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Protective Effect of Compound Whole-Grain on High Fat and Cholesterol Diet-Induced Obesity and Lipid Accumulation in Rats

PJZ_51_5_1647-1654

 

 

Protective Effect of Compound Whole-Grain on High Fat and Cholesterol Diet-Induced Obesity and Lipid Accumulation in Rats

Hong Zhang1, Shu-Fen Han2, Jing Wang1, Shao-Kang Wang1, Gui-Ju Sun1 and Cheng-Kai Zhai1, *

1Department of Food and Nutrition, School of Public Health, Southeast University, Nanjing 210009, PR China

2Department of Food and Nutrition, School of Public Health, Soochow University, Suzhou 215123, PR China

ABSTRACT

To evaluate the effects of compound whole grains on high fat and cholesterol diet-induced obesity and lipid accumulation in rats and the possible molecular mechanisms, 40 male Sprague-Dawley rats were randomly assigned to four different diets, including reference chow diet (RCD), high fat and cholesterol diet (HFCD), city diet (CD) and compound whole-grain diet (CWD). Serum lipid profiles and glucose level were examined after 8 weeks. The molecular mechanisms underlined the effects of CWD on lipid metabolism were investigated by western blot and real-time PCR. CD exhibited fat accumulation increasing, increase in serum triacylglycerol, total cholesterol, glucose and the decrease in high density lipoprotein cholesterol. However, CWD can improve blood lipid and blood sugar levels, and at the same time improve obesity and fat accumulation in rats. CWD significantly augmented the relative level of peroxisome proliferators-activated receptor γ (PPARγ) and suppressed the sterol regulatory element-binding protein 1c (SREBP-1c) protein expression in rats’ tissues. Compound whole-grain ameliorates diet-induced obesity and hyperlipidemia by enhancing PPARγ and reducing SREBP-1c in rats.


Article Information

Received 16 April 2019

Revised 12 May 2019

Accepted 15 May 2019

Available online 12 June 2019

Authors’ Contribution

C-KZ designed the study. HZ and S-FH collected the data and drafted the manuscript. JW, S-KW analysed the results. G-JS revised the manuscript.

Key words

Compound whole-grain, Lipid profiles, Lipogenic genes, Rats

DOI: http://dx.doi.org/10.17582/journal.pjz/2019.51.5.1647.1654

* Corresponding author: 101011384@seu.edu.cn

0030-9923/2019/0005-1647 $ 9.00/0

Copyright 2019 Zoological Society of Pakistan

Abbrecivations

PPARγ, peroxisome proliferators-activated receptor-gamma; FAS, fatty acid synthase; SREBP-1c, sterol regulatory element binding protein-1c; ACC, Acetyl-CoA carboxylase; RCD, reference chow diet; HFD, high-fat and cholesterol diet; CD, city diet; CWD, compound whole-grain diet; TC, total cholesterol; TG, triacylglycerol; HDL-C, high density lipoprotein cholesterol; HRP, horseradish peroxidase-conjugated.



Introductions

The prevalence of chronic metabolic diseases such as hypertension, diabetes, natherosclerosis and obesity has increased dramatically all over the world (Karra and Batterham, 2010). Evidence suggests that nutritional imbalances and excesses, especially increased consumption of refined foods related to sedentary lifestyles, are key factors contributing to the epidemic (Boutayeb, 2006; Aune et al., 2013). The intake of high refined carbohydrate and high saturated fat/cholesterol food is a common dietary pattern of urban residents in China, which leads to the increasing prevalence of hyperlipidemia and obesity in China (Yang et al., 2008). Previous studies have showed that improving of food type and dietary structure can significantly improve body weight, lipid levels and reduce the risk of developing metabolic diseases (Williams et al., 2008). Processed wheat flour and white rice are the most common cereals eaten by human beings. Studies have confirmed that increasing dietary fiber and coarse grains intake by adjusting dietary carbohydrate sources can significantly improve body weight and glucose metabolism (Ye et al., 2012). Therefore, the control of dietary cereals is beneficial to improve nutrition-related metabolic syndrome. Including new cereals in the diet may be a feasible and effective strategy to achieve this goal (Frølich et al., 2013; Ross, 2015). Incorporating new grains or combinations of several whole grains as a staple food source in a high-fat may be an effective solution to this problem.

