Profile and Hepatic Lipid Metabolism in ApoE-- Mice

ApoE-/- mice develop hypercholesterolemia and complex atherosclerotic plaques that closely mimic human lesions. Initial body weights were similar between vehicle- and EGCG-treated ApoE mice (data not shown), whereas treatment with EGCG for 18 weeks observed lower body weights compared to that of ApoE mice (Figure ). There were no statistically significant differences in food intake between the two groups (Figure ). Meanwhile, plasma lipid profiles were determined in ApoE mice at the end of 18-week feeding period. As expected, EGCG treatment also dramatically increased HDL-C levels and decreased TC and LDL-C levels in HFD-fed ApoE-/- mice, but has little effect on TG (Figure ). The liver is the main organ for lipid metabolism. Because EGCG treatment improved the plasma lipid profile, we next determined whether EGCG administration affected the hepatic lipid metabolism. The results showed that compared with control ApoE mice, supplemented with EGCG significantly decreased liver weight (Figure ), liver coefficient (Figure ), TC, and TG content in the liver (Figure ). The similar profile was further confirmed by Oil Red O staining that EGCG significantly inhibited high-fat-fed-induced hepatic lipid accumulation (Figure ). Furthermore, EGCG administration also markedly attenuated HFD-induced liver injury in mice (ALT/AST) (Figure ). These results indicated that EGCG supplementation modulated the lipid disorders in HFD-fed ApoE mice. EGCG altered plasma lipid profile and hepatic lipid metabolism in ApoE-- mice. ApoE-/- mice were fed with HFD and were treated daily with or without EGCG for 18 weeks by oral gavage, body weights, plasma lipid profile, and transaminase levels, and hepatic lipid accumulation was analyzed as described in the section “Materials and Methods.” (A) Bar graph showed the quantitative analysis of body weights (n = 15). (B) Bar graph showed the quantitative analysis of food consumption (n = 15). (C) Bar graph showed the quantitative analysis of TC, TG, LDL-C, and HDL-C levels in plasma (n = 15). Bar graph showed the quantitative analysis of liver weight (D) and liver coefficient (E) (n = 15). (F) Quantification of hepatic TC and TG levels (n = 15). (G) Morphology of hepatic lipid accumulation (magnification, ×200, n = 6). (H) Quantification of plasma AST and ALT activities (n = 15). ∗P < 0.05, ∗∗P < 0.01, ∗∗∗P < 0.001 compared with high-fat-fed ApoE-- mice.

EGCG Modulated TTC39B Expression and Its Target Gene in ApoE-- Mice

To further explore the molecular mechanisms by which EGCG exerted anti-atherosclerotic activity, we examined the effects of EGCG on hepatic TTC39B expression, which modulated lipid metabolism and reduced the process of atherosclerosis (Hsieh et al., 2016). In this experiment, the mRNA and protein levels of hepatic TTC39B in atherosclerotic mice were analyzed by qRCR and western blot, respectively. Intriguingly, treatment with EGCG (40 mg/kg/d) significantly decreased the mRNA and protein levels of hepatic TTC39B in atherosclerotic mice (Figures ). In addition, EGCG administration also markedly increased the expression of hepatic LXRβ and inhibited hepatic SREBP-1 expression at both protein and mRNA levels, but only increased LXRα expression at protein level in high-fat-fed ApoE mice. Moreover, a decrease of mature SREBP-1 expression was also observed in EGCG-treated ApoE mice. We subsequently examined the effect of EGCG in LXR target gene expression in hepatic tissue by qPCR. As shown in Figure , EGCG treatment significantly induced Abcg5, Abcg8, and Abca1 mRNA levels and decreased the Scd1, Scd2, Fas, Elovl5, and Mylip mRNA levels. However, there was no changes in Pnpla3, Acss2, and Gpam mRNA levels following EGCG treatment (Figure ). EGCG modulated TTC39B expression and its target gene in ApoE-- mice. ApoE-/- mice were fed with HFD and were treated daily with or without EGCG for 18 weeks by oral gavage, the protein, or/and mRNA levels of TTC3B, and target genes in liver were detected as described in the section “Materials and Methods.” (A) Quantitative analysis of mRNA levels of hepatic Ttc39b, Lxrα, Lxrβ, Abcg5, Abcg8, Abca1, Srebf1, Scd1, Scd2, Fas, Pnpla3, Acss2, Elovl5, Gpam, and Mylip (n = 10). Mann–Whitney U-test, ∗P < 0.05, ∗∗P < 0.01 compared with high-fat-fed ApoE-- mice. (B) Representative bands of hepatic TTC39B, LXRα, LXRβ, precursor, and mature SREBP-1 protein expression (n = 3). (C) Quantitative analysis of hepatic TTC39B, LXRα, LXRβ, precursor, and mature SREBP-1 protein levels (n = 3). ∗P < 0.05, ∗∗P < 0.01 compared with high-fat-fed ApoE-- mice. See Supplementary Figure for original images.

