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Effects of Dietary Genistein on Plasma and Liver Lipids, Hepatic Gene Expression, and Plasma Metabolic Profiles of Hamsters with Diet-induced Hyperlipidemia Chaohua Tang, Kai Zhang, Qingyu Zhao, and Junmin Zhang J. Agric. Food Chem., Just Accepted Manuscript • DOI: 10.1021/acs.jafc.5b01590 • Publication Date (Web): 27 Aug 2015 Downloaded from http://pubs.acs.org on September 1, 2015
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Journal of Agricultural and Food Chemistry
Effects of Dietary Genistein on Plasma and Liver Lipids, Hepatic Gene Expression, and Plasma Metabolic Profiles of Hamsters with Diet-induced Hyperlipidemia Chaohua Tang,† Kai Zhang,† Qingyu Zhao,† Junmin Zhang†,* †
Institute of Animal Science, Chinese Academy of Agricultural Sciences, No.2 Yuan Ming Yuan
West Road, Haidian District, 100193, Beijing, China. *
Correspondence:
Professor
Junmin
Zhang,
email
address:
86-010-62815537, tel.: 86-010-62815852. Short title: Dietary Genistein on Hyperlipidemia.
1
ACS Paragon Plus Environment
[email protected],
fax:
Journal of Agricultural and Food Chemistry
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Abstract
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Male hamsters were fed one of the following three diets (n = 15): normal fat diet (NFD), high fat
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diet (HFD), or HFD + 2 g/kg genistein for 6 weeks, and the effects of dietary genistein on
4
hyperlipidemia were investigated using traditional and 1H NMR metabonomic approaches. At 6
5
weeks, compared with the hamsters in the NFD group, those in the HFD group had higher plasma
6
and liver lipids (P < 0.05). Hyperlipidemia was alleviated in the genistein group, with lower plasma
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cholesterol (9.11 ± 0.40 vs. 12.4 ± 0.37 mmol/L), triglyceride (8.07 ± 1.08 vs. 14.7 ± 1.18 mmol/L),
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LDL-cholesterol (2.69 ± 0.20 vs. 4.48 ± 0.27 mmol/L), malondialdehyde (7.77 ± 1.64 vs. 14.0 ±
9
1.15 µmol/L) and liver cholesterol (20.9 ± 1.01 vs. 29.9 ± 2.76 µmol/g) than those in the HFD
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group (P < 0.05). Hepatic LDL receptor, estrogen receptors α and β mRNA expression in the
11
genistein group were significantly up-regulated, compared with the HFD group (P < 0.05). In the
12
1
13
differed in the three groups and the metabolic profile of the genistein group was shifted towards that
14
of the NFD group. These results extend our understanding of the beneficial effects of genistein on
15
hyperlipidemia.
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Keywords: Genistein, Plasma lipid, Liver lipid, Hepatic gene expression, Plasma metabolic profile,
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Hamster, Hyperlipidemia
H NMR metabonomic analysis, both the small and macromolecular plasma metabolite profiles
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Introduction
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The elevation of blood lipids, hyperlipidemia, has a variety of etiologies. The clinically significant
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consequences of hyperlipidemia include two life-threatening conditions, pancreatitis and
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atherosclerosis. Atherosclerosis is responsible for a large proportion of cardiovascular diseases,
22
which are themselves responsible for up 10% of the worldwide disease burden.1 In 1999, the U.S.
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Food and Drug Administration stated that soy protein, as part of a diet low in saturated fat and
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cholesterol, may reduce the risk of coronary heart disease by lowering blood cholesterol levels.2
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The soy isoflavones contained in soy protein may account for 60%–70% of the
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hypocholesterolemic effects of soy protein.3
27
Soy isoflavones are reported to improve lipid metabolism in normocholesterolemic
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premenopausal women and hyperlipidemic men.4, 5 Genistein (GSN), the principal soy isoflavone,
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may modulate the estrogen receptors and estrogen-receptor-dependent gene expression and regulate
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lipid metabolism through its biological similarity to estrogens.6 GSN acts through multiple
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mechanisms, including the inhibition of cholesterol synthesis and its esterification, significantly
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reducing the secretion by cells of apolipoprotein B, the primary lipoprotein of low-density
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lipoprotein (LDL) particles.7 Both in vivo and in vitro studies have suggested that GSN lowers
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cholesterol levels by increasing LDL receptor (LDL-R) activity.7, 8 Study has also suggested that
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peroxisome proliferator-activated receptor α (PPARα) is activated by GSN in vitro,9 whereas it was
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not affected by GSN in in vivo studies.10,
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mitogen-activated protein kinase (MAPK) pathway in vitro.12 Taken together, these data indicate
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that multiple mechanisms are responsible for the effects of GSN on lipid metabolism, and that these
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require further investigation.
