Dong Lina, Han Lingna, Duan Tao, Lin Shumei, Li Jianguo, Liu Xiaojing
The First Affiliated Hospital of Xi'an JiaoTong University 277, Yanta West Road Xi'an 710061 PR China
Central Laboratory, Shanxi Provincial People's Hospital, Affiliate of Shanxi Medical University, Shanxi Provincial Clinical Research Center for Digestive Diseases Taiyuan 030012 PR China.
RSC Adv. 2020 Jan 9;10(4):2027-2036. doi: 10.1039/c9ra07799e. eCollection 2020 Jan 8.
Gestational diabetes mellitus (GDM) has been associated with circulating metabolic disorders and alterations in gut microbiota, respectively. Although changes in gut microbiota contribute to metabolic diseases, the connections between gut microbiota and the circulating metabolic state in GDM remain largely undetermined. To investigate the associations between gut microbiota and the circulating metabolome of GDM, we enrolled 40 pregnant women (20 with GDM and 20 non-diabetic control), and performed multi-omics association (MOA) study on 16s rRNA sequencing of fecal microbiota and H-NMR profiling of the plasma metabolome. The results suggested that both fecal microbiota and the plasma metabolome of the enrolled pregnant women could be separated along the vector of hyperglycemia. A close correlation between fecal microbiota and the plasma metabolome of GDM was observed by MOA approaches. Redundancy Analysis identified five plasma metabolites (glycerol, lactic acid, proline, galactitol and methylmalonic acid) and 98 members of fecal microbiota contributing to the close correlation between the plasma metabolome and fecal microbiota. Further spearman rank correlation analysis revealed that four out of five of the identified plasma metabolites (except galactitol) were correlated with hyperglycemia. Co-occurring network analysis suggested that 15 out of 98 of the members of fecal microbiota were positively correlated with each other, forming a co-occurring cohort (mainly consisted of the phylum Firmicutes). The results of this study demonstrated that alterations in fecal microbiota were associated with hyperglycemia related changes of the plasma metabolome of women with GDM, suggesting novel therapies against gut microbiota to alleviate GDM.
妊娠期糖尿病(GDM)分别与循环代谢紊乱和肠道微生物群改变有关。尽管肠道微生物群的变化会导致代谢疾病,但GDM中肠道微生物群与循环代谢状态之间的联系仍 largely未确定。为了研究肠道微生物群与GDM循环代谢组之间的关联,我们招募了40名孕妇(20名患有GDM,20名非糖尿病对照),并对粪便微生物群的16s rRNA测序和血浆代谢组的H-NMR分析进行了多组学关联(MOA)研究。结果表明,所招募孕妇的粪便微生物群和血浆代谢组都可以沿着高血糖向量分离。通过MOA方法观察到GDM的粪便微生物群与血浆代谢组之间存在密切相关性。冗余分析确定了五种血浆代谢物(甘油、乳酸、脯氨酸、半乳糖醇和甲基丙二酸)和98种粪便微生物群成员,它们促成了血浆代谢组与粪便微生物群之间的密切相关性。进一步的斯皮尔曼等级相关分析显示,五种已鉴定的血浆代谢物中有四种(半乳糖醇除外)与高血糖相关。共现网络分析表明,98种粪便微生物群成员中有15种彼此呈正相关,形成了一个共现群组(主要由厚壁菌门组成)。本研究结果表明,粪便微生物群的改变与GDM女性血浆代谢组的高血糖相关变化有关,提示针对肠道微生物群的新疗法可缓解GDM。