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Meta-analysis Reveals Potential Influence of Oxidative Stress on the Airway Microbiomes of Cystic Fibrosis Patients
- Source :
- Genomics, Proteomics and Bioinformatics; December 2019, Vol. 17 Issue: 6 p590-602, 13p
- Publication Year :
- 2019
-
Abstract
- The lethal chronic airway infection of the cystic fibrosis(CF) patients is predisposed by colonization of specific CF-philic pathogens or the CF microbiomes, but key processes and reasons of the microbiome settlement in the patients are yet to be fully understood, especially their survival and metabolic dynamics from normal to diseased status under treatment. Here, we report our meta-analysisresults on CF airway microbiomesbased on metabolic networks reconstructed from genome information at species level. The microbiomes of CF patients appear to engage much more redox-related activities than those of controls, and by constructing a large dataset of anti-oxidative stress (anti-OS) genes, our quantitative evaluation of the anti-OS capacity of each bacterial species in the CF microbiomes confirms strong conservation of the anti-OS responses within genera and also shows that the CF pathogens have significantly higher anti-OS capacity than commensals and other typical respiratory pathogens. In addition, the anti-OS capacity of a relevant species correlates with its relative fitness for the airways of CF patients over that for the airways of controls. Moreover, the total anti-OS capacity of the respiratory microbiome of CF patients is collectively higher than that of controls, which increases with disease progression, especially after episodes of acute exacerbation and antibiotic treatment. According to these results, we propose that the increased OS in the airways of CF patients may play an important role in reshaping airway microbiomes to a more resistant status that favors the pre-infection colonization of the CF pathogens for a higher anti-OS capacity.
Details
- Language :
- English
- ISSN :
- 16720229
- Volume :
- 17
- Issue :
- 6
- Database :
- Supplemental Index
- Journal :
- Genomics, Proteomics and Bioinformatics
- Publication Type :
- Periodical
- Accession number :
- ejs52695873
- Full Text :
- https://doi.org/10.1016/j.gpb.2018.03.009