title: [Plasma fatty acid metabolic profiles for traditional Chinese medicine syndrome differentiation in diabetic patients using uncorrelated linear discriminant analysis].
abstract: Diabetes is a common metabolic syndrome which presents a serious threat to human health. Traditional Chinese medicine (TCM) has been widely paid attention to its advantages and characteristics in the diagnosis and the treatment of diabetes. A strategy of classifying five TCM syndromes in diabetes (Qi-deficiency, Yin-deficiency, Qi- and Yin-deficiency, Damp heat and Blood stasis) was employed based on plasma fatty acid metabolic profiles, lipid metabolism indicators and chemometrics methods. Using orthogonal signal correction-partial least squares (OSC-PLS) method, the five syndromes were obviously distinguished from those of the health control, which confirmed there existed metabolite differences in different traditional Chinese medicine syndromes. Furthermore, a new method, uncorrelated linear discriminant analysis (ULDA), was applied in the discrimination of health control, TCM deficiency syndromes (Qi-deficiency, Yin-deficiency, Qi- and Yin-deficiency) and TCM empirical syndromes (Damp heat, Blood stasis), which demonstrated better clustering results, the correct rate reached 95.7%. The four potential biomarkers, C20: 2, C20: 5, triglycerides (TG) and high density lipoprotein (HDL), performed large contributions to the classification which can provide important information assisting TCM clinical diagnosis.
authors.affiliation: CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
authors.forename: Wenjuan
authors.initials: W
authors.lastname: Xu
authors.forename: Liangxiao
authors.initials: L
authors.lastname: Zhang
authors.forename: Yuhong
authors.initials: Y
authors.lastname: Huang
authors.forename: Qianxu
authors.initials: Q
authors.lastname: Yang
authors.forename: Hongbin
authors.initials: H
authors.lastname: Xiao
authors.forename: Deqin
authors.initials: D
authors.lastname: Zhang
mesh_terms: D002851:Chromatography, High Pressure Liquid / Q000379:methods*; D003920:Diabetes Mellitus / Q000097:blood / Q000175:diagnosis*; D003937:Diagnosis, Differential; D005227:Fatty Acids / Q000097:blood*; D006801:Humans; D008516:Medicine, Chinese Traditional / Q000379:methods*; D055442:Metabolome; D055432:Metabolomics / Q000379:methods; D017711:Nonlinear Dynamics
chemical_list: D005227:Fatty Acids