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The fecal metabolome is associated with gestational diabetes mellitus

机译:粪便代谢物与妊娠期糖尿病有关

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摘要

Dysbiosis of gut microbiota has been linked to gestational diabetes mellitus (GDM), and grows as a resource for GDM biomarkers. However, the contributions of gut microbiota to GDM remain incompletely understood. Metabolites are key messengers in the interactions between gut microbiota and the host. Metabolomics is emerging as an essential tool in exploring the contributions of gut microbiota to diseases. In this study, we performed H-1-NMR based metabolomics on the feces of 62 pregnant women, including 31 women with GDM, and 31 women as the non-diabetes (NDM) control. Using Principle Component Analysis (PCA) and Orthogonal Projection to Latent Structures Discrimination Analysis (OPLS-DA), we observed clear cluster separation of the fecal metabolome between women with GDM and the NDM control. We further applied several feature selection methods to find five fecal metabolites contributing to the cluster separation of the fecal metabolome. These five metabolites, namely dibutyl decanedioate, N-acetylgalactosamine-4-sulphate, homocysteine, l-malic acid, and butanone, were significantly correlated with the clinical indices of GDM. Metabolite enrichment and pathway analysis on the five metabolites suggested that the fecal citrate cycle and sulfur metabolism were correlated with GDM. The results of this study demonstrated that disorders in the fecal metabolome are associated with GDM.
机译:肠道微生物瘤的脱瘤与妊娠期糖尿病(GDM)有关,并作为GDM生物标志物的资源生长。然而,肠道微生物症对GDM的贡献仍然不完全了解。代谢物是肠道微生物群和主持人之间相互作用的关键信使。代谢组学正作为探索肠道微生物症患者疾病的重要工具。在这项研究中,我们对62名孕妇的粪便进行了基于H-1-NMR的代谢组学,其中31名患有GDM的女性和31名女性作为非糖尿病(NDM)控制。使用原理分析分析(PCA)和正交投影对潜在结构辨别分析(OPLS-DA),我们观察到患有GDM和NDM控制的妇女粪便代谢的明确聚类分离。我们进一步应用了几种特征选择方法,找到了五种粪便代谢物,促成了粪便代谢组的聚类分离。这五种代谢物,即二丁基癸二酸酯,N-乙酰甘酰胺-4-硫酸盐,同催胱氨酸,L-苹果酸和丁酮与GDM的临床指标显着相关。对五种代谢产物的代谢物富集和途径分析表明粪便柠檬酸盐循环和硫代谢与GDM相关。该研究的结果表明,粪便代谢物中的病症与GDM相关。

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    《RSC Advances》 |2019年第51期|共7页
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  • 正文语种 eng
  • 中图分类 化学;
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