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Effects of Mealworm Fermentation Extract and Soy Protein Mix Ratio on Hepatic Glucose and Lipid Metabolism in Obese-Induced Mice
1Department of Agricultural Biology, National Institution of Agricultural Sciences, Rural Development Administration, Jeonbuk 55365, Korea
2Department of Food and Nutrition, Sunchon National University, Jeonnam 57922, Korea
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Prev Nutr Food Sci 2023; 28(3): 255-262
Published September 30, 2023 https://doi.org/10.3746/pnf.2023.28.3.255
Copyright © The Korean Society of Food Science and Nutrition.
Abstract
Keywords
INTRODUCTION
Obesity and its associated comorbidities, such as type 2 diabetes, cardiovascular disease, hypertension, and cancer have increased worldwide (Drummen et al., 2018). Carbohydrate response element-binding protein (ChREBP) plays a crucial role in the development of non-alcoholic fatty liver disease (NAFLD), glucose intolerance, dyslipidemia and cancer, and controls the transcription of genes involved in glucose and lipid metabolism, impacting these clinical diseases (Iizuka, 2017). Controlling dietary protein consumption has recently been identified as a viable method for reducing obesity (Ijaz et al., 2018). A prior meta-analysis found that an isocaloric high-protein diet is superior to a conventional protein diet in terms of weight reduction, body composition, and management of resting energy expenditure (Wycherley et al., 2012). Indeed, casein has been employed as the only protein component in the majority of commercially purified diets for obesity (Choi et al., 2021). Soy protein (SP) is classified as a complete protein as it includes the majority of the necessary amino acids present in animal protein and is approximately similar to high-biological-value animal protein (Velasquez and Bhathena, 2007). Torre-Villalvazo et al. (2008) found that long-term (180-day) SP treatment had positive effects on the liver and adipose tissue in rats, even when given a high-fat diet (HFD).
MATERIALS AND METHODS
Animals and diets
Male C57BL/6N mice aged 4 weeks (n=40) were bought from Orient Bio Inc., and kept under normal circumstances (22±2°C, 50±5% humidity, and a 12-h light/dark cycle). The Sunchon National University’s Institutional Animal Care and Use Committee (SCNU_IACUC_2020-08) gave its approval to the protocol. The mice were divided into 4 groups of 10 mice each after a week of acclimatization. The mice were given HFD supplemented with SP (Shandong Yuxin Bio-Tech Co., Ltd.) as the control or three concentrations of TMP (20, 40, and 60%) and SP mix (S4T1, S3T2, and S2T3), each of which included 20% protein sources, in three different ratios. Table 1 contains a list of the experimental diets and their ingredients. The mice have limitless access to food and water at all times. Three times a week, the diet was modified, and once a week, the body weight was recorded. The overnight-starved mice were put to death with inhalation after the 12-week trial, and blood was taken from the inferior vena cava as described in our prior work (Ham et al., 2021). In preparation for further examination, the liver and white adipose tissues (WAT) were extracted and kept at −80°C. For histological investigation, certain tissue samples were fixed in 10% neutral buffered formalin. According to the preceding instructions, the TMP was extracted (Choi et al., 2020a). In the yeast extract–peptone–dextrose medium, defatted and freeze-dried mealworm powder was used to replace peptone. After being infused into the broth, the
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Table 1 . Dietary composition in experiments1)
Ingredients (%) SP S4T1 S3T2 S2T3 SP 20.0 16.0 12.0 8.0 TMP − 4.0 8.0 12.0 DL-methionine 0.3 0.3 0.3 0.3 Choline bitartrate 0.2 0.2 0.2 0.2 Corn starch 34.0 34.0 34.0 34.0 Sucrose 15.0 15.0 15.0 15.0 Cellulose 5.0 5.0 5.0 5.0 Corn oil 3.0 3.0 3.0 3.0 Lard 18.0 18.0 18.0 18.0 Mineral mixture2) 3.5 3.5 3.5 3.5 Vitamin mixture3) 1.0 1.0 1.0 1.0 1)Experimental diets were adjusted ratio for protein contents.
2)Mineral mixture according to AIN-76.
3)Vitamin mixture according to AIN-76.
SP, soy protein; TMP, mealworm fermentation extract.
Serum biochemical assays
Using an assay kit, the glucose level was determined (Asan Pharmaceutical Co., Ltd.). Enzyme-linked immunosorbent assay kits from R&D Systems, Inc. and Morinaga Institute of Biological Science, Inc. were used to measure the levels of leptin and insulin, respectively. The equation fasting insulin (μIU/mL)×fasting glucose (mmol/L)/22.5 was used to calculate the homeostasis model assessment of insulin resistance (HOMA-IR).
