Next Article in Journal
Structure of Pigment Metabolic Pathways and Their Contributions to White Tepal Color Formation of Chinese Narcissus tazetta var. chinensis cv Jinzhanyintai
Previous Article in Journal
Novel Insights into the Adipokinome of Obese and Obese/Diabetic Mouse Models
Previous Article in Special Issue
Licochalcone A Inhibits the Proliferation of Human Lung Cancer Cell Lines A549 and H460 by Inducing G2/M Cell Cycle Arrest and ER Stress
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJMS
Volume 18
Issue 9
10.3390/ijms18091930
ijms-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

MDG-1, a Potential Regulator of PPARα and PPARγ, Ameliorates Dyslipidemia in Mice

by
Xu Wang
1,
Linlin Shi
1,
Sun Joyce
2,
Yuan Wang
1,* and
Yi Feng
1,*
1
Engineering Research Center of Modern Preparation Technology of TCM, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
2
Department of Biological Sciences, National University of Singapore, Singapore 117543, Singapore
*
Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2017, 18(9), 1930; https://doi.org/10.3390/ijms18091930
Submission received: 5 June 2017 / Revised: 15 July 2017 / Accepted: 20 July 2017 / Published: 8 September 2017
(This article belongs to the Special Issue Advances in Molecular Research of Functional and Nutraceutical Food 2017)
Browse Figures
Versions Notes

Abstract

:
Hyperlipidemia is a serious epidemic disease caused by lipid metabolism disorder, which is harmful to human health. MDG-1, a β-d-fructan polysaccharide extracted from Ophiopogon japonicus, has been shown to improve abnormal blood lipid levels and alleviate diabetes. However, the underlying mechanism on hyperlipidemia is largely unknown. In this study, male C57BL/6 mice were randomly separated into three groups, respectively: low-fat diet (Con), high-fat diet (HFD), and high-fat diet plus 5‰ MDG-1 (HFD + MDG-1). Body weight was measured and the serum lipid levels were analyzed. Using gene microarray, various core pathways, together with levels of gene expression within hepatocytes, were analyzed. RT-PCR was used to confirm the identity of the differentially expressed genes. MDG-1 could prevent obesity in HFD-induced mice and improve abnormal serum lipids. Besides, MDG-1 could regulate hyperlipidemia symptoms, specifically, and decrease fasting blood glucose, improve glucose tolerance, and ameliorate insulin resistance. According to results from gene microarray, most of the identified pathways were involved in the digestion and absorption of fat, biosynthesis, and catabolism of fatty acids as well as the secretion and biological synthesis of bile acids. Furthermore, MDG-1 may act upon peroxisome proliferator-activated receptors (PPAR) α and γ, activating PPARα whilst inhibiting PPARγ, thus having a potent hypolipidemic effect.

1. Introduction

Hyperlipidemia is a group of disorders characterized by an excess of lipids in the bloodstream. Apart from genetic factors like familial hypercholesterolemia [1,2], hyperlipidemia is closely associated with less healthy living habits and dietary preferences. Mounting evidence shows that hyperlipidemia increases the risk of chronic metabolic disorders, such as obesity, cardiovascular disease, and particularly type II diabetes, resulting in high mortality rates [3,4,5,6]. Moreover, hyperlipidemia is a widely-accepted risk factor for elevated blood glucose levels and insulin resistance [7,8,9], implying more attention should be given to the regulation of lipid metabolism in diabetic patients. As an epidemic public problem, research on lipid-control therapies must be accelerated.
Lipid metabolism has emerged as an important modulator of hyperlipidemia and abnormal fat. The lipid-activated transcription factors PPAR are members of the nuclear receptor superfamily that have a well-defined role in regulating lipid homeostasis and metabolic diseases [10]. Peroxisome proliferator-activated receptors (PPARs) comprised of three different isoforms, namely, PPARα, PPARβ, and PPARγ, play a vital role in the biological processes of the metabolic syndrome, including fat generation, lipid balance regulation, energy metabolism, insulin sensitivity, cell differentiation, and immune response [11,12,13,14]. Accumulating studies demonstrate that these nuclear receptors (PPARα, PPARβ, and PPARγ), all have well-documented roles in lipid and glucose metabolism. Current reports suggest that okra polysaccharides (OP) have therapeutic effects on metabolic diseases via the inhibition of LXR and PPAR signaling [15], and Astragalus polysaccharides could regulate gene expression of PPARα and its target genes to improve lipid metabolism [16]. Besides, polysaccharides from Rosae Laevigatae Fructus could improve hyperlipidemia possibly through regulating PPAR-mediad lipid metabolism [17]. These suggest that polysaccharides modulate hyperlipidemia through the regulation of PPAR signaling.
Based on our previous studies, MDG-1 [18], a β-d-fructan polysaccharide with an average molecular weight of 3400 Da, extracted from the root of Ophiopogon japonicus (Radix Ophiopogonis japonici), a traditional Chinese medicine, has a beneficial effect on blood glucose levels and body weight in diet-induced obese mice (DIO) [19,20] or the model of type 2 diabetes ob/ob mice [21]. MDG-1 could also improve serum lipid levels and regulate the synthesis, secretion, and reabsorption of bile acids [19]. Thus, in our research, we aimed to test that MDG-1 may improve high-fat diet (HFD)-induced obesity, dyslipidemia, and glucose resistance. Besides, in consideration of the gene chip with high throughput that could determine the different functional status and core gene expressions at the same time, we used the Affymetrix Mouse Gene 2.1 ST Array Strip (Thermo Fisher Scientific, Waltham, MA, USA) gene chip to screen significantly different genes and discovered gene expression profiles between the HFD group and the MDG-1 prevention group, thus exploring more deeply the mechanism of MDG-1 on hyperlipidemia.

