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Article

The Hypoglycemic and Hypocholesterolemic Activity of Dioscorea deltoidea, Tribulus terrestris and Panax japonicus Cell Culture Biomass in Rats with High-Fat Diet-Induced Obesity

by
Maria N. Povydysh
1,*,†,
Maria V. Titova
2,*,†,
Dmitry Yu. Ivkin
1,
Marina V. Krasnova
1,
Ekaterina R. Vasilevskaya
3,
Liliya V. Fedulova
3,
Igor M. Ivanov
2,
Andrey G. Klushin
2,
Elena V. Popova
2 and
Alexander M. Nosov
2,4
1
Saint-Petersburg State Chemical Pharmaceutical University, Prof. Popov str. 14, Saint-Petersburg 197376, Russia
2
K.A. Timiryazev Institute of Plant Physiology, Russian Academy of Sciences, Botanicheskaya str. 35, Moscow 127276, Russia
3
V.M. Gorbatov Federal Research Center for Food Systems of Russian Academy of Sciences, Moscow 109316, Russia
4
Faculty of Biology, Lomonosov Moscow State University, Leninskie Gory 1-12, Moscow 119991, Russia
*
Authors to whom correspondence should be addressed.
These authors contributed equally to the study.
Nutrients 2023, 15(3), 656; https://doi.org/10.3390/nu15030656
Submission received: 12 December 2022 / Revised: 21 January 2023 / Accepted: 22 January 2023 / Published: 28 January 2023

Abstract

:
Obesity, and its consequences for human health, is a huge and complicated problem that has no simple solution. The constant search for natural and safe compounds with systemic action that can be used for obesity prophylactics and treatment is hampered by the limited availability and variable quality of biomass of wild medicinal plants. Plant cell biotechnology is an alternative approach for the sustainable production of vegetative biomass or individual phytochemicals with high therapeutic potential. In this study, the suspension cell biomass of the medicinal plants, Dioscorea deltoidea Wall., Tribulus terrestris L., and Panax japonicus (T. Nees) C.A. Mey, produced in 20 L and 630 L bioreactors, were tested for therapeutic effects in rat models with alimentary-induced obesity. Three-month intake of water infusions of dry cell biomass (100 mg/g body weight) against the background of a hypercaloric diet reduced weight gain and the proportion of fat mass in the obese animals. In addition, cell biomass preparation reduced the intracellular dehydration and balanced the amounts of intra- and extracellular fluids in the body as determined by bioimpedance spectroscopy. A significant decrease in the glucose and cholesterol levels in the blood was also observed as a result of cell biomass administration for all species. Hypocholesterolemic activity reduced in the line P. japonicus > D. deltoidea > T. terrestris/liraglutide > intact group > control group. By the sum of parameters tested, the cell culture of D. deltoidea was considered the most effective in mitigating diet-induced obesity, with positive effects sometimes exceeding those of the reference drug liraglutide. A safety assessment of D. deltoidea cell phytopreparation showed no toxic effect on the reproductive function of the animals and their offspring. These results support the potential application of the biotechnologically produced cell biomass of medicinal plant species as safe and effective natural remedies for the treatment of obesity and related complications, particularly for the long-term treatment and during pregnancy and lactation periods when conventional treatment is often contraindicated.

1. Introduction

The prevalence of obesity and the burden of obesity-related diseases are increasing worldwide [1,2]. According to WHO Global Health Observatory data, over 1.9 billion people in the world are overweight, from which nearly 650 million suffer from obesity with a body mass index (BMI) exceeding 30 kg/m2. Russia is amongst 10 countries with the highest obesity occurrence rate [3]. Various data sources estimate the ratio of obese and overweight adults in Russia from 20 to 50% [4], pointing also to the alarming increase in obese children and adolescents at the age of 5 to 19 [5,6]. Obesity is a major risk factor associated with the development of asthma, type 2 diabetes, site-specific cancers, cardiovascular diseases, musculoskeletal disorders, and complications after infectious diseases [7,8]. In particular, fat metabolism disorder is one of the factors increasing the disease severity and mortality risk in patients with SARS-CoV-2 (COVID-19). In hospitalized patients with COVID-19, the degree of obesity was also associated with the rate of progression of acute respiratory distress syndrome [9]. The increased BMI and obesity are linked to the development of reproductive disorders in both women and men, including an approximately 1.3 times higher risk of premature death, and may be a barrier to the use of assisted reproductive technologies [7,10,11,12,13].
Despite the critical role of obesity in human health, there is a growing number of contraindications and complications related to the treatment and the management of this disorder, including the use of medications. To date, only a few medications have received European Medicines Agency (EMA) approval for clinical use in the medical treatment of obesity, including orlistat, liraglutide, and the combination of bupropion and naltrexone. The availability of these medicines varies by country and may be subjected to restrictions under national regulations. In 2021, the U.S. Food and Drug Administration (FDA) also approved semaglutide for injection for chronic weight control in obese or overweight adults with at least one weight-related disease. However, this substance has not yet received the EMA approval [6,14].
Synthetic medications often have side effects and contraindications and are not always compatible with other medicines used for the long-term treatment of chronic disorders. For example, the administration of orlistat was related to negative gastrointestinal effects observed against a background of excess fat in the diet, several cases of severe liver damage, and decreased levels of fat-soluble vitamins [15,16]. Until recently, sibutramine was used in obesity treatment, but it has been withdrawn in the EU and USA due to a significant increase in cardiovascular outcomes such as nonfatal myocardial infarction and nonfatal stroke in obese or overweight patients with a history of cardiovascular disease during long-term sibutramine treatment [17]. Combined treatment with bupropion and naltrexone is contraindicated in the cases of uncontrolled arterial hypertension, epilepsy, anorexia, chronic use of opioid drugs, pregnancy, or in combinations with antidepressants [18]. Liraglutide is still considered one of the safest medications for the long-term treatment of obesity in combination with a low-calorie diet and increased physical activity, but it is restricted for patients with some forms of cancer, pregnancy, severe depression, severe liver and kidney function disorders, and acute pancreatitis [19,20]. A number of other medications for the treatment of obesity are currently under clinical trials [21]. Nevertheless, the choice of pharmacological strategy is still complicated due to the complex etiology of obesity and concomitant chronic diseases [22]. Therefore, reducing the side effects of the known medications and increasing the safety of therapeutic interventions, including long-term, for the most vulnerable patient groups remains an important task.
A promising approach for the treatment of obesity may include phytopreparations based on biologically active compounds from plant cells that demonstrate systemic effects on the human body [23,24,25]. The use of “phytomolecules” may be particularly relevant for patients with high contraindications for synthetic medications. Under optimum dosage and with known interactions with conventional pharmaceuticals, phytopreparations used in obesity treatments may reduce the duration of synthetic drug administration [26]. Compared to their synthetic counterparts, plant-derived compounds usually demonstrate a wider range of actions and fewer negative side effects [25,26,27]. Phytopreparations are rarely used as an emergency treatment for patients with severe conditions. However, the complex composition of herbal remedies implies a combination of effects, which make them effective during the treatment of concomitant and/or chronic diseases, especially for the long-term [28,29]. They may also be effective for the prevention of relapses, during recuperation, in preparation for pregnancy, and during the lactation period, which expands the therapeutic options [25,28].
The use of herbal preparations for the prevention and treatment of fat metabolism disorders and their complications has been reviewed [30,31]. Positive effects of plant extracts during the treatment of obesity involved different mechanisms such as suppressing appetite, reducing triglyceride levels, increasing the metabolic rate, inhibiting pancreatic lipase, stimulation of diuresis, regulation of lipid metabolism, stimulation of insulin secretion, action on the central nervous system through leptin, etc. [23,25,30]. However, significant variations in the quality of vegetative biomass remain a problem. The qualitative and quantitative content of pharmacologically important chemical components in plants may be species- and organ-specific and are subjected to change due to daily and seasonal fluctuations, environmental conditions, methods of cultivation, collection, processing and storage, etc. [32]. In addition, many medicinal plant species are rare or endangered, and their collection in the wild may lead to the depletion of their natural reserves. Biotechnological cultivation of plant cells and organs in vitro using large-scale bioreactor systems is a promising alternative approach to the production of ecologically safe and standardized plant biomass with a controlled and stable content of the desired phytomolecules [33,34]. This technology allows the design of herbal preparations that are unprofitable or impractical to produce using the traditional way of wild plant collection [34].
In the present study, we explored the therapeutic potential of the cell cultures of Panax japonicus, Dioscorea deltoidea, and Tribulus terrestris, medicinal plants that synthesize biologically active triterpene and steroid glycosides. Previous studies demonstrated that extracts of Panax spp. plants containing ginsenosides affect the levels of leptin, ghrelin, and adiponectin, as well as help in reducing appetite and chronic hypothalamic inflammation, inhibit pancreatic lipase activity, which prevents the digestion and absorption of fats and carbohydrates, and reduce the glucose level in the blood. Panax spp. may also have antiadipogenic effects and improve fat oxidation and energy expenditure [35,36,37,38,39,40]. Tribulus terrestris may be effective in treating hypercholesterolemia by reducing cholesterol, homocysteine, leptin, and resistin levels and increasing adipokine expression; it has also been shown to have hypolipidemic and antihyperglycemic activities [41,42,43,44]. Dioscorea spp. were reported to reduce the total body weight (TBW) and weight of adipose tissue, and lower total cholesterol and triglyceride levels in the blood [45,46,47,48].
Biotechnological cultivation of the suspension cell cultures of D. deltoidea, P. japonicus, and T. terrestris in bioreactors of laboratory and industrial volumes has been previously developed [49,50,51]. However, the biological activities in cell cultures may differ from what was reported for their source plants due to potential alterations in secondary metabolite accumulation caused by the absence of organismic control and artificial growth conditions. Therefore, the bioreactor-derived cell biomass must be thoroughly investigated for its biological activities before it is certified for the use in any type of treatment [52,53].
In this study, we investigated the effects of phytopreparations based on the bioreactor-grown cell cultures of three medicinal plant species, D. deltoidea, T. terrestris, and P. japonicus, on laboratory rats with induced alimentary obesity. Phytopreparation from D. deltoidea cell biomass that demonstrated the most profound positive effect during the obesity treatment was further tested for the potential effects on the reproductive functions of laboratory rats.

2. Materials and Methods

2.1. Plant Suspension Cell Cultures, Bioreactor Cultivation, and Preparation of Cell Biomass

  • Suspension cell cultures of medicinal plants with enhanced production of active metabolites were received from All-Russian collection of plant cell cultures, Institute of Plant Physiology of Russian Academy of Sciences (Appendix A, Figure A1 and Figure A2). The following cell cultures were used in the study:
  • Suspension cell culture of Dioscorea deltoidea Wall. ex Griseb., strain DM-05-03, total content of furostanol glycosides (25 (S)-protodioscin, protodioscin and deltoside) 4.62% of dry cell weight (DW);
  • Suspension cell culture of Panax japonicus (T. Nees) C.A. Mey., strain 62, total content of ginsenosides (Rg1, malonyl-Rg1, Rb1, malonyl-Rb1, Rb2/Rb3, malonyl-Rb2/Rb3, Rd, malonyl-Rd, Rf, R0, chikusetsusaponin IVa) 3.46% DW;
  • Suspension cell culture of Tribulus terrestris L., strain Tter8, total content of furostanol glycosides 0.1% DW.
The analysis of content and composition of bioactive secondary metabolites in the cell cultures was described previously [50].
Cell suspensions were cultured in 20 L (T. terrestris) and 630 L (D. deltoidea and P. japonicus) bubble-type bioreactors under semi-continuous regime at 25 ± 1 °C in darkness (Appendix A, Figure A3). Cultivation conditions for each culture including medium composition, agitation, oxygen concentration, inoculum density etc. were described earlier [49,54,55]. Cell biomass was harvested from bioreactors at the point of maximum dry weight accumulation and separated from liquid medium on Nutsche filters under vacuum, then rinsed three times with distilled water. The resulting cell mass was dried on stainless-steel shelves at 45 ± 1 °C for 18 h. This dried cell powder (Appendix A, Figure A3) was used to prepare aqueous suspensions by infusing dried biomass into purified water at a ratio of 1:20 at room temperature for 7 h [50]. These suspensions were orally administrated to laboratory animals following the experimental scheme as described below.