Histological analysis
Hematoxylin and eosin (H&E) staining was performed on the paraffin-embedded fixed liver and epididymal WAT. Oil Red O was used to stain the liver slices. A 200× optical microscope was used to magnify the tiny pictures for observation.
RNA isolation and reverse transcription quantitative polymerase chain reaction (RT-qPCR) analysis
The total RNA was isolated using the TRIzol reagent (Invitrogen, Thermo Fisher Scientific, Inc.). RNA content was quantified using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific, Inc.). Complementary DNA synthesis was performed using a ReverTra Ace qPCR RT master mix (Toyobo). The RT-qPCR analysis was conducted using the CFX96 Touch™ real-time PCR detection system (Bio-Rad Laboratories, Inc.) with an SYBR green PCR kit (Qiagen). The primer details can be found in Table 2.
-
Table 2 . Primer sequences for quantitative real-time polymerase chain reaction based on reverse transcription
Gene Name Forward/reverse (5’-3’) ALDOB Fructose bisphosphate aldolase B GCTGTGTTGAGGATTGCTGA/TAGACAGCAGCCAGGACCTT CD36 Cluster of differentiation 36 GCTGTCAGGCGTCAGGATAA/TGGCTTCAGGGAGACTGTTG ChREBP Carbohydrate-response element-binding protein CTGGGGACCTAAACAGGAGC/GAAGCCACCCTATAGCTCCC DGAT2 Diacylglycerol O-acyltransferase 2 CTGGCTGATAGCTGCTCTCTACTTG/TGTGATCTCCTGCCACCTTTC DLD Dihydrolipoyl dehydrogenase CCTTGTAGCTACGGGCTCAG/CCCACATGACCCAAAAATTC FAS Fatty acid synthase TTGGAGCTAAGGCATGGTGG/GCAGTTGTCCTCTGGATGCT FBP1 Fructose-1,6-bisphosphatase 1 GTCTGTTTCGATCCCCTTGA/GTCCAGCATGAAGCAGTTGA GAPDH Glyceraldehyde-3-phosphate dehydrogenase AAGGTCATCCCAGAGCTGAA/CTGCTTCACCACCTTCTTGA KHK Ketohexokinase TCGAGTGAAGAAAGGGGCTA/CCTTCGAGAGGCTGAAGATG PAP Phosphatidate phosphatase 1 GGGTTCTACTGTGGAGATGA/TGACAGTAGCTGTGATGATGA PDI Protein disulfide isomerase TATGATGGGCCTAGGACTGC/TGCTGGCTGCTTTTAGGAAT PPARγ Peroxisome proliferator-activated receptor gamma TCGCTGATGCACTGCCTATG/GAGAGGTCCACAGAGCTGAT SCD1 Stearoyl-CoA desaturase TTCTTCATCGACTGCATGGC/ACTCAGAAGCCCAAAGCTCAG SOD1 Superoxide dismutase 1 CCAGTGCAGGACCTCATTTT/TTGTTTCTCATGGACCACCA SREBP-1c Sterol regulatory element-binding protein 1c AACCTCATCCGCCACCTG/TGGTAGACAACAGCCGCATC
Statistical analysis
Statistical analysis was performed using IBM SPSS software (version 20, IBM Corp.). The data are presented as mean±standard error. One-way ANOVA was utilized to determine significant differences among the groups, followed by Tukey’s test. Statistical significance was considered at a threshold of
RESULTS
Body weight, food intake, and insulin resistance index
There were no significant changes in weekly body weights for the first 9 weeks. However, after 10 weeks on the experimental diet, the body weights in the S2T3 group showed a trend toward being lower compared to the SP, S4T1, and S3T2 groups (Table 3). By the 12th week, the S2T3 group exhibited a significantly reduced body weight gain compared to the other groups (Table 3). Furthermore, the S2T3 group demonstrated a significant decrease in food intake compared to the SP group (Table 3). Serum glucose levels did not show significant statistical changes among the four groups (Table 3). Nevertheless, the serum insulin and leptin levels, as well as the HOMA-IR index, tended to be reduced in the S2T3 group compared to the SP group (Table 3).
