Urinary metabolomic phenotyping of nickel induced acute toxicity in rat: an NMR spectroscopy approach

The metabolomic approach has been widely used in toxicology to investigate mechanisms of toxicity. To understand the mammalian system??s response to nickel exposure, we analysed the NiCl₂ induced metabolomic changes in urine of rats using ¹H nuclear magnetic resonance (¹H NMR) spectroscopy together with clinically relevant biochemical parameters. Male Sprague?CDawley rats were administered intraperitoneally with NiCl₂ at doses of 4, 10 and 20?mg/kg body weight. Urine samples were collected at 8, 16, 24, 72, 96 and 120?h post treatment. The metabolomic profile of rat urine showed prominent changes in citrate, dimethylamine, creatinine, choline, trimethylamine oxide (TMAO), phenyl alanine and hippurate at all doses. Principal component analysis of urine ¹H NMR spectra demonstrated the dose and time dependent development of toxicity. The metabolomic time trajectory, based on pattern recognition analysis of ¹H NMR spectra of urine, illustrated clear separation of pre and post treatments (temporal). Only animals treated with a low dose of NiCl₂ returned to normal physiology. The ¹H NMR spectral data correlated well with the clinically relevant nephrotoxic biomarkers. The urinary metabolomic phenotyping for NiCl₂ induced nephrotoxicity was defined according to the predictive ability of the known metabolite biomarkers, creatinine, citrate and TMAO. The current approach demonstrates that metabolomics, one of the most important platform in system biology, may be a promising tool for identifying and characterizing biochemical responses to toxicity.     

Metabolomic studies on the biochemical profile of urine from rats with acute cysteamine supplementation

This study investigates the effect of acute cysteamine (CS) supplementation on rat metabolism. A metabolomic strategy using high-resolution ¹H-NMR spectroscopy in conjunction with principal component analysis was applied to examine rat biological responses to CS administration. Half of female Sprague–Dawley rats (2 groups of 6 rats) were each given doses of 150 mg CS/kg body weight intraperitoneally. Urine samples were collected twice daily (0–8 and 8–24 h) from the rats following CS administration. The identifiable biochemical effects associated with CS supplementation included decreased urinary concentrations of hippurate, succinate, citric acid, and 2-oxoglutarate, as well as increased urinary concentrations of dimethylamine, dimethylglycine, glycine, and taurine. These effects were predominately seen within the first 8 h after CS administration. Clear differences in succinate, citric acid, and 2-oxoglutarate were observed 8–24 h following CS. The results suggest that CS supplementation in the rats resulted in modulation of intestinal microbial metabolism and metabolic perturbation of the tricarboxylic acid cycle.     

Effects of Pinus brutia bark extract and Pycnogenol® in a rat model of carrageenan induced inflammation

The present study was conducted to explore the anti-inflammatory activities of Pinus brutia bark extract and Pycnogenol^® in a rat model of carrageenan-induced inflammation. Firstly, the compositions of both samples were determined using HPLC. Then, carrageenan-induced paw edema was used to assess anti-inflammatory activity in mice. Paw volume was measured before and 1, 2, 3, 4, 5 and 6 h after the injection of carrageenan. Intraperitoneal administration of both the extract and Pycnogenol^® inhibited paw swelling dose-dependently at 2, 3, 4, 5 and 6 h after carrageenan injection. Both samples exhibited significant anti-inflammatory activities at doses of 75 and 100 mg/kg body wt. between 2 and 4 hours after administration (p<0.05), respectively. Additionally, P. brutia bark extract showed significantly better activity at doses of 75 and 100 mg/kg body wt. than indomethacine at the dose of 10 mg/kg body wt. (p<0.05). No acute toxicity was identified in intraplantar injection of the extract at a dose of 2000 mg/kg body wt.. Therefore, P. brutia bark extract possessing 3.3-fold more total catechins and 9.8-fold more taxifolin than Pycnogenol^® can be utilized as an anti-inflammatory agent.     

