Characterizing metabolite profiles and biomarkers of cerebral infarction using gas chromatography-mass spectrometry and random forests
Cerebral infarction (CI) is brain dysfunction which is one of the most common cardiovascular disease.Till now, the disease pathogenesis is complex and still unclear.Metabolic profiling is a great tool in metabolism research which can discover potential biomarkers.Thus, it has high value on pathophysiological mechanism illumination of CI.In this study, 38 healthy controls and 38 CI patients, were employed by gas chromatography-mass spectrometry to characterize metabolite profiles and disturbances and find potential biomarkers of CI.Random forests (RF), a supervised multivariate statistical method, was established for classification model.As the results show: (1) 34 endogenous metabolites were found in serums;(2) three groups including healthy control (HC), cerebral infarction (CI) and quality control (QC) were totally srparated by RF;(3) L-Lysine, Octadecanoic acid, L-Tyrosine and Lactic acid were detected as potential biomarkers for CI.
Cerebral infarction Biomarkers Metabolite profiles Gas chromatography-mass spectrometry Random forests
Hong Xiao Yu-pei Yang Ming-jiao Li Jian-hua Huang Bin Li Wei Wang
TCM and Ethnomedicine Innovation & Development Laboratory, Sino-Luxemburg TCM Research Center, School of Pharmacy, Hunan University of Chinese Medicine, Changsha, 410208, P.R.China
国内会议
中华中医药学会医院药学分会暨湖南省中医药学会中药专业委员会2016学术年会
长沙
英文
67-71
2016-10-28（万方平台首次上网日期，不代表论文的发表时间）