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Another study reported that GSN affects the
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Metabonomics, the high-throughput identification and quantification of small-molecule
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metabolites in the metabolome, is a useful method with which to improve our understanding of the
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dynamic biochemical compositions of living systems.13 Nuclear magnetic resonance (NMR) is one 3
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of two instruments (another is mass spectrometry) typically used for the acquisition of
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metabonomic data, to characterize how metabolic profiles respond to bioactive components.14, 15
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Metabonomic analyses also generate a more complete picture of the metabolic status of living
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systems than do traditional approaches. One of the first studies to use metabonomic techniques in a
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dietary intervention trial examined the effects of soy-derived proteins and soy isoflavones.
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Significant differences were detected in the lipoprotein, amino acid, and carbohydrate profiles of
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the treated subjects, which were related to the metabolic pathways responsible for osmolyte
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fluctuation and energy metabolism. However, no previous study has investigated the changes in the
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metabolic profiles induced by the ingestion of GSN in individuals with hyperlipidemia.
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In this study, the hamster, an excellent animal model for studying hyperlipidemia,17 was used to
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determine the effects of GSN on high fat diet (HFD)-induced hyperlipidemia using both traditional
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and 1H NMR metabonomic approaches. We also investigated the organ weights, the lipid levels in
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the plasma and liver, the hepatic expression of genes related to lipid metabolism, and the plasma
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metabolic profiles of the hamsters.
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Materials and methods
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Chemicals
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GSN was purchased from Chengdu Must Bio-technology Co., Ltd (Chengdu, China). Oil-Red O
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and 2-propanol were from Sigma–Aldrich (Shanghai, China). TRIzol Reagent was obtained from
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Invitrogen (Carlsbad, CA, USA). Moloney murine leukemia virus reverse transcriptase and dNTPs
62
were purchased from TaKaRa Bio, Inc. (Dalian, China). EvaGreen® reagents were provided by
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Biotium Inc. (Hayward, CA, USA). D2O was obtained from Cambridge Isotope Laboratories, Inc.
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(Tewksbury, MA, USA) and sodium trimethylsilyl propionate from Merck KGaA (Darmstadt,
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Germany).
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Animal treatment and management
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Forty-five male golden Syrian hamsters (9 weeks old) were purchased from Charles River 4
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Company (Vital River, Beijing, China). After acclimation for 1 week, the hamsters were randomly
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assigned to one of the following dietary groups (n = 15 each): normal fat diet (NFD) group, HFD
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group, or HFD + 2 g/kg GSN group (equivalent to 76 mg/kg body weight). GSN (98%) was mixed
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in with the feed. The dose of GSN used in this study was based on a former study in which the
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serum and hepatic lipids of mice fed a HFD were not affected until the level of dietary GSN
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supplementation reached 2 g/kg.10 No adverse effects occurred at the dose used based on a 90-day
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feeding study which showed no toxicity in animals fed GSN at doses up to 63 mg/kg bodyweight/d
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or a GSN/daidzein isoflavone mixture (2:1) at 100 mg/kg bodyweight/d.18 The present study was
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conducted over 6 weeks and the hamsters were given access to feed and water ad libitum. Dietary
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consumption and bodyweight were measured every week and after 6 weeks. The NFD (protein 22
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g%, fat 5 g%, carbohydrate 54 g%) was formulated based on the hamsters’ nutritional requirements
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and was produced by Beijing Keao Xieli Feed Co., Ltd (Beijing, China). The HFD (protein 20 g%,
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fat 21 g%, carbohydrate 50 g%) was purchased from Research Diets Inc. (New Brunswick, NJ,
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USA). The animals were housed in steel cages (five hamsters per cage) in an environmentally
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controlled room (20–24 °C, 12 h alternating light:dark cycle). The study protocol was approved by
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the Animal Care and Use Committee of the Chinese Academy of Agricultural Sciences.
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Sample collection
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In order to meet the statistical requirements of metabonomics data (n≥6) and to reduce the errors
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resulted from sampling time (were all the hamsters sampled, sampling would have taken a whole
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day). After fasting for 12 h, six hamsters from each treatment group were killed under anesthesia
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induced with pentobarbital. Blood was obtained from the orbital vein with heparin-treated glass
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capillary tubes. Plasma was obtained after the blood was centrifuged (3000 rpm at 4 °C for 10 min),
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and stored at −80 °C until analysis. The liver, heart, kidney, and abdominal and epididymal fat were
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separated, weighed, and flash frozen in liquid nitrogen.
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Plasma parameters, hepatic lipid determination, and Oil-Red O staining 5
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The plasma total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL–C),
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and LDL–cholesterol (LDL–C) were determined with an autoanalyzer (Hitachi 7060, Hitachi,
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Chiyoda, Tokyo, Japan) with commercial kits (BioSino Bio-technology and Science Inc., Beijing,
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China). The superoxide dismutase (SOD), malondialdehyde (MDA), and free fatty acids (FFA) in
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the plasma, and hepatic TC and TG were measured with commercial kits (Jiancheng Biotechnology,
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Nanjing, China). The same liver lobes were sampled from the hamsters in each group, immersed in
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liquid nitrogen, and stored at −80 °C until frozen sectioning. The sections were rinsed with distilled
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water, stained with 0.2% Oil-Red O and 60% 2-propanol for 10 min at 37 °C, and then rinsed again
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with distilled water. Lipid accumulation in the liver was then observed under a microscope (Leica
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DM4000B, Bensheim, Germany) and photographed.