EGCG Suppressed Systemic Inflammation in ApoE-- Mice

In addition to modulating lipid metabolism, activation of LXR has been demonstrated to inhibit the inflammatory response in ApoE mice (Bradley et al., 2007; Hong et al., 2012). Next, we explored the effects of EGCG treatment on chronic systemic inflammation by using a CBA. The results revealed that among the six examined cytokines (TNF-α, MCP-1, IFN-γ, IL-6, IL-12, and IL-10), EGCG markedly reduced the production of TNF-α and IL-6 and increased the level of IL-10, whereas the concentrations of the other three cytokines were not significantly influenced by EGCG (Figure ). EGCG suppressed systemic inflammation in ApoE-- mice. ApoE-/- mice were fed with HFD and were treated daily with or without EGCG for 18 weeks by oral gavage, plasma cytokines were detected as described in the section “Materials and Methods.” (A,B) Representative flow cytometry of plasma cytokines. (C) Quantification of levels of plasma cytokines. ∗P < 0.05, ∗∗P < 0.01 compared with high-fat-fed ApoE-/- mice (n = 15).

Discussion

Historically, consumption of green tea has been associated with health benefits against multiple cardiovascular diseases, including atherosclerosis (Babu et al., 2012; Kawada, 2016; Liu et al., 2016). In the present study, we uncovered a novel mechanism by which EGCG, a major ingredient of green tea, attenuated atherosclerotic plaque formation by modulated system inflammation and dyslipidemia possibly in a TTC39B-dependent manner. Dyslipidemia, associated with atherosclerosis, consists of a reduction of HDL-cholesterol and an increase in plasma LDL and TG [reviewed in Eckel et al. (2010)]. EGCG is a polyphenolic compound abundant in green tea and several studies reported the relationship between EGCG consumption and the level of blood lipoprotein [reviewed in Legeay et al. (2015)]. For instance, EGCG treatment reduced serum concentrations of TC and TG in db/db mice or high-fat diabetic mice (Babu et al., 2012; Pathak et al., 2018). Consistent with previous reports, we found that EGCG significantly modulated plasma lipid disorder and hepatic lipid accumulation, which accompanied by reduction of atherosclerotic plaque in high-fat-fed ApoE-/- mice. However, supplemented with EGCG (10 mg/kg) through daily intraperitoneal injections significantly reduced aortic plaque formation in hypercholesterolemic ApoE-/- mice, but no difference was observed in plasma TC level (Chyu et al., 2004). Similarly, drinking water supplemented with green tea extract attenuated the development of atherosclerosis without changing the plasma TC or TG level in ApoE-/- mice (Miura et al., 2001). Different drug delivery and higher dose used may explain the different hypolipidemic effects observed. Firstly, we chose to use EGCG (40 mg/kg) through daily gavage instead of intraperitoneal injections or administration in the drinking water. In addition, when it is orally administrated, EGCG is mainly absorbed in intestine, and gut microbiota plays a pivotal role in its metabolism prior to absorption and is essential for the absorption of its metabolites (such as gallic acid and epigallocatechin) [reviewed in Gan et al. (2016)]. EGCG supplementation prevented HFD-induced alterations in gut microbiota, such as Firmicutes/Bacteroidetes ratio and microbial diversity (Remely et al., 2017). Changes in gut microbiota composition due to different dietary feeding might be relevant for several chronic conditions, including atherosclerosis (Ryan et al., 2017). Finally, EGCG administration in drinking water was easily oxidized and unstable for 24 h (Miura et al., 2001). TTC39B is a novel potential therapeutic target for treating both steatohepatitis and atherosclerosis (Hsieh et al., 2016). TTC39B deficiency displayed increased HDL-cholesterol levels associated with increased enterocyte Abca1 expression, increased LXR protein, decreased fatty liver, decreased LDL levels, and reduced atherosclerosis (Hsieh et al., 2016). Thus, the study led us to hypothesize that EGCG attenuated high-fat-mediated atherosclerosis at least partially through modulation of TTC39B, an HDL gene discovered in human genome-wide association studies (Teslovich et al., 2010). In support of this, we found that EGCG administration significantly reduced hepatic TTC39B expression at both mRNA and protein levels in high-fat-fed ApoE-/- mice. LXRs are oxysterol-activated nuclear receptors and the primary function of LXRs is thought to be cholesterol homeostasis through upregulation of target genes, including Abcg5, Abcg8, Abca1, and so on, which mediate cellular cholesterol efflux [reviewed in Fessler (2018)]. Due to its ability to enhance ABCA1-dependent reverse cholesterol transport, LXR is an attractive target for the treatment of atherosclerosis (Kim et al., 2015). TTC39B can promote the ubiquitination and degradation of LXR. Conversely, TTC39B deficiency stabilizes LXR protein