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Table 3 . Obese mice given high-fat diets with a TMP/SP mix had different body weights, food intakes, serum glucose, insulin, and leptin levels, and HOMA-IR
SP S4T1 S3T2 S2T3 Body weights (g) 0 week 19.20±0.33 19.53±0.24 19.53±0.24 19.54±0.24 3 week 26.07±0.26 26.19±0.57 25.85±0.29 25.40±0.38 6 week 31.79±0.51 32.67±0.98 32.16±0.55 31.22±0.63 9 week 37.81±0.71 38.83±1.22 37.32±0.79 35.17±0.71 10 week 39.49±0.76ab 40.66±1.27b 39.25±0.95ab 36.65±0.78a 11 week 40.65±0.82ab 41.71±1.23b 40.77±0.94ab 37.67±0.80a 12 week 41.23±0.82ab 42.41±1.16b 41.92±0.94ab 38.41±0.82a Body weight gain (g) 22.02±0.59b 22.87±1.04b 22.39±0.77b 18.93±0.77a Food intakes (g/d) 3.93±0.05b 3.71±0.05ab 3.70±0.08ab 3.45±0.07a Serum glucose (mmol/L) 14.10±1.63 14.96±1.15 12.99±1.03 10.52±0.69 Serum insulin (μIU/mL) 100.53±26.93ab 153.37±33.27b 132.20±21.30ab 51.27±8.70a Serum leptin (ng/mL) 7.23±1.23ab 8.57±1.04b 7.58±0.80ab 4.46±0.78a HOMA-IR 68.18±21.59ab 97.57±20.04b 79.84±17.00ab 25.49±5.45a The data are shown as mean±SE. Means with distinct letters (a,b) in a row show statistically significant differences between groups.
TMP, mealworm fermentation extract; SP, soy protein; HOMA-IR, homeostasis model assessment of insulin resistance.
Morphological changes in the adipose tissue and liver
The histological examination of epididymal WAT stained with H&E revealed that the adipocyte size was smaller in proportion to the substitution ratio of TMP replacing SP (Fig. 1). In the histological analysis of hepatic tissues using H&E staining, the SP group exhibited a noticeable increase in fat vacuoles, while the TMP-replacement groups (S4T1, S3T2, and S2T3) showed fewer lipid droplets (Fig. 1). The presence of Oil Red O-positive lipid droplets in the SP group was observed throughout the liver, whereas increasing the TMP-replacement ratio resulted in reduced lipid accumulation compared to the SP group (Fig. 1).
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Figure 1. Histological appearance of epididymal white adipose tissue and liver in obese mice fed high-fat diets with varying ratios of mealworm fermentation extract and soy protein (SP) mix. Magnification: 200×. H&E, hematoxylin and eosin.
Changes in expression of gene controlling hepatic fructolysis/gluconeogenesis
Fig. 2 demonstrates that the gene expression of
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Figure 2. Gene expression related to hepatic fructolysis/gluconeogenesis in obese mice fed high-fat diets with varying ratios of mealworm fermentation extract and soy protein (SP) mix. Data are presented as mean±SE. Different letters (a-c) above the bars indicate significant differences among the groups.
Changes in expression of gene controlling hepatic lipogenesis
In relation to fatty acid synthesis, the gene expression of
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Figure 3. Gene expression related to hepatic lipogenesis in obese mice fed high-fat diets with varying ratios of mealworm fermentation extract and soy protein (SP) mix. Data are presented as mean±SE. Different letters (a,b) above the bars indicate significant differences among the groups.
Changes in expression of hepatic transcription factor genes
The mRNA levels of glucose and lipid metabolism-related transcription factors were measured (Fig. 4). The
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Figure 4. Gene expression of hepatic transcription factors in obese mice fed high-fat diets with varying ratios of mealworm fermentation extract and soy protein (SP) mix. Data are presented as mean±SE. Different letters (a-c) above the bars indicate significant differences among the groups.
Changes in expression of hepatic endoplasmic reticulum (ER) stress and antioxidant gene expression
Major indicators of ER-related stress and antioxidants, respectively, are
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Figure 5. Gene expression of hepatic endoplasmic reticulum stress and antioxidant-related genes in obese mice fed high-fat diets with varying ratios of mealworm fermentation extract and soy protein (SP) mix. Data are presented as mean±SE. Different letters (a-c) above the bars indicate significant differences among the groups.
