Literature DB >> 27216718

Germinated brown rice ameliorates obesity in high-fat diet induced obese rats.

See Meng Lim1,2, Yong Meng Goh3, Norhafizah Mohtarrudin4, Su Peng Loh5,6.   

Abstract

BACKGROUND: Germinated brown rice (GBR) is a novel functional food that is high in fiber and bioactive compounds with health-promoting properties. This study aims to evaluate anti-obesity effects of GBR in obese rats fed high-fat diet (HFD).
METHODS: Male Sprague-Dawley rats were fed HFD for 8 weeks to induce obesity. The rats were then administrated with GBR where the source of dietary carbohydrate of HFD was replaced by either 25 % GBR, 50 % GBR or 100 % GBR for another 8 weeks. Changes in anthropometry, dietary status, biochemical parameters and histopathology of liver and adipose tissue were measured.
RESULTS: Rats fed with HFD were showed elevation in body weight gain and in white adipose tissue mass compared with rats consumed commercial diet. The GBR administration in 50 % GBR and 100 % GBR were significantly decreased body weight gains and food intakes as well as improved lipid profiles in obese rats. In addition, the administration of GBR  had reduced adiposity by showing declination in white adipose tissue mass, adipocytes size and leptin level concomitantly with a higher ratio of fat excretion into feces. Micro- and macrovesicular steatosis were evidently attenuated in obese rats fed GBR.
CONCLUSION: These findings demonstrated that GBR exhibited anti-obesity effects through suppression of body weight gain and food intake, improvement of lipid profiles and reduction of leptin level and white adipose tissue mass in obese rats fed HFD.

Entities:  

Keywords:  Anti-obesity; Diet-induced obese rats; Germinated brown rice; High-fat diet

Mesh:

Year:  2016        PMID: 27216718      PMCID: PMC4877745          DOI: 10.1186/s12906-016-1116-y

Source DB:  PubMed          Journal:  BMC Complement Altern Med        ISSN: 1472-6882            Impact factor:   3.659


Background

Obesity is a condition where abnormal or excessive fat accumulation in the body may affect one person’s health [1]. It is often considered to be a major health threat to disorders such as diabetes mellitus, hypertension, dyslipidemia, coronary heart disease, stroke and several types of cancer as well as increasing the risk of mortality [2]. Recently, about 10.0 % of world adults male and 14.0 % of world adults female were identified as being obese (body mass index, BMI ≥30) in the report of World Health Statistics 2014 [3]. In Malaysia, the prevalence of obese adults was 15.1 % in 2011 [4]. Due to the complex etiology of obesity, therapeutic approaches for long-term obesity management are difficult. Lifestyle intervention includes lowering food intake and increasing physical activity, the main therapeutic strategy for tackling obesity, is usually not so promising, not long-term lasting and require much discipline from the individuals [5]. Anti-obesity drugs, in contrast, are able rapidly to induce weight loss but accompany with adverse effects and user may encounter the problem of regaining weight when discontinued [6]. In recent years, researchers are showing much interest in discovering non-drug strategies such as consuming functional foods or nutraceuticals products as potential therapeutic ways to combat obesity [7]. Numerous studies have examined the anti-obesity effects from various rice species including geminated rough rice [8], germinated brown rice (GBR) [9, 10], black rice [11], wild rice [12] and red mold rice [13]. GBR particularly is quite popular in Asia. It is produced by soaking brown rice in water to induce germination with the germ of about 1 mm long [14]. GBR is not only had intact germ and bran layers that are rich in nutrients, but the hydrolytic enzymes inside the seed have also been activated to produce essential compounds and energy for the formation of seedling during germination [8]. For this reason, it is rich in nutrients such as vitamins, minerals, fibers and bioactive components like γ-aminobutyric acid (GABA), γ-oryzanol and ferulic acid that give numerous protective health effects including antioxidants properties [15, 16], hypocholesterolemic effect [17, 18], hypoglycemic effect [19], anti-colon cancer effect [14], improve Alzheimer’s disease development [20], stimulate osteoblastogenesis [21], and alleviate reproductive system atrophy, dryness and discomfort during menopause [22]. Besides, compared to brown rice, the texture of GBR is found to be less tough and thus better palatability [23]. Previous studies of methanol extract [9] and water extract [10] of GBR demonstrated suppression on body weight gains on mice fed on HFD. Ho et al. [9] reported that methanol extract of GBR was able to reduce adipogenesis in 3T3-L1 adipocytes through the down-regulated expression of adipogenic transcription factors and adipogenic genes. Although few studies have examined the different medicinal properties of GBR and its protective effects in obesity, the information about the use of GBR as a whole instead of extract as a nutraceutical in obesity treatment remains limited. Thus, this study was embarked to investigate the therapeutic effects of GBR as a whole food on diet-induced obese male Sprague-Dawley rats.

Methods

Sample preparation

Brown rice (Oryza sativa MR220 & MR219), varieties that commonly available in the market, was obtained from Padiberas Nasional Berhad (Bernas), Malaysia. The rice was germinated according to the pre-optimized conditions established in Laboratory of Molecular Biomedicine, Institute of Bioscience, Universiti Putra Malaysia (UPM), Selangor, Malaysia as described previously [24]. The GBR was ground to powder using a stainless steel blender (Waring Commercial, Torrington, CT, USA) before used to make rat pellets. Based on our previous study, GBR powder (per 100 g sample) was contained of moisture, 14.04 g; fat, 2.11 g; protein, 11.03 g; carbohydrate, 54.30 g; dietary fiber, 9.18 g, and its energy content was 390.95 ± 11.311 kcal [25].

Animals

Forty-six male Sprague-Dawley rats (166.02 ± 19.63 g) were individually housed in polycarbonate cages (15 cm x 25 cm) with stainless steel covers in the animal house of Faculty of Medicine and Health Sciences, UPM with controlled conditions (24 ± 2 °C, 85 % relative humidity and a controlled 12 h light-dark cycle) throughout the experiment. Male rats were selected to eliminate variations in food intake due to ovarian hormones [26], in addition to their faster-growing degree than females, which enable easier detection of changes in body weight [27]. All rats were acclimatized for a week with the commercial food pellets (Gold Coin, Port Klang, Malaysia). The food pellet consisted of 13 % moisture, 8 % ash, 50 % carbohydrate, 21 % protein, 3 % fat and 5 % fiber. Diets and distilled water were provided ad libitum to rats all through the experiment. Experimental procedures were obtained ethical clearance with reference No. UPM/IACUC/AUP-R034/2014 and were conducted in accordance with the guidelines established by the Institutional Animal Care and Use Committee of UPM.

