five

The airway microbiota and exacerbations of COPD

收藏
DataCite Commons2026-03-05 更新2025-06-15 收录
下载链接:
https://datadryad.org/dataset/doi:10.5061/dryad.tqjq2bvw3
下载链接
链接失效反馈
官方服务:
资源简介:
Aim: To investigate whether the compositionality of the lower airway microbiota predicts later exacerbation risk in persons with COPD in a cohort study. Materials and methods: We collected lower airways microbiota samples by bronchoalveolar lavage and protected specimen brushes, and oral wash samples from 122 participants with COPD. Bacterial DNA was extracted from all samples, before we sequenced the V3-V4 region of the 16S RNA gene. The frequency of moderate and severe COPD exacerbations was surveyed in telephone interviews and in a follow-up visit. Compositional taxonomy and alpha and beta diversity were compared between participants with and without later exacerbations.  Results: The four most abundant phyla were Firmicutes, Bacteroidetes, Proteobacteria and Fusobacteria in both groups, and the four most abundant genera were Streptococcus, Veillonella, Prevotella and Gemella. The relative abundances of different taxa showed a large variation between samples and individuals, and no statistically significant difference of either compositional taxonomy, or alpha or beta diversity could be found between participants with and without COPD exacerbations within follow-up.  Conclusion: The findings from the current study, indicate that individual differences in the lower airway microbiota in persons with COPD far outweigh group differences between frequent and non-frequent COPD exacerbators, and that the compositionality of the microbiota is so complex as to present large challenges for use as a biomarker of later exacerbations.
提供机构:
Dryad
创建时间:
2020-08-11
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作