1 前言准确评定饲料的营养价值是配制全价饲料提高饲料利用率的先行性技术之一。在饲料营养价值中有效能更为重要,因而准确评定饲料能值的方法是国内外学者十分关注的一大问题。Sibbald I R(1976)提出以生物学试验方法实测饲料真代谢能(...1 前言准确评定饲料的营养价值是配制全价饲料提高饲料利用率的先行性技术之一。在饲料营养价值中有效能更为重要,因而准确评定饲料能值的方法是国内外学者十分关注的一大问题。Sibbald I R(1976)提出以生物学试验方法实测饲料真代谢能(TME)值,其后。在这方面又陆续地进行了不少研究工作。展开更多
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
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.