2. Results

2.1. MDG-1 Blocks Obesity in DIO Mice

Compared to the control (Con), the body weight of the HFD group increased dramatically (Figure 1a). As illustrated in Figure 1a, in comparison with the HFD group, MDG-1 supplemented with a high-fat diet (HFD + MDG-1) obviously lessened body weight after three weeks prevention (this trend was observed throughout the whole experiment). The food intake of the MDG-1 group was consistent with that of the HFD group (Figure 1b), implying that the reduction in weight was due to the effects of MDG-1 and not decreased energy intake. Interestingly, MDG-1-treated mice showed a significantly higher body temperature compared to the DIO mice (Figure 1c), indicating that MDG-1 may enhance energy expenditure.
To further confirm that the intervention of MDG-1 could prevent fat accumulation of obese mice (the weight and size of subcutaneous fat was measured and analyzed). As expected, the mice of the MDG-1 group apparently decreased subcutaneous fat weight compared to that of the HFD group (Figure 1d). In addition, the Hematoxylin and Eosin (H&E) staining (Figure 2a) and Electronic Scanning Microscopy Assays (Figure 2b) showed that the size of the adipocytes of the MDG-1-treated mice was reduced. These results implied that MDG-1 could protect against high fat, diet-induced fat accumulation. Besides, liver histology was detected by H&E staining (Figure 2c). In the H&E sections, the mice fed the HF diet developed obvious steatosis and vacuolization compared to the Con group, whereas MDG-1 treatment notably ameliorated macrovesicular steatosis of the liver compared to the HFD group. Taken together, these results indicated that MDG-1 could increase energy expenditure and reduce fat accumulation and hepatic steatosis, thus regulating body weight in the high-fat diet mice.

2.2. MDG-1 Attenuates Dyslipidaemia in DIO Mice

To further verify that MDG-1 could moderate many of the symptoms present in metabolic syndromes, serum lipid levels were assayed. Figure 3a showed that MDG-1 displayed markedly lower levels of total cholesterol (TC), total triglyceride (TG), and low density lipoprotein cholesterol (LDL-c) than those of the HFD group, whereas the high density lipoprotein cholesterol (HDL-c) level remained unchanged. Meanwhile, we determined TC and TG contents in the stool and liver. The fecal TC and TG levels of the MDG-1 group were increased to a certain extent compared to the HFD group. Moreover, TG and TC levels in the liver of the MDG-1 group were markedly ameliorated as compared to those in the HFD group, implying that MDG-1 could notably lower lipid accumulation in the liver tissue (Figure 3b,c). These results showed that MDG-1 prevention had a positive effect on the regulation of lipid metabolism.

2.3. MDG-1 Improves Glucose Tolerance and Insulin Resistance in Obese Mice

Hyperlipidemia is closely related to diabetes. Considering that MDG-1 could adjust the disturbances of lipid metabolism, we investigated whether MDG-1 could improve hyperglycemia in HF mice. We determined fasting glucose at the end of the experiment. The blood glucose level of the HFD group was considerably higher than that of Con group, whereas the blood glucose of the HFD + MGD-1 group was depressed compared to HFD group. Meanwhile, the glucose tolerance test showed that MDG-1 markedly lowered the blood glucose levels at 15 min and 30 min in HF-induced mice (Figure 4b), which suggested that MDG-1 notably improved glucose tolerance.
To investigate whether long-term MDG-1 intervention could improve insulin resistance in obese mice, an insulin tolerance test was conducted. With 0.75 U/kg insulin, we measured blood glucose levels at 0, 15, 30, 60, 90, and 120 min intervals (Figure 4c). Experimental results showed that compared with the HFD group, the blood glucose level of mice was significantly lowered with the MDG-1 supplement at 0 min and 30 min, and the blood glucose area under the curve of the MDG-1 group decreased by 39.6% at 120 min (Figure 4d). The results showed that MDG-1 could increase the sensitivity of insulin and ameliorate insulin resistance caused by hyperlipidemia.

2.4. MDG-1 Effects the Expression of Lipid Genes in HFD-Fed Mice by Gene Chip Technology

To explore the underlying mechanism behind MDG-1’s intervention in lipid metabolism disorder, we analyzed the gene microarray of the livers within the HFD group and the MDG-1 group using the Affymetrix Mouse Gene 2.1 ST Array Strip (Thermo Fisher Scientific, Waltham, MA, USA). This ultimately helped to explicate the mechanism of MDG-1 at the genetic and molecular level. We found that after 12 weeks of prevention trials, the MDG-1 intervention group was clustered together, and was relatively distant from the HFD group but close to the normal group based on the results of 3D-PCA, suggesting a trend towards recovery when using MDG-1 against HFD-induced obesity in experimental mice (Figure 5a).
Based on the analysis of 3D-PCA, we obtained the different genes clustering diagram (Figure 5b) to depict the variation of genes between liver samples taken from the MDG-1 group and the HFD group. Figure 5b revealed that the 27 genes found in the samples were expressed differentially in the MDG-1 group compared to the HFD group. Among them, 15 genes were significantly up-regulated and 11 genes were significantly down-regulated through the intervention of MDG-1. Interestingly, MDG-1 played a major role in regulating the expression of a myriad of genes affiliating the PPARs family. Specifically, MDG-1 increased the expression of LXRα, LXRβ, CYP7B1, ApoE, and SREBP-1c and inhibited the expression of PPAR, FAS, ACC, CD36, and AP2.
Furthermore, pathway analysis was performed on the basis of differential expression genes to obtain targeting signal pathways which the genes participated in. Figure 5c exhibited that differentiated signaling pathways mainly contained short-chain fatty acids (SCFAs) metabolism, steroid hormone biosynthesis, and the peroxisome proliferator activated receptor (PPAR) signaling pathway. Next, according to the selected pathways, the pathway-act-network was built via gene microarray to discover core pathways and the regulation of various signaling (Figure 5d). Most of the core pathways were involved in the digestion and absorption of fat, biosynthesis, the catabolism of fatty acid, the secretion and biological synthesis of bile acids, the PPAR signal pathway, amino acid pathways, and short-chain fatty acids metabolism, all of which were closely correlated with lipid metabolism. We inferred that MDG-1 supplementation in HF mice reversed the symptoms of dislipidemia through the alteration of interactions between multiple pathways, as described above.

2.5. MDG-1 Regulates Gene Expression of PPARs, LXR, and the Target Genes

Based on results of gene microarray, quantitative real-time PCR (qPCR) analysis was used to confirm the differentially expressed genes (PPARα, PPARβ, PPARγ, LXRα, LXRβ, CYP7B1, CYP8B1, ApoE, SREBP-1c, FAS, ACC, CD36, and AP2) in vitro. Compared with the HFD group, we found that the mRNA expression levels of PPARα were significantly increased, whereas the gene expression levels of PPARγ were suppressed observably with MDG-1 intervention (Figure 6a), implying that MDG-1 could improve hyperlipidemia through regulating PPARs signaling. This was largely within our expectations. Besides, MDG-1 could regulate the target genes of PPARα and PPARγ. Figure 6a showed that within the liver, the mRNA expression levels of LXRα, CYP7A1, and CD36 were significantly increased, while FAS and SREBP-1c mRNA expression levels were noticeably suppressed in HFD + MDG-1-treated mice. Moreover, we measured the mRNA levels of PPARα, PPARγ, and their target genes in adipose tissues (Figure 6b). Consistently, we found that MDG-1 could enhance the mRNA levels of PPARα and LXRα, whist reducing the expression of PPARγ and SREBP-1c in white fat. Our data suggested that MDG-1 was a PPARα agonist and a PPARγ antagonist; it could moderate the PPARs pathway, therefore ameliorating hyperlipidemia in HFD-fed mice.

