Metabolic profiling analysis of a D-galactosamine/lipopolysaccharide-induced mouse model of fulminant hepatic failure

The purpose of this study was to characterize the changes in metabolic intermediates and to investigate the metabolic profile of a mouse model of fulminant hepatic failure (FHF), induced by D-galactosamine/lipopolysaccharide (GalN/LPS). Plasma metabolite levels were detected using gas chromatography/time-of-flight mass spectrometry, and the acquired data were transferred into Simca-P and processed using principal components analysis (PCA). In total, 45 metabolites were identified from the 267 distinct compounds found in the study. Whereas significant differences were noted in the plasma levels of the control and FHF groups, no differences in gluconeogenesis or glycolysis were noted following GalN/LPS treatment. Our data also suggest that the production of ketone bodies, and the tricarboxylic acid and urea cycles, was inhibited. PCA data suggest that 5-hydroxyindoleacetic acid, glucose, beta-hydroxybutyrate, and phosphate parameters had the highest weights on each of the principal components, and that they were the most important metabolites contributing to the separation of groups. In conclusion, this metabonomic approach can be used as a powerful tool to characterize changes in metabolic intermediates and to search for metabolic markers under certain pathophysiological conditions, such as FHF. Our data also demonstrate that a combination of 5-hydroxyindoleacetic acid, glucose, beta-hydroxybutyrate, and phosphate concentrations in the plasma is a potential marker for FHF, as well as for the early prognosis of FHF.     

基于1H-NMR技术的肝癌尿液样品代谢组学研究

目的:探索区分健康对照组与肝癌患者的潜在标志代谢物。方法:运用SIMAC 13.0软件对对数据进行多元分析方法 PCA、PLS及OPLS的方法分析。结果:应用SPSS 21.0统计软件对其数据进行ROC曲线分析,发现肝癌患者在α-葡萄糖、β-葡萄糖和肌酸酐的代谢路径上都发生了一定的异常变化。这3个代谢物拟合综合变量的ROC曲线的AUC值为0.972(灵敏度为90.6%,特异性为92.9%),说明此代谢标记物组具有较高的诊断准确度。结论:α-葡萄糖、β-葡萄糖和肌酸酐可以作为区分健康对照人群与肝癌患者的潜在标志代谢物。     

Comparative Proteomic Analyses of the Liver in D‐Galactosamine‐Sensitized Mice Treated with Different Toll‐Like Receptor Agonists

Acute liver failure (ALF) is a severe consequence of abrupt hepatocyte injury and has lethal outcomes. Three toll‐like receptor agonists, including polyinosinic‐polycytidylic acid (poly(I:C)), lipopolysaccharide (LPS), and cytosine‐phosphate‐guanine (CpG) DNA, cause acute and severe hepatitis, respectively, in D‐galactosamine (D‐GalN)‐sensitized mice. However, the molecular differences among three ALF models (LPS/D‐GalN, poly(I:C)/D‐GalN, and CpG DNA/D‐GalN), are unclear. Here, tandem mass tag based quantitative proteomic analyses of three ALF mouse models are performed. 52 common differentially expressed proteins (DEPs) are identified, in three ALF groups, compared to the control. Gene ontology analyses show that among the common DEPs, ten proteins are involved in immune system process, and 39 proteins in metabolic process. Among 80,195, and 23 specifically‐expressed proteins in poly(I:C)/D‐GalN, LPS/D‐GalN, and CpG DNA/D‐GalN groups, LPS/D‐GalN‐specific proteins are mostly distributed in the endoplasmic reticulum and more enriched in metabolic pathways, whereas poly (I:C)/D‐GalN‐specific proteins are mainly in the membrane and CpG DNA/D‐GalN‐specific proteins are related to the ribosome structural composition. In conclusion, the common and specific DEPs in three ALF mouse models at molecular level are identified; and determined a close‐to‐complete reference map of mouse liver proteins which will be useful for clinical diagnosis and treatment of liver failure in humans.     