Compound whole grain is a kind of reconstituted whole grain product. Its original components are reconstituted according to the relative proportion of natural grains that are often eaten (Okarter and Liu, 2010). Compound whole-grain consists of intact wheat, sorghum, corn, millet and soybean including bran and germ according to preliminary study and traditional dietary habit of Chinese. The intact whole grain products contain a diversity of known phytochemicals, such as phytoestrogens, phenols and antioxidant, along with dietary fiber with a potential to significantly improve human health (Liu, 2007; Okarter and Liu, 2010). Previous studies have demonstrated that dietary intervention of compound whole-grain significantly ameliorated body weight, lipid and glucose metabolism in Chinese population (Jiang et al., 2007; Zhang et al., 2010). But up to now, the mechanism of compound whole grains improving fat and glucose metabolism is not clear. The purpose of this study was to evaluate how compound whole grains affect high fat and cholesterol diet-induced obesity and lipid accumulation in rats and related molecular mechanisms. By observing the regulation of compound whole grains on the expression of key proteins (peroxisome proliferators-activated receptor γ (PPARγ) and sterol regulatory element binding protein-1c (SREBP-1c) (Han et al., 2017; Knebel et al., 2012) and genes (fatty acid synthase (FAS) and Acetyl-CoA carboxylase (ACC) (Horton, 2002; Foufelle and Ferre, 2002)) revolve in fat and cholesterol metabolism to reveals the possible mechanism of compound whole grains affecting fat and cholesterol metabolism.

 

Materials and Methods

Animals and experimental diets

40 ten-week-old male Sprague-Dawley rats (SLAC Laboratory Animal Company, Shanghai, China) weighing between 200 and 220 g were housed in a single stainless-steel cage for 12 hours in a light-dark cycle at constant humidity (60%) and temperature (21±2°C). Distilled water was provided sufficiently. The Animal Welfare Committee of Southeast University (Nanjing, China) and Chinese Zoological Society approved the experimental design. All investigation procedures conformed to the principles outlined in the Chinese Laboratory Animal Nursing and Use Regulations (Han et al., 2012).

Standard diet was fed with all rats were for one week, and then rats was randomly assigned to the following four groups (n = 10 for each group): reference chow diet (RCD) as control group, high-fat and cholesterol diet (HFCD) as model group, city diet (CD) group and compound whole-grain diet (CWD) group. Table I lists the specific compositions of the four experimental diets. All dietary formulations meet the minimum requirements of the AIN-76 dietary standard. The CD was based on the dietary pattern of Chinese urban residents, with high fat, cholesterol accompanied by refined carbohydrates (Han et al., 2012). For CWD, the main dietary carbohydrate source was compound whole wheat which replaced the starch content of processed rice and wheat of CD, and the other ingredients were the same as CD. Compound whole-grain was mixed with wheat, corn, sorghum, millet and soybean including bran and germ according to preliminary study and Chinese traditional dietary customs. The grains and soybeans were ground into a powder and passed through a 1 mm sieve, mixed with other ingredients, and then subjected to irradiation sterilization to prepare an experimental feed. All rats were given an equal amount of diet daily throughout the experiment. Ensure that all rats consume equal feed rations per day during the experiment by using a feeding strategy (Brandsch et al., 2006). The weight of rats was recorded periodically every week.

 

Table I.- Composition of the experimental diets.

Diet ingredients (g/kg diet)

HFD

RCD

CD a

CWD

Casein

215

230

215

215

Maize starch

258

295

-

-

Sucrose

265

310

-

-

Wheat starch

-

-

261.5

-

White rice

-

-

261.5

-

Compound whole-grain b

-

-

-

523

Lard

100

-

100

100

Cellulose

50

50

50

50

Bean oil

-

70

-

-

Egg yolk powder c

50

-

50

50

cholesterol

15

-

15

15

Bile salt

2

-

2

2

AIN-76 mineral mix

30

30

30

30

AIN-76 vitamin mix

10

10

10

10

DL-methionine

3

3

3

3

Choline chloride

2

2

2

2

Total protein

233.9

233.5

280.2

301.4

Total carbohydrate

537

611

448

421.4

Total fat

127.8

70.3

133.6

146.9

Total cholesterol

17.5

0

17.5

17.5

Total dietary fibre

50.3

50.3

56

120.6

Total energy (kJ/g)

16.8

15.9

16.2

17.2

a Patterned after the composition of the diet of city residents of modern China

b Compound whole-grain is a reconstituted whole grain product, which is mixed with wheat, corn, sorghum, millet and soybean including bran and germ according to Chinese traditional dietary customs.

c Contains 5% (w/w) cholesterol

RCD, reference chow diet; HFD, high-fat and cholesterol diet; CD, city diet; CWD, compound whole-grain diet.