Effects of Pinus brutia bark extract and Pycnogenol® in a rat model of carrageenan induced inflammation

The present study was conducted to explore the anti-inflammatory activities of Pinus brutia bark extract and Pycnogenol^® in a rat model of carrageenan-induced inflammation. Firstly, the compositions of both samples were determined using HPLC. Then, carrageenan-induced paw edema was used to assess anti-inflammatory activity in mice. Paw volume was measured before and 1, 2, 3, 4, 5 and 6 h after the injection of carrageenan. Intraperitoneal administration of both the extract and Pycnogenol^® inhibited paw swelling dose-dependently at 2, 3, 4, 5 and 6 h after carrageenan injection. Both samples exhibited significant anti-inflammatory activities at doses of 75 and 100 mg/kg body wt. between 2 and 4 hours after administration (p<0.05), respectively. Additionally, P. brutia bark extract showed significantly better activity at doses of 75 and 100 mg/kg body wt. than indomethacine at the dose of 10 mg/kg body wt. (p<0.05). No acute toxicity was identified in intraplantar injection of the extract at a dose of 2000 mg/kg body wt.. Therefore, P. brutia bark extract possessing 3.3-fold more total catechins and 9.8-fold more taxifolin than Pycnogenol^® can be utilized as an anti-inflammatory agent.     

Clemizole hydrochloride,a potent TRPC5 calcium channel inhibitor,prevents cisplatin-induced nephrotoxicity in Spraque–Dawley rats

Cis-diamminedichloroplatinum (II) (cisplatin, Cis) is widely employed to treat several types of cancer. It has many important toxic side effects; one of the most important of which is nephrotoxicity. Clemizole hydrochloride (Clem) as the most potent inhibitor of TRPC5 channels was tested in an animal model of Cis-induced nephrotoxicity. Rats were divided into the following groups: control; Cis (8 mg/kg); Cis + 1 mg/kg Clem; Cis + 5 mg/kg Clem; Cis + 10 mg/kg Clem. Kidney injury was detected by histopathological and biochemical analysis. Urine urea nitrogen (UUN), creatinine, urine neutrophil gelatinase-associated lipocalin (NGAL), serum catalase (CAT), and malondialdehyde (MDA) levels were determined by enzyme-linked immunosorbent assay. Total antioxidant status (TAS) and total oxidant status (TOS) were studied using a colorimetric assay. Nephrin, synaptopodin, and Rac family small GTPase 1 (RAC1) expressions were detected by Western blot analysis. Cis was found to induce histopathological alterations, including tubular degeneration, congestion, hemorrhage, hyaline casts, glomerular collapse, and apoptotic cell death. Clem at a dose of 1 and 5 mg/kg attenuated histopathological alterations. UUN, creatinine, and NGAL levels increased in the Cis-administered group, while all doses of Clem decreased in those. CAT and TAS levels decreased, while TOS and oxidative stress index levels increased in the Cis-treated group. A dose of 1 and 5 mg Clem showed antioxidant effects against oxidative stress. Cis induced lipid peroxidation by increasing MDA levels. All doses of Clem reduced MDA levels. Nephrin and synaptopodin expressions were decreased by Cis, and all doses of Clem increased that. All doses of Clem successfully depressed RAC1 expression. Clem showed a highly ameliorating effect on toxicity caused by Cis by blocking TRPC5 calcium channels.     

