Metabolomic Analysis of Biochemical Changes in the Plasma of High-Fat Diet and Streptozotocin-Induced Diabetic Rats after Treatment with Isoflavones Extract of Radix Puerariae

Zhang, Yan; Wang, Ping; Xu, Youdong; Meng, Xianli; Zhang, Yi

doi:https://doi.org/10.1155/2016/4701890

Evidence-Based Complementary and Alternative Medicine

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Volume 2016 | Article ID 4701890 | https://doi.org/10.1155/2016/4701890

Metabolomic Analysis of Biochemical Changes in the Plasma of High-Fat Diet and Streptozotocin-Induced Diabetic Rats after Treatment with Isoflavones Extract of Radix Puerariae

Yan Zhang,¹Ping Wang,¹Youdong Xu,¹Xianli Meng,¹and Yi Zhang²

Academic Editor: Menaka C. Thounaojam

Received06 Oct 2015

Revised10 Jan 2016

Accepted31 Jan 2016

Published03 Mar 2016

Abstract

The main purpose of this study was to investigate the protective effects of total isoflavones from Radix Puerariae (PTIF) in diabetic rats. Diabetes was induced by a high-fat diet and intraperitoneal injection of low-dose streptozotocin (STZ; 40 mg/kg). At 26 weeks onwards, PTIF 421 mg/kg was administrated to the rats once daily consecutively for 10 weeks. Metabolic profiling changes were analyzed by Ultraperformance Liquid Chromatography-Quadrupole-Exactive Orbitrap-Mass Spectrometry (UPLC-Q-Exactive Orbitrap-MS). The principal component discriminant analysis (PCA-DA), partial least-squares discriminant analysis (PLS-DA), and orthogonal partial least-squares discriminant analysis (OPLS-DA) were used for multivariate analysis. Moreover, free amino acids in serum were determined by high-performance liquid chromatography with fluorescence detector (HPLC-FLD). Additionally, oxidative stress and inflammatory cytokines were evaluated. Eleven potential metabolite biomarkers, which are mainly related to the coagulation, lipid metabolism, and amino acid metabolism, have been identified. PCA-DA scores plots indicated that biochemical changes in diabetic rats were gradually restored to normal after administration of PTIF. Furthermore, the levels of BCAAs, glutamate, arginine, and tyrosine were significantly increased in diabetic rats. Treatment with PTIF could regulate the disturbed amino acid metabolism. Consequently, PTIF has great therapeutic potential in the treatment of DM by improving metabolism disorders and inhibiting oxidative damage.

1. Introduction

Diabetes mellitus (DM), a typical complex metabolic disease characterized by insulin deficiency or insulin resistance, can induce a series of complications such as nephropathy, cardiovascular diseases, and diabetic retinopathy. DM was known as “Xiaoke” disease in traditional Chinese medicine. Herbal medications play a particularly important role in the treatment of diabetes for thousands of years and their curative mechanism has been gradually recognized nowadays [1]. For example, isoflavones-containing herbs, also commercially available as dietary supplements, have many reported benefits to cardiovascular and diabetes treatments [2, 3]. Meanwhile, accumulated clinical evidence shows that the conjunction usage of traditional Chinese medicine with western medicine could largely minimize the occurrence of diabetic complications [4].

Puerariae Radix, the dried root of Pueraria lobata (Willd.) Ohwi, is also known as Gegen and Kudzu. It is an important source of isoflavones, including puerarin, daidzin, genistin, daidzein, and genistein (Figure 1), which are considered to be the principal bioactive ingredients [5]. Gegen has been used widely in traditional Chinese classical prescriptions for diabetes treatment, such as Gegen Qinlian decoction, Huangqi Gengen decoction, and Yuquan Wan. Emerging evidence also indicates that the extract of Puerariae Radix can improve antioxidant defense system by reducing the plasma level of coenzyme Q9 and MDA [6]. Puerarin has shown great potential benefits in diabetes treatment, not only protecting islets cells from oxidative stress by activating antioxidant enzymes [7], but also greatly improving insulin responsiveness in diabetic mice when used as an adjuvant for metabolic disease [8]. However, the exact therapeutic mechanism of isoflavones extract of Radix Puerariae on diabetes has not yet been well explained.

Metabolomics can provide a systematic overview on the impact of the disease processes and drug interventions, which is well coincident with the holistic theory of Chinese medicine [9]. Recently, metabonomics has been increasingly applied in the diagnosis and evaluation of the therapeutic effects of DM and its complications [10, 11]. For instance, 12 biomarkers were identified using metabolomics in KKay mice, and a water-soluble extract from Ophiopogon japonicus has potential activity against diabetes [12]. A recent metabolomic study suggested that 20(S)-ginsenoside Rg3, an active ingredient of Panax ginseng, may be involved with the regulation of nucleic acid metabolism, energy metabolism, and gut flora metabolism in type 2 diabetes [13]. Another famous natural product, berberine, might play a pivotal role through downregulating the high level of free fatty acids as the metabolomics study showed for type 2 diabetes treatment [14]. Taken together, these studies unveiled that diabetic diseases have a direct relationship with a disorder in the lipids, fatty acids, and energy metabolism. Additionally, as one kind of metabolites, amino acids especially the branched-chain amino acids (BCAAs) are strongly associated with diabetes and its complications [15] and can presage the development of diabetes [16].

