1. Introduction
Obesity is recognized as a worldwide epidemic and is linked to a spectrum of health issues, such as fatty liver disease, type 2 diabetes mellitus (T2DM), hypertension, dyslipidemia, cardiovascular diseases, gallbladder disease, stroke, myocardial infarction, osteoarthritis, gout, mental disorders, and specific types of cancers [
1,
2]. Obesity is characterized by the conversion of excess energy from increased food intake into triglycerides (TGs), which are subsequently stored in adipose tissue, resulting in weight gain [
3].
Obesity is associated with the expansion of fat cells (adipocytes) and inflammation in the surrounding adipose tissues [
4]. Obesity-induced inflammation occurs because of continuous lipid accumulation within adipose tissues [
5]. The release of pro-inflammatory factors from adipose tissue actively contributes to insulin resistance and increases the risk of metabolic disorders associated with obesity [
6].
Several studies have suggested that natural products sourced from edible and medicinal plants have anti-obesity effects with minimal to no side effects [
7]. Various studies have been undertaken to hinder the accumulation of lipids and the synthesis of pro-inflammatory cytokines using various food materials [
8]. Ingredients commonly found in functional foods including curcumin, quercetin, resveratrol, extracts from Camellia sinensis, and green tea have been identified for their ability to mitigate lipid accumulation and inflammation associated with metabolic diseases such as obesity and hypertension [
9]. In situations of excessive fat accumulation, dysfunctional expanded adipocytes release different pro-inflammatory adipokines, including interleukin (IL) 6 and IL-1β and tumor necrosis factor (TNF) α [
10]. The expansion of adipocytes also increases adipocyte death and recruitment of macrophages to adipose tissue [
11]. During this process of adipocyte remodeling, numerous crown-like structures are formed, characterized by macrophages surrounding dead adipocytes [
12]. An increased prevalence of crown-like structures is associated with inflammation in adipose tissue [
13].
Fermented soybean-based foods contain a diverse array of bioactive compounds that have potential therapeutic effects, particularly for metabolic disorders [
14].
Chungkookjang, a traditional Korean fermented soybean product, is produced by fermenting boiled soybeans with rice straw, naturally incorporating
Bacillus subtilis into the fermentation process [
15]. During the fermentation of
chungkookjang, soy protein decomposes into amino acids through the action of potent proteolytic enzymes produced by
B. subtilis. This not only enhances digestibility but also contributes to an increase in the vitamin B2 and calcium content of the final product [
16]. The primary component found in the viscous mucous substance produced during fermentation is poly-γ-glutamic acid (γ-PGA), along with modified isoflavone compounds. PGA is recognized for its health benefits as it contributes to the absorption of calcium in the body [
17,
18]. As the primary physiologically active substance in soybeans, isoflavones play a crucial role in enhancing the absorption and bioavailability of nutrients derived from fermented soybeans [
19]. The fermentation process of
chungkookjang, leads to the generation of enzymes and diverse physiologically active substances that are not present in raw soybeans. These include dietary fibers, phospholipids, isoflavones, phenolic acids, saponins, trypsin inhibitors, and phytic acids [
20]. These components play a role in preventing atherosclerosis, heart disease and inflammation mediated by oxidative stress, obesity, diabetes, senile dementia, cancer, and osteoporosis [
21]. Moreover, these components exhibit various beneficial activities including lipid-lowering, blood pressure-lowering, thrombolytic, anti-mutagenic, immunostimulatory, anti-atopic dermatitis, anti-allergic, anti-androgenetic, antibacterial anti-alopecia, and anti-asthmatic effects, as well as properties conducive to skin enhancement [
22]. This study seeks to investigate the impact of γ-PGA potassium salt (PGA-K) produced by
B. subtilis chungkookjang on obesity associated with inflammation induced by a high-fat diet (HFD) mouse model and to assess the potential of PGA-K for obesity treatment.