NMR spectroscopic-based metabonomic investigation on the acute biochemical effects induced by Ce(NO3)3 in rats

An integrated metabonomic approach based on high-resolution (1)H NMR spectroscopy has been applied to the investigation of the acute biochemical effects caused by Ce(NO(3))(3) in rats. Male Wistar rats were separated into 8 groups and each was treated with one of following compounds, mercury II chloride (HgCl(2)), 2-bromoethanamine hydrobromide (BEA), carbon tetrachloride (CCl(4)), alpha-naphthylisothiocyanate (ANIT), and three doses of Ce(NO(3))(3) (i.p. 2, 10 and 50mg/kg body weight). Urine was collected over a 48-h time course, and serum and tissue samples (liver and kidney) were gained after exposure to Ce(NO(3))(3) for 48 h. Histopathology and plasma clinical chemistry were also performed for all the tissue and plasma samples. Urine and serum samples were analyzed by 600 MHz (1)H NMR spectroscopy. All the (1)H NMR spectra were data-processed and analyzed using principal components analysis or hierarchical clustering analysis to show the time- and dose-dependent biochemical variations induced by Ce(NO(3))(3). Metabolic profiles of urinary (1)H NMR spectra from animals treated with Ce(NO(3))(3) exhibited an increase in trimethylamine N-oxide (TMAO), dimethylamine (DMA), dimethylglycine (DMG), taurine (Tau) and amino acids (valine, leucine and isoleucine), together with a decrease in citrate. The (1)H NMR spectral analysis of serum presented the elevation of acetone, acetoacetate, lactate and creatinine levels. These findings indicated the impairment of fatty acid beta-oxidation in liver mitochondria and renal lesions. This work illustrates the high reliability of NMR-based metabonomic approach on the study of the biochemical effects induced by rare earths.     

Systems toxicology study of doxorubicin on rats using ultra performance liquid chromatography coupled with mass spectrometry based metabolomics

A metabolomics-based systems toxicology approach was used to profile the urinary metabolites for the toxicity related processes and pathogenesis induced by doxorubicin (DOX) to rats. Endogenous metabolite profiles were obtained with ultra performance liquid chromatography-mass spectrometry (UPLC-MS) for rats receiving different single dosages of DOX (5, 10 or 20 mg/kg) prior and at three time points after dosage. Principal components analysis (PCA) allowed detection of two major systemic metabolic changes with the time due to the induced toxicity. Furthermore, Analysis of variance (ANOVA) Simultaneous Component Analysis (ASCA) was applied to reveal the variation caused by time and dose, and their interaction in a multivariate way. Finally, various metabolites involved in the toxic processes could be identified using their accurate mass and MSⁿ experiments, and possible mechanisms of the toxicity of DOX were postulated. In conclusion, metabolomics as a systems toxicology approach was able to provide comprehensive information on the dynamic process of drug induced toxicity. In addition, detection of the systemic toxic effects could be obtained with metabolomics at an earlier stage compared to the clinical chemistry and histopathological assessment.     

The impact of free or standardized lifestyle and urine sampling protocol on metabolome recognition accuracy

Urine contains a clear individual metabolic signature, although embedded within a large daily variability. Given the potential of metabolomics to monitor disease onset from deviations from the “healthy” metabolic state, we have evaluated the effectiveness of a standardized lifestyle in reducing the “metabolic” noise. Urine was collected from 24 (5 men and 19 women) healthy volunteers over a period of 10 days: phase I, days 1–7 in a real-life situation; phase II, days 8–10 in a standardized diet and day 10 plus exercise program. Data on dietary intake and physical activity have been analyzed by a nation-specific software and monitored by published protocols. Urine samples have been analyzed by ¹H NMR followed by multivariate statistics. The individual fingerprint emerged and consolidated with increasing the number of samples and reaches ~100 % cross-validated accuracy for about 40 samples. Diet standardization reduced both the intra-individual and the interindividual variability; the effect was due to a reduction in the dispersion of the concentration values of several metabolites. Under standardized diet, however, the individual phenotype was still clearly visible, indicating that the individual’s signature was a strong feature of the metabolome. Consequently, cohort studies designed to investigate the relation of individual metabolic traits and nutrition require multiple samples from each participant even under highly standardized lifestyle conditions in order to exploit the analytical potential of metabolomics. We have established criteria to facilitate design of urine metabolomic studies aimed at monitoring the effects of drugs, lifestyle, dietary supplements, and for accurate determination of signatures of diseases.     

