Sputum microbiota profiles of treatment-naïve TB patients in Uganda before and during first-line therapy.
Sputum microbiota profiles of treatment-naïve TB patients in Uganda before and during first-line therapy.
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DOI：
10.1038/s41598-021-04271-y
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发表时间：
2021-12-29
影响因子：
4.6
通讯作者：
Muwonge A
中科院分区：
文献类型：
--
作者：
Kateete DP;Mbabazi MM;Nakazzi F;Katabazi FA;Kigozi E;Ssengooba W;Nakiyingi L;Namiiro S;Okwera A;Joloba ML;Muwonge A
关于非洲肺结核（TB）微生物群动态的信息很少。在这里，我们对乌干达120名未经治疗的结核病患者的结核杆菌进行了测序，并调查了30名患者治疗反应随访样本的微生物群变化。总的来说，艾滋病毒感染状况和抗结核治疗与微生物结构和丰度变化有关。主要门是拟杆菌门、厚壁菌门、变形菌门、梭菌门和放线菌门，占痰液微生物群组成的近95%;各时间段的主要属是普雷沃菌属、链球菌属、韦荣球菌属、嗜血杆菌属、奈瑟氏菌属、异普雷沃菌属、卟啉单胞菌属、梭菌属、Gemella和Rothia。第2个月的治疗反应随访的特征是分枝杆菌和Fretibacterium丰度减少，瘤胃球菌和消化球菌增加;第5个月的特征是Tannerella和Fusobacterium减少，Neisseriaceae家族成员增加。微生物群核心由44个属组成，这些属在处理期间是稳定的。该核心丰度的分层聚类将基线（0个月）样品与治疗随访样品（2/5个月）明显分开。我们还观察到微生物多样性减少，9.1%（CI 6-14%）的结构变异归因于HIV状态和抗TB治疗。我们的研究结果显示了与治疗相关的可辨别的微生物群信号，有可能为抗结核治疗反应监测提供信息。
Information on microbiota dynamics in pulmonary tuberculosis (TB) in Africa is scarce. Here, we sequenced sputa from 120 treatment-naïve TB patients in Uganda, and investigated changes in microbiota of 30 patients with treatment-response follow-up samples. Overall, HIV-status and anti-TB treatment were associated with microbial structural and abundance changes. The predominant phyla were Bacteroidetes, Firmicutes, Proteobacteria, Fusobacteria and Actinobacteria, accounting for nearly 95% of the sputum microbiota composition; the predominant genera across time were Prevotella, Streptococcus, Veillonella, Haemophilus, Neisseria, Alloprevotella, Porphyromonas, Fusobacterium, Gemella, and Rothia. Treatment-response follow-up at month 2 was characterized by a reduction in abundance of Mycobacterium and Fretibacterium, and an increase in Ruminococcus and Peptococcus; month 5 was characterized by a reduction in Tannerella and Fusobacterium, and an increase in members of the family Neisseriaceae. The microbiota core comprised of 44 genera that were stable during treatment. Hierarchical clustering of this core’s abundance distinctly separated baseline (month 0) samples from treatment follow-up samples (months 2/5). We also observed a reduction in microbial diversity with 9.1% (CI 6–14%) of the structural variation attributed to HIV-status and anti-TB treatment. Our findings show discernible microbiota signals associated with treatment with potential to inform anti-TB treatment response monitoring.
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影响因子：
4.2
作者：
Cui Z;Zhou Y;Li H;Zhang Y;Zhang S;Tang S;Guo X
通讯作者：
Guo X
影响因子：
6.4
作者：
Comeau AM;Douglas GM;Langille MG
通讯作者：
Langille MG
影响因子：
5.1
作者：
Astudillo-Garcia, Carmen;Bell, James J.;Taylor, Michael W.
通讯作者：
Taylor, Michael W.
影响因子：
3.2
作者：
Garcia, Benjamin J.;Loxton, Andre G.;Walter, Nicholas D.
通讯作者：
Walter, Nicholas D.
影响因子：
3.7
作者：
Bwanga F;Haile M;Joloba ML;Ochom E;Hoffner S
通讯作者：
Hoffner S