The role of complement activation in tumour necrosis factor-induced lethal hepatitis.

Injection of tumour necrosis factor (TNF) in animals causes severe liver cell toxicity, especially when D-(+)-galactosamine (GalN) is co-administered. After challenge with TNF/GalN, serum complement activity (CH50 and APCH50) decreased dramatically, suggesting strong activation of both the classical and the alternative pathways. TNF or GalN alone had no such effect. A cleavage product of complement protein C3 [C3(b)] was deposited on the surface of hepatocytes of TNF/GalN-treated mice. Intravenous administration of cobra venom factor (CVF), which depletes complement, inhibited the development of hepatitis. However, CVF pretreatment also protected C3-deficient mice. Pretreatment of mice with a C1q-depleting antibody did not prevent TNF/GalN lethality, although the anti-C1q antibody had depleted plasma C1q. Factor B-deficient and C3-deficient mice, generated by gene targeting, proved to be as sensitive to TNF/GalN as control mice. Furthermore, induction of lethal shock by platelet-activating factor, an important mediator in TNF-induced hepatic failure, was not reduced in C3-deficient mice. These data indicate that complement, although activated, plays no major role in the generation of acute lethal hepatic failure in this model and that CVF-induced protection is independent of complement depletion.     

Identification of novel molecular candidates for acute liver failure in plasma of BALB/c murine model

In an effort to identify proteins involved in the disease process of acute liver failure (ALF), we investigated changes in the plasma proteome associated with d-galactosamine/lipopolysaccharide (GalN/LPS) treatment of BALB/c mice. The plasma samples from mice with ALF and control were screened for potential differences using two-dimensional electrophoresis followed by liquid chromatography-electrospray ionization-tandem mass spectrometry or matrix associated laser desorption ionization-time-of-flight mass spectrometry. The expression levels of candidate protein named phosphatidylethanolamine binding protein (PEBP) in plasma and liver, brain tissues were confirmed by western blot and RT-PCR analyses. Results were confirmed in plasma samples of human beings. Seven proteins existed in plasma of GalN/LPS-treatment animals only but not in controls. They included PEBP, regucalcin, Cu/Zn superoxide dismutase, glyoxalase 1, malate dehydrogenase, proteasome subunit alpha type 1, and HPMS haptoglobin precursor. Two proteins, proteasome subunit alpha type 5 and apolipoprotein A-I precursor, were up-regulated by GalN/LPS, and one protein, HPMS haptoglobin precursor, was down-regulated by this treatment. Western blot analysis confirmed the results that PEBP protein levels increased significantly in plasma and liver tissues only in ALF mice, but not in surviving mice treated with GalN/LPS. Further analysis revealed that GalN/LPS also induced up-regulation of PEBP mRNA levels in liver tissues. Importantly, plasma obtained from ALF patients, but not from healthy volunteers or from hepatitis patients, also contained detectable levels of PEBP. The present study show that PEBP may be a potential plasma biomarker for ALF diagnosis and participate in the pathphysiological process of ALF.     

Preventive effects of dietary boysenberry anthocyanins on galactosamine-induced liver injury in rats

The preventive effects of the major boysenberry anthocyanins (BoAnt) on liver injury, were determined in rats with liver injury induced by galactosamine (GalN). Increases in plasma AST and ALT activities, which were all induced by the injection of GalN, were relieved by the ingestion of BoAnt, suggesting that BoAnt is a food component available to prevent liver injury.     

