Metabonomics studies on urine specimens from patients with chronic renal failure

Abstract

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 syndromes in Traditional Chinese Medicine (TCM) for patients with chronic renal failure. Methods ifty-four urine specimens from chronic renal failure patients and 25 urine specimens from healthy people were collected. After the specimens had silylation derivatization reaction with capric acid as the interior label and measured with GC-MS method, the spectrum was plotted.(1) 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. There was a significant difference between the chronic renal failure group and healthy group. The identification results of the metabolic products were the same as those of hierarchical cluster analysis and principal component analysis.