In the development of diabetes and its complications, oxidative stress or imbalance between prooxidants and antioxidants is often thought to be involved [17]. Oxidative stress reflects an imbalance between reactive oxygen species (ROS) and the antioxidants, and high level of this can cause severe cellular dysfunction including membrane lipid peroxidation, DNA fragmentation, and protein damage [18]. On the mechanism of oxidative damage, many studies have identified that the overproduction of superoxide causes the high gene expression of inflammatory cytokines, such as tumor necrosis factor- (TNF-) and vascular endothelial growth factor (VEGF) [19]. In addition, inflammation may cause pancreatic -cell dysfunction, the development of insulin resistance, and so on [20, 21]. In fact, as some experimental and clinical studies have strongly suggested, the treatment based on antioxidant and anti-inflammatory is effective in DM and its complications therapeutic [22, 23].

Considering the DM is associated with metabolic disorders, advanced oxidative stress, and chronic inflammation, we evaluated the therapeutic effects of Puerariae Radix on diabetic rats model induced by a high-fat diet and low-dose streptozotocin and explored the metabolomics profiles using Ultraperformance Liquid Chromatography-Quadrupole-Exactive Orbitrap-Mass Spectrometry and liquid chromatography with fluorescence detector.

2. Materials and Methods

2.1. Chemicals and Reagents

Puerarin with the batch number of 110752-200912 was bought from NICPBP (China). Daidzin (MUST-15031507), daidzein (MUST-1505-1511), genistin (MUST-14110908), and genistein (MUST-15021802) were bought from the Chengdu Must Bio-Technology Co., Ltd. (Chengdu, China). STZ with the batch number of SLBB7526V were obtained from Sigma Chemical Co. (St. Louis, MO, USA). Water used in this study was prepared by ULUP Ultrapure Water System (Ulupure, Chengdu, China). Methanol and acetonitrile with HPLC-grade were purchased from Thermo Fisher Scientific Inc. (Iowa, USA).

2.2. Animals and Experimental Design

Healthy adult male Sprague-Dawley rats weighing () g were purchased from the Animal Breeding Center of DaShuo Biotechnology Co., Ltd. (Chengdu, China). All rats were maintained on an alternating 12 h light/dark cycle, at a temperature of 22–25°C and humidity of 55%–60%. This study was carried out in China State Administration of TCM, Chengdu University of TCM (TCM Pharmacology P3 laboratory, number TCM2032043). Experimental procedures were strictly in accordance with the Guide for the Care and Use of Laboratory Animals. The animal protocol was approved by the Animal Ethical Committee of Chengdu University of Traditional Chinese Medicine. Rats were divided into normal group and high-fat diet group. Normal group was fed with standard diet. High-fat diet group was fed with high-fat diet for six weeks and then intraperitoneally injected with a single dose of a freshly prepared solution of streptozotocin (40 mg/kg in citric acid-sodium citrate buffer, pH 4.2) [24, 25]. Normal rats received citric acid-sodium citrate buffer only. After STZ injection, all rats were fed with standard diet. Animals with blood glucose levels ≥16.7 mmol/L 72 h after administration of STZ were considered as diabetic rats. Diabetic rats were randomly divided into two groups: the diabetic group and diabetic + PTIF group. At 26 weeks onwards, PTIF was administrated to the treatment rats by intragastric gavage (i.g.) at a dosage of 421 mg/kg. The normal rats and untreated diabetic rats received distilled water the same way. PTIF treatment was performed once daily consecutively for 10 weeks. All animals were allowed to eat and drink freely. At the end of the experiment, plasma/serum samples from each one were isolated by centrifugation at 3500 rpm for 10 min at 4°C. The samples were immediately stored at −20°C until the measurement of oxidative stress and inflammatory cytokines and at −80°C until the metabolomics and amino acid analysis were performed.

2.3. Preparation of PTIF

PTIF was provided by Taiji Group, Chongqing Fuling Pharmaceutical Factory Co., Ltd. (China). Isoflavones extract of Radix Puerariae: Pueraria powder was extracted with 10 times or 8 times volume of 60% ethanol for 1 h, respectively. The solvent was recovered under reduced pressure. Macroporous resin was used for the purification of the concentrated extraction solution. Isoflavones extract of Radix Puerariae was obtained with vacuum concentration, decompression drying and finally through a 100-mesh sieve.

2.4. Standardization of PTIF

A high-performance liquid chromatography method was established for the identification of the major compounds in PTIF (Agilent 1260 HPLC system, Agilent, CA, USA). A Capcell PAK C-18 analytical column (100 mm × 2.0 mm, 3 μm, Shisedo, Japan) was used with the column temperature maintained at 35°C. 0.1% formic acid in water and 0.1% formic acid in acetonitrile were treated as mobile phases A and B, respectively. The mobile phase gradient elution was programmed as follows: 90% A (0.01−12 min), 90%−80% A (12.1−20 min), and 80%−75% A (20.1−30 min). The flow rate was set at 0.5 mL/min, and the sample injection volume was set at 50 μL.

2.5. Measurement of Oxidative Stress and Inflammatory Cytokines

Superoxide dismutase (SOD₁) levels and hypoxia inducible factor 1 alpha (HIF-1α) were measured by a sandwich enzyme immunoassay method using a kit from Uscn Life Science Inc. (Wuhan, China). Plasma Malondialdehyde (MDA) was measured by competitive inhibition enzyme immunoassay technique using a kit from Uscn Life Science Inc. (Wuhan, China). Serum vascular endothelial growth factor (VEGF) and intercellular adhesion molecule -1 (ICAM-1) were measured by a sandwich enzyme immunoassay technique using a kit from R&D Systems, Inc. (USA). The concentration of nitric oxide (NO) in serum was quantified based on the enzymatic conversion of nitrate to nitrite by nitrate reductase using a Nitrotyrosine-EIA kit from R&D Systems, Inc. (USA). All data were carried out by Varioskan Multifunctional full wavelength microplate reader (Thermo Fisher Scientific, USA) according to the manufacturers.