3. Discussion

The recent decades demonstrated excessive caloric intake and sedentary living habits, leading to increasing energy imbalances and ultimately resulting in obesity as well as hyperlipidemia (as public health problems, obesity, and hyperlipidemia are the main incentives of metabolic disorders (MetS) such as diabetes and hypertension with relatively high mortality [6,22,23]). Here, our test shows that MDG-1 has a protective effect on abdominal obesity and the disturbance of lipid metabolism. Moreover, based on hepatic gene microarray and quantitative real-time PCR (qPCR), we could reveal the mechanism of MDG-1 on the prevention of hyperlipidemia in HF diet-fed mice.
In the study, MDG-1 could markedly block the body weight gain in HF diet-induced C57BL/6 mice even when the food intake was not suppressed. This suggested that the body weight reduction by MDG-1 was not due to the lower caloric intake. It is also observed that the body temperature was significantly increased in the MDG-1-treated group as compared to the HFD-group; this result is consistent with our previous findings [24]. Furthermore, MDG-1 treatment resulted in a significant decrease in fat weight as well as adipocyte size. Excessive growth of adipose tissue results in obesity, which includes hyperplastic and hypertrophic [25]. MDG-1 could improve serum lipid levels and markedly lower lipid accumulation and steatosis in the liver tissue in HF diet-fed mice. Hyperlipidemia is a major pathogenic factor for diabetes, because obesity and high lipid levels stimulate excess glucose accumulation. Other than the above-mentioned effects, MDG-1 is also effective at lowering fasting blood glucose and improving glucose tolerance, as well as at ameliorating insulin resistance in HF diet-induced mice. Hence, MDG-1 could be a helpful option to prevent hyperlipidemia.
According to the results of gene microarray and pathway analysis, MDG-1 could regulate some signaling pathways which are closely linked to obesity and lipid metabolism including the digestion and absorption of fat, the biosynthesis and catabolism of fatty acid, and the secretion and biological synthesis of bile acids. Besides, MDG-1 intervention could alter the metabolism of SCFAs and amino acids. In our previous study, MDG-1 treatment could up-regulate the levels of SCFAs (especially butanedioic acid) and slightly alter the contents of amino acids based on the GC-TOF/MS analysis of fecal samples [24]. Moreover, researches indicated that SCFAs [26,27] and some amino acids [28,29] have been proven to impact de novo synthesis of lipids and glucose. Taken together, the core signaling pathways which MDG-1 influenced might interact together, thus exerting beneficial effects on obesity and abnormal lipids in HF mice.
More significantly, based on results from the gene chip and qPCR, we found MDG-1 had a large regulatory effect on PPARs expression. Specifically, MDG-1 intervention was found to activate the expression of PPARα, inhibit the expression of PPARγ, and regulate the expression levels of their target genes. PPARα mainly influences fatty acid metabolism and its activation lowers lipid levels, whereas PPARγ is mostly involved in the regulation of the adipogenesis, energy balance, and lipid biosynthesis [11]. Accumulating evidence has confirmed that promoting the expression of PPARα and its target genes is one of the mechanisms to improve glucose and lipid metabolism disorders in mice induced by high fat meals [30,31]. Cyp4a10 and Cyp4a14 are target genes for PPARα, which promote the oxidation of fatty acids [32]. In our study, we found that the expression levels of PPARα and Cyp4a10, Cyp4a14, and aP2 in the liver tissue of HFD + MDG-1 mice were significantly higher than those in HF group. We thus inferred that MDG-1 may reduce the serum TG content and regulate the oxidation of fatty acids by stimulating the expression of PPARα and its target genes. In addition, Gu et al. [33] found that inhibiting PPARγ could prevent HFD-induced hyperlipidemia. HFD caused an overexpression of PPARγ in liver tissue with steatosis; thus, the deletion of PPARγ could protect against HFD-induced obesity and IR in mice [34,35,36]. In our research, MDG-1 could decrease the expression of PPARγ that is involved in glucose and lipid metabolism, implying MDG-1 may be a potential regulator of PPARγ.
There are 3 core ways that the body carefully regulates to maintain the levels of cholesterol: through synthesis, catabolism, and excretion. A permanent high-cholesterol diet keeps the synthesis of cholesterol at a stagnant level, but it also strongly activates the catabolism and excretion of cholesterol to achieve a homeostatic balance [37]. LXRα is a major hepatic regulator of cholesterol absorption, transport, efflux, and excretion, and mediates cholesterol homeostasis of the body. LXRα is also a PPARα and PPARγ target gene [38,39,40]. Besides, the catabolism of cholesterol involves its breakdown into bile acids and 7α-hydroxylase (CYP7A1), and is the rate-limiting step in this biochemical pathway [41]. In the research, when the intake of cholesterol in the body increases, MDG-1 could significantly increase the activity of LXRα and then increase the transcriptional activity of CYP7A1, thereby accelerating the transformation of cholesterol to bile acids and reducing the body cholesterol levels [42]. The results were generally consistent with our previous study that MDG-1 could regulate the synthesis, secretion, and reabsorption of bile acids.
It was also observed that under the intervention of MDG-1, the expression of SREBP-1c was markedly decreased as compared to the HFD group. The sterol regulatory element-binding proteins (SREBPs) regulate lipid homeostasis and are present in three isoforms: SREBP-1a, SREBP-1c, and SREBP-2, with the second form being the predominant one [43]. Researches show that the transcriptional activity and levels of SREBP-1c are strongly associated with hepatic TG accumulation, insulin resistance, and metabolic dysfunction [44,45,46]. This study found that MDG-1 could significantly improve insulin resistance; we suspect that this improvement could be accounted for through the down-regulation of SREBP expression. At the same time, LXRα was activated, which reminds us that MDG-1 not only reduced the cholesterol content of the body but also decreased the generation of fat.
In conclusion, MDG-1 regulates partial core pathways closely related to lipid metabolism. Furthermore, MDG-1 interacts with peroxisome proliferator-activated receptors (PPAR) α and γ directly, activating PPARα whilst inhibiting PPARγ, thus promoting the metabolism of cholesterol. Besides, MDG-1 could up-regulate the expression of LXRα and CYP7A1 affiliating to PPARs, and inhibit the levels of SREBP-1c, thereby promoting cholesterol uptake and excretion. Hence, MDG-1, as a regulator of PPARα and PPARγ, possesses significant importance in a myriad of biochemical processes such as the regulation of blood lipid metabolism and hyperlipidemia.

