Skip to main content

ORIGINAL RESEARCH article

Front. Cell Dev. Biol., 18 February 2021
Sec. Molecular and Cellular Pathology

Hypoglycemic Efficacy of Rh-aFGF Variants in Treatment of Diabetes in ZDF Rats

\r\nLi Zhang,&#x;Li Zhang1,2†Qingde Zhou,&#x;Qingde Zhou1,2†Min Chen,&#x;Min Chen1,2†Xuanxin Yang,Xuanxin Yang1,2Chao Lu,Chao Lu1,2Wenzhe Sun,Wenzhe Sun1,2Qi Hui,Qi Hui1,2Xiaojie Wang,*Xiaojie Wang1,2*
  • 1The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
  • 2School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China

Acidic fibroblast growth factor (aFGF) is a promising regulator of glucose with no adverse effects of hypoglycemia. Previous researches revealed that aFGF mediated adipose tissue remodeling and insulin sensitivity. These findings supported rh-aFGF135 would be used as a new candidate for the treatment of insulin resistance and type 2 diabetes. In this study, we aimed to investigate the hypoglycemic efficacy of recombinant human acidic fibroblast growth factor 135 (rh-aFGF135) with low mitogenic in type 2 diabetic ZDF rats. ZDF rats were treated with rh-aFGF135 at a daily dosage of 0.25 and 0.50 mg/kg by tail intravenous injection for 5 weeks. The blood glucose levels, oral glucose tolerance test, insulin tolerance test, HOMA-IR for insulin resistance, serum biochemical parameters, and the histopathological changes of adipose tissue, liver and other organs were detected at designed time point. The glucose uptake activity and anti-insulin resistance effect of rh-aFGF135 were also detected in HepG2 cells. Results revealed that rh-aFGF135 exhibited a better hypoglycemic effect compared with vehicle group and without the adverse effect of hypoglycemia in ZDF rats. Compared with vehicle group, rh-aFGF135 significantly improved the situation of hyperglycemia and insulin resistance. Rh-aFGF135 decreased ALT, AST, GSP, and FFA levels noticeably compared with vehicle control group (P < 0.01 or P < 0.001). After 5 weeks of treatment, high-dosage rh-aFGF135 could remodel adipose tissue, and has no influence on other organs. H&E staining showed that rh-aFGF135 reduced the size of adipocytes. In addition, rh-aFGF135 may improve insulin resistance partly by increasing the protein expression of p-IRS-1 (human Ser 307). As a hypoglycemic drug for long-term treatment, rh-aFGF135 would be a potentially safe candidate for the therapy of type 2 diabetes.

Introduction

In modern society, type 2 diabetes mellitus (T2DM) has turned into a major health problem worldwide as a common metabolic disorder characterized by insulin resistance (Roden, 2012; Canivell and Gomis, 2014; Guariguata et al., 2014). Traditional hypoglycemic agents include biguanides and thiazolidinediones, the former work by reducing glycogen output (directly acting on the liver), and the latter rely on the nuclear receptor peroxisome proliferator-activated receptor γ (PPARγ) to exert the hypoglycemic’s activity (Chang et al., 2013). However, previous studies have revealed that metformin can cause side effects such as liver damage and gastrointestinal discomfort, while thiazolidinediones also lead to weight gain and hypoglycemia (Lehrke and Lazar, 2005). Therefore, development of new anti-diabetic drugs is still a hotspot (Li, 2019).

Acidic fibroblast growth factor (aFGF, also called FGF1), an important member of the fibroblast growth factor family, mainly exists in the kidney and brain tissue and consists of 154 amino acids (Gimenez-Gallego et al., 1985). The role of aFGF is obvious in promoting embryonic development, organogenesis, angiogenesis, and wound healing (Beenken and Mohammadi, 2009; Mohan et al., 2010). Recently, the research published in Nature reported that aFGF would emerge as a new type of insulin sensitizer (Suh et al., 2014). In an earlier study, aFGF was also found to mediate adipose tissue remodeling and insulin sensitivity through PPARγ in aFGF knock-out mice (Jonker et al., 2012). Remarkably, compared with thiazolidinediones traditional sensitizers, rats treated with aFGF by subcutaneous injection have not yet been observed any side effects, such as weight gain or liver steatosis (Chang et al., 2013). In addition, our previous 28-day long-term rh-aFGF135 toxicity study on the New Zealand rabbits’ damaged skin using Carbomer 940 hydrogel demonstrated that the rh-aFGF135 long-term treatment had no obvious adverse effects (Zhang et al., 2020). All of these researches suggest that aFGF would become a potential therapeutic drug to treat type 2 diabetes.

In this study, we aimed to investigate the hypoglycemic efficacy of rh-aFGF variants (rh-aFGF135), which consists of 135 amino acids and has much lower mitogenic activity compared with full-length rh-aFGF, in type 2 diabetic ZDF rats. The hypoglycemic effect of rh-aFGF135, which had not been previously reported, were evaluated by monitoring the effects on serum glucose levels, oral glucose tolerance test (OGTT), insulin tolerance test (ITT), HOMA-IR for insulin resistance (IR), serum biochemical parameters, and the histopathological changes of organs. And in vitro, the hypoglycemic effect of rh-aFGF135 was analyzed by detecting the glucose uptake and insulin resistance in HepG2 cells.