2.6. UPLC-Q-Exactive Orbitrap-MS Analysis

The plasm samples were reconstituted to room temperature before analysis. Then, 400 μL acetonitrile was added to 100 μL of sample for protein precipitation. The mixture was vortexed for 3 min and then centrifuged at 12,000 rpm for 10 min at 4°C. Finally, the supernatant was transferred to an autosampler vial for further determination.

All the LC/MS data were acquired using Dionex™ Chromeleon™ 6.8 and Thermo Xcalibur software. The plasma samples were performed with a C18 column (Acquity UPLC BEH C18, 2.1 mm × 100 mm, 1.7 μm, Waters, United States). 0.1% formic acid in water and 0.1% formic acid in acetonitrile were considered as mobile phases A and B, respectively. The flow rate of 0.4 mL/min at 35°C was used in linear gradients as follows: 95–90% A (0–3 min), 90–85% A (3–6 min), 85–60% A (6–20 min), 60–35% A (20–25 min), 35–5% A (25–30 min), and 5% A (30–35 min). The standard positive ion mode was selected under the following conditions: full scan range, 80 to 1200; scan resolution, 7,000; sheath gas flow rate, 30 arbitrary units; aux gas flow rate, 10 arbitrary units; spray voltage, 3.5 KV; capillary temperature, 350°C; aux gas temperature, 200°C. The background ion 445.12503(+) was used as lock mass to ensure the mass calibration accuracy. A sample volume of 5 μL was used for injection.

2.7. Identification of Potential Biomarkers

The raw MS data obtained by X calibur were exported to MZ mine 2.14.2 using Thermo MS File Reader program. The main MZ mine parameters were set as follows: mass detector was exact mass at noise level intensity; min time span was 0.1 min with tolerance 5.0 ppm; chromatogram deconvolution used baseline cut-off algorithm and min peak height with 5; isotopic peaks grouper used lowest representative isotope and setting maximum charge 1. Each sample data was normalized to total area to correct for the MS response shift prior to multivariate analysis. The information of potential biomarkers was obtained by searching databases of KEGG, Lipidmaps, and Metlin based on the accurate molecular weights and isotope shapes.

2.8. Amino Acid Analysis

Free amino acids in serum samples were measured by a HPLC-FLD method using an AccQ·Tag precolumn derivatization technology with waters AccQ·Tag chemistry package (Waters Chemical Co., USA). 70 μL borate extraction agent was added to 10 μL serum, and then 20 μL AccQ-Flour derived reagent was added to the mixture. After incubating at 55°C for 10 min, supernatants were collected for the analysis. The amino acid concentration was measured with high-performance liquid chromatography using an amino acid analysis column (3.9 mm × 150 mm, 4 μm, Waters, USA) and a mobile phase consisting of (A) water containing 10% AccQ·Tag Eluent A and (B) water containing 40% acetonitrile at a flow rate of 1 mL/min at 37°C with an excitation wavelength at 250 nm and an emission wavelength at 395 nm. The mobile phase gradient elution was programmed as follows: 5–98% A (0–0.5 min), 98–93% A (0.5–15 min), 93–90% A (15–19 min), 90–67% A (19–32 min), 67% A (32-33 min), 67–0% A (33-34 min), 0% A (34–37 min), 0–100% A (37-38 min), and 100% A (38–64 min). The sample injection volume was set at 10 μL.

2.9. Data Analysis

Data was analyzed using R version 3.1.2 (R Core Team; 2014 R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing, Vienna, Austria; URL: https://www.r-project.org/.), PCA-DA, PLS-DA, and OPLS-DA in package MUMA (Metabolomics Univariate and Multivariate Analysis, Ver 1.4; Edoardo G, Francesca C, Dimitrios S, Silvia M, Andrea S, and Michela G, 2012). R package version 1.4. https://cran.r-project.org/web/packages/muma/index.html) of R was used for multivariate analysis. All results were presented as the mean ± SD. One-way analysis of variance (ANOVA) was used for significance analysis. Values of were considered statistically significant.

3. Results

3.1. Standardization of PTIF

A typical HPLC fingerprint of PTIF was shown in Figure 2. Five major components were determined by a HPLC method. They were well separated and the retention times are 5.8, 11.7, 18.2, 23.7, and 29.3 min for puerarin, daidzin, genistin, daidzein, and genistein, respectively. As a result, the total isoflavonoids content was 48.00%. As the main constituent, the concentration of puerarin was 19.8%. Daidzin was the next highest at 2.7%, and genistin and daidzein were present at 1.53% and 0.33%, respectively, while genistein has the lowest level at 0.12%.

(a)

(b)

3.2. Effect of PTIF on Body Weight and Blood Glucose Level

As shown in Table 1, compared with the normal group, STZ treatment resulted in a significant decrease in body weight during the 36 weeks of observation. STZ treatment also induced a sustained high blood glucose level as shown in Table 2. While, compared with diabetic group, rats in diabetic + PTIF group showed a significant increase in body weight at weeks 34 and 36 (), there was no significant difference in blood glucose with the treatment of PTIP.