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Real-Time PCR
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The expression of 13 genes involved in lipid metabolism in the liver was determined with
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Real-Time PCR. Total RNA was extracted from the liver with TRIzol Reagent, and quantified
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spectrophotometrically. Complementary DNA was synthesized with Moloney murine leukemia
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virus reverse transcriptase, random hexamers, deoxyribonucleosides, RNase inhibitor, and 4 µg of
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total RNA. The mRNA expression of the target genes was determined with Real-Time PCR using
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EvaGreen® reagents in an MJ-Chromo 4 thermocycler (Bio-Rad, Hercules, CA, USA). Changes in
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fluorescence during the PCR were calculated according to the manufacturer’s instructions. The
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amplification of glyceraldehyde phosphate dehydrogenase (GAPDH) mRNA was used as the
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internal control. The Real-Time PCR results were normalized as previously described.19 The
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gene-specific primers are listed in Table 1.
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Plasma 1H NMR metabonomics
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Before the measurements were made, the plasma samples (200 µL) were mixed with 300 µL of D2O
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and 100 µL of sodium trimethylsilyl propionate D2O solution (1 mg/mL), and then centrifuged
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(13,000 rpm at 4 °C for 10 min). The supernatant of each sample was transferred individually to a 5 6
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mm NMR tube.
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All NMR measurements were made on a Varian Inova 600 MHz spectrometer (Varian Inc.,
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Palo Alto, CA, USA) equipped with a triple resonance inverse probe. A total of 64 transients were
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collected into 32 K data points for each spectrum, with a spectral width of 8000 Hz and a recycle
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delay of 2 s. The plasma was analyzed using the Carr–Purcell–Meiboom–Gill (CPMG) pulse
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sequence
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longitudinal-eddy-current (BPP-LED) pulse sequence to detect high-molecular-weight metabolites.
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Two 1H NMR spectra were acquired for each sample. The CPMG spectra were acquired using the
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CPMG pulse sequence (-RD-90°-(τ-180°-τ)n-ACQ) with a total spin–spin relaxation delay (2nτ) of
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320 ms and a delay Te of 400 µs. Irradiation of the water resonance was used during recycle delay.
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The
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(-RD-90°-G1-180°-G1-90°-T-90°-G1-180°-G1-90°-τ-90°-ACQ) with a diffusion delay of 100 ms
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and a delay Te of 5 ms, with water peak irradiation during recycle delay. The free induction decay
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signal was zero filled. Line-broadening factors of 0.5 Hz (CPMG) and 3 Hz (BPP-LED) were added
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and then Fourier transformed to the 1H NMR spectra. The 1H NMR spectra were manually
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corrected for phase and baseline, with reference to the lactate doublet signal at 1.33 ppm. The
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CPMG and BPP-LED spectra were binned into 0.01 ppm and 0.04 ppm integral regions,
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respectively. To exclude the water signal, the region from 4.6–5.0 ppm was not included in the
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statistical analysis. The spectra were normalized to remove any concentration effects.
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Statistical analysis
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Bodyweight, feed intake, organ weight, plasma parameters, hepatic lipid content, and the relative
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expression of mRNAs are shown as mean values and their standard errors (SE). Student’s t test was
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used to compare differences (NFD vs. HFD group, HFD vs. HFD + 2 g/kg GSN group). Differences
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were considered significant at P < 0.05. The 1H NMR metabonomic data were examined with
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multivariate analysis using the SIMCA-P+ software package (version 11; Umetrics, Umeå, Sweden),
to
detect
BPP-LED
low-molecular-weight
spectra
were
metabolites
acquired
using
the
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BPP-LED
the
pulse
bipolar-pair
sequence
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with the binned integral regions used as input. The plasma metabonomic data were analyzed after
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centering was applied. A principal components analysis (PCA), an unsupervised pattern-recognition
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technique, was used to analyze the datasets. The datasets were then explored further with a
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supervised multivariate data analytical tool, orthogonal signal correction partial least squares
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(OSC-PLS). The quality of each model was judged by its R2 and Q2 values. Permutation testing was
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performed on each OSC-PLS model to assess its validity (with 20 permutations).
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Results
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Feed intake, bodyweight, and organ weight
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The different dietary groups did not differ in their bodyweights at the end of the study (Table 2).
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The hamsters in the HFD group had lower average daily feed intake and heart weights (P < 0.05),
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and higher liver, abdominal, and epididymal fat weights (P < 0.05) than the NFD group. Although
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the average daily feed intake and the liver and epididymal fat weights of the HFD and HFD + 2
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g/kg GSN groups did not differ significantly (P > 0.05), the hamsters fed the GSN diet had a
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significantly lower abdominal fat weight than those fed the HFD (P < 0.05).