2. Materials and Methods
2.1. Preparation of PGA-K
PGA-K was prepared by B. subtilis chungkookjang. B. subtilis chungkookjang (KCTC 0697BP) was inoculated into a preparative basic medium [GS basic medium with 5% l-glutamic acid, 5% glucose, 1%, (NH4)2SO4, 0.27% KH2PO4, 0.42% Na2HPO4·12H2O, 0.05% NaCl 0.05%, pH 6.8] and cultured at 150 rpm stirring rate, an aeration rate of 1vvm, and 37°C for 36 h. Then, 2N hydrochloric acid was added to the solution and stand at 10°C for 12 h to obtain γ-PGA precipitate. After 12h, the solution was filtered through a Nutsche filter, and the filtered PGA precipitate was thoroughly washed with distilled. γ-PGA has a molecular mass of 1–15,000 kDa, and separate experiments were performed on subfractions with different molecular masses. To obtain γ-PGA potassium salt, γ-PGA was solubilized in 5N KOH. The molecular mass of PGA-K was determined by gel permeation chromatography. Briefly, PGA-K solution was diluted with 0.1 M NaNO3 and injected into the gel permeation chromatograph equipped with a ViscoGel GMPWXL xl column (7.8 mm × 30 cm; Viscotek, Houston, TX, USA), which was equilibrated with 0.1 M NaNO3 at 40°C with a flow rate of 0.8 mL/min, and a Viscotek LR25 laser refractometer (Viscotek).
2.2. Animals
Four-week-old specific pathogen-free-grade male C57BL/6 mice were purchased from Damul Science (Daejeon, Korea) and acclimated for 1 week. During the study, the mice were accommodated in a mouse cage under controlled conditions of a 12-hour light/dark cycle at a temperature of 22°C ± 2°C and a relative humidity of 55% ± 5%. All experimental procedures were conducted with approval from the Animal Care Committee of Jeonju AgroBio-Materials Institute, Jeonju, Korea (approval number: JAMI IACUC 2023003) prior to the commencement of the study.
2.3. Experimental Groups
The mice were divided into five groups, normal group (N), the high-fat diet-induced obesity group (HFD), the positive control group (PC), and the PGA-K administration group (PGA-K), each consisting of 7 ~ 8 mice. To induce obesity, the HFD, PC, and PGA-K groups were fed a 60% kcal fat diet for 12 weeks, and the N group was fed a normal diet (10% kcal fat). The PC and PGA-K groups were orally administered garcinia (300 mg/kg) and PGA-K (100 mg/kg and 200 mg/kg), respectively, for 12 weeks. N and HFD groups were administered vehicle (distilled water). The N and PC groups were consisted 7 mice per group, and the HFD and PGA-K groups were consisted 8 mice per group.
2.4. Evaluation of Biomarkers in Serum
Using the ELISA kit from R&D Systems (Abingdon, UK), the amounts of TNF-α, IL-6, and leptin in serum were determined. Concentrations of Triglyceride (TG), total cholesterol (TC) and high-density lipoprotein (HDL) were determined using the kit provided by Asan Pharm (Seoul, Korea), and low-density lipoprotein (LDL) and insulin levels were measured using kits provided by CrystalChem (Elk Grove, CA, USA). The manufacturer’s instructions were followed for all the measurements.
2.5. Histology
Mouse epididymal adipose and liver tissues were fixed in 4% paraformaldehyde and embedded in paraffin. Tissue sections, with a thickness of 4 μm, were subjected to staining using Oil Red O (for liver tissues) and hematoxylin and eosin (H&E) (for adipose tissues).
2.6. Statistical Analyses
The data are presented as means ± standard deviation, and all statistical analyses were conducted using Sigmaplot v16.0 (Systat Software Inc., San Jose, CA, USA). Statistical analysis was performed to identify differences, followed by one-way analysis of variance and Duncan’s multiple comparison test. These analyses were employed to assess variations among three or more groups across all measured parameters. Statistical significance was defined as a difference with p < 0.05.
4. Discussion
Excessive body fat accumulation delineates the hallmark of obesity. Inflammation induced by obesity arises from the accumulation of lipids in adipose tissue [
28]. This inflammatory process is characterized by an augmentation in both the quantity (hyperplasia) and size (hypertrophy) of adipocytes, ultimately resulting in the expansion of adipose tissue mass [
29]. Adipose tissue functions as a biological calorie reservoir, expanding in response to an abundance of nutrients and storing lipids during periods of energy surplus, then releasing them during energy deficiency [
30]. Nevertheless, excessive fat accumulation and dysfunction in adipocytes result in changes in plasma lipid and lipoprotein levels. This includes an increase in LDL cholesterol levels and TG, along with a decrease in HDL cholesterol levels, contributing to the development of obesity-related disorders [
31].