3.3. Effect of PTIF on Oxidative Stress and Inflammatory Cytokines in STZ-Induced Diabetic Rats

To investigate the effect of PTIF on antioxidant and anti-inflammatory, we examined the concentration of oxidative stress and inflammatory cytokines. As illustrated in Figure 3, compared with the normal group, the activation of SOD₁ in diabetic rats was obviously decreased () and significantly increased by PTIF treatment (). The concentrations of HIF-α and MDA were both remarkably increased and were restored to normal values in PTIF-treated rats. In diabetic rats, we found increased levels of VEGF and ICAM-1 () (Figure 3). Moreover, there were no visible differences in NO levels in the three groups (). Treatment with PTIF has no significant influences on inflammatory cytokines, such as VEGF, ICAM-1, and NO in this study ().

3.4. Validation of UPLC-Q-Exactive Orbitrap-MS Conditions

The plasma samples were analyzed by UPLC-Q-Exactive Orbitrap-MS according to the method below. Representative UPLC-Exactive Plus Orbitrap-Mass TIC chromatograms of the plasma samples from the three groups are presented in Figure 4. The precision, repeatability of sample preparation, and system stability were validated before the experimental sample analysis. The results indicated that this method could be used in subsequent metabolomics analysis of plasma samples.

3.5. Pattern Recognition and Identification of Potential Biomarkers

The principal component discriminant analysis (PCA-DA), partial least-squares discriminant analysis (PLS-DA), and orthogonal partial least-squares discriminant analysis (OPLS-DA) are frequently adopted for multivariate analysis. The discovery of potential biomarkers in the plasma enhances our understanding of significant metabolic variations associated with DM rats. As shown in Figure 5, PLS-DA scores plots indicated that there is a satisfactory classification between the normal and diabetic rats, which indicated that the plasma metabolic fingerprint was significantly disturbed by the treatment of streptozotocin. Moreover, biochemical changes of model rats were gradually restored to normal after administration of PTIF, which means that PTIF have a significant efficacy in the improvement of metabolism disorders in STZ-induced diabetic rats.

(a)

(b)

(c)

Furthermore, eleven potential metabolite biomarkers were identified and their functional pathways have been analyzed (shown in Table 3). Boxplots of identical biomarkers intensity of rat plasma were shown in Figure 6. In particular, the lipid metabolism-related metabolites, including PC(21:0/0:0)[U], 2-hexylglycerol, 7-keto-n-caprylic acid, 7-oxoheptanoic acid, PC(22:0/12:0), and PC(20:4(5Z,8Z,11Z,14Z)/18:1(11Z)), have been identified in diabetic rats, indicating a dysregulation of lipid metabolites in diabetic rats. Compared with normal control group, the phylloquinone level was significantly increased in diabetic model (). Moreover, the metabolomic results also illustrated that PTIF possess a therapeutic influence on DM by partially ameliorating the coagulopathy. In addition, 5′-methylthioadenosine, Lys-Lys-Ser, Leu-Ser-Lys-Lys, and Gly-His-Arg-Gly were found to be significantly increased in model rats (). As shown in Figure 6, the marker metabolites with dark gray background possibly relate with amino acids metabolism. Treatment with PTIF exhibited a benefit effect on regulating the amino acid metabolism disorders to normal state.

3.6. Amino Acid Analysis Conditions

Free amino acids in serum samples were measured by a HPLC-FLD using an AccQ·Tag precolumn derivatization method. A typical high-performance liquid-fluorescent detection chromatography profile of standard mixtures of amino acids and extract of rat plasma was shown in Figure 7. In the chromatographic conditions established, the calibration curves showed good linearity over the studied concentration range. The within- and between-day variation coefficients were lower than 9.28% and 8.72%, respectively. The spiked recoveries were greater than 75.02%. The results showed that this method was satisfactory for the analysis of amino acids.

(a)

(b)

3.7. Plasma Amino Acid Concentration

Aspartate and cysteine were not detectable in some samples, so the statistical analyses of aspartate and cysteine were not involved. As shown in Table 4, compared with normal control group, the concentrations of the BCAAs (leucine, valine, and isoleucine) were significantly increased in diabetic rats (). Furthermore, the levels of glutamate, arginine, and tyrosine in serum were also significantly increased (). PTIF supplementation in diabetic rats can lower the level of glutamate and leucine ().

4. Discussion

It is known that the traditional Chinese medicine therapy was focused on the system function of the body. Therefore, there are many advantages in the treatment of metabolic diseases like diabetes. For the concern about the hypoglycemic effect, the majority of diabetic patients commonly choose a combination therapy of certain antidiabetic drugs and adjuvants such as traditional Chinese medicine, instead of taking antidiabetic drugs alone. The present study shows that PTIF have no significant effect in restoring the disordered blood glucose in DM rats. Thus, it suggests that the therapeutic effect of PTIF might be achieved without improvement of the hyperglycemia of high-fat diet and STZ-induced diabetic rats.

Studies have pointed out that the abnormal metabolic and hyperglycemia-induced oxidative stress leads to a substantial increase in superoxide production, which can activate the protein kinase C, polyol, and hexosamine pathway, thus increasing the conformation of the advanced glycation end products (AGEs) and the expression of the AGEs receptor [19]. Studies have shown that, among the oxidative stress markers, SOD values and lipid peroxidation products such as MDA were highly correlative in diabetic patients, possibly causing further damage to metabolic systems [26]. Some previous research suggests that the beneficial effect of PTIF might result from its intervention in superoxide production. In our research, an obvious decrease in the level of SOD₁ and a concomitant increase in the concentration of MDA and HIF-1α were observed in diabetic rats. This is in agreement with those reported earlier suggesting that the oxidative stress is one of the important events in diabetes. Further, after the administration of PTIF, the plasma levels of MDA, HIF-1α, and SOD₁ were restored, indicating the possible mechanism of PTIF on DM may be correlated with the inhibition of chronic oxidative damage.

