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Informatic analysis of the pulmonary microecology in non-cystic fibrosis bronchiectasis at three different stages
This study explored the impact of pulmonary microecological changes on disease progression in non-cystic fibrosis bronchiectasis (nCFB). A careful search of the NCBI BioProject database revealed the 16S rRNA-based microbiological testing results of 441 pulmonary sputum samples from patients in the r...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886608/ https://www.ncbi.nlm.nih.gov/pubmed/35291562 http://dx.doi.org/10.1515/biol-2022-0014 |
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author | Wang, Yuchao Chen, Ying Wu, Chao Yang, Xiaohong |
author_facet | Wang, Yuchao Chen, Ying Wu, Chao Yang, Xiaohong |
author_sort | Wang, Yuchao |
collection | PubMed |
description | This study explored the impact of pulmonary microecological changes on disease progression in non-cystic fibrosis bronchiectasis (nCFB). A careful search of the NCBI BioProject database revealed the 16S rRNA-based microbiological testing results of 441 pulmonary sputum samples from patients in the relatively stable (baseline), acute exacerbation, or recovery stage. After preliminary analysis and screening, we selected 152 samples for further analyses, including determination of the operational taxonomic unit (OTU) distribution at the phylum, class, order, family and genus levels, community structure, alpha diversity, beta diversity, microbial multivariables, correlations, and community structure after the abundances of intragroup samples were averaged. The recovery group showed significant differences in pulmonary microbiological changes (P < 0.05) compared with the other groups. There were 30 differentially abundant OTUs, with 27 and 7 at the genus and phylum levels, respectively. The Chao1 value of the recovery group was comparable to that of the baseline group, and the Shannon and Simpson values of the recovery group were the highest. Rhodococcus in Actinobacteria was positively correlated with Ochrobactrum in Firmicutes. The differences in pulmonary microecological changes at different nCFB stages may serve as a biologically predictive indicator of nCFB progression. |
format | Online Article Text |
id | pubmed-8886608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-88866082022-03-14 Informatic analysis of the pulmonary microecology in non-cystic fibrosis bronchiectasis at three different stages Wang, Yuchao Chen, Ying Wu, Chao Yang, Xiaohong Open Life Sci Research Article This study explored the impact of pulmonary microecological changes on disease progression in non-cystic fibrosis bronchiectasis (nCFB). A careful search of the NCBI BioProject database revealed the 16S rRNA-based microbiological testing results of 441 pulmonary sputum samples from patients in the relatively stable (baseline), acute exacerbation, or recovery stage. After preliminary analysis and screening, we selected 152 samples for further analyses, including determination of the operational taxonomic unit (OTU) distribution at the phylum, class, order, family and genus levels, community structure, alpha diversity, beta diversity, microbial multivariables, correlations, and community structure after the abundances of intragroup samples were averaged. The recovery group showed significant differences in pulmonary microbiological changes (P < 0.05) compared with the other groups. There were 30 differentially abundant OTUs, with 27 and 7 at the genus and phylum levels, respectively. The Chao1 value of the recovery group was comparable to that of the baseline group, and the Shannon and Simpson values of the recovery group were the highest. Rhodococcus in Actinobacteria was positively correlated with Ochrobactrum in Firmicutes. The differences in pulmonary microecological changes at different nCFB stages may serve as a biologically predictive indicator of nCFB progression. De Gruyter 2022-02-28 /pmc/articles/PMC8886608/ /pubmed/35291562 http://dx.doi.org/10.1515/biol-2022-0014 Text en © 2022 Yuchao Wang et al., published by De Gruyter https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. |
spellingShingle | Research Article Wang, Yuchao Chen, Ying Wu, Chao Yang, Xiaohong Informatic analysis of the pulmonary microecology in non-cystic fibrosis bronchiectasis at three different stages |
title | Informatic analysis of the pulmonary microecology in non-cystic fibrosis bronchiectasis at three different stages |
title_full | Informatic analysis of the pulmonary microecology in non-cystic fibrosis bronchiectasis at three different stages |
title_fullStr | Informatic analysis of the pulmonary microecology in non-cystic fibrosis bronchiectasis at three different stages |
title_full_unstemmed | Informatic analysis of the pulmonary microecology in non-cystic fibrosis bronchiectasis at three different stages |
title_short | Informatic analysis of the pulmonary microecology in non-cystic fibrosis bronchiectasis at three different stages |
title_sort | informatic analysis of the pulmonary microecology in non-cystic fibrosis bronchiectasis at three different stages |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886608/ https://www.ncbi.nlm.nih.gov/pubmed/35291562 http://dx.doi.org/10.1515/biol-2022-0014 |
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