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Dysbiosis signatures of gut microbiota in coronary artery disease

机译:肠道动脉疾病中肠道微生物瘤的缺陷症状

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摘要

Gut microbiota dysbiosis has been considered to be an important risk factor that contributes to coronary artery disease (CAD), but limited evidence exists about the involvement of gut microbiota in the disease. Our study aimed to characterize the dysbiosis signatures of gut microbiota in coronary artery disease. The gut microbiota represented in stool samples were collected from 70 patients with coronary artery disease and 98 healthy controls. 16S rRNA sequencing was applied, and bioinformatics methods were used to decipher taxon signatures and function alteration, as well as the microbial network and diagnostic model of gut microbiota in coronary artery disease. Gut microbiota showed decreased diversity and richness in patients with coronary artery disease. The composition of the microbial community changed; Escherichia-Shigella [false discovery rate (FDR = 7.5*10(-5)] and Enterococcus (FDR = 2.08*10(-7)) were significant enriched, while Faecalibacterium (FDR = 6.19*10(-6)), Subdoligranulum (FDR = 1.63*10(-6)). Roseburia (FDR = 1.95*10(-9)), and Eubacterium rectale (FDR = 2.35*10(-4)) were significant depleted in the CAD group. Consistent with the taxon changes, functions such as amino acid metabolism, phosphotransferase system, propanoate metabolism. lipopolysaccharide biosynthesis, and protein and tryptophan metabolism were found to be enhanced in CAD patients. The microbial network revealed that Faecalibacterium and Escherichia-Shigella were the microbiotas that dominated in the healthy control and CAD groups, respectively. The microbial diagnostic model based on random forest also showed probability in identifying those who suffered from CAD. Our study successfully identities the dysbiosis signature, dysfunctions, and comprehensive networks of gut microbiota in CAD patients. Thus. modulation targeting the gut microbiota may be a novel strategy for CAD treatment.
机译:Gut Microbiota失活菌病被认为是有助于冠状动脉疾病(CAD)的重要危险因素,但有限的证据存在关于肠道微生物症在疾病中的累积。我们的研究旨在表征冠状动脉疾病中肠道微生物症的脱瘤签名。从70例冠状动脉疾病和98例健康对照中收集粪便样品中所代表的肠道微生物。 16S施用16S rRNA测序,并使用生物信息学方法来破译分类群签名和功能改变,以及冠状动脉疾病中肠道微生物的微生物网络和诊断模型。肠道微生物瘤表现出冠状动脉疾病患者的多样性和丰富性降低。微生物群落的组成变化;大肠杆菌 - 志贺察[虚假发现率(FDR = 7.5 * 10(-5)]和肠球菌(FDR = 2.08 * 10(-7))富集,而粪便杆菌(FDR = 6.19 * 10(-6)),subdolarum (FDR = 1.63 * 10(-6))。Roseburia(FDR = 1.95 * 10(-9))和蚕茧直肠(FDR = 2.35 * 10(-4))在CAD组中耗尽。与之一致分类群变化,氨基酸新陈代谢,磷酸转移酶系统,丙酸盐代谢等功能。发现脂多糖生物合成,以及在CAD患者中增强了脂多糖生物合成。微生物网络揭示了粪便杆菌和大肠杆菌 - 志贺菌是占据中的微生物群分别是健康控制和CAD组。基于随机森林的微生物诊断模型还表现出识别CAD的人的概率。我们的研究成功地标识了CAD患者中肠道微生物症的疑难解失证签名,功能障碍和综合网络。从而。Modu靶向肠道微生物群的水域可能是CAD治疗的新策略。

著录项

  • 来源
    《Physiological genomics》 |2018年第10期|共11页
  • 作者单位

    Tongji Univ Sch Med Shanghai Peoples Hosp 10 Dept Gastroenterol Shanghai Peoples R China;

    Tongji Univ Sch Med Shanghai Peoples Hosp 10 Dept Gastroenterol Shanghai Peoples R China;

    Tongji Univ Sch Med Shanghai Peoples Hosp 10 Dept Cardiol Shanghai Peoples R China;

    Tongji Univ Sch Med Shanghai Peoples Hosp 10 Dept Gastroenterol Shanghai Peoples R China;

    Tongji Univ Sch Med Shanghai Peoples Hosp 10 Dept Gastroenterol Shanghai Peoples R China;

    Tongji Univ Sch Med Shanghai Peoples Hosp 10 Dept Gastroenterol Shanghai Peoples R China;

    Tongji Univ Sch Med Shanghai Peoples Hosp 10 Dept Pediat Shanghai Peoples R China;

    Tongji Univ Sch Med Shanghai Peoples Hosp 10 Dept Cardiol Shanghai Peoples R China;

    Tongji Univ Sch Med Shanghai Peoples Hosp 10 Dept Cardiol Shanghai Peoples R China;

    Tongji Univ Sch Med Shanghai Peoples Hosp 10 Dept Gastroenterol Shanghai Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分子生物学;
  • 关键词

    coronary artery disease; diagnostic model; dysbiosis signatures; function alteration; microbial network;

    机译:冠状动脉疾病;诊断模型;疑难解失义;功能改变;微生物网络;

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