without change in LXR mRNA (Hsieh et al., 2016). Consistent with these findings, EGCG-treated ApoE-/- mice displayed decreased TTC39B levels at both mRNA and protein levels associated with increased hepatic LXRβ at both mRNA and protein levels and increased LXRα protein expression, accompanied by reduction of hepatic lipid accumulation and atherosclerotic plaque. However, the precise mechanism of EGCG on hepatic LXRs mRNA expression remains to be clarified. At the same time, SREBP-1 is the master regulator of de novo fatty acid biosynthesis and implicated in hepatic steatosis through upregulation of expression of many lipogenic genes, including Scd1 and Elovl5, leading to elevated plasma and liver TC levels (Kim et al., 2015). In the present study, EGCG-treated ApoE-/- mice also had significant reductions in hepatic precursor and mature of SREBP-1 expression and Srebf1 mRNA expression, and this effect was associated with a decrease of lipogenic gene Scd1, Scd2, Fas, Elovl5, and Mylip mRNA expression. In addition, LXRα-dependent increase in phosphatidylcholine synthesis and incorporation of polyunsaturated fatty acids into multiple phospholipid species which further inhibited hepatic SREBP-1 expression (Hsieh et al., 2016). Collectively, our data suggested that the downregulation of TTC39B by EGCG preserved LXRα and LXRβ expression associated with downregulation of SREBP-1 expression, eventually activated a beneficial profile of gene expression that promotes hypolipidemic effects. However, the precise mechanisms of TTC39B in EGCG-mediated vasculoprotection has not been fully elucidated. This mechanism could be particularly valuable to clarify the role of EGCG in modulation of dyslipidemia. Vascular chronic inflammation is one of the key early events in the pathogenesis of atherosclerosis (Liu et al., 2012; Back and Hansson, 2015). Dietary supplementation of EGCG counteracted several adverse effects associated with vascular inflammation and atherosclerosis, including decreased secretion of inflammatory cytokines such as IL-6 and TNF-α (Babu et al., 2012; Riegsecker et al., 2013). In addition, EGCG attenuated inflammation, lipid uptake, and intracellular cholesterol accumulation in macrophages (Chen et al., 2017; Wang et al., 2017). Therefore, antioxidant and anti-inflammatory activities of EGCG were responsible for its protective effects against atherosclerosis (Chyu et al., 2004; Devika and Stanely Mainzen Prince, 2008; Singh et al., 2011; Lin et al., 2016; Chen et al., 2017). Consistent with previous reports (Chyu et al., 2004), high-fat-fed ApoE-/- mice presented with both significantly smaller aortic atheromatous area and aortic sinus plaque when treatment with EGCG through intragastric administration. In addition, EGCG also significantly inhibited high-fat-mediated system inflammation, evidencing by the decrease of IL-6 and TNF-α and increase of IL-10. Increased IL-10 levels may create an anti-inflammatory environment and lead to protection against atherosclerosis development (McCarthy et al., 2013; Thompson et al., 2017). We chose to use EGCG (daily 40 mg/kg) intragastric administration, which ensure that the plasma level of EGCG was adequate (Miura et al., 2001; Chyu et al., 2004). With the amount of EGCG administered, there were significantly higher anti-inflammatory and anti-atherogenic capacities both in the systemic circulation and in local vascular tissue. Mechanistically, activation of LXRs upregulates a suite of genes that promote coordinated mobilization of excess cholesterol from cells and from the body [reviewed in Calkin and Tontonoz (2012)]. Moreover, LXRs, like other nuclear receptors, are anti-inflammatory, inhibiting signal-dependent induction of pro-inflammatory genes by nuclear factor-κB, activating protein-1, and other transcription factors [reviewed in Fessler (2018)]. Consistent with this notion, EGCG treatment significantly reduced TTC39B expression and enhanced LXRα expression, with that of Abca1 and Abcg5/8 also being increased. Activation of the LXRα-ABCA1/ABCG5/8 pathway exerted anti-inflammatory and lipid-regulatory effects during atherosclerosis [reviewed in Fessler (2018)]. Therefore, reduction of TTC39B and enhancement of the LXRα-ABCA1/ABCG5/8 pathway was at least partly responsible for the inhibitory effect of EGCG on the anti-inflammatory and lipid-regulatory effects in high-fat-induced atherosclerosis. The major new finding of the present study was that EGCG, a major ingredient of green tea, modulated high-fat-mediated hepatic TTC39B expression, which were responsible for lipid metabolism disorder in ApoE-/- mice. Meanwhile, our results also demonstrated that EGCG administration attenuated the formation of atherosclerotic plaque and system chronic inflammatory processes in atherosclerotic mice. Therefore, our data suggested that EGCG ingestion might have therapeutic potential in the prevention of atherosclerosis.