2.2. Anti-Obesity Effects of Cell Biomass Preparations of D. deltoidea, T. terrestris, and P. japonicus

2.2.1. Laboratory Animal Husbandry

Inbred male Brown Norway rats were used in this study. The animals were kept under standard conditions in accordance with «OECD. Principles of good laboratory practice». The animals were provided with standard feed (“Complete feed for laboratory animals”, LLC “Laboratorkorm”, Moscow, Russia) and water (GOST 2874–82 “Drinking water”) ad libitum. Access to food was restricted prior to blood collection. Before the study, animals were quarantined in a separated room for 14 days. Each animal was assigned an individual number (a mark on the tail area with a permanent indelible marker, periodically updated).

2.2.2. Experimental Model of Alimentary Obesity and Antiobesity Effects of Cell Biomass Preparations

The animals were randomly divided into two groups: group 1 (n = 10) was an intact group receiving standard feed (SF); group 2 (n = 50) served to model alimentary obesity and received hypercaloric feed (HF) with an excess of easily digestible carbohydrates (Table 1). Hypercaloric feed was composed of standard feed (63%) with addition of rendered beef fat (19%), sucrose (10%), and isolated soy protein (8%) [56].
After three months on HF diet, changes in the body parameters of the animals including body weight (BW), fat mass (FM), fat-free mass (FFM), total body water (TBW), the amount of intra- and extracellular fluid (ICF and ECF), and BMI were analyzed by bioimpedance method (see below) [57,58]. Formation of obesity in group 2 rats receiving HF was confirmed by a significant increase in fat mass and BMI compared to group 1 receiving SF (Table 2).
During the next 3 months, subgroup 1 (intact animals) continued to receive standard feed while animals of group 2 with developed obesity were divided into subgroups 2 to 6 (Table 1). Subgroup 2 continued to receive HF only and served as an untreated control. Subgroup 3 received HF and daily subcutaneous injections of a reference drug liraglutide (Saxenda ©, Novo Nordisk, Denmark) (0.3 mg/kg in 1 mL 0.9% NaCl). Subgroups 4–6 received HF and phytopreparations (Table 1). Phytopreparations were administered intragastrically in concentrations equivalent to 100 mg dry cell biomass per kg animal weight once a day. The doses of liraglutide and phytopreparations used in this study were selected based on previously published recommendations [50,59,60].
The effects of the phytopreparations and liraglutide on the obese rats were evaluated after 6 months (including 3 months of obesity formation followed by 3 months of treatment with liraglutide or phytopreparations) using several parameters measured by bioimpedance spectroscopy (BIS) including fat mass, fat-free mass, total body water, the amount of intra- and extracellular fluid, as well as body weight, blood glucose, total cholesterol, and daily urine output (see below).

2.2.3. Bioimpedance Spectroscopy (BIS), Collection, and Evaluation of Biological Material

Bioimpedance spectroscopy, a noninvasive method for the estimation of body composition [57], was performed using ImpediVet BIS1 spectroscopic system (ImpediMed, USA). The device allows accurate measurement of the total body weight, extracellular and intracellular fluid volumes, fat-free mass, and fat mass, as well as body mass index. ImpediVet is a single-channel tetrapolar device that scans 256 frequencies from 4 to 1000 kHz. Low-frequency current passes through extracellular fluids but not through cell membranes; hence, the impedance at low frequencies relates to ECF volume. High-frequency current can travel through cell membranes and passes through both extracellular fluids and cells, thus relating to TBW. Calculation of ICF was performed by subtracting ECF from TBW [57]. Evaluation of fat mass and lean body mass is based on the difference in the water composition of muscles and adipose tissues [58]. The animals were anesthetized by a mixture of zoletil (25 mg/kg) and xylazine (10 mg/kg) and placed on a heated platform to maintain body temperature. Electrodes equipped with needles were inserted in the area of the nose, between the ears, at the base of the tail, and the coccygeal zone (Appendix A, Figure A4). Three consecutive measurements were performed on each animal with an interval of 3 s. The following constant parameters associated with the type of laboratory animals were used by default: body proportion (length to girth ratio) 1.0; body density 1.05 g/cm3; hydration constant 0.732; resistance coefficients ρi = 325; ρe = 752 [59].
Blood sampling was performed in alive animals by incising the gum between the lower incisors. After fixing the rat by hand with a sharp blade, a small incision was made in the gums (mixed blood). The blood was applied to glucometer test strips and/or collected in vacuum tubes with a blood coagulation activator. Blood glucose concentration was measured using Accu-Chek Active glucometer (Roche Diagnostics, Switzerland) with an accuracy of 0.1 mmol/L.
To measure total cholesterol (TC) level, blood sampling was performed in alive animals after an overnight (10–12 h) fast. After taking blood from the gums into Vacuette vacuum tubes with a blood coagulation activator, the tubes were left for 30 min to settle, then the blood was centrifuged for 10 min at 1000 rpm, the resulting serum was separated, and then centrifuged again for 15 min at 4000 rpm. The analysis of the serum was performed using a biochemical blood analyzer (Erba xl100 (Erba Lachema, Czech Republic).
Urine was collected within 24 h in metabolic cages ensuring the separation of feces and urine. The volume of daily urine was determined using laboratory volumetric glassware.

2.3. Effect of D. deltoidea Cell Biomass Preparation on Reproductive Functions of Laboratory Rats

From three cell lines tested for obesity treatments described in Section 2.2, phytopreparation from D. deltoidea cell biomass demonstrated the most profound positive effect. This phytopreparation was further tested for its potential effects on reproductive functions of laboratory rats.
Experiments were performed on clinically healthy SPF Wistar rats. Rats of the initial colony (generation F0), males and females, weighing 220 ± 15 g were randomly selected from the stock maintained at Animal Breeding Facility of BIBCh, RAS (the Unique Research Unit Bio-Model of the IBCh, RAS; the Bioresource Collection-Collection of SPF-Laboratory Rodents for Fundamental, Biomedical and Pharmacological Studies), which has an AAALACi accreditation. Animal husbandry conditions during the whole experiment were described earlier [49].
After 14 days of adaptation, F0 rats were divided into 2 groups (n = 14), experimental and control. Rats of the experimental group received a phytopreparation of D. deltoidea cell biomass which was supplied daily at the dose of 100 mg biomass/kg through polysulfone drinkers (Techniplast, Italy) for 80 days.
Reproductive function was evaluated by assessing the fertility of F0 animals and the postnatal development of F1 generation. For fertilization, female rats (n = 7 in each group) were housed together with males in a ratio of 2:1 for 14 days. The pregnancy of one or both females confirmed the fertility of the male. Fertility was determined as a percentage of the females that became pregnant and the males with fertilization ability out of total number of females/males. The average litter size, male-to-female ratio in the litter, and the number of live and dead newborns were also determined. Pup survival rate was determined twice: (i) from day 0 to day 5 as the percentage of pups survived by day 5 out of live newborns, and (ii) from day 6 to day 25 as the percentage of pups survived by day 25 out of number of pups alive at day 6.
The postnatal development of F1 generation was evaluated during the first 30 days of life by the number of live and dead newborns, dynamics of body weight, and general physical development [61,62,63]. Rat body weight was measured using Adventurer Pro electronic technical scales (Ohaus, Parsippany, NJ, USA) with an accuracy of ±0.1 g on days 4, 7, 11, 14, 18, 22, and 25 after birth.
At the end of the experiment (80 days), females of parental generation (F0) and generation F1 (30-day-old) were euthanized in the carbon dioxide chamber (VetTech, Congleton, UK), blood was collected, and general autopsy was performed.
Quantification of erythrocytes and platelets in the blood was performed on a fully automatic hematology analyzer Abacus junior vet 2.7 (Diatron Messtechnik GmbH, Austria) using Diatron reagent kits. Lymphocyte (LYM), granulocyte (GRA), and monocyte (MON) contents were determined on a Guava Easy Cyte flow cytometer (Merck Millipore, Germany) by detecting cell size and granularity. Total leukocyte count (WBC) was determined using the formula: WBC = LYM + GRA + MON. The relative content of lymphocytes, granulocytes, and monocytes was determined according to the formulas: LYM/WBC*100%, GRA/WBC*100%, MON/WBC*100%.
Biochemical parameters of blood serum were analyzed on a BioChem FC-360 automatic biochemical analyzer (HTI, Farmington, MI, USA) using HighTechnology reagent kits. The antioxidant status of the blood serum was evaluated as described earlier [64]. The level of malondialdehyde (MDA), the major lipid peroxidation product, in plasma was evaluated using the thiobarbituric acid reactive substances (TBARS) assay. Catalase (CAT) activity in blood plasma was determined on a spectrophotometer SF-2000 (OCB «Spectr», Russia) according to [65]: 720 µL of 50 mM phosphate buffer (pH = 7.0) was mixed with 800 µL of 0.1% hydrogen peroxide and absorbance (D0) was measured (wavelength 240 nm, 1 cm cuvettes) relative to the control sample. Next, 20 µL of plasma were added to the tubes and the absorbance (D1) was measured after 1.5 min of incubation. In the control, 800 µL of phosphate buffer was added instead of hydrogen peroxide. Concentration of reduced glutathione and glutathione reductase activity in serum was determined on a spectrophotometer SF-2000 (OCB «Spectr», Russia) using the Ellman’s reagent: 5,5′-dithiobis-(2-nitrobenzoic acid) (DTNB) dissolved in methanol. Total antioxidant activity was determined by the rate of the oxidation of the reduced form of 2,6-dichlorophenolindophenol (DCPIP) in the reaction medium using a spectrophotometer (HTI, HTI, Farmington, MI, USA) [65]. The de Ritis coefficient was calculated as the ratio of aspartate aminotransferase (AST) and alanine aminotransferase (ALT) activity according to the following formula [66]:
de   Ritis   coefficient = AST ALT
Autopsy of animals of all groups included a thorough examination of the external surface of the body, all orifices, intracranial, thoracic, and abdominal cavities, and their contents.
The research was approved by the bioethical commission of the V.M. Gorbatov Federal Research Centre for Food Systems of the Russian Academy of Sciences.

2.4. Statistical Data Analysis

Statistical analysis of the data obtained in the experiments on antiobesity effect of phytopreparations was performed using the GraphPad Prism 8 software package (GraphPad Software, San Diego, CA, USA). When assessing the significance of differences between the study groups, the hypothesis of the normal distribution of the trait was tested using the Kolmagorov–Smirnov test. In the case of a normal distribution, the parametric Student’s t-test (p < 0.1) was used, otherwise the nonparametric Mann–Whitney tests [67] were applied at p < 0.1. Data in figures and tables are presented as means followed by standard deviations.
Statistical analysis of data on phytopreparation effect on fertility was performed using STATISTICA 10 software. Results were presented as mean ± standard deviation, minimum and maximum values, or percentiles (P25–P75) depending on the dataset. Statistical validity was calculated using one-way ANOVA with Tukey’s test at p < 0.05.

3. Results

3.1. Antiobesity Effects of Cell Biomass Preparations

3.1.1. Alimentary Induced Obesity Model

As mentioned above, a hypercaloric, high-fat diet with an excess of digestible carbohydrates was used to model alimentary obesity. The rats receiving HF weighed 23.64% more than the animals on the standard diet (Table 2). After three months of receiving a hypercaloric diet, the fat mass of the animals and BMI were significantly higher, and the fat-free mass was significantly lower than in the group receiving the standard feed (Table 2). The total amount of water in the body decreased in the animals fed with hypercaloric food (Table 2). Simultaneously, we observed a decrease in ICF and an increase in ECF in rats on HF, which reflected a tendency to the intracellular dehydration.
After six months of the experiment, changes in animal body weight and blood glucose level were analyzed, and the results for subgroups 1–3 are given in Table 3 and Table 4. The final weight change was 12.57% in group №2 and −22.41% in group №3 compared to the intact animals of subgroup №1 (Table 3). The data presented in Table 2, Table 3 and Table 4 confirm that alimentary-induced obesity was successfully reproduced in the rat model according to the selected criteria [67]. Liraglutide effectively reduced both weight gain (Table 3) and the blood glucose level (Table 4) which justified its choice as a reference drug.