Combination of zingerone and dihydroartemisinin presented synergistic antimalarial activity against Plasmodium berghei infection in BALB/c mice as in vivo model

Malaria is a global health problem leading to the death of 435,000 cases in tropical and sub-tropical zones. Spread and emergence of increasing resistance to the antimalarial drugs are the major challenges in the control of malaria. Therefore, searching for alternative antimalarial drugs is urgently needed, and combination treatment preferred as an approach to address this. This study aimed to evaluate in vivo antimalarial activity of zingerone (ZN), and its combination with dihydroartemisinin (DHA) against Plasmodium berghei infected mice. ZN was prepared and tested for acute oral toxicity according to the OECD guideline. In vivo antimalarial activity of different doses of ZN and combination with DHA were determined using the 4-day suppression test. The results showed that ZN was found to be safe and no mortality within the observation period, and the lethal dose might be greater than the limited dose of 1000 mg/kg. For in vivo antimalarial test, ZN exhibited significant (p < .05) parasitemia inhibition of 30.65% and 45.75% at the doses of 50 mg/kg and 100 mg/kg, respectively. Moreover, effective dose 50 (ED₅₀) of ZN was 29.76 mg/kg. The combination treatment of ZN and DHA at the doses of ED₅₀ values at the fixed ratio 1:1 was found to present significant (p < .001) antimalarial activity as compared to ZN and DHA treated alone with markedly prolonged mean survival time. Additionally, the combination index (0.83384) revealed the synergistic antimalarial effect. It can be concluded that ZN exerted potent antimalarial activity with no toxicity, and combination treatment with DHA produced the synergistic antimalarial effect.     

Gas chromatography time-of-flight mass spectrometry based metabolomic approach to evaluating toxicity of triptolide

Metabolomics allows high-throughput analysis of low-molecular-weight compounds in biofluids that reflect the physiological status and biochemical metabolism of living systems. Hence it has the potential to evaluate toxicity and clarifies the metabolism-related toxic mechanisms. In this study a promising candidate drug parent, triptolide, was given to Sprague?CDawley rats as a model toxicant at a single dose of 0.6, or 2.4?mg/kg, i.g. Both routine biochemical assays and histopathological inspection showed time-dependent hepatic toxicity at the higher dose, but no obvious toxicity at the lower dose. Meanwhile, serum metabolome was profiled using the non-targeted metabolomic tool, gas chromatography time-of-flight mass spectrometry. Based on the acquired metabolomic data, mathematical models were calculated and the metabolic patterns of serum were evaluated using projection to latent structure-discriminant analysis. The relative distance of each treated group from the normal control was calculated to provide a measure of toxicity. Treatment with triptolide at either the higher or lower dose caused deviations in the metabolic pattern and resulted in perturbation of taurine, creatinine, free fatty acids, ??-hydroxybutyrate, tricarboxylic acid cycle intermediates, and amino acids. This finding indicates the dysfunction of ??-oxidation of free fatty acids and impairment of the mitochondria and confirms the hepatic toxicity of triptolide. The identified toxic markers and the calculated relative distance values quantitatively demonstrated dose- and time-dependent toxicity, whereas the scores plot of the model provided the qualitative information. The metabolomic approach was non-invasive and more sensitive than routine toxic assessment, and the results of both methods correlated well.     

Bayesian clustering and feature selection for cancer tissue samples

Background  

The versatility of DNA copy number amplifications for profiling and categorization of various tissue samples has been widely acknowledged in the biomedical literature. For instance, this type of measurement techniques provides possibilities for exploring sets of cancerous tissues to identify novel subtypes. The previously utilized statistical approaches to various kinds of analyses include traditional algorithmic techniques for clustering and dimension reduction, such as independent and principal component analyses, hierarchical clustering, as well as model-based clustering using maximum likelihood estimation for latent class models.     