Author Contributions

WW and Z-ZZ designed the experiments. WW, YW, R-QW, JC, J-WC, YZ, Y-JC, MG, Z-DX, and L-LP performed the experiments. WW, Z-ZZ, and L-LP performed the data analysis. MD, J-HL, WW, and L-LP wrote the manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Table 1

SYBR green primer information.

Gene symbolGene nameGenBank Acc. No.Primer sequences (5′→3′)Tm (°C)E (%)Am (bp)
Ttc39bTetratricopeptide repeat domain 39BNM_027238F: TGAGCCTTTTCAGTGTTCCCT81.095171
R: CATCCTGGCCTTCCATACCTA
LxrαNuclear receptor subfamily 1, group H, member 3AF085745F: TGACTCCAACCCTATCCCTAA82.091141
R: GTTTCTCCTGATTCTGCAACG
LxrβNuclear receptor subfamily 1, group H, member 2NM_009473F: GGCGATAAGCAAGGCATACTC84.092182
R: AAACAGCCAGACGCTACAACC
Abcg5ATP-binding cassette subfamily G member 5AH011511F: CATCTGCCACTTATGATACAGG84.794236
R: CAGTGATTATGCGTCTCGTTC
Abcg8ATP-binding cassette subfamily G member 8AH011518F: AAGGCTGAGTATCACCAGTCTTGAA79.4104135
R: GGACCTGAACTCGCATCCACT
Abca1ATP-binding cassette subfamily A member 1NM_013454F: GGCAGCATCTTCTTGATTTTGTC83.494163
R: GAAACCCAATCCCAGATACCC
Srebf1Sterol regulatory element binding transcription factor 1NM_011480F: CACTTCGTAGGGTCAGGTTCT81.499101
R: GCTGAATAAATCTGCTGTCTTG
Scd1Stearoyl-Coenzyme A desaturase 1NM_009127F: CCGTGCCTTGTAAGTTCTGTG82.39392
R: GCCTCTTCGGGATTTTCTACT
Scd2Stearoyl-Coenzyme A desaturase 2NM_009128F: CGAACCTTTACTGTAGACCCTTG80.599117
R: TTGTCCCTGATGACCTCGTTT
FasFatty acid synthaseNM_007988F: CCGTGGTGCTGGAGATTG85.4102168
R: GGTTGACATTGATGCCTGTGA
Pnpla3Patatin-like phospholipase domain containing 3NM_054088F: CAGGGCAGCATGATGTAGGAC83.192188
R: GAAAATGGCAAACTTGTGGGA
Acss2Acyl-CoA synthetase short-chain family member 2NM_019811F: GAAAGTTGTAGCCACATAGAGCATA83.397231
R: AGCCAGTCCCCACCAGTTAAG
Elovl5ELOVL fatty acid elongase 5NM_134255F: AACATTCCCTTTCCACAGTCT78.094115
R: TCATCAGTTCAAAACCCCTAG
GpamGlycerol-3-phosphate acyltransferase, mitochondrialNM_008149F: TTCCTTTCCGTCCTGGTGATA82.894227
R: GAAGATGAAGACAGTGACTTTGGTG
Mylipmyosin regulatory light-chain interacting proteinNM_153789F: GTTTCGGTGATGGCTCGGTAG83.291220
R: AGAAACTCCTCATTGGGGTCG
GapdhGlyceraldehyde-3-phosphate dehydrogenaseNM_001289726F: AAGAAGGTGGTGAAGCAGG82.392111
R: GAAGGTGGAAGAGTGGGAGT
  44 in total