3.1.2. Hypoglycemic and Hypocholesterolemic Activity in Liraglutide and Phytopreparations of D. deltoidea, P. japonicus, and T. terrestris Cell Cultures

In the induced obesity model, treatment with phytopreparations effectively reduced the accumulation of body weight (Figure 1) compared to animals on HF without any treatment. However, their action was milder compared to the reference drug liraglutide.
The three-month treatment of obese animals with the cell biomass of D. deltoidea resulted in a significant decrease in the proportion of body fat mass (28.37 ± 5.49%) compared to both the control (41.5 ± 7.72%, p = 0.0007) and intact (36.23 ± 4.1%, p = 0.0034) groups (Figure 2). Consequently, there was a significant increase in FFM in the group of obese animals that received D. deltoidea cell biomass against the background of a hypercaloric diet (73.05 ± 6.70%) relative to the control (59.20 ± 4.61%, p = 0.0001) and intact (64.95 ± 4.07%, p = 0.0001) animals (Figure 2). Interestingly, these parameters were even better in the cell biomass-treated animals than in the animals of the intact group.
Rats that were injected with liraglutide against the background of a hypercaloric diet also demonstrated a significant decrease in FM and an increase in FFM when compared with the control HF group: 36.07 ± 7.60% vs. 41.50 ± 7.72% (p = 0.0209) for FM and 71.62% ± 10.13% vs. 63.93% ± 7.60% (p = 0.0462) for FFM (Figure 3). These values were close to the animals of the intact group.
The FM and FFM of the animals treated with the cell biomass of P. japonicus and T. terrestris laid in between the control (HF) and intact (SF) groups, i.e., these preparations caused a slight decrease in the fat mass accumulation of the obese animals, but the differences from the control group without treatment were insignificant (Figure 2).
The hypercaloric feed led to a notable decrease in the percentage of the total body water and ECF in rats compared to the group with the standard feed (Figure 3). Animals that received liraglutide treatment against the background of a hypercaloric diet also showed a significantly lower TBW and ECF compared to the intact group: 46.80 ± 5.57% vs. 52.43 ± 7.42% (p = 0.0372) for TBW and 41.89 ± 4.07% vs. 49.54 ± 6.30% (p = 0.0047) for ECF, but the differences from the control (HF) group were insignificant. The amount of the intracellular fluid of the animals receiving liraglutide was slightly higher than in the intact group: 58.11 ± 4.07% vs. 53.49 ± 5.13% (p = 0.0387).
The total body water content in the animals receiving the cell biomass of D. deltoidea was significantly higher compared with the control group: 51.92% ± 8.08% vs. 43.76% ± 4.18% (p = 0.0161) and similar to the intact group (Figure 3). In addition, both the ICF and ECF values in the Dioscorea-treated rats were slightly different from the intact group, and the balance was shifted toward intracellular fluid accumulation. Indeed, the amount of intracellular fluid in the Dioscorea animal group exceeded the amount of extracellular fluid: 58.87% ± 4.58% vs. 41.13% ± 4.32% (Figure 3). Administration of the T. terrestris and P. japonicus cell biomass did not cause any significant changes in the TBW and fluid distribution compared to the control HF group (Figure 3).
In this study, phytopreparations and liraglutide showed hypocholesterolemic and hypoglycemic effects (Figure 4). The most pronounced effect on the glucose level in the blood serum was noted in the animal groups that received the cell biomass of D. deltoidea (2.96 ± 0.29 mmol/L) and T. terrestris (2.92 ± 0.65 mmol/L) (Figure 4). The highest cholesterol-lowering activity was recorded for the cell biomass of P. japonicus (0.60 ± 0.015 mmol/L) in comparison with the control (p = 0.0004) and intact (p = 0.0240) groups (Figure 4).
The daily urine output in the intact and HF groups recorded before drug administration (3 months after the beginning of different feeding) ranged from 1.6 mL to 5.2 mL (indicated in Figure 5 by two horizontal lines). At the end of the experiment (after 3 months of treatment), an increase in the daily urine output was observed in the animals that received the cell biomass of D. deltoidea, T. terrestris, and P. japonicus compared to the control, intact, and liraglutide-receiving groups (Figure 5). The daily urine output of the rats treated with the P. japonicus cell biomass was more than two times higher than in the intact group and added up to 10.3 ± 2.2 mL. In the groups treated with the D. deltoidea and T. terrestris cell biomass, the daily urine volume was nearly similar (6.8 ± 3.1 mL and 6.1 ± 2.7 mL, respectively). In the rats that were injected with liraglutide against the background of a hypercaloric diet, no statistically significant change in the daily urine output (4.1 ± 2.0 mL) in comparison with the control and intact groups was observed (Figure 5).
In conclusion, phytopreparation from the Dioscorea deltoidea cells was the most efficient in normalizing the fat mass and liquid balance in animals with induced obesity. All three types of phytopreparations tested were comparable with the reference drug liraglutide in reducing the glucose and cholesterol level in the blood. Administration of cell biomass also increased urine output. Based on these results, the phytopreparation of D. deltoidea was selected for further analysis of its potential effect on the reproductive functions and antioxidant activity in rats.

3.2. The Analysis of Possible Toxic Effects of D. deltoidea Phytopreparation on Reproductive Functions

The fertility of both females and males in the control and experimental groups was 100%. No birth-related mortality was observed in the F0 females of both groups.
A comparative analysis of the F0 rats mating results is presented in Table 5. The total number of newborn pups in the experimental group was 12% lower compared to the control group. The experimental group showed a lower variation in the average litter size (7–9 pups) compared to the control group (4–11 pups). The ratio of males and females in the experimental group was nearly equal while in the control group the number of males was 1.7 times higher than females. In both groups, the variations in reflex development were typical for the rats of this line (Table 5).
Analysis of the weight dynamics in the F1 generation (Figure 6) revealed that the pups of the experimental group whose parents received the phytopreparations of D. deltoidea gained weight more intensively than the animals of the control group during the whole period of observation. This tendency was the most pronounced from the 4th to 7th day and by the 25th day. The increase in body weight during this period in the animals of the experimental group reached 49% in comparison with 36% in the control group.
Analysis of the hematological test panel revealed no significant changes between the control and experimental groups of the F0 (parent) and F1 rats. The only significant increase was observed in the leukocyte content in the F0 rats, mostly due to lymphocytes (up to 30%), while the content of immature leukocyte forms, granulocytes and monocytes, remained at the control level (Table A1). Among the indices of the functional activity of erythrocytes (Table A2), a slight decrease was recorded in hematocrit while the concentration of hemoglobin in erythrocytes increased (up to 4%). No statistically significant changes between the groups were found with regard to the platelet component (Table A2).
The comparative analysis of the blood serum biochemistry (Table A3) revealed that the administration of D. deltoidea caused a significant increase in alanine aminotransferase activity (by over 15%), gamma-glutamyltranspeptidase (up to 40%), and urea (by 10%) in the F0 parent rats compared to the control. Minor increases in the activity of aspartate aminotransferase, alkaline phosphatase, and lactate dehydrogenase (up to 10%) were statistically insignificant. At the same time, the de Ritis ratio also did not significantly differ between the groups. In the experimental F1 rats, a nonsignificant increase in the total protein content (by 7%, mostly due to the albumin fraction) and a significant increase in creatinine (by 11%) were recorded compared to the F1 control group (Table A3). Minor insignificant decreases in aspartate aminotransferase and alkaline phosphatase activity (to 15% and 7%, respectively) were also detected.
The analysis of the antioxidant potential of the blood (Table 6) demonstrated a significant decrease in the total antioxidant activity of the blood (by 7%) in the rats of the F1 experimental group alongside an elevated malondialdehyde content (over 10%), reduced glutathione (up to 30%), and catalase activity (up to 40%). In the F1 generation, a significant increase in the total blood antioxidant activity (by 15%) and reduced glutathione (up to 40%) were detected in the experimental group compared to the control.
It should be noted that the observed fluctuations in the hematological and biochemical blood parameters were within the physiological norm for this animal type.
Based on the results of the autopsy, macroscopic examination, and analysis of the relative weight of the internal organs, no differences were found between the animals of the experimental and control groups of the F0 and F1 generations (Table A4).

4. Discussion

Bioreactor-grown plant cell cultures are frequently acknowledged as a sustainable and renewable source of vegetative biomass rich in valuable phytochemicals. However, the phytochemical composition of such biomass may be altered compared to their respective donor plants. This, for example, was the case in the Digitalis lanata cell culture which contained a complex mixture of phenylethanoid compounds, including digiciliside A, digiciliside B, maxoside, purpureaside E, and their methyl derivatives and isomers, as well as seven furostanol glycosides with aglycones tigogenin and gitogenin but not cardiac glycosides that are major bioactive metabolites of the plants [68]. Phytoecdysteroid composition in the cell cultures of Ajuga turkestanica was narrowed compared to hairy roots or whole plants while a number of phenylpropanoids were detected in callus cultures [69,70]. Significant differences in the composition of phenolic compounds were revealed between the in vitro cell cultures and plant roots of Phlojodicarpus sibiricus, an endangered endemic species of Eastern Siberia [71]. The ratio of furostanol and spirostanol-type glycosides differed between the plant rhizomes and several cell culture strains of Dioscorea deltoidea [72]. The cell culture of Panax japonicus used in the present study accumulated high levels of “acidic” ginsenosides (malonyl derivatives of dammarane ginsenosides and glycosides of oleanolic acid) in contrast to the plant roots where neutral ginsenosides are usually prevailing [73]. Phenylethanoids are major compounds in the cell culture of Tribulus terrestris, but only trace amounts of these chemicals are usually found in plants [74]. Therefore, there is a nonzero chance that cell biomass will show different biological actions compared to what was reported for plants of the same species. In view of these differences, the biological activity cell-culture-based phytopreparations or their crude extracts should be thoroughly investigated before they could be recommended for use.