4. Materials and Methods

4.1. Chemical and Diet

Chemical MDG-1 was extracted from the radix of O. japonicas and purified according to our previously reported method [18]. High-fat diets (60% of calories derived from fat) and low-fat diets (10% of calories derived from fat) were purchased from Research Diets Inc. (D12492, D12450B, New Brunswick, NJ, USA).

4.2. Animals and Treatment

Eight-week-old C57BL/6J male mice (the animal experiment was approved by the Animal Ethical Experimentation Committee of Shanghai University of Traditional Chinese Medicine and an ethic approval number SZY201511001 was got in November 2015.) were purchased from the Beijing Vital River Laboratory Animal Technology Co., Ltd. (Beijing, China) and kept under a constant controlled temperature (22 ± 3 °C) and on a 12 h light/dark cycle, with free access to water and food during the experiment. The mice were randomly divided into three groups on the basis of body weight for preventive treatment: Con (low-fat diet, n = 8); HFD (high-fat diet, n = 8); and HFD + MDG-1 (5‰ MDG-1 was mixed into the high-fat diet, n = 8). The whole experiment lasted for 12 weeks. During the whole experiment, food intake and body weight were recorded and calculated three times a week. The animals’ protocol was carried out according to the guidelines of the Animal Ethical Experimentation Committee of Shanghai University of Traditional Chinese Medicine, and all procedures were in compliance with the National Institutes of Health Guide for Care and Use of Laboratory Animals (Publication No. 85-23, revised 1985).

4.3. Serum Chemistry Analysis

After a 12 h fast, the mice were given each an intraperitoneal injection of 20% urethane solution and blood samples were taken. The serum samples were collected and isolated from the blood samples after standing for 2 h at 4 °C and centrifuging at 3000 rpm for 10 min at 4 °C. Using a Hitachi 7020 Automatic Analyzer (Hitachi Ltd., Tokyo, Japan), serum triglyceride (TG), total cholesterol (TC), HDL cholesterol (HDL-c), and LDL cholesterol (LDL-c) were determined by using 100 μL of blood serum.

4.4. Liver and Fecal Lipid Contents Analysis

The liver tissues were weighed and homogenized in a 0.5 mL tissue lysis buffer (20 mM Tris-HCl pH 7.5, 150 mM NaCl, 1% Triton) and extracted with an equal volume of chloroform. The chloroform layers were dried and dissolved in isopropyl alcohol to measure lipid levels as described [47].The fecal samples were weighted and milled with PBS solution. The next steps concluded the extraction and measures were same as the above description and the previous reports [47,48].

4.5. Hematoxylin and Eosin (H&E) Staining and Scanning Electron Microscopy

Hematoxylin and eosin (H&E) staining: for H&E staining, the tissue was fixed in 10% formaldehyde, embedded in OCT compound and cut into a 10 mm section according to a standard protocol. The procedures of H&E staining mainly include the following steps: fixing, refrigeration and embedding, modest thawing, rapid sectioning, section flatting, and staining. At last, the sections stained with hematoxylin and eosin were examined under a light microscope.
Scanning Electron Microscopy: scanning electron microscopy was used to examine the structure of fat tissue. According to the related protocols [49], the adipose tissue was fixed in 1% osmium tetraoxide. The images were taken using a Philips XL-30 scanning electron microscope.

4.6. Glucose Tolerance and Insulin Tolerance Tests

Glucose tolerance tests: at end of the whole experiment, after the mice were fasted for 12 h, the fasting glucose levels were determined from the tail vein (0 min) before the injection of glucose. Additional blood samples were collected at regular intervals (15, 30, 60, 90, and 120 min) for glucose measurements following the injection of glucose (1 g/kg body weight).
Insulin tolerance tests: without the fasting of mice, mice were injected 0.3405 uL/mL insulin (0.75 U/kg body weight) by intraperitoneal, then measured at blood glucose levels of 0, 15, 30, 60, 90, and 120 min intervals.

4.7. Gene Array Experiment

4.7.1. RNA Preparation and cDNA Generation

Total RNA was extracted from the liver tissue samples using the TRizol Reagent and NucleoSpin® RNA Clean-up Kits and purified using the MessageAmp™ Premier RNA Amplification Kit (Thermo Fisher Scientific). Then, cDNA was synthesized by reverse transcription according to the instructions of one Poly-A RNA Control Kit (besides, cDNA was labeled with fluorescence and purified by purification column).

4.7.2. Gene Array Experiment and Gene Array Data Analysis

The gene chip was constructed according to the manufacturer’s instructions and previous studies [50,51]. The gene expression was detected by the Affymetrix scanner (GeneChip® Scanner 3000, Thermo Fisher Scientific). Based on the RMA algorithm, the data could be analyzed by differential expression gene analysis and another series of follow-up analyses.

4.8. Quantitative Real-Time PCR Analysis of Animal Tissues

The protocol of RT-PCR followed the published methods [19,48]. Briefly, the liver and white fat tissues (around 100 mg) were homogenized (65 Hz, 2 min) in 1 mL RNAiso Plus. Then, total RNA was extracted according to the previous description. The cDNA was synthesized using a cDNA synthesis kit (Applied Biosystems, Grand Island, NY, USA), and gene expression levels were measured by quantitative real-time RT-PCR using the ABI Step one Plus Real-Time PCR system (Applied Biosystems). The primers used in the experiments are shown in Table 1.

4.9. Stastical Analysis

All data were presented as means ± SD and analyzed using SPSS 21.0 for Windows. Statistical analysis was performed using one-way analysis of wariance (ANOVA). In the study, p < 0.05 showed significant difference when p > 0.05 represented not significant. All data were illustrated by GraphPad software (Inc., San Diego, CA, USA).