1.  Hepatic TRAP80 selectively regulates lipogenic activity of liver X receptor.

Authors:  Geun Hyang Kim; Gyun-Sik Oh; Jin Yoon; Gang Gu Lee; Ki-Up Lee; Seung-Whan Kim
Journal:  J Clin Invest       Date:  2014-12-01       Impact factor: 14.808

Review 2.  Atherosclerosis--an immune disease: The Anitschkov Lecture 2007.

Authors:  Göran K Hansson
Journal:  Atherosclerosis       Date:  2008-09-06       Impact factor: 5.162

3.  (-)Epigallocatechin-gallate (EGCG) prevents mitochondrial damage in isoproterenol-induced cardiac toxicity in albino Wistar rats: a transmission electron microscopic and in vitro study.

Authors:  P T Devika; P Stanely Mainzen Prince
Journal:  Pharmacol Res       Date:  2008-03-26       Impact factor: 7.658

4.  Green tea polyphenol (-)-epigallocatechin gallate reduces matrix metalloproteinase-9 activity following transient focal cerebral ischemia.

Authors:  Jong-Wook Park; Jung-Seok Hong; Kyoung-Suk Lee; Hahn-Young Kim; Jung-Jeung Lee; Seong-Ryong Lee
Journal:  J Nutr Biochem       Date:  2009-12-04       Impact factor: 6.048

5.  IL-10 mediates the immunoregulatory response in conjugated linoleic acid-induced regression of atherosclerosis.

Authors:  Cathal McCarthy; Michelle M Duffy; Declan Mooney; William G James; Matthew D Griffin; Desmond J Fitzgerald; Orina Belton
Journal:  FASEB J       Date:  2012-10-15       Impact factor: 5.191

Review 6.  Potential benefits of green tea polyphenol EGCG in the prevention and treatment of vascular inflammation in rheumatoid arthritis.

Authors:  Sharayah Riegsecker; Dustin Wiczynski; Mariana J Kaplan; Salahuddin Ahmed
Journal:  Life Sci       Date:  2013-07-19       Impact factor: 5.037

7.  Association of green tea consumption with mortality from all-cause, cardiovascular disease and cancer in a Chinese cohort of 165,000 adult men.

Authors:  Junxiu Liu; Shiwei Liu; Haiming Zhou; Timothy Hanson; Ling Yang; Zhengming Chen; Maigeng Zhou
Journal:  Eur J Epidemiol       Date:  2016-07-02       Impact factor: 8.082

8.  Pterostilbene and allopurinol reduce fructose-induced podocyte oxidative stress and inflammation via microRNA-377.

Authors:  Wei Wang; Xiao-Qin Ding; Ting-Ting Gu; Lin Song; Jian-Mei Li; Qiao-Chu Xue; Ling-Dong Kong
Journal:  Free Radic Biol Med       Date:  2015-03-05       Impact factor: 7.376