Inflammation is a multicomponent response to tissue stress, injury, and infection, which is considered to be the foreground of the acute and chronic pathological conditions [27]. It is now increasingly appreciated that diabetes is a typical disease associated with such chronic inflammatory changes [28]. It is recognized that the low-term chronic inflammation increases insulin resistance leading to hyperglycemia [29]. Various studies have demonstrated that the levels of inflammatory cytokines, including ICAM-1, TNF-α, and IL-6, are increased in patients and in diabetic rats [30, 31]. In the present study, a significantly increased concentration of ICAM-1 and VEGF in the diabetic rats probably suggests that the inflammatory processes may contribute to the development of diabetes mellitus. However, we did not see obvious effect of PTIF on VEGF, ICAM-1, and NO, implying that the antidiabetic effect of PTIF may be unrelated to lowering inflammatory cytokines.

In this study, some lipid metabolism-related metabolites, including PC(21:0/0:0)[U], 2-hexylglycerol, 7-keto-n-caprylic acid, 7-oxoheptanoic acid, PC(22:0/12:0), PC(20:4(5Z,8Z,11Z,14Z)/18:1(11Z)), have been identified in diabetic rats, which indicate a dysregulation of lipid metabolites in diabetic rats. Metabolites of the phospholipids and fatty acid pathway are associated with diabetes. Phosphatidylcholines (PCs) products or metabolites are the important components of lipid bilayer of cells, as well as being involved in metabolism and signaling. Previous studies have shown that Radix Puerariae flavones can improve lipid metabolism in adipose tissue and liver in ovariectomized rats due to its estrogen-like effect [32]. Similar to previous studies, this study also shows that the administration of PTIF may contribute to improving the lipid metabolism in diabetic organism. An earlier study suggested that the peroxisome-proliferator activated receptors (PPAR), involved in lipid homeostasis and metabolism, were activated by isoflavones (genistein or daidzein) [33]. Thus, we can conclude that the improvement of PTIF on lipid metabolism may be due to these active ingredients.

As a purified form of vitamin K, phylloquinone was found to play an essential role in the coagulation process. It was widely used for the treatment of disease characterized by reduced levels of prothrombin. It has been shown that endothelial dysfunction, coagulative activation, and platelet hyperreactivity contribute to the hypercoagulable and prothrombotic state in diabetes mellitus, resulting from the interaction among hyperglycemia, insulin resistance, inflammation, and oxidative stress [34, 35]. Moreover, the high blood viscosity, tortuous microvessels, and large platelets induced by diabetes are an important factor in thrombosis in microvessels [36]. Compared with normal control group, the phylloquinone level was significantly increased in diabetic model. Moreover, the metabolomic results also illustrated that PTIF possess a therapeutic effect on DM through partially regulating the coagulopathy. Previous studies revealed that puerarin, as one of the major isoflavonoids compounds of Gegen, could efficiently lower the erythrocyte aggregation index, RBC aggregation, plasma viscosity, and blood yield stress in the acute blood-stasis model rats [37, 38].

Additionally, some potential biomarkers related to amino acid metabolism, including 5′-methylthioadenosine, Lys-Lys-Ser, Leu-Ser-Lys-Lys, and Gly-His-Arg-Gly, have been identified, which suggest an occurrence of amino acid metabolism disorder in diabetic rats. In addition to being an important energy source, amino acids (AAs), especially branched-chain amino acids, (BCAAs) are important intracellular signal molecules that regulate gene transcription and translation [39]. Adenine and yield 5-methylthioribose-1-phosphate are two main metabolites of 5′-methylthioadenosine (MTA). The metabolism of MTA plays a key role in the purine salvage and methionine pathways [40]. Moreover, it is also reported that increased human urinary MTA is associated with severe combined immunodeficiency syndrome [41]. In our research, compared with normal control group, the concentrations of these biomarkers were found to be significantly increased. However, the increase was significantly reversed by PTIF, which indicated PTIF could distinctly regulate the metabolism of amino acid in DM.

Furthermore, 17 kinds of free amino acid content in serum were measured in order to investigate the effect of PTIF on amino acid metabolism in diabetic rats. Recent studies suggest that higher level of branched-chain amino acid directly contributes to insulin resistance by decreasing the activity of AMP-activated protein kinase and eventually leads to type 2 diabetes [42, 43]. However, on the other hand, the activity of branched-chain alpha-keto acid dehydrogenase complex (BCKDC) is reduced markedly in diabetes rats [44], finally leading to the catabolism barriers and an increasing plasma level of BCAAs. Our results showed that the concentrations of the BCAAs (valine, leucine, and isoleucine), glutamate, arginine, and tyrosine were significantly increased, consistent with the previous reports [45]. The beneficial effects of PTIF on improved amino acid metabolism might be explained by its benefit effect on circulating insulin concentrations and insulin responsiveness by activating the signaling pathway of cAMP/PKA-dependent ERK1/2 [46, 47].