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Plasma parameters and hepatic lipids
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Table 3 shows that the TC, TG, LDL–C, MDA, and FFA concentrations were all significantly
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higher in the plasma of the HFD group than in that of the NFD group (P < 0.05). The TC, TG,
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LDL–C, and MDA contents in the GSN-treated group were all significantly lower than those in the
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HFD group (P < 0.05). The plasma FFA levels in the GSN-treated group were 29% lower than
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those in the HFD group, although the difference was not significant.
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The hepatic lipid contents in the HFD group were higher than those in the NFD group (29.9 vs.
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12.2 µmol/g for TC, respectively, and 37.1 vs. 24.8 µmol/g for TG, respectively; P < 0.05). The
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HFD + 2 g/kg GSN group had significantly lower hepatic TC (20.9 µmol/g; P < 0.05) and 16.6%
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lower TG (31.0 µmol/g; P = 0.223) than the HFD group (Figure 1a). Oil-Red O staining showed
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that the hepatic lipid droplets in the HFD + 2 g/kg GSN group were smaller than those in the HFD 8
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group (Figure 1b).
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Hepatic mRNA expression
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The mRNA expression of the lipid metabolism genes in the liver is shown in Figure 2. Some genes
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related to LDL–C clearance, including those encoding the LDL-R and sterol regulatory
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element-binding protein 2 (SREBP-2), were downregulated in the HFD group compared with the
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NFD group (P < 0.05). LDL-R expression was significantly higher in the HFD + 2 g/kg GSN group
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than in the HFD group (P < 0.05). The expression of cholesterol 7 α-hydroxylase (CYP7A1) and
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sterol 27-hydroxylase (CYP27A1), was lower in the HFD group than in the NFD group (P < 0.05),
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and were unaffected by GSN treatment. The different diets significantly affected the expression of
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the estrogen receptor (ER). The expression of both ERα and ERβ was downregulated in the HFD
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group compared with the NFD group (P < 0.05), but was upregulated in the HFD + 2 g/kg GSN
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group compared with the HFD group (P < 0.05).
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The hepatic expression of ERK2, ERK5, and c-Jun N-terminal kinase (JNK), which are
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involved in the MAPK pathway, was downregulated in the HFD group compared with the NFD
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group (P < 0.05). However, there were no significant differences between the HFD and HFD + 2
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g/kg GSN groups in ERK1, ERK2, or ERK5 mRNA expression. The transcription of both p38 and
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JNK almost returned to normal in the HFD + 2 g/kg GSN group relative to that in the HFD group,
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but the change was not significant. The expression of the androgen receptor (AR) and PPARa were
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downregulated in the HFD group (P < 0.05), but was unaffected by the GSN treatment.
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Plasma 1H NMR metabonomics
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As indicated by the CPMG score plots shown in Figures 3a and c, the plasma metabolic profiles of
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the NFD and HFD groups were clearly separated in both the PCA and OSC-PLS analyses. However,
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the HFD and HFD + 2 g/kg GSN groups could not be differentiated with PCA (Figure 3a), but
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were separated with OSC-PLS (Figure 3c). In the OSC-PLS analysis, the NFD group was on the
192
right half of the ellipse and the HFD group was on the left half of the ellipse. The samples in the 9
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HFD + 2 g/kg GSN group were differentiated from those in the HFD group and were shifted closer
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to those in the NFD group. Validation of the OSC-PLS model with permutation testing resulted in a
195
Q2 intercept of (0.0, −0.27).
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Figure 4 presents the results of BPP-LED analyzed with both PCA and OSC-PLS. In the PCA,
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the HFD group was distributed between the lower (5/6) and upper (1/6) ellipse, the NFD group was
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in the left ellipse, and the HFD + 2 g/kg GSN group was distributed between the right (5/6) and left
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(1/6) ellipse (Figure 4a). The plasma BPP-LED results were also subjected to OSC-PLS, and three
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clusters were apparent: the NFD, HFD, and HFD + 2 g/kg GSN groups. This result indicates that
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metabolic changes occurred in the hamster plasma in response to the different dietary treatments
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(Figure 4c). The metabolic profiles of the HFD + 2 g/kg GSN group differed from those of the
203
HFD group, and were closer to those of the NFD group. The OSC-PLS model was validated with
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permutation testing, which had a Q2 intercept of (0.0, −0.27).
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Table 4 shows the changes in the plasma metabolite concentrations according to CPMG and
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BPP-LED. The concentrations of lactate and lipoprotein in the HFD group were lower and higher,
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respectively, than in the NFD group. Very-LDL (VLDL; lipid, CH3), LDL and VLDL (lipid, CH2),
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VLDL (lipid, CH2), lipid (CH2CH2CO), lipid (CH2C=C), lipid (CH2CO), and unsaturated fatty acids
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(UFA; =CH) levels were higher in the HFD group than in the NFD group. Most of the abnormal
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lipid metabolites, including VLDL (lipid, CH3), VLDL (lipid, CH2), lipid (CH2CH2CO), lipid
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(CH2C=C), lipid (CH2CO), phosphatidylcholine, and UFA (=CH), were reversed by GSN
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supplementation.