Induction of obesity

Following acclimatization, the rats were randomly divided into normal diet control (NC) group (n = 11) and HFD group (n = 35). The NC group was continually on commercial food pellets while the latter group was induced obesity by feeding HFD for 8 weeks. The HFD was formulated based on Levin et al. [28] with modification. It was prepared from a mixture of 50 % commercial food pellet, 24 % ghee, 20 % full-cream milk powder and 6 % corn starch. HFD was prepared weekly, to avoid spoilage, by mixing all ingredients thoroughly, spread in trays, cut into smaller pieces and placed in an oven at 65 °C for 24 h. It was stored at 4 °C to avoid lipid oxidation. After the induction period, the mean body weights of the HFD group rats were compared with the NC group. Rats with more than 10 % body weights than the maximum body weights of normal diet rats were considered as obese [29]. The obesity was also confirmed by using Lee index. It was calculated by the cube root of body weight (g)/nose-anal length (cm), for which a value equal to or lower than 0.30 was classified as normal. For value higher than 0.30, the rat was classified as obese [30]. Three rats from NC group and HFD groups, respectively, were sacrificed under anesthesia to obtain data on their weight of adipose tissue. The adipose tissue of HFD group rats should weigh 30–45 % more than those of NC group rats [29].

Treatments of GBR

After confirming that the HFD rats were obese (8 weeks of obesity induction), the rats were further subdivided into HFD positive control (PC) group (n = 8), HFD-induced obese rat administrated with 25 % GBR (25 T) group (n = 8), HFD-induced obese rat administrated with 50 % GBR (50 T) group (n = 8), and HFD-induced obese rat administrated with 100 % GBR (100 T) group (n = 8). Each of the group was provided with their respective diets for another 8 weeks. The NC group (n = 8) was continually on commercial food pellets, the PC group was on the formulated HFD, the 25 T group was received formulated HFD in which 25 % of the commercial food pellets was substituted with GBR, the 50 T group was received formulated HFD in which 50 % of the commercial food pellets was substituted with GBR, and the 100 T group was received formulated HFD in which all of the commercial food pellets was substituted with GBR. Treatment diets were prepared in a similar way as formulated HFD. The energy content of each diet was determined by bomb calorimetry (IKA C5003, IKA Werke, Germany) according to the manufacturer’s protocol and expressed as kcal/100 g of sample.

Anthropometric and dietary measurements

The body weight of each rat was measured at weekly intervals and food intake was recorded twice in a week using electrical balance. The BMI was calculated as body weight (g) divided by the square of the anal-nasal length (cm). The feed efficiency was calculated as weight gain per day (g) divided by either food intake per day (g) or energy intake per day (kcal).

Blood and organ tissue collection

Blood samples were collected after an overnight fast under ketamine and xylazine anesthesia during the end of the induction and end of the treatment. The collected blood was centrifuged for 10 min at 3500 rpm at room temperature and the supernatants were collected and kept at −80 °C. At the end of the treatment, rats were exsanguinated through cardiac puncture. The liver was surgically removed, rinsed with physiological saline solution and wet weights were measured with an analytical balance after blotting. The white adipose tissues (abdominal, epididymal and perirenal) were dissected and wet weights were recorded.

Biochemical analysis

Plasma of total cholesterol, triglyceride and high-density lipoprotein (HDL) cholesterol were measured using enzymatic colorimetric method (Cobas 8000, Roche-Diagnostics, Basel, Switzerland). Fasting blood glucose level was analyzed by UV-Test with hexokinase reference method (Cobas 8000, Roche-Diagnostics, Basel, Switzerland). Plasma leptin concentration was quantified using the enzyme-linked immunosorbent assay (ELISA) kits according to as described in the manufacturer’s instruction (Catalog No. CSB-E07433r, CUSABIO BIOTECH CO., LTD, China).

Fecal fat content analysis

Feces were collected from rats on 7 consecutive days on the last week of obesity induction and on the last week end of the treatment. They were freeze dried and ground by mortar and pestle before being analyzed using a soxhlet extraction apparatus (Soxtec Avanti 2050, Foss Tecator AB, Hoganas, Sweden) with petroleum ether. The fecal fat content is expressed as the percentage of fat.

Histopathological studies of liver and white adipose tissue

The liver and white adipose tissues were fixed in a buffer solution of 10 % formalin. The fixed tissues were processed routinely for paraffin embedding, after which 4–5 μm sections were prepared and stained with hematoxylin and eosin (H&E). The stained areas were then viewed using an optical microscope.

Statistical analysis

Data are expressed as means ± standard deviations (SD). Analyzes were performed by one-way analysis of variance (ANOVA), followed by Duncan’s multiple-range test, using IBM SPSS software version 21.0. Paired sample T-test (two tails) was performed to compare the results obtained before treatment and after treatment within same groups whereas Independent sample T-test (two tails) was performed to compare the results obtained between two groups. Values were considered statistically significant when p < 0.05.