Materials and Methods

Animals

The mice were housed in a pathogen-free facility at the Tianjin Institute of Pharmaceutical Research, with an ambient temperature of 23 ± 3°C, relative humidity of 55 ± 10%, and 12-h light/12-h dark cycle. All animal experiments were in compliance with the guidelines promulgated by the Tianjin Institute of Pharmaceutical Research (Tianjin, China) and permitted by the Animal Ethical Committee of Tianjin Institute of Pharmaceutical Research (Tianjin, China) to assure humane treatment of all animals used in experiment. Leptin receptor mutation ZDF (fa/fa) rats and ZDF (fa/+) rats were used in the experiments (Charles River Laboratories, Beijing, China). ZDF (fa/fa) rats which can be diet-induced as a type 2 diabetic rat model, were received rh-aFGF135 at the dosage of 0.25 or 0.50 mg/kg (Wenzhou Medical University, Zhejiang, China) or saline via tail vein injection daily for 5 weeks, namely low-dosage group (L), high-dosage group (H), or vehicle control group. And ZDF (fa/+) rats with normal blood glucose were injected with saline as normal control.

Oral Glucose Tolerance Test

To test the ability of rh-aFGF135 regulating the blood glucose level, OGTT was performed in the ZDF rats on 26th day. Two hours after intravenous administration, 20% of glucose solution (2.0 g/kg) was administered by intragastric administration to the ZDF rats fasted for 12 h. The concentration of blood glucose was measured by glucometer (Roche, Basel, Switzerland) at 0, 30, 60, 90, 120, 150, and 180 min after oral administration of glucose. A graph showing concentration-time was drawn and the value of area under curve (AUC) was calculated. If the AUC value is significantly lower than the vehicle control, it indicates that rh-aFGF135 has improved ZDF rats’ ability to regulate the blood glucose level.

Insulin Tolerance Test

In order to avoid the possible interferences between the experiments, ITT was performed in the ZDF rats on the 35th day, the day before the end of the experiment. Two hours after intravenous administration of rh-aFGF135, ZDF rats fasted for 10 h were intraperitoneally injected with 0.5 IU/kg insulin (Sigma-Aldrich). Subsequently, the levels of glucose were measured by glucometer at 0, 30, 60, 90, 120, 150, and 180 min after insulin injection. The AUC value was obtained in the same way as OGTT. For normal ZDF rats, the insulin administration would decrease the fasted rats’ blood glucose concentration by 50% roughly around 15∼30 min after injection. Around 60–90 min after injection, the fasting blood glucose level should be restored to the normal level. However, if the blood glucose level does not decrease or decreases very little after insulin injection, it indicates that there is insulin resistance in ZDF rats.

Serum Insulin Measured by ELISA Assay

The levels of fasting blood glucose (FBG) and fasting insulin levels (FINS) were measured with glucometer and commercial ELISA kit (Nanjing Jiancheng Bioengineering Institute, Nanjing, China), respectively. Insulin resistance index was calculated using the homeostasis model assessment-insulin resistance (HOMA-IR) method. HOMA-IR = FINS × FBG/22.5. If the HOMA-IR value is significantly greater than the control group, it indicates that there is insulin resistance.

Measurement of Serum Biochemical Parameters

At the end of the experiment, the ZDF rats were sacrificed after fasting 12 h. Blood samples were taken from each rat. And serum biochemical parameters were measured with commercial kits as follows: glycosylated serum protein (GSP), high-density lipoprotein (HDL), and low-density lipoprotein (LDL-c) assay kits were purchased from Nanjing Jiancheng Bioengineering Institute (Nanjing, China); aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), and free fatty acid (FFA) assay kits were from Solarbio (Beijing, China).

H&E Staining

At the end of the study, ZDF rats were fasted for 16 h and sacrificed after anesthesia. The rat liver, kidney, spleen, pancreas, and adipose tissue around the epididymis were removed and fixed in 4% paraformaldehyde solution and made into paraffin tissue blocks with 4 mm thickness. Tissue morphology and overall condition were observed by H&E staining under Nikon upright microscope (Nikon ECLIPSE NI).

Cell Culture

The human hepatocellular carcinoma cell line HepG2 (Shanghai BioLeaf Biotech Co., Ltd., Shanghai, China) were cultured in DMEM medium (5.5 mM glucose) with 10% FBS, 100 μ/mL penicillin, and 100 μg/mL streptomycin at 37°C in a 5% CO2 humidified incubator. The cells were seeded in 96-well or 6-well tissue culture plates cultured until 70 ∼ 80% confluency.