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Discussion
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Feed intake, bodyweight, organ weight, and plasma and hepatic lipid levels
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There has been little agreement on the effects of GSN on the feed intake and bodyweights of animal
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models. Some researchers have reported that GSN reduces feed intake or bodyweight, 20, 21 whereas
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others have shown no effect of dietary GSN on feed intake and bodyweight.22 These discrepancies 10
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may be attributable to differences in the animal models used, HFD compositions, GSN doses, or the
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durations of the experiments. It is unclear whether the changes in feed intake caused by GSN
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influence the experimental results, because this factor is not accounted for in many experiments.
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Feed intake was not affected by GSN in this study, so all the results were attributable to the
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biological effects of GSN rather than to different patterns of food intake. Although 2 g/kg of dietary
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GSN significantly reduced the liver weights of mice fed an HFD (18% fat),10 liver weight was not
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significantly affected by the same concentration of GSN in the present study, which could be
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explained by the differences in the HFD composition (21% fat in this study) and the animal species
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used. GSN has previously been shown to affect adipose deposition,21 and we also observed
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significantly less abdominal fat in the hamsters fed 2 g/kg GSN than in the HFD hamsters.
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Plasma and hepatic lipid levels reflect the lipid metabolism in animals. At the end of 6 weeks,
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the plasma and liver lipids in the HFD group were all significantly higher than those in the NFD
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group, suggesting the induction of hyperlipidemia. This hyperlipidemia was alleviated in the 2 g/kg
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GSN group, which had lower lipid levels in both the plasma and liver than did the HFD group.
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Previous studies have shown that GSN reduces the plasma and hepatic lipids in animal models,
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although the lowest observable levels have varied in different studies.10, 11, 23 One study found that 2
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g/kg of dietary GSN reduced plasma TC and liver TG in mice fed a HFD.21 Another study found
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that the serum and liver lipids of mice fed an HFD were not affected until GSN was increased to 2
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g/kg.10 In this study, the lipids in both the plasma and livers of the 2 g/kg GSN group were lower
237
than those in the HFD group, which is consistent with previous studies.10, 21 We also found that
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GSN exerted an antioxidant effect by reducing plasma MDA production, which is consistent with a
239
previous study in which lipid peroxidation was inhibited by GSN treatment.24 The biochemical
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parameters of the plasma and liver demonstrated that 2 g/kg dietary GSN improved the lipid
241
metabolism of hamsters with diet-induced hyperlipidemia by reducing lipid circulation and
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inhibiting lipid peroxidation. 11
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Hepatic mRNA expression
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Several mechanisms have been proposed to explain the antihyperlipidemic effects of GSN. One
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study reported that of the 97 transcripts altered in the HFD-fed group, the expression of 84 were
246
normalized with GSN supplementation.21 Genes that are involved in cholesterol metabolism are
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regulated by GSN,7 which was confirmed here by the observed increase in hepatic LDL receptor
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mRNA expression, indicating an improvement in LDL–C clearance. Isoflavones have previously
249
been reported to increase the mature nuclear form of SREBP-2 in vitro.25 However, hepatic
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SREBP-2 mRNA expression was not affected by GSN in the present study, consistent with another
251
study.11 CYP7A1 and CYP27A1 were upregulated in mice fed a soy protein diet plus 2%
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cholesterol.26 We observed no effect of GSN on CYP7A1 or CYP27A1 expression in this study,
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which warrants further investigation. Because GSN has a similar structure to estradiol, it is reported
254
to bind both ERα and ERβ,27 the two nuclear ERs upon which estradiol acts. The binding of
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estradiol to the ERs inhibits lipogenesis primarily by reducing the activity of lipoprotein lipase, an
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enzyme that regulates lipid uptake by adipocytes.6 Hepatic ERα and ERβ mRNA expression was
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upregulated in the GSN group, indicating that the ERs were activated by GSN ingestion. This may
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explain the primary mechanism underlying the hypolipidemic effects of GSN in this study, although
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more evidence is required to demonstrate the molecular mechanism of GSN activity on
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hyperlipidemia.
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Increasing evidence has established that GSN acts not only through the ERs, but also via other
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pathways. PPARα is important in the β-oxidation of fatty acids and is mainly expressed in tissues
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such as the liver, where lipoprotein metabolism is crucial. GSN binds directly to and activates
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PPARα in vitro, which may result in lipid catabolism and reduce blood lipids.6, 9 However, hepatic
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PPARα mRNA expression was not affected by GSN supplementation in vivo.10, 11 We also found no
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difference in hepatic PPARα mRNA expression in this study. Although GSN reportedly upregulates
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the expression of ERK1/2 in vitro,12 we saw no significant effect of GSN treatment on any gene 12
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involved in the liver MAPK pathway. Therefore, the actions of GSN in vivo and in vitro may not be
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consistent, so further studies of this discrepancy are required.