Effect of sesamol on radiation-induced cytotoxicity in Swiss albino mice

The radio-protective ability of sesamol (SM) at various doses viz., 0, 10, 25, 40, 50, 70 and 100 mg/kg bw, administered intraperitoneally 30 min prior to 9.5 Gy whole-body γ-irradiation was studied in Swiss albino mice. Radiation toxicity and mortality were observed during a period of 30 days and the percentage mortality was calculated. SM pretreatment with 50 mg/kg bw was found to be the most effective dose in maintaining body weight and in reducing the percentage mortality, while 100 mg/kg bw was found to be more effective in maintaining the spleen index and in stimulation of endogenous spleen colony-forming units. Pretreatment with SM (50 mg/kg bw) in mice irradiated with 15 Gy significantly reduced dead, inflammatory, mitotic and goblet cells in irradiated jejunum. SM at 50 mg/kg bw also increased crypt cells, maintained villus height, and prevented mucosal erosion. Nuclear enlargement in epithelial cells was found less in SM-treated mice compared with the irradiated control. The radiation-induced decrease in endogenous antioxidant enzymes (GSH, GST, catalase) and the increase in lipid peroxidation were also reduced by pretreatment with SM [50 and 100 mg/kg bw] at all monitored post-irradiation intervals. There was no protection at a dose less than 25 mg/kg bw.     

Signal Intensities Derived from Different NMR Probes and Parameters Contribute to Variations in Quantification of Metabolites

We discovered that serious issues could arise that may complicate interpretation of metabolomic data when identical samples are analyzed at more than one NMR facility, or using slightly different NMR parameters on the same instrument. This is important because cross-center validation metabolomics studies are essential for the reliable application of metabolomics to clinical biomarker discovery. To test the reproducibility of quantified metabolite data at multiple sites, technical replicates of urine samples were assayed by 1D-¹H-NMR at the University of Alberta and the University of Michigan. Urine samples were obtained from healthy controls under a standard operating procedure for collection and processing. Subsequent analysis using standard statistical techniques revealed that quantitative data across sites can be achieved, but also that previously unrecognized NMR parameter differences can dramatically and widely perturb results. We present here a confirmed validation of NMR analysis at two sites, and report the range and magnitude that common NMR parameters involved in solvent suppression can have on quantitated metabolomics data. Specifically, saturation power levels greatly influenced peak height intensities in a frequency-dependent manner for a number of metabolites, which markedly impacted the quantification of metabolites. We also investigated other NMR parameters to determine their effects on further quantitative accuracy and precision. Collectively, these findings highlight the importance of and need for consistent use of NMR parameter settings within and across centers in order to generate reliable, reproducible quantified NMR metabolomics data.     

Statistical multivariate metabolite profiling for aiding biomarker pattern detection and mechanistic interpretations in GC/MS based metabolomics

A strategy for robust and reliable mechanistic statistical modelling of metabolic responses in relation to drug induced toxicity is presented. The suggested approach addresses two cases commonly occurring within metabonomic toxicology studies, namely; 1) A pre-defined hypothesis about the biological mechanism exists and 2) No such hypothesis exists. GC/MS data from a liver toxicity study consisting of rat urine from control rats and rats exposed to a proprietary AstraZeneca compound were resolved by means of hierarchical multivariate curve resolution (H-MCR) generating 287 resolved chromatographic profiles with corresponding mass spectra. Filtering according to significance in relation to drug exposure rendered in 210 compound profiles, which were subjected to further statistical analysis following correction to account for the control variation over time. These dose related metabolite traces were then used as new observations in the subsequent analyses. For case 1, a multivariate approach, named Target Batch Analysis, based on OPLS regression was applied to correlate all metabolite traces to one or more key metabolites involved in the pre-defined hypothesis. For case 2, principal component analysis (PCA) was combined with hierarchical cluster analysis (HCA) to create a robust and interpretable framework for unbiased mechanistic screening. Both the Target Batch Analysis and the unbiased approach were cross-verified using the other method to ensure that the results did match in terms of detected metabolite traces. This was also the case, implying that this is a working concept for clustering of metabolites in relation to their toxicity induced dynamic profiles regardless if there is a pre-existing hypothesis or not. For each of the methods the detected metabolites were subjected to identification by means of data base comparison as well as verification in the raw data. The proposed strategy should be seen as a general approach for facilitating mechanistic modelling and interpretations in metabolomic studies.     