Cell Viability Assay

Cell viability was measured by MTT assay (Manaharan et al., 2013). HepG2 cells were seeded in 96-well plates at the density of 6 × 103 cells/well (100 μL of medium per well; 6 wells per treatment condition) and incubated overnight at 37°C in a 5% CO2 humidified incubator. The cells were then subjected to overnight starvation in serum-free DMEM, washed with PBS to remove non-attached cells and cell debris, and a high glucose-induced damage model was constructed according to the references (Nakagami et al., 2002; Ding et al., 2019). After selecting a glucose concentration of 50 mM to establish the high glucose-induced damage cell model, HepG2 cells were stimulated with or without 25, 100, and 400 ng/mL rh-aFGF135 for 24 h at 37°C in a 5% CO2 humidified incubator. After that, 20 μL of MTT solution (5.0 mg/mL) was added to each well and incubated for 4 h. Then, the supernatant was discarded, and 120 μL of DMSO was added to each well. After proper mixing, the absorbance at 490 nm was measured using a microplate reader (Molecular Devices, Shanghai, China).

Measurement of Glucose Uptake Activity on HepG2 Cells

Glucose uptake activity assay of rh-aFGF135 in vitro was performed essentially as described below. HepG2 cells were seeded in 96-well plates at a density of 6 × 103 cells per well (100 μL of medium per well; 6 wells per treatment condition) and incubated overnight at 37°C in a 5% CO2 humidified incubator. After overnight starvation, the cells were stimulated with 3.7, 11.1, 33.3, 100, 300, and 900 ng/mL rh-aFGF135 for 24 h. Glucose uptake was measured with a glucose assay kit (Nanjing Jiancheng Bioengineering Institute, Nanjing, China) according to the manufacturer’s protocol. The absorbance at 510 nm was recorded using a microplate reader (Molecular Devices, Shanghai, China), and the glucose consumption rate was calculated.

Insulin Resistance Model on Cells

Insulin-resistant HepG2 cells were induced with 7.8 nM insulin as described previously (Zhang et al., 2012; Hu et al., 2014; Jiang et al., 2017). The cells were stimulated with or without 25, 100, and 400 ng/mL of rh-aFGF135 for 24 h. Glucose uptake was measured with a glucose assay kit according to the manufacturer’s protocol. Absorbance at 510 nm was recorded, and the glucose consumption rate was calculated. If the glucose consumption rate is significantly lower than the control group, it indicates that the cells have developed insulin resistance.

Western Blotting Analysis

HepG2 cells were seeded in 6-well plates at the density of 3 × 105 cells per well (2 mL of medium per well) and incubated overnight at 37°C in a 5% CO2 humidified incubator. The cells were then subjected to overnight starvation in serum-free DMEM, washed with PBS to remove non-attached cells and cell debris. Then we used 7.8 nM insulin to induce insulin resistance model as described previously, and the cells were stimulated with 400 ng/mL rh-aFGF135 or 0.5 mM metformin (positive control) for 1 h. After that, HepG2 cells were lysed with the RIPA buffer with protease inhibitor, phosphatase inhibitor and PMSF. After centrifugation at 12,000 g and 4°C for 15 min, the supernatants were collected. The protein concentrations were quantified via BCA protein assay kit (Beyotime Institute of Biotechnology, Shanghai, China). Then, equal amount of protein was separated via 12% SDS-PAGE gel electrophoresis and transferred to a 0.22 μm polyvinylidene difluoride (PVDF) membrane. Subsequently, the PVDF membranes were blocked with 5% skimmed milk (BD/DicoTM, NJ, United States) in tris-buffered saline tween-20 (TBST) for 90 min at room temperature and incubated with the following antibodies overnight at 4°C. The source and dilution of each antibody are as follows: anti-pIRS-1 (human Ser 307) (1:300) was purchased from Santa Cruz Biotechnology; anti-IRS-1 (1:1000) was from SAB (MD, United States), and anti-GAPDH (1:5000) was from Proteintech (Wuhan, China). The membranes were washed four times and then incubated with horseradish peroxidase (HRP)-conjugated goat anti-rabbit or anti-mouse IgG (1:5000) at room temperature for 45 min. Subsequently, the PVDF membranes were washed three times with TBST, after which signals were detected by an electrochemiluminescence (ECL) chemiluminescent agent, and the results were captured via a ChemiDoc XRS + Imaging System (Bio-Rad, Munich, Germany). Finally, the gray values of the target bands were analyzed by the Image Lab software.

Statistical Analysis

Statistical analysis of quantifiable results was performed by GraphPad Prism 5 software using t-test and ANOVA analysis. All statistics are expressed as mean ± standard deviation (SD). A value of P < 0.05 indicates statistical significance.

Results

Rh-aFGF135 Improves Cell Viability and Glucose Uptake Activity of HepG2 Cells

In this study, we tested whether rh-aFGF135 could improve HepG2 cell viability in high glucose condition. Cell viability was evaluated by MTT assay. HepG2 cells viability was affected significantly by glucose concentration. As glucose concentration exceeded 21 mM, the cell viability decreased obviously (Figure 1A, P < 0.001). In the high glucose-induced damage model caused by 50 mM glucose, when HepG2 cells were stimulated with 25, 100, and 400 ng/mL rh-aFGF135 for 24 h, the cell viability improved significantly in a dose-dependent manner compared with high glucose-induced damage group (Figure 1B, P < 0.001). Subsequently, we used different concentrations of rh-aFGF135 to detect the glucose uptake activity in HepG2 cells. Results showed that rh-aFGF135 could significantly improve the glucose consumption rate on HepG2 cells in a dose-dependent manner compared with the control group from 11 to 300 ng/mL (Figure 1C).