DISCUSSION
We previously reported that glutamic acid, leucine, and alanine were the most prevalent amino acids in TMP (Choi et al., 2020b). Zhang et al. (2007) discovered that dietary leucine supplementation decreases HFD-induced hypercholesterolemia, hyperglycemia, and adiposity in rodents. L-alanine or L-arginine administration has been found to reduce obesity and glucose intolerance in mice induced to be obese by monosodium glutamate (Araujo et al., 2017). Glutamine supplementation decreases adipose mass and enhances insulin sensitivity in HFD-fed Wistar rodents, according to Abboud et al. (2019). The present study demonstrated that as the ratio of TMP to SP in the mixture increased, the expression of genes implicated in
The present study also observed a significant decrease in
In contrast, the present investigation demonstrated that TMP replacement decreased
ACKNOWLEDGEMENTS
We sincerely appreciate Suncheon Research Center for Bio Health Care for providing TMP.
FUNDING
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2020R1A2C1009008).
AUTHOR DISCLOSURE STATEMENT
The authors declare no conflict of interest.
AUTHOR CONTRIBUTIONS
Concept and design: all authors. Analysis and interpretation: all authors. Data collection: RYC. Writing the article: all authors. Critical revision of the article: MKL. Final approval of the article: all authors. Statistical analysis: RYC. Obtained funding: MKL. Overall responsibility: all authors.
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Article
Original
Prev Nutr Food Sci 2023; 28(3): 255-262
Published online September 30, 2023 https://doi.org/10.3746/pnf.2023.28.3.255
Copyright © The Korean Society of Food Science and Nutrition.
Effects of Mealworm Fermentation Extract and Soy Protein Mix Ratio on Hepatic Glucose and Lipid Metabolism in Obese-Induced Mice
Ra-Yeong Choi1 and Mi-Kyung Lee2
1Department of Agricultural Biology, National Institution of Agricultural Sciences, Rural Development Administration, Jeonbuk 55365, Korea
2Department of Food and Nutrition, Sunchon National University, Jeonnam 57922, Korea
Correspondence to:Mi-Kyung Lee, E-mail: leemk@scnu.ac.kr
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Previous studies found that mealworm fermentation extract (TMP) reduced alcoholic hepatic steatogenesis. This study examined how the ratio of TMP and soy protein (SP) mix affected glucose and lipid metabolism in obese mice given a high-fat diet (HFD). Mice were given HFD supplemented with 100% SP or the following three ratios of TMP and SP mix for 12 weeks: 20% (S4T1), 40% (S3T2), and 60% (S2T3) TMP. When compared to the SP group, the S2T3 group had considerably lower body weight gain and food consumption. When compared to the SP group, the S2T3 group had slightly lower blood insulin and leptin levels, as well as a lower homeostasis model assessment of insulin resistance score. The use of TMP instead of SP reduced the size of epididymal adipose tissue cells. An increase in the extent of substitution of SP with TMP inhibited the gene expression of hepatic fructolysis/gluconeogenesis (KHK, ALDOB, DLD, and FBP1), lipogenesis (FAS, SCD1, CD36, and DGAT2), and its transcriptional factors (PPARγ and ChREBP). Furthermore, the S2T3 group dramatically reduced the expression of hepatic genes implicated in endoplasmic reticulum stress (PDI) and antioxidant defense (SOD1). The 60% TMP mix, in particular, reduced the expression of hepatic glucose and lipid metabolismrelated genes in HFD-fed mice. The manufacturing of functional processed goods may be accomplished by combining SP and TMP in a 2:3 ratio.
Keywords: fatty liver, high-fat diet, lipid metabolism, soybean protein, Tenebrio molitor
INTRODUCTION
Obesity and its associated comorbidities, such as type 2 diabetes, cardiovascular disease, hypertension, and cancer have increased worldwide (Drummen et al., 2018). Carbohydrate response element-binding protein (ChREBP) plays a crucial role in the development of non-alcoholic fatty liver disease (NAFLD), glucose intolerance, dyslipidemia and cancer, and controls the transcription of genes involved in glucose and lipid metabolism, impacting these clinical diseases (Iizuka, 2017). Controlling dietary protein consumption has recently been identified as a viable method for reducing obesity (Ijaz et al., 2018). A prior meta-analysis found that an isocaloric high-protein diet is superior to a conventional protein diet in terms of weight reduction, body composition, and management of resting energy expenditure (Wycherley et al., 2012). Indeed, casein has been employed as the only protein component in the majority of commercially purified diets for obesity (Choi et al., 2021). Soy protein (SP) is classified as a complete protein as it includes the majority of the necessary amino acids present in animal protein and is approximately similar to high-biological-value animal protein (Velasquez and Bhathena, 2007). Torre-Villalvazo et al. (2008) found that long-term (180-day) SP treatment had positive effects on the liver and adipose tissue in rats, even when given a high-fat diet (HFD).
