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Connections between the human gut microbiome and gestational diabetes mellitus

机译:人体肠道微生物组与妊娠糖尿病之间的联系

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The human gut microbiome can modulate metabolic health and affect insulin resistance, and it may play an important role in the etiology of gestational diabetes mellitus (GDM). Here, we compared the gut microbial composition of 43 GDM patients and 81 healthy pregnant women via whole-metagenome shotgun sequencing of their fecal samples, collected at 21–29 weeks, to explore associations between GDM and the composition of microbial taxonomic units and functional genes. A metagenome-wide association study identified 154?837 genes, which clustered into 129 metagenome linkage groups (MLGs) for species description, with significant relative abundance differences between the 2 cohorts. Parabacteroides distasonis, Klebsiella variicola , etc., were enriched in GDM patients, whereas Methanobrevibacter smithii, Alistipes spp., Bifidobacterium spp., and Eubacterium spp. were enriched in controls. The ratios of the gross abundances of GDM-enriched MLGs to control-enriched MLGs were positively correlated with blood glucose levels. A random forest model shows that fecal MLGs have excellent discriminatory power to predict GDM status. Our study discovered novel relationships between the gut microbiome and GDM status and suggests that changes in microbial composition may potentially be used to identify individuals at risk for GDM.
机译:人类肠道微生物组可以调节代谢健康并影响胰岛素抵抗,并且可能在妊娠糖尿病(GDM)的病因中起重要作用。在这里,我们通过对21-29周收集的粪便样本进行全基因组shot枪测序,比较了43名GDM患者和81名健康孕妇的肠道微生物组成,以探讨GDM与微生物分类单位和功能基因组成之间的关联。一项全基因组关联研究确定了154?837个基因,这些基因聚集成了129个元基因组连锁组(MLG)以进行物种描述,这两个队列之间的相对丰度差异显着。 GDM患者中富含副杆菌,水纹克雷伯菌等,而史密斯短杆菌,阿利培斯菌,双歧杆菌和真细菌则富集。丰富了控件。富含GDM的MLG与富含对照的MLG的总丰度之比与血糖水平呈正相关。随机森林模型显示,粪便MLG具有出色的辨别力,可预测GDM状态。我们的研究发现了肠道微生物组与GDM状态之间的新颖关系,并暗示微生物组成的变化可能潜在地用于识别具有GDM风险的个体。

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