4.1. Antiobesity Effects of Cell Biomass Preparations of D. deltoidea, T. terrestris, and P. japonicus

A hypercaloric, high-fat diet with an excess of easily digestible carbohydrates was used to model alimentary obesity. This diet affects fat and carbohydrate metabolism in animals, in particular contributing to the development of liver steatosis.
There are many experimental models of obesity: genetic, neuroendocrine, surgical, diet-induced, and others. However, the diet-induced obesity is believed to most closely resemble the obesity in humans based on both etiology and developmental mechanisms. Among diet-induced obesity models, high-fat, high-carbohydrate and combined high-fat and high-carbohydrate models are the most commonly used [75,76]. High-fat and high-carbohydrate models are not very effective, and obesity develops slowly on high-carbohydrate/low-fat models [77]. Combined diets (“cafeteria diet”, “western diet”) do not always allow clear differentiation between the obesity-induced disorders and disorders caused by the deficiency of vitamins and minerals [78,79]. Therefore, in this study, a hypercaloric, high-fat diet was used to induce obesity [78,80]. Animal fats used in such diets are rich in saturated fatty acids that usually cause a more rapid and profound weight gain than the same amounts of polyunsaturated fats [77,81]. Male rats of the wild type are often used in the obesity studies [82,83] since they are omnivores like humans, have similar taste buds, food identification, and digestion systems. Neuroanatomically, they are also close to humans in terms of the brain areas that control food intake [84]. According to several researchers, diet-induced models on the wild rat type are closer to the pathogenesis of human obesity than models on genetically modified animals which can develop obesity on conventional diets [84,85].
In our study, the bioimpedance analysis clearly demonstrated the developed differences in the body composition between rats receiving hypercaloric or standard feed. The BIS method is relatively noninvasive and shows excellent reproducibility when assessing the body condition in dynamics, which is particularly important while modeling alimentary obesity in vivo [86]. There was a direct significant relationship between the excess body weight and fat mass. According to the results of our study, there was an increase in the fat mass and, consequently, in the body weight of the animals receiving a hypercaloric diet. The weight gain was mostly due to an increase in the fat mass and less due to an increase in the muscle mass. As obesity progressed, the animals receiving the hypercaloric feed had a decreased total body water (by ca. 20%) compared to the animals on standard feed, mostly due to intracellular dehydration.
Liraglutide was chosen as a reference drug due to the absence of the similarly effective herbal remedies for obesity treatment. Liraglutide also has an advantage over orlistat and sibutramine due to its pleiotropic effects, including hypoglycemic action, proven safety profile, and absence of excitatory activity. Liraglutide administered at 200 mg/kg twice a day significantly reduced the blood glucose, serum total cholesterol, TG, and low-density lipoprotein (LDL) cholesterol. It also reduced the intensity of lipid deposition in the liver in the db/db mice receiving a hypercaloric diet [87]. Bugáňová et al. [88] reported that liraglutide treatment reduced glucose levels by 1.8 times and triglycerides by 28% against a background of fasting compared to the control group of mice. Similarly, in the present study, liraglutide reduced the cholesterol content in the blood serum of the obese animals by 36% and glucose levels by 42% compared to the animals without treatment. Hansen et al. [89] found that liraglutide significantly reduced the body weight of the male Sprague Dawley rats with developed alimentary-induced obesity. Similar to our study, the drug promoted a decrease in the fat mass in rats on a hypercaloric diet [89]. In the study of Bugáňová et al. [88], liraglutide demonstrated the ability to reduce the body weight of animals with HCD-induced obesity. In our study, liraglutide contributed to a 19.5% reduction in the fat mass in Brown Norway rats with induced obesity.
As discussed earlier, the effectiveness of plant cell biomass extracts against induced obesity was assessed using bioreactor-produced cell cultures of the medicinal plants Panax japonicus, Dioscorea deltoidea, and Tribulus terrestris with bioactive secondary metabolites: triterpene and steroid glycosides. Plant extracts of these species show a wide range of biological actions, including reduction in body weight and appetite suppression, effects on leptin, ghrelin, and adiponectin levels, inhibition of pancreatic lipase activity which prevents digestion and absorption of fats and carbohydrates, reduction in the glucose, total cholesterol, and triglyceride content in the blood, etc. [35,36,37,38,39,40,41,42,43,44,45,46,47,48]. The weight-reducing ability of T. terrestris plant extracts has been reported [43]. Although the effect of D. deltoidea plant extracts on weight during obesity has never been explored, Jeong et al. [90] reported the antiobesity effect of the extract from the closely related species, D. oppositifolia, on diet-induced obese mice. The authors observed a decrease in total body weight and parametrial adipose tissue weight, as well as a decrease in total cholesterol, triglyceride level, and LDL-cholesterol in the blood serum. An earlier study of the methanolic extract of D. nipponica powder demonstrated its effectiveness against body and adipose tissue weight gains in rodents induced by a high-fat diet [47]. Lee et al. [91] showed that the intake of fresh leaf extracts (3.3 mg/kg/day) or dried leaf extracts (3.3 mg/kg/day) of P. japonicus caused a slight decrease in body weight in obese rats, but the effect was statistically insignificant. In the present study, no significant changes in body weight were observed in animals with induced alimentary obesity who received aqueous extracts of biomass of the cell cultures compared to the other groups. However, the intake of D. deltoidea cell biomass infusion led to a significant decrease in the body fat mass (up to 27%) of the obese animals and a significant increase in the fat-free mass (up to 11%).
All three preparations of cell biomass showed hypocholesterolemic and hypoglycemic effects that were most pronounced in the animal groups receiving D. deltoidea and T. terrestris extracts. These data are in agreement with the literature data. For example, T. terrestris plant extracts were shown to significantly reduce the level of the total cholesterol and glucose in the blood [41,44]. Similar effects were observed for the extracts of various species of Dioscorea also containing steroid glycosides. Several animal studies have shown the antilipemic effects of sapogenin and diosgenin-rich extracts of Dioscorea species on hypercholesterolemic animals such as mice and rats, thus resulting in the reduction in the concentrations of blood cholesterol [92]. Another study demonstrated constant improvement in the cholesterol profile of the liver and plasma of mice fed with 50% raw lyophilized yam for 21 days [93]. A dose-dependent glucose-lowering effect on glucose during type 2 diabetes was observed for P. japonicus [94].

4.2. Effect of D. deltoidea Cell Biomass Preparation on Reproductive Functions of Laboratory Rats

Our study demonstrated that the aqueous extract of D. deltoidea cell culture was the most promising for the complex treatment of obesity. Therefore, an additional series of experiments was performed to assess the possible toxic effect of this biotechnologically produced substance on the reproductive functions and offspring development in laboratory rats. Administration of D. deltoidea cell biomass at the dose of 100 mg/kg to rats during the period of mating and nursing had no toxic effect on their reproductive functions: the fertility of rats remained 100% and no mortality was observed. At the same time, long-term intake of D. deltoidea cell biomass can affect liver function, while de Ritis coefficient values indicate the absence of hepatocellular damage to the liver [95]. Such effects require further research.
After the completion of the lactation period, the health status of both the F0 females and pups was investigated by means of clinical, hematological, biochemical, and pathological anatomical studies. A minor positive effect of D. deltoidea cell preparation on blood immune activity was observed as reflected by an increase in the leukocyte and lymphocyte content and hemoglobin content in erythrocytes. A slight shift in the antioxidant system activity in the blood of the F0 animals was also observed, which to some extent was compensated by the proportional increase in glutathione (up to 30%) and catalase (up to 40%) [96,97].
Comparative analysis of the postnatal development data of the F1 offspring from the animals of the experimental parental group consuming D. deltoidea phytopreparation revealed a high survival rate, even number of cubs in a litter, and more even distribution of females and males than in the control group, as well as a more intensive weight gain (body weight gain by day 30 was 49% against 36% in the control). The experimental animals showed an increase in total protein and albumin contents (by 7% and 5%) and a statistically significant creatinine increase up to 11%. As for the blood antioxidant potential, there was an increase in total antioxidant activity of 15% and reduced glutathione up to 40%. Taken together, these data may indirectly indicate a more active protein assimilation in the animals of the experimental groups.

5. Conclusions

This study presents the results of the preliminary screening of the antiobesity activity of the phytopreparations based on the biotechnologically produced cell cultures of D. deltoidea, T. terrestris, and P. japonicus. Cell culture in vitro is not a full equivalent of the whole plant and, as such, requires thorough investigation and clinical trials before it could be recommended for human treatment.
A comparative evaluation of cell culture extracts in relation to the reference drug liraglutide in the model of alimentary obesity indicated that phytopreparations were efficient in reducing the body fat mass and restored the intracellular-to-extracellular fluid balance in the obese animals. The positive effects were decreasing in the line D. deltoidea > liraglutide > intact group > T. terrestris > P. japonicus > control group (no treatment).
In addition, the aqueous extracts of the cell cultures showed hypocholesterolemic activity which could be ranged by efficiency in the line P. japonicus > D. deltoidea > T. terrestris/liraglutide > intact group > control group. The hypoglycemic effect was most prominent for the cell biomass of D. deltoidea and T. terrestris and decreased in the order T. terrestris > D. deltoidea > P. japonicus > liraglutide > intact group > control group. Cell preparations influenced the daily diuresis of the animals which increased with the treatment with P. japonicus > T. terrestris > D. deltoidea > liraglutide > intact group > control group. Phytopreparation of P. japonicus significantly increased the daily diuresis compared to the control level.
Based on the results presented, the water extract of the D. deltoidea cell biomass was the most efficient for the obesity treatment and its positive effects sometimes exceeded those of the reference drug liraglutide.
An additional safety assessment of D. deltoidea cell phytopreparation showed no toxic effect on the reproductive function of the animals and their offspring. Therefore, this substance has great potential for the treatment of obesity in women of fertile age.
The experiments presented here should be expanded to test the functional role of biotechnologically derived phytoproducts in other models of obesity to further investigate their effects on induced metabolic disorders. We hope that the results of this study will stimulate a wider application of plant cell cultures as safe and effective supportive remedies for the treatment of obesity and obesity-related complications, particularly during the long-term treatment.

Author Contributions

Conceptualization, M.N.P., D.Y.I. and M.V.T.; methodology and investigation, D.Y.I., M.V.K., I.M.I., A.G.K., E.R.V. and L.V.F.; data analysis, D.Y.I., M.N.P., E.V.P., E.R.V. and M.V.T.; writing—original draft preparation, M.N.P., M.V.T. and E.V.P.; writing—review and editing, M.N.P., E.V.P., M.V.T., E.R.V. and A.M.N.; supervision and project administration, M.N.P., M.V.T., L.V.F. and A.M.N.; funding acquisition, M.N.P., M.V.T. and A.M.N. All authors have read and agreed to the published version of the manuscript.

Funding

Bioreactor cultivation of plant cell suspensions was performed using the equipment of the large-scale research facilities “Experimental biotechnological facility” and “All-Russian Collection of cell cultures of higher plants” of the IPPRAS (EBF IPPRAS and ARCCC HP IPPRAS). Cell strain cultivation and bioreactor production of biomass were financially supported within the state assignments of the Ministry of Science and Higher Education of the Russian Federation, themes No. 122042700045-3 (cell culture obtainment and maintenance) and No. 122042600086-7 (bioreactor production of biomass), respectively. Evaluation of cell biomass effects in obesity models and toxicological analysis were financially supported by Russian Science Foundation project No. 19-14-00387.

Institutional Review Board Statement

The research was approved by the bioethical commission of the V.M. Gorbatov Federal Research Centre for Food Systems of the Russian Academy of Sciences (protocol #12/2016). All studies were conducted in strict accordance with Russian and international directives on experiments using laboratory animals: Russian Ministry of Health Directives No. 267 «On approval of regulations of laboratory routine» (19 June 2003), No. 742 «On approval of regulations of laboratory routine using experimental animals» (13 November 1984), No. 48 «On control of laboratory routine using experimental animals» (23 January 1985), the International animal welfare act (EU Directive 2010/63/EU).

Informed Consent Statement

Not applicable.