5. Conclusions

In summary, we found that MDG-1could prevent the development of obesity and ameliorates dyslipidemia in HFD-induced obese mice. These effects appear to be mediated through the inhibition of PPARγ and activation of PPARα as well as regulation of their target genes. Thus, our results suggest that MDG-1 may have remarkable function of adjusting the serum lipid.

Acknowledgments

This work was supported by the Expenditure Budget program of Shanghai Municipal Education Commission (No.2015YSN26), the Natural Science Foundation of Shanghai (16ZR1437200), and the Shanghai Municipal Commission of Health and Family Planning (ZY3-CCCX-3-5001)

Author Contributions

Yuan Wang and Yi Feng conceived and designed the experiments; Xu Wang and Linlin Shi performed the experiments; Xu Wang analyzed the data and wrote the paper; Sun Joyce modified and proofread this paper. All authors read and approved the final manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

HFDHigh-fat diet
DIODiet-induced obese
TCTotal cholesterol
TGTotal triglyceride
HDL-cHigh-density lipoprotein cholesterol
LDL-cLow-density lipoprotein cholesterol
PPARsPeroxisome proliferator-activated receptors
SCFAsShort-chain fatty acids
qPCRQuantitative real-time PCR
H&E stainingHematoxylin and eosin staining

References

  1. Bourbon, M.; Alves, A.C.; Alonso, R.; Mata, N.; Aguiar, P.; Padro, T.; Mata, P. Mutational analysis and genotype-phenotype relation in familial hypercholesterolemia: The SAFEHEART registry. Atherosclerosis 2017, 262, 8–13. [Google Scholar] [CrossRef] [PubMed]
  2. Iacocca, M.A.; Hegele, R.A. Recent advances in genetic testing for familial hypercholesterolemia. Expert. Rev. Mol. Diagn. 2017, 17, 641–651. [Google Scholar] [CrossRef] [PubMed]
  3. Chang, C.J.; Jian, D.Y.; Lin, M.W.; Zhao, J.Z.; Ho, L.T.; Juan, C.C. Evidence in obese children: Contribution of hyperlipidemia, obesity-inflammation, and insulin sensitivity. PLoS ONE 2015, 10, e0125935. [Google Scholar] [CrossRef] [PubMed]
  4. Navar-Boggan, A.M.; Peterson, E.D.; D’agostino, R.B.; Neely, B.; Sniderman, A.D.; Pencina, M.J. Hyperlipidemia in early adulthood increases long-term risk of coronary heart disease. Circulation 2015, 131, 451–458. [Google Scholar] [CrossRef] [PubMed]
  5. Rai, S.; Bhatnagar, S. Hyperlipidemia, disease associations, and top 10 potential drug targets: A network View. OMICS 2016, 20, 152–168. [Google Scholar] [CrossRef] [PubMed]
  6. Zhou, X.; Zhang, W.; Liu, X.; Zhang, W.; Li, Y. Interrelationship between diabetes and periodontitis: Role of hyperlipidemia. Arch. Oral. Biol. 2015, 60, 667–674. [Google Scholar] [CrossRef] [PubMed]
  7. Lan, J.; Zhao, Y.; Dong, F.; Yan, Z.; Zheng, W.; Fan, J.; Sun, G. Meta-analysis of the effect and safety of berberine in the treatment of type 2 diabetes mellitus, hyperlipemia and hypertension. J. Ethnopharmacol. 2015, 161, 69–81. [Google Scholar] [CrossRef] [PubMed]
  8. Parikh, N.H.; Parikh, P.K.; Kothari, C. Indigenous plant medicines for health care: Treatment of diabetes mellitus and hyperlipidemia. Chin. J. Nat. Med. 2014, 12, 335–344. [Google Scholar] [CrossRef]
  9. Wu, J.B.; Kuo, Y.H.; Lin, C.H.; Ho, H.Y.; Shih, C.C. Tormentic acid, a major component of suspension cells of Eriobotrya japonica, suppresses high-fat diet-induced diabetes and hyperlipidemia by glucose transporter 4 and AMP-activated protein kinase phosphorylation. J. Agric. Food Chem. 2014, 62, 10717–10726. [Google Scholar] [CrossRef] [PubMed]
  10. Kidani, Y.; Bensinger, S.J. Liver X receptor and peroxisome proliferator-activated receptor as integrators of lipid homeostasis and immunity. Immunol. Rev. 2012, 249, 72–83. [Google Scholar] [CrossRef] [PubMed]
  11. Grygiel-Gorniak, B. Peroxisome proliferator-activated receptors and their ligands: Nutritional and clinical implications—A review. Nutr. J. 2014, 13, 17. [Google Scholar] [CrossRef] [PubMed]
  12. Gupta, M.; Mahajan, V.K.; Mehta, K.S.; Chauhan, P.S.; Rawat, R. Peroxisome proliferator-activated receptors (PPARs) and PPAR agonists: The “future” in dermatology therapeutics? Arch. Dermatol. Res. 2015, 307, 767–780. [Google Scholar] [CrossRef] [PubMed]
  13. Laganà, A.S.; Vitale, S.G.; Nigro, A.; Sofo, V.; Salmeri, F.M.; Rossetti, P.; Rapisarda, A.M.; la Vignera, S.; Condorelli, R.A.; Rizzo, G.; et al. Pleiotropic actions of peroxisome proliferator-activated receptors (PPARs) in dysregulated metabolic homeostasis, inflammation and cancer: Current evidence and future perspectives. Int. J. Mol. Sci. 2016, 17, 999. [Google Scholar] [CrossRef] [PubMed]
  14. Mansour, M. The roles of peroxisome proliferator-activated receptors in the metabolic syndrome. Prog. Mol. Biol. Transl. Sci. 2014, 121, 217–266. [Google Scholar] [PubMed]
  15. Fan, S.; Guo, L.; Zhang, Y.; Sun, Q.; Yang, B.; Huang, C. Okra polysaccharide improves metabolic disorders in high-fat diet-induced obese C57BL/6 mice. Mol. Nutr. Food Res. 2013, 57, 2075–2078. [Google Scholar] [CrossRef] [PubMed]
