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A pilot study exploring the association of bronchial bacterial microbiota and recurrent wheezing in infants with atopy
BACKGROUND: Differences in bronchial microbiota composition have been found to be associated with asthma; however, it is still unclear whether these findings can be applied to recurrent wheezing in infants especially with aeroallergen sensitization. OBJECTIVES: To determine the pathogenesis of atopi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975506/ https://www.ncbi.nlm.nih.gov/pubmed/36875523 http://dx.doi.org/10.3389/fcimb.2023.1013809 |
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author | Tang, Wei Zhang, Lei Ai, Tao Xia, Wanmin Xie, Cheng Fan, Yinghong Chen, Sisi Chen, Zijin Yao, Jiawei Peng, Yi |
author_facet | Tang, Wei Zhang, Lei Ai, Tao Xia, Wanmin Xie, Cheng Fan, Yinghong Chen, Sisi Chen, Zijin Yao, Jiawei Peng, Yi |
author_sort | Tang, Wei |
collection | PubMed |
description | BACKGROUND: Differences in bronchial microbiota composition have been found to be associated with asthma; however, it is still unclear whether these findings can be applied to recurrent wheezing in infants especially with aeroallergen sensitization. OBJECTIVES: To determine the pathogenesis of atopic wheezing in infants and to identify diagnostic biomarkers, we analyzed the bronchial bacterial microbiota of infants with recurrent wheezing and with or without atopic diseases using a systems biology approach. METHODS: Bacterial communities in bronchoalveolar lavage samples from 15 atopic wheezing infants, 15 non-atopic wheezing infants, and 18 foreign body aspiration control infants were characterized using 16S rRNA gene sequencing. The bacterial composition and community-level functions inferred from between-group differences from sequence profiles were analyzed. RESULTS: Both α- and β-diversity differed significantly between the groups. Compared to non-atopic wheezing infants, atopic wheezing infants showed a significantly higher abundance in two phyla (Deinococcota and unidentified bacteria) and one genus (Haemophilus) and a significantly lower abundance in one phylum (Actinobacteria). The random forest predictive model of 10 genera based on OTU-based features suggested that airway microbiota has diagnostic value for distinguishing atopic wheezing infants from non-atopic wheezing