Results

Energy distribution of each diet

Table 1 shows the energy distribution in the percentage of different diets fed to the rats. HFD indicated the highest energy content (560.13 ± 4.17 kcal/100 g) and was used to induce obesity among HFD group for 8 weeks. Energy contributed from fat sources in HFD diet was 52.0 kcal% and it was 43 % increase fat composition compared with normal diet (9.0 kcal%). The energy content of the normal diet was only 389.74 ± 1.11 kcal/100 g in which carbohydrate was contributed the highest energy with 64.0 kcal%. For treatment groups, energy content was 532.58 ± 9.91 kcal/100 g for 25 T (HFD + 25 % GBR), 528.63 ± 4.51 kcal/100 g for 50 T (HFD + 50 % GBR) and 544.30 ± 4.03 kcal/100 g for 100 T (HFD + 100 % GBR). Energy contributed by fat was 52.0 kcal% in all treatment diets.
Table 1

Energy distribution in percentage of each diet in the experiment

Type of diet1 Normal diet2 HFDHFD + 25 % GBRHFD + 50 % GBRHFD + 100 % GBR
Protein (kcal%)27.013.013.012.010.0
Carbohydrate (kcal%)64.035.035.036.038.0
Fat (kcal%)9.052.052.052.052.0
Total energy (kcal/100 g)2 389.74 ± 1.11a 560.13 ± 4.17b 532.58 ± 9.91c 528.63 ± 4.51c 544.30 ± 4.03d

Values with different superscripts in a row indicate significant difference (p < 0.05) by Duncan’s multiple range tests

HFD high fat diet, GBR germinated brown rice

1Values are calculated from total energy while total energy was determined by bomb calorimetry (IKA C5003, IKA Werke, Germany)

2Commercial food pellets from Gold Coin, Port Klang, Malaysia

Energy distribution in percentage of each diet in the experiment Values with different superscripts in a row indicate significant difference (p < 0.05) by Duncan’s multiple range tests HFD high fat diet, GBR germinated brown rice 1Values are calculated from total energy while total energy was determined by bomb calorimetry (IKA C5003, IKA Werke, Germany) 2Commercial food pellets from Gold Coin, Port Klang, Malaysia

Anthropometry, dietary status, and weight of organs and white adipose tissue measurement during obesity induction period

The anthropometry, dietary status, and weight of organs and white adipose tissue during obesity induction period are shown in Table 2. The body weight gains of the HFD group were significantly higher (p < 0.05) than the NC group although their body weights were similar at the onset of the experiment. Similarly, significantly higher (p < 0.05) Lee index and BMI were observed in the HFD group compared with the NC group. No significant difference in food intake was observed throughout the obesity induction period in both groups. However, the energy intake and feed efficiency indicated significantly higher value (p < 0.05) in the HFD group compared with the NC group.
Table 2

Anthropometry, dietary status, and weight of organs and white adipose tissues during obesity induction period by high fat diet in rats

Groups NC 1 HFD 2
 Body weight (g)
  Initial221.36 ± 24.33a 218.86 ± 21.10a
  Final335.09 ± 19.28a 420.70 ± 41.71b
 Body weight gain (g)113.73 ± 15.88a 202.61 ± 34.50b
 Lee index0.29 ± 0.00a 0.31 ± 0.00b
 Body mass index0.60 ± 0.02a 0.70 ± 0.04b
 Food intake (g/day/rat)15.80 ± 4.48a 16.44 ± 1.10a
 Energy intake (kcal/day/rat)61.63 ± 17.46a 89.03 ± 7.27b
 Feed efficiency (g/g)0.13 ± 0.02a 0.22 ± 0.04b
 Feed efficiency (g/kcal)0.03 ± 0.00a 0.04 ± 0.01b
Groups NC 3 HFD 3
 Organ weight (g/100 g BW)
  Liver2.26 ± 0.05a 2.75 ± 0.21a
  Kidney0.32 ± 0.01a 0.33 ± 0.00a
 White adipose tissue weight (g/100 g BW)0.66 ± 0.09a 4.86 ± 0.25b
  Abdominal0.58 ± 0.02a 2.69 ± 0.29b
  Epididymal0.53 ± 0.13a 1.69 ± 0.17b
  Perirenal0.19 ± 0.05a 0.48 ± 0.07b

Values with different superscripts in a row indicate significant difference (p < 0.05) by Independent-Samples T test

NC normal diet, HFD high-fat diet

1 Values are expressed as means ± SD (n = 11)

2 Values are expressed as means ± SD (n = 35)

3 Values are expressed as means ± SD (n = 3)

Anthropometry, dietary status, and weight of organs and white adipose tissues during obesity induction period by high fat diet in rats Values with different superscripts in a row indicate significant difference (p < 0.05) by Independent-Samples T test NC normal diet, HFD high-fat diet 1 Values are expressed as means ± SD (n = 11) 2 Values are expressed as means ± SD (n = 35) 3 Values are expressed as means ± SD (n = 3) No significant difference was observed in liver and kidney weights normalized to 100 g of body weight between the HFD group and the NC group. However, with regard to white adipose tissue, the weights of abdominal, epididymal and perirenal in rats fed on HFD were significantly higher (p < 0.05) compared with the NC group rats. The total white adipose tissue weights of rats fed on HFD was increased 86.42 % compared with the NC group rats. The adipose tissue weight gains of abdominal, epididymal and perirenal were increased 78.44, 43.12, and 10.78 % compared with the NC group, respectively.

Anthropometry, dietary status, and weight of organs and white adipose tissue measurement during treatment period

Figure 1 (a) shows the changes of body weights of rats during the 8 weeks treatment period. The body weights of the rats increased gradually during the treatment period in all groups except in the 100 T group where the body weights in this group were relatively consistent. GBR administration for 8 weeks significantly decreased (p < 0.05) body weight gains in the 100 T group (16.88 ± 10.12 g) and 50 T group (91.50 ± 23.24 g) as compared with the PC group (135.63 ± 34.04 g) as shown in Table 3. The Lee index and BMI in these two groups were also significantly lower (p < 0.05) than the PC group. The mean body weight gains in the 100 T group were notably lower compared with the NC group although they were fed on HFD. The changes in food intakes during the treatment period are shown in Fig. 1 (b). Similarly, the food intakes were significantly lower (p < 0.05) in the 50 T group and the 100 T group compared with other groups. There was no significant difference in food intakes between the PC group (15.29 ± 1.11 g) and the NC group (15.38 ± 1.02 g). At the same time, the administration of GBR significantly reduced (p < 0.05) energy intake in the 25 T, 50 T, and the 100 T group as compared with the PC group in a dose-dependent manner although all of these groups were fed on HFD. The feed efficiency of the 50 T group and the 100 T group were significantly lower (p < 0.05) than the PC group but the feed efficiency of the 25 T group was comparable with the PC group.
Fig. 1