9.  Biological, clinical and population relevance of 95 loci for blood lipids.

Authors:  Tanya M Teslovich; Kiran Musunuru; Albert V Smith; Andrew C Edmondson; Ioannis M Stylianou; Masahiro Koseki; James P Pirruccello; Samuli Ripatti; Daniel I Chasman; Cristen J Willer; Christopher T Johansen; Sigrid W Fouchier; Aaron Isaacs; Gina M Peloso; Maja Barbalic; Sally L Ricketts; Joshua C Bis; Yurii S Aulchenko; Gudmar Thorleifsson; Mary F Feitosa; John Chambers; Marju Orho-Melander; Olle Melander; Toby Johnson; Xiaohui Li; Xiuqing Guo; Mingyao Li; Yoon Shin Cho; Min Jin Go; Young Jin Kim; Jong-Young Lee; Taesung Park; Kyunga Kim; Xueling Sim; Rick Twee-Hee Ong; Damien C Croteau-Chonka; Leslie A Lange; Joshua D Smith; Kijoung Song; Jing Hua Zhao; Xin Yuan; Jian'an Luan; Claudia Lamina; Andreas Ziegler; Weihua Zhang; Robert Y L Zee; Alan F Wright; Jacqueline C M Witteman; James F Wilson; Gonneke Willemsen; H-Erich Wichmann; John B Whitfield; Dawn M Waterworth; Nicholas J Wareham; Gérard Waeber; Peter Vollenweider; Benjamin F Voight; Veronique Vitart; Andre G Uitterlinden; Manuela Uda; Jaakko Tuomilehto; John R Thompson; Toshiko Tanaka; Ida Surakka; Heather M Stringham; Tim D Spector; Nicole Soranzo; Johannes H Smit; Juha Sinisalo; Kaisa Silander; Eric J G Sijbrands; Angelo Scuteri; James Scott; David Schlessinger; Serena Sanna; Veikko Salomaa; Juha Saharinen; Chiara Sabatti; Aimo Ruokonen; Igor Rudan; Lynda M Rose; Robert Roberts; Mark Rieder; Bruce M Psaty; Peter P Pramstaller; Irene Pichler; Markus Perola; Brenda W J H Penninx; Nancy L Pedersen; Cristian Pattaro; Alex N Parker; Guillaume Pare; Ben A Oostra; Christopher J O'Donnell; Markku S Nieminen; Deborah A Nickerson; Grant W Montgomery; Thomas Meitinger; Ruth McPherson; Mark I McCarthy; Wendy McArdle; David Masson; Nicholas G Martin; Fabio Marroni; Massimo Mangino; Patrik K E Magnusson; Gavin Lucas; Robert Luben; Ruth J F Loos; Marja-Liisa Lokki; Guillaume Lettre; Claudia Langenberg; Lenore J Launer; Edward G Lakatta; Reijo Laaksonen; Kirsten O Kyvik; Florian Kronenberg; Inke R König; Kay-Tee Khaw; Jaakko Kaprio; Lee M Kaplan; Asa Johansson; Marjo-Riitta Jarvelin; A Cecile J W Janssens; Erik Ingelsson; Wilmar Igl; G Kees Hovingh; Jouke-Jan Hottenga; Albert Hofman; Andrew A Hicks; Christian Hengstenberg; Iris M Heid; Caroline Hayward; Aki S Havulinna; Nicholas D Hastie; Tamara B Harris; Talin Haritunians; Alistair S Hall; Ulf Gyllensten; Candace Guiducci; Leif C Groop; Elena Gonzalez; Christian Gieger; Nelson B Freimer; Luigi Ferrucci; Jeanette Erdmann; Paul Elliott; Kenechi G Ejebe; Angela Döring; Anna F Dominiczak; Serkalem Demissie; Panagiotis Deloukas; Eco J C de Geus; Ulf de Faire; Gabriel Crawford; Francis S Collins; Yii-der I Chen; Mark J Caulfield; Harry Campbell; Noel P Burtt; Lori L Bonnycastle; Dorret I Boomsma; S Matthijs Boekholdt; Richard N Bergman; Inês Barroso; Stefania Bandinelli; Christie M Ballantyne; Themistocles L Assimes; Thomas Quertermous; David Altshuler; Mark Seielstad; Tien Y Wong; E-Shyong Tai; Alan B Feranil; Christopher W Kuzawa; Linda S Adair; Herman A Taylor; Ingrid B Borecki; Stacey B Gabriel; James G Wilson; Hilma Holm; Unnur Thorsteinsdottir; Vilmundur Gudnason; Ronald M Krauss; Karen L Mohlke; Jose M Ordovas; Patricia B Munroe; Jaspal S Kooner; Alan R Tall; Robert A Hegele; John J P Kastelein; Eric E Schadt; Jerome I Rotter; Eric Boerwinkle; David P Strachan; Vincent Mooser; Kari Stefansson; Muredach P Reilly; Nilesh J Samani; Heribert Schunkert; L Adrienne Cupples; Manjinder S Sandhu; Paul M Ridker; Daniel J Rader; Cornelia M van Duijn; Leena Peltonen; Gonçalo R Abecasis; Michael Boehnke; Sekar Kathiresan
Journal:  Nature       Date:  2010-08-05       Impact factor: 49.962

10.  (-)-Epigallocatechin Gallate Targets Notch to Attenuate the Inflammatory Response in the Immediate Early Stage in Human Macrophages.