FIGURE 1
www.frontiersin.org

Figure 1. Effects of rh-aFGF135 on cell viability and glucose uptake activity, and the anti-diabetic effect of rh-aFGF135 in diabetic ZDF rats. (A) HepG2 cell viability under different concentrations of glucose in glucose-induced damage model. (B) The effect of rh-aFGF135 on HepG2 cell viability in 50 mM glucose-induced damage model. (C) Glucose uptake rate of HepG2 cells after treatment with different concentrations of rh-aFGF135. (D–F) The blood glucose level of ZDF rats on the second day (D), and the third day (E) and within 5 weeks (F) after rh-aFGF135 administration. Compared to normal control, ###P < 0.001, ##P < 0.01, #P < 0.05; Compared to vehicle control, ***P < 0.001, **P < 0.01, *P < 0.05, n = 6.

Rh-aFGF135 Shows Hypoglycemic Effect in ZDF Rats

In the present study, we used ZDF rats to examine the hypoglycemic effect of rh-aFGF135 injection intravenously once a day for 5 weeks. We found that on the second day, 6 h after the administration, the blood glucose level dropped by 17.6% in the high-dosage rh-aFGF135 group (Figure 1D, P < 0.001). On the third day, the same blood glucose level was achieved only 4 h after the administration (Figure 1E, P < 0.01). After treatment for 1 week, high-dosage rh-aFGF135 group exhibited a better hypoglycemic effect compared with vehicle group (12.5 ± 3.9 vs. 26.4 ± 2.3 mmol/L, P < 0.001). Up to the second week, the blood glucose levels in low-dosage rh-aFGF135 group also showed significant differences compared with the vehicle group (22.7 ± 1.9 vs. 26.4 ± 1.6 mmol/L, P < 0.05). After treatments for 5 weeks, the blood glucose level of the rats treated with high-dosage rh-aFGF135 was close to that of normal rats and did not cause hypoglycemia (Figure 1F). These results revealed that rh-aFGF135 play a better hypoglycemic effect in a dose-dependent manner in ZDF rats.

Rh-aFGF135 Improves the Tolerance of Glucose in ZDF Rats

After treatment with rh-aFGF135 for 26 days, when rh-aFGF135 could exert a stable hypoglycemic effect, OGTT was performed. The graph of concentration-time was drawn and the value of AUC was calculated and analyzed. The blood glucose levels in high-dosage rh-aFGF135 group were significantly lower than those in the vehicle group after taking oral glucose from 0 to 180 min (Figure 2A, P < 0.01 or P < 0.001). ZDF rats treated with rh-aFGF135 showed enhanced glycemia control, while the vehicle group lost the ability to control blood glucose, so the starting blood glucose remained at the high level. The AUC value of vehicle group was significantly higher than the normal group. However, compared with the vehicle control group, AUC value of rh-aFGF135-treated group was reduced in a dose-dependent manner (Figure 2B, P < 0.001). Altogether, these results indicated that rh-aFGF135 can improve the tolerance of glucose in ZDF rats.

FIGURE 2
www.frontiersin.org

Figure 2. Effect of rh-aFGF135 on oral glucose tolerance in diabetic ZDF rats. (A) Blood glucose levels in OGTT. (B) AUC value of OGTT. Compared to normal control, ###P < 0.001; Compared to vehicle control, ***P < 0.001, **P < 0.01, n = 6.

Rh-aFGF135 Ameliorates Insulin Resistance in ZDF Rats and HepG2 Cells

At the end of the experiment, in order to observe whether rh-aFGF135 could ameliorate insulin resistance in ZDF rats, ITT was analyzed. The results of ITT indicated that the blood glucose levels of rh-aFGF135 groups continued to decrease within 60 ∼ 90 min (Figure 3A). The AUC value of rh-aFGF135 groups was lower than that in the vehicle control group (Figure 3B, P < 0.001). ZDF rats are characterized by insulin resistance thus the levels of serum insulin were investigated. There were no significant differences in serum insulin concentration between all groups (data not shown). However, HOMA-IR values of rh-aFGF135 groups were significantly lower than that in the vehicle control group, due to much lower blood glucose levels (Figure 3C, P < 0.05 or P < 0.001).