MATERIALS AND METHODS
Animals and diets
Male C57BL/6N mice aged 4 weeks (n=40) were bought from Orient Bio Inc., and kept under normal circumstances (22±2°C, 50±5% humidity, and a 12-h light/dark cycle). The Sunchon National University’s Institutional Animal Care and Use Committee (SCNU_IACUC_2020-08) gave its approval to the protocol. The mice were divided into 4 groups of 10 mice each after a week of acclimatization. The mice were given HFD supplemented with SP (Shandong Yuxin Bio-Tech Co., Ltd.) as the control or three concentrations of TMP (20, 40, and 60%) and SP mix (S4T1, S3T2, and S2T3), each of which included 20% protein sources, in three different ratios. Table 1 contains a list of the experimental diets and their ingredients. The mice have limitless access to food and water at all times. Three times a week, the diet was modified, and once a week, the body weight was recorded. The overnight-starved mice were put to death with inhalation after the 12-week trial, and blood was taken from the inferior vena cava as described in our prior work (Ham et al., 2021). In preparation for further examination, the liver and white adipose tissues (WAT) were extracted and kept at −80°C. For histological investigation, certain tissue samples were fixed in 10% neutral buffered formalin. According to the preceding instructions, the TMP was extracted (Choi et al., 2020a). In the yeast extract–peptone–dextrose medium, defatted and freeze-dried mealworm powder was used to replace peptone. After being infused into the broth, the
-
Table 1 . Dietary composition in experiments1).
Ingredients (%) SP S4T1 S3T2 S2T3 SP 20.0 16.0 12.0 8.0 TMP − 4.0 8.0 12.0 DL-methionine 0.3 0.3 0.3 0.3 Choline bitartrate 0.2 0.2 0.2 0.2 Corn starch 34.0 34.0 34.0 34.0 Sucrose 15.0 15.0 15.0 15.0 Cellulose 5.0 5.0 5.0 5.0 Corn oil 3.0 3.0 3.0 3.0 Lard 18.0 18.0 18.0 18.0 Mineral mixture2) 3.5 3.5 3.5 3.5 Vitamin mixture3) 1.0 1.0 1.0 1.0 1)Experimental diets were adjusted ratio for protein contents..
2)Mineral mixture according to AIN-76..
3)Vitamin mixture according to AIN-76..
SP, soy protein; TMP, mealworm fermentation extract..
Serum biochemical assays
Using an assay kit, the glucose level was determined (Asan Pharmaceutical Co., Ltd.). Enzyme-linked immunosorbent assay kits from R&D Systems, Inc. and Morinaga Institute of Biological Science, Inc. were used to measure the levels of leptin and insulin, respectively. The equation fasting insulin (μIU/mL)×fasting glucose (mmol/L)/22.5 was used to calculate the homeostasis model assessment of insulin resistance (HOMA-IR).
Histological analysis
Hematoxylin and eosin (H&E) staining was performed on the paraffin-embedded fixed liver and epididymal WAT. Oil Red O was used to stain the liver slices. A 200× optical microscope was used to magnify the tiny pictures for observation.
RNA isolation and reverse transcription quantitative polymerase chain reaction (RT-qPCR) analysis
The total RNA was isolated using the TRIzol reagent (Invitrogen, Thermo Fisher Scientific, Inc.). RNA content was quantified using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific, Inc.). Complementary DNA synthesis was performed using a ReverTra Ace qPCR RT master mix (Toyobo). The RT-qPCR analysis was conducted using the CFX96 Touch™ real-time PCR detection system (Bio-Rad Laboratories, Inc.) with an SYBR green PCR kit (Qiagen). The primer details can be found in Table 2.
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Table 2 . Primer sequences for quantitative real-time polymerase chain reaction based on reverse transcription.