 

Tissue sample management

After 12 hours of fasting at the 8th week, all animals were sacrificed by anesthesia. Blood samples from rats were collected in test tubes and then centrifuged to separate the serum. The rat tissues of interest were removed and weighted. A portion of the liver was immediately excised and frozen to -20°C and then stored in RNAlater solution (Quigen, USA) until used for total RNA extraction. Before being stored at -80°C for western bolt analysis, another part of liver and epididymal adipose tissues were placed in cryogenic storage containers and flash-frozen in liquid nitrogen.

Serum analysis

At the beginning of the experiment, the fourth weekend and the eighth weekend, after the rats were fasted for 12 hours, blood samples were taken from the tail vein. Using the commercial enzyme kits (Nanjing Jianchen Institute of Bioengineering, China) to determine the concentrations of total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C) and glucose in rat serum.

Western blot analysis

Analyzing protein expression of PPARγ and SREBP-1c of liver and epididymal adipose tissues by using the western blot technique. The Bradford kit (Keygen Biotechnology Company, China) was used to determine protein concentration. The same amount of protein was loaded into 10% SDS polyacrylamide gel and then transferred to the PVDF membrane (MilLipole, USA) at a constant current of 200 mA for 60 minutes. The non-specific binding site was blocked by incubation containing 5% skimmed dry milk in TBST (Tris-HCl 10 mmol/L, NaCl 50 mmol/L and Tween-20 0.05 %, pH 7.6) for 1 hour at room temperature. The blots were incubated overnight with anti-SREBP-1C and anti-PPAR-gamma (Santa Cruz, USA) antibodies under 4oC conditions. Antigen-antibody complexes were washed with horseradish peroxidase coupled anti-goat IgG antibody at room temperature and observed for 2 hours (cell signal, USA). Chemiluminescence ECL detection system was used to detect antibody reactivity (Keygen Biotechnology Company, China). Monoclonal mouse antibodies against β-actin (cell signal, USA) were used to as control protein loading. At least three impressions were performed to confirm the repeatability of these results. Band intensity was measured using Image Tool 3.0 software and normalized by β-actin measurement.

Quantitative real-time PCR

Trizol solution (Invitrogen, USA) was used to isolate total RNA. Reverse transcription of 1 ug total RNA into cDNA using M-MuLV reverse transcriptase (Fermentas, USA). Using SYBR Green chemical real time PCR to quantify the relative gene abundance in 20μL PCR reaction system containing 1μL cDNA, 8μL SYBR Green Master Mix (Toyobo, Japan), 2μL Plus solution with 1.2μL sense and antisense primers (10μM). The PCR parameters as follows: initial at 50 °C for 2 min, 5 min denaturation, then 40 cycles, denaturation for 15 seconds at 95 °C and denaturation for 1 min at 60 °C were performed. Real-time PCR analysis was performed by an iCycler Real-Time Detection System (Applied Biosystems 7300). The gene expression was calculated by the 2-△△Ct values and standard curve method (Livak and Schmittgen, 2001). The reference control was GAPDH. To evaluated the specificity of the amplified PCR products, melting curve analysis was performed (Han et al., 2012).

The primers were designed by Premier 5.0 software, and then primers were synthesized by Sangon Biotech (Shanghai, China). Primers sequences were as follows:

GAPDH, 5’-AGTGCCAGCCTCGTCTCATAG-3’(forward),

5’-CCTTGACTGTGCCGTTGAACT-3’(reverse)

FAS, 5’-AGCCCCTCAAGTGCACAGTG-3’(forward),

5’-TGCCAATGTGTTTTCCCTGA-3’(reverse).

ACC, 5’-GGACCACTGCATGGAATGTTAA-3’(forward)

5’-TGAGTGACTGCC GAAACATCTC-3’(reverse).

Statistical methods

The data presented are in the form of mean along with standard deviation. One-way ANOVA was used to evaluate the significance of the differences among groups, and then Tukey post-test was performed. All statistical tests were 5% significant. SPSS software was used for statistical analysis (Version 15.0, SPSS, Inc., Chicago, IL, USA).

