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二至丸抗大鼠肾细胞衰老的GC-MS代谢组学研究
引用本文:徐佳,刘其南,翟园园,冯丽,谢彤,姚卫峰,张丽. 二至丸抗大鼠肾细胞衰老的GC-MS代谢组学研究[J]. 南京中医药大学学报, 2019, 35(4): 458-464
作者姓名:徐佳  刘其南  翟园园  冯丽  谢彤  姚卫峰  张丽
作者单位:1.江苏省儿童呼吸疾病中医药重点实验室,南京中医药大学中医儿科学研究所,江苏 南京?210023
摘    要:目的?研究D-半乳糖诱导的衰老大鼠肾细胞(NRK)内源性代谢物的变化,寻找与衰老有关的代谢生物标志物,探讨二至丸对衰老模型的调节作用及其抗衰老的可能机制。方法?采用D-半乳糖复制NRK细胞衰老模型,借助气相色谱-质谱联用(GC-MS)技术,对各组细胞样本进行测定,采用Kruskal-Wallis非参数检验及Dunn's多重比较进行单变量统计分析来筛选差异性代谢物。结果?经PLS-DA模式识别分析,对照组、模型组和EZW组细胞样本能够得到很好的区分,共鉴定出31种潜在生物标志物,二至丸含药血清给药后衰老NRK细胞胞内的内源性代谢物水平发生不同程度的回调。结论?二至丸可以使D-半乳糖诱导的衰老NRK细胞胞内的异常代谢有所恢复,其治疗作用可能与机体内31个代谢物及10条相关代谢通路的调节有关。 

关 键 词:衰老   二至丸   细胞代谢组学   GC-MS   大鼠肾细胞   含药血清

Metabolomics Study of Erzhiwan Against Normal Rat Kidney Cell Senescence Based on GC-MS
XU Ji,LIU Qi-nan,ZHAI Yuan-yuan,FENG Li,XIE Tong,YAO Wei-feng,ZHANG Li. Metabolomics Study of Erzhiwan Against Normal Rat Kidney Cell Senescence Based on GC-MS[J]. Journal of Nanjing University of Traditional Chinese Medicine(Natural Science), 2019, 35(4): 458-464
Authors:XU Ji  LIU Qi-nan  ZHAI Yuan-yuan  FENG Li  XIE Tong  YAO Wei-feng  ZHANG Li
Affiliation:1.Jiangsu Key Laboratory of Pediatric Respiratory Disease, Institute of Pediatrics, Nanjing University of Chinese Medicine, Nanjing, 210023, China2.Medical Metabolomics Center, Nanjing University of Chinese Medicine, Nanjing, 210023, China3.Jiangsu Key Laboratory for High Technology Research of TCM Formulae and Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, 210023, China
Abstract: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. 
Keywords:senescence   Erzhiwan   cell metabolomics   GC-MS   normal rat kidney cell   drug-containing serum
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