FIGURE 3
www.frontiersin.org

Figure 3. Effects of rh-aFGF135 on insulin resistance in diabetic ZDF rats and HepG2 cells. (A) Blood glucose levels in ITT in ZDF rats. (B) AUC value of ITT in ZDF rats. (C) HOMA-IR in ZDF rats. (D) Effect of rh-aFGF135 on insulin resistance model in HepG2 cells. (E) Statistical analysis of relative expression of p-IRS-1 (human Ser 307, hSer 307) in HepG2 cells. (F) Western blotting of p-IRS-1 (human Ser 307, hSer 307) and IRS-1, Con: Control; M: Insulin resistance model; M + a: Insulin resistance model and rh-aFGF135 (400 ng/mL); M + m: Insulin resistance model and metformin (0.5 mM, positive control). Compared to normal control, ###P < 0.001, #P < 0.05; Compared to vehicle control, ***P < 0.001, **P < 0.01, *P < 0.05, n = 6.

The effect of rh-aFGF135 on insulin resistance was also examined in HepG2 cells. Compared with control group, 7.8 nM insulin induced insulin resistance and inhibited the absorption of glucose in HepG2 cells. When HepG2 cells were stimulated with 100 and 400 ng/mL rh-aFGF135, insulin resistance was improved and glucose uptake was promoted significantly (Figure 3D, P < 0.01 or P < 0.001), and there was no significant difference between the 400 ng/mL rh-aFGF135 treatment group and the control group in terms of glucose uptake rate. In order to detect whether aFGF improved insulin resistance on HepG2 cells by affecting the insulin signaling pathway, we detected the phosphorylation of insulin receptor substrate-1 (p-IRS-1) on serine 307 of human origin by western blotting. The results showed that rh-aFGF135 significantly increased the p-IRS-1 (human serine 307) in the insulin-resistant HepG2 cells (Figures 3E,F, P < 0.01 or P < 0.05). These findings indicated that rh-aFGF135 could ameliorate the insulin resistance in ZDF rats and HepG2 cells.

Rh-aFGF135 Partially Improves Serum Biochemical Parameters of ZDF Rats

At the end of the experiment, ZDF rats were sacrificed after fasting 12 h. The levels of AST, ALT, ALP, GSP, FFA, LDL-c, and HDL were measured. The data showed that low-dosage and/or high-dosage rh-aFGF135 decreased AST, ALT, GSP, and FFA levels significantly compared with vehicle control group (Figure 4, P < 0.01 or P < 0.001). High-dosage rh-aFGF135 could significantly increase the level of serum LDL-c (Figure 4F, P < 0.001). However, the levels of ALP and HDL did not differ from the vehicle control group (Figures 4C,G, P > 0.05).

FIGURE 4
www.frontiersin.org

Figure 4. Effects of rh-aFGF135 on AST (A), ALT (B), ALP (C), GSP (D), FFA (E), LDL-c (F), and HDL (G) levels in the serum of diabetic ZDF rats. Compared to normal control, ###P < 0.001, ##P < 0.01, #P < 0.05; Compared to vehicle control, ***P < 0.001, **P < 0.01, n = 6.

Rh-aFGF135 Remodels Adipose Tissue Without Any Side Effects on Other Tissues

Some researches demonstrated that obesity-related adipocyte degeneration causes release of cell-free DNA (cf DNA), which promoted macrophage accumulation in adipose tissue and induced insulin resistance of adipose tissue (Bartels et al., 2020). In addition, fat storage capacity is also affected by the size of adipocytes. In this study, we investigated adipose tissue morphology by H&E staining. Compared with the vehicle group, rh-aFGF135 significantly reduced the size of adipocytes in a dose-dependent manner (Figures 5A,B, P < 0.001). In the vehicle group, there was some visible dead adipocytes. Whereas, high-dosage rh-aFGF135 significantly improved the degeneration of adipocytes (marked with red arrows), and has no influence on other organs (Figure 5C). These findings revealed that rh-aFGF135 may be involved in adipose tissue remodeling.

FIGURE 5
www.frontiersin.org

Figure 5. Effects of rh-aFGF135 on the organs of diabetic ZDF rats. (A) The effect of rh-aFGF135 on the pathology of adipose tissue (100×) in diabetic ZDF rats (H&E staining). (a) Normal group. (b) ZDF rats treated with vehicle. (c) ZDF rats treated with rh-aFGF135 (0.25 mg/kg). (d) ZDF rats treated with rh-aFGF135 (0.50 mg/kg). The dead adipocytes were marked with red arrows. (B) Statistical analysis of relative size of adipocytes. (C) H&E staining of liver (200×), kidney (200×), spleen (100×), and pancreas (200×) in diabetic ZDF rats treated with rh-aFGF135. Compared to normal control, ###P < 0.001, ##P < 0.01; Compared to vehicle control, ***P < 0.001, n = 6.

Discussion

Type 2 diabetes mellitus is a chronic and complex metabolic disorder disease that is characterized by hyperglycemia resulting from insulin resistance (Steppan et al., 2001). Although, there is an array of anti-diabetic drugs to cure T2DM but most of them are accompanied by side effects such as weight gain, hypoglycemia, and so on. Recently, some researches revealed the function of aFGF on regulating glucose and lipid metabolism which made it a new drug to cure T2DM (Suh et al., 2014; Li, 2019). In this study, we used diabetic ZDF rats to investigate the pharmacological effects of rh-aFGF135 in the treatment of type 2 diabetes.