Effects of GBR on body weight and food intake of rats during the 8 weeks treatment period. a Changes of body weight. b Changes of food intake. Values are expressed as means ± SD (n = 8). NC, normal diet; PC, high-fat diet; 25 T, high-fat diet + 25 % GBR; 50 T, high-fat diet + 50 % GBR; 100 T, high-fat diet + 100 % GBR

Table 3

Anthropometry, dietary status, and weight of organs and white adipose tissues during GBR treatment period in diet-induced obese rats

GroupsNCPC25 T50 T100 T
Body weight (g)
 Initial328.25 ± 23.30a 427.25 ± 57.91b 414.25 ± 27.91b 403.00 ± 33.56b 400.88 ± 29.68b
 Final370.63 ± 29.12a 562.88 ± 85.62b 548.50 ± 43.27bc 494.50 ± 59.58c 417.75 ± 45.47a
Body weight gain (g)42.38 ± 14.73a 135.63 ± 34.04b 134.25 ± 20.49b 91.50 ± 23.24c 16.88 ± 10.12a
Lee index0.29 ± 0.00a 0.32 ± 0.01b 0.31 ± 0.00b 0.31 ± 0.01c 0.30 ± 0.01a
Body mass index0.62 ± 0.03a 0.82 ± 0.06b 0.81 ± 0.04b 0.74 ± 0.06c 0.67 ± 0.06d
Food intake (g/day/rat)15.38 ± 1.02a 15.29 ± 1.11a 15.30 ± 0.73a 14.57 ± 0.61b 12.00 ± 0.86c
Energy intake (kcal/day/rat)59.96 ± 4.00a 85.64 ± 6.21b 81.53 ± 3.89c 77.07 ± 3.24d 65.26 ± 4.67e
Feed efficiency (g/g)0.06 ± 0.02a 0.16 ± 0.04b 0.16 ± 0.02b 0.11 ± 0.03c 0.04 ± 0.01a
Feed efficiency (g/kcal)0.01 ± 0.00a 0.03 ± 0.01b 0.03 ± 0.00b 0.02 ± 0.01ab 0.01 ± 0.00a
Organ weight (g/100 g BW)
 Liver2.43 ± 0.21a 2.89 ± 0.20b 2.84 ± 0.23b 2.82 ± 0.20b 2.70 ± 0.25b
 Kidney0.46 ± 0.04ab 0.47 ± 0.02b 0.44 ± 0.03ab 0.44 ± 0.04ab 0.43 ± 0.03a
White adipose tissue weight (g/100 g BW)1.45 ± 0.91a 5.75 ± 1.18b 5.59 ± 0.47bc 4.97 ± 1.28bc 1.31c
 Abdominal0.67 ± 0.55a 3.51 ± 0.65b 3.44 ± 0.40b 3.11 ± 0.78b 0.99b
 Epididymal0.57 ± 0.19a 1.71 ± 0.51b 1.70 ± 0.31b 1.42 ± 0.53b 1.28 ± 0.50b
 Perirenal0.21 ± 0.07a 0.53 ± 0.13b 0.45 ± 0.10b 0.43 ± 0.17b 0.40 ± 0.13ab

Values are expressed as means ± SD (n = 8)

Values with different superscripts in a row indicate significant difference (p < 0.05) by Duncan’s multiple range tests

NC normal diet, PC high-fat diet, 25 T high-fat diet + 25 % GBR, 50 T high-fat diet + 50 % GBR, 100 T high-fat diet + 100 % GBR

Effects of GBR on body weight and food intake of rats during the 8 weeks treatment period. a Changes of body weight. b Changes of food intake. Values are expressed as means ± SD (n = 8). NC, normal diet; PC, high-fat diet; 25 T, high-fat diet + 25 % GBR; 50 T, high-fat diet + 50 % GBR; 100 T, high-fat diet + 100 % GBR Anthropometry, dietary status, and weight of organs and white adipose tissues during GBR treatment period in diet-induced obese rats Values are expressed as means ± SD (n = 8) Values with different superscripts in a row indicate significant difference (p < 0.05) by Duncan’s multiple range tests NC normal diet, PC high-fat diet, 25 T high-fat diet + 25 % GBR, 50 T high-fat diet + 50 % GBR, 100 T high-fat diet + 100 % GBR The liver weights of the HFD groups (PC, 25, 50, and 100 T) were significantly higher compared with the NC group. The rats administrated with GBR were showed lower liver weights than the PC group although no significant difference was observed among them. The kidney weights were comparable between the HFD groups and the NC group. Rats fed on HFD showed significant increased (p < 0.05) in weight of all three types of white adipose tissues compared with the NC group. Only rats fed with the highest dose of GBR (100 T) was showed a significantly lower amount of total white adipose tissue (4.55 ± 1.31 g/100 g BW) compared with the PC group (5.75 ± 1.18 g/100 g BW). However, no significant difference was observed in individual weight of abdominal, epididymal and perirenal adipose tissue between the 100 T group and the PC group.