 

Results

Body weight and organ/body weight ratio

The changes in mean body weight and organ/body weight ratios in each group is listed in Table II. There was no significant difference in mean body weight among the four groups before the experiment (P > 0.05).

All groups showed a slow increase in weight during the 8-wk experimental period. At the fourth week of the experiment, rats fed HFCD weighted heavier than control group fed RCD (424.32±15.13 vs. 409.12±11.82 g, P<0.05).

At the end of the experiment, the weight gain of CWD-fed rats was significantly lower than that of CD-fed rats (P<0.05) (Table II). The final average body weight of CD group was the same as that of HFCD group, while that of CWD group was comparable with that of RCD group. In addition, compared with CD and HFCD, CWD reduced the proportion of liver weight to body weight and visceral fat index. There was no significant difference in the ratio of kidney weight/body weight, heart weight/body weight, spleen weight /body weight among the four groups.

Serum lipid profile and glucose

Before the experiment, serum concentrations of TG (Fig. 1A), TC (Fig. 1B), HDL-C (Fig. 1C) and glucose (Fig. 1D) were similar in the four groups of rats. At the 4th weekend of the experiment, HFCD-fed rats alone showed significant elevations in serum TC level, and reduction in serum HDL-C concentration compared to rats fed RCD (P<0.05). But there was no difference in the level of serum TG and glucose in the two groups. At the end of the experiment, the levels of blood lipid and glucose in CD-fed rats were similar to those in HFCD-fed rats (P>0.05). However, compared with CD and HFCD, CWD significantly lowered serum TC, TG and glucose concentration, but increased serum HDL-C concentration(P<0.05).

Protein expression of SREBP-1c and PPARγ

The regulation of CWD on SREBP-1c and PPARγ protein expression in rat’s liver and epididymal adipose by western blot is shown in Figure 2. The expression of

 

Table II.- Effect of compound whole-grain on body weight and organ/body weight ratios in rats fed high-fat/cholesterol diet for 8 weeks*.

HFD

RCD

CD

CWD

Initial body weight (g)

265.73 ± 11.61

265.58 ± 10.27

266.54 ± 11.83

263.43 ± 18.42

Final body weight (g)

506.27 ± 16.14b

471.29 ± 17.70a

496.87 ± 20.55b

462.19 ± 23.20a

Liver index

(g/g body weight)

0.0448 ± 0.0042b

0.0256 ± 0.0029a

0.0427 ± 0.0050b

0.0328 ± 0.0028a

Kidney index

(g/g body weight)

0.0068 ± 0.0008

0.0068 ± 0.0006

0.0060 ± 0.0014

0.0063 ± 0.0003

Heart index

(g/g body weight)

0.0031 ± 0.0004

0.0031 ± 0.0002

0.0031 ± 0.0003

0.0030 ± 0.0003

Spleen index

(g/g body weight)

0.0024 ± 0.0005

0.0021 ± 0.0003

0.0021 ± 0.0004

0.0021 ± 0.0004

Fat mass

(g/g body weight)

0.0306 ± 0.0063b

0.0227 ± 0.0042a

0.0302 ± 0.0072b

0.0209 ± 0.0070a

*Each value represents the means with their standard deviations for ten animals. Different superscript letters in each line indicate significant differences among groups (P < 0.05) (n = 10 for each group). For abbreviations, see Table I.


 

SREBP-1c and PPARγ in liver and epididymal adipose tissue of rats in HFCD group was significantly upregulated than that in RCD group (P<0.05). However, compared with CD, CWD downregulated SREBP-1C protein expression (P<0.05). The relative level of SREBP-1c induced by CD was similar to that induced by HFD (P>0.05). The expression of PPARγ in liver and epididymis adipose tissue in CWD group was significantly higher than that in HFCD and CD groups (P<0.05).


 

 

Gene expression of FAS and ACC

The levels of ACC and FAS that are two key factors in adipogenesis were significantly up-regulated in the liver of HFCD and CD rats (P<0.05), the data was showed in Fig. 3. However, compared with CD and HFCD groups, the gene expression of ACC and FAS in CWD group were significantly lower (P<0.05).

