Gut microbiota associated with pulmonary tuberculosis and dysbiosis caused by anti-tuberculosis drugs.

来自 PUBMED

作者:

Hu YYang QLiu BDong JSun LZhu YSu HYang JYang FChen XJin Q

展开

摘要:

An improved understanding of the gut microbiota could lead to better strategies for the diagnosis, therapy and prophylaxis of tuberculosis (TB). The impact of both Mycobacterium tuberculosis (Mtb) infection and anti-TB treatment on the gut microbiota has rarely been studied. We characterized the diversity and composition of the gut microbiota in pulmonary TB patients as well as the effects of anti-TB drugs on the gut microbiota. Pulmonary Mtb infection led to a minor decrease in the α diversity of the gut microbiota when compared to healthy controls, which mainly resulted from changes in the relative abundance of the members of genus Bacteroides. Anti-TB therapy caused a rapid, significant alteration in the community structure. The relative abundance of members of genus Clostridiales of the phylum Firmicutes significantly decreased during anti-TB treatment, while many members of genus Bacteroides, including Bacteroides OTU230 and Bacteroides fragilis, were among the taxa that increased. OTU8 and OTU2972 assigned to family Erysipelotrichaceae of the phylum Firmicutes showed a dramatic increase 1 week after the start of therapy, while the other members of this family decreased. Pulmonary TB and anti-TB treatment caused a distinct dysbiosis of the gut microbiota. Our study contributes valuable information implying potential links between the gut microbiota and TB.

收起

展开

DOI:

10.1016/j.jinf.2018.08.006

被引量:

57

年份:

1970

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(285)

参考文献(0)

引证文献(57)

来源期刊

-

影响因子:暂无数据

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读