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人类肠道微生物群与妊娠期糖尿病之间的联系。

Connections between the human gut microbiome and gestational diabetes mellitus.

作者信息

Kuang Ya-Shu, Lu Jin-Hua, Li Sheng-Hui, Li Jun-Hua, Yuan Ming-Yang, He Jian-Rong, Chen Nian-Nian, Xiao Wan-Qing, Shen Song-Ying, Qiu Lan, Wu Ying-Fang, Hu Cui-Yue, Wu Yan-Yan, Li Wei-Dong, Chen Qiao-Zhu, Deng Hong-Wen, Papasian Christopher J, Xia Hui-Min, Qiu Xiu

机构信息

Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Road, Guangzhou 510623, China.

Department of Women and Children's Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 9 Jinsui Road, Guangzhou 510623, China.

出版信息

Gigascience. 2017 Aug 1;6(8):1-12. doi: 10.1093/gigascience/gix058.

Abstract

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.

摘要

人类肠道微生物群可调节代谢健康并影响胰岛素抵抗,其可能在妊娠期糖尿病(GDM)的病因学中发挥重要作用。在此,我们通过对43例GDM患者和81例健康孕妇在孕21 - 29周采集的粪便样本进行全宏基因组鸟枪法测序,比较了两者的肠道微生物组成,以探索GDM与微生物分类单元及功能基因组成之间的关联。一项宏基因组全关联研究鉴定出154837个基因,这些基因聚集成129个宏基因组连锁群(MLG)用于物种描述,两个队列之间存在显著的相对丰度差异。在GDM患者中,狄氏副拟杆菌、可变克雷伯菌等菌属丰度增加,而在对照组中,史氏甲烷短杆菌、阿利斯杆菌属、双歧杆菌属和真杆菌属丰度增加。GDM富集的MLG与对照组富集的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对预测GDM状态具有出色的判别能力。我们的研究发现了肠道微生物群与GDM状态之间的新关系,并表明微生物组成的变化可能潜在地用于识别GDM风险个体。

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