Changes of biochemical analysis

Table 4 shows the changes of plasma lipid profiles, glucose levels and leptin levels between induction and treatment period in rats. Rats fed on HFD for 8 weeks demonstrated significant elevation (p < 0.05) of total cholesterol levels and triglyceride levels compared with the NC group. However, the feeding of GBR to obese rats (25, 50, and 100 T) resulted in significant reduction (p < 0.05) of the total cholesterol levels as compared with the PC group and with their respectively total cholesterol levels before treatment. The triglyceride levels were significantly lower (p < 0.05) in the 50 T group (90.67 ± 11.99 mg/dL) and 100 T group (87.91 ± 11.78 mg/dL) compared with the PC group (143.59 ± 20.60 mg/dL). However, the reduction of triglyceride levels was not significantly difference compared with their respective triglyceride levels before treatment. Although the administration of GBR in obese rats did not increase HDL-cholesterol levels, it was observed that the administration of GBR reduced the declination of plasma HDL-cholesterol levels with only 15.02 % reduction in the 50 T group and 12.66 % reduction in the 100 T group compared with 33.00 % reduction in the PC group. Overall, the administration of GBR improved the plasma lipid profiles in treated obese rats, which was also shown by an increment of HDL-cholesterol/total cholesterol ratio (HTR) compared with untreated obese rats. The HTR was found to be increased in the 50 T group (5.00 %) and the 100 T group (8.65 %) after GBR treatment while the HTR were decreased in the NC group ( −3.62 %), 25 T group ( −3.90 %) and PC group ( −50.97 %) after treatment. In addition, the atherogenic index (AI) was found to be significantly decreased (p < 0.05) in all GBR administrated groups compared with the PC group. A significant reduction (p < 0.05) of AI was observed in the 50 T group and 100 group compared with their respective AI before treatment. On the other hand, there was no significant difference in glucose levels between induction and treatment in obese rats fed with GBR (25, 50, and 100 T). However, the glucose levels of the NC group and PC group were found to increase significantly (p < 0.05) compared with their respectively glucose levels before treatment. Thus, this indicated that GBR might help to mitigate the effect of HFD on glucose level. Besides, the feeding of HFD for 8 weeks was significantly increased (p < 0.05) the leptin levels in the HFD group compared with the NC group. The leptin levels were found to be decreased but not significantly different in the treatment groups (25, 50, and 100 T) compared with their respectively leptin levels before treatment. Oppositely, the leptin levels were found to be increased in the NC group and the PC group after treatment.
Table 4

Changes of plasma lipid profile, glucose level and leptin level between induction and treatment period in rats

GroupTotal cholesterol (mg/dL)Triglyceride (mg/dL)HDL-cholesterol (mg/dL)HTR (%)1 AI2 Glucose level (mg/dL)Leptin level (ng/mL)
NCInduction53.61 ± 9.56Aa 46.94 ± 9.19Aa 40.02 ± 4.63Aa 75.48 ± 6.38Aa 0.33 ± 0.12Aa 121.62 ± 7.64Aa 3.59 ± 0.42Aa
Treatment57.57 ± 10.64Aa 59.56 ± 7.33Ba 40.70 ± 6.01Aa 71.77 ± 9.91Aa 0.35 ± 0.11Aa 130.18 ± 5.76Ba 3.65 ± 0.43Aa
PCInduction66.80 ± 7.48Ab 99.53 ± 12.67Ab 46.55 ± 8.75Aab 69.28 ± 6.56Aab 0.45 ± 0.14Aa 125.90 ± 12.61Aa 4.65 ± 0.62Ab
Treatment76.37 ± 7.95Bb 143.59 ± 20.60Bb 35.00 ± 7.10Ba 45.89 ± 8.79Bb 1.17 ± 0.39Bb 138.29 ± 10.93Bb 4.97 ± 0.75Ab
25 TInduction65.40 ± 9.79Ab 96.10 ± 14.90Ab 48.77 ± 9.75Ab 74.34 ± 7.17Aab 0.39 ± 0.16Aa 115.77 ± 14.41Aa 4.78 ± 0.55Ab
Treatment49.40 ± 5.47Ba 127.43 ± 7.20Bc 34.85 ± 3.06Ba 71.44 ± 11.42Aa 0.45 ± 0.15Aa 114.64 ± 4.30Ac 4.57 ± 0.35Ab
50 TInduction72.55 ± 11.55Ab 100.42 ± 9.68Ab 47.03 ± 5.41Aab 65.89 ± 10.79Ab 0.45 ± 0.18Aa 117.79 ± 8.88Aa 4.63 ± 0.51Ab
Treatment59.60 ± 12.70Ba 90.67 ± 11.99Ad 40.89 ± 9.74Aa 69.36 ± 14.19Aa 0.35 ± 0.18Aa 116.67 ± 2.68Ac 4.44 ± 0.60Ab
100 TInduction72.84 ± 6.51Ab 99.75 ± 11.08Ab 46.89 ± 5.12Aab 65.09 ± 10.72Ab 0.49 ± 0.19Aa 113.29 ± 11.49Aa 4.68 ± 1.02Ab
Treatment57.86 ± 9.19Ba 87.91 ± 11.78Ad 41.62 ± 10.03Aa 71.25 ± 9.59Aa 0.32 ± 0.07Aa 112.61 ± 4.41Ac 4.33 ± 0.73Ab

NC normal diet, PC high-fat diet, 25 T high-fat diet + 25 % GBR, 50 T high-fat diet + 50 % GBR, 100 T high-fat diet + 100 % GBR

1HTR = (HDL-cholesterol/total cholesterol) × 100

2 AI atherogenic index = (total cholesterol - HDL-cholesterol)/HDL-cholesterol

Block letters indicate significant difference (p < 0.05) within the same group at different time intervals by Paired sample T-test, while lower case letters indicate significant difference (p < 0.05) between groups regarding the corresponding time interval by Duncan’s multiple range tests

Changes of plasma lipid profile, glucose level and leptin level between induction and treatment period in rats NC normal diet, PC high-fat diet, 25 T high-fat diet + 25 % GBR, 50 T high-fat diet + 50 % GBR, 100 T high-fat diet + 100 % GBR 1HTR = (HDL-cholesterol/total cholesterol) × 100 2 AI atherogenic index = (total cholesterol - HDL-cholesterol)/HDL-cholesterol Block letters indicate significant difference (p < 0.05) within the same group at different time intervals by Paired sample T-test, while lower case letters indicate significant difference (p < 0.05) between groups regarding the corresponding time interval by Duncan’s multiple range tests Figure 2 shows the fecal fat content of rats during obesity induction period and treatment period. No significant difference in the fecal fat content of rats was observed between induction and treatment period for the NC group and the PC group. However, the fecal fat content was found to be increased significantly (p < 0.05) in rats administrated with GBR in a dose-dependent manner compared with the PC group and their respective fecal fat content during induction. The fecal fat content was found to be the highest in the 100 T group (5.72 ± 0.08 %), followed by 50 T group (3.18 ± 0.05 %) and 25 T group (2.74 ± 0.08 %).
Fig. 2

Fecal fat content for obesity induction period and treatment period. Values are expressed as means ± SD (n = 3). Values with different superscripts indicate significant difference (p < 0.05) by Duncan’s multiple range tests. NC, normal diet; PC, high-fat diet; 25 T, high-fat diet + 25 % GBR; 50 T, high-fat diet + 50 % GBR; 100 T, high-fat diet + 100 % GBR

