Metabolic profiling reveals disorder of amino acid metabolism in four brain regions from a rat model of chronic unpredictable mild stress

Ni, Yan; Su, Mingming; Lin, Jinchao; Wang, Xiao Yan; Qiu, Yunping; Zhao, Aihua; Chen, Tianlu; Wang, Jia

doi:10.1016/j.febslet.2008.06.040

Cited by 169 publications

(153 citation statements)

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“…The percentages of variance explained by the first and second components in the model are 23.6% and 16.0%, respectively. Variable importance in the projection (VIP) ranks the overall contribution of each variable (peak intensity) to the OPLS-DA model-variables with VIP > 1 were selected as differential signals [9] and [12]. Accordingly, we identified a total of 18 differential metabolites in our study using NIST library, and 11 of them were confirmed by standard compounds (Table 6).…”

Section: Applicationmentioning

confidence: 99%

“…Therefore, tissue-targeted technology has considerable value since many diseases may cause detectable disturbances only to the local metabolic pathways within specific organs [11]. Tissue-targeted metabonomic analyses have been carried out on brain tissue [11][12][13], liver tissue [14][15][16], and kidney tissue [17][18][19]. Metabolite extraction is a critical step in tissue metabonomic study, and the chloroform-methanol-water solvent system is considered the preferred method in several reports [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

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An optimized procedure for metabonomic analysis of rat liver tissue using gas chromatography/time-of-flight mass spectrometry

Qiu

Chen

et al. 2010

Journal of Pharmaceutical and Biomedical Analysis

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Abstract:In this paper, we present a tissue metabonomic method with an optimized extraction procedure followed by instrumental analysis with gas chromatography/time-of-flight mass spectrometry (GC/TOFMS) and spectral data analysis with multivariate statistics. Metabolite extractions were carried out using three solvents: chloroform, methanol, and water, with design of experiment (DOE) theory and multivariate statistical analysis. A two-step metabolite extraction procedure was optimized using a mixed solvent of chloroform-methanol-water (1:2:1, v/v/v) and then followed by methanol alone. This approach was subsequently validated using standard compounds and liver tissues. Calibration curves were obtained in the range of 0.50-125.0 μg/mL for standards and 0.02-0.25 g/mL acceptable for liver tissue samples. For most of the metabolites investigated, relative standard deviations (RSD) were below 10% within a day (reproducibility) and below 15% within a week (stability). Rat liver tissues of carbon tetrachloride-induced acute liver injury models (n = 10) and healthy control rats (n = 10) were analyzed which demonstrated the applicability of the developed procedure for the tissue metabonomic study.

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Section: Applicationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An optimized procedure for metabonomic analysis of rat liver tissue using gas chromatography/time-of-flight mass spectrometry

Qiu

Chen

et al. 2010

Journal of Pharmaceutical and Biomedical Analysis

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“…The acquired MS files from the GC-TOF/MS analysis were exported in NetCDF format by ChromaTOF software (v3.3, Leco, St. Joseph, MI, USA). NetCDF files were processed by custom scripts in MATLAB (The Math Works, Natick, MA, USA) to carry out baseline correction, denoising, smoothing, alignment, time-window splitting, and multivariate curve resolution (Jonsson et al 2004(Jonsson et al , 2005Ni et al 2008). The resulting three-dimensional matrix (referred to as the metabolic matrix hereafter) includes sample information, peak retention time, and peak intensities.…”

Section: Methodsmentioning

confidence: 99%

Effect of Irradiation on Mating Ability in the Male Sweetpotato Weevil (Coleoptera: Curculionidae)

Kumano

Haraguchi

Kohama

2008

Journal of Economic Entomology

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“…VIP ranks the overall contribution of each variable to the OPLS-DA model, and those variables with VIP Ͼ 1.0 are considered relevant for group discrimination (29). Herein, VIP statistics and S-plot were applied to obtain the significant variables for subsequent metabolic pathway analysis (30,31). Besides the multivariate approaches, one univariate method, the Student's t test, was selected to measure the significance of each metabolite in separating HCC patients from healthy controls.…”

