Discovering significantly different metabolites between Han and Uygur two racial groups using urinary metabolomics in Xinjiang, China
Discovering significantly different metabolites between Han and Uygur two racial groups using urinary metabolomics in Xinjiang, China
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利用中国新疆的尿液代谢组学发现汉族和维吾尔族两个种族群体之间显着不同的代谢物
DOI：
10.1016/j.jpba.2018.11.016
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发表时间：
2019-02
影响因子：
3.4
通讯作者：
Wang Jide
中科院分区：
文献类型：
--
作者：
Shi Haizhu;Yuan Jie;Zhang Yi;Feng Shun;Wang Jide
该研究的主要目的是通过尿液代谢组学发现中国新疆两个主要种族汉族和维吾尔族之间存在显着差异的代谢物。采用气相色谱-质谱联用技术（GC 单键质谱）对 96 名汉族和 96 名维吾尔族的尿液样本进行了分析。采用多变量分析来研究种族、年龄和性别对尿代谢谱的影响。共鉴定出8种有助于区分汉族和维吾尔族的代谢物，包括苯乙酰谷氨酰胺、肌醇、d-半乳糖、核糖内酯、十八烷酸、半乳糖醇、苏糖酸和琥珀酸。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，临床上用作生物标志物的三种代谢物在两个种族的尿液样本中也存在差异表达。这表明在多种族共存地区做出诊断结果时应严格考虑种族效应，以减少上述生物标志物造成的假阳性率。此外，结果表明年龄和性别也会影响尿液代谢组学特征，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测试、了解疾病的机制、设计临床试验和完善多种族共存地区的精准医疗提供一些帮助。
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 (GCsingle bondMS). 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.
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HMDB：人类代谢组数据库。
影响因子：
14.9
作者：
Wishart, David S;Tzur, Dan;Knox, Craig;Eisner, Roman;Guo, An Chi;Young, Nelson;Cheng, Dean;Jewell, Kevin;Arndt, David;Sawhney, Summit;Fung, Chris;Nikolai, Lisa;Lewis, Mike;Coutouly, Marie-Aude;Forsythe, Ian;Tang, Peter;Shrivastava, Savita;Jeroncic, Kevin;Stothard, Paul;Amegbey, Godwin;Block, David;Hau, David D;Wagner, James;Miniaci, Jessica;Clements, Melisa;Gebremedhin, Mulu;Guo, Natalie;Zhang, Ying;Duggan, Gavin E;Macinnis, Glen D;Weljie, Alim M;Dowlatabadi, Reza;Bamforth, Fiona;Clive, Derrick;Greiner, Russ;Li, Liang;Marrie, Tom;Sykes, Brian D;Vogel, Hans J;Querengesser, Lori
通讯作者：
Querengesser, Lori
影响因子：
2.1
作者：
Aikebaier Wumaner;Aziguli Keremu;Dilixiati Wumaier;Qing Wang
通讯作者：
Aikebaier Wumaner;Aziguli Keremu;Dilixiati Wumaier;Qing Wang
DOI：
10.1016/s0026-0495(99)90271-8
发表时间：
1999-10
期刊：
Metabolism: clinical and experimental
影响因子：
--
作者：
Michael J. Palmieri;Alice T. Mazur;Gerard T. Berry;C. Ning;Suzanne Wehrli;C. Yager;Robert Reynolds;Rani H. Singh;Kasinathan Muralidharan;Sharon D. Langley;L. J. Elsas;Stanton Segal
通讯作者：
Michael J. Palmieri;Alice T. Mazur;Gerard T. Berry;C. Ning;Suzanne Wehrli;C. Yager;Robert Reynolds;Rani H. Singh;Kasinathan Muralidharan;Sharon D. Langley;L. J. Elsas;Stanton Segal
影响因子：
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作者：
F. Eisenberg;R. Parthasarathy
通讯作者：
F. Eisenberg;R. Parthasarathy
影响因子：
4.1
作者：
Teubel, Juliane;Wuest, Bernhard;Parr, Maria Kristina
通讯作者：
Parr, Maria Kristina