A Pharmaco-Metabonomic Study on Chronic Kidney Disease and Therapeutic Effect of Ergone by UPLC-QTOF/HDMS

Chronic kidney disease (CKD) is an important public health problem. Ergone has been proved to prevent the progression of CKD. UPLC-QTOF/HDMS was employed for metabolic profiling of adenine-induced CKD and to investigate the nephroprotective effects of ergone. Pharmacology parameters including blood biochemistry, histopathological evaluation and Western blot analysis were performed concurrently. The UPLC-MS data were analyzed by partial least squares-discriminate analysis, correlation analysis, heatmap analysis and mapped to KEGG pathways. Blood and serum biochemistry were observed to be significantly different in the CKD group than in the control group. In conjunction with biochemistry, histopathology and protein expression results, identified metabolites indicated perturbations in fatty acid metabolism, purine metabolism and amino acid metabolism as changes associated with adenine-induced CKD and the interventions of ergone. Upregulated expression of TGF-β1, ED-1, CTGF, bFGF and collagen I was observed in the CKD group. However, downregulated expression of these proteins was observed after oral administration of ergone. These results suggest that expression changes in these proteins had implications for fatty acid metabolism, purine metabolism and amino acid metabolism in the development of CKD and that ergone treatment could delay the development of CKD by normalizing or blocking abnormal changes in biomarker metabolites and protein expression in the CKD group.     

Application of faecal metabonomics on an experimental model of tubulointerstitial fibrosis by ultra performance liquid chromatography/high-sensitivity mass spectrometry with MSE data collection technique

Chronic renal failure (CRF) is a major challenge for the public healthcare problem. A novel UPLC Q-TOF/MS method with MS^E data collection mode was developed as a very effective biochemical analytical tool for precise identification of important biomarkers in the adenine-induced CRF rats. Nine endogenous metabolites were identified by using metabonomic method combined with multivariate data analysis, the accurate mass, isotopic pattern, MS^E fragments information and MassLynx i-FIT algorithm. The identified metabolites indicated the perturbations of bile acid and phospholipid metabolism are related to CRF rats. This work shows that metabonomics method is a valuable tool in CRF mechanism study.     

Metabonomic study on the biochemical profiles of a hydrocortisone-induced animal model

This work describes the metabonomic study of a biochemical modification in vivo induced by high dose of hydrocortisone, which led to a unique pathologic condition similar to the 'kidney deficiency syndromes', an early stage of obesity and diabetes in traditional Chinese medicine. The methodology of the metabonomic approach consisted of GC/MS and multivariate statistical technique for the establishment of urine metabolic patterns of the treatment rats. In the study, 24-h urine was collected pre-dose and at days 1, 3, 7, and 10 post-dose after rats were injected with hydrocortisone at 1.5 mg/100 g. The acquired data were transferred into Matlab to be processed using principal components analysis (PCA). The results indicated that clear and consistent biochemical changes following hydrocortisone intervention under controlled conditions could be identified using chemometric analysis. The work suggests that this metabonomic approach could be used as a potentially powerful tool to investigate the biochemical changes of certain physiopathologic conditions such as metabolic syndrome, as an early diagnostic means.     

Hydrophilic interaction and reversed-phase ultraperformance liquid chromatography TOF-MS for serum metabonomic analysis of myocardial infarction in rats and its applications

An ultra performance liquid chromatography coupled to mass spectrometry-based metabonomic approach, which utilizes both reversed-performance (RP) chromatography and hydrophilic interaction chromatography (HILIC) separations, has been developed to characterize the global serum metabolic profile associated with myocardial infarction (MI). The HILIC was found necessary for a comprehensive serum metabonomic profiling, providing complementary information to RP chromatography. By combining with partial least squares discriminant analysis, 21 potential biomarkers in rat serum were identified. To further elucidate the pathophysiology of MI, related metabolic pathways have been studied. It was found that MI was closely related to disturbed sphingolipid metabolism, phospholipid catabolism, fatty acid transportation and metabolism, tryptophan metabolism, branched-chain amino acids metabolism, phenylalanine metabolism, and arginine and proline metabolism. With the presented metabonomic method, we systematically analyzed the therapeutic effects of Traditional Chinese Medicine Sini decoction (SND). The results demonstrated that SND administration could provide satisfactory effects on MI through partially regulating the perturbed metabolic pathways.     

