Plasma fatty acids metabolic profiling analysis of coronary heart disease based on GC-MS and pattern recognition.
A simple approach for comprehensive profiling of fatty acids in human plasma based on gas chromatography-mass spectrometry (GC-MS) was described and validated. With this method, plasma fatty acid metabolic profiles of 23 coronary heart disease (CHD) patients and 25 healthy subjects were determined. Pattern recognition technology was used to establishing differences in the metabolic profiles of these two groups. Furthermore, CHD patients with two different patterns in Traditional Chinese Medicine clinical practices could be classified by the corresponding metabolic profiles, and several potential biomarkers were discussed.
Zheng
Xintian
X
College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, People's Republic of China.
Shen
Jie
J
Liu
Qiang
Q
Wang
Shufang
S
Cheng
Yiyu
Y
Qu
Haibin
H
D000368:Aged; D000369:Aged, 80 and over; D015415:Biomarkers / Q000097:blood / Q000378:metabolism; D001769:Blood / Q000378:metabolism*; D016022:Case-Control Studies; D003327:Coronary Disease / Q000378:metabolism*; D004355:Drug Stability; D004356:Drug Storage; D005227:Fatty Acids / Q000378:metabolism*; D005260:Female; D005615:Freezing; D008401:Gas Chromatography-Mass Spectrometry / Q000379:methods*; D006801:Humans; D016018:Least-Squares Analysis; D008297:Male; D008516:Medicine, Chinese Traditional; D055442:Metabolome / Q000502:physiology*; D008875:Middle Aged; D015999:Multivariate Analysis; D025341:Principal Component Analysis; D012015:Reference Standards; D015203:Reproducibility of Results; D012997:Solvents / Q000737:chemistry
D015415:Biomarkers; D005227:Fatty Acids; D012997:Solvents