 

Discussion

Whole grain products can prevent the development of chronic diseases has been confirmed by more and more studies (Giacco et al., 2011; Foerster et al., 2014; Seal and Brownlee, 2015; Aune et al., 2016). At the same time, our daily life style, especially the unbalanced energy-rich diet lacking in fibers and protective compounds (such as micronutrients and phytochemicals), is one of the reasons for the high incidence of chronic metabolic diseases. To data, such studies and intervention experiments have mainly focused on isolated free bioactive compounds in vitro studies or in animals. However, it is generally agreed that the health effects of whole grains come from the synergistic effects of active substances in whole grains, which mainly come from the bran and germ parts of grains (Liu, 2007). Based on the hypothesis, we examined the protective effects of compound whole-grain including bran and germ in a rat model of high fat and cholesterol feed-induced obesity and hyperlipidaemia. Our results indicate that CWD play a beneficial role in lipid metabolism by preventing the elevation of serum TG and TC and the decrease of HDL-C levels in rats even fed with high fat and cholesterol diet. CWD also decreased the fasting glucose level. In addition, CWD also inhibited excessive weight gain and visceral fat content caused by high fat and cholesterol diets. However, CD used in this study can lead to obesity and hyperlipidemia, which are manifested by increased obesity index and serum levels of TG and TC. This is consistent with previous study (Zhang, 2009). The composition of CD was based on the dietary habits of modern Chinese urban residents, rich in saturated fat and cholesterol. The sources of dietary carbohydrates are processed white rice and wheat starch, which lose most of the health compounds with removal of bran and germ during grinding and processing (EUFIC, 2015). For example, processed wheat starch is loss of about 79% vitamin E and 58% fiber (Truswell, 2002). The processed white rice and wheat starch digestibility is higher than whole grains, resulting in increased compensatory blood sugar overload and plasma insulin concentration (Chatenoud et al., 1999). Therefore, they cannot provide a rich balance of nutrients roughly the same as those contained in the seeds of original cereals.

The observed health benefits of CWD might be accounted for the synergistic effects of the package of nutrients available from compound whole grain, rather than the individual components. Compound whole-grain has richer dietary fiber (13.7g/100g) than processed white rice (0.4g/100g) and wheat starch (2.5g/100g), and its glycemic index (GI = 52.6) is very low (Jiang et al., 2007). Epidemiological studies have shown that high dietary fiber diet and low GI food can not only improve blood glucose control, but also benefit weight management (Kendall et al., 2010). Supplementation involving dietary fiber can result in health-promoting foods, lower food energy density and the postprandial glucose response that is thought to increase satiety, as well as a reduction in cholesterol and fat (Elleuch et al., 2011). However, the benefits of whole grains lie not only in dietary fiber, but also in the synergistic effects of other bioactive compounds and micronutrients in whole grains. Except for dietary fiber, its bran and germ were found to contain other beneficial bioactive compounds including micronutrients, antioxidant properties and phytochemicals (Liu, 2007; Okarter and Liu, 2010) are recognized as sources of several physiologically activity components and health promoters (Hirawan et al., 2010). The influence of compound whole-grain consumption on obesity and possibly other metabolic diseases may well depend on the presence or absence of many constituents and their interactions. Study has shown that a combination of phytochemicals in food has better health benefits than single phytochemicals by combining additions and/or synergistic effects (Eberhardt, 2000). Different kinds of cereals have different compositions of bioactive compounds, so they have different health effects (Adom and Liu, 2002). Among these compositions, millet and sorghum are rich in phenolic compounds, which strongly correlates with high antioxidant activity, such as reducing oxidative stress and lipid peroxidation (Dykes and Rooney, 2006). As an important part of a healthy diet, soy contains low or no starch, about 20% oil and 40% high quality protein. In addition, it contains several important biologically active compounds, including laurel, trypsin inhibitors, isoflavones and saponins. In place of the mixture of bioactive components present in the compound whole-grain, it is possible that more than one mechanism underlying this reduction in lipid accumulation is involved. However, the component analysis of phytochemicals was only from relevant literature review, the precise compositions of compound whole-grain should be investigated in further studies.