Controlling blood glucose level is one of the most important indexes of hypoglycemic drugs, so we studied the effect of rh-aFGF135 on blood glucose levels of diabetic ZDF (fa/fa) rats (Nwose et al., 2006). In addition, we determined the physiological effects such as OGTT, ITT, HOMA-IR, and serum biochemical parameters in ZDF rats. In this study, the blood glucose levels of the treatment groups were decreased compared with vehicle control group. The OGTT further proved that rh-aFGF135 could significantly improve the ability of ZDF rats to regulate blood glucose. Insulin resistance is one of the central causes in the development of type 2 diabetes and was revealed by IR value (Stickel and Hellerbrand, 2010). ZDF rats are characterized by insulin resistance, so we measured the serum insulin levels at the end of the whole experiment and found that there were no significant differences between all groups (data not shown), indicating that rh-aFGF135 didn’t stimulate insulin secretion. This is consistent with the previous study which reported that parenteral aFGF might act as an insulin sensitizer rather than insulin secretagogue or insulin mimetic (Suh et al., 2014). The result of HOMA-IR showed that rh-aFGF135 could ameliorate insulin resistance in ZDF rats. Remarkably, rh-aFGF135 did not lead to excessive hypoglycemia. We also obtained similar results in vitro experiments, which was rh-aFGF135 could protect HepG2 cells from damage caused by high glucose and alleviated insulin resistance. Many studies have reported that phosphorylation of IRS-1 at serine 307 of human origin (hSer307) is closely related to the enhancement of insulin signal transduction (Giraud et al., 2004; Danielsson et al., 2005; Copps and White, 2012). And our results from western blotting suggested that rh-aFGF135 regulate insulin resistance partially by activating phosphorylation of IRS-1 (human Ser 307) in HepG2 cells.

ALT and AST are two biomarkers of liver damage, which are associated with hyperglycemia in diabetes (Postic et al., 2004; Goorden et al., 2013). The ALT and AST levels in rh-FGF135-treated groups decreased obviously, indicating that rh-aFGF135 may alleviate hepatocyte injury in ZDF rats. In addition, rh-aFGF135 revealed its role in adipose remodeling in a dose-dependent manner. Pathological hypertrophy of adipocytes is one of the features of diabetes. Previous studies have shown that small adipocytes are more sensitive to insulin and have better fat storage capacity than hypertrophic adipose tissue (Lundgren et al., 2007). Our results showed that rh-aFGF135 could significantly reduce the size of adipocytes in the adipose tissue of ZDF rats, indicating that rh-aFGF135 could increase the sensitivity of adipocytes to insulin and enhance the fat storage capacity of adipocytes. Through the above results, we found that rh-aFGF135 revealed the ability to regulate blood glucose and improved the insulin sensitivity in ZDF rats.

Our study shows that rh-aFGF135 could be used as a candidate for diabetes treatment with no side effect of hypoglycemia which would have great advantages in some special diseases. For example, patients with stress diabetes are often accompanied by symptoms like coma. The ordinary hypoglycemic drugs cannot prevent hypoglycemia while ensuring rapid blood glucose reduction. However, it won’t be a problem for rh-aFGF135 because it can ensure no hypoglycemia as we found in our experiments. Although our experiments pointed out that the hypoglycemic effect of rh-aFGF135 may be related to the activation of IRS-1 (human Ser 307), its pathways and mechanisms should be further studied.

In conclusion, rh-aFGF135 can decrease serum glucose level, ameliorate insulin resistance and reduce the adipocyte size. Rh-aFGF135 featured a hypoglycemic effect with no side effect of hypoglycemia. In some special case, rh-aFGF135 may be a potential therapeutic agent for its hypoglycemic effect.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Ethics Statement

The animal study was reviewed and approved by the Animal Ethical Committee of Tianjin Institute of Pharmaceutical Research.

Author Contributions

LZ, QZ, and MC carried out the studies and collected the data. XY and CL performed the statistical analysis and participated in its design. WS and QH participated in acquisition and analysis of data. XW designed the study and wrote the manuscript. All authors have read and approved the final manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (Nos. 81601695 and 81600759) and Wenzhou Municipal Science and Technology Bureau (No. Y20180150).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Abbreviations

ALT, Alanine aminotransferase; ALP, alkaline phosphatase; AUC, area under curve; AST, aspartate aminotransferase; BCA, bicinchoninic acid; cfDNA, cell-free DNA; DMEM, Dulbecco’s modified eagle medium; DMSO, dimethyl sulfoxide; ECL, electrochemiluminescence; ELISA, enzyme linked immunosorbent assay; FBG, fasting blood glucose; FINS, fasting insulin; FBS, fetal bovine serum; FFA, free fatty acid; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; GSP, glycosylated serum protein; H&E staining, hematoxylin-eosin staining; HDL, high-density lipoprotein; HOMA-IR, homeostasis model assessment-insulin resistance; HRP, horseradish peroxidase; IRS-1, insulin receptor substrate-1; IR, insulin resistance; ITT, insulin tolerance test; IU, international unit; LDL-c, low-density lipoprotein-cholesterol; MTT, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide; OGTT, oral glucose tolerance test; PPARγ, peroxisome proliferator-activated receptor γ; PMSF, phenylmethyl sulfonylfluoride; PBS, phosphate buffer saline; p-IRS-1, phospho-insulin receptor substrate-1; PVDF, polyvinylidene difluoride; RIPA, radio immunoprecipitation assay; rh-aFGF135, recombinant human acidic fibroblast growth factor 135; SD, standard deviation; SDS-PAGE, sodium dodecyl sulfate-polyacrylamide gel electrophoresis; TBST, tris buffered saline tween; T2DM, type 2 diabetes mellitus; ZDF rats, Zucker diabetic fatty rats.