This study provides scientific evidence supporting the anti-obesity function of PGA-K in HFD-fed mice, with a focus on adipose tissue dysfunction. The results of this study indicate that PGA-K significantly reduced HFD-induced body weight, especially adipose tissue hypertrophy. PGA-K administration to HFD-induced obese mice significantly reduced relative liver size and fat pad size. The relative fat pad size of HFD-induced obese mice administered PGA-K was reduced to the level of mice fed a normal fat diet. Although no significant effects of PGA-K on food intake were observed, body weight gain and white adipose fat mass were lower in PGA-K-treated mice than in untreated mice. These findings suggest that alterations in caloric intake do not necessarily correspond to changes in adipose tissue mass. In addition, PGA-K ameliorated HFD-induced obesity-related adipose tissue disorders, such as elevated inflammation, indicating its ability to attenuate obesity-related metabolic disorders. Moreover, PGA-K reduced the levels of insulin resistance markers, including insulin and leptin. Thus, B. subtilis chungkookjang-derived PGA-K is a potential candidate for reducing and managing obesity and obesity-related diseases.
The field of natural product research is continuously expanding, with ongoing efforts aimed at enhancing the biological activities of these compounds to address diverse diseases through treatment and prevention. Despite significant research efforts into the pathogenesis of obesity and ongoing exploration of novel treatment strategies, a definitive cure remains elusive. Treatment medications for obesity frequently have potential side effects and complications. Several anti-obesity medications, including liraglutide, naltrexone-bupropion, orlistat, and phentermine-topiramate have been approved by the US Food and Drug Administration (FDA) [
32]. Meanwhile, numerous stimulant-type weight loss medications, such as phentermine and diethylpropion, are typically recommended for short-term use because of the risk of dependence and other potential side effects [
33]. Certain drugs used in the clinical treatment of obesity are associated with adverse effects, including nausea, insomnia, constipation, gastrointestinal problems, and potential cardiovascular complications [
34]. Therefore, numerous initiatives are underway to explore and cultivate anti-obesity foods and food ingredients that can effectively reduce body fat accumulation, decrease the risk of obesity-related chronic diseases, and reduce potential side effects associated with clinical treatments [
35].
Additionally, some studies have linked these effects to the bioactive phytochemical content of fermented soybean foods, such as α-amylase and α-glucosidase inhibitors, protease inhibitors, hemagglutinin, and crude fibers. These components have the potential to disrupt normal metabolism and aid in the management of obesity and various metabolic disorders [
36]. This phase is linked with a heightened risk of various diseases and is often attributed to the lack of hormonal regulation. These include accumulation of abdominal fat, hypertriglyceridemia, increased LDL cholesterol, decreased HDL cholesterol, elevated blood pressure, and impaired glucose tolerance/diabetes [
37]. There is a correlation between obesity and the transition from premenopause to postmenopause in women. The intake of isoflavones has been linked to an increase in HDL cholesterol and a decrease in TC, LDL, and TGs. In addition to isoflavones, soy proteins and peptides are active ingredients that lower LDL cholesterol and triacylglycerols [
38]. Research indicates that the consumption of fermented soybean foods rich in isoflavones has positive effects on the distribution of body fat and lipid profiles in menopausal women. This is attributed to the structural similarity of these compounds to estrogen, their higher affinity for estrogen receptors, and their circulating concentrations in the human body [
39]. Clinical and experimental studies suggest that obese and overweight individuals are more susceptible to T2DM and that obesity significantly elevates the risk of developing T2DM. Moreover, individuals with T2DM have an increased risk of cardiovascular disease, even with aggressive control of glucose, cholesterol, and blood pressure [
40]. In a previous investigation, it was documented that soy isoflavones markedly attenuate body weight gain and fat accumulation in both obese and lean rats [
41]. Moreover, a study report suggested that supplementation with chungkookjang enhances lean body mass while diminishing visceral fat areas. Another study also suggested that a diet rich in isoflavones improves lipid metabolism and exerts anti-obesity effects [
42]. The isoflavones daidzein and genistein, which are present at high levels in fermented soybean foods, are recognized for their bioactivity, as they regulate the generation of lipids and thermogenesis in vivo [
43]. Aglycones and metabolites showcase their anti-obesity effects through mechanisms such as lipogenesis (synthesis of fatty acids and TGs), hyperlipidemia (high levels of fat particles in the blood), hyperglycemia (elevated blood glucose levels), and improved insulin resistance [
44]. γ-PGA is a hydrolyzed biopolymer composed of L-glutamic acid and/or D-glutamic acid monomers produced when
Bacillus subtilis ferments soybeans [
17,
18,
45]. Studies have reported that γ-PGA has various physiological activities, including potential anti-obesity and anti-inflammatory properties [
46,
47]. Building on previous studies, isoflavones and soy proteins have been shown to possess anti-obesity properties. In this study, PGA-K treatment demonstrated similar effects.