In liver and adipose tissue, a serious of fatty acids stimulate PPARγ, which is required for differentiation of preadipocytes to mature adipocytes and plays a key role in lipid metabolism. Studies showed that high-fat diet could result in liver steatosis through up-regulation of PPARγ levels (Okumura Kohgo, 2006). In the present study, we also found that the protein expression of PPARγ is upregulated in the liver and epididymal adipose tissue of rats fed with high fat and cholesterol diet. Interestingly, the protein expression of PPARγ in CWD group was significantly higher than that in CD group and HFCD group. Whole-grain foods contained a large proportion of n-3 polyunsaturated fatty acids and their metabolites, which have been identified as natural ligands of the nuclear receptor PPARγ (Lehrke and Lazar, 2005). Hence, we deduced that compound whole-grain activated PPARγ and then resulted in changes a series gene related to lipid metabolism to accelerate fatty acid β-oxidation and lipid clearance. The activation of PPARγ was also effective in improving low-grade inflammation and insulin signal transduction.

Obesity is due to the imbalance between adipose synthesis (adipogenesis) and lipolysis (adipolysis), both of which are regulated by the molecular level and activity involved in lipid metabolism. Cholesterol and fatty acid biosynthesis are regulated by the family of membrane-bound transcription factors (SREBP) in human cells (Foufelle and Ferre, 2002). SREBP-1c can be regulated by nutritional environment. Studies have demonstrated that SREBP-1c mediates the transcriptional effects of gene-coding enzymes related to lipogenesis, glycolysis and gluconeogenesis (Foufelle and Ferre, 2002). At the transcriptional level, SREBP-1c regulates the expression of several lipase-producing enzymes, such as FAS and ACC (Sato, 2010). Inhibiting FAS and ACC can reduce body fat accumulation (Strable and Ntambi, 2010; Okamoto, 2011). According to our findings, CD increased SREBP-1c protein expression of, while CWD decreased the relative level of SREBP-1c protein in liver and epididymal adipose tissue of rats fed high fat and cholesterol diet. Therefore, in the CWD group, the mRNA level of lipid-producing enzymes including FAS and ACC was also significantly decreased. Overall, our results suggest that compound whole grain inhibits fat production by downregulating SREBP-1c expression, which leads to a decrease in fat and fat accumulation. These findings provide important insights and indicate that the potential of compound whole-grain on preventing obesity and hyperlipidaemia in rats. Furthermore, our results provide a basis for promoting the development and utilization of whole grain agricultural products to prevent and treat metabolic diseases.

 

Conclusion

In conclusion, the present study provides new information about molecular mechanism of action that could be involved in the protective effects of compound whole-grain to revert and/or improve obesity and lipid accumulation induced by high fat and cholesterol diet in rats. The possible mechanism was that compound whole-grain can activate the nuclear transcription factors PPARγ and down-regulat the expression of SREBP-1c involved in lipid mechanism. It is thought that the synergistic action of the package of nutrients available from compound whole-grain may be greater than the sum of the individual components. Future studies should investigate the effectiveness of compound whole-grain in attenuating undesirable metabolic diseases associated eastern-type diets.

 

Acknowledgements

The National Natural Science Foundation of China (NSFC 81673162 and NSFC 81372986) funded this study.

 

Conflicts of interest

There is no conflict of interest that needs to be disclosed.

 

References

Adom, K., Liu, K. and H, K., 2002. Antioxidant activity of grains. J. Agric. Fd. Chem., 50: 6182-6187. https://doi.org/10.1021/jf0205099

Aune, D., Norat, T., Romundstad, P. and Vatten, J., 2013. Whole grain and refined grain consumption and the risk of type 2 diabetes: a systematic review and dose–response meta-analysis of cohort studies. Eur. J. Epidemiol., 28: 845-858. https://doi.org/10.1007/s10654-013-9852-5

Aune, D., Keum, N., Giovannucci, E., Fadnes, L.T., Boffetta, P., Greenwood, D.C. and Norat, T., 2016. Whole grain consumption and risk of cardiovascular disease, cancer, and all cause and cause specific mortality: systematic review and dose-response meta-analysis of prospective studies. Br. med. J., 353: i2716. https://doi.org/10.1136/bmj.i2716

Boutayeb, A., 2006. The double burden of communicable and non-communicable diseases in developing countries. Trans. R. Soc. Trop. Med. Hyg.,  100: 191-199. https://doi.org/10.1016/j.trstmh.2005.07.021 

Brandsch, C., Shukla, A., Hirche, F., Stangl, G.I. and Eder, K., 2006. Effect of proteins from beef, pork, and turkey meat on plasma and liver lipids of rats compared with casein and soy protein. Nuture, 22: 1162-1170. https://doi.org/10.1016/j.nut.2006.06.009