Data Availability Statement

No new datasets were generated during this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. White cell distribution in blood of control and experimental groups of F0 and F1 rats. Parent rats (F0) of the experimental group received the phytopreparation of Dioscorea deltoidea cell biomass.
Table A1. White cell distribution in blood of control and experimental groups of F0 and F1 rats. Parent rats (F0) of the experimental group received the phytopreparation of Dioscorea deltoidea cell biomass.
ParametersReference Values 1Group
Experimental F0Control F0Experimental F1Control F1
White blood cells, 109/L0.96–7.885.75 ± 0.74 *4.12 ± 0.695.01 ± 0.844.15 ± 1.04
Lymphocytes, 109/L0.68–6.804.87 ± 0.663.35 ± 0.604.25 ± 1.583.89 ± 1.36
Monocytes, 109/L0.02–0.290.06 ± 0.020.04 ± 0.010.16 ± 0.100.14 ± 0.07
Granulocytes, 109/L0.15–1.110.76 ± 0.100.74 ± 0.040.94 ± 0.470.56 ± 0.19
Lymphocytes, %48.9–88.181.39 ± 1.2780.46 ± 1.4383.50 ± 5.2082.90 ± 5.10
Monocytes, %1.3–9.01.02 ± 0.190.85 ± 0.071.23 ± 0.380.86 ± 0.16
Granulocytes,%8.8–43.817.40 ± 1.4218.57 ± 1.4815.21 ± 5.3116.24 ± 5.23
* significantly different from the control group at p < 0.05 1 according to [98].
Table A2. Hematological test panel of control and experimental groups of F0 and F1 rats. Parent rats (F0) of the experimental group received the phytopreparation of Dioscorea deltoidea cell biomass.
Table A2. Hematological test panel of control and experimental groups of F0 and F1 rats. Parent rats (F0) of the experimental group received the phytopreparation of Dioscorea deltoidea cell biomass.
ParametersReference Values 1Group
Experimental F0Control F0Experimental F1Control F1
Red Blood Cells Parameters
Red blood cells, 1012/L7.16–9.247.81 ± 0.098.02 ± 0.108.87 ± 0.608.51 ± 0.24
Hemoglobin, g/L137–172145.30 ± 1.30148.00 ± 2.00153.28 ± 7.14154.07 ± 6.43
Hematocrit, %38.5–59.239.96 ± 0.40 *41.40 ± 0.5245.19 ± 3.9445.02 ± 1.49
Mean erythrocyte volume, µm350.3–57.051.08 ± 0.3451.71 ± 0.4151.42 ± 2.1752.86 ± 1.41
Mean hemoglobin concentration in erythrocyte, g/L332–378363.80± 2.70 *357.20 ± 2.10338.54 ± 5.51340.21 ± 5.47
Red blood cells distribution, %10.6–14.614.91 ± 0.2614.71 ± 0.1216.06 ± 0.7215.81 ± 0.95
Platelets parameters
Platelets, 109/L599–1144631.9 ± 25.2663.0 ± 21.60664.38 ± 67.51627.36 ± 47.94
Plateletcrit, %-0.41 ± 0.020.43 ± 0.020.42 ± 0.050.40 ± 0.04
Mean platelet volume, µm36.4–9.56.51 ± 0.046.49 ± 0.036.39 ± 0.266.44 ± 0.2
Platelet distribution, %-32.94 ± 0.2632.69 ± 0.1832.38 ± 0.932.31 ± 0.75
* significantly different from the control group at p < 0.05 1 according to [98].
Table A3. Biochemical parameters of blood of control and experimental groups of F0 and F1 rats. Parent rats (F0) of the experimental group received the phytopreparation of Dioscorea deltoidea cell biomass.
Table A3. Biochemical parameters of blood of control and experimental groups of F0 and F1 rats. Parent rats (F0) of the experimental group received the phytopreparation of Dioscorea deltoidea cell biomass.
ParametersReference Values 1Group
Experimental F0Control F0Experimental F1Control F1
Total protein, g/L57–8370.63 ± 1.7169.13 ± 1.1574.88 ± 5.2469.41 ± 2.46
Albumin, g/L37-–5847.97 ± 1.9847.99 ± 1.0450.46 ± 5.2748.31 ± 3.4
Creatinine, µmol/L9.0–70.056.17 ± 3.1058.57 ± 1.1962.15 ± 3.04 *55.43 ± 3.55
Urea, mmol/L4.28–8.576.95 ± 0.13 *6.25 ± 0.208.82 ± 0.498.19 ± 0.52
Total bilirubin, µmol/L1.2–3.593.10 ± 0.032.93 ± 0.162.84 ± 0.573.03 ± 0.43
Direct bilirubin, µmol/l0.51–1.202.30 ± 0.102.27 ± 0.082.15 ± 0.362.17 ± 0.26
Aspartate aminotransferase, U/L64–222110.3 ± 6.4100.1 ± 5.8106.22 ± 21.61128.06 ± 19.19
Alanine aminotransferase, U/L14–6430.59 ± 0.12 *25.83 ± 0.1755.56 ± 3.4459.14 ± 7.81
Alkaline phosphatase, U/L62–230128.0 ± 5.3118.7 ± 8.6176.41 ± 30.12190.26 ± 29.78
Gamma glutamyltransferase, U/L0–42.57 ± 0.29 *1.66 ± 0.261.77 ± 0.591.82 ± 0.67
Lactate dehydrogenase, U/L50–700281.9 ± 25.2245.6 ± 17.6358.03 ± 47.9341.9 ± 52.42
Total cholesterol, mmol/L0.60–2.522.10 ± 0.062.04 ± 0.052.31 ± 0.372.37 ± 0.40
Triglycerides, mmol/L0.18–1.931.40 ± 0.151.11 ± 0.071.88 ± 0.452.06 ± 0.39
Glucose, mmol/L3.92–12.2111.82 ± 0.1412.39 ± 0.5210.43 ± 4.110.76 ± 3.38
* significantly different from the control group at p < 0.05 1 according to [99].
Table A4. The relative organ weight (% body weight) in rats of control and experimental F0 and F1 groups. Parent rats (F0) of the experimental group received the phytopreparation of Dioscorea deltoidea cell biomass.
Table A4. The relative organ weight (% body weight) in rats of control and experimental F0 and F1 groups. Parent rats (F0) of the experimental group received the phytopreparation of Dioscorea deltoidea cell biomass.
OrganGroup
Experimental F0Control F0Experimental F1Control F1
Spleen0.22 ± 0.030.23 ± 0.020.21 ± 0.020.20 ± 0.01
Kidney0.31 ± 0.030.30 ± 0.020.28 ± 0.020.27 ± 0.01
Liver3.34 ± 0.183.21 ± 0.263.12 ± 0.222.93 ± 0.16
Heart0.36 ± 0.040.37 ± 0.030.29 ± 0.030.32 ± 0.03
Thymus0.13 ± 0.020.14 ± 0.030.17 ± 0.030.19 ± 0.02
Figure A1. Stock cultures of (a) Dioscorea deltoidea, strain DM-05-03, (b) Panax japonicus, strain 62, and (c) Tribulus terrestris, strain Tter8 maintained in the All-Russian Collection of Plant Cell Cultures (Institute of Plant Physiology of Russian Academy of Sciences, Moscow).
Figure A1. Stock cultures of (a) Dioscorea deltoidea, strain DM-05-03, (b) Panax japonicus, strain 62, and (c) Tribulus terrestris, strain Tter8 maintained in the All-Russian Collection of Plant Cell Cultures (Institute of Plant Physiology of Russian Academy of Sciences, Moscow).
Nutrients 15 00656 g0a1
Figure A2. Microscopic photographs of the suspension cultures of (a) Dioscorea deltoidea, strain DM-05–03, (b) Panax japonicus, strain 62, and (c) Tribulus terrestris, strain Tter8.
Figure A2. Microscopic photographs of the suspension cultures of (a) Dioscorea deltoidea, strain DM-05–03, (b) Panax japonicus, strain 62, and (c) Tribulus terrestris, strain Tter8.
Nutrients 15 00656 g0a2
Figure A3. (ac) Bioreactor-grown and air-dried biomass powder of (a) Dioscorea deltoidea, strain DM-05-03, (b) Panax japonicus, strain 62, and (c) Tribulus terrestris, strain Tter8; (d) 630-l bioreactor for cultivation of plant cell suspensions; (e) dried cell biomass from a 630-l bioreactor.
Figure A3. (ac) Bioreactor-grown and air-dried biomass powder of (a) Dioscorea deltoidea, strain DM-05-03, (b) Panax japonicus, strain 62, and (c) Tribulus terrestris, strain Tter8; (d) 630-l bioreactor for cultivation of plant cell suspensions; (e) dried cell biomass from a 630-l bioreactor.
Nutrients 15 00656 g0a3
Figure A4. Bioimpedance spectroscopy (BIS) analysis.
Figure A4. Bioimpedance spectroscopy (BIS) analysis.
Nutrients 15 00656 g0a4