  16. Chen, W.; Xia, Y.P.; Chen, W.J.; Yu, M.H.; Li, Y.M.; Ye, H.Y. Improvement of myocardial glycolipid metabolic disorder in diabetic hamster with Astragalus polysaccharides treatment. Mol. Biol. Rep. 2012, 39, 7609–7615. [Google Scholar] [CrossRef] [PubMed]
  17. Yu, C.H.; Dai, X.Y.; Chen, Q.; Zang, J.N.; Deng, L.L.; Liu, Y.H.; Ying, H.Z. Hypolipidemic and antioxidant activities of polysaccharides from Rosae Laevigatae Fructus in rats. Carbohydr. Polym. 2013, 94, 56–62. [Google Scholar] [CrossRef] [PubMed]
  18. Xu, D.S.; Feng, Y.; Lin, X.; Deng, H.L.; Fang, J.N.; Dong, Q. Isolation: Purification and structural analysis of a polysaccharide MDG-1 from Ophiopogon japonicas. Acta Pharm. Sin. B 2005, 40, 636–639. [Google Scholar]
  19. Shi, L.; Wang, J.; Wang, Y.; Feng, Y. MDG-1, an Ophiopogon polysaccharide, alleviates hyperlipidemia in mice based on metabolic profile of bile acids. Carbohydr. Polym. 2016, 150, 74–81. [Google Scholar] [CrossRef] [PubMed]
  20. Wang, Y.; Zhu, Y.; Ruan, K.; Wei, H.; Feng, Y. MDG-1, a polysaccharide from Ophiopogon japonicus, prevents high fat diet-induced obesity and increases energy expenditure in mice. Carbohydr. Polym. 2014, 114, 183–189. [Google Scholar] [CrossRef] [PubMed]
  21. Xu, J.; Wang, Y.; Xu, D.S.; Ruan, K.F.; Feng, Y.; Wang, S. Hypoglycemic effects of MDG-1, a polysaccharide derived from Ophiopogon japonicas, in the ob/ob mouse model of type 2 diabetes mellitus. Int. J. Biol. Macromol. 2011, 49, 657–662. [Google Scholar] [CrossRef] [PubMed]
  22. Graham, I.M.; Catapano, A.L.; Wong, N.D. Current guidelines on prevention with a focus on dyslipidemias. Cardiovasc. Diagn. Ther. 2017, 7 (Suppl. S1), S4–S10. [Google Scholar] [CrossRef] [PubMed]
  23. Han, B.H.; Sutin, D.; Williamson, J.D.; Davis, B.R.; Piller, L.B.; Pervin, H.; Pressel, S.L.; Blaum, C.S. Effect of statin treatment vs usual care on primary cardiovascular prevention among older adults: The ALLHAT-LLT randomized clinical trial. JAMA Intern. Med. 2017, 177, 955–965. [Google Scholar] [CrossRef] [PubMed]
  24. Zhu, Y.; Cong, W.; Shen, L.; Wei, H.; Wang, Y.; Wang, L.; Ruan, K.; Wu, F.; Feng, Y. Fecal metabonomic study of a polysaccharide, MDG-1 from Ophiopogon japonicus on diabetic mice based on gas chromatography/time-of-flight mass spectrometry (GC TOF/MS). Mol. Biosyst. 2014, 10, 304–312. [Google Scholar] [CrossRef] [PubMed]
  25. Lee, H.S.; Lee, Y.J.; Chung, Y.H.; Nam, Y.; Kim, S.T.; Park, E.S.; Hong, S.M.; Yang, Y.K.; Kim, H.C.; Jeong, J.H. Beneficial effects of red yeast rice on high-fat diet-induced obesity, hyperlipidemia, and fatty liver in mice. J. Med. Food 2015, 18, 1095–1102. [Google Scholar] [CrossRef] [PubMed]
  26. Lu, Y.; Fan, C.; Li, P.; Lu, Y.; Chang, X.; Qi, K. Short chain fatty acids prevent high-fat-diet-induced obesity in mice by regulating G protein-coupled receptors and gut microbiota. Sci. Rep. 2016, 6. [Google Scholar] [CrossRef] [PubMed]
  27. Cummings, J.; Pomare, E.W.; Branch, W.J.; Naylor, C.P.; Macfarlane, G.T. Short chain fatty acids in human large intestine, portal, hepatic and venous blood. Gut 1987, 28, 1221–1227. [Google Scholar] [CrossRef] [PubMed]
  28. Adeva-Andany, M.M.; Lopez-Maside, L.; Donapetry-Garcia, C.; Fernandez-Fernandez, C.; Sixto-Leal, C. Enzymes involved in branched-chain amino acid metabolism in humans. Amino Acids 2017, 49, 1005–1028. [Google Scholar] [CrossRef] [PubMed]
  29. Hong, M.; Jung, J.; Park, H.S.; Lee, S.M.; Jeong, N.J.; Kim, S.H.; Lee, K.W.; Lee, J.A.; Kim, M.S. Shaofu Zhuyu decoction ameliorates obesity-mediated hepatic steatosis and systemic inflammation by regulating metabolic pathways. PLoS ONE 2017, 12, e0178514. [Google Scholar] [CrossRef] [PubMed]
  30. Gu, M.; Zhang, Y.; Fan, S.; Ding, X.; Ji, G.; Huang, C. Extracts of Rhizoma polygonati odorati prevent high-fat diet-induced metabolic disorders in C57BL/6 mice. PLoS ONE 2013, 8, e81724. [Google Scholar] [CrossRef] [PubMed]
  31. Ding, X.; Guo, L.; Zhang, Y.; Fan, S.; Gu, M.; Lu, Y.; Jiang, D.; Li, Y.; Huang, C.; Zhou, Z. Extracts of pomelo peels prevent high-fat diet-induced metabolic disorders in C57BL/6 mice through activating the PPARα and GLUT4 pathway. PLoS ONE 2013, 8, e77915. [Google Scholar] [CrossRef] [PubMed]
  32. Yu, J.; Chu, E.S.; Hui, A.Y.; Cheung, K.F.; Chan, H.L.; Leung, W.K.; Farrell, G.C.; Sung, J.J. Lipoprotein lipase activator ameliorates the severity of dietary steatohepatitis. Biochem. Biophys. Res. Commun. 2007, 356, 53–59. [Google Scholar] [CrossRef] [PubMed]
  33. Gu, M.; Fan, S.; Liu, G.; Guo, L.; Ding, X.; Lu, Y.; Zhang, Y.; Ji, G.; Huang, C. Extract of wax gourd peel prevents high-fat diet-induced hyperlipidemia in C57BL/6 mice via the inhibition of the PPARγ pathway. Evid. Based Complement Alternat. Med. 2013, 2013, 342561. [Google Scholar] [CrossRef] [PubMed]