References

Bartels, M. S., Scheffler, L., Chakaroun, R., Dietrich, A., Bluher, M., Stumvoll, M., et al. (2020). Increased circulating cell-free DNA in insulin resistance. Diabetes Metab. 46, 249–252. doi: 10.1016/j.diabet.2018.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Beenken, A., and Mohammadi, M. (2009). The FGF family: biology, pathophysiology and therapy. Nat. Rev. Drug Discov. 8, 235–253. doi: 10.1038/nrd2792

PubMed Abstract | CrossRef Full Text | Google Scholar

Canivell, S., and Gomis, R. (2014). Diagnosis and classification of autoimmune diabetes mellitus. Autoimmun. Rev. 13, 403–407. doi: 10.1016/j.autrev.2014.01.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Chang, E., Park, C. Y., and Park, S. W. (2013). Role of thiazolidinediones, insulin sensitizers, in non-alcoholic fatty liver disease. J. Diabetes Investig. 4, 517–524. doi: 10.1111/jdi.12107

PubMed Abstract | CrossRef Full Text | Google Scholar

Copps, K. D., and White, M. F. (2012). Regulation of insulin sensitivity by serine/threonine phosphorylation of insulin receptor substrate proteins IRS1 and IRS2. Diabetologia 55, 2565–2582. doi: 10.1007/s00125-012-2644-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Danielsson, A., Ost, A., Nystrom, F. H., and Stralfors, P. (2005). Attenuation of insulin-stimulated insulin receptor substrate-1 serine 307 phosphorylation in insulin resistance of type 2 diabetes. J. Biol. Chem. 280, 34389–34392. doi: 10.1074/jbc.C500230200

PubMed Abstract | CrossRef Full Text | Google Scholar

Ding, X., Jian, T., Wu, Y., Zuo, Y., Li, J., Lv, H., et al. (2019). Ellagic acid ameliorates oxidative stress and insulin resistance in high glucose-treated HepG2 cells via miR-223/keap1-Nrf2 pathway. Biomed. Pharmacother. 110, 85–94. doi: 10.1016/j.biopha.2018.11.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Gimenez-Gallego, G., Rodkey, J., Bennett, C., Rios-Candelore, M., DiSalvo, J., and Thomas, K. (1985). Brain-derived acidic fibroblast growth factor: complete amino acid sequence and homologies. Science 230, 1385–1388. doi: 10.1126/science.4071057

PubMed Abstract | CrossRef Full Text | Google Scholar

Giraud, J., Leshan, R., Lee, Y. H., and White, M. F. (2004). Nutrient-dependent and insulin-stimulated phosphorylation of insulin receptor substrate-1 on serine 302 correlates with increased insulin signaling. J Biol. Chem. 279, 3447–3454. doi: 10.1074/jbc.M308631200

PubMed Abstract | CrossRef Full Text | Google Scholar

Goorden, S. M., Buffart, T. E., Bakker, A., and Buijs, M. M. (2013). [Liver disorders in adults: ALT and AST]. Ned. Tijdschr. Geneeskd. 157:A6443.

Google Scholar

Guariguata, L., Whiting, D. R., Hambleton, I., Beagley, J., Linnenkamp, U., and Shaw, J. E. (2014). Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res. Clin. Pract. 103, 137–149. doi: 10.1016/j.diabres.2013.11.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, X., Wang, M., Bei, W., Han, Z., and Guo, J. (2014). The Chinese herbal medicine FTZ attenuates insulin resistance via IRS1 and PI3K in vitro and in rats with metabolic syndrome. J. Transl. Med. 12:47. doi: 10.1186/1479-5876-12-47

PubMed Abstract | CrossRef Full Text | Google Scholar

Jiang, H., Ma, Y., Yan, J., Liu, J., and Li, L. (2017). Geniposide promotes autophagy to inhibit insulin resistance in HepG2 cells via P62/NFkappaB/GLUT4. Mol. Med. Rep. 16, 7237–7244. doi: 10.3892/mmr.2017.7503

PubMed Abstract | CrossRef Full Text | Google Scholar

Jonker, J. W., Suh, J. M., Atkins, A. R., Ahmadian, M., Li, P., Whyte, J., et al. (2012). A PPARgamma-FGF1 axis is required for adaptive adipose remodelling and metabolic homeostasis. Nature 485, 391–394. doi: 10.1038/nature10998