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Plasma 1H NMR metabonomics
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The aim of the 1H NMR metabonomic analysis was not to absolutely quantify the differences
272
between the groups, but to compare their relative differences. The distinct plasma metabolic profiles
273
of the HFD and NFD groups indicate that 1H NMR metabonomic data directly reflect the abnormal
274
metabolic profiles induced by HFD in hamsters, which recapitulates the results of previous studies.
275
28, 29
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this is the first study to use an 1H NMR metabonomic analysis of plasma metabolites profiles to
277
identify the biological effects of GSN in hamsters fed an HFD. The restoration of the plasma
278
metabolic profiles in the 2 g/kg GSN group indicates that GSN improved hamster hyperlipidemia.
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These results are consistent with the plasma and hepatic results that we obtained with traditional
280
approaches.
Although numerous studies have reported the beneficial effects of GSN on lipid metabolism,
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A multivariate statistical analysis of the NMR spectra of the plasma samples revealed
282
differences in the intensities of the different spectral regions, which could be ascribed to differences
283
in lipoproteins, lactate, VLDL, LDL, phosphatidylcholine, UFA, or other lipids among the three
284
groups, as listed in Table 4. Lactate, an important intermediate of glycometabolism, was lower in
285
the HFD group than in the NFD group, consistent with a previous study,29 and the change was
286
reversed in the GSN group. A reduction in blood lactate implies that glycolysis is inhibited and the
287
energy consumption pattern may shifted to lipid oxidation in response to hyperlipidemia.29
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Therefore, the reversion of lactate levels by GSN might contribute to the restoration of normal
289
energy consumption patterns. However, other NMR metabonomic studies have reported that blood
290
lactate is higher in hamsters fed an HFD. 30, 31 Therefore, further research is required. The BPP-LED
291
spectra were dominated by the signals from lipids, and GSN treatment restored the signal intensities
292
of VLDL, phosphorylcholine, UFA, and other lipids to those of the NFD group. VLDL and LDL, 13
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which are considered to be the major cholesterol-containing lipoproteins implicated in the
294
development of atherosclerosis, were restored to normal levels in the GSN group. LDL–C is mainly
295
cleared by the hepatic LDL-R pathway, in which ERs are critically involved.32 Therefore, in this
296
study, the reversion of VLDL and LDL in the GSN group observed with 1H NMR metabonomics
297
may be explained by the upregulated expression of hepatic ERα, ERβ, and the LDL receptor.
298
Polyunsaturated fatty acids, which have a high degree of unsaturation in the n-6 and n-3 series,
299
accelerate cell-mediated LDL peroxidation and therefore aggravate the atherosclerotic process.33
300
The restoration of the plasma lipid profiles after GSN supplementation suggests that hyperlipidemia
301
was globally ameliorated in these hamsters.
302
We have demonstrated that dietary 2 g/kg GSN ameliorated hyperlipidemia in hamsters by
303
reducing the weight of abdominal fat and the plasma and hepatic lipid contents. The improvement
304
in lipid metabolism was associated with the upregulated expression of the hepatic LDL receptor,
305
ERα, and ERβ mRNAs. 1H NMR and multivariate data analyses showed that both the abnormal
306
small and macromolecular metabolic plasma profiles in the HFD group of hamsters were shifted
307
towards normal profiles by GSN supplementation. Further research to absolutely quantify the
308
plasma lipid profiles in relation to GSN ingestion would be of great value.
309
Abbreviations used
310
GSN, genistein; NMR, nuclear magnetic resonance; NFD, normal fat diet; HFD, high fat diet;
311
HFD + 2 g/kg GSN, high fat diet + 2 g/kg genistein; ADFI, average daily feed intake; BW,
312
bodyweight; TC, total cholesterol; TG, triglyceride; HDL–C, high-density lipoprotein
313
(HDL)–cholesterol; LDL–C, low-density lipoprotein (LDL)–cholesterol; SOD, superoxide
314
dismutase; MDA, malondialdehyde; FFA, free fatty acids; GAPDH, glyceraldehyde phosphate
315
dehydrogenase; LDL-R, low-density lipoprotein (LDL)–receptor; SREBP-2, sterol regulatory
316
element-binding
317
27-hydroxylase; ER, estrogen receptor; ERK, extracellular regulated protein kinase; JNK, c-Jun
protein
2;
CYP7A1,
cholesterol
7
α-hydroxylase;
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CYP27A1,
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N-terminal kinase; AR, androgen receptor; PPARα, peroxisome proliferator-activated receptor α;
319
MAPK, mitogen-activated protein kinase; CPMG, Carr–Purcell–Meiboom–Gill; BPP-LED,
320
bipolar-pair longitudinal-eddy current; PCA, principal components analysis; OSC-PLS, orthogonal
321
signal correction partial least squares.
