WEI Xing1, WAN Ling1, LIU Shimi 1, et al. Plasma Metabolomics Study on Blood Stasis Syndrome of Coronary Heart Disease[J]. Journal of Traditional Chinese Medicine2013, 54(7): 587-591.
WEI Xing1, WAN Ling1, LIU Shimi 1, et al. Plasma Metabolomics Study on Blood Stasis Syndrome of Coronary Heart Disease[J]. Journal of Traditional Chinese Medicine2013, 54(7): 587-591.DOI: 10.13288/j.11-2166/r.2013.07.014.
Plasma Metabolomics Study on Blood Stasis Syndrome of Coronary Heart Disease
Objective To search the endogenous metabolites moleculer makers in plasma of coronary heart disease(CHD) patients with blood stasis syndrome by gas chromatography(GC)-mass spectrometry(MS)technique.Methods Forty-eight CHD patients with blood stasis syndrome
52CHD patients without blood stasis syndrome and 40healthy persons were involved in the research.The plasma metabolites were detected by GC-MS technique.The metabolite contents were compared with t-test and Monte-Carlo tree method.Results There were 46types of metabolites without difference among the subjects.There were significant differences between CHD patients and healthy persons in the contents of 32types of metabolites(P< 0.05or P<0.01).Comparing with CHD patients without blood stasis syndrome
the cholesterol content was significantly increased but the xylitol content was significantly decreased in CHD patients with blood stasis syndrome(P<0.05).The plasma metabolites were completely separated in healthy persons and CHD patients.L-valine
glycine
alanine and L-serine were the greatest contribution to the separation and their contents in CHD patients were significantly decreased as compared with those in the healthy persons.There was a significant separation trend between blood stasis syndrome and non-blood stasis syndrome and 44types of metabolites had a significant effect on the classification.Conclusion The plasma GS-MS metabolite profiles can effectively distinguish CHD patients from healthy persons and distinguish blood stasis syndrome in CHD patients.The substances of different content and contributing to classification may be the potential metabolic marker and objective indicators for diagnosing as CHD with blood stasis syndrome.
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