References

  1. Dai, H.; Alsalhe, T.A.; Chalghaf, N.; Riccò, M.; Bragazzi, N.L.; Wu, J. The global burden of disease attributable to high body mass index in 195 countries and territories, 1990–2017: An analysis of the global burden of disease study. PLoS Med. 2020, 17, e1003198. [Google Scholar] [CrossRef] [PubMed]
  2. GBD 2019 Risk Factors Collaborators. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. Lancet 2020, 396, 1223–1249. [Google Scholar]
  3. WHO Obesity and Overweight. Available online: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight. (accessed on 25 November 2022).
  4. World Health Organization Global Health Observatory Data Repository. Prevalence of Obesity Among Adults, BMI ≥ 30, Age-Standardized. Estimates by Country. Available online: http://apps.who.int/gho/data/node.main.A900A?lang=en (accessed on 25 November 2022).
  5. Di Cesare, M.; Sorić, M.; Bovet, P.; Miranda, J.J.; Bhutta, Z.; Stevens, G.A.; Laxmaiah, A.; Kengne, A.P.; Bentham, J. The epidemiological burden of obesity in childhood: A worldwide epidemic requiring urgent action. BMC Med. 2019, 17, 212. [Google Scholar] [CrossRef] [Green Version]
  6. WHO European Regional Obesity Report 2022. Available online: https://apps.who.int/iris/bitstream/handle/10665/353747/9789289057738-eng.pdf (accessed on 25 November 2022).
  7. Afshin, A.; GBD 2015 Obesity Collaborators. Health effects of overweight and obesity in 195 countries over 25 years. N. Engl. J. Med. 2017, 377, 13–27. [Google Scholar]
  8. Nyberg, S.T.; Batty, G.D.; Pentti, J.; Virtanen, M.; Alfredsson, L.; Fransson, E.I.; Goldberg, M.; Heikkilä, K.; Jokela, M.; Knutsson, A.; et al. Obesity and loss of disease-free years owing to major non-communicable diseases: A multicohort study. Lancet Public Health 2018, 3, e490–e497. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Zhou, Y.; Chi, J.; Lv, W.; Wang, Y. Obesity and diabetes as high-risk factors for severe coronavirus disease 2019 (COVID-19). Diabetes/Metab. Rese. Rev. 2021, 37, e3377. [Google Scholar] [CrossRef] [PubMed]
  10. Larsson, S.C.; Burgess, S. Causal role of high body mass index in multiple chronic diseases: A systematic review and meta-analysis of Mendelian randomization studies. BMC Med. 2021, 19, 320. [Google Scholar] [CrossRef]
  11. Wei, W.; Zhang, X.; Zhou, B.; Ge, B.; Tian, J.; Chen, J. Effects of female obesity on conception, pregnancy and the health of offspring. Front. Endocrinol. 2022, 13, 949228. [Google Scholar] [CrossRef]
  12. Silvestris, E.; de Pergola, G.; Rosania, R.; Loverro, G. Obesity as disruptor of the female fertility. Reprod. Biol. Endocrinol. 2018, 16, 22. [Google Scholar] [CrossRef]
  13. Crujeiras, A.B.; Casanueva, F.F. Obesity and the reproductive system disorders: Epigenetics as a potential bridge. Hum. Reprod. Update 2015, 21, 249–261. [Google Scholar] [CrossRef] [Green Version]
  14. Shi, Q.; Wang, Y.; Hao, Q.; Vandvik, P.O.; Guyatt, G.; Li, J.; Chen, Z.; Xu, S.; Shen, Y.; Ge, L.; et al. Pharmacotherapy for adults with overweight and obesity: A systematic review and network meta-analysis of randomised controlled trials. Lancet 2022, 399, 259–269. [Google Scholar] [CrossRef]
  15. Padwal, R.; Kezouh, A.; Levine, M.; Etminan, M. Long-term persistence with orlistat and sibutramine in a population-based cohort. Int. J. Obes. 2007, 31, 1567–1570. [Google Scholar] [CrossRef] [PubMed]
  16. Bray, G.A.; Ryan, D.H. Medical therapy for the patient with obesity. Circulation 2012, 125, 1695–1703. [Google Scholar] [CrossRef] [PubMed]
  17. James, W.P.T.; Caterson, I.D.; Coutinho, W.; Finer, N.; Van Gaal, L.F.; Maggioni, A.P.; Torp-Pedersen, C.; Sharma, A.M.; Shepherd, G.M.; Rode, R.A.; et al. Effect of sibutramine on cardiovascular outcomes in overweight and obese subjects. N. Engl. J. Med. 2010, 363, 905–917. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Apovian, C.M.; Rubin, D. A randomized phase 3 trials of naltrexone SR bupropion SR on weight and obesity related risk factors (COR-II). Obesity 2016, 21, 935–943. [Google Scholar] [CrossRef] [Green Version]
  19. Astrup, A.; Carraro, R.; Finer, N.; Harper, A.; Kunesova, M.; Lean, M.E.; Niskanen, L.; Rasmussen, M.F.; Rissanen, A.; Rössner, S.; et al. Safety, tolerability and sustained weight loss over 2 years with the once-daily human GLP-1 analog, liraglutide. Int. J. Obes. 2012, 36, 843–854. [Google Scholar] [CrossRef] [Green Version]
  20. Pi-Sunyer, X.; Astrup, A.; Fujioka, K.; Greenway, F.; Halpern, A.; Krempf, M.; Lau, D.C.; le Roux, C.W.; Violante Ortiz, R.; Jensen, C.B.; et al. A randomized, controlled trial of 3.0 mg of liraglutide in weight management. N. Engl. J. Med. 2015, 373, 11–22. [Google Scholar] [CrossRef]
  21. Bhat, S.P.; Sharma, A. Current drug targets in obesity pharmacotherapy—A review. Curr. Drug Targets 2017, 18, 983–993. [Google Scholar] [CrossRef]
  22. Tak, Y.J.; Lee, S.Y. Anti-obesity drugs: Long-term efficacy and safety: An updated review. World J. Mens Health 2021, 39, 208–221. [Google Scholar] [CrossRef] [Green Version]
  23. Sharma, T.; Kanwar, S.S. Phytomolecules for obesity and body weight management. J. Biochem. Cell Biol. 2018, 1, 101. [Google Scholar]
  24. Kazemipoor, M.; Cordell, G.A.; Sarker, M.M.R.; Radzi, C.W.J.B.W.M.; Hajifaraji, M.; Kiat, P. Alternative reatments for weight loss: Safety/risks and effectiveness of anti-obesity medicinal plants. Int. J. Food Prop. 2015, 18, 1942–1963. [Google Scholar] [CrossRef]
  25. Liu, Y.; Sun, M.; Yao, H.; Liu, Y.; Gao, R. Herbal medicine for the treatment of obesity: An overview of scientific evidence from 2007 to 2017. Evid. Based Complement. Altern. Med. 2017, 2017, 8943059. [Google Scholar] [CrossRef] [PubMed]
  26. Hu, Z.; Yang, X.; Ho, P.C.L.; Chan, S.Y.; Heng, P.W.S.; Chan, E.; Duan, W.; Koh, H.L.; Zhou, S. Herb-drug interactions. Drugs 2005, 65, 1239–1282. [Google Scholar] [CrossRef] [PubMed]
  27. Briskin, D.P. Medicinal plants and phytomedicines. Linking plant biochemistry and physiology to human health. Plant Physiol. 2000, 124, 507–514. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Benzie, I.F.; Wachtel-Galor, S. Herbal Medicine: Biomolecular and Clinical Aspects; CRC Press: Boca Raton, FL, USA; Taylor &Francis: Abingdon, UK, 2011. [Google Scholar]
  29. Karole, S.; Shrivastava, S.; Thomas, S.; Soni, B.; Khan, S.; Dubey, J.; Dubey, S.P.; Khan, N.; Jain, D.K. Polyherbal formulation concept for synergic action: A review. J. Drug. Deliv. Ther. 2019, 9, 453–466. [Google Scholar] [CrossRef]
  30. Chandrasekaran, C.; Vijayalakshmi, M.; Prakash, K.; Bansal, V.; Meenakshi, J.; Amit, A. Herbal approach for obesity management. Am. J. Plant. Sci. 2012, 3, 1003–1014. [Google Scholar] [CrossRef] [Green Version]
  31. Wang, H.-N.; Xiang, J.-Z.; Qi, Z.; Du, M. Plant extracts in prevention of obesity. Crit. Rev. Food Sci. Nutr. 2022, 62, 2221–2234. [Google Scholar] [CrossRef]
  32. Zhang, A.L.; Changli, X.C.; Fong, H.H.S. Integration of herbal medicine into evidence-based clinical practice: Current status and issues. In Herbal Medicine: Biomolecular and Clinical Aspects, 2nd ed.; Benzie, I.F.F., Wachtel-Galor, S., Eds.; CRC Press: Boca Raton, FL, USA; Taylor & Francis: Abingdon, UK, 2011. [Google Scholar]
  33. Davoodi, A.; Khoshvishkaie, E.; Azadbakht, M. Plant cells technology as an effective biotechnological approach for high scale production of pharmaceutical natural compounds; A meta-analysis study. Pharm. Biomed. Res. 2019, 5, 1–9. [Google Scholar] [CrossRef]
  34. Xu, J.; Zhang, N. On the way to commercializing plant cell culture platform for biopharmaceuticals: Present status and prospect. Pharm. Bioprocess 2014, 2, 499–518. [Google Scholar] [CrossRef] [Green Version]
  35. Amerikanou, C.; Kaliora, A.C.; Gioxari, A. The efficacy of Panax ginseng in obesity and the related metabolic disorders. Pharm. Res. Mod. Chin. Med. 2021, 1, 100013. [Google Scholar] [CrossRef]
  36. Park, H.S.; Cho, J.H.; Kim, K.W.; Chung, W.S.; Song, M.Y. Effects of Panax ginseng on obesity in animal models: A systematic review and meta-analysis. Evid.-Based. Complement. Altern. Med. 2018, 2018, 2719794. [Google Scholar] [CrossRef] [Green Version]
  37. Han, L.K.; Zheng, Y.N.; Yoshikawa, M.; Okuda, H.; Kimura, Y. Anti-obesity effects of chikusetsusaponins isolated from Panax japonicus rhizomes. BMC Complement Altern. Med. 2005, 5, 9. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Zhang, X.; Zhang, B.; Zhang, C.; Sun, G.; Sun, X. Effect of Panax notoginseng saponins and major anti obesity components on weight loss. Front. Pharm. 2021, 11, 601751. [Google Scholar] [CrossRef] [PubMed]
  39. Liu, R.; Zhang, J.; Liu, W.; Kimura, Y.; Zheng, Y. Anti-obesity effects of protopanaxdiol types of ginsenosides isolated from the leaves of American ginseng (Panax quinquefolius L.) in mice fed with a high-fat diet. Fitoterapia 2010, 81, 1079–1087. [Google Scholar] [CrossRef]
  40. Qiu, Y.; Yu, H.; Hu, Y.; Guo, S.; Lei, X.; Qin, Y.; Jian, Y.; Li, B.; Liu, L.; Peng, C.; et al. Transcriptomic and metabonomic profiling reveal the anti-obesity effects of Chikusetsusaponin V, a compound extracted from Panax japonicus. J. Pharm. Pharm. 2021, 73, 60–69. [Google Scholar] [CrossRef]
  41. Samani, N.B.; Jokar, A.; Soveid, M.; Heydari, M.; Mosavat, S.H. Efficacy of the hydroalcoholic extract of Tribulus terrestris on the serum glucose and lipid profile of women with diabetes mellitus: A double-blind randomized placebo-controlled clinical trial. J. Evid. Based Complement. Altern. Med. 2016, 21, 91. [Google Scholar] [CrossRef]
  42. Nalbant, A.; Bilgili, A.; Hanedan, B.; Akdoğan, M. Effects of Tribulus terrestris, Avena sativa and white ginseng on adiponectin, leptin, resistin, fatty Acid binding protein 4, homocysteine and paraoxonase-1 levels in hypercholesterolemic rats. Curr. Persp. Med. Aromat. Plants 2020, 3, 135–142. [Google Scholar] [CrossRef]
  43. Abdel-Mottaleb, Y.; Ali, H.S.; El-Kherbetawy, M.K.; Elkazzaz, A.Y.; ElSayed, M.H.; Elshormilisy, A.; Eltrawy, A.H.; Abed, S.Y.; Alshahrani, A.M.; Hashish, A.A.; et al. Saponin-rich extract of Tribulus terrestris alleviates systemic inflammation and insulin resistance in dietary obese female rats: Impact on adipokine/hormonal disturbances. Biomed. Pharm. 2022, 147, 112639. [Google Scholar] [CrossRef]
  44. El-Shaibany, A.; AL-Habori, M.; Al-Tahami, B.; Al-Massarani, S. Anti-hyperglycaemic Activity of Tribulus terrestris L. aerial Part extract in glucose-loaded normal rabbits. Trop. J. Pharm. Res. 2016, 14, 2263. [Google Scholar] [CrossRef]
  45. Obidiegwu, J.E.; Lyons, J.B.; Chilaka, C.A. The Dioscorea genus (yam)—An appraisal of nutritional and herapeutic potentials. Foods 2020, 9, 1304. [Google Scholar] [CrossRef]
  46. Dzomba, P. Anti-obesity and antioxidant activity of dietary flavonoids from Dioscorea steriscus tubers. J. Coast. Life Med. 2014, 2, 465–470. [Google Scholar]
  47. Kwon, C.S.; Sohn, H.Y.; Kim, S.H.; Kim, J.H.; Son, K.H.; Lee, J.S.; Lim, J.K.; Kim, J.S. Anti-obesity effect of Dioscorea nipponica Makino with lipase-inhibitory activity in rodents. Biosci. Biotechnol. Biochem. 2003, 67, 1451–1456. [Google Scholar] [CrossRef] [Green Version]
  48. Oyama, M.; Tokiwano, T.; Kawaii, S.; Yoshida, Y.; Mizuno, K.; Oh, K.; Yoshizawa, Y. Protodioscin, isolated from the rhizome of Dioscorea tokoro collected in Northern Japan is the major antiproliferative compound to HL-60 leukemic cells. Curr. Bioact. Comp. 2017, 13, 170–174. [Google Scholar] [CrossRef] [Green Version]
  49. Titova, M.V.; Popova, E.V.; Konstantinova, S.V.; Kochkin, D.V.; Ivanov, I.M.; Klyushin, A.G.; Titova, E.G.; Nebera, E.A.; Vasilevskaya, E.R.; Tolmacheva, G.S.; et al. Suspension cell culture of Dioscorea deltoidea—A renewable source of biomass and furostanol glycosides for food and pharmaceutical industry. Agronomy 2021, 11, 394. [Google Scholar] [CrossRef]
  50. Povydysh, M.N.; Titova, M.V.; Ivanov, I.M.; Klushin, A.G.; Kochkin, D.V.; Galishev, B.A.; Popova, E.V.; Ivkin, D.Y.; Luzhanin, V.G.; Krasnova, M.V.; et al. Effect of phytopreparations based on bioreactor-grown cell biomass of Dioscorea deltoidea, Tribulus terrestris and Panax japonicus on carbohydrate and lipid vetabolism in type 2 diabetes mellitus. Nutrients 2021, 13, 3811. [Google Scholar] [CrossRef]
  51. Titova, M.V.; Shumilo, N.A.; Reshetnyak, O.V.; Glagoleva, E.S.; Nosov, A.M. Physiological characteristics of Panax japonicus suspension cell culture during growth scaling-up. Biotekhnologiya 2015, 3, 71–80. (In Russian) [Google Scholar] [CrossRef]
  52. Eibl, R.; Meier, P.; Stutz, I.; Schildberger, D.; Hühn, T.; Eibl, D. Plant cell culture technology in the cosmetics and food industries: Current state and future trends. Appl. Microbiol. Biotechnol. 2018, 102, 8661–8675. [Google Scholar] [CrossRef] [Green Version]
  53. Murthy, H.K.; Georgiev, M.I.; Park, S.-Y.; Dandin, V.S.; Paek, K.-Y. The safety assessment of food ingredients derived from plant cell, tissue and organ cultures: A review. Food Chem. 2015, 176, 426–432. [Google Scholar] [CrossRef]
  54. Khandy, M.T.; Kochkin, D.V.; Tomilova, S.V.; Galishev, B.A.; Sukhanova, E.S.; Klyushin, A.G.; Ivanov, I.M.; Nosov, A.M. Obtaining and study of callus and suspension plant cell cultures of Tribulus terrestris L., a producer of steroidal glycosides. Appl. Biochem. Microbiol. 2017, 53, 800–806. [Google Scholar] [CrossRef]
  55. Demidova, E.V.; Reshetnyak, O.V.; Oreshnikov, A.V.; Nosov, A.M. Growth and biosynthetic characteristics of ginseng (Panax japonicus var. repens) deep-tank cell culture in bioreactors. Russ. J. Plant Physiol. 2006, 53, 134–140. [Google Scholar] [CrossRef]
  56. Kudo, C.; Kessoku, T.; Kamata, Y.; Hidaka, K.; Kurihashi, T.; Iwasaki, T.; Takashiba, S.; Kodama, T.; Tamura, T.; Nakajima, A.; et al. Relationship between non-alcoholic fatty liver disease and periodontal disease: A review and study protocol on the effect of periodontal treatment on non-alcoholic fatty liver disease. J. Transl. Sci. 2016, 2, 340. [Google Scholar] [CrossRef]
  57. Chapman, M.E.; Hu, L.; Plato, C.F.; Kohan, D.E. Bioimpedance spectroscopy for the estimation of body fluid volumes in mice. Amer. J. Physiol.-Ren. Physiol. 2010, 299, 280–283. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  58. Bera, T.K. Bioelectrical impedance methods for noninvasive health monitoring: A review. J. Med. Eng. 2014, 2014, 381251. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  59. Zhang, Q.; Xiao, X.; Zheng, J.; Li, M.; Yu, M.; Ping, F.; Wang, T.; Wang, X. Featured article: Structure moderation of gut microbiota in liraglutide-treated diabetic male rats. Exper. Biol. Med. 2017, 243, 34–44. [Google Scholar] [CrossRef] [PubMed]
  60. Lagunin, A.; Povydysh, M.; Ivkin, D.; Luzhanin, V.; Krasnova, M.; Okovityi, S.; Nosov, A.; Titova, M.; Tomilova, S.; Filimonov, D.; et al. Antihypoxic action of Panax japonicus, Tribulus terrestris and Dioscorea deltoidea cell cultures: In silico and animal studies. Mol. Inf. 2020, 39, 2000093. [Google Scholar] [CrossRef] [PubMed]
  61. Mironov, A.N. Guidelines to the Pre-Clinical Test of Medicications. Part 1; Grif and Co: Moscow, Russia, 2012; 944p. (In Russian) [Google Scholar]
  62. Chernukha, I.M.; Fedulova, L.V.; Kotenkova, E.A.; Vasilevskaya, E.R.; Lisitsyn, A.B. The effect of water with modified isotope (D/H) composition on the reproductive function and postnatal development in rats. Probl. Nutr. 2016, 5, 36–43. [Google Scholar]
  63. Nguyen, A.T.; Armstrong, E.A.; Yager, J.Y. Neurodevelopmental reflex testing in neonatal rat pups. J. Vis. Exp. 2017, 24, 55261. [Google Scholar] [CrossRef]
  64. Chernukha, I.; Fedulova, L.; Vasilevskaya, E.; Kulikovskii, A.; Kupaeva, N.; Kotenkova, E. Antioxidant effect of ethanolic onion (Allium cepa) Husk extract in ageing rats. Saudi J. Biol. Sci. 2021, 28, 2877–2885. [Google Scholar] [CrossRef]
  65. Chernukha, I.M.; Kotenkova, E.A.; Vasilevskaya, E.R.; Ivankin, A.N.; Lisitsyn, A.B.; Fedulova, L.V. The study of biological effects of different geographical origin goji berries in rats with alimentary hypercholesterolemia. Probl. Nutr. 2020, 89, 37–45. [Google Scholar] [CrossRef]
  66. Chernukha, I.; Kotenkova, E.; Derbeneva, S.; Khvostov, D. Bioactive compounds of porcine hearts and aortas may improve cardiovascular disorders in humans. Int. J. Env. Res. Public Health 2021, 18, 7330. [Google Scholar] [CrossRef]
  67. Mann, H.B.; Whitney, D.R. On a test of whether one of two random variables is stochastically larger than the other. Ann. Math. Stat. 1947, 18, 50–60. [Google Scholar] [CrossRef]
  68. Tomilova, S.V.; Kochkin, D.V.; Tyurina, T.M.; Glagoleva, E.S.; Labunskaya, E.A.; Galishev, B.A.; Nosov, A.M. Specificity of growth and synthesis of secondary metabolites in cultures in vitro Digitalis lanata Ehrh. Russ. J. Plant Physiol. 2022, 69, 149–160. [Google Scholar] [CrossRef]
  69. Eshbakova, K.A.; Zakirova, R.P.; Khasanova, K.I.; Bobakulov, K.M.; Aisa, H.A.; Sagdullaev, S.S.; Nosov, A.M. Phenylpropanoids from Callus Tissue of Ajuga turkestanica. Chem. Nat. Comp. 2019, 55, 28–31. [Google Scholar] [CrossRef]
  70. Cheng, D.M.; Yousef, G.G.; Grace, M.H.; Rogers, R.B.; Lila, M.A. In vitro production of metabolism-enhancing phytoecdysteroids from Ajuga turkestanica. Plant Cell Tiss. Organ Cult. 2008, 93, 73–83. [Google Scholar] [CrossRef]