Gene Name Forward/reverse (5’-3’) ALDOB Fructose bisphosphate aldolase B GCTGTGTTGAGGATTGCTGA/TAGACAGCAGCCAGGACCTT CD36 Cluster of differentiation 36 GCTGTCAGGCGTCAGGATAA/TGGCTTCAGGGAGACTGTTG ChREBP Carbohydrate-response element-binding protein CTGGGGACCTAAACAGGAGC/GAAGCCACCCTATAGCTCCC DGAT2 Diacylglycerol O-acyltransferase 2 CTGGCTGATAGCTGCTCTCTACTTG/TGTGATCTCCTGCCACCTTTC DLD Dihydrolipoyl dehydrogenase CCTTGTAGCTACGGGCTCAG/CCCACATGACCCAAAAATTC FAS Fatty acid synthase TTGGAGCTAAGGCATGGTGG/GCAGTTGTCCTCTGGATGCT FBP1 Fructose-1,6-bisphosphatase 1 GTCTGTTTCGATCCCCTTGA/GTCCAGCATGAAGCAGTTGA GAPDH Glyceraldehyde-3-phosphate dehydrogenase AAGGTCATCCCAGAGCTGAA/CTGCTTCACCACCTTCTTGA KHK Ketohexokinase TCGAGTGAAGAAAGGGGCTA/CCTTCGAGAGGCTGAAGATG PAP Phosphatidate phosphatase 1 GGGTTCTACTGTGGAGATGA/TGACAGTAGCTGTGATGATGA PDI Protein disulfide isomerase TATGATGGGCCTAGGACTGC/TGCTGGCTGCTTTTAGGAAT PPARγ Peroxisome proliferator-activated receptor gamma TCGCTGATGCACTGCCTATG/GAGAGGTCCACAGAGCTGAT SCD1 Stearoyl-CoA desaturase TTCTTCATCGACTGCATGGC/ACTCAGAAGCCCAAAGCTCAG SOD1 Superoxide dismutase 1 CCAGTGCAGGACCTCATTTT/TTGTTTCTCATGGACCACCA SREBP-1c Sterol regulatory element-binding protein 1c AACCTCATCCGCCACCTG/TGGTAGACAACAGCCGCATC
Statistical analysis
Statistical analysis was performed using IBM SPSS software (version 20, IBM Corp.). The data are presented as mean±standard error. One-way ANOVA was utilized to determine significant differences among the groups, followed by Tukey’s test. Statistical significance was considered at a threshold of
RESULTS
Body weight, food intake, and insulin resistance index
There were no significant changes in weekly body weights for the first 9 weeks. However, after 10 weeks on the experimental diet, the body weights in the S2T3 group showed a trend toward being lower compared to the SP, S4T1, and S3T2 groups (Table 3). By the 12th week, the S2T3 group exhibited a significantly reduced body weight gain compared to the other groups (Table 3). Furthermore, the S2T3 group demonstrated a significant decrease in food intake compared to the SP group (Table 3). Serum glucose levels did not show significant statistical changes among the four groups (Table 3). Nevertheless, the serum insulin and leptin levels, as well as the HOMA-IR index, tended to be reduced in the S2T3 group compared to the SP group (Table 3).
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Table 3 . Obese mice given high-fat diets with a TMP/SP mix had different body weights, food intakes, serum glucose, insulin, and leptin levels, and HOMA-IR.
SP S4T1 S3T2 S2T3 Body weights (g) 0 week 19.20±0.33 19.53±0.24 19.53±0.24 19.54±0.24 3 week 26.07±0.26 26.19±0.57 25.85±0.29 25.40±0.38 6 week 31.79±0.51 32.67±0.98 32.16±0.55 31.22±0.63 9 week 37.81±0.71 38.83±1.22 37.32±0.79 35.17±0.71 10 week 39.49±0.76ab 40.66±1.27b 39.25±0.95ab 36.65±0.78a 11 week 40.65±0.82ab 41.71±1.23b 40.77±0.94ab 37.67±0.80a 12 week 41.23±0.82ab 42.41±1.16b 41.92±0.94ab 38.41±0.82a Body weight gain (g) 22.02±0.59b 22.87±1.04b 22.39±0.77b 18.93±0.77a Food intakes (g/d) 3.93±0.05b 3.71±0.05ab 3.70±0.08ab 3.45±0.07a Serum glucose (mmol/L) 14.10±1.63 14.96±1.15 12.99±1.03 10.52±0.69 Serum insulin (μIU/mL) 100.53±26.93ab 153.37±33.27b 132.20±21.30ab 51.27±8.70a Serum leptin (ng/mL) 7.23±1.23ab 8.57±1.04b 7.58±0.80ab 4.46±0.78a HOMA-IR 68.18±21.59ab 97.57±20.04b 79.84±17.00ab 25.49±5.45a The data are shown as mean±SE. Means with distinct letters (a,b) in a row show statistically significant differences between groups..
TMP, mealworm fermentation extract; SP, soy protein; HOMA-IR, homeostasis model assessment of insulin resistance..
