Abstract: OBJECTIVE Discussion on the application of GC-MS to study the metabolic fingerprinting of serum in pneumonia group with syndrome of wind-cold in order to provide data support for the quantitative study of syndromes in TCM. METHODS In the study of patients with wind-cold(WC) in 30 cases，the normal healthy (NH)in 30 cases，Serum samples were collected and serum metabolites profiles were analyzed by GC-MS coupled with a couple of statistical analyses. RESULTS Clear separations between WC and NH existed. Differential metabolites and several metabolic pathways related organic acids，amino acids，fat were identified. Compared with NH group， the levels of organic acids，amino acids，fat were upregulated，such as L-Alanine， L-Aspartic acid， L-Glutamic acid， Glycine， Serine， L-Threonine， Taurine， L-Lysine，and D-2-Aminobutyric acid， Glycolic acid， Glycerol， 1-Monopalmitin， cholesterol， d-Glucose were down in serum with WC group.And， five abnormal metabolic pathways， such as Alanine metabolism，Glycine metabolism， Taurine metabolism，aa-tRNA biosynthesis and Lysine degradation were identified. CONCLUSION This study detected abnormal metabolites and pathways in WC，which may be due to multiple energy metabolism pathways-virus infected;taking advantage of metablomic techniques，we may establish Characterized Spectrum Database in pediatric viral pneumonia and syndrome differentiation pattern standardization of TCM so as to provide the useful methods in study of syndrome standardization.