Metabonomics-Based Study of Clinical Urine Samples in Suboptimal Health with Different Syndromes

Hai-Zhen Cui,Li-Min Wang,You-Ming Jiang,Xiao-Hong Li,Yue-Yun Liu,Shao-Xian Wang,Jia-Xu Chen,Xin Zhao

doi:10.1155/2013/509134

Abstract

Objective. To explore the urinary biochemistry features of syndromes of traditional Chinese medicine (TCM) such as syndrome of stagnation of liver Qi, spleen deficiency, liver Qi stagnation, and spleen deficiency (LSSDS) in sub-optimal health status (SHS). Methods. 12 cases for each syndrome group in SHS were selected, 12 subjects were used as a normal control group, and 1H NMR detection was, respectively, carried out, and the data was corrected by the orthogonal signal correction (OSC) and then adopted a partial least squares (PLS) method for discriminate analysis. Results. The OSC-PLS (ctr) analysis results of the nuclear overhauser enhancement spectroscopy (NOESY) detection indicated that the syndromes in SHS could be differentiated, and there were significant differences in the levels of metabolites of the urine samples of the four groups; the biomarkers of LSSDS in SHS were found out. The contents of citric acid (2.54 and 2.66), trimethylamineoxide (3.26), and hippuric acid (3.98, 7.54, 7.58, 7.62, 7.66, 7.82, and 7.86) in the urine samples of LSSDS group were lower than that of the normal control group. Conclusion. There are differences in the 1H-NMR metabolic spectrum of the urine samples of the four groups, and the specific metabolic products of the LSSDS in SHS can be identified from metabonomics analysis.

Highlights

Since 1984, when the WHO gave the de nition to health as paying attention to “the state of complete physical, mental and social well-being” in its “Charter,” the research on the “third state” has been carried out widely at home and abroad
It can be seen from the scores plot (Figure 3(a)) that these two groups of samples can be well separated along the tt1 axis, with no overlap and duplication. is indicates that the two groups have differences in the metabolic phenotypes, and the intergroup difference is signi cant
We can see from the loadings plot (Figure 3(b)) that most points are concentrated near the origin, and only a few points are away from the origin, which represent the compounds that resulted in the differences between the two groups

Summary

Introduction

Since 1984, when the WHO gave the de nition to health as paying attention to “the state of complete physical, mental and social well-being” in its “Charter,” the research on the “third state” has been carried out widely at home and abroad. E state of having no “disease” but having the “syndromes” of Suboptimal health has made the current treatment mainly based on the approach of Traditional Chinese Medicine. It was found by the clinical epidemiological survey that 60%–70% of people in China are in SHS; the incidences of syndrome of stagnation of liver i and spleen de ciency among the population of SHS are high and can be up to 17.25 [2], and the incidence of the syndrome in those surveyed on the population of SHS in General Hospitals can be even up to 45.85% [3]. Our previous studies have shown that [13], through the analysis of the 1H NMR spectrum of the plasma of model rats with chronic restraint stress-induced syndrome of stagnation of liver i and spleen de ciency, the changes in the spectral peak shape of acetic acid, lactic acid, tyrosine

Methods

Results

Conclusion