代谢组学研究中，性别、年龄、饮食习惯等众多因素会影响着生物样本中代谢物的组成与含量，导致相关研究结果出现显著性的变化。前期工作中我们发现维吾尔族和汉族大学生健康人群尿液代谢轮廓间存在一定差异，而且肝脾气虚症标志物在维吾尔族健康人群中表达偏高，这表明在多民族共聚地区，族别因素会对疾病代谢组学研究带来严重干扰。新疆是全国传染病、地方病及慢性非传染病高发区，发病人群表现出一定的民族性，为深入研究新疆高发病发病机理，提高相关生物标志物的可靠性，本申请拟采用GC-MS、HPLC-MS/MS等分析手段，系统研究维吾尔族、汉族、哈萨克族和回族等四个新疆主要民族健康人群尿液中小分子代谢物，进行尿液轮廓分析，寻找族别、年龄、性别等因素导致的尿液中代谢物间的差异及其分布规律，发现和鉴定差异代谢物，建立相关代谢物控制库，为新疆高发病早期诊断与疗效评价相关相关标志物的筛选提供关键物质基础。

In metabonomic studies, various biological factors can affect the metabolic composition of biological fluids and lead to significant variability. In our previous study, it was found that there is existing difference between the urine profiles of Han and Uighur undergraduates. Most importantly, α-N-Phenylacetyl-L-Glutamine, a potential biomarkers of liver-stagnation and spleen-deficiency syndrome (LSS)-type disease, was expressed in Uighur undergraduates. The results indicated that the factor of ethic should be taken into accounts seriously in multi-ethnic co-existed region. Although Xinjiang is a high incidence area of infectious diseases, endemic diseases and noncommunicable diseases in China, the incidence of one exact disease was generally concentrated on a certain ethic group. To further study on the pathogenic mechanism of endemic diseases and increase the reliability of identified potential biomarkers, small-molecule metabolitesin urine samples collected from four main ethic of Xinjiang, Uighur, Han, Kazak and Hui, will be comprehensively investigated based on GC-MS and HPLC-MSplatform in this work. Metabolic profiling analysis will be performed, and metabolites differentially expressed will be identified among groups of different ethnic, age and sex. Furthermore, a control database would be constructed containing these metabolites differential expressed. We hope our study can increase the accuracy of pre-diagnosis and the reliability of potential biomarker of endemic disease, and provide as a scientific basis for endemic study in Xinjiang.