  71. Khandy, M.T.; Kochkin, D.V.; Tomilova, S.V.; Klyushin, A.G.; Galishev, B.A.; Nosov, A.M. Growth and biosynthetic characteristics of Phlojodicarpus sibiricus cell suspension cultures. Russ. J. Plant Physiol. 2021, 68, 569–578. [Google Scholar] [CrossRef]
  72. Nosov, A.M.; Popova, E.V.; Kochkin, D.V. Isoprenoid production via plant cell cultures: Biosynthesis, accumulation and scaling-up to bioreactors. In Production of Biomass and Bioactive Compounds Using Bioreactor Technology; Paek, K.Y., Murthy, H.N., Zhong, J.J., Eds.; Springer: Dordrecht, The Netherlands, 2014; pp. 563–623. [Google Scholar] [CrossRef]
  73. Glagoleva, E.S.; Konstantinova, S.V.; Kochkin, D.V.; Ossipov, V.; Titova, M.V.; Popova, E.V.; Nosov, A.M.; Paek, K.Y. Predominance of oleanane-type ginsenoside R0 and malonyl esters of protopanaxadiol-type ginsenosides in the 20-year-old suspension cell culture of Panax japonicus C.A. Meyer. Ind. Crops Prod. 2022, 177, 114417. [Google Scholar] [CrossRef]
  74. Tomilova, S.V.; Khandy, M.T.; Kochkin, D.V.; Galishev, B.A.; Klyushin, A.G.; Nosov, A.M. Effect of synthetic auxin analogs (2.4-D and α-NAA) on growth and biosynthetic characteristics of suspension cell culture of Tribulus terrestris L. Russ. J. Plant. Physiol. 2020, 67, 636–645. [Google Scholar] [CrossRef]
  75. Lutz, T.A.; Woods, S.C. Overview of animal models of obesity. Curr. Prot. Pharm. 2012, 58, 5.61.1–5.61.18. [Google Scholar] [CrossRef] [Green Version]
  76. York, D.A. Lessons from animal models of obesity. Endocrinol. Metab. Clin. N. Am. 1996, 25, 781–800. [Google Scholar] [CrossRef]
  77. Thibault, L. Chapter 13—Animal models of dietary-induced obesity. In Animal Models for the Study of Human Disease; Conn, P.M., Ed.; Academic Press: Cambridge, MA, USA, 2013; pp. 277–303. [Google Scholar] [CrossRef]
  78. Stranahan, A.M. Models and mechanisms for hippocampal dysfunction in obesity and diabetes. Neuroscience 2015, 309, 125–139. [Google Scholar] [CrossRef] [Green Version]
  79. Woodie, L.N.; Luo, Y.; Wayne, M.J.; Graff, E.C.; Ahmed, B.; O’Neill, A.M.; Greene, M.W. Restricted feeding for 9h in the active period partially abrogates the detrimental metabolic effects of a Western diet with liquid sugar consumption in mice. Metab. Clin. Exp. 2018, 82, 1–13. [Google Scholar] [CrossRef] [PubMed]
  80. Kim, H.J.; Kim, S.; Lee, A.Y.; Jang, Y.; Davaadamdin, O.; Hong, S.-H.; Kim, J.S.; Cho, M.-H. The effects of Gymnema sylvestre in high-fat diet-induced metabolic disorders. Amer. J. Chin. Med. 2017, 45, 813–832. [Google Scholar] [CrossRef] [PubMed]
  81. Kleinert, M.; Clemmensen, C.; Hofmann, S.M.; Moore, M.C.; Renner, S.; Woods, S.C.; Huypens, P.; Beckers, J.; de Angelis, M.H.; Schürmann, A.; et al. Animal models of obesity and diabetes mellitus. Nat. Rev. Endocrinol. 2018, 14, 140–162. [Google Scholar] [CrossRef] [PubMed]
  82. Karimi, G.; Jamaluddin, R.; Mohtarrudin, N.; Ahmad, Z.; Khazaai, H.; Parvaneh, M. Single-species versus dual-species probiotic supplementation as an emerging therapeutic strategy for obesity. Nutr. Metab. Cardiovasc. Dis. 2017, 27, 910–918. [Google Scholar] [CrossRef] [Green Version]
  83. Rosini, T.C.; Silva, A.S.; Moraes, C. D Diet-induced obesity: Rodent model for the study of obesity-related disorders. Rev. Assoc. Med. Bras. 2012, 58, 383–387. [Google Scholar]
  84. Vickers, S.P.; Jackson, H.C.; Cheetham, S.C. The utility of animal models to evaluate novel anti-obesity agents. British J. Pharmacol. 2011, 164, 1248–1262. [Google Scholar] [CrossRef] [Green Version]
  85. Osto, M.; Lutz, T.A. Translational value of animal models of obesity-focus on dogs and cats. Eur. J. Pharm. 2015, 759, 240–252. [Google Scholar] [CrossRef] [Green Version]
  86. Angéloco, L.R.N.; Deminice, R.; Leme, I.A.; Lataro, R.C.; Jordão, A.A. Bioelectrical impedance analysis and anthropometry for the determination of body composition in rats: Effects of high-fat and high-sucrose diets. Rev. De Nutr. 2012, 25, 331–339. [Google Scholar] [CrossRef] [Green Version]
  87. Wu, Y.R.; Shi, X.Y.; Ma, C.Y.; Zhang, Y.; Xu, R.X.; Li, J.J. Liraglutide im-proves lipid metabolism by enhancing cholesterol efflux associated with ABCA1 and ERK1/2 pathway. Cardiovasc. Diabetol. 2019, 18, 146. [Google Scholar] [CrossRef]
  88. Bugáňová, M.; Pelantová, H.; Holubová, M.; Šedivá, B.; Maletínská, L.; Železná, B.; Kuneš, J.; Kačer, P.; Kuzma, M.; Haluzík, M. The effects of liraglutide in mice with diet-induced obesity studied by metabolomics. J. Endocrinol. 2017, 233, 93–104. [Google Scholar] [CrossRef] [Green Version]
  89. Hansen, G.; Jelsing, J.; Vrang, N. Effects of liraglutide and sibutramine on food intake, palatability, body weight and glucose tolerance in the gubra DIO-rats. Acta. Pharm. Sin. 2012, 33, 194–200. [Google Scholar] [CrossRef] [Green Version]
  90. Jeong, E.J.; Jegal, J.; Ahn, J.; Kim, J.; Yang, M.H. Anti-obesity effect of Dioscorea oppositifolia extract in high-fat diet- induced obese mice and its chemical characterization. Biol. Pharm. Bull. 2016, 39, 409–414. [Google Scholar] [CrossRef] [Green Version]
  91. Lee, S.G.; Lee, Y.J.; Jang, M.H.; Kwon, T.R.; Nam, J.O. Panax ginseng leaf extracts exert anti-obesity effects in high-fat diet-induced obese rats. Nutrients 2017, 9, 999. [Google Scholar] [CrossRef] [PubMed]
  92. McKoy, M.-L.; Thomas, P.-G.; Asemota, H.; Omoruyi, F.; Simon, O. Effects of Jamaican bitter yam (Dioscorea polygonoides) and diosgenin on blood and fecal cholesterol in rats. J. Med. Food 2014, 17, 1183–1188. [Google Scholar] [CrossRef] [PubMed]
  93. Chen, H.-L.; Wang, C.-H.; Chang, C.-T.; Wang, T.-C. Effects of Taiwanese yam (Dioscorea alata L. cv. Tainung No. 2) on the mucosal hydrolase activities and lipid metabolism in Balb/c mice. Nutr. Res. 2003, 23, 791–801. [Google Scholar] [CrossRef]
  94. Wang, X.J.; Xie, Q.; Liu, Y.; Jiang, S.; Li, W.; Li, B.; Wang, W.; Liu, C.X. Panax japonicus and chikusetsusaponins: A review of diverse biological activities and pharmacology mechanism. Chin. Herb. Med. 2020, 13, 64–77. [Google Scholar] [CrossRef]
  95. Botros, M.; Sikaris, K.A. The de Ritis ratio: The test of time. Clin. Biochem. Rev. 2013, 34, 117–130. Available online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3866949/ (accessed on 20 September 2022).
  96. Rahal, A.; Kumar, A.; Singh, V.; Yadav, B.; Tiwari, R.; Chakraborty, S.; Dhama, K. Oxidative stress, prooxidants, and antioxidants: The interplay. Biomed. Res. Int. 2014, 2014, 761264. [Google Scholar] [CrossRef]
  97. Sarikaya, E.; Doğan, S. Glutathione peroxidase in health and diseases. In Glutathione System and Oxidative Stress in Health and Disease; Bagatini, M., Ed.; IntechOpen: London, UK, 2020; Available online: https://www.intechopen.com/chapters/70955 (accessed on 20 September 2022).
  98. Giknis, M.L.A.; Clifford, C.B. Clinical Laboratory Parameteres for Crl:CD(SD) Rats; Charles River Laboratories: Wilmington, MA, USA, 2006; 18p. [Google Scholar]
  99. Evans, G.O. Animal Clinical Chemistry: A Practical Handbook for Toxicologists and Biomedical Researchers, 2nd ed.; CRC Press: Boca Raton, FL, USA, 2009; 368p. [Google Scholar]
Figure 1. Body weight of the animals of intact (SF), control (HF), and experimental groups measured at the end of the experiment (3 months of obesity formation followed by 3 months of treatments). SF—standard feed, intact group; HF—hypercaloric feed. *—significantly different from the control (HF) group; #—significantly different from the intact (SF) group (*, #–0.01 < p < 0.05).
Figure 1. Body weight of the animals of intact (SF), control (HF), and experimental groups measured at the end of the experiment (3 months of obesity formation followed by 3 months of treatments). SF—standard feed, intact group; HF—hypercaloric feed. *—significantly different from the control (HF) group; #—significantly different from the intact (SF) group (*, #–0.01 < p < 0.05).
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Figure 2. Fat mass (FM, (a)) and fat-free mass (FFM, (b)) values of the animals of intact, control, and experimental groups measured at the end of the experiment (3 months of obesity formation followed by 3 months of treatments). SF—standard feed, intact group; HF—hypercaloric feed. *—significantly different from the control (HF) group; #—significantly different from the intact (SF) group (*—0.01 < p < 0.05; ##—0.001 < p < 0.01; ***—p < 0.001).
Figure 2. Fat mass (FM, (a)) and fat-free mass (FFM, (b)) values of the animals of intact, control, and experimental groups measured at the end of the experiment (3 months of obesity formation followed by 3 months of treatments). SF—standard feed, intact group; HF—hypercaloric feed. *—significantly different from the control (HF) group; #—significantly different from the intact (SF) group (*—0.01 < p < 0.05; ##—0.001 < p < 0.01; ***—p < 0.001).
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Figure 3. Total body water (TBW, (a)), intracellular fluid (ICF, (b)), and extracellular fluid (ECF, (c)) values in animals of intact, control, and experimental groups measured at the end of the experiment (3 months of obesity formation followed by 3 months of treatments). SF—standard feed, intact group; HF—hypercaloric feed. *—significantly different from the control (HF) group; #—significantly different from the intact (SF) group (*, #—0.01 < p < 0.05; ##—0.001 < p < 0.01).
Figure 3. Total body water (TBW, (a)), intracellular fluid (ICF, (b)), and extracellular fluid (ECF, (c)) values in animals of intact, control, and experimental groups measured at the end of the experiment (3 months of obesity formation followed by 3 months of treatments). SF—standard feed, intact group; HF—hypercaloric feed. *—significantly different from the control (HF) group; #—significantly different from the intact (SF) group (*, #—0.01 < p < 0.05; ##—0.001 < p < 0.01).
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Figure 4. Blood glucose level (a) and total cholesterol in blood serum (b) in animals of intact, control, and experimental groups measured at the end of the experiment (3 months of obesity formation followed by 3 months of treatments). SF—standard feed, intact group; HF—hypercaloric feed. *—significantly different from the control (HF) group; #—significantly different from the intact (SF) group (#—0.01 < p < 0.05; **, ##—0.001 < p < 0.01; ***—p < 0.001).
Figure 4. Blood glucose level (a) and total cholesterol in blood serum (b) in animals of intact, control, and experimental groups measured at the end of the experiment (3 months of obesity formation followed by 3 months of treatments). SF—standard feed, intact group; HF—hypercaloric feed. *—significantly different from the control (HF) group; #—significantly different from the intact (SF) group (#—0.01 < p < 0.05; **, ##—0.001 < p < 0.01; ***—p < 0.001).
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Figure 5. Daily urine output in animals of intact, control, and experimental groups. SF—standard feed, intact group; HF—hypercaloric feed. *—significantly different from the control (HF) group; #—significantly different from the intact (SF) group (*, #—0.01< p < 0.05; ****, ####—p < 0.001).
Figure 5. Daily urine output in animals of intact, control, and experimental groups. SF—standard feed, intact group; HF—hypercaloric feed. *—significantly different from the control (HF) group; #—significantly different from the intact (SF) group (*, #—0.01< p < 0.05; ****, ####—p < 0.001).
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Figure 6. The dynamics of the rat pups’ body weight accumulation. Control—intact parents; Experimental—parents received the phytopreparation of Dioscorea deltoidea cells. Data are presented as box plots where the box illustrates the value range from the 25th to 75th percentiles with the median line in the middle, and the bars extend to the minimum and maximum values of the dataset.
Figure 6. The dynamics of the rat pups’ body weight accumulation. Control—intact parents; Experimental—parents received the phytopreparation of Dioscorea deltoidea cells. Data are presented as box plots where the box illustrates the value range from the 25th to 75th percentiles with the median line in the middle, and the bars extend to the minimum and maximum values of the dataset.
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Table 1. Animal groups and treatments used in the study.
Table 1. Animal groups and treatments used in the study.
GroupSubgroupFeed + Treatment
Months 1–3Months 4–6
Group №1
(intact)
Subgroup №1 (n = 10)
(intact)
SFSF
Group №2
(obese)
Subgroup №2 (n = 10)
(control)
HFHF, no treatment
Subgroup №3 (n = 10)
(reference drug)
HFHF + liraglutide (0.3 mg/kg)
Subgroup №4 (n = 10)HFHF + phytopreparation of D. deltoidea (100 mg/kg)
Subgroup №5 (n = 10)HFHF + phytopreparation of T. terrestris (100 mg/kg)
Subgroup №6 (n = 10)HFHF + phytopreparation of P. japonicus (100 mg/kg)
SF—standard feed; HF—hypercaloric feed.
Table 2. Body measurements of the animals receiving standard or hypercaloric feed for 3 months.
Table 2. Body measurements of the animals receiving standard or hypercaloric feed for 3 months.
GroupBody Weight (g)Total Body Water (TBW), %Extracellular Fluid (ECF), %Intracellular Fluid (ICF), %Fat-Free mass (FFM), %Fat Mass (FM), %Body Mass Index (BMI)
Standard feed (SF)275.9 ± 15.1361.32 ± 2.4546.10 ± 0.8353.90 ± 0.8184.02 ± 3.2515.98 ± 3.238.63 ± 0.34
Hypercaloric feed (HF)330.9 ± 50.9449.58 ± 1.2849.04 ± 0.6350.96 ± 0.7164.68 ± 4.02 *35.32 ± 1.75 *10.08 ± 0.27 *
p Valuep = 0.0159p = 0.0004 *p = 0.0283p = 0.0283p = 0.0003p = 0.0003p = 0.0039
*—significantly different at p < 0.01.
Table 3. Changes in body weight in animals after 6 months of receiving hypercaloric feed with or without liraglutide treatment.
Table 3. Changes in body weight in animals after 6 months of receiving hypercaloric feed with or without liraglutide treatment.
Group1Body Weight (g)Parameter Change
InitialAfter 6 Months
Subgroup №1
(intact, SF)
193.11 ± 15.06373.00 ± 11.24
* p = 0.000010
+180.11
Subgroup№2
(obese, HF)
178.67 ± 10.05419.89 ± 8.86
* p = 0.000000
# p < 0.05
+241.22
Subgroup №3
(obese, HF + 3 months of liraglutide treatment)
174.30 ± 14.53289.40 ± 9.96
* p = 0.000079
# p < 0.05
& p < 0.05
+115.10
* Dependent samples t-test # Mann–Whitney U test (against Subgroup №1) & Mann–Whitney U test (against Subgroup №2). 1 Group description according to Table 1 SF—standard feed; HF—hypercaloric feed.
Table 4. Changes in plasma glucose level in animals after 6 months of receiving hypercaloric feed with or without liraglutide treatment.
Table 4. Changes in plasma glucose level in animals after 6 months of receiving hypercaloric feed with or without liraglutide treatment.
Group1Glucose Level in Blood Plasma, mmol/LParameter Change (Compared to Initial Level)
Initialafter 6 Months
Subgroup №1
(intact, SF)
5.62 ± 0.166.13 ± 0.24+0.51
Subgroup№2
(obese, HF)
5.57 ± 0.256.88 ± 0.41
* p = 0.036559
+1.31
Subgroup №3
(obese, HF + 3 months of liraglutide treatment)
5.27 ± 0.413.97 ± 0.12
# p < 0.05
& p < 0.05
−1.30
* Dependent samples t-test # Mann–Whitney U test (against Subgroup №1) & Mann–Whitney U test (against Subgroup №2). 1 Group description according to Table 1 SF—standard feed; HF—hypercaloric feed.
Table 5. Rat fertility (F0) and offspring development assessment (F1) in control group and experimental group receiving Dioscorea deltoidea cell biomass for 80 days.
Table 5. Rat fertility (F0) and offspring development assessment (F1) in control group and experimental group receiving Dioscorea deltoidea cell biomass for 80 days.
ParametersGroup
Experimental
(+ D. deltoidea)
Control
Reproduction
Total number of newborn pups5866
Litter size at birth, P25–75
min–max
8–9
7–9
7–9
4–11
Males/females ratio in the litter, %53/4737/63
Pup survival, 1–5 days after birth, %10095
Pup survival, 6–25 days after birth, %100100
Postnatal development of reflexes, days *
Surface righting2–6; 2–42–5; 2–3
Negative geotaxis5–6; 5–55–7; 5–5
Auditory startle8–12; 8–98–12; 9–10
Olfactory response10–12; 10–1110–12; 10–11
Pupillary function14–18; 14–1514–18; 15–16
Visual placing (cliff avoidance)15–18; 17–1815–18; 18–18
Bar holding15–20; 15–1715–22; 16–18
Accelerated righting17–22; 17–1817–22; 17–20
* Data presented as “minimum–maximum; P25–75”, where P25–75 is the value range from the 25th to 75th percentiles.
Table 6. Antioxidant parameters of the blood in the rats of the control and experimental F0 and F1 groups. Parent rats (F0) of the experimental group received the phytopreparation of Dioscorea deltoidea cell biomass.
Table 6. Antioxidant parameters of the blood in the rats of the control and experimental F0 and F1 groups. Parent rats (F0) of the experimental group received the phytopreparation of Dioscorea deltoidea cell biomass.
ParametersGroup
Experimental F0Control F0Experimental F1Control F1
Total antioxidant activity, Ki 1/(1000 min mL)1.175 ± 0.012 *1.261 ± 0.0241.199 ± 0.201 *1.022 ± 0.226
MDA, µmol/g of protein0.832 ± 0.760.707 ± 0.0650.673 ± 0.3900.692 ± 0.065
Reduced glutathione, mmol/g of protein0.216 ±0.019 *0.151 ± 0.0110.114 ± 0.046 *0.067 ± 0.038
Catalase activity, U/g of protein1.754 ± 0.186 *1.072 ± 0.2583.247 ± 0.0643.115 ± 0.058
Glutathione reductase activity, U/L1410.7 ± 5.51389.6 ± 8.61097.1 ± 29.41140.4 ± 27.2
* significantly different from the control animals at p < 0.05. MDA—malondialdehyde content.
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MDPI and ACS Style