Chatenoud, L., La Vecchia, C., Franceschi, S., Tavani, A.D.R., Jacobs Jr, M., Parpinel, T. and Negri, E.,  1999. Refined-cereal intake and risk of selected cancers in Italy. Am. J. clin. Nutr., 70: 1107-1110. https://doi.org/10.1093/ajcn/70.6.1107

Dykes, L. and Rooney, L.W., 2006. Sorghum and millet phenols and antioxidants. J. Cereal Sci., 44: 236-251. https://doi.org/10.1016/j.jcs.2006.06.007

Eberhardt, M.V., Lee, C.Y. and Liu, R.H., 2000. Nutrition: Antioxidant activity of fresh apples. Nature,  405: 903. https://doi.org/10.1038/35016151

Elleuch, M., Bedigian, D., Roiseux, O., Besbes, S. and Blecker, H., 2011. Attia, ietary fibre and fibre-rich by-products of food processing: Characterisation, technological functionality and commercial applications: A review. Fd. Chem.,  124: 411-421. https://doi.org/10.1016/j.foodchem.2010.06.077

EUFIC (European Food Information Council), 2015. Whole grain fact sheet. Retrieved from http://www.eufic.org/en/whats-in-food/article/whole-grains-updated-2015, Accessed on July 09, 2015.

Foerster, J., Maskarinec, G., Reichardt, N., Tett, A., Narbad, A., Blaut, N. and Boeing, H., 2014. The influence of whole grain products and red meat on intestinal microbiota composition in normal weight adults: a randomized crossover intervention trial. PLoS One,  9: e109606. https://doi.org/10.1371/journal.pone.0109606

Foufelle, F. and Ferre, P., 2002. New perspectives in the regulation of hepatic glycolytic and lipogenic genes by insulin and glucose: a role for the transcription factor sterol regulatory element binding protein-1c. Biochem. J., 366: 377-391. https://doi.org/10.1042/bj20020430

Frølich, W., Åman, P. and Tetens, I., 2013. Whole grain foods and health–a Scandinavian perspective. Fd. Nutr. Res.,  57: 18503. https://doi.org/10.3402/fnr.v57i0.18503 

Giacco, R., Della-Pepa, G., Luongo, D. and Riccardi, G., 2011. Whole grain intake in relation to body weight: from epidemiological evidence to clinical trials. Nutr. Metab. Cardiovas. Dis., 21: 901-908. https://doi.org/10.1016/j.numecd.2011.07.003

Han, S.F., Zhang, H. and Zhai, C.K., 2012. Protective potentials of wild rice (Zizania latifolia (Griseb) Turcz) against obesity and lipotoxicity induced by a high-fat/cholesterol diet in rats. Fd. Chem. Toxicol., 50: 2263-2269. https://doi.org/10.1016/j.fct.2012.04.039

Han, L.,  Shen, W.J.,  Bittner, S.,  Kraemer, F.B. and Azhar, S., 2017. PPARs: Regulators of metabolism and as therapeutic targets in cardiovascular disease. Part II: PPAR-β/δ and PPAR-γ. Future Cardiol., 13: 279–296. https://doi.org/10.2217/fca-2017-0019

Hirawan, R., Ser, W.Y., Arntfield, S.D. and Beta, T., 2010. Antioxidant properties of commercial, regular-and whole-wheat spaghetti. Fd. Chem., 119: 258-264. https://doi.org/10.1016/j.foodchem.2009.06.022

Horton, J.D., 2002. Sterol regulatory element-binding proteins: transcriptional activators of lipid synthesis. Biochem. Soc. Trans., 30: 1091-1095. https://DOI.org/10.1042/bst0301091

Jiang, M.X., Zhai, C.K. and Guo, B.F., 2007. Dietary intervention effect of multiplex coarse food on chronic disease in community. Mod. Prevent. Med., 5: 041.