Morphological changes in the adipose tissue and liver
The histological examination of epididymal WAT stained with H&E revealed that the adipocyte size was smaller in proportion to the substitution ratio of TMP replacing SP (Fig. 1). In the histological analysis of hepatic tissues using H&E staining, the SP group exhibited a noticeable increase in fat vacuoles, while the TMP-replacement groups (S4T1, S3T2, and S2T3) showed fewer lipid droplets (Fig. 1). The presence of Oil Red O-positive lipid droplets in the SP group was observed throughout the liver, whereas increasing the TMP-replacement ratio resulted in reduced lipid accumulation compared to the SP group (Fig. 1).
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Figure 1. Histological appearance of epididymal white adipose tissue and liver in obese mice fed high-fat diets with varying ratios of mealworm fermentation extract and soy protein (SP) mix. Magnification: 200×. H&E, hematoxylin and eosin.
Changes in expression of gene controlling hepatic fructolysis/gluconeogenesis
Fig. 2 demonstrates that the gene expression of
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Figure 2. Gene expression related to hepatic fructolysis/gluconeogenesis in obese mice fed high-fat diets with varying ratios of mealworm fermentation extract and soy protein (SP) mix. Data are presented as mean±SE. Different letters (a-c) above the bars indicate significant differences among the groups.
Changes in expression of gene controlling hepatic lipogenesis
In relation to fatty acid synthesis, the gene expression of
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Figure 3. Gene expression related to hepatic lipogenesis in obese mice fed high-fat diets with varying ratios of mealworm fermentation extract and soy protein (SP) mix. Data are presented as mean±SE. Different letters (a,b) above the bars indicate significant differences among the groups.
Changes in expression of hepatic transcription factor genes
The mRNA levels of glucose and lipid metabolism-related transcription factors were measured (Fig. 4). The
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Figure 4. Gene expression of hepatic transcription factors in obese mice fed high-fat diets with varying ratios of mealworm fermentation extract and soy protein (SP) mix. Data are presented as mean±SE. Different letters (a-c) above the bars indicate significant differences among the groups.
Changes in expression of hepatic endoplasmic reticulum (ER) stress and antioxidant gene expression
Major indicators of ER-related stress and antioxidants, respectively, are
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Figure 5. Gene expression of hepatic endoplasmic reticulum stress and antioxidant-related genes in obese mice fed high-fat diets with varying ratios of mealworm fermentation extract and soy protein (SP) mix. Data are presented as mean±SE. Different letters (a-c) above the bars indicate significant differences among the groups.
DISCUSSION
We previously reported that glutamic acid, leucine, and alanine were the most prevalent amino acids in TMP (Choi et al., 2020b). Zhang et al. (2007) discovered that dietary leucine supplementation decreases HFD-induced hypercholesterolemia, hyperglycemia, and adiposity in rodents. L-alanine or L-arginine administration has been found to reduce obesity and glucose intolerance in mice induced to be obese by monosodium glutamate (Araujo et al., 2017). Glutamine supplementation decreases adipose mass and enhances insulin sensitivity in HFD-fed Wistar rodents, according to Abboud et al. (2019). The present study demonstrated that as the ratio of TMP to SP in the mixture increased, the expression of genes implicated in
The present study also observed a significant decrease in
In contrast, the present investigation demonstrated that TMP replacement decreased
ACKNOWLEDGEMENTS
We sincerely appreciate Suncheon Research Center for Bio Health Care for providing TMP.
FUNDING
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2020R1A2C1009008).
AUTHOR DISCLOSURE STATEMENT
The authors declare no conflict of interest.
AUTHOR CONTRIBUTIONS
Concept and design: all authors. Analysis and interpretation: all authors. Data collection: RYC. Writing the article: all authors. Critical revision of the article: MKL. Final approval of the article: all authors. Statistical analysis: RYC. Obtained funding: MKL. Overall responsibility: all authors.
Fig 1.

Fig 2.

Fig 3.

Fig 4.

Fig 5.

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Table 1 . Dietary composition in experiments1)
Ingredients (%) SP S4T1 S3T2 S2T3 SP 20.0 16.0 12.0 8.0 TMP − 4.0 8.0 12.0 DL-methionine 0.3 0.3 0.3 0.3 Choline bitartrate 0.2 0.2 0.2 0.2 Corn starch 34.0 34.0 34.0 34.0 Sucrose 15.0 15.0 15.0 15.0 Cellulose 5.0 5.0 5.0 5.0 Corn oil 3.0 3.0 3.0 3.0 Lard 18.0 18.0 18.0 18.0 Mineral mixture2) 3.5 3.5 3.5 3.5 Vitamin mixture3) 1.0 1.0 1.0 1.0 1)Experimental diets were adjusted ratio for protein contents.
