Skip to main content
Evidence-based Complementary and Alternative Medicine : eCAM logoLink to Evidence-based Complementary and Alternative Medicine : eCAM
. 2023 Apr 18;2023:6139667. doi: 10.1155/2023/6139667

Black and Yellow Soybean Consumption Prevents High-Fat Diet-Induced Obesity by Regulating Lipid Metabolism in C57BL/6 Mice

Eun Woo Jeong 1, Sanjeev Kumar Dhungana 2, Yun Sun Yang 1, Youjin Baek 1, Jeong-Hyun Seo 2, Beom-Kyu Kang 2, Chan-Sik Jung 2, Sang-Ik Han 2, Hyeon Gyu Lee 1,
PMCID: PMC10129420  PMID: 37114142

Abstract

To evaluate the antiobesity effects of yellow and black soybean, C57BL/6 mice were provided with a normal diet, high-fat diet, HFD-containing yellow soybean powder (YS), and black soybean powder (BS) for six weeks. Compared with the HFD group, both YS and BS decreased body weight by 30.1% and 37.2% and fat in tissue by 33.3% and 55.8%, respectively. Simultaneously, both soybeans significantly reduced the serum triglyceride and total cholesterol levels and regulated the lipogenic mRNA expressions of Pparγ, Acc, and Fas genes in the liver, supporting reduced body adiposity. Furthermore, BS significantly increased Pgc-1α and Ucp1 mRNA expression levels in epididymal adipose tissue, indicating thermogenesis is the key mechanism of BS. Taken together, our findings suggest that both soybeans prevent high-fat diet-induced obesity in mice by regulating lipid metabolism, and BS, in particular, has a greater antiobesity potential than YS.

1. Introduction

Obesity, defined as a state of excessive fat accumulation, is a major public health issue with over 2.2 billion people worldwide being overweight or obese [1]. Obesity contributes to elevate healthcare costs, lost productivity, and adverse social and economic outcomes [2]. Moreover, many studies have confirmed that obesity is strongly associated with metabolic syndrome, including type 2 diabetes, dyslipidemia, hypertension, and cardiovascular disease [35]. Therefore, obesity threatens public health and contributes to a decrease in quality of life and an increase in mortality.

Currently, various medicines, such as orlistat, lorcaserin, and sibutramine, have been used to treat obesity by controlling appetite, lipid absorption, hormone action, and lipid metabolism [6]. Nevertheless, synthetic antiobesity drugs may have undesirable side effects, such as vomiting, insomnia, dry mouth, stomachache, and headache [7]. Thus, preventing and treating obesity is still challenging. It has been suggested that the most effective way to combat obesity is to make appropriate diet and lifestyle changes, but it is difficult to change long-term lifestyles. Thus, dietary intervention with functional foods for preventing or treating obesity has been highlighted [8, 9].

Soybean (Glycine max) has been widely consumed in Asian countries. Soybeans contain a high amount of protein, carbohydrates, dietary fiber, vitamins and minerals, and phytochemicals, including isoflavones (i.e., daidzein, genistein, and glycitein), saponins, phenolic acids, and anthocyanin [10]. Due to the various components of soybean, previous studies have reported its health-promoting effects such as anti-inflammatory, antihypertensive, and cardiovascular protective activities [11]. Moreover, prior studies have revealed the antiobesity effects of using soybean in different forms and its components. For instance, black soybean seed coat extract inhibited excessive fat accumulation in mice fed high-fat diet [12, 13]. In addition, soybean peptides ameliorated obesity in obese mice and rats via reduction of endoplasmic reticulum stress, upregulation of leptin-like signaling, or AMP-activated protein kinase activation [14, 15]. Moreover, anthocyanin in black soybean prevents obesity through modulating appetite regulatory mechanisms or alleviating oxidative stress and inflammation [16, 17]. Overall, the components of soybean have an ant-obesity activity; however, the effects of soybean, as a whole food, on high-fat diet-induced obesity is not yet clear and still needs to be figured out. Therefore, we aimed to evaluate the antiobesity effects of a soybean-enriched diet and the possible mechanism. We also compared the effects of yellow soybean (as a conventional soybean) and black soybean on high-fat diet-induced obesity.