Serum metabonomics study of adenine-induced chronic renal failure in rats by ultra performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry

An ultra performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC Q-TOF MS) metabonomics approach was employed to study the serum metabolic profiling of adenine-induced chronic renal failure (CRF) rats. Acquired data were subjected to principal component analysis (PCA) for differentiating the CRF and the normal control groups. Potential biomarkers were screened by using S-plot and were identified by the accurate mass, isotopic pattern and MS/MS fragments information obtained from UPLC Q-TOF MS analysis. Significant differences in the serum level of creatinine, amino acids and LysoPCs were observed, indicating the perturbations of amino acid metabolism and phospholipid metabolism in adenine-induced CRF rats. This research proved that metabonomics is a promising tool for disease research.     

Serum metabolic profiling of abnormal savda by liquid chromatography/mass spectrometry

Abnormal savda is a special symptom in Uigur medicine. The understanding of its metabolic origins is of great importance for the subsequent treatment. Here, a metabonomic study of this symptom was carried out using LC-MS based human serum metabolic profiling. Orthogonal signal correction partial least-squares discriminant analysis (OSC-PLS-DA) was used for the classification and prediction of abnormal savda. Potential biomarkers from metabonomics were also identified for a metabolic understanding of abnormal savda. As a result, our OSC-PLS-DA model had a satisfactory ability for separation and prediction of abnormal savda. The potential biomarkers including bilirubin, bile acids, tryptophan, phenylalanine and lyso-phosphatidylcholines indicated that abnormal savda could be related to some abnormal metabolisms within the body, including energy metabolism, absorption of nutrition, metabolism of lecithin on cell membrane, etc. To the best of our knowledge, this is the first study of abnormal savda based on serum metabolic profiling. The LC/MS-based metabonomic platform could be a powerful tool for the classification of symptoms and for the development of this traditional medicine into an evidence-based one.     

A metabonomic investigation on the biochemical perturbation in liver failure patients caused by hepatitis B virus

A metabonomic study was performed to investigate the biochemical perturbation of the serum samples from liver failure patients induced by hepatitis B virus (HBV; n=24) and control normal subjects (n=23). The serum metabonome was detected using gas chromatography-mass spectrometry (GC-MS) technique integrated with a commercial mass spectral library for the peak identification. After peak deconvolution, identification, and matching, the acquired GC-MS data were normalized and processed by principal component analysis (PCA) and canonical discriminant analysis (CDA). Specific changes in the metabolic composition of serum samples from patients including amino acids (AAs) and glucose were shown in GC-MS total ion current (TIC) chromatograms. The distinctive biochemical difference between the healthy subjects and liver failure patients was displayed by the pattern recognition methods. We also found that the liver failure patients with different degree of severity categorized as MELD (model for end-stage of liver diseases) could be clearly classified by the corresponding metabonomic data. In comparison, the current routine clinical indices cannot characterize the global phenotyping of liver failure. The result demonstrated that the GC-MS technique is an alternative tool for the characterization of the metabolic perturbation and the metabonomic study promises to provide an integrative criterion to evaluate the severity and the prognosis of liver diseases.     

Dynamic metabolic transformation in tumor invasion and metastasis in mice with LM-8 osteosarcoma cell transplantation

While extensive evidence indicates that tumor cells shift their global metabolic programs, the molecular details of the metabolic transformation in tumor invasion, progression, and metastasis remain largely unknown. Characterization of the time-dependent metabolic shift during the tumor invasion, development, and metastasis will describe an important aspect of tumor phenotypes and potentially allow us to design therapies that inhibit tumor cell movement. In this study, a metabonomic study was performed to characterize the global metabolic changes during the process of tumor invasion and metastasis to lung in a mouse model with subcutaneous transplantation of murine osteosarcoma cell line (LM8). The serum metabolic profiling revealed that many key metabolites in glycolysis and tricarboxylic acid (TCA) cycle, as well as most of the amino acids were elevated at rapidly growing stage of tumor, presumably resulting from a high energy demand and turnover of anabolic metabolism during the tumor cell proliferation. Serum levels of succinic acid and proline significantly increased (with fold change FC = 10.75 and 4.43, relative to controls) among all the metabolites in the third week. The serum metabolic profile of lung metastasis at week 4 was different from that at week 3, in that most of previously increased serum metabolites were found decreased, except for cholesterol and several free fatty acids, suggesting lowered carbohydrate and amino acids metabolism, but an elevated lipid metabolism associated with tumor metastasis.     