Fecal fat content for obesity induction period and treatment period. Values are expressed as means ± SD (n = 3). Values with different superscripts indicate significant difference (p < 0.05) by Duncan’s multiple range tests. NC, normal diet; PC, high-fat diet; 25 T, high-fat diet + 25 % GBR; 50 T, high-fat diet + 50 % GBR; 100 T, high-fat diet + 100 % GBR

Histopathological studies of liver and white adipose tissues

As shown in Fig. 3(a), the liver of NC group showed normal lobular architecture with normal hepatocytes arranged in one cell plate separated by sinusoids. GBR administration reduced micro- and macrovesicular steatosis as compared with untreated obese rats. The liver of the PC group exhibited severe and diffuse micro- and macrovesicular steatosis (Fig. 3(b)), whereas mild and focal micro- and macrovesicular steatosis were observed in the obese rats administrated with GBR (Fig. 3(c–e)). Necrosis was also evidenced in the PC group but none in the GBR administrated obese rats. No hepatitis, hemorrhage, and perivenular fibrosis were observed in all rats. Overall, histopathological analysis and their qualitative scoring are summarized in Table 5.
Fig. 3

Photomicrographs of liver (Haematoxylin & Eosin, Original magnification x 100) of treated and untreated rats. a Normal liver in NC group. b Diffuse micro- and macrovesicular steatosis, swollen hepatocytes, and hepatocyte necrosis was evidenced in PC group. c–e The treatments of GBR reduced micro- and macrovesicular steatosis and other pathological features was witnessed in 25, 50 and 100 T group. H, Hepatocytes; MaV, Macrovesicular; MiV, Microvesicular; N, Neutrophils; S, Sinusoids

Table 5

Histopathological scoring of liver in normal weight rats and HFD-induced obese rats with and without treatment of GBR for 8 weeks

Parametera NCPC25 T50 T100 T
Hepatic steatosis
 Microvesicular-+++++++++
 Macrovesicular-+++++++++
Hepatitis-----
Haemorrhage-----
Hepatocyte necrosis-+---
Fat cysts-----
Perivenular fibrosis-----

NC normal diet, PC high-fat diet, 25 T high-fat diet + 25 % GBR, 50 T high-fat diet + 50 % GBR, 100 T high-fat diet + 100 % GBR

aThe severity was evaluated based on the following scoring scheme: - normal, + mild effect, ++ moderate effect, +++ severe effect

Photomicrographs of liver (Haematoxylin & Eosin, Original magnification x 100) of treated and untreated rats. a Normal liver in NC group. b Diffuse micro- and macrovesicular steatosis, swollen hepatocytes, and hepatocyte necrosis was evidenced in PC group. c–e The treatments of GBR reduced micro- and macrovesicular steatosis and other pathological features was witnessed in 25, 50 and 100 T group. H, Hepatocytes; MaV, Macrovesicular; MiV, Microvesicular; N, Neutrophils; S, Sinusoids Histopathological scoring of liver in normal weight rats and HFD-induced obese rats with and without treatment of GBR for 8 weeks NC normal diet, PC high-fat diet, 25 T high-fat diet + 25 % GBR, 50 T high-fat diet + 50 % GBR, 100 T high-fat diet + 100 % GBR aThe severity was evaluated based on the following scoring scheme: - normal, + mild effect, ++ moderate effect, +++ severe effect White adipose tissues of the various groups of rats are shown in Fig. 4(a–e). Routine processing methods for microscopy generally extract lipid from tissues leaving the lipid droplets within cells appear as unstained vacuoles. The white adipose tissue exhibited larger adipocytes in the PC group (Fig. 4(b)), whereas the NC group showed normal adipocytes distribution with regular sizes of cells (Fig. 4 (a)). The fat stored in adipocytes in obese rats especially the not administrated rats were accumulated as lipid droplets which fuse to form a single large droplet which distends and occupies most of the cytoplasm. However, the adipocytes of obese rats treated with GBR indicated smaller sizes and similar histology to the NC group especially in the 100 T group rats (Fig. 4(e)). No acute and chronic inflammatory infiltrates or necrosis was seen in all rats.
Fig. 4

Photomicrographs of white adipose tissue (Haematoxylin & Eosin, Original magnification x 200) of treated and untreated rats. a Smaller size of adipocytes was clearly observed in NC group. b Larger size of adipocytes was seen in PC group. The enlarged adipocytes might due to coalescence of adjacent adipocytes cells. c–e The size of adipocytes in the obese rats treated with GBR was clearly smaller in 25, 50 and 100 T group. A, Adipocytes; C, Blood capillaries; Co, Coalescence; N, Nucleus

Photomicrographs of white adipose tissue (Haematoxylin & Eosin, Original magnification x 200) of treated and untreated rats. a Smaller size of adipocytes was clearly observed in NC group. b Larger size of adipocytes was seen in PC group. The enlarged adipocytes might due to coalescence of adjacent adipocytes cells. c–e The size of adipocytes in the obese rats treated with GBR was clearly smaller in 25, 50 and 100 T group. A, Adipocytes; C, Blood capillaries; Co, Coalescence; N, Nucleus

