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Integrated microbiome–metabolome analysis reveals novel associations between fecal microbiota and hyperglycemia-related changes of plasma metabolome in gestational diabetes mellitus

机译:集成的微生物组 - 代购分析揭示了粪便微生物群系与妊娠期糖尿病血浆代谢物的高血糖相关变化的新缔合品

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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 ~(1) 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.
机译:妊娠期糖尿病(GDM)分别与肠道微生物液中的循环代谢紊乱和改变有关。虽然肠道微生物酵母的变化有助于代谢疾病,但肠道微生物瘤之间的连接和GDM中的循环代谢状态在很大程度上是未确定的。为了探讨肠道微生物肿瘤与GDM的循环代谢物之间的关联,我们注册了40名孕妇(20名患有GDM和20个非糖尿病对照),并对粪便微生物的16S rRNA测序进行了多OMICS协会(MOA)研究和〜 (1)血浆代谢物的H-NMR分析。结果表明,粪便微生物群和纳入孕妇的血浆代谢物可以沿高血糖血症的载体分开。 MOA方法观察粪便微生物群与GDM的血浆代谢物之间的紧密相关性。冗余分析鉴定了五种血浆代谢物(甘油,乳酸,脯氨酸,半乳糖醇和甲基甘氨酸)和98个粪便微生物酵母的成员,促进了血浆代谢物和粪便微生物群系之间的紧密相关性。进一步的Spearman等级相关性分析显示,其中五种鉴定的血浆代谢物(半乳糖醇除外)与高血糖症相关。共同的网络分析表明,粪便微生物群的98个成员中的15个彼此正相关,形成共同发生的队列(主要由门静音组成)。本研究的结果表明,粪便微生物群的改变与高血糖相关变化与患有GDM血浆代谢物的高血糖相关变化有关,这表明对肠道微生物群进行了新的疗法来缓解GDM。

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