Glutamate was a central junction in both amino acid synthesis and degradation [48]. Studies have shown that in pancreatic β-cells glutamic acid oxidation and the glutamine-to-glutamate ratio are closely related to the insulin resistance [49]. Additionally, the glutamate level was found to be significantly increased in obese syndrome animals [50], which is similar to the results of our study. Our data also indicate that concentration of glutamate was significantly decreased with the oral administration of PTIF. Arginine is the precursor of nitric oxide (NO) and insulin can stimulate NO(x) synthesis from arginine [51]. Therefore, we can conclude that the increased level of arginine in this study may cause further damage on blood vessels and cell function.

5. Conclusion

In summary, a metabolomics method based on UPLC-Q-Exactive Orbitrap-MS has been established to investigate the metabonomic profiles of high-fat diet and STZ-induced diabetic rat. Eleven potential metabolite biomarkers in plasma were identified. The protective effect of PTIF has been reliably confirmed by intervening in lipid metabolism, amino acid metabolism, and coagulopathy. Moreover, we considered that oxidative stress and inflammatory reactions play a key role in diabetic rats. PTIF has great therapeutic potential in the treatment of diabetes mellitus by inhibition of oxidative damage.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgment

The work was supported by the program of State Administration of Traditional Chinese Medicine of China (JDZX2012132).

