Discrimination of Type 2 diabetic patients from healthy controls by using metabonomics method based on their serum fatty acid profiles.
Metabonomics, the study of metabolites and their roles in various disease states, is a novel methodology arising from the post-genomics era. This methodology has been applied in many fields, including work in cardiovascular research and drug toxicology. In this study, metabonomics method was employed to the diagnosis of Type 2 diabetes mellitus (DM2) based on serum lipid metabolites. The results suggested that serum fatty acid profiles determined by capillary gas chromatography combined with pattern recognition analysis of the data might provide an effective approach to the discrimination of Type 2 diabetic patients from healthy controls. And the applications of pattern recognition methods have improved the sensitivity and specificity greatly.
Yang
Jun
J
National Chromatographic R. and A. Center, Dalian Institute of Chemical Physics, Chinese Academy of Science, 116011 Dalian, P.R. China.
Xu
Guowang
G
Hong
Qunfa
Q
Liebich
Hartmut M
HM
Lutz
Katja
K
Schmülling
R-M
RM
Wahl
Hans Günther
HG
D016022:Case-Control Studies; D002849:Chromatography, Gas / Q000379:methods; D003924:Diabetes Mellitus, Type 2 / Q000097:blood*; D005227:Fatty Acids / Q000097:blood*; D006801:Humans
D005227:Fatty Acids