The Application Of LC-MS Techniques In Tumor Metabonomics

Metabonomics is a new platform for the study of systems biology in both the pharmaceutical industry and clinical diagnosis. It is an important technology for measuring relative concentrations of endogenous small molecules in biofluids and tissues and characterizing the changes of the metabolites occurring in organisms. Ultrahigh performance liquid chromatography/time of flight mass spectrometry (UPLC/Q-TOF MS) based metabonomics technique was employed to classify and identify cell lines samples from different sources. Liver cancer transplantation tumor was established, and live tissues and serum samples were analyzed by using UPLC/Q-TOF MS and small molecules metabolite profiles were obtained in an effort to find potential biomarkers of the disease and reveal their path physiological changes.Metabolites in extraction of intracellular can illustrate the physical condition of cell lines as a whole. UPLC/Q-TOF MS is a relative new technique for the separation of complex samples. The aim of this study is to assess the feasibility of metabonomics in cell lines sorting. In this work, samples from 5 cell lines were analyzed by using UPLC/Q-TOF MS and small molecules metabolite profiles from extraction of intracellular were obtained. Principal components analysis (PCA) models were tested in samples classification. The cell lines discrimination was highly improved by PCA. These preliminary results suggested that UPLC/MS based approaches coupled with pattern recognition show promise for metabonomics. It is a potential and very promising technology for the classification of the cell lines.The liver tissue low molecular metabolites of nude mice were detected through metabonomics to explore the feasibility of metabonomics in the application of liver cancer transplantation tumor. Nude mice were randomly divided into control group and cancer group. After model of transplantation tumor was established, the liver was collected and low molecular metabolites were detected. Compared to control group, the intensity of LPC (16:0), LPC (17:0), LPC (18:0), LPC (19:0) and 5-methyltetrahydrofolic acid were lower. Low molecular metabolites in liver detected through metabonomics are related to liver cancer status.The serum low molecular metabolites of nude mice were detected through metabonomics and compared to the liver tissue. The serum samples were analyzed by using UPLC/Q-TOF MS and small molecules metabolite profiles from serum were obtained. Compared to control group, the intensity of leucine, fragment of phenylalanine, fragment of tryptophan, LPC (16:0), LPC (17:0), LPC (18:2), LPC (18:1), LPC (18:0), LPC (20:1), LPC (20:0), LPE (18:0) were lower. Low molecular metabolites in serum detected through metabonomics are related to liver cancer status. Metabonomics can be recognized as a technique for evaluating liver cancer.