References

Z. Wang, J. Wang, and P. Chan, “Treating type 2 diabetes mellitus with traditional Chinese and Indian medicinal herbs,” Evidence-Based Complementary and Alternative Medicine, vol. 2013, Article ID 343594, 17 pages, 2013.
View at: Publisher Site | Google Scholar
M. L. McCullough, J. J. Peterson, R. Patel, P. F. Jacques, R. Shah, and J. T. Dwyer, “Flavonoid intake and cardiovascular disease mortality in a prospective cohort of US adults,” The American Journal of Clinical Nutrition, vol. 95, no. 2, pp. 454–464, 2012.
View at: Publisher Site | Google Scholar
P. V. A. Babu, D. Liu, and E. R. Gilbert, “Recent advances in understanding the anti-diabetic actions of dietary flavonoids,” Journal of Nutritional Biochemistry, vol. 24, no. 11, pp. 1777–1789, 2013.
View at: Publisher Site | Google Scholar
L. Ji, X. Tong, H. Wang et al., “Efficacy and safety of traditional Chinese medicine for diabetes: a double-blind, randomised, controlled trial,” PLoS ONE, vol. 8, no. 2, Article ID e56703, 2013.
View at: Publisher Site | Google Scholar
T. R. Chen, L. A. Chen, and Q. K. Wei, “Evaluation of quality of Radix Puerariae herbal medicine by isoflavonoids,” Journal of Pharmacy and Pharmacology, vol. 62, no. 5, pp. 644–650, 2010.
View at: Publisher Site | Google Scholar
L. Bebrevska, K. Foubert, N. Hermans et al., “In vivo antioxidative activity of a quantified Pueraria lobata root extract,” Journal of Ethnopharmacology, vol. 127, no. 1, pp. 112–117, 2010.
View at: Publisher Site | Google Scholar
F.-L. Xiong, X.-H. Sun, L. Gan, X.-L. Yang, and H.-B. Xu, “Puerarin protects rat pancreatic islets from damage by hydrogen peroxide,” European Journal of Pharmacology, vol. 529, no. 1–3, pp. 1–7, 2006.
View at: Publisher Site | Google Scholar
J. K. Prasain, N. Peng, R. Rajbhandari, and J. M. Wyss, “The Chinese Pueraria root extract (Pueraria lobata) ameliorates impaired glucose and lipid metabolism in obese mice,” Phytomedicine, vol. 20, no. 1, pp. 17–23, 2012.
View at: Publisher Site | Google Scholar
X. Wang, H. Sun, A. Zhang, W. Sun, P. Wang, and Z. Wang, “Potential role of metabolomics apporoaches in the area of traditional Chinese medicine: as pillars of the bridge between Chinese and Western medicine,” Journal of Pharmaceutical and Biomedical Analysis, vol. 55, no. 5, pp. 859–868, 2011.
View at: Publisher Site | Google Scholar
T. Wu, G. Xie, Y. Ni et al., “Serum metabolite signatures of type 2 diabetes mellitus complications,” Journal of Proteome Research, vol. 14, no. 1, pp. 447–456, 2015.
View at: Publisher Site | Google Scholar
J. Liu, C. Wang, F. Liu, Y. Lu, and J. Cheng, “Metabonomics revealed xanthine oxidase-induced oxidative stress and inflammation in the pathogenesis of diabetic nephropathy,” Analytical and Bioanalytical Chemistry, vol. 407, no. 9, pp. 2569–2579, 2015.
View at: Publisher Site | Google Scholar
Y. Zhu, W. Cong, L. Shen et al., “Fecal metabonomic study of a polysaccharide, MDG-1 from Ophiopogon japonicus on diabetic mice based on gas chromatography/time-of-flight mass spectrometry (GC TOF/MS),” Molecular BioSystems, vol. 10, no. 2, pp. 304–312, 2014.
View at: Publisher Site | Google Scholar
J. Niu, Z.-F. Pi, H. Yue et al., “Effect of 20(S)-ginsenoside Rg3 on streptozotocin-induced experimental type 2 diabetic rats: a urinary metabonomics study by rapid-resolution liquid chromatography/mass spectrometry,” Rapid Communications in Mass Spectrometry, vol. 26, no. 23, pp. 2683–2689, 2012.
View at: Publisher Site | Google Scholar
Y. Gu, Y. Zhang, X. Shi et al., “Effect of traditional Chinese medicine berberine on type 2 diabetes based on comprehensive metabonomics,” Talanta, vol. 81, no. 3, pp. 766–772, 2010.
View at: Publisher Site | Google Scholar
T. J. Wang, M. G. Larson, R. S. Vasan et al., “Metabolite profiles and the risk of developing diabetes,” Nature Medicine, vol. 17, no. 4, pp. 448–453, 2011.
View at: Publisher Site | Google Scholar
M. Magnusson, G. D. Lewis, U. Ericson et al., “A diabetes-predictive amino acid score and future cardiovascular disease,” European Heart Journal, vol. 34, no. 26, pp. 1982–1989, 2013.
View at: Publisher Site | Google Scholar
I. N. Mohamed, S. A. Soliman, A. Alhusban et al., “Diabetes exacerbates retinal oxidative stress, inflammation, and microvascular degeneration in spontaneously hypertensive rats,” Molecular Vision, vol. 18, pp. 1457–1466, 2012.
View at: Google Scholar
R. A. Floyd, “Antioxidants, oxidative stress, and degenerative neurological disorders,” Proceedings of the Society for Experimental Biology and Medicine, vol. 222, no. 3, pp. 236–245, 1999.
View at: Publisher Site | Google Scholar
F. Giacco and M. Brownlee, “Oxidative stress and diabetic complications,” Circulation Research, vol. 107, no. 9, pp. 1058–1070, 2010.
View at: Publisher Site | Google Scholar
A. M. Joussen, V. Poulaki, M. L. Le et al., “A central role for inflammation in the pathogenesis of diabetic retinopathy,” The FASEB Journal, vol. 18, no. 12, pp. 1450–1452, 2004.
View at: Publisher Site | Google Scholar
M. D. Williams and J. L. Nadler, “Inflammatory mechanisms of diabetic complications,” Current Diabetes Reports, vol. 7, no. 3, pp. 242–248, 2007.
View at: Publisher Site | Google Scholar
F. Araújo Sampaio, M. Monte Feitosa, C. Hermes Sales et al., “Influence of magnesium on biochemical parameters of iron and oxidative stress in patients with type 2 diabetes,” Nutricion Hospitalaria, vol. 30, no. 3, pp. 570–576, 2014.
View at: Publisher Site | Google Scholar
H. P. C. Artese, A. M. Foz, M. de Sousa Rabelo et al., “Periodontal therapy and systemic inflammation in type 2 diabetes mellitus: a meta-analysis,” PLoS ONE, vol. 10, no. 5, Article ID e0128344, 2015.
View at: Publisher Site | Google Scholar
N. Li, Q. Liu, X. J. Li et al., “TCM Formula Xiaoyaosan Decoction improves depressive-like behaviors in rats with type 2 diabetes,” Evidence-Based Complementary and Alternative Medicine, vol. 2015, Article ID 415243, 10 pages, 2015.
View at: Publisher Site | Google Scholar
Y. Lu, Y. Liu, H. Li, X. Wang, W. Wu, and L. Gao, “Effect and mechanisms of zinc supplementation in protecting against diabetic cardiomyopathy in a rat model of type 2 diabetes,” Bosnian Journal of Basic Medical Sciences, vol. 15, no. 1, pp. 14–20, 2015.
View at: Publisher Site | Google Scholar
V. Brzović-Šarić, I. Landeka, B. Šarić et al., “Levels of selected oxidative stress markers in the vitreous and serum of diabetic retinopathy patients,” Molecular Vision, vol. 21, pp. 649–664, 2015.