Additionally, the process of adipocyte differentiation is paralleled by an upregulation in the expression of inflammatory cytokines [
10]. Thus, we tested the inflammatory cytokines expression in WATs, and the results showed that PGA-K treatment decreased the expression of TNF-
α and IL-6 in serum. Adipose tissue releases adipocytokines, including TNF-α, IL-6, leptin, and adiponectin, and elevated serum leptin and reduced serum adiponectin levels are characteristic features of obesity [
48]. In another study, prolonged consumption of an HFD resulted in heightened levels of insulin in the serum, triggered insulin resistance, and promoted increased fat accumulation within the liver [
49]. In the present study, we found that PGA-K decreased serum insulin and leptin levels, indicating that its potential in improving insulin clearance and significantly reducing fat accumulation.
Our findings demonstrate that PGA-K administration has beneficial effects on obesity, as demonstrated by enhancements in parameters such as body weight, adipose tissue weight, and histological features. Administration of PGA-K significantly reduced body weight and adipose tissue weight. Furthermore, PGA-K restored insulin and leptin production, indicating its ability to prevent diabetes mellitus. In summary, our findings strongly indicated that PGA-K exerts a preventive effect against obesity.
Author Contributions
Conceptualization, J.W.C., K.H.I., and H.J.C.; methodology, S.-H.L., J.W.C., M.K.S., and J.Y.P.; software, S.-H.L. and H.-R.K.; validation, S.-H.L., J.Y.P., and H.-R.K.; formal analysis, S.-H.L. and J.Y.P.; investigation, B.-J.O., S.-Y.K., and M.H.P. T.-G.L.; resources, J.-C.C. and Y.-C.P.; data curation, S.-H.L., H.-R.K., J.Y.P., and M.H.P.; writing—original draft preparation, S.-H.L., T.-G.L., M.-H.P., and S.-Y.K.; writing—review and editing, S.-H.L., M.-H.P., and S.-Y.K.; visualization, M.-H.P. and S.-Y.K.; supervision, S.-Y. K; project administration, H.Y.S., H.S.J., and S.-Y.K.; funding acquisition, H.Y.S., H.S.J., and S.-Y.K. All authors have read and agreed to the published version of the manuscript.
Figure 1.
Effects of PGA-K on body weight and eWAT weight in HFD-induced obesity mice. (A) PGA-K effects on body weight gain, (B) food intake, (C) final body weight, (D) eWAT weight, and (E) the ratio (%) of eWAT to body weight for 12 weeks of obesity induction by HFD. All values represent the mean ± SD. Duncan’s multiple comparison test was utilized for data analysis. ***p < 0.001, versus the N group; #p < 0.05, ##p < 0.01, and ###p < 0.001, versus the HFD group. PGA-K, poly-γ-glutamate potassium; HFD, high-fat diet; eWAT, epididymal white adipose tissue; N, normal; PC, positive control.
Figure 1.
Effects of PGA-K on body weight and eWAT weight in HFD-induced obesity mice. (A) PGA-K effects on body weight gain, (B) food intake, (C) final body weight, (D) eWAT weight, and (E) the ratio (%) of eWAT to body weight for 12 weeks of obesity induction by HFD. All values represent the mean ± SD. Duncan’s multiple comparison test was utilized for data analysis. ***p < 0.001, versus the N group; #p < 0.05, ##p < 0.01, and ###p < 0.001, versus the HFD group. PGA-K, poly-γ-glutamate potassium; HFD, high-fat diet; eWAT, epididymal white adipose tissue; N, normal; PC, positive control.
Figure 2.
Histopathological assessment of the effects of PGA-K on the liver and eWAT of HFD-induced obesity mice. (A) Representative image of eWAT tissue stained with H&E. Magnification, 100×; scale bar, 100 μm. (B) Representative image of liver tissue stained with Oil Red O. Magnification, 200×; scale bar, 60 μm. PGA-K, poly-γ-glutamate potassium; HFD, high-fat diet; eWAT, epididymal white adipose tissue; PC, positive control; N, normal; H&E, hematoxylin and eosin.
Figure 2.
Histopathological assessment of the effects of PGA-K on the liver and eWAT of HFD-induced obesity mice. (A) Representative image of eWAT tissue stained with H&E. Magnification, 100×; scale bar, 100 μm. (B) Representative image of liver tissue stained with Oil Red O. Magnification, 200×; scale bar, 60 μm. PGA-K, poly-γ-glutamate potassium; HFD, high-fat diet; eWAT, epididymal white adipose tissue; PC, positive control; N, normal; H&E, hematoxylin and eosin.
Figure 3.