322
Acknowledgment
323
We thank Bo Sun for her technical support during sample analysis.
324
Funding
325
This study was financially supported by the Agricultural Science and Technology Innovation
326
Program (ASTIP-IAS12) and the Special Basic Research Fund for Central Public Research
327
Institutes (2015ywf-zd-28).
328
Conflicts of interest
329
None.
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References
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Table 1 Oligonucleotide primers Primer
Sequence (5′-3′)
GAPDH-F
TGGCAAGTTCAAAGGCACAG
GAPDH-R
AACATACTCGGCGCCAGCATC
LDL-R-F
CTCCACTCTATCTCCAGCATTG
LDL-R-R
TTTCAGCCACCAAATTAACATC
ERα-F
ACCAAAGCCTCGGGAATG
ERα-R
GCGGCGTTGAACTCGTAG
ERβ-F
GGTGAAGGAGCTGCTGCTGA
ERβ-R
GGCTGGGCCAAGAAAATCC
SREBP-2-F
GGCTGGTTTGACTGGATGG
SREBP-2-R
CGGATAAGCAGGTTTGTAGGTT
CYP7A1-F
AGCAACTAAACAACCTGCCAGTACTA
CYP7A1-R
GTCCGGATATTCAAGGATGCA
CYP27A1-F
GGAGCAGTGGAAGGATCACC
CYP27A1-R
TGTTCAAAGCCTGGCGC
ERK1-F
TTGTATCATCAACATGAAGGCTCG
ERK1-R
TGAAGGTCAACATCCGGTCC
ERK2-F
GCCTTGCCCGTGTTGC
ERK2-R
AATACCCAGGATGTGATTCAGC
ERK5-F
AGAGTCGCCTGATGTCAACCT
ERK5-R
CGATGTCAGCGGGGTTCA
p38-F
CGAAAATGTGATTGGTCT
p38-R
CACGATGTTGTTCAGGTC
JNK-F
TCCAGCACCCATACATCAACG
JNK-R
CGCTCCTCCAAGTCCATTACC
AR-F
TCCGCTGGCTCTGACCG
AR-R
CAGCTGCACTCCCTCCATG
PPARα-F
CCTGTCTGTTGGGATGTCAC
PPARα-R
AGGTAGGCCTCGTGGATTCT
GAPDH, glyceraldehyde phosphate dehydrogenase; LDL-R, Low-density-lipoprotein receptor; ER, estrogen receptor; SREBP-2, sterol regulatory element-binding protein 2; CYP7A1, cholesterol 7 α-hydroxylase; CYP27A1, sterol 27-hydroxylase; ERK, extracellular regulated protein kinase; JNK, c-Jun N-terminal kinase; AR, androgen receptor; PPARα, peroxisome proliferator-activated receptor-alpha. 20
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Table 2 Effects of 2 g/kg dietary genistein on bodyweight, feed intake, organ weight, and visceral fat weight in hamsters fed a high fat diet NFD Measures
HFD
HFD + 2 g/kg GSN
†
Mean
SE
Mean
SE
Mean
SE
Initial BW (g)
135
1.76
135
1.90
134
1.90
Final BW (g)
149
2.67
154
2.54
156
1.74
ADFI (g/d)
6.74**
0.01
5.69
0.21
5.81
0.10
ADFI and BW
Organ and visceral fat weight (g/100 g BW) Heart weight
0.32**
0.01
0.28
0.01
0.30
0.01
Liver weight
2.94***
0.12
4.54
0.15
4.32
0.11
Kidney weight
0.64
0.02
0.68
0.02
0.67
0.02
Abdominal fat
1.78*
0.17
2.82
0.34
2.05*
0.12
Epididymal fat
2.84*
0.16
3.45
0.19
3.19
0.13
NFD, normal fat diet; HFD, high fat diet; HFD + 2 g/kg GSN, high fat diet + 2 g/kg genistein; ADFI, average daily feed intake; BW, bodyweight. Mean values were significantly different from those of the HFD group: *P < 0.05, **P < 0.01, ***P < 0.001. †
Fifteen replicates were used for BW, three for ADFI, and six for organ weight and visceral fat weight per group.
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Table 3 Effects of 2 g/kg dietary genistein on plasma biochemical parameters in hamsters fed a high fat diet NFD
HFD
HFD + 2 g/kg GSN
†
Indices
Mean
SE
Mean
SE
Mean
SE
TC (mmol/L)
4.20***
0.16
12.4
0.37
9.11***
0.40
TG (mmol/L)
1.56***
0.17
14.7
1.18
8.07**
1.08
HDL-C (mmol/L)
0.26
0.01
0.26
0.01
0.29
0.02
LDL-C (mmol/L)
0.94***
0.10
4.48
0.27
2.69***
0.20
38.8
6.14
30.3
3.71
32.4
5.64
MDA (µmol/L)
7.94**
0.95
14.0
1.15
7.77*
1.64
FFA (µmol/L)
2767***
678
9337
843
6598
1255
SOD (U/mL)
NFD, normal fat diet; HFD, high fat diet; HFD + 2 g/kg GSN, high fat diet + 2 g/kg genistein; TC, total cholesterol; TG, triglycerides; HDL–C, high-density lipoprotein–cholesterol; LDL–C, low-density lipoprotein–cholesterol; SOD, superoxide dismutase; MDA, malondialdehyde; FFA, free fatty acid. Mean values were significantly different from those of the HFD group: *P < 0.05, **P < 0.01, ***P < 0.001. †
Six replicates were used per group.