Statistical integration of 1H NMR and MRS data from different biofluids and tissues enhances recovery of biological information from individuals with HIV-1 infection

Nuclear magnetic resonance (NMR) spectroscopy is widely used in metabonomics studies, but optimal recovery of latent biological information requires increasingly sophisticated statistical methods to identify quantitative relationships within these often highly complex data sets. Statistical heterospectroscopy (SHY) extracts latent relationships between NMR and mass spectrometry (MS) data from the same samples. Here we extend this concept to identify novel metabolic correlations between different biofluids and tissues from the same individuals. We acquired NMR data from blood plasma and cerebrospinal fluid (CSF) (N = 19) from HIV-1-infected individuals, who are known to be susceptible to neuropsychological dysfunction. We compared two computational approaches to SHY, namely the Pearson's product moment correlation and the Spearman's rank correlation. High correlations were observed for glutamine, valine, and polyethylene glycol, a drug delivery vehicle. Orthogonal projections to latent structures (OPLS) identified metabolites in blood plasma spectra that predicted the amounts of key CSF metabolites such as lactate, glutamine, and myo-inositol. Finally, brain metabolic data from magnetic resonance spectroscopy (MRS) measurements in vivo were integrated with CSF data to identify an association between 3-hydroxyvalerate and frontal white matter N-acetyl aspartate levels. The results underscore the utility of tools such as SHY and OPLS for coanalysis of high dimensional data sets to recover biological information unobtainable when such data are analyzed in isolation.     

Metabolomic analysis of a human oral glucose tolerance test reveals fatty acids as reliable indicators of regulated metabolism

Gas chromatography/mass spectrometry-based metabolomics was applied to investigate dynamic changes in the plasma metabolome upon an oral glucose tolerance test (OGTT). The OGTT is a frequently used diagnostic test of glucose homeostasis and diabetes. Diabetes is diagnosed either when glucose levels ≥7.0 mM in the fasting state or ≥11.0 mM at 2 h after oral glucose intake. The accuracy of the OGTT would, however, most likely improve if additional variables could be identified. In the present study, plasma samples were drawn every 15 min for 2 h after an oral glucose load of 75 g preceded by an overnight fast in healthy individuals. Blood plasma levels of more than 200 putative metabolites were measured. Multivariate modelling was used to distinguish metabolic regulation due to the glucose challenge from that of other variability. Two data scaling methods were applied, yielding similar results when evaluated by appropriate diagnostic tools. Fatty acid levels were found to be strongly decreased during the OGTT. Also, the levels of amino acids were shown to decrease. However, technical and uninduced biological variations were found to affect the amino acid levels to a greater extent than the fatty acid levels, making the fatty acids more reliable as indicators of metabolic regulation. Levels of several metabolites correlated with the quadratic glucose profile and two were found having an inverse correlation. Raw data plots of all identified significantly altered metabolites confirmed the excellent performance of the multivariate models. Using this approach, a better understanding of the metabolic response to an OGTT can be achieved, paving the way for inclusion of other variables describing appropriate metabolic control.     

Multi-Organ Contribution to the Metabolic Plasma Profile Using Hierarchical Modelling

Hierarchical modelling was applied in order to identify the organs that contribute to the levels of metabolites in plasma. Plasma and organ samples from gut, kidney, liver, muscle and pancreas were obtained from mice. The samples were analysed using gas chromatography time-of-flight mass spectrometry (GC TOF-MS) at the Swedish Metabolomics centre, Umeå University, Sweden. The multivariate analysis was performed by means of principal component analysis (PCA) and orthogonal projections to latent structures (OPLS). The main goal of this study was to investigate how each organ contributes to the metabolic plasma profile. This was performed using hierarchical modelling. Each organ was found to have a unique metabolic profile. The hierarchical modelling showed that the gut, kidney and liver demonstrated the greatest contribution to the metabolic pattern of plasma. For example, we found that metabolites were absorbed in the gut and transported to the plasma. The kidneys excrete branched chain amino acids (BCAAs) and fatty acids are transported in the plasma to the muscles and liver. Lactic acid was also found to be transported from the pancreas to plasma. The results indicated that hierarchical modelling can be utilized to identify the organ contribution of unknown metabolites to the metabolic profile of plasma.     

Monitoring oxidative stress biomarkers in the lipidome: is there a roadmap for "human inspection"?

