关键词: 代谢组学；高效液相色谱-电喷雾-飞行时间质谱联用技术；模式识别；高血压病

Abstract:

Objective   To study the changes of plasma metabolites in hypertension patient and healthy volunteers to identify  possible biomarkers, and reveal the nature of hypertension. Method   According to the diagnostic criteria of hypertension，10 typical cases were selected and 12 healthy volunteers were recruited.  Plasma metabolites were analyzed by high performance liquid chromatography coupled with time of flight mass spectrometry. The data were matched and aligned by Mass-Profiler, and the result was saved as a TXT file for analysis of pattern recognition. Simca-P 11.0 Software was used for principal component analysis (PCA) and partial least squares discriminant analysis (PLSDA). Different plasma metabolites were searched and  possible explanations of the relevant metabolic pathways were made. Results  The data of the plasma metabolites by the analysis of PCA and PLS-DA shows that two sets of data from HPLC-ESI-TOFMS can be clearly separated. Compared to the healthy volunteers, significant changes  had  taken place in the hypertension patients. Conclusion   The metabolomics method of HPLC-ESI-TOFMS combined  with pattern recognition has advantages in studying pathophysiological changes of the body under the complicated conditions. The study provideda scientific basis for understanding the biological nature of hypertension and the diagnosis.

Key words:  Metabonomics; High performance liquid chromatography coupled with time of flight mass spectrometry; Pattern recognition; Hypertension