Discussion

This present study demonstrated that the HFD intake confirms induction of obesity in rats. Numerous comprehensive review of past studies have summarized high-fat food significantly upsurge accumulation of adipose tissue, due to their high energy density, leading to increasing of body weight [31-33]. In this study, it was observed that GBR treatment exerted beneficial effects against obesity. Body weight gains and food intakes were found to be significantly reduced in GBR administrated obese rats (50 and 100 T), resulted in a reduction of the Lee index and BMI. Similar results have been reported by Ho et al. [9], in which mice supplemented with 0.15 % GBR methanol extract showed a significant reduction in their weight gain. However, they found no significant reduction in food intake compared with untreated mice for 7 weeks. Oh et al. [10] also found a reduction in weight gain and food intake in mice fed with 10 μl/g body weight of GBR water extract for 8 weeks. The differences between this present study and these two previous studies are the approaches used, whereby the GBR was given as a whole food after rats were induced with obesity and further continued on HFD. Besides, GBR was showed containing a significantly higher amount of dietary fiber than white rice and brown rice [18]. The bulking and viscosity properties of dietary fiber are able to suppress food intake by promoting satiation and satiety. Increasing efforts and/or time of mastication in fiber-rich foods lead to increase satiety through a reduction in the rate of ingestion [34]. The promotion of satiety by GBR, as a whole grain food, is elucidating the reduction of food intake in GBR administrated obese rats. Apart from that, the treatment of GBR also significantly lowered the plasma total cholesterol and triglyceride levels. The HDL-cholesterol level showed a reduction after administration of GBR. However, the percentage of reduction in the HDL-cholesterol level was lesser in GBR treated obese rats compared with untreated obese rats. One of the possible reason for the reduction in HDL-cholesterol level among GBR treated obese rats might be due to the continuation feeding of HFD during the treatment period as several studies showed that HFD resulted in dyslipidemic changes by increasing levels of triglyceride, total cholesterol, LDL-cholesterol and reducing level of HDL cholesterol [35, 36]. In addition, there were few studies reported similar results that GBR decreased the concentration of blood total cholesterol and triglycerides compared with untreated HFD group [9, 10, 37]. Ho et al. [9] postulated that the GABA, vitamin E, and γ-oryzanol in GBR were the components that exerted hypocholesterolemia in mice fed on HFD. Thus, this may explain why the administration of GBR was found to be increased the HTR but decreased the AI in GBR administrated obese rats. Besides, the reduction of the total cholesterol and triglyceride is also believed to be associated with dietary fibers through the increment of steroid and bile acid excretion into feces. Stronger bile acids binding ability of rice bran compared with oat bran, wheat bran, and corn bran has been reported [38]. The previous study hypothesized the cholesterol-lowering mechanism of pre-GBR might be due, at least in part, to the increment of steroid and bile acid excretion into feces with an enhancement in cholesterol 7α-hydroxylase activity in the liver microsomal fraction [39]. In this study, administrated of GBR reduced levels of leptin in the GBR administrated obese rats. It is more likely that reduction of plasma leptin was due to the decreased of the white adipose tissue mass. This is because blood leptin levels are closely related to fat deposition [40]. Previous studies have shown similar results that decreased of fat mass resulted in a reduction in leptin concentrations [41, 42]. The results of this study indicated that the administration of GBR resulted in decreased of white adipose tissues. In addition, obesity is closely correlated with insulin resistance and hyperglycemia [43]. Surprisingly, the glucose levels of obese rats were not significantly different than normal weight rats in this study. Other previous studies had also reported similar findings in which they found no significant difference in blood glucose between normal weight rats and obese rats [13, 44]. However, they found insulin resistance in obese rats. This is consistent with the notion that obesity is often associated with insulin resistance [43]. On the other hand, Imam et al. [17] reported a hypoglycemic effect of GBR on streptozotocin-induced diabetes rats. Thus, further study is warranted to better elucidate the effect of GBR on insulin resistance and hyperglycemia under both physiological and pathophysiological conditions. In this present study, the GBR treatment enhanced the fat excretion into feces in GBR administrated obese rats. It is possible that anti-obesity effects of GBR, which might account, at least partially resulted from suppressing dietary fat digestion via inhibition of pancreatic lipase activity with subsequent excretion of the undigested fat, which was consistent with the findings of the in vitro experiment [45]. Furthermore, this present study showed a significant reduction in total white adipose tissue mass (abdominal, epididymal and perirenal) and shrinkage in adipocytes in GBR fed obese rats. It is plausible that GBR exerts its anti-obesity effects by decreasing fat accumulation through inhibiting adipocyte differentiation and stimulating lipolysis on adipocytes as reported in the in vitro study [45]. This is further supported by the down-regulated expression of adipogenic transcription factors and adipogenic genes in 3T3-L1 adipocytes studied in GBR extract previously [9]. Moreover, micro- and macrovesicular steatosis was evidently attenuated in GBR treated obese rats. The consumption of HFD contributed to obesity, which is increased the risk of nonalcoholic fatty liver disease in obese individuals [46]. Steatosis, the hallmark of a feature of the nonalcoholic fatty liver disease, progresses to steatohepatitis, eventually to cirrhosis [47]. The treatment of GBR results in a reduction of steatosis, suggesting the potential role of GBR in restoring the liver damage caused by HFD.

Conclusions

In conclusion, this study provides evidence that GBR ameliorates obesity by suppressing body weight gain and food intake while improving lipid profiles and reducing leptin level and white adipose tissue mass in obese rats fed on HFD. The beneficial effects of GBR on obesity seem to be partly attributed to the synergistic effects of its high dietary fibers, vitamins, minerals and other bioactive compounds such as GABA, γ-oryzanol, phytosterols, polyphenols, tocotrienols and α-tocopherol. However, further studies are required to verify the effectiveness of GBR in fighting obesity in human study and to recommend the dosage to use GBR in the daily diet.
  38 in total

Review 1.  Food ingredients as anti-obesity agents: a review.

Authors:  L Trigueros; S Peña; A V Ugidos; E Sayas-Barberá; J A Pérez-Álvarez; E Sendra
Journal:  Crit Rev Food Sci Nutr       Date:  2013       Impact factor: 11.176

2.  Effect of estradiol and progesterone on daily rhythm in food intake and feeding patterns in Fischer rats.

Authors:  M Varma; J K Chai; M M Meguid; A Laviano; J R Gleason; Z J Yang; V Blaha
Journal:  Physiol Behav       Date:  1999 Dec 1-15

3.  Effect of pre-germination time of brown rice on serum cholesterol levels of hypercholesterolaemic rats.

Authors:  Shahin Roohinejad; Alireza Omidizadeh; Hamed Mirhosseini; Nazamid Saari; Shuhaimi Mustafa; Rokiah Mohd Yusof; Anis Shobirin Meor Hussin; Azizah Hamid; Mohd Yazid Abd Manap
Journal:  J Sci Food Agric       Date:  2010-01-30       Impact factor: 3.638

Review 4.  Obesity and nonalcoholic fatty liver disease: biochemical, metabolic, and clinical implications.