Radiation metabolomics. 1. Identification of minimally invasive urine biomarkers for gamma-radiation exposure in mice

Gamma-radiation exposure has both short- and long-term adverse health effects. The threat of modern terrorism places human populations at risk for radiological exposures, yet current medical countermeasures to radiation exposure are limited. Here we describe metabolomics for gamma-radiation biodosimetry in a mouse model. Mice were gamma-irradiated at doses of 0, 3 and 8 Gy (2.57 Gy/min), and urine samples collected over the first 24 h after exposure were analyzed by ultra-performance liquid chromatography-time-of-flight mass spectrometry (UPLC-TOFMS). Multivariate data were analyzed by orthogonal partial least squares (OPLS). Both 3- and 8-Gy exposures yielded distinct urine metabolomic phenotypes. The top 22 ions for 3 and 8 Gy were analyzed further, including tandem mass spectrometric comparison with authentic standards, revealing that N-hexanoylglycine and beta-thymidine are urinary biomarkers of exposure to 3 and 8 Gy, 3-hydroxy-2-methylbenzoic acid 3-O-sulfate is elevated in urine of mice exposed to 3 but not 8 Gy, and taurine is elevated after 8 but not 3 Gy. Gene Expression Dynamics Inspector (GEDI) self-organizing maps showed clear dose-response relationships for subsets of the urine metabolome. This approach is useful for identifying mice exposed to gamma radiation and for developing metabolomic strategies for noninvasive radiation biodosimetry in humans.     

Gas Chromatography- Mass Spectrometry Based Metabolomic Approach for Optimization and Toxicity Evaluation of Earthworm Sub-Lethal Responses to Carbofuran

Despite recent advances in understanding mechanism of toxicity, the development of biomarkers (biochemicals that vary significantly with exposure to chemicals) for pesticides and environmental contaminants exposure is still a challenging task. Carbofuran is one of the most commonly used pesticides in agriculture and said to be most toxic carbamate pesticide. It is necessary to identify the biochemicals that can vary significantly after carbofuran exposure on earthworms which will help to assess the soil ecotoxicity. Initially, we have optimized the extraction conditions which are suitable for high-throughput gas chromatography mass spectrometry (GC-MS) based metabolomics for the tissue of earthworm, Metaphire posthuma. Upon evaluation of five different extraction solvent systems, 80% methanol was found to have good extraction efficiency based on the yields of metabolites, multivariate analysis, total number of peaks and reproducibility of metabolites. Later the toxicity evaluation was performed to characterize the tissue specific metabolomic perturbation of earthworm, Metaphire posthuma after exposure to carbofuran at three different concentration levels (0.15, 0.3 and 0.6 mg/kg of soil). Seventeen metabolites, contributing to the best classification performance of highest dose dependent carbofuran exposed earthworms from healthy controls were identified. This study suggests that GC-MS based metabolomic approach was precise and sensitive to measure the earthworm responses to carbofuran exposure in soil, and can be used as a promising tool for environmental eco-toxicological studies.     

