RESUMEN
Based on GC-MS metabolomics and biochemical index analysis, the mechanism of bone mass loss in osteoporosis and the evaluation of anti-osteoporosis in Eucommiae Cortex were studied. The OVX rats model was established by bilateral ovariectomized. The routine indexes such as BMC, BMD, BGP and TRAP5 b were determined. The GC-MS technique was used to analyze the metabolism profile of serum samples between the control group, model group and medicine group, and multiple statistical analysis methods including principal component analysis(PCA), partial least squares-linear discriminant analysis(PLS-LDA) and subwindow rearrangement analysis(SPA) were used to screen and identify biomarkers. Five metabolites were selected as potential biomarkers, glycine, lysine, tryptophan, docosahexaenoic acid and glucose. Except for the significant increase of tryptophan in serum of OVX rats, the other four metabolites were significantly decreased. Moreover, the five biomarkers of the medicine group had a trend of returning to rats in control group. The significantly altered metabolite levels indicated that Eucommiae Cortex may relieve the symptoms of osteoporosis by regulating amino acid metabolism and oxidative stress.