AIM:To gain new insights into tumor metabolism and to identify possible biomarkers with potential diagnostic values to predict tumor metastasis.METHODS:Human gastric cancer SGC-7901 cells were implanted into 24 severe...AIM:To gain new insights into tumor metabolism and to identify possible biomarkers with potential diagnostic values to predict tumor metastasis.METHODS:Human gastric cancer SGC-7901 cells were implanted into 24 severe combined immune deficiency (SCID) mice,which were randomly divided into metastasis group (n=8),non-metastasis group (n=8),and normal group (n=8).Urinary metabolomic information was obtained by gas chromatography/mass spectrometry (GC/MS).RESULTS:There were significant metabolic differences among the three groups (t test,P < 0.05).Ten selected metabolites were different between normal and cancer groups (non-metastasis and metastasis groups),and seven metabolites were also different between non-metastasis and metastasis groups.Two diagnostic models for gastric cancer and metastasis were constructed respectively by the principal component analysis (PCA).These PCA models were confirmed by corresponding receiver operating characteristic analysis (area under the curve=1.00).CONCLUSION:The urinary metabolomic profile is different,and the selected metabolites might be instructive to clinical diagnosis or screening metastasis for gastric cancer.展开更多
This study aimed at determining the effects of Angelica sinensis(AS) on urinary metabolites in blood deficiency mice and exploring its replenishing blood mechanism. Gas chromatography–mass spectrometry(GC-MS) was app...This study aimed at determining the effects of Angelica sinensis(AS) on urinary metabolites in blood deficiency mice and exploring its replenishing blood mechanism. Gas chromatography–mass spectrometry(GC-MS) was applied to detect metabolites in the urine samples in different collection periods. Principal component analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA) were used to investigate the differences in metabolic profiles among control group(CG), blood deficiency model group(MG), AS groups, and Colla Corii Asini group(CCAG). The potential biomarkers were identified based on the variable importance in the projection(VIP), T-test, and National Institute of Standards and Technology(NIST) and mass spectra library. The metabolites were analyzed using metabolomics pathway analysis(Met PA) to build the metabolic pathways. Our results indicated that, on the seventh day, the levels of glucose, lactic acid, pyruvic acid, alanine, acetoacetic acid, and citric acid changed significantly in blood deficiency mice. However, these metabolic deviations came to closer to normal levels after AS intervention. The reversing blood-deficiency mechanism of AS might involve regulating synthesis and degradation of ketone bodies, Pyruvate metabolism, TCA cycle, and Glycolysis / Gluconeogenesis. In conclusion, metabonomics is a robust and promising means for the identification of biomarkers and elucidation of the mechanisms of a disease, thereby highlighting its importance in drug discovery.展开更多
An analytical method was developed to quantitatively determine selected monohydroxy metabolites of polycyclic aromatic hydrocarbons(PAHs) in human urine. The procedure included enzymatic hydrolysis to cleave the conju...An analytical method was developed to quantitatively determine selected monohydroxy metabolites of polycyclic aromatic hydrocarbons(PAHs) in human urine. The procedure included enzymatic hydrolysis to cleave the conjugated metabolites, solid-phase microextraction enrichment, and gas chromatography-mass spectrometry analysis. The method proved to be sensitive enough to detect the selected PAH metabolites in human urine.展开更多
基金Supported by The Key Program of Science and Technology Commission of Shanghai Municipality,Project No.09JC1411600Natural Science Foundation of Shanghai,No.08ZR1411300
文摘AIM:To gain new insights into tumor metabolism and to identify possible biomarkers with potential diagnostic values to predict tumor metastasis.METHODS:Human gastric cancer SGC-7901 cells were implanted into 24 severe combined immune deficiency (SCID) mice,which were randomly divided into metastasis group (n=8),non-metastasis group (n=8),and normal group (n=8).Urinary metabolomic information was obtained by gas chromatography/mass spectrometry (GC/MS).RESULTS:There were significant metabolic differences among the three groups (t test,P < 0.05).Ten selected metabolites were different between normal and cancer groups (non-metastasis and metastasis groups),and seven metabolites were also different between non-metastasis and metastasis groups.Two diagnostic models for gastric cancer and metastasis were constructed respectively by the principal component analysis (PCA).These PCA models were confirmed by corresponding receiver operating characteristic analysis (area under the curve=1.00).CONCLUSION:The urinary metabolomic profile is different,and the selected metabolites might be instructive to clinical diagnosis or screening metastasis for gastric cancer.
基金financially supported by the Natural Science Foundation of China(No.31272600)
文摘This study aimed at determining the effects of Angelica sinensis(AS) on urinary metabolites in blood deficiency mice and exploring its replenishing blood mechanism. Gas chromatography–mass spectrometry(GC-MS) was applied to detect metabolites in the urine samples in different collection periods. Principal component analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA) were used to investigate the differences in metabolic profiles among control group(CG), blood deficiency model group(MG), AS groups, and Colla Corii Asini group(CCAG). The potential biomarkers were identified based on the variable importance in the projection(VIP), T-test, and National Institute of Standards and Technology(NIST) and mass spectra library. The metabolites were analyzed using metabolomics pathway analysis(Met PA) to build the metabolic pathways. Our results indicated that, on the seventh day, the levels of glucose, lactic acid, pyruvic acid, alanine, acetoacetic acid, and citric acid changed significantly in blood deficiency mice. However, these metabolic deviations came to closer to normal levels after AS intervention. The reversing blood-deficiency mechanism of AS might involve regulating synthesis and degradation of ketone bodies, Pyruvate metabolism, TCA cycle, and Glycolysis / Gluconeogenesis. In conclusion, metabonomics is a robust and promising means for the identification of biomarkers and elucidation of the mechanisms of a disease, thereby highlighting its importance in drug discovery.
基金supported by the National Natural Science Foundation of China(21227006,21275088)the China Equipment and Education Resources System(CERS-1-75)
文摘An analytical method was developed to quantitatively determine selected monohydroxy metabolites of polycyclic aromatic hydrocarbons(PAHs) in human urine. The procedure included enzymatic hydrolysis to cleave the conjugated metabolites, solid-phase microextraction enrichment, and gas chromatography-mass spectrometry analysis. The method proved to be sensitive enough to detect the selected PAH metabolites in human urine.