2)Mineral mixture according to AIN-76.
3)Vitamin mixture according to AIN-76.
SP, soy protein; TMP, mealworm fermentation extract.
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Table 2 . Primer sequences for quantitative real-time polymerase chain reaction based on reverse transcription
Gene Name Forward/reverse (5’-3’) ALDOB Fructose bisphosphate aldolase B GCTGTGTTGAGGATTGCTGA/TAGACAGCAGCCAGGACCTT CD36 Cluster of differentiation 36 GCTGTCAGGCGTCAGGATAA/TGGCTTCAGGGAGACTGTTG ChREBP Carbohydrate-response element-binding protein CTGGGGACCTAAACAGGAGC/GAAGCCACCCTATAGCTCCC DGAT2 Diacylglycerol O-acyltransferase 2 CTGGCTGATAGCTGCTCTCTACTTG/TGTGATCTCCTGCCACCTTTC DLD Dihydrolipoyl dehydrogenase CCTTGTAGCTACGGGCTCAG/CCCACATGACCCAAAAATTC FAS Fatty acid synthase TTGGAGCTAAGGCATGGTGG/GCAGTTGTCCTCTGGATGCT FBP1 Fructose-1,6-bisphosphatase 1 GTCTGTTTCGATCCCCTTGA/GTCCAGCATGAAGCAGTTGA GAPDH Glyceraldehyde-3-phosphate dehydrogenase AAGGTCATCCCAGAGCTGAA/CTGCTTCACCACCTTCTTGA KHK Ketohexokinase TCGAGTGAAGAAAGGGGCTA/CCTTCGAGAGGCTGAAGATG PAP Phosphatidate phosphatase 1 GGGTTCTACTGTGGAGATGA/TGACAGTAGCTGTGATGATGA PDI Protein disulfide isomerase TATGATGGGCCTAGGACTGC/TGCTGGCTGCTTTTAGGAAT PPARγ Peroxisome proliferator-activated receptor gamma TCGCTGATGCACTGCCTATG/GAGAGGTCCACAGAGCTGAT SCD1 Stearoyl-CoA desaturase TTCTTCATCGACTGCATGGC/ACTCAGAAGCCCAAAGCTCAG SOD1 Superoxide dismutase 1 CCAGTGCAGGACCTCATTTT/TTGTTTCTCATGGACCACCA SREBP-1c Sterol regulatory element-binding protein 1c AACCTCATCCGCCACCTG/TGGTAGACAACAGCCGCATC
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Table 3 . Obese mice given high-fat diets with a TMP/SP mix had different body weights, food intakes, serum glucose, insulin, and leptin levels, and HOMA-IR
SP S4T1 S3T2 S2T3 Body weights (g) 0 week 19.20±0.33 19.53±0.24 19.53±0.24 19.54±0.24 3 week 26.07±0.26 26.19±0.57 25.85±0.29 25.40±0.38 6 week 31.79±0.51 32.67±0.98 32.16±0.55 31.22±0.63 9 week 37.81±0.71 38.83±1.22 37.32±0.79 35.17±0.71 10 week 39.49±0.76ab 40.66±1.27b 39.25±0.95ab 36.65±0.78a 11 week 40.65±0.82ab 41.71±1.23b 40.77±0.94ab 37.67±0.80a 12 week 41.23±0.82ab 42.41±1.16b 41.92±0.94ab 38.41±0.82a Body weight gain (g) 22.02±0.59b 22.87±1.04b 22.39±0.77b 18.93±0.77a Food intakes (g/d) 3.93±0.05b 3.71±0.05ab 3.70±0.08ab 3.45±0.07a Serum glucose (mmol/L) 14.10±1.63 14.96±1.15 12.99±1.03 10.52±0.69 Serum insulin (μIU/mL) 100.53±26.93ab 153.37±33.27b 132.20±21.30ab 51.27±8.70a Serum leptin (ng/mL) 7.23±1.23ab 8.57±1.04b 7.58±0.80ab 4.46±0.78a HOMA-IR 68.18±21.59ab 97.57±20.04b 79.84±17.00ab 25.49±5.45a The data are shown as mean±SE. Means with distinct letters (a,b) in a row show statistically significant differences between groups.
TMP, mealworm fermentation extract; SP, soy protein; HOMA-IR, homeostasis model assessment of insulin resistance.
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