Effects of PGA-K on serum lipid profiles of HFD-induced obesity mice. The levels of (A) TG, (B) TC, (C) HDL, and (D) LDL. All values represent the mean ± SD. Duncan’s multiple comparison test was utilized for data analysis. ***p < 0.001, versus the N group; ##p < 0.01 and ###p < 0.001, versus the HFD groups. PGA-K, poly-γ-glutamate potassium; HFD, high-fat diet; TG, triglyceride; TC, total cholesterol; HDL, high-density lipoprotein; LDL, low-density lipoprotein; N, normal; PC, positive control.
Figure 3.
Effects of PGA-K on serum lipid profiles of HFD-induced obesity mice. The levels of (A) TG, (B) TC, (C) HDL, and (D) LDL. All values represent the mean ± SD. Duncan’s multiple comparison test was utilized for data analysis. ***p < 0.001, versus the N group; ##p < 0.01 and ###p < 0.001, versus the HFD groups. PGA-K, poly-γ-glutamate potassium; HFD, high-fat diet; TG, triglyceride; TC, total cholesterol; HDL, high-density lipoprotein; LDL, low-density lipoprotein; N, normal; PC, positive control.
Figure 4.
Effects of PGA-K on liver toxicity in HFD-induced obesity mice. (A) Liver weight and (B) serum ALT and (C) AST levels in HFD-induced obesity mice. All values are presented as the mean ± SD. Duncan’s multiple comparison test was utilized for data analysis. ***p < 0.001, versus the N group; ##p < 0.01 and ###p < 0.001, versus the HFD group. PGA-K, potassium poly-γ-glutamate; HFD, high-fat diet; ALT, alanine aminotransferase; AST, aspartate aminotransferase; N, normal; PC, positive control.
Figure 4.
Effects of PGA-K on liver toxicity in HFD-induced obesity mice. (A) Liver weight and (B) serum ALT and (C) AST levels in HFD-induced obesity mice. All values are presented as the mean ± SD. Duncan’s multiple comparison test was utilized for data analysis. ***p < 0.001, versus the N group; ##p < 0.01 and ###p < 0.001, versus the HFD group. PGA-K, potassium poly-γ-glutamate; HFD, high-fat diet; ALT, alanine aminotransferase; AST, aspartate aminotransferase; N, normal; PC, positive control.
Figure 5.
Effects of PGA-K on serum pro-inflammatory cytokine levels in HFD-induced obesity mice. The levels of (A) TNF-α and (B) IL-6 in HFD-induced obese mice serum. All values represent the mean ± SD. Duncan’s multiple comparison test was utilized for data analysis. ***p < 0.001, versus the N group; #p < 0.05, ##p < 0.01, and ###p < 0.001, versus the HFD group. PGA-K, poly-γ-glutamate potassium; HFD, high-fat diet; TNF-α, tumor necrosis factor α; IL-6, interleukin; N, normal; PC, positive control.
Figure 5.
Effects of PGA-K on serum pro-inflammatory cytokine levels in HFD-induced obesity mice. The levels of (A) TNF-α and (B) IL-6 in HFD-induced obese mice serum. All values represent the mean ± SD. Duncan’s multiple comparison test was utilized for data analysis. ***p < 0.001, versus the N group; #p < 0.05, ##p < 0.01, and ###p < 0.001, versus the HFD group. PGA-K, poly-γ-glutamate potassium; HFD, high-fat diet; TNF-α, tumor necrosis factor α; IL-6, interleukin; N, normal; PC, positive control.
Figure 6.
Effects of PGA-K on serum insulin resistance markers of HFD-induced obesity mice. (A) Leptin and (B) insulin. All values represent the mean ± SD. Duncan’s multiple comparison test was utilized for data analysis. ***p < 0.001, versus the N group; #p < 0.05, ##p < 0.01, and ###p < 0.001, versus the HFD group. PGA-K, poly-γ-glutamate potassium; HFD, high-fat diet; TNF-α, tumor necrosis factor α; IL-6, interleukin; N, normal; PC, positive control.
Figure 6.
Effects of PGA-K on serum insulin resistance markers of HFD-induced obesity mice. (A) Leptin and (B) insulin. All values represent the mean ± SD. Duncan’s multiple comparison test was utilized for data analysis. ***p < 0.001, versus the N group; #p < 0.05, ##p < 0.01, and ###p < 0.001, versus the HFD group. PGA-K, poly-γ-glutamate potassium; HFD, high-fat diet; TNF-α, tumor necrosis factor α; IL-6, interleukin; N, normal; PC, positive control.