Application of biofluid 1H nuclear magnetic resonance-based metabonomic techniques for the analysis of the biochemical effects of dietary isoflavones on human plasma profile

This study describes the first metabonomic approach to determining biochemical modifications following dietary intervention in humans. Significant interest in the mechanisms of action of soy isoflavones has predominantly stemmed from in vitro experiments but to date the availability of analytical tools for studying the mechanisms of action in vivo have been limited. Here a metabonomic approach based on chemometric analysis of 1H nuclear magnetic resonance spectra of blood plasma has been used to investigate metabolic changes following dietary intervention with soy isoflavones in healthy premenopausal women under controlled environmental conditions. Clear differences in the plasma lipoprotein, amino acid, and carbohydrate profiles were observed following soy intervention, suggesting a soy-induced alteration in energy metabolism.     

High salt diet induces metabolic alterations in multiple biological processes of Dahl salt-sensitive rats

High salt induced renal disease is a condition resulting from the interactions of genetic and dietary factors causing multiple complications. To understand the metabolic alterations associated with renal disease, we comprehensively analyzed the metabonomic changes induced by high salt intake in Dahl salt-sensitive (SS) rats using GC-MS technology and biochemical analyses. Physiological features, serum chemistry, and histopathological data were obtained as complementary information. Our results showed that high salt (HS) intake for 16 weeks caused significant metabolic alterations in both the renal medulla and cortex involving a variety pathways involved in the metabolism of organic acids, amino acids, fatty acids, and purines. In addition, HS enhanced glycolysis (hexokinase, phosphofructokinase and pyruvate kinase) and amino acid metabolism and suppressed the TCA (citrate synthase and aconitase) cycle. Finally, HS intake caused up-regulation of the pentose phosphate pathway (glucose 6-phosphate dehydrogenase and 6-phosphogluconate dehydrogenase), the ratio of NADPH/NADP⁺, NADPH oxidase activity and ROS production, suggesting that increased oxidative stress was associated with an altered PPP pathway. The metabolic pathways identified may serve as potential targets for the treatment of renal damage. Our findings provide comprehensive biochemical details about the metabolic responses to a high salt diet, which may contribute to the understanding of renal disease and salt-induced hypertension in SS rats.     

Metabonomics study of the acute graft rejection in rat renal transplantation using reversed-phase liquid chromatography and hydrophilic interaction chromatography coupled with mass spectrometry

Acute graft rejection is one of the most common and serious post complications in renal transplantation, noninvasive diagnosis of acute graft rejection is essential for reducing risk of surgery and timely treatment. In this study, a non-targeted metabonomics approach based on ultra performance liquid chromatography (UPLC) coupled with quadrupole time-of-flight mass spectrometry (MS) is used to investigate the effect of acute graft rejection in rat renal transplantation on metabolism. To collect more metabolite information both hydrophilic interaction chromatography and reversed-phase liquid chromatography were used. Using the partial least squares-discriminant analysis, we found that the change of metabonome in a sham-operated group and a non-graft rejection group had a similar trend, while that of the acute graft rejection group was clearly different. Several discriminating metabolites of the acute graft rejection were identified, including creatinine, phosphatidyl-cholines, lyso-phosphatidylcholines, carnitine C16:0, free fatty acids and indoxyl sulfate etc. These discriminating metabolites suggested that acute graft rejection in renal transplantation can lead to the accumulation of creatinine in the body, and also the abnormal metabolism of phospholipids. These findings are useful to understand the mechanisms of the rejection, it also means that a UPLC-MS metabonomic approach is a suitable tool to investigate the metabolic abnormality in the acute graft rejection in renal transplantation.     

Method for liver tissue metabolic profiling study and its application in type 2 diabetic rats based on ultra performance liquid chromatography-mass spectrometry

A protocol for the metabolic profiling of rat liver was developed based on ultra-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) to explore metabolic state directly. Methanol/water (4:1, v:v) was selected as the optimal extraction solvent. The established method was validated with a linearity over the 10-5000 ng/mL for internal standards (IS) and got an average correlation coefficient of 0.9986. The intra-day and inter-day RSD for most endogenous compounds were below 15%. And the absolute recovery of IS was from 84.8% to 109.1%. Liver tissues from diabetic and control rats were enrolled in the subsequent study to show the usefulness of the method. A clear classification between the control and model animals was achieved, some significant metabolites were successfully filtered. These metabolites reflected the abnormal metabolism of diabetic rats. This initial application indicated that the method is suitable and reliable for liver tissue metabolic profiling. It is expected this protocol could also be extended to metabonomic studies of other tissues.     