Authors:  Tengfei Wang; Zemin Xiang; Ya Wang; Xi Li; Chongye Fang; Shuang Song; Chunlei Li; Haishuang Yu; Han Wang; Liang Yan; Shumei Hao; Xuanjun Wang; Jun Sheng
Journal:  Front Immunol       Date:  2017-04-10       Impact factor: 7.561

View more
  9 in total

1.  Targeting epigenetics and non-coding RNAs in atherosclerosis: from mechanisms to therapeutics.

Authors:  Suowen Xu; Danielle Kamato; Peter J Little; Shinichi Nakagawa; Jaroslav Pelisek; Zheng Gen Jin
Journal:  Pharmacol Ther       Date:  2018-11-13       Impact factor: 12.310

2.  Strategies to gain novel Alzheimer's disease diagnostics and therapeutics using modulators of ABCA transporters.

Authors:  Jens Pahnke; Pablo Bascuñana; Mirjam Brackhan; Katja Stefan; Vigneshwaran Namasivayam; Radosveta Koldamova; Jingyun Wu; Luisa Möhle; Sven Marcel Stefan
Journal:  Free Neuropathol       Date:  2021-12-13

3.  Screening of non-alcoholic steatohepatitis (NASH)-related datasets and identification of NASH-related genes.

Authors:  Ming-Jiang Liu; Hu Jin; Yu-Bing Chen; Jing-Jing Yu; Zhen-Ya Guo; Song-Qing He; Yong-Lian Zeng
Journal:  Int J Clin Exp Pathol       Date:  2021-05-15

Review 4.  Effect of green tea consumption on blood lipids: a systematic review and meta-analysis of randomized controlled trials.

Authors:  Renfan Xu; Ke Yang; Sui Li; Meiyan Dai; Guangzhi Chen
Journal:  Nutr J       Date:  2020-05-20       Impact factor: 3.271

Review 5.  Effects and Mechanisms of Tea and Its Bioactive Compounds for the Prevention and Treatment of Cardiovascular Diseases: An Updated Review.

Authors:  Shi-Yu Cao; Cai-Ning Zhao; Ren-You Gan; Xiao-Yu Xu; Xin-Lin Wei; Harold Corke; Atanas G Atanasov; Hua-Bin Li
Journal:  Antioxidants (Basel)       Date:  2019-06-06

Review 6.  The Impact of Dietary Supplementation of Whole Foods and Polyphenols on Atherosclerosis.

Authors:  Abigail E Cullen; Ann Marie Centner; Riley Deitado; Javier Fernandez andGloria Salazar
Journal:  Nutrients       Date:  2020-07-12       Impact factor: 5.717

Review 7.  Targeting the epigenome in in-stent restenosis: from mechanisms to therapy.

Authors:  Xi Yang; Yanyan Yang; Junjie Guo; Yuanyuan Meng; Min Li; Panyu Yang; Xin Liu; Lynn Htet Htet Aung; Tao Yu; Yonghong Li
Journal:  Mol Ther Nucleic Acids       Date:  2021-01-26       Impact factor: 8.886

8.  Green Tea and Coffee Consumption and All-Cause Mortality Among Persons With and Without Stroke or Myocardial Infarction.

Authors:  Masayuki Teramoto; Isao Muraki; Kazumasa Yamagishi; Akiko Tamakoshi; Hiroyasu Iso
Journal:  Stroke       Date:  2021-02-04       Impact factor: 7.914

Review 9.  Green tea and metabolic syndrome: A 10-year research update review.

Authors:  Elahe Esmaeelpanah; Bibi Marjan Razavi; Hossein Hosseinzadeh
Journal:  Iran J Basic Med Sci       Date:  2021-09       Impact factor: 2.699

  9 in total

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