Oxidative stress is more and more recognized as the underlying motif for a broad variety of diseases including cancer. Medicine faces the paramount task to develop better diagnostic tools and drug treatment prediction models in the future to significantly enhance the quality of life. Special interest will focus on earlystage disease biomarkers and biomarkers that could predict healing success at the earliest time point after the treatment started. The accelerated formation of so-called reactive oxygen species (ROS) is becoming widely regarded as the underlying process associated with many diseases like myocardial infarction, Alzheimer's, Parkinson's and kidney disease, etc. Once generated within cells and tissues, ROS can react with a variety of cellular metabolites like fatty acids, proteins or DNA. This review investigates the possibilities for various oxidized metabolites as well as proteomics, genomics and bioimaging biomarkers to serve as early-stage disease biomarkers or biomarkers for drug treatment success. We also assess the value of a step-by-step or cascade biomarker approach as a new paradigm in medical diagnostics. Examples are given for possible analytical methodology and tools as well as statistical methods that could be applied. Such an approach may straighten the road toward new medical diagnostics and treatment regimes, which ultimately could lead to a significantly enhanced medical service for patients suffering from chronic and debilitating or deadly diseases including cancer. Examples from recent research are given to show the progress and possibilities for the proposed model.     

Serine proteases of the fibrinolysis pathway are not involved in lethal hepatitis and fibrinogen breakdown induced by tumor necrosis factor

Tumor necrosis factor (TNF) plays a key role in several types of fulminant and acute hepatitis, and induces massive apoptosis and necrosis of hepatocytes. Our previous studies described the central role played by several matrix metalloproteinases (MMPs) and one or more unknown serine proteases. The aim of this study was to investigate the involvement of serine proteases of the fibrinolytic pathway, known to be activators of several MMPs, in TNF-induced hepatitis and fibrinogen (FG) breakdown. Experiments were performed in a model of TNF-induced hepatitis, consisting of administration of TNF in combination with D-(+)-galactosamine (GalN) to mice deficient in urokinase-type plasminogen (PG) activator (u-PA), tissue-type PG activator (t-PA) or PG. Lethality, transaminase release, increased plasma clotting time and FG levels were measured. In PA- and PG-deficient mice, TNF/GalN still induced hepatitis, as well as increased clotting time and FG breakdown. MMP-9 activation still occurred in the liver despite the lack of plasmin. The data suggest that the serine proteases involved in TNF-induced lethal hepatitis are no constituents of the fibrinolytic cascade.     

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.     

A method for handling metabonomics data from liquid chromatography/mass spectrometry: combinational use of support vector machine recursive feature elimination, genetic algorithm and random forest for feature selection

Metabolic markers are the core of metabonomic surveys. Hence selection of differential metabolites is of great importance for either biological or clinical purpose. Here, a feature selection method was developed for complex metabonomic data set. As an effective tool for metabonomics data analysis, support vector machine (SVM) was employed as the basic classifier. To find out meaningful features effectively, support vector machine recursive feature elimination (SVM-RFE) was firstly applied. Then, genetic algorithm (GA) and random forest (RF) which consider the interaction among the metabolites and independent performance of each metabolite in all samples, respectively, were used to obtain more informative metabolic difference and avoid the risk of false positive. A data set from plasma metabonomics study of rat liver diseases developed from hepatitis, cirrhosis to hepatocellular carcinoma was applied for the validation of the method. Besides the good classification results for 3 kinds of liver diseases, 31 important metabolites including lysophosphatidylethanolamine (LPE) C16:0, palmitoylcarnitine, lysophosphatidylethanolamine (LPC) C18:0 were also selected for further studies. A better complementary effect of the three feature selection methods could be seen from the current results. The combinational method also represented more differential metabolites and provided more metabolic information for a “global” understanding of diseases than any single method. Further more, this method is also suitable for other complex biological data sets.     

