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Airway Microbiome in Different Inflammatory Phenotypes of Asthma: A Cross-Sectional Study in Northeast China

Background and Objective: Asthma is a common respiratory disease with a high prevalence and morbidity that can seriously affect quality of life. Microbial colonization of the airway may participate in the pathogenesis of asthma, however the mechanisms involved have not been established. In the prese...

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Autores principales: Pang, Zhiqiang, Wang, Guoqiang, Gibson, Peter, Guan, Xuewa, Zhang, Weijie, Zheng, Ruipeng, Chen, Fang, Wang, Ziyan, Wang, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6428974/
https://www.ncbi.nlm.nih.gov/pubmed/30911282
http://dx.doi.org/10.7150/ijms.29433
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author Pang, Zhiqiang
Wang, Guoqiang
Gibson, Peter
Guan, Xuewa
Zhang, Weijie
Zheng, Ruipeng
Chen, Fang
Wang, Ziyan
Wang, Fang
author_facet Pang, Zhiqiang
Wang, Guoqiang
Gibson, Peter
Guan, Xuewa
Zhang, Weijie
Zheng, Ruipeng
Chen, Fang
Wang, Ziyan
Wang, Fang
author_sort Pang, Zhiqiang
collection PubMed
description Background and Objective: Asthma is a common respiratory disease with a high prevalence and morbidity that can seriously affect quality of life. Microbial colonization of the airway may participate in the pathogenesis of asthma, however the mechanisms involved have not been established. In the present study, we aimed to determine the composition of the microbiota in different asthmatic phenotypes from Northeast China. Methods: 24 mild-to-moderate asthmatics (10 eosinophilic asthma and 14 non-eosinophilic asthma) and 12 healthy volunteers participated in this cross-sectional study. DNA was extracted from their induced sputum and amplified for 16s rRNA gene sequencing on Illumina Miseq platform. Bioinformatic analysis on the microbiome was performed. Results: Alpha-diversity analysis showed that the asthmatics had a decreased richness, evenness and diversity. Non-eosinophilic asthmatics showed a decreased richness, evenness and diversity compared with eosinophilic patients. A different taxonomy of 1 phylum and 6 genera taxa between the phenotypes was identified. Compared with heathy controls, asthmatics existed a larger taxonomic difference (P<0.05 for both EA and NEA vs. HC). 5 genera as the dominance in the microbial co-occurrence network correlated with the spirometry and disease progression of asthma. The function of microbiota genes was predicted to be related with infectious, immune and metabolic diseases. Conclusion: The diversity and composition of the airway microbiome was associated with the pathogenesis of asthma in different phenotypes. The diverse composition has been identified in the present study.
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spelling pubmed-64289742019-03-25 Airway Microbiome in Different Inflammatory Phenotypes of Asthma: A Cross-Sectional Study in Northeast China Pang, Zhiqiang Wang, Guoqiang Gibson, Peter Guan, Xuewa Zhang, Weijie Zheng, Ruipeng Chen, Fang Wang, Ziyan Wang, Fang Int J Med Sci Research Paper Background and Objective: Asthma is a common respiratory disease with a high prevalence and morbidity that can seriously affect quality of life. Microbial colonization of the airway may participate in the pathogenesis of asthma, however the mechanisms involved have not been established. In the present study, we aimed to determine the composition of the microbiota in different asthmatic phenotypes from Northeast China. Methods: 24 mild-to-moderate asthmatics (10 eosinophilic asthma and 14 non-eosinophilic asthma) and 12 healthy volunteers participated in this cross-sectional study. DNA was extracted from their induced sputum and amplified for 16s rRNA gene sequencing on Illumina Miseq platform. Bioinformatic analysis on the microbiome was performed. Results: Alpha-diversity analysis showed that the asthmatics had a decreased richness, evenness and diversity. Non-eosinophilic asthmatics showed a decreased richness, evenness and diversity compared with eosinophilic patients. A different taxonomy of 1 phylum and 6 genera taxa between the phenotypes was identified. Compared with heathy controls, asthmatics existed a larger taxonomic difference (P<0.05 for both EA and NEA vs. HC). 5 genera as the dominance in the microbial co-occurrence network correlated with the spirometry and disease progression of asthma. The function of microbiota genes was predicted to be related with infectious, immune and metabolic diseases. Conclusion: The diversity and composition of the airway microbiome was associated with the pathogenesis of asthma in different phenotypes. The diverse composition has been identified in the present study. Ivyspring International Publisher 2019-03-09 /pmc/articles/PMC6428974/ /pubmed/30911282 http://dx.doi.org/10.7150/ijms.29433 Text en © Ivyspring International Publisher This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Pang, Zhiqiang
Wang, Guoqiang
Gibson, Peter
Guan, Xuewa
Zhang, Weijie
Zheng, Ruipeng
Chen, Fang
Wang, Ziyan
Wang, Fang
Airway Microbiome in Different Inflammatory Phenotypes of Asthma: A Cross-Sectional Study in Northeast China
title Airway Microbiome in Different Inflammatory Phenotypes of Asthma: A Cross-Sectional Study in Northeast China
title_full Airway Microbiome in Different Inflammatory Phenotypes of Asthma: A Cross-Sectional Study in Northeast China
title_fullStr Airway Microbiome in Different Inflammatory Phenotypes of Asthma: A Cross-Sectional Study in Northeast China
title_full_unstemmed Airway Microbiome in Different Inflammatory Phenotypes of Asthma: A Cross-Sectional Study in Northeast China
title_short Airway Microbiome in Different Inflammatory Phenotypes of Asthma: A Cross-Sectional Study in Northeast China
title_sort airway microbiome in different inflammatory phenotypes of asthma: a cross-sectional study in northeast china
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6428974/
https://www.ncbi.nlm.nih.gov/pubmed/30911282
http://dx.doi.org/10.7150/ijms.29433
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