Effect of post-exposure administration of keratinocyte growth factor (Palifermin) on radiation effects in oral mucosa in mice

Oral mucositis is a severe component of the acute radiation syndrome. The present study was initiated to determine the potential of recombinant human keratinocyte growth factor (rHuKGF, Palifermin) to ameliorate oral mucositis in a mouse model after a single radiation exposure. A 3 × 3 mm² area in the center of the lower tongue surface of C3H/Neu mice was irradiated with graded single doses of 25 kV X-rays. Acute mucosal ulceration was used as the quantal end-point for dose–response analyses. Palifermin was applied at a dose of 15 mg/kg on days 0, 1, 2, 3, 4 or 5. For comparison, three injections of 5 or 15 mg/kg on days 1–3 were administered. The ED₅₀ (dose at which ulceration is expected in 50% of the animals) for irradiation alone was 11.6 ± 1.2 Gy. Mean latent time was 9.4 ± 0.2 days; mean ulcer duration was 2.8 ± 0.2 days. Single injections of rHuKGF did not result in a significant increase in isoeffective radiation doses at any of the administration days. However, the latent time to ulceration was significantly shortened by 1–2 days in all protocols. Repeated administration of rHuKGF (15 mg/kg) resulted a significant increase in ED50 to 16.8 ± 4.0 Gy (P = 0.0047); the mean latent time was 4.4 ± 0.9 days. Three injections of 5 mg/kg of Palifermin on days 1–3 yielded an ED50 of 19.4 ± 1.7 Gy. In this protocol, mean latent time was 6.6 ± 0.6 days. In conclusion, Palifermin has a potential to reduce the mucositis burden in patients after a single radiation exposure. Repeated injections are required. For three injections, a negative dose-effect of rHuKGF was observed. The optimum dose, number and timing of the administration require further investigation.     

Metabolic signatures of esophageal cancer: NMR-based metabolomics and UHPLC-based focused metabolomics of blood serum

Focused metabolic profiling is a powerful tool for the determination of biomarkers. Here, a more global proton nuclear magnetic resonance (¹H NMR)-based metabolomic approach coupled with a relative simple ultra high performance liquid chromatography (UHPLC)-based focused metabolomic approach was developed and compared to characterize the systemic metabolic disturbances underlying esophageal cancer (EC) and identify possible early biomarkers for clinical prognosis. Serum metabolic profiling of patients with EC (n = 25) and healthy controls (n = 25) was performed by using both ¹H NMR and UHPLC, and metabolite identification was achieved by multivariate statistical analysis. Using orthogonal projection to least squares discriminant analysis (OPLS-DA), we could distinguish EC patients from healthy controls. The predictive power of the model derived from the UHPLC-based focused metabolomics performed better in both sensitivity and specificity than the results from the NMR-based metabolomics, suggesting that the focused metabolomic technique may be of advantage in the future for the determination of biomarkers. Moreover, focused metabolic profiling is highly simple, accurate and specific, and should prove equally valuable in metabolomic research applications. A total of nineteen significantly altered metabolites were identified as the potential disease associated biomarkers. Significant changes in lipid metabolism, amino acid metabolism, glycolysis, ketogenesis, tricarboxylic acid (TCA) cycle and energy metabolism were observed in EC patients compared with the healthy controls. These results demonstrated that metabolic profiling of serum could be useful as a screening tool for early EC diagnosis and prognosis, and might enhance our understanding of the mechanisms involved in the tumor progression.     

Metabolomic evaluation of di-n-butyl phthalate-induced teratogenesis in mice

Di-n-butyl phthalate (DBP) has been linked to the neural, reproductive and developmental toxicity. We present here a metabolomic study that characterized the metabolic variations associated with the DBP-induced teratogenesis in maternal and fetal mice. DBP at 50 and 300?mg/kg were administrated to pregnant C57 mice, via gastric intubation on gestation day 7?C9, respectively. Maternal mice were euthanized on gestation day 16 and examined for fetal development and malformations. Metabolomic study of maternal serum, placenta and fetal brain tissues was performed using gas chromatography time-of-flight mass spectrometry combined with multivariate data analysis (MVDA). The results showed that a 50?mg/kg dose of DBP had no significant effect on fetal development and a 300?mg/kg dose caused embryo resorption and fetal malformations (primarily eye abnormalities and encephalocele). MVDA indicated that DBP at two doses gave rise to disruption of maternal and fetal metabolic profiles characterized by significantly altered tricarboxylic acid cycle, amino acid, purine and lipid metabolism.