Uridine diphospho sugars and related hexose phosphates in the liver of hexosamine-treated rats: identification using 31P-[1H] two-dimensional NMR with HOHAHA relay

The effects of administration of galactosamine (GalN) and glucosamine (GlcN) on the levels of UDP-sugars and hexose monophosphates in rat livers were studied by a variety of 31P NMR methods. The flux of metabolites in the liver was monitored by in vivo NMR and showed elevated levels of UDP-sugars, and even greater increases in resonances at 4.6 ppm for GlcN treatment and at 2.0 ppm for GalN treatment. The individual compounds corresponding to these changes were identified in PCA liver extracts by 31P-[1H] two-dimensional relay spectroscopy with a HOHAHA-type 1H spin-lock. This method of transferring proton magnetization allows for nearly all of the proton chemical shifts to be observed for the hexose moiety of a UDP-sugar present in a complex mixture. The UDP-sugars in the extracts from treated rats were predominantly UDP-hexosamines. Relay spectra were also used to determine that GalN-1-P was the major component (16.0 mumol/g of liver) of the GalN-treated liver, while both alpha and beta anomers of GlcNAc-6-P were readily identified as the major hexose monophosphates in the GlcN experiment. Spectra from the 1H dimension of relay experiments conducted on extracts were nearly superimposable on relay spectra obtained under the same conditions for mixtures of standard compounds of known structure. UDP-GlcN and UDP-GalN were not commercially available, but their presence was established in the extracts after GalN treatment by obtaining relay spectra for a mixture of the compounds produced in situ enzymatically, without purification.(ABSTRACT TRUNCATED AT 250 WORDS)     

Characterizing the metabolic phenotype: a phenotype phase plane analysis.

Genome-scale metabolic maps can be reconstructed from annotated genome sequence data, biochemical literature, bioinformatic analysis, and strain-specific information. Flux-balance analysis has been useful for qualitative and quantitative analysis of metabolic reconstructions. In the past, FBA has typically been performed in one growth condition at a time, thus giving a limited view of the metabolic capabilities of a metabolic network. We have broadened the use of FBA to map the optimal metabolic flux distribution onto a single plane, which is defined by the availability of two key substrates. A finite number of qualitatively distinct patterns of metabolic pathway utilization were identified in this plane, dividing it into discrete phases. The characteristics of these distinct phases are interpreted using ratios of shadow prices in the form of isoclines. The isoclines can be used to classify the state of the metabolic network. This methodology gives rise to a "phase plane" analysis of the metabolic genotype-phenotype relation relevant for a range of growth conditions. Phenotype phase planes (PhPPs) were generated for Escherichia coli growth on two carbon sources (acetate and glucose) at all levels of oxygenation, and the resulting optimal metabolic phenotypes were studied. Supplementary information can be downloaded from our website (http://epicurus.che.udel.edu).     

Galactosamine-induced hepatotoxic effect and hepatoprotective role of a protein isolated from the herb Cajanus indicus L in vivo

dd(+)-Galactosamine is a well-known experimental hepatotoxin. The present study was conducted to determine the protective role of a 43-kD protein isolated from the leaves of the herb Cajanus indicus L against D(+)-galactosamine (GalN) induced liver damage in mice. Both preventive and curative effects of the protein have been investigated in the study. The protein was administered intraperitoneally at a dose of 2 mg/kg body weight for 4 days before and after GalN intoxication at a dose of 800 mg/kg body weight for 3 days. The increased activities of serum marker enzymes, alanine aminotransferase, and alkaline phosphatase because of GalN administration, were significantly reduced by the protein treatment. The protein also normalized the altered activities of antioxidant enzymes superoxide dismutase, catalase, glutathione reductase, and glutathione-S-transferase as well as the levels of cellular metabolites, reduced glutathione, glutathione disulfide, and total thiols. In addition, the enhanced hepatic lipid peroxidation because of GalN intoxication was also effectively inhibited by the protein treatment. Results suggest that GalN caused hepatic damages via oxidative insult and that the protein provided protection through its antioxidant mechanism.