Section: Quantitative Analysis Of Bile Acids In Serum and Urine Samplmentioning

confidence: 99%

Serum and Urine Metabolite Profiling Reveals Potential Biomarkers of Human Hepatocellular Carcinoma

Chen

Xie

Wang

et al. 2011

Molecular & Cellular Proteomics

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Hepatocellular carcinoma (HCC) is a common malignancy in the world with high morbidity and mortality rate. Identification of novel biomarkers in HCC remains impeded primarily because of the heterogeneity of the disease in clinical presentations as well as the pathophysiological variations derived from underlying conditions such as cirrhosis and steatohepatitis. The aim of this study is to search for potential metabolite biomarkers of human HCC using serum and urine metabolomics approach. Sera and urine samples were collected from patients with HCC (n ‫؍‬ 82), benign liver tumor patients (n ‫؍‬ 24), and healthy controls (n ‫؍‬ 71). Metabolite profiling was performed by gas chromatography time-of-flight mass spectrometry and ultra performance liquid chromatography-quadrupole time of flight mass spectrometry in conjunction with univariate and multivariate statistical analyses. Forty three serum metabolites and 31 urinary metabolites were identified in HCC patients involving several key metabolic pathways such as bile acids, free fatty acids, glycolysis, urea cycle, and methionine metabolism. Differentially expressed metabolites in HCC subjects, such as bile acids, histidine, and inosine are of great statistical significance and high fold changes, which warrant further validation as potential biomarkers for HCC. However, alterations of several bile acids seem to be affected by the condition of liver cirrhosis and hepatitis. Quantitative measurement and comparison of seven bile acids among benign liver tumor patients with liver cirrhosis and hepatitis, HCC patients with liver cirrhosis and hepatitis, HCC patients without liver cirrhosis and hepatitis, and healthy controls revealed that the abnormal levels of glycochenodeoxycholic acid, glycocholic acid, taurocholic acid, and chenodeoxycholic acid are associated with liver cirrhosis and hepatitis. HCC patients with alpha fetoprotein values lower than 20 ng/ml was successfully differentiated from healthy controls with an accuracy of 100% using a panel of metabolite markers. Our work shows that metabolomic profiling approach is a promising screening tool for the diagnosis and stratification of HCC patients.Molecular & Cellular Proteomics 10: 10.1074/mcp.M110.004945, 1-13, 2011. Hepatocelluar carcinoma (HCC)1 is the fifth most common cancer (1) and the third leading cause of cancer-related death (2) with a five-year survival rate of less than 7% (3). The morbidity of HCC in Southeast Asia and sub-Saharan Africa is greater than 20 cases per 100,000 population, whereas in North America and Western Europe is much lower, less than 5 per 100,000 population (4). However, a dramatically increasing incidence of HCC in the world, especially in the United States has been reported in recent years, primarily because of chronic alcohol use and chronic hepatitis C infection (5). Diabetic and metabolic diseases of the liver have been known to contribute to an increased incidence of HCC in recent years (6, 7). Despite significant progress in cancer diagnosis and treatment, the morbidity...

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Metabolic profiling reveals disorder of amino acid metabolism in four brain regions from a rat model of chronic unpredictable mild stress

Cited by 169 publications

References 50 publications

An optimized procedure for metabonomic analysis of rat liver tissue using gas chromatography/time-of-flight mass spectrometry

An optimized procedure for metabonomic analysis of rat liver tissue using gas chromatography/time-of-flight mass spectrometry

Effect of Irradiation on Mating Ability in the Male Sweetpotato Weevil (Coleoptera: Curculionidae)

Serum and Urine Metabolite Profiling Reveals Potential Biomarkers of Human Hepatocellular Carcinoma

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