慢性肾衰尿液样本代谢组学研究

Metabonomics Studies on Urine Specimens from Patients with Chronic Renal Failure

研究基于气-质联用(GC-MS)技术的尿液代谢组学预处理方法,对慢性肾功能衰竭患者与正常对照组人群尿液样本进行代谢组学研究。收集慢性肾功能衰竭患者尿液样本54例;正常对照组尿液样本25例。对所有样本采用以葵酸作为内标的硅烷化衍生反应,及GC-MS分析测试方法得到谱图之后,通过层次聚类分析和主成份分析及ROC曲线比较慢性肾功能衰竭与正常对照组之间谱峰的差异性,并利用NIST谱库、Mainlib数据库和Wiley数据库鉴定差异性代谢产物。慢性肾衰患者和正常人的尿液样本,共筛选出有显著性差异(P<0.05)的峰有8个。其代谢物为:肌醇、L(-)-阿卓糖、D-呋喃木糖、己糖醇、核糖酸、2-甲氧羰基-3-甲基-3-丁烯酸甲酯、丙酸、廿二烷。此结果显示气-质联用(GC-MS)技术能为慢性肾衰的物质基础进行标志物的筛选,为慢性肾功能衰竭诊断研究提供一定的科研思路与方法。

We performed metabolism studies on the urine specimens using gas chromatography - mass spectrometry （GC -MS） technology. Through comparing samples from patients with chronic renal failure and healthy control people, we evaluated the correlation of metabolic changes in urine with normal people for patients with chronic renal failure. Fifty - four urine specimens from Chronic renal failure patients and 25 urine specimens from healthy people were collected. After the specimens had sitylation derivatization reaction with capric acid as the interior label and measured with GC - MS method, the spectrum was plotted. The difference of peaks between damp symptom group, non - damp symptom group and control group was compared with hierarchical cluster analysis, principal component analysis and ROC curve, and the different metabolic products were identified based on NIST spectral library, Mainlib database and Wiley database. After silylation derivatization reaction and GC - MS analysis, in the specimens from chronic renal failure and healthy control, 8 peaks were identified to be statistically different by 2 - tailed 2 - sample t - test （P 〈0.05 ）. Based on the NIST spectral library, Mainlib database and Wiley database, the metabolic products were identified to be： inositol, L（ - ） -altrose, D - furan xylose, hexitol, ribonic acid, 2 - carbomethoxy - 3 7 methyl - 3 - methyl crotonate, propionic acid, and docosanate. There was a significant difference between the chronic renal failure group and the healthy group. The identification results of the metabolic products were the same as those of hierarchical cluster analysis and principal component analysis. GC - MS technology could provide novel researching idea and method for the identification of markers for the material basis of syndromes of chronic renal failure in Traditional Chinese Medicine, and for the micro - oriented and objective study.