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Lung microbiome and cytokine profiles in different disease states of COPD: a cohort study
Increasing evidence indicates that respiratory tract microecological disorders may play a role in the pathogenesis of chronic obstructive pulmonary disease (COPD). Understanding the composition of the respiratory microbiome in COPD and its relevance to respiratory immunity will help develop microbio...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080507/ https://www.ncbi.nlm.nih.gov/pubmed/37029178 http://dx.doi.org/10.1038/s41598-023-32901-0 |
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author | Xue, Qing Xie, Yu He, Yukun Yu, Yan Fang, Guiju Yu, Wenyi Wu, Jianhui Li, Jiwei Zhao, Lili Deng, Xinyu Li, Ran Wang, Fang Zheng, Yali Gao, Zhancheng |
author_facet | Xue, Qing Xie, Yu He, Yukun Yu, Yan Fang, Guiju Yu, Wenyi Wu, Jianhui Li, Jiwei Zhao, Lili Deng, Xinyu Li, Ran Wang, Fang Zheng, Yali Gao, Zhancheng |
author_sort | Xue, Qing |
collection | PubMed |
description | Increasing evidence indicates that respiratory tract microecological disorders may play a role in the pathogenesis of chronic obstructive pulmonary disease (COPD). Understanding the composition of the respiratory microbiome in COPD and its relevance to respiratory immunity will help develop microbiome-based diagnostic and therapeutic approaches. One hundred longitudinal sputum samples from 35 subjects with acute exacerbation of COPD (AECOPD) were analysed for respiratory bacterial microbiome using 16S ribosomal RNA amplicon sequencing technology, and the sputum supernatant was analysed for 12 cytokines using a Luminex liquid suspension chip. Unsupervised hierarchical clustering was employed to evaluate the existence of distinct microbial clusters. In AECOPD, the respiratory microbial diversity decreased, and the community composition changed significantly. The abundances of Haemophilus, Moraxella, Klebsiella, and Pseudomonas increased significantly. Significant positive correlations between the abundance of Pseudomonas and TNF-α, abundance of Klebsiella and the percentage of eosinophils were observed. Furthermore, COPD can be divided into four clusters based on the respiratory microbiome. AECOPD-related cluster was characterized by the enrichment of Pseudomonas and Haemophilus and a high level of TNF-α. Lactobacillus and Veillonella are enriched in therapy-related phenotypes and may play potential probiotic roles. There are two inflammatory endotypes in the stable state: Gemella is associated with the Th2 inflammatory endotypes, whereas Prevotella is associated with the Th17 inflammatory endotypes. Nevertheless, no differences in clinical manifestations were found between these two endotypes. The sputum microbiome is associated with the disease status of COPD, allowing us to distinguish different inflammatory endotypes. Targeted anti-inflammatory and anti-infective therapies may improve the long-term prognosis of COPD. |
format | Online Article Text |
id | pubmed-10080507 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100805072023-04-07 Lung microbiome and cytokine profiles in different disease states of COPD: a cohort study Xue, Qing Xie, Yu He, Yukun Yu, Yan Fang, Guiju Yu, Wenyi Wu, Jianhui Li, Jiwei Zhao, Lili Deng, Xinyu Li, Ran Wang, Fang Zheng, Yali Gao, Zhancheng Sci Rep Article Increasing evidence indicates that respiratory tract microecological disorders may play a role in the pathogenesis of chronic obstructive pulmonary disease (COPD). Understanding the composition of the respiratory microbiome in COPD and its relevance to respiratory immunity will help develop microbiome-based diagnostic and therapeutic approaches. One hundred longitudinal sputum samples from 35 subjects with acute exacerbation of COPD (AECOPD) were analysed for respiratory bacterial microbiome using 16S ribosomal RNA amplicon sequencing technology, and the sputum supernatant was analysed for 12 cytokines using a Luminex liquid suspension chip. Unsupervised hierarchical clustering was employed to evaluate the existence of distinct microbial clusters. In AECOPD, the respiratory microbial diversity decreased, and the community composition changed significantly. The abundances of Haemophilus, Moraxella, Klebsiella, and Pseudomonas increased significantly. Significant positive correlations between the abundance of Pseudomonas and TNF-α, abundance of Klebsiella and the percentage of eosinophils were observed. Furthermore, COPD can be divided into four clusters based on the respiratory microbiome. AECOPD-related cluster was characterized by the enrichment of Pseudomonas and Haemophilus and a high level of TNF-α. Lactobacillus and Veillonella are enriched in therapy-related phenotypes and may play potential probiotic roles. There are two inflammatory endotypes in the stable state: Gemella is associated with the Th2 inflammatory endotypes, whereas Prevotella is associated with the Th17 inflammatory endotypes. Nevertheless, no differences in clinical manifestations were found between these two endotypes. The sputum microbiome is associated with the disease status of COPD, allowing us to distinguish different inflammatory endotypes. Targeted anti-inflammatory and anti-infective therapies may improve the long-term prognosis of COPD. Nature Publishing Group UK 2023-04-07 /pmc/articles/PMC10080507/ /pubmed/37029178 http://dx.doi.org/10.1038/s41598-023-32901-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Xue, Qing Xie, Yu He, Yukun Yu, Yan Fang, Guiju Yu, Wenyi Wu, Jianhui Li, Jiwei Zhao, Lili Deng, Xinyu Li, Ran Wang, Fang Zheng, Yali Gao, Zhancheng Lung microbiome and cytokine profiles in different disease states of COPD: a cohort study |
title | Lung microbiome and cytokine profiles in different disease states of COPD: a cohort study |
title_full | Lung microbiome and cytokine profiles in different disease states of COPD: a cohort study |
title_fullStr | Lung microbiome and cytokine profiles in different disease states of COPD: a cohort study |
title_full_unstemmed | Lung microbiome and cytokine profiles in different disease states of COPD: a cohort study |
title_short | Lung microbiome and cytokine profiles in different disease states of COPD: a cohort study |
title_sort | lung microbiome and cytokine profiles in different disease states of copd: a cohort study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080507/ https://www.ncbi.nlm.nih.gov/pubmed/37029178 http://dx.doi.org/10.1038/s41598-023-32901-0 |
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