Serum metabolic profiling and features of papillary thyroid carcinoma and nodular goiter

Thyroid carcinoma is a common endocrine malignancy worldwide, accounting for approximately 1% of all diagnosed cancers and about 91.5% of the malignancies of head and neck. However, differentiating malignant thyroid nodules from benign ones remains a diagnostic challenge. Thus, novel molecular markers that enable non-invasive diagnostics for malignant thyroid nodules are urgently needed. In the present study, a metabonomic investigation based on liquid chromatography-LTQ Orbitrap mass spectrometry was employed for serum metabolic profiling of 30 cases of papillary thyroid carcinomas (PTC), 80 cases of nodular goiters (benign thyroid nodules) and 30 cases of healthy controls. According to the results of multivariate statistical data analysis, the significantly changed metabolites among these three groups were defined. It was found that most of these metabolites decreased in the sera of both malignant and benign thyroid cases due to the increased metabolic rate, which is in accordance with clinical features. The major metabolic differences between benign and malignant nodules occurred in lipid metabolism. Especially, the content of 3-hydroxybutyric acid, an intermediate product of fatty acid metabolism, was much higher in the PTC group than that in the nodule goiter and control groups, indicating its potential as a diagnostic marker for PTC and nodular goiters. These results show that the serum metabolic profiling method is a powerful tool for distinguishing thyroid carcinoma from nodular goiter and healthy controls.     

GC/MS analysis of the rat urine for metabonomic research

In this paper, an optimized protocol was established and validated for the metabonomic profiling in rat urine using GC/MS. The urine samples were extracted by methanol after treatment with urease to remove excessive urea, then the resulted supernatant was dried, methoximated, trimethylsilylated, and analyzed by GC/MS. Forty-nine endogenous metabolites were separated and identified in GC/MS chromatogram, of which 26 identified compounds were selected for quantitative analysis to evaluate the linearity, precision, and sensitivity of the method. It showed good linearity between mass spectrometry responses and relative concentrations of the 26 endogenous compounds over the range from 0.063 to 1.000 (v/v, urine/urine+water) and satisfactory reproducibility with intra-day and inter-days precision values all below 15%. The metabonomic profiling method based on GC/MS was successfully applied to urine samples from hyperlipidemia model rats. Obviously, separated clustering of model rats and the control rats were shown by principal components analysis (PCA); time-dependent metabonomic modification was detected as well. It was suggested that metabonomic profiling based on GC/MS be a robust method for urine samples.     

Metabonomic study of Chinese medicine Shuanglong formula as an effective treatment for myocardial infarction in rats

A UPLC/TOF-MS-based metabonomic study was conducted to assess the holistic efficacy of Traditional Chinese Medicine Shuanglong Formula (SLF) for myocardial infarction in rats. Thirty male Sprague-Dawley rats were randomly divided into five groups after surgery. The Panax ginseng group, Salvia miltiorrhiza group, and SLF group were treated with water extractions of Panax ginseng (PG), Salvia miltiorrhiza (SM), and SLF (the ratio of SM to PG was 3:7) at a dose of 5 g/kg·w·d for 21 consecutive days, respectively; the model group and sham surgery group were both treated with 0.9% saline solution. Urinary samples for metabonomic study, serum samples for biochemical measurement, and heart samples for histopathology were collected. As a result, metabonomics-based findings such as the PCA and PLS-DA plotting of metabolic state and analysis of potential biomarkers in urine correlated well to the assessment of serum biochemistry and histopathological assay, confirming that SLF exerted synergistic therapeutic efficacies to exhibit better effect on MI compared to PG or SM. The shifts in urinary TCA cycle as well as pentose phosphate pathway suggested that SLF may diminish cardiac injury of MI with its potential pharmacological effect in the regulation of myocardial energy metabolism.     

Metabolic profiling reveals the protective effect of diammonium glycyrrhizinate on acute hepatic injury induced by carbon tetrachloride

Diammonium glycyrrhizinate (DG), a constitutent of Glycyrrhiza uralensis, has a protective effect on hepatic injury, hepatisis and cirrhosis. To date, the mechanism has been poorly understood, especially at the metabolic level. A metabolomic profiling study was performed to characterize the carbon tetrachloride (CCl₄) induced global metabolic alteration and the protective effects of DG in Sprague-Dawley rats. Urinary and hepatic tissue metabolic profiling revealed that CCl₄ perturbed the amino acid metabolism (alanine, glycine, leucine), tricarboxylic acid cycle (citrate), lipid metabolism (unsaturated fatty acids) and gut microbiota related metabolites. Our results also indicated that DG was able to attenuate CCl₄ perturbed metabolic pathways and ameliorated biochemical markers of alanine aminotransferase (ALT), aspartate aminotransferase (AST), and Total cholesterol (TCHO). This global metabolomic approach also revealed full metabolic recovery takes longer than apparent and conventional histological and biochemical markers.     