Authors:  Elisa Fabbrini; Shelby Sullivan; Samuel Klein
Journal:  Hepatology       Date:  2010-02       Impact factor: 17.425

5.  High-fat diet-induced obesity leads to resistance to leptin-induced cardiomyocyte contractile response.

Authors:  Jun Ren; Bang-Hao Zhu; David P Relling; Lucy B Esberg; Asli F Ceylan-Isik
Journal:  Obesity (Silver Spring)       Date:  2008-08-14       Impact factor: 5.002

6.  Biochemical study of oxidative stress markers in the liver, kidney and heart of high fat diet induced obesity in rats.

Authors:  Saad A Noeman; Hala E Hamooda; Amal A Baalash
Journal:  Diabetol Metab Syndr       Date:  2011-08-03       Impact factor: 3.320

7.  Effect of germinated brown rice extracts on pancreatic lipase, adipogenesis and lipolysis in 3T3-L1 adipocytes.

Authors:  See Meng Lim; Yong Meng Goh; Wen Bin Kuan; Su Peng Loh
Journal:  Lipids Health Dis       Date:  2014-11-03       Impact factor: 3.876

8.  Effect of acid and base catalyzed hydrolysis on the yield of phenolics and antioxidant activity of extracts from germinated brown rice (GBR).

Authors:  Ismaila Muhammad Sani; Shahid Iqbal; Kim Wei Chan; Maznah Ismail
Journal:  Molecules       Date:  2012-06-19       Impact factor: 4.411

9.  Effects of white rice, brown rice and germinated brown rice on antioxidant status of type 2 diabetic rats.

Authors:  Mustapha Umar Imam; Siti Nor Asma Musa; Nur Hanisah Azmi; Maznah Ismail
Journal:  Int J Mol Sci       Date:  2012-10-10       Impact factor: 5.923

10.  Effects of brown rice and white rice on expression of xenobiotic metabolism genes in type 2 diabetic rats.

Authors:  Mustapha Umar Imam; Maznah Ismail
Journal:  Int J Mol Sci       Date:  2012-07-10       Impact factor: 6.208

View more
  11 in total

1.  Anti-obesity effect of ethanolic extract from Cosmos caudatus Kunth leaf in lean rats fed a high fat diet.

Authors:  Hafeedza Abdul Rahman; Najla Gooda Sahib; Nazamid Saari; Faridah Abas; Amin Ismail; Muhammad Waseem Mumtaz; Azizah Abdul Hamid
Journal:  BMC Complement Altern Med       Date:  2017-02-22       Impact factor: 3.659

2.  Prenatal Bisphenol a Exposure and Postnatal Trans Fat Diet Alter Small Intestinal Morphology and Its Global DNA Methylation in Male Sprague-Dawley Rats, Leading to Obesity Development.

Authors:  Sarah Zulkifli; Noor Shafina Mohd Nor; Siti Hamimah Sheikh Abdul Kadir; Norashikin Mohd Ranai; Noor Kaslina Mohd Kornain; Wan Nor I'zzah Wan Mohd Zain; Mardiana Abdul Aziz
Journal:  Nutrients       Date:  2022-06-08       Impact factor: 6.706

3.  Time-Restricted Feeding Improved Vascular Endothelial Function in a High-Fat Diet-Induced Obesity Rat Model.

Authors:  Ahmad Khusairi Azemi; Abdul Rahim Siti-Sarah; Siti Safiah Mokhtar; Aida Hanum Ghulam Rasool
Journal:  Vet Sci       Date:  2022-04-28

4.  Hepatoprotective Effect of Supercritical Carbon Dioxide Extracted Dabai Pulp Oil and Its Defatted Pulp.

Authors:  Noor Atiqah Aizan Abdul Kadir; Azrina Azlan; Faridah Abas; Intan Safinar Ismail
Journal:  Molecules       Date:  2021-01-28       Impact factor: 4.411

5.  The Implementation of Childhood Obesity Related Policy Interventions in Malaysia-A Non Communicable Diseases Scorecard Project.

Authors:  Wilfred Kok Hoe Mok; Noran Naqiah Hairi; Caryn Mei Hsien Chan; Feisul Idzwan Mustapha; Thamil Arasu Saminathan; Wah Yun Low
Journal:  Int J Environ Res Public Health       Date:  2021-06-01       Impact factor: 3.390

6.  Predisposition to insulin resistance and obesity due to staple consumption of rice: Amylose content versus germination status.

Authors:  Bilyaminu Abubakar; Norhasnida Zawawi; Abdul Rahman Omar; Maznah Ismail
Journal:  PLoS One       Date:  2017-07-20       Impact factor: 3.240

7.  Improvement of germinated brown rice quality with autoclaving treatment.

Authors:  Chuanying Ren; Bin Hong; Xianzhe Zheng; Liqun Wang; Yinglei Zhang; Lijun Guan; Xinmiao Yao; Wengong Huang; Ye Zhou; Shuwen Lu
Journal:  Food Sci Nutr       Date:  2020-02-19       Impact factor: 2.863

8.  Clinacanthus nutans Leaves Extract Reverts Endothelial Dysfunction in Type 2 Diabetes Rats by Improving Protein Expression of eNOS.

Authors:  Ahmad Khusairi Azemi; Siti Safiah Mokhtar; Aida Hanum Ghulam Rasool
Journal:  Oxid Med Cell Longev       Date:  2020-08-14       Impact factor: 6.543

9.  Clinacanthus nutans attenuates atherosclerosis progression in rats with type 2 diabetes by reducing vascular oxidative stress and inflammation.

Authors:  Ahmad Khusairi Azemi; Siti Safiah Mokhtar; Sharifah Emilia Tuan Sharif; Aida Hanum Ghulam Rasool
Journal:  Pharm Biol       Date:  2021-12       Impact factor: 3.503

10.  A Cardiac Protection of Germinated Brown Rice During Cardiopulmonary Bypass Surgery and Simulated Myocardial Ischemia.

Authors:  Kanokwan Demeekul; Pratch Sukumolanan; Ratikorn Bootcha; Chattida Panprom; Soontaree Petchdee
Journal:  J Inflamm Res       Date:  2021-07-15
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.