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The fecal metabolome is associated with gestational diabetes mellitus

机译:粪便代谢组与妊娠糖尿病有关

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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 ~(1) H-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:肠道菌群的营养不良与妊娠糖尿病(GDM)有关,并且作为GDM生物标记物的一种资源而增长。然而,肠道菌群对GDM的贡献仍未完全了解。代谢物是肠道菌群与宿主之间相互作用的关键信使。代谢组学正在成为探索肠道菌群对疾病的贡献的重要工具。在这项研究中,我们对62名孕妇的粪便进行了〜(1)基于H-NMR的代谢组学研究,其中包括31名GDM妇女和31名非糖尿病(NDM)对照妇女。使用主成分分析(PCA)和正交投影进行潜在结构鉴别分析(OPLS-DA),我们观察到GDM和NDM对照女性之间粪便代谢组的清晰簇分离。我们进一步应用了几种特征选择方法,以发现有助于粪便代谢组簇分离的五种粪便代谢物。这五个代谢物,即癸二酸二丁酯,N-乙酰半乳糖胺-4-硫酸盐,高半胱氨酸,L-苹果酸和丁酮与GDM的临床指标显着相关。 5种代谢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有关。这项研究的结果表明,粪便代谢组疾病与GDM有关。

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