Karra, E. and Batterham, R.L., 2010. The role of gut hormones in the regulation of body weight and energy homeostasis. Mol. Cell Endocrinol., 316: 120-128. https://doi.org/10.1016/j.mce.2009.06.010

Knebel, B.,  Haas, J.,  Hartwig, S.,  Jacob, S., Köllmer, C.,  Nitzgen, U., Muller, W.D. and Kotzka,  J., 2012. Liver-specific expression of transcriptionally active SREBP-1c is associated with fatty liver and increased visceral fat mass. PLoS One, 7: e31812. https://doi.org/10.1371/journal.pone.0031812

Kendall, C.W., Esfahani, A. and Jenkins, D.J., 2010. The link between dietary fibre and human health. Fd. Hydrocoll.,  24: 42-48. https://doi.org/10.1016/j.foodhyd.2009.08.002

Lehrke, M. and Lazar, M.A, 2005. The many faces of PPARγCell,  123: 993-999. https://doi.org/10.1016/j.cell.2005.11.026

Livak, K.J. and T.D. Schmittgen, 2001. Analysis of relative gene expression data using real-time quantitative PCR and the 2− ΔΔCT method. Methods, 25: 402-408. https://doi.org/10.1006/meth.2001.1262

Liu, R.H. 2007. Whole grain phytochemicals and health. J. Cereal Sci., 46: 207-219. https://doi.org/10.1016/j.jcs.2007.06.010

Olefsky, J.M. and A.R. Saltiel, 2000. PPARγ and the treatment of insulin resistance. Trends Endocrin. Met., 11: 362-368. https://doi.org/10.1016/S1043-2760(00)00306-4

Okumura, T. and Kohgo, Y., 2006. Increased expression of PPargamma in fatty liver induced by high fat diet,  Nihon rinsho. Japan. J. clin. Med.,  64: 1056-1061.

Okarter, N., Liu, R.H., 2010. Health benefits of whole grain phytochemicals. Crit. Rev. Fd. Sci.,  50: 193-208. https://doi.org/10.1080/10408390802248734

Okamoto, M., Irii, H., Tahara, Y., Ishii, H., Hirao, A., Udagawa, H. and Shimizu, I., 2011. Synthesis of a new [6]-gingerol analogue and its protective effect with respect to the development of metabolic syndrome in mice fed a high-fat diet. J. med. Chem., 54: 6295-304. https://doi.org/10.1021/jm200662c

Ross, A.B., 2015. Whole grains beyond fibre: What can metabolomics tell us about mechanisms? Proc. Nutr. Soc., 74: 320-327. https://doi.org/10.1017/s0029665114001542 

Sato, R.,  2010. Sterol metabolism and SREBP activation. Arch. Biochem. Biophys., 501: 177-181. https://doi.org/10.1016/j.abb.2010.06.004

Strable, M.S. and Ntambi, J.M., 2010. Genetic control of de novo lipogenesis: role in diet-induced obesity. Crit. Rev. Biochem. Mol., 45: 199-214. https://doi.org/10.3109/10409231003667500

Seal, C.J. and Brownlee, I.A., 2015. Whole-grain foods and chronic disease: evidence from epidemiological and intervention studies. Proc. Nutr. Soc., 74: 313-319. https://doi.org/10.1017/S0029665115002104

Truswell, A.S. 2002. Cereal grains and coronary heart disease. Eur. J. clin. Nutr.,  56: 1. https://doi.org/10.1038/sj.ejcn.1601283

Williams, P.G., Grafenauer, S.J. and O’shea, J.E., 2008, Cereal grains, legumes, and weight management: A comprehensive review of the scientific evidence. Nutr. Rev.,  66: 171-182. https://doi.org/10.1111/j.1753-4887.2008.00022.x

Yang, R.L., Li, W., Shi, Y.H., Le, G.W., 2008. Lipoic acid prevents high-fat diet–induced dyslipidemia and oxidative stress: A microarray analysis. Nutrition, 24: 582-588. https://doi.org/10.1016/j.nut.2008.02.002

Ye, E.Q., Chacko, S.A., Chou, E.L., Kugizaki, M. and Liu, S., 2012. Greater whole-grain intake is associated with lower risk of type 2 diabetes, cardiovascular disease, and weight gain–3. J. Nutr.,  142: 1304-1313. https://doi.org/10.3945/jn.111.155325 

Zhang, H., Cao, P., Agellon, L.B. and Zhai, C.K., 2009. Wild rice (Zizania latifolia (Griseb) Turcz) improves the serum lipid profile and antioxidant status of rats fed with a high fat/cholesterol diet. Br. J. Nutr.,  102: 1723-1727. https://doi.org/10.1017/S0007114509991036

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Pakistan Journal of Zoology

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Vol. 51, Iss. 4, Pages 1203-1598

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