PubMed Abstract | CrossRef Full Text | Google Scholar

Lehrke, M., and Lazar, M. A. (2005). The many faces of PPARgamma. Cell 123, 993–999. doi: 10.1016/j.cell.2005.11.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, X. (2019). The FGF metabolic axis. Front. Med. 2019:0711–y. doi: 10.1007/s11684-019-0711-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Lundgren, M., Svensson, M., Lindmark, S., Renstrom, F., Ruge, T., and Eriksson, J. W. (2007). Fat cell enlargement is an independent marker of insulin resistance and ‘hyperleptinaemia’. Diabetologia 50, 625–633. doi: 10.1007/s00125-006-0572-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Manaharan, T., Ming, C. H., and Palanisamy, U. D. (2013). Syzygium aqueum leaf extract and its bioactive compounds enhances pre-adipocyte differentiation and 2-NBDG uptake in 3T3-L1 cells. Food Chem. 136, 354–363. doi: 10.1016/j.foodchem.2012.08.056

PubMed Abstract | CrossRef Full Text | Google Scholar

Mohan, S. K., Rani, S. G., and Yu, C. (2010). The heterohexameric complex structure, a component in the non-classical pathway for fibroblast growth factor 1 (FGF1) secretion. J. Biol. Chem. 285, 15464–15475. doi: 10.1074/jbc.M109.066357

PubMed Abstract | CrossRef Full Text | Google Scholar

Nakagami, H., Morishita, R., Yamamoto, K., Taniyama, Y., Aoki, M., Yamasaki, K., et al. (2002). Hepatocyte growth factor prevents endothelial cell death through inhibition of bax translocation from cytosol to mitochondrial membrane. Diabetes 51, 2604–2611. doi: 10.2337/diabetes.51.8.2604

PubMed Abstract | CrossRef Full Text | Google Scholar

Nwose, E. U., Jelinek, H. F., Richards, R. S., and Kerr, P. G. (2006). Changes in the erythrocyte glutathione concentration in the course of diabetes mellitus. Redox Rep. 11, 99–104. doi: 10.1179/135100006X116583

PubMed Abstract | CrossRef Full Text | Google Scholar

Postic, C., Dentin, R., and Girard, J. (2004). Role of the liver in the control of carbohydrate and lipid homeostasis. Diabetes Metab. 30, 398–408. doi: 10.1016/s1262-3636(07)70133-7

CrossRef Full Text | Google Scholar

Roden, M. (2012). [Diabetes mellitus: Definition, classification and diagnosis]. Wien Klin Wochenschr. 124(Suppl. 2), 1–3. doi: 10.1007/s00508-012-0269-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Steppan, C. M., Bailey, S. T., Bhat, S., Brown, E. J., Banerjee, R. R., Wright, C. M., et al. (2001). The hormone resistin links obesity to diabetes. Nature 409, 307–312. doi: 10.1038/35053000

PubMed Abstract | CrossRef Full Text | Google Scholar

Stickel, F., and Hellerbrand, C. (2010). Non-alcoholic fatty liver disease as a risk factor for hepatocellular carcinoma: mechanisms and implications. Gut 59, 1303–1307. doi: 10.1136/gut.2009.199661

PubMed Abstract | CrossRef Full Text | Google Scholar

Suh, J. M., Jonker, J. W., Ahmadian, M., Goetz, R., Lackey, D., Osborn, O., et al. (2014). Endocrinization of FGF1 produces a neomorphic and potent insulin sensitizer. Nature 513, 436–439. doi: 10.1038/nature13540

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, L., Huang, T., Bi, J., Zheng, Y., Lu, C., Hui, Q., et al. (2020). Long-Term Toxicity Study of Topical Administration of a Highly-Stable rh-aFGF Carbomer 940 Hydrogel in a Rabbit Skin Wound Model. Front. Pharmacol. 11:58. doi: 10.3389/fphar.2020.00058

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, W. Y., Lee, J. J., Kim, Y., Kim, I. S., Han, J. H., Lee, S. G., et al. (2012). Effect of eriodictyol on glucose uptake and insulin resistance in vitro. J. Agric. Food Chem. 60, 7652–7658. doi: 10.1021/jf300601z

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: aFGF, type 2 diabetes, hypoglycemic effect, insulin resistance, safety

Citation: Zhang L, Zhou Q, Chen M, Yang X, Lu C, Sun W, Hui Q and Wang X (2021) Hypoglycemic Efficacy of Rh-aFGF Variants in Treatment of Diabetes in ZDF Rats. Front. Cell Dev. Biol. 9:609383. doi: 10.3389/fcell.2021.609383

Received: 23 September 2020; Accepted: 01 February 2021;
Published: 18 February 2021.

Edited by:

Rebecca Ann Wingert, University of Notre Dame, United States

Reviewed by:

Akhilesh Kumar, Central Drug Research Institute (CSIR), India
Xia Lei, Oklahoma State University, United States

Copyright © 2021 Zhang, Zhou, Chen, Yang, Lu, Sun, Hui and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xiaojie Wang, 18858811123@126.com

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.