  34. Morán-Salvador, E.; López-Parra, M.; García-Alonso, V.; Titos, E.; Martínez-Clemente, M.; González-Périz, A.; López-Vicario, C.; Barak, Y.; Arroyo, V.; Clària, J. Role for PPARγ in obesity-induced hepatic steatosis as determined by hepatocyte- and macrophage-specific conditional knockouts. FASEB J. 2011, 25, 2538–2550. [Google Scholar] [CrossRef] [PubMed]
  35. Wang, Z.; Kim, J.H.; Jang, Y.S.; Kim, C.H.; Lee, J.Y.; Lim, S.S. Anti-obesity effect of Solidago virgaurea var. gigantea extract through regulation of adipogenesis and lipogenesis pathways in high-fat diet-induced obese mice (C57BL/6N). Food Nutr. Res. 2017, 61, 1273479. [Google Scholar] [CrossRef] [PubMed]
  36. Gao, H.T.; Cheng, W.Z.; Xu, Q.; Shao, L.X. Dietary restriction reduces blood lipids and ameliorates liver function of mice with hyperlipidemia. J. Huazhong Univ. Sci. Technolog. Med. Sci. 2017, 37, 79–86. [Google Scholar] [PubMed]
  37. Chiang, J.Y. Bile acid metabolism and signaling. Compr. Physiol. 2013, 3, 1191–1212. [Google Scholar] [PubMed]
  38. Pannu, P.S.; Allahverdian, S.; Francis, G.A. Oxysterol generation and liver X receptor-dependent reverse cholesterol transport: Not all roads lead to Rome. Mol. Cell Endocrinol. 2013, 368, 99–107. [Google Scholar] [CrossRef] [PubMed]
  39. He, X.W.; Yu, D.; Li, W.L.; Zheng, Z.; Lv, C.L.; Li, C.; Liu, P.; Xu, C.Q.; Hu, X.F.; Jin, X.P. Anti-atherosclerotic potential of baicalin mediated by promoting cholesterol efflux from macrophages via the PPARγ–LXRα–ABCA1/ABCG1 pathway. Biomed. Pharmacother. 2016, 83, 257–264. [Google Scholar] [CrossRef] [PubMed]
  40. Sang, G.; Zhu, Y.; Yang, G.; Zhang, H. Preparation and characterization of high porosity cement-based foam material. Construct. Build. Mater. 2015, 91, 133–137. [Google Scholar] [CrossRef]
  41. Qi, Y.; Jiang, C.; Cheng, J.; Krausz, K.W.; Li, T.; Ferrell, J.M.; Gonzalez, F.J.; Chiang, J.Y. Bile acid signaling in lipid metabolism: Metabolomic and lipidomic analysis of lipid and bile acid markers linked to anti-obesity and anti-diabetes in mice. Biochim. Biophys. Acta 2015, 1851, 19–29. [Google Scholar] [CrossRef] [PubMed]
  42. Ducheix, S.; Montagner, A.; Theodorou, V.; Ferrier, L.; Guillou, H. The liver X receptor: A master regulator of the gut-liver axis and a target for non-alcoholic fatty liver disease. Biochem. Pharmacol. 2013, 86, 96–105. [Google Scholar] [CrossRef] [PubMed]
  43. Iichiro Shimomura, Y.B.; Jay, D. Horton, Increased levels of nuclear SREBP-1c associated with fatty livers in two mouse models of diabetes mellitus. J. Biolog. Chem. 1999, 274, 30028–30032. [Google Scholar] [CrossRef]
  44. Foufelle, P.F.F. Hepatic steatosis: A role for de novo lipogenesis and the transcription factor SREBP-1c. Diabetes Obes. Metab. 2010, 12 (Suppl. S2), 83–92. [Google Scholar]
  45. Li, G.; Zhou, F.; Chen, Y.; Zhang, W.; Wang, N. Kukoamine A attenuates insulin resistance and fatty liver through downregulation of Srebp-1c. Biomed. Pharmacother. 2017, 89, 536–543. [Google Scholar] [CrossRef] [PubMed]
  46. Moon, Y.A. The SCAP/SREBP pathway: A mediator of hepatic steatosis. Endocrinol. Metab. 2017, 32, 6–10. [Google Scholar] [CrossRef] [PubMed]
  47. Fan, S.; Zhang, Y.; Hu, N.; Sun, Q.; Ding, X.; Li, G.; Zheng, B.; Gu, M.; Huang, F.; Sun, Y.Q.; et al. Extract of Kuding tea prevents high-fat diet-induced metabolic disorders in C57BL/6 mice via liver X receptor (LXR) β antagonism. PLoS ONE 2012, 7, e51007. [Google Scholar] [CrossRef] [PubMed]
  48. Yu, L.; Cai, W.; Zhang, Y.; Feng, L.; Huang, C. Red bayberry extract prevents high-fat diet-induced metabolic disorders in C57BL/6 mice. J. Funct. Foods 2015, 14, 278–288. [Google Scholar] [CrossRef]
  49. Chun, T.H.; Inoue, M.; Morisaki, H.; Yamanaka, I.; Miyamoto, Y.; Okamura, T.; Sato-Kusubata, K.; Weiss, S.J. Genetic link between obesity and MMP14-dependent adipogenic collagen turnover. Diabetes 2010, 59, 2484–2494. [Google Scholar] [CrossRef] [PubMed]
  50. Le, R.; Kou, Z.; Jiang, Y.; Li, M.; Huang, B.; Liu, W.; Li, H.; Kou, X.; He, W.; Rudolph, K.L.; et al. Enhanced telomere rejuvenation in pluripotent cells reprogrammed via nuclear transfer relative to induced pluripotent stem cells. Cell Stem Cell 2014, 14, 27–39. [Google Scholar] [CrossRef] [PubMed]
  51. Gao, Y.; Chen, J.; Li, K.; Wu, T.; Huang, B.; Liu, W.; Kou, X.; Zhang, Y.; Huang, H.; Jiang, Y.; et al. Replacement of Oct4 by Tet1 during iPSC induction reveals an important role of DNA methylation and hydroxymethylation in reprogramming. Cell Stem Cell 2013, 12, 453–469. [Google Scholar] [CrossRef] [PubMed]
Ijms 18 01930 g001 550
Figure 1. MDG-1 blocks obesity in diet-induced obese (DIO) mice. (a) Body weight gain; (b) food intake amount; (c) body temperature; (d) mass of subcutaneous fat. Data were presented as means ± SD (n = 8). * p < 0.05, ** p < 0.01 vs. high-fat diet (HFD) group.
