Metabolomics Study of Erzhiwan Against Normal Rat Kidney Cell Senescence Based on GC-MS

OBJECTIVE To investigate the changes of endogenous metabolites in senile rat kidney cells (NRK) induced by D-galactose， to find metabolic biomarkers related to aging and to explore the regulation of Erzhiwan on aging model and the anti-aging effect of Erzhiwan. METHODS The senescence model was constructed by D-galactose (D-gal). The gas chromatography-mass spectrometry (GC-MS) technique was used to determine the cell samples in each group. Univariate statistical analysis was performed using the Kruskal-Wallis nonparametric test and Dunn's multiple comparison. RESULTS PLS-DA pattern recognition analysis showed that the cell samples of the control group， the model group and the EZW group could be well distinguished. A total of 31 potential biomarkers were identified， and the endogenous metabolite levels of the senescent NRK cells were varying degrees of callbacks after the administration of the drug-containing serum. CONCLUSION Erzhiwan could restore the abnormal metabolism of D-galactose-induced senescent NRK cells， and its therapeutic effect may be related to the regulation of 31 metabolites and 10 related metabolic pathways.