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Table 4 Metabolic differences in plasma among the normal fat diet, high fat diet, and high fat diet + 2 g/kg genistein groups† NMR spectral region (ppm)
Assignment
HFD
HFD + 2 g/kg GSN
0.84–0.90
Lipoprotein
↑
↓
1.26–1.30
Lipoprotein
↑
↓
↓
↑
CPMG Spectra
1.32–1.34 Lactate 4.09–4.10 BPP-LED Spectra 0.82, 0.86
VLDL/LDL (lipid, CH3)
↓
↑
0.90
VLDL (lipid, CH3)
↑
↓
1.22
LDL (lipid, CH2)
↓
↑
1.26
LDL/VLDL (lipid, CH2)
↑
↑
1.30, 1.34
VLDL (lipid, CH2)
↑
↓
1.58
Lipid (CH2CH2CO)
↑
↓
2.02, 2.06
Lipid (CH2C=C)
↑
↓
2.22, 2.26
Lipid (CH2CO)
↑
↓
3.22
PCho
↓
↑
UFA (=CH)
↑
↓
NFD
HFD
5.3, 5.34
NFD, normal fat diet; HFD, high fat diet; HFD + 2 g/kg GSN, high fat diet + 2 g/kg genistein; VLDL, very low-density lipoprotein; LDL, low-density lipoprotein; Pcho, phosphatidylcholine; UFA, unsaturated fatty acids; CPMG, Carr–Purcell–Meiboom–Gill pulse sequence; BPP-LED, bipolar-pair longitudinal-eddy current. †
The symbols ↑ and ↓ indicate higher and lower concentrations in groups listed in the top compared with groups at the
bottom of the table.
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Figure Captions Figure 1 (a) Concentrations of total cholesterol (TC) and triglycerides (TG) in the liver. Values are presented as means (n = 6) and standard errors. Mean values were significantly different from those of the HFD group at *P < 0.05, ***P < 0.001. (b) Histology (Oil-Red O staining, ×400) of a representative liver section from each group. NFD, normal fat diet; HFD, high fat diet; HFD + 2 g/kg GSN, high fat diet + 2 g/kg genistein. Figure 2 Relative mRNA expression of genes related to lipid metabolism in the livers of the normal fat diet (NFD), high fat diet (HFD), and high fat diet + 2 g/kg genistein (HFD + 2 g/kg GSN) groups. The genes analyzed encoded the low-density lipoprotein receptor (LDL-R), sterol regulatory element-binding
protein
2
(SREBP-2),
cholesterol
7 α-hydroxylase
(CYP7A1),
sterol
27-hydroxylase (CYP27A1), estrogen receptor (ER), extracellular regulated protein kinase (ERK), c-Jun N-terminal kinase (JNK), androgen receptor (AR), and peroxisome proliferator-activated receptor α (PPARα). GAPDH mRNA was amplified as the internal control. Mean values were significantly different from those of the HFD group at *P < 0.05, **P < 0.01, ***P < 0.001. Figure 3 Principal components analysis (PCA; a, b; R2X = 0.945, Q2 = 0.905) and orthogonal signal correction partial least squares (OSC-PLS; c, d; R2X = 0.891, R2Y = 0.728, Q2 = 0.62) scores plots and loading plots derived from the 1H CPMG NMR spectra of the plasma metabolic profiles of the normal fat diet (▲), high fat diet (□), and high fat diet + 2 g/kg GSN (◆) groups. Figure 4 Principal components analysis (PCA; a, b; R2X = 0.983, Q2 = 0.921) and orthogonal signal correction partial least squares (OSC-PLS; c, d; R2X = 0.99, R2Y = 0.724, Q2 = 0.7) scores plots and loading plots derived from the 1H BPP-LED NMR spectra of the plasma metabolic profiles of the normal fat diet (▲), high fat diet (□), and high fat diet + 2 g/kg genistein (◆) groups. 24
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(a)
(b)
NFD
HFD
HFD + 2 g/kg GSN
Figure 1.
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Figure 2.
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(a)
(b)
(c)
(d)
Figure 3.
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(a)
(b)
(c)
(d)
Figure 4.
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TOC Graphic(11.69*3.99cm )
Normal fat diet
Feed intake, organ weight
Plasma
High fat diet
Lipids contents Metabolic profiles
High fat diet +2 g/kg genistein
Liver
Lipids contents mRNA expression
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