Povydysh, M.N.; Titova, M.V.; Ivkin, D.Y.; Krasnova, M.V.; Vasilevskaya, E.R.; Fedulova, L.V.; Ivanov, I.M.; Klushin, A.G.; Popova, E.V.; Nosov, A.M. The Hypoglycemic and Hypocholesterolemic Activity of Dioscorea deltoidea, Tribulus terrestris and Panax japonicus Cell Culture Biomass in Rats with High-Fat Diet-Induced Obesity. Nutrients 2023, 15, 656. https://doi.org/10.3390/nu15030656

AMA Style

Povydysh MN, Titova MV, Ivkin DY, Krasnova MV, Vasilevskaya ER, Fedulova LV, Ivanov IM, Klushin AG, Popova EV, Nosov AM. The Hypoglycemic and Hypocholesterolemic Activity of Dioscorea deltoidea, Tribulus terrestris and Panax japonicus Cell Culture Biomass in Rats with High-Fat Diet-Induced Obesity. Nutrients. 2023; 15(3):656. https://doi.org/10.3390/nu15030656

Chicago/Turabian Style

Povydysh, Maria N., Maria V. Titova, Dmitry Yu. Ivkin, Marina V. Krasnova, Ekaterina R. Vasilevskaya, Liliya V. Fedulova, Igor M. Ivanov, Andrey G. Klushin, Elena V. Popova, and Alexander M. Nosov. 2023. "The Hypoglycemic and Hypocholesterolemic Activity of Dioscorea deltoidea, Tribulus terrestris and Panax japonicus Cell Culture Biomass in Rats with High-Fat Diet-Induced Obesity" Nutrients 15, no. 3: 656. https://doi.org/10.3390/nu15030656

APA Style

Povydysh, M. N., Titova, M. V., Ivkin, D. Y., Krasnova, M. V., Vasilevskaya, E. R., Fedulova, L. V., Ivanov, I. M., Klushin, A. G., Popova, E. V., & Nosov, A. M. (2023). The Hypoglycemic and Hypocholesterolemic Activity of Dioscorea deltoidea, Tribulus terrestris and Panax japonicus Cell Culture Biomass in Rats with High-Fat Diet-Induced Obesity. Nutrients, 15(3), 656. https://doi.org/10.3390/nu15030656

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