2. Materials and Methods

2.1. Experimental Animals and Diets

Four-week-old male C57BL/6 mice were purchased from Koatech (Pyeongtaek, Korea). The mice were housed in a controlled condition (22 ± 1°C, 50 ± 10% relative humidity, 150–300 lux light, and 12 h day-night cycle). The mice were given free access to food and water. The animals were acclimatized for one week and divided into four groups (n = 10): normal diet (ND), high-fat diet (HFD), HFD mixed with yellow soybean powder (YS), and HFD mixed with black soybean powder (BS). Yellow soybean (Glycine max L., Daewon) and black soybean (Glycine max L., Cheongja#5) were obtained from the National Institute of Crop Science (Rural Development Administration, Miryang, Korea). The ND group was fed with a normal diet (Pico-Lab rodent diet 20 5053, Lab diet, St. Louis, MO, USA). Other groups were fed with a high-fat diet (D12492, 60% kcal from fat) (Research Diets, New Brunswick, NJ, USA) and its modification. For YS and BS groups, a high-fat diet was formulated with 50% (w/w) of each soybean powder and adjusted using the proximate composition of yellow and black soybean powder with protein (39.4% and 40.7%), carbohydrates (25.5% and 25.2%), and fat contents (18.9% and 17.8%), respectively. The mixture percentage of soybean was determined by the previous studies [18, 19]. All groups were supplemented with each diet for six weeks (Table S1). The nutritional composition of yellow and black soybean was provided by the National Institute of Crop Science in Rural Development Administration (Miryang, Korea) (Table S2). The animal experiments were approved by the Institutional Animal Care and Use Committee (IACUC) of Hanyang University (HY-IACUC-2020-0169A).

2.2. Growth Performance

The body weight and food intake were measured once and twice a week, respectively. The food efficiency ratio (FER) was calculated as the ratio of body weight gain to the total food intake (FER = body weight gain (g)/food intake (g) × 100).

2.3. Body Composition Analysis and Organ Weights

At the end of the experimental period, the mice were fasted for 12 h and anesthetized with a mixture of 10 mg/kg bw of xylazine (Bayer Korea, Seoul, Korea) and 100 mg/kg bw of ketamine (Yuhan Co., Seoul, Korea). The fat in tissue (%) and lean mass (%) were measured using dual-energy X-ray absorptiometry (DEXA, Medikors, Seongnam, Korea). The lean mass (%) was calculated as the ratio of lean mass to body weight. The liver and epididymal adipose tissue were immediately isolated, weighed, and stored at −80°C for further analysis.

2.4. Blood Biomarkers Analysis

Blood was collected from the retro-orbital plexus and immediately centrifuged at 3,000 × g for 15 min to obtain a serum. In addition, the liver function indicators such as aspartate transaminase (AST) and alanine transaminase (ALT) in the serum were measured using a commercial kit (Asan Pharmaceutical, Seoul, Korea) following the manufacturer's instructions. The serum triglyceride (TG) and total cholesterol (TC) were analyzed by the automatic blood biochemical analyzer (Fujifilm, Tokyo, Japan).

2.5. Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) Analysis

The total RNA from the liver and epididymal adipose tissue was obtained using Trizol (Ambion, Austin, TX, USA). The cDNA was synthesized with purified RNA using a Prime Script ™ RT reagent kit (Takara, Shiga, Japan). The PCR amplification was performed with 2 μL of the sample mixed with cDNA, primers, and SYBR green using the CFX96TM RT-PCR detection system (Bio-Rad, Hercules, CA, USA). Each value was normalized to 36b4, and the differences in mRNA expression levels of the genes were calculated using the delta-delta threshold cycle method compared with the HFD group. The sequences of the primer used in this study are presented in Table 1.

Table 1.

qRT-PCR primer sequences used in mRNA expression analysis.

Gene Forward (5′-3′) Reverse (5′-3′)
Pparγ CGCTGATGCACTGCCTATGA AGAGGTCCACAGAGCTGATTCC
Srebp-1c GAACAGACACTGGCCGAGAT GAGGCCAGAGAAGCAGAAGAG
Acc GCCTCTTCCTGACAAACGAG TAAGGACTGTGCCTGGAACC
Fas AGCACTGCCTTCGGTTCAGTC AAGAGCTGTGGAGGCCACTTG
Pgc-1α TATGGAGTGACATAGAGTGTGCT CCACTTCAATCCACCCAGAAAG
Ucp1 GGCAAAAACAGAAGGATTGC TAAGCCGGCTGAGATCTTGT
36b4 TCTAGGACCCGAGAAGACCTC GTTGTCAAACACCTGCTGGAT

2.6. Statistical Analysis

All data are presented as the mean ± standard deviation. The statistical comparisons among the groups were performed one-way ANOVA with Tukey's post-hoc tests using the Prism 9 program (GraphPad Software, La Jolla, CA, USA). p < 0.05 was considered to be statistically significant.

3. Results

3.1. Growth Performance

The growth performance of mice is presented in Table 2. The final body weight, weight gain, and food efficiency ratio in the HFD group extremely increased compared with those in the ND group (p < 0.05). Both soybean seeds dramatically decreased body weight, weight gain, and food efficiency ratio compared with the HFD group without alteration of food and energy intake (p < 0.05). Interestingly, the BS group showed lower body weight, weight gain, and feed efficiency ratio than those in the YS group (p < 0.05). Thus, the BS intake effectively prevented weight gain induced by a high-fat diet compared to YS.

Table 2.

Growth performance of C57BL/6 mice fed with a high-fat diet mixed with yellow or black soybean powder.