Figure 1. MDG-1 blocks obesity in diet-induced obese (DIO) mice. (a) Body weight gain; (b) food intake amount; (c) body temperature; (d) mass of subcutaneous fat. Data were presented as means ± SD (n = 8). * p < 0.05, ** p < 0.01 vs. high-fat diet (HFD) group.
Ijms 18 01930 g001
Ijms 18 01930 g002 550
Figure 2. Images of white adipocytes and liver tissue. (a) Hematoxylin and eosin (H&E) staining of adipose tissue (×200); (b) electronic scanning microscopy of adipose tissue (×200); (c) H&E staining of liver tissue (×200).
Figure 2. Images of white adipocytes and liver tissue. (a) Hematoxylin and eosin (H&E) staining of adipose tissue (×200); (b) electronic scanning microscopy of adipose tissue (×200); (c) H&E staining of liver tissue (×200).
Ijms 18 01930 g002
Ijms 18 01930 g003 550
Figure 3. MDG-1 attenuates dyslipidaemia in DIO mice. (a) Serum total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c); (b) TC and TG contents in the mice liver; (c) TC and TG contents in the mice stool. Data were presented as means ± SD (n = 8). * p < 0.05, ** p < 0.01 vs. the HFD group.
Figure 3. MDG-1 attenuates dyslipidaemia in DIO mice. (a) Serum total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c); (b) TC and TG contents in the mice liver; (c) TC and TG contents in the mice stool. Data were presented as means ± SD (n = 8). * p < 0.05, ** p < 0.01 vs. the HFD group.
Ijms 18 01930 g003
Ijms 18 01930 g004 550
Figure 4. MDG-1 improves glucose tolerance and insulin resistance in obese mice. (a) Fasting blood glucose level; (b) glucose tolerance test (GTT); (c) insulin tolerance test (ITT); (d) quantification of the area under the ITT curve. Data were presented as means ± SD (n = 8). * p < 0.05, ** p < 0.01 vs. HFD group.
Figure 4. MDG-1 improves glucose tolerance and insulin resistance in obese mice. (a) Fasting blood glucose level; (b) glucose tolerance test (GTT); (c) insulin tolerance test (ITT); (d) quantification of the area under the ITT curve. Data were presented as means ± SD (n = 8). * p < 0.05, ** p < 0.01 vs. HFD group.
Ijms 18 01930 g004
Ijms 18 01930 g005 550
Figure 5. MDG-1 effects the expression of lipid genes in HFD-fed mice by gene chip technology. (a) 3D-PCA; (b) the different genes clustering diagram; (c) pathway analysis; (d) the core pathway network. Data were presented as means ± SD (n = 3). * p < 0.05, ** p < 0.01 vs. the HFD group.
Figure 5. MDG-1 effects the expression of lipid genes in HFD-fed mice by gene chip technology. (a) 3D-PCA; (b) the different genes clustering diagram; (c) pathway analysis; (d) the core pathway network. Data were presented as means ± SD (n = 3). * p < 0.05, ** p < 0.01 vs. the HFD group.
Ijms 18 01930 g005
Ijms 18 01930 g006 550
Figure 6. MDG-1 regulates gene expression of peroxisome proliferator-activated receptors (PPARs) and the target genes. (a) The mRNA expression levels of the genes in liver; (b) the mRNA expression levels of the genes in white fat. Data were presented as means ± SD (n = 8). * p < 0.05, ** p < 0.01 vs. the HFD group.
Figure 6. MDG-1 regulates gene expression of peroxisome proliferator-activated receptors (PPARs) and the target genes. (a) The mRNA expression levels of the genes in liver; (b) the mRNA expression levels of the genes in white fat. Data were presented as means ± SD (n = 8). * p < 0.05, ** p < 0.01 vs. the HFD group.
Ijms 18 01930 g006
Table
Table 1. Primer sequences of Real-time PCR.
Table 1. Primer sequences of Real-time PCR.
GeneForward PrimerReverse Primer
β-ActinTGTCCACCTTCCAGCAGATGTAGCTCAGTAACAGTCCGCCTAGA
PPARαAGGCTGTAAGGGCTTCTTTCGGGCATTTGTTCCGGTTCTTC
PPARβAGTGACCTGGCGCTCTTCATCGCAGAATGGTGTCCTGGAT
PPARγCGCTGATGCACTGCCTATGAAGAGGTCCACAGAGCTGATTCC
LXRαGAGTGTCGACTTCGCAAATGCCCTCTTCTTGCCGCTTCAGT
LXRβCAGGCTTGCAGGTGGAATTCATGGCGATAAGCAAGGCATACT
Cyp7a1GTGGTAGTGAGCTGTTGCATATGGCACAGCCCAGGTATGGAATCA
CYP8B1GGACAGCCTATCCTTGGTGAGACGGAACTTCCTGAACAGC
SREBP-1cGGCTATTCCGTGAACATCTCCTAATCCAAGGGCATCTGAGAACTC
FASCTGAGATCCCAGCACTTCTTGAGCCTCCGAAGCCAAATGAG
ACC-1GAATCTCCTGGTGACAATGCTTATTGGTCTTGCTGAGTTGGGTTAGCT
aP2CATGGCCAAGCCCAACATCGCCCAGTTTGAAGGAAATC
ApoEGAACCGCTTCTGGGATTACCTTCAGTGCCGTCAGTTCTTGTG
CD36GCTTGCAACTGTCAGCACATGCCTTGCTGTAGCCAAGAAC

Share and Cite

MDPI and ACS Style

Wang, X.; Shi, L.; Joyce, S.; Wang, Y.; Feng, Y. MDG-1, a Potential Regulator of PPARα and PPARγ, Ameliorates Dyslipidemia in Mice. Int. J. Mol. Sci. 2017, 18, 1930. https://doi.org/10.3390/ijms18091930

AMA Style

Wang X, Shi L, Joyce S, Wang Y, Feng Y. MDG-1, a Potential Regulator of PPARα and PPARγ, Ameliorates Dyslipidemia in Mice. International Journal of Molecular Sciences. 2017; 18(9):1930. https://doi.org/10.3390/ijms18091930

Chicago/Turabian Style

Wang, Xu, Linlin Shi, Sun Joyce, Yuan Wang, and Yi Feng. 2017. "MDG-1, a Potential Regulator of PPARα and PPARγ, Ameliorates Dyslipidemia in Mice" International Journal of Molecular Sciences 18, no. 9: 1930. https://doi.org/10.3390/ijms18091930

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop