School of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, China; Key Laboratory of Oil Gas & Fine Chemicals, Ministry of Education and Xinjiang Uyghur Autonomous Region, College of Chemistry and Chemical Engineering, Xinjiang University, Urumqi, 830046, China.
School of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
J Pharm Biomed Anal. 2019 Feb 5;164:481-488. doi: 10.1016/j.jpba.2018.11.016. Epub 2018 Nov 11.
The main object of the study was to discover the associated significantly different metabolites between Han and Uygur, two main racial groups in Xinjiang, China with urinary metabolomics. Urine samples from 96 Han and 96 Uygur were analyzed using gas chromatography coupled to mass spectrometry (GCMS). Multivariate analysis was used to investigate the effect of race, age and gender on the urinary metabolomic profiles. Totally eight metabolites are identified contributed to the discrimination between Han and Uygur, including phenylacetylglutamine, myoinositol, d-galactose, ribonolactone, octadecanoic acid, galactitol, threonic acid and succinic acid. The metabolic pathways of them are mainly involved in carbohydrate, TCA cycle, fatty acid and mammalian gut microbial-related metabolism. Importantly, three metabolites, being used as biomarkers in clinic, are also differentially expressed in urine samples of two races. It suggests that the race effect should be critically considered prior to make diagnostic result in multi-race coexisted areas to decrease the false positive rate caused by above biomarkers. Moreover, the results show that the age-period and the gender also affect the urinary metabolomics profiles, but with different levels compared to race. We hope that the work can provide some help for developing novel diagnostic tests, understanding the mechanism of disease, designing clinical trials and refining precision medicine in multi-race coexisted areas.
本研究的主要目的是通过尿代谢组学研究，发现中国新疆主要种族汉族和维吾尔族之间的相关差异代谢物。对 96 例汉族和 96 例维吾尔族的尿样进行气相色谱-质谱联用（GCMS）分析。采用多元分析方法研究种族、年龄和性别对尿代谢组图谱的影响。总共鉴定出 8 种代谢物有助于区分汉族和维吾尔族，包括苯乙酰谷氨酰胺、肌醇、D-半乳糖、核糖醇、十八烷酸、半乳糖醇、苏氨酸和琥珀酸。它们的代谢途径主要涉及碳水化合物、TCA 循环、脂肪酸和哺乳动物肠道微生物相关代谢。重要的是，三种作为临床生物标志物的代谢物在两个种族的尿样中也有差异表达。这表明在多种族共存地区做出诊断结果之前，应严格考虑种族影响，以降低上述生物标志物导致的假阳性率。此外，研究结果表明，年龄-时期和性别也会影响尿代谢组学图谱，但与种族相比，影响程度不同。我们希望这项工作能够为开发新的诊断检测方法、了解疾病机制、设计临床试验和完善多种族共存地区的精准医学提供一些帮助。