Group ND HFD YS BS
Initial body weight (g) 20.98 ± 0.59 20.63 ± 0.78 20.55 ± 0.79 20.63 ± 0.81
Final body weight (g) 26.61 ± 1.88bc 39.6 ± 1.10a 27.7 ± 0.45b 24.9 ± 1.67c
Body weight gain (g) 5.89 ± 1.11bc 18.80 ± 0.67a 6.92 ± 1.35b 4.23 ± 2.19c
Feed intake (g/day) 3.18 ± 0.27 2.84 ± 0.04 2.55 ± 0.32 2.80 ± 0.22
Energy intake (kcal/day) 10.84 ± 0.24 13.79 ± 0.17 13.11 ± 1.64 14.39 ± 0.13
Feed efficiency ratio 4.41 ± 0.82c 15.73 ± 0.60a 6.68 ± 1.05b 3.59 ± 1.80c

Data are expressed as mean ± standard deviation (n = 8). a–cThe values with different lowercase letters in the same column represent significant differences by Tukey's post-hoc test (p < 0.05). ND: normal diet (13% kcal from fat); HFD: high-fat diet (60% kcal from fat); YS: high-fat diet mixed with yellow soybean powder; BS: high-fat diet mixed with black soybean powder.

3.2. Body Composition

The DEXA analysis was performed to assess whether weight loss in soybean-fed groups was owing to fat loss (Figure 1). The YS and BS groups were found to remarkably reduce fat in tissue (%) compared with the HFD group (p < 0.05). Besides, lean mass (%) was significantly (p < 0.05) increased by 23.6% and 36.2% in YS and BS groups compared with the HFD group, respectively. The BS group, in particular, had significantly lower fat in tissue and higher lean mass than the YS group (p < 0.05).

Figure 1.

Figure 1

(a) Fat in tissue (%), (b) lean mass (%), and (c) body composition of C57BL/6 mice fed with a high-fat diet mixed with yellow or black soybean powders. Red and green areas represent fat content and lean body content, respectively. Data are expressed as mean ± standard deviation (n = 8). (a–d)Different lowercase letters above the bars represent significant differences by Tukey's post-hoc test (p < 0.05). ND: normal diet (13% kcal from fat); HFD: high-fat diet (60% kcal from fat); YS: high-fat diet mixed with yellow soybean powder; BS: high-fat diet mixed with black soybean powder.

3.3. Liver and Epididymal Adipose Tissue Weight

The morphology and weights of liver and epididymal adipose tissue are shown in Figure 2. When the liver of the HFD group was observed immediately after the organ harvest, it was pale red compared to the other groups, and it had the fat dispersed, indicating a typical fatty liver; however, YS and BS reversed the liver color similar to the ND group. The liver and epididymal adipose tissue weights of the HFD group (1,355 mg and 2,367 mg) were significantly greater than those of the ND group (1,041 mg and 543 mg) (p < 0.05). The liver and epididymal adipose tissue weights of the YS (964.1 mg and 1,087 mg) and BS (970.2 mg and 543.1 mg) groups were remarkably lower compared with those of the HFD group (p < 0.05). Furthermore, the BS group showed significantly lower epididymal adipose tissue weight than the YS group, similar to the ND group (p < 0.05).

Figure 2.

Figure 2

(a) Representative liver morphology photos, (b) liver weight, (c) representative epididymal adipose tissue morphology photos, and (d) epididymal adipose tissue weight of C57BL/6 mice fed with a high-fat diet mixed with yellow or black soybean powders. Data are expressed as mean ± standard deviation (n = 8). (a–c) Different lowercase letters above the bars represent significant differences by Tukey's post-hoc test (p < 0.05). ND: normal diet (13% kcal from fat); HFD: high-fat diet (60% kcal from fat); YS: high-fat diet mixed with yellow soybean powder; BS: high-fat diet mixed with black soybean powder.

3.4. Blood Biomarker Profiles

The hepatotoxicity index and lipid profiles in the serum are shown in Table 3. The concentrations of aspartate transaminase (AST) and alanine transaminase (ALT) were notably increased in the HFD group compared with the ND group (p < 0.05). The AST level was significantly reduced in the BS group and the ALT level decreased in both soybean groups compared with the HFD group (p < 0.05). Also, the triglyceride (TG) and total cholesterol (TC) levels in the HFD group were higher than those in the ND group (p < 0.05). Both YS and BS groups showed a significant decrement in TG and TC levels compared with the HFD group (p < 0.05). Overall, there were no significant differences in the blood biomarker profiles between the YS and BS groups.

Table 3.

Blood biomarker profiles in C57BL/6 mice fed with a high-fat diet mixed with yellow or black soybean powders.

Group ND HFD YS BS
AST (IU/L) 6.60 ± 1.78b 8.72 ± 1.11a 7.38 ± 2.29ab 6.54 ± 0.81b
ALT (IU/L) 11.70 ± 3.21b 15.48 ± 2.91a 8.79 ± 1.34b 8.64 ± 2.22b
TG (mg/dL) 84.0 ± 5.03c 178.9 ± 2.85a 113.8 ± 9.31b 122.4 ± 13.46b
TC (mg/dL) 76.8 ± 4.89c 163.3 ± 6.56a 99.8 ± 6.43b 106.8 ± 9.00b

Data are expressed as mean ± standard deviation (n = 8). (a–c)The values with different lowercase letters in the same column represent significant differences by Tukey's post-hoc test (p < 0.05). ND: normal diet (13% kcal from fat); HFD: high-fat diet (60% kcal from fat); YS: high-fat diet mixed with yellow soybean powder; BS: high-fat diet mixed with black soybean powder.

3.5. Gene Expression in Liver and Epididymal Adipose Tissues

To explore the mechanism underlying the antiobesity effects of YS and BS, the mRNA expression level of hepatic lipogenesis associated genes in the liver (Figure 3(a)) and thermogenesis associated genes in epididymal adipose tissue (Figure 3(b)) were measured by the qRT-PCR method. We determined the mRNA expression levels of Pparγ, Srebp-1c, Acc, and Fas, which are transcription factors and enzymes involved in de novo lipogenesis. Compared with the ND group, the HFD group significantly upregulated Pparγ, Acc, and Fas (p < 0.05). The YS and BS groups showed remarkably decreased expression levels of Pparγ, Acc, and Fas compared with the HFD group (p < 0.05). Otherwise, Srebp-1c expression levels were not significantly different among all groups. Overall, there were no differences in mRNA expression levels of lipogenic genes between the YS and BS groups. Interestingly, Pgc-1α and Ucp1 mRNA expression levels related to thermogenesis were significantly (p < 0.05) increased in the BS group compared with those of the HFD group; however, Pgc-1α and Ucp1 mRNA expression levels were not significantly altered in the YS group.

Figure 3.

Figure 3

mRNA expression levels related to (a) lipogenesis in the liver, (b) thermogenesis in the epididymal adipose tissues of C57BL/6 mice fed with a high-fat diet mixed with yellow or black soybean powders. Data are expressed as mean ± standard deviation (n = 8). (a–c)Different lowercase letters above the bars represent significant differences by Tukey's post-hoc test (p < 0.05). ND: normal diet (13% kcal from fat); HFD: high-fat diet (60% kcal from fat); YS: high-fat diet mixed with yellow soybean powder; BS: high-fat diet mixed with black soybean powder.

4. Discussion

In this study, the authors assessed the effects of YS and BS on adiposity, biochemical parameters, and the regulation of hepatic and adipose tissue gene expressions in mice. The current study demonstrated that the YS and BS groups had reduced adiposity and improved blood biochemical parameters related to hepatotoxicity and lipid profiles. In total, these data demonstrated that both soybeans' consumption can prevent HFD-induced obesity in mice.

Interestingly, the BS group was more effective in preventing HFD-induced obesity than the YS group. BS significantly decreased body weight gain, FER, fat in tissue (%), and epididymal adipose tissue, and it increased lean mass (%) compared with YS. BS has been reported to have various health-promoting effects due to its high contents of polyphenols such as anthocyanin, soyasaponin, and isoflavones. According to previous studies, black soybean seed coat contains high contents of anthocyanin (cyanidin-3-glucoside, cyanidin-3-O-galactoside, and peonidin-3-O-glucoside) compared with yellow soybean [20, 21]. In addition, black soybean (Cheongja) had higher contents of soyasaponins and isoflavones than yellow soybean (Daewon), which are the same cultivars used in this study [22]. Previous studies have shown that anthocyanin inhibited fat accumulation in mice fed HFD [13, 17]. Cyanidin-3-glucoside, the major anthocyanin in black soybean, decreased body weight and white adipose tissue weight in db/db mice [23]. Besides, soyasaponin significantly decreased body weight by 7% and relative adipose tissue weight by 35% with suppressing lipogenesis in epididymal adipose tissue of obese mice [24]. The high content of isoflavones with soy protein diet significantly reduced body weight and total body fat compared with low content of isoflavones with soy protein diet in the obese ZDF rats [25]. In particular, daidzein, one of the main soy isoflavones, significantly lowered weight gain with high leptin and low adiponectin levels in HFD-induced obese rats [26]. Taken together, our results suggest that BS exhibits more powerful antiobesity effects due to different phytochemical profiles compared with YS.

Obesity is associated with lipid metabolism abnormality since fatty acids from high-fat intake enter the liver to synthesize TG, which can lead to fatty liver and hyperlipidemia. Consumption of large quantities of HFD results in fat accumulation in the liver, thereby damaging it and potentially exposing it to nonalcoholic fatty liver disease [3, 27]. Hepatic lipid accumulation can be increased by activation of transcription factors such as Pparγ and Srebp-1c [28, 29]. Pparγ induces the expression of genes such as Fabp4, which controls fatty acid uptake and TG synthesis in the liver. Srebp-1c also regulates the genes such as Acc and Fas that control fatty acid and TG synthesis. The current study shows that supplementation with both soybeans significantly decreased the liver weight and serum ALT, TG, and TC levels. Moreover, both soybeans suppressed the mRNA expression levels of Pparγ, Acc, and Fas, supporting reduced body adiposity. These results are associated with a previous study reporting that dietary soy protein is effective in reducing the activities of hepatic lipogenic enzymes and inhibiting the hepatic fatty acid synthesis in rats [30]. In particular, soy β-conglycinin attenuates fatty liver and hyperlipidemia caused by a high-fat or high-cholesterol diet in mice and rats [3133]. Soy β-conglycinin also lowered liver weight and serum TG through a decrease of fatty acid synthase activity and an augment of fecal TG excretion in KKAy mice [34]. However, the mRNA expression of Srebp-1c was not affected by the supplement of both soybeans. It may be due to the fact that Srebp-1c is a gene whose activity is modulated by proteolytic cleavage and posttranslational modification, thus mRNA expression of Srebp-1c may not always support the activity of Srebp-1c, as previously reported [3537]. Taken together, both soybeans significantly decreased liver weight and serum lipid profiles. Furthermore, the down-regulation of lipogenic mRNA expression could be attributed to the reduction in adiposity in YS and BS groups. These results suggest that both soybeans may have a beneficial effect on obesity by improving serum lipid profiles and modulating lipid metabolism.

Recently, the browning of the white adipose tissue has been suggested to be promising strategy for preventing or treating obesity in that it increases energy expenditure by heat production [38]. Ucp1 is a transporter in the inner membrane of mitochondria that uncouples electron transport from ATP production, resulting in producing energy as heat [39]. The increased expression of Ucp1 in white adipose tissue could be involved in the browning process [40, 41]. Besides, Pgc-1α, a coactivator of Pparγ, has been identified that stimulates mitochondrial biogenesis and cellular respiration by elevating the expression of Ucp1 [42]. The HFD downregulates Pgc-1α and Ucp1 mRNA expression in adipose tissue, resulting in decreased energy expenditure and increased diet-induced obesity. Notably, we found that BS significantly up-regulated Pgc-1α and Ucp1 mRNA expression level, indicating thermogenesis is one of the key anti-obesity mechanism of BS. These findings were consistent with the previous reports that black soybean seed coats up-regulated Pgc-1α and Ucp1 in adipose tissue [12, 43]. Additionally, black soybean seed coat increased Ucp2 protein expression level compared with yellow soybean seed coat in peritesticular fat of HFD-induced mice, although Ucp2 expression was not measured in this study [44]. Taken together, these results can provide convincing evidence that BS increased the mRNA expression related to thermogenesis in adipose tissue, which may be a reason for its stronger antiobesity effects compared to the YS group.

5. Conclusions

In conclusion, our study demonstrated that both soybeans prevented HFD-induced obesity and improved its related parameters in mice, but overall antiobesity effects of BS were stronger than YS. Mechanism studies have shown that both soybeans decreased lipogenic mRNA expression, supporting reduced body adiposity. In addition, BS promoted the mRNA expressions related to thermogenesis in epididymal adipose tissue, indicating that thermogenesis is the one of the key mechanism of BS. Taken together, these results suggest that both soybeans prevent HFD-induced obesity and BS exerts powerful antiobesity effects compared with YS. Furthermore, this study could be important to greatly expand our understanding of the nutraceutical potential of soybean.

Acknowledgments

This work was supported by “Cooperative Research Program for Agriculture Science and Technology Development (Project no. PJ01483902)” Rural Development Administration, Republic of Korea.

Abbreviations

Acc:

Acetyl-CoA carboxylase

Fabp4:

Fatty acid-binding protein 4

Fas:

Fatty acid synthase

Pgc-1α:

Peroxisome proliferator-activated receptor gamma coactivator 1 alpha

Pparγ:

Peroxisome proliferator-activated receptor gamma

Srebp-1c:

Sterol regulatory element binding protein-1c

Ucp:

Uncoupling protein.

Data Availability

The data that support the findings of this study are available on request from the corresponding author.

Ethical Approval

The animal study was executed following the National Institutes of Health guidelines. The animal experiments were approved by the Institutional Animal Care and Use Committee (IACUC) of Hanyang University (HY-IACUC-2020-0169A).

Disclosure

Eun Woo Jeong and Sanjeev Kumar Dhungana are co-first authors.

Conflicts of Interest

The authors declare that there are no conflicts of interest to declare.

Authors' Contributions

E.W.J. was responsible for investigation, methodology, data curation, formal analysis, visualization, and writing the original draft, S.K.D. was responsible for writing the original draft, Y.S.Y. was responsible for data curation, formal analysis, and validation, Y.B. was responsible for data curation, formal analysis, and validation; J.-H.S. was responsible for conceptualization, investigation, and project administration, B.-K.K. was responsible for conceptualization and investigation, C.-S.J. was responsible for conceptualization and investigation, S.-I.H. was responsible for conceptualization, investigation, and methodology, and H.G.L. was responsible for conceptualization, reviewing and editing the manuscript, supervision, project administration, and funding acquisition. All authors have read and agreed to the published version of the manuscript. Eun Woo Jeong and Sanjeev Kumar Dhungana contributed equally to this work.

Supplementary Materials

Supplementary Materials

Table S1. Composition of experimental diets (g/100 g diet); Table S2. Chemical composition of yellow and black soybeans.

References

  • 1.World Health Organization. Fact sheet: obesity and overweight. 2020. https://www.who.int/en/news-room/fact-sheets/detail/obesity-and-overweight .
  • 2.Lehnert T., Sonntag D., Konnopka A., Riedel-Heller S., König H.-H. Economic costs of overweight and obesity. Best Practice and Research Clinical Endocrinology and Metabolism . 2013;27(2):105–115. doi: 10.1016/j.beem.2013.01.002. [DOI] [PubMed] [Google Scholar]
  • 3.Bessone F., Razori M. V., Roma M. G. Molecular pathways of nonalcoholic fatty liver disease development and progression. Cellular and Molecular Life Sciences . 2019;76(1):99–128. doi: 10.1007/s00018-018-2947-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Lois K., Young J., Kumar S. Obesity; epiphenomenon or cause of metabolic syndrome? International Journal of Clinical Practice . 2008;62(6):932–938. doi: 10.1111/j.1742-1241.2008.01773.x. [DOI] [PubMed] [Google Scholar]
  • 5.Van Gaal L. F., Mertens I. L., De Block C. E. Mechanisms linking obesity with cardiovascular disease. Nature . 2006;444(7121):875–880. doi: 10.1038/nature05487. [DOI] [PubMed] [Google Scholar]
  • 6.Daneschvar H. L., Aronson M. D., Smetana G. W. FDA-approved anti-obesity drugs in the United States. The American Journal of Medicine . 2016;129(8):879.e1–879.e6. doi: 10.1016/j.amjmed.2016.02.009. [DOI] [PubMed] [Google Scholar]
  • 7.Kim G. W., Lin J. E., Blomain E. S., Waldman S. A. Antiobesity pharmacotherapy: new drugs and emerging targets. Clinical Pharmacology and Therapeutics . 2013;95(1):53–66. doi: 10.1038/clpt.2013.204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Konstantinidi M., Koutelidakis A. E. Functional foods and bioactive compounds: a review of its possible role on weight management and obesity’s metabolic consequences. Medicine . 2019;6(3):p. 94. doi: 10.3390/medicines6030094. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Venkatakrishnan K., Chiu H.-F., Wang C.-K. Extensive review of popular functional foods and nutraceuticals against obesity and its related complications with a special focus on randomized clinical trials. Food and Function . 2019;10(5):2313–2329. doi: 10.1039/c9fo00293f. [DOI] [PubMed] [Google Scholar]
  • 10.Isanga J., Zhang G.-N. Soybean bioactive components and their implications to health—a review. Food Reviews International . 2008;24(2):252–276. doi: 10.1080/87559120801926351. [DOI] [Google Scholar]
  • 11.Ramdath D. D., Padhi E. M., Sarfaraz S., Renwick S., Duncan A. M. Beyond the cholesterol-lowering effect of soy protein: a review of the effects of dietary soy and its constituents on risk factors for cardiovascular disease. Nutrients . 2017;9(4):p. 324. doi: 10.3390/nu9040324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Kanamoto Y., Yamashita Y., Nanba F., et al. A black soybean seed coat extract prevents obesity and glucose intolerance by up-regulating uncoupling proteins and down-regulating inflammatory cytokines in high-fat diet-fed mice. Journal of Agricultural and Food Chemistry . 2011;59(16):8985–8993. doi: 10.1021/jf201471p. [DOI] [PubMed] [Google Scholar]
  • 13.Kim S. Y., Wi H.-R., Choi S., Ha T. J., Lee B. W., Lee M. Inhibitory effect of anthocyanin-rich black soybean testa (Glycine max (L.) Merr.) on the inflammation-induced adipogenesis in a DIO mouse model. Journal of Functional Foods . 2015;14:623–633. doi: 10.1016/j.jff.2015.02.030. [DOI] [Google Scholar]
  • 14.Jang E., Moon J., Ko J., et al. Novel black soy peptides with antiobesity effects: activation of leptin-like signaling and AMP-activated protein kinase. International Journal of Obesity . 2008;32(7):1161–1170. doi: 10.1038/ijo.2008.60. [DOI] [PubMed] [Google Scholar]
  • 15.Jang E.-H., Ko J. H., Ahn C.-W., et al. In vivo and in vitro application of black soybean peptides in the amelioration of endoplasmic reticulum stress and improvement of insulin resistance. Life Sciences . 2010;86(7-8):267–274. doi: 10.1016/j.lfs.2009.12.012. [DOI] [PubMed] [Google Scholar]
  • 16.Badshah H., Ullah I., Kim S. E., Kim T. H., Lee H. Y., Kim M. O. Anthocyanins attenuate body weight gain via modulating neuropeptide Y and GABAB1 receptor in rats hypothalamus. Neuropeptides . 2013;47(5):347–353. doi: 10.1016/j.npep.2013.06.001. [DOI] [PubMed] [Google Scholar]
  • 17.Wu T., Guo X., Zhang M., Yang L., Liu R., Yin J. Anthocyanins in black rice, soybean and purple corn increase fecal butyric acid and prevent liver inflammation in high fat diet-induced obese mice. Food and Function . 2017;8(9):3178–3186. doi: 10.1039/c7fo00449d. [DOI] [PubMed] [Google Scholar]
  • 18.Abdel-Aleem G. A., Shafik N. M., El-Magd M. A., Mohamed D. A. Soya bean rich diet is associated with adult male rat aggressive behavior: relation to RF amide-related peptide 3-aromatase-neuroestrogen pathway in the brain. Metabolic Brain Disease . 2019;34(4):1103–1115. doi: 10.1007/s11011-019-00431-2. [DOI] [PubMed] [Google Scholar]
  • 19.Nordentoft I., Jeppesen P., Hong J., Abudula R., Hermansen K. Increased insulin sensitivity and changes in the expression profile of key insulin regulatory genes and beta cell transcription factors in diabetic KKAy-mice after feeding with a soy bean protein rich diet high in isoflavone content. Journal of Agricultural and Food Chemistry . 2008;56(12):4377–4385. doi: 10.1021/jf800504r. [DOI] [PubMed] [Google Scholar]
  • 20.Zhou R., Cai W., Xu B. Phytochemical profiles of black and yellow soybeans as affected by roasting. International Journal of Food Properties . 2017;20(12):3179–3190. doi: 10.1080/10942912.2017.1280678. [DOI] [Google Scholar]
  • 21.Žilić S., Akıllıoğlu H. G., Serpen A., Perić V., Gökmen V. Comparisons of phenolic compounds, isoflavones, antioxidant capacity and oxidative enzymes in yellow and black soybeans seed coat and dehulled bean. European Food Research and Technology . 2013;237(3):409–418. doi: 10.1007/s00217-013-2005-y. [DOI] [Google Scholar]
  • 22.Lee K.-S., Woo S.-Y., Lee M.-J., et al. Isoflavones and soyasaponins in the germ of Korean soybean [Glycine max (L.) Merr.] cultivars and their compound-enhanced BMP-2-induced bone formation. Appl Biol Chem . 2020;63:26–28. doi: 10.1186/s13765-020-00508-y. [DOI] [Google Scholar]
  • 23.Matsukawa T., Inaguma T., Han J., Villareal M. O., Isoda H. Cyanidin-3-glucoside derived from black soybeans ameliorate type 2 diabetes through the induction of differentiation of preadipocytes into smaller and insulin-sensitive adipocytes. The Journal of Nutritional Biochemistry . 2015;26(8):860–867. doi: 10.1016/j.jnutbio.2015.03.006. [DOI] [PubMed] [Google Scholar]
  • 24.Tsai W. T., Nakamura Y., Akasaka T., et al. Soyasaponin ameliorates obesity and reduces hepatic triacylglycerol accumulation by suppressing lipogenesis in high‐fat diet‐fed mice. Journal of Food Science . 2021;86(5):2103–2117. doi: 10.1111/1750-3841.15696. [DOI] [PubMed] [Google Scholar]
  • 25.Davis J., Higginbotham A., O’Connor T., et al. Soy protein and isoflavones influence adiposity and development of metabolic syndrome in the obese male ZDF rat. Annals of Nutrition &amp;amp; Metabolism . 2007;51(1):42–52. doi: 10.1159/000100820. [DOI] [PubMed] [Google Scholar]
  • 26.Crespillo A., Alonso M., Vida M., et al. Reduction of body weight, liver steatosis and expression of stearoyl‐CoA desaturase 1 by the isoflavone daidzein in diet‐induced obesity. British Journal of Pharmacology . 2011;164(7):1899–1915. doi: 10.1111/j.1476-5381.2011.01477.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Samuel V. T., Shulman G. I. Nonalcoholic fatty liver disease as a nexus of metabolic and hepatic diseases. Cell Metabolism . 2018;27(1):22–41. doi: 10.1016/j.cmet.2017.08.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Lee Y. J., Ko E. H., Kim J. E., et al. Nuclear receptor PPARγ-regulated monoacylglycerol O-acyltransferase 1 (MGAT1) expression is responsible for the lipid accumulation in diet-induced hepatic steatosis. Proceedings of the National Academy of Sciences . 2012;109(34):13656–13661. doi: 10.1073/pnas.1203218109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Rui L. Energy metabolism in the liver. Comprehensive Physiology . 2014;4(1):177–197. doi: 10.1002/cphy.c130024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Iritani N., Nagashima K., Fukuda H., Katsurada A., Tanaka T. Effects of dietary proteins on lipogenic enzymes in rat liver. The Journal of Nutrition . 1986;116(2):190–197. doi: 10.1093/jn/116.2.190. [DOI] [PubMed] [Google Scholar]
  • 31.Ferreira E. D. S., Silva M. A., Demonte A., Neves V. A. Soy β-conglycinin (7S globulin) reduces plasma and liver cholesterol in rats fed hypercholesterolemic diet. Journal of Medicinal Food . 2011;14(1-2):94–100. doi: 10.1089/jmf.2009.0204. [DOI] [PubMed] [Google Scholar]
  • 32.Wanezaki S., Tachibana N., Nagata M., et al. Soy β-conglycinin improves obesity-induced metabolic abnormalities in a rat model of nonalcoholic fatty liver disease. Obesity Research and Clinical Practice . 2015;9(2):168–174. doi: 10.1016/j.orcp.2014.03.005. [DOI] [PubMed] [Google Scholar]
  • 33.Yamazaki T., Kishimoto K., Miura S., Ezaki O. Dietary β-conglycinin prevents fatty liver induced by a high-fat diet by a decrease in peroxisome proliferator-activated receptor γ2 protein. The Journal of Nutritional Biochemistry . 2012;23(2):123–132. doi: 10.1016/j.jnutbio.2010.11.006. [DOI] [PubMed] [Google Scholar]
  • 34.Moriyama T., Kishimoto K., Nagai K., et al. Soybean β-conglycinin diet suppresses serum triglyceride levels in normal and genetically obese mice by induction of β-oxidation, downregulation of fatty acid synthase, and inhibition of triglyceride absorption. Bioscience, Biotechnology, and Biochemistry . 2004;68(2):352–359. doi: 10.1271/bbb.68.352. [DOI] [PubMed] [Google Scholar]
  • 35.Ferre P., Foufelle F. Hepatic steatosis: a role for de novo lipogenesis and the transcription factor SREBP‐1c. Diabetes, Obesity and Metabolism . 2010;12:83–92. doi: 10.1111/j.1463-1326.2010.01275.x. [DOI] [PubMed] [Google Scholar]
  • 36.Li Y., Xu S., Mihaylova M. M., et al. AMPK phosphorylates and inhibits SREBP activity to attenuate hepatic steatosis and atherosclerosis in diet-induced insulin-resistant mice. Cell Metabolism . 2011;13(4):376–388. doi: 10.1016/j.cmet.2011.03.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Yellaturu C. R., Deng X., Park E. A., Raghow R., Elam M. B. Insulin enhances the biogenesis of nuclear sterol regulatory element-binding protein (SREBP)-1c by posttranscriptional down-regulation of Insig-2A and its dissociation from SREBP cleavage-activating protein (SCAP)· SREBP-1c complex. Journal of Biological Chemistry . 2009;284(46):31726–31734. doi: 10.1074/jbc.m109.050914. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Bargut T. C. L., Souza-Mello V., Aguila M. B., Mandarim-de-Lacerda C. A. Browning of white adipose tissue: lessons from experimental models. Hormone Molecular Biology and Clinical Investigation . 2017;31(1) doi: 10.1515/hmbci-2016-0051. [DOI] [PubMed] [Google Scholar]
  • 39.Argilés J. M., Busquets S., López-Soriano F. J. The role of uncoupling proteins in pathophysiological states. Biochemical and Biophysical Research Communications . 2002;293(4):1145–1152. doi: 10.1016/s0006-291x(02)00355-8. [DOI] [PubMed] [Google Scholar]
  • 40.Nedergaard J., Cannon B. The browning of white adipose tissue: some burning issues. Cell Metabolism . 2014;20(3):396–407. doi: 10.1016/j.cmet.2014.07.005. [DOI] [PubMed] [Google Scholar]
  • 41.Ricquier D., Bouillaud F. Mitochondrial uncoupling proteins: from mitochondria to the regulation of energy balance. The Journal of Physiology . 2000;529(1):3–10. doi: 10.1111/j.1469-7793.2000.00003.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Chouchani E. T., Kazak L., Spiegelman B. M. New advances in adaptive thermogenesis: UCP1 and beyond. Cell Metabolism . 2019;29(1):27–37. doi: 10.1016/j.cmet.2018.11.002. [DOI] [PubMed] [Google Scholar]
  • 43.Lee M., Lee M. The effects of C3G and D3G anthocyanin-rich black soybean on energy metabolism in beige-like adipocytes. Journal of Agricultural and Food Chemistry . 2020;68(43):12011–12018. doi: 10.1021/acs.jafc.0c04891. [DOI] [PubMed] [Google Scholar]
  • 44.Moriyasu Y., Fukumoto C., Wada M., et al. Validation of antiobesity effects of black soybean seed coat powder suitable as a food material: comparisons with conventional yellow soybean seed coat powder. Foods . 2021;10(4):p. 841. doi: 10.3390/foods10040841. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Materials

Table S1. Composition of experimental diets (g/100 g diet); Table S2. Chemical composition of yellow and black soybeans.

Data Availability Statement

The data that support the findings of this study are available on request from the corresponding author.


Articles from Evidence-based Complementary and Alternative Medicine : eCAM are provided here courtesy of Wiley

RESOURCES