Distinct urinary metabolic profile of human colorectal cancer

A full spectrum of metabolic aberrations that are directly linked to colorectal cancer (CRC) at early curable stages is critical for developing and deploying molecular diagnostic and therapeutic approaches that will significantly improve patient survival. We have recently reported a urinary metabonomic profiling study on CRC subjects (n = 60) and health controls (n = 63), in which a panel of urinary metabolite markers was identified. Here, we report a second urinary metabonomic study on a larger cohort of CRC (n = 101) and healthy subjects (n = 103), using gas chromatography time-of-flight mass spectrometry and ultra performance liquid chromatography quadrupole time-of-flight mass spectrometry. Consistent with our previous findings, we observed a number of dysregulated metabolic pathways, such as glycolysis, TCA cycle, urea cycle, pyrimidine metabolism, tryptophan metabolism, polyamine metabolism, as well as gut microbial-host co-metabolism in CRC subjects. Our findings confirm distinct urinary metabolic footprints of CRC patients characterized by altered levels of metabolites derived from gut microbial-host co-metabolism. A panel of metabolite markers composed of citrate, hippurate, p-cresol, 2-aminobutyrate, myristate, putrescine, and kynurenate was selected, which was able to discriminate CRC subjects from their healthy counterparts. A receiver operating characteristic curve (ROC) analysis of these markers resulted in an area under the receiver operating characteristic curve (AUC) of 0.993 and 0.998 for the training set and the testing set, respectively. These potential metabolite markers provide a novel and promising molecular diagnostic approach for the early detection of CRC.     

Chronic myeloid leukemia patients sensitive and resistant to imatinib treatment show different metabolic responses

The BCR-ABL tyrosine kinase inhibitor imatinib is highly effective for chronic myeloid leukemia (CML). However, some patients gradually develop resistance to imatinib, resulting in therapeutic failure. Metabonomic and genomic profiling of patients' responses to drug interventions can provide novel information about the in vivo metabolism of low-molecular-weight compounds and extend our insight into the mechanism of drug resistance. Based on a multi-platform of high-throughput metabonomics, SNP array analysis, karyotype and mutation, the metabolic phenotypes and genomic polymorphisms of CML patients and their diverse responses to imatinib were characterized. The untreated CML patients (UCML) showed different metabolic patterns from those of healthy controls, and the discriminatory metabolites suggested the perturbed metabolism of the urea cycle, tricarboxylic acid cycle, lipid metabolism, and amino acid turnover in UCML. After imatinib treatment, patients sensitive to imatinib (SCML) and patients resistant to imatinib (RCML) had similar metabolic phenotypes to those of healthy controls and UCML, respectively. SCML showed a significant metabolic response to imatinib, with marked restoration of the perturbed metabolism. Most of the metabolites characterizing CML were adjusted to normal levels, including the intermediates of the urea cycle and tricarboxylic acid cycle (TCA). In contrast, neither cytogenetic nor metabonomic analysis indicated any positive response to imatinib in RCML. We report for the first time the associated genetic and metabonomic responses of CML patients to imatinib and show that the perturbed in vivo metabolism of UCML is independent of imatinib treatment in resistant patients. Thus, metabonomics can potentially characterize patients' sensitivity or resistance to drug intervention.     

Time-Dependent Lactate Production and Amino Acid Utilization in Cultured Astrocytes Under High Glucose Exposure

Accumulating investigations have focused on the severity of central nervous system (CNS) complications in diabetic patients. The effects of the high glucose (HG) probably attribute to the metabolic disturbances in CNS. Astrocytes, with powerful ability of metabolic regulation, play crucial roles in physiological and pathological processes in CNS. Hence, an in-depth analysis as to metabolic alterations of astrocytes exposure to HG would facilitate to explore the underlying pathogenesis. In this study, the ¹H NMR-based metabonomic approach was performed to characterize the metabolic variations of intracellular metabolites and corresponding culture media in a time-dependent manner. Our results revealed a significant elevation in lactate production and release. Four amino acids, leucine, isoleucine, methionine and tyrosine, were the most important metabolites for utilization. Also, profound disturbances of several metabolic pathways, including osmoregulation, energy metabolism, and cellular biosynthesis were observed. In that sense, the detailed information of astrocyte metabolism under HG exposure provides us a comprehensive understanding of the intrinsic metabolic disorders in CNS during hyperglycemia or diabetes.