View at: Google Scholar
R. Medzhitov and T. Horng, “Transcriptional control of the inflammatory response,” Nature Reviews Immunology, vol. 9, no. 10, pp. 692–703, 2009.
View at: Publisher Site | Google Scholar
D. Okin and R. Medzhitov, “Evolution of inflammatory diseases,” Current Biology, vol. 22, no. 17, pp. R733–R740, 2012.
View at: Publisher Site | Google Scholar
N. Esser, S. Legrand-Poels, J. Piette, A. J. Scheen, and N. Paquot, “Inflammation as a link between obesity, metabolic syndrome and type 2 diabetes,” Diabetes Research and Clinical Practice, vol. 105, no. 2, pp. 141–150, 2014.
View at: Publisher Site | Google Scholar
M. Blüher, R. Unger, F. Rassoul, V. Richter, and R. Paschke, “Relation between glycaemic control, hyperinsulinaemia and plasma concentrations of soluble adhesion molecules in patients with impaired glucose tolerance or Type II diabetes,” Diabetologia, vol. 45, no. 2, pp. 210–216, 2002.
View at: Publisher Site | Google Scholar
M. S. Ellulu, A. Rahmat, P. Ismail, H. Khaza'ai, and Y. Abed, “Effect of vitamin C on inflammation and metabolic markers in hypertensive and/or diabetic obese adults: a randomized controlled trial,” Drug Design, Development and Therapy, vol. 9, pp. 3405–3412, 2015.
View at: Publisher Site | Google Scholar
J.-F. Wang, Y.-X. Guo, J.-Z. Niu, J. Liu, L.-Q. Wang, and P.-H. Li, “Effects of Radix Puerariae flavones on liver lipid metabolism in ovariectomized rats,” World Journal of Gastroenterology, vol. 10, no. 13, pp. 1967–1970, 2004.
View at: Publisher Site | Google Scholar
O. Mezei, W. J. Banz, R. W. Steger, M. R. Peluso, T. A. Winters, and N. Shay, “Soy isoflavones exert antidiabetic and hypolipidemic effects through the PPAR pathways in obese Zucker rats and murine RAW 264.7 cells,” Journal of Nutrition, vol. 133, no. 5, pp. 1238–1243, 2003.
View at: Google Scholar
N. Mishra and N. Singh, “Blood viscosity, lipid profile, and lipid peroxidation in type-1 diabetic patients with good and poor glycemic control,” North American Journal of Medical Sciences, vol. 5, no. 9, pp. 562–566, 2013.
View at: Publisher Site | Google Scholar
N. Vazzana, P. Ranalli, C. Cuccurullo, and G. Davì, “Diabetes mellitus and thrombosis,” Thrombosis Research, vol. 129, no. 3, pp. 371–377, 2012.
View at: Publisher Site | Google Scholar
J. K. W. Chesnutt and H.-C. Han, “Platelet size and density affect shear-induced thrombus formation in tortuous arterioles,” Physical Biology, vol. 10, no. 5, Article ID 056003, 2013.
View at: Publisher Site | Google Scholar
Z. J. Zou, Z. H. Liu, M. J. Gong, B. Han, S. M. Wang, and S. W. Liang, “Intervention effects of puerarin on blood stasis in rats revealed by a 1H NMR-based metabonomic approach,” Phytomedicine, vol. 22, no. 3, pp. 333–343, 2015.
View at: Publisher Site | Google Scholar
H.-P. Pan, J.-Z. Yang, L.-L. Li, F. Yi, Z.-Q. Huang, and K.-W. Huang, “Experimental study of puerarin injection on the hemorheology in acute blood-stasis model rats,” Zhongguo Zhong Yao Za Zhi, vol. 28, no. 12, pp. 1178–1180, 2003.
View at: Google Scholar
K. S. Nair and K. R. Short, “Hormonal and signaling role of branched-chain amino acids,” Journal of Nutrition, vol. 135, supplement 6, pp. 1547S–1552S, 2005.
View at: Google Scholar
M. A. Avila, E. R. García-Trevijano, S. C. Lu, F. J. Corrales, and J. M. Mato, “Methylthioadenosine,” International Journal of Biochemistry & Cell Biology, vol. 36, no. 11, pp. 2125–2130, 2004.
View at: Publisher Site | Google Scholar
G. C. Mills and J. S. Mills, “Urinary excretion of methylthioadenosine in immunodeficient children,” Clinica Chimica Acta, vol. 147, no. 1, pp. 15–23, 1985.
View at: Publisher Site | Google Scholar
C. B. Newgard, J. An, J. R. Bain et al., “A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance,” Cell Metabolism, vol. 9, no. 4, pp. 311–326, 2009.
View at: Publisher Site | Google Scholar
A. K. Saha, X. J. Xu, E. Lawson et al., “Downregulation of AMPK accompanies leucine- and glucose-induced increases in protein synthesis and insulin resistance in rat skeletal muscle,” Diabetes, vol. 59, no. 10, pp. 2426–2434, 2010.
View at: Publisher Site | Google Scholar
G. Bajotto, T. Murakami, M. Nagasaki, Y. Sato, and Y. Shimomura, “Decreased enzyme activity and contents of hepatic branched-chain α-keto acid dehydrogenase complex subunits in a rat model for type 2 diabetes mellitus,” Metabolism: Clinical and Experimental, vol. 58, no. 10, pp. 1489–1495, 2009.
View at: Publisher Site | Google Scholar
I. R. Lanza, S. Zhang, L. E. Ward, H. Karakelides, D. Raftery, and K. Sreekumaran Nair, “Quantitative metabolomics by 1H-NMR and LC-MS/MS confirms altered metabolic pathways in diabetes,” PLoS ONE, vol. 5, no. 5, Article ID e10538, 2010.
View at: Publisher Site | Google Scholar
J. K. Prasain, N. Peng, R. Rajbhandari, and J. Michael Wyss, “The Chinese Pueraria root extract (Pueraria lobata) ameliorates impaired glucose and lipid metabolism in obese mice,” Phytomedicine, vol. 20, no. 1, pp. 17–23, 2012.
View at: Publisher Site | Google Scholar
Z. Fu, W. Zhang, W. Zhen et al., “Genistein induces pancreatic β-cell proliferation through activation of multiple signaling pathways and prevents insulin-deficient diabetes in mice,” Endocrinology, vol. 151, no. 7, pp. 3026–3037, 2010.
View at: Publisher Site | Google Scholar
A. Kelly and C. A. Stanley, “Disorders of glutamate metabolism,” Mental Retardation and Developmental Disabilities Research Reviews, vol. 7, no. 4, pp. 287–295, 2001.
View at: Publisher Site | Google Scholar
S. Cheng, E. P. Rhee, M. G. Larson et al., “Metabolite profiling identifies pathways associated with metabolic risk in humans,” Circulation, vol. 125, no. 18, pp. 2222–2231, 2012.
View at: Publisher Site | Google Scholar
M. Hidiroglou and D. M. Veira, “Plasma amino acid levels in the fat cow syndrome,” Annales de Recherches Veterinaires, vol. 13, no. 1, pp. 111–115, 1982.
View at: Google Scholar
P. Tessari, A. Coracina, L. Puricelli et al., “Acute effect of insulin on nitric oxide synthesis in humans: a precursor-product isotopic study,” The American Journal of Physiology—Endocrinology and Metabolism, vol. 293, no. 3, pp. E776–E782, 2007.
View at: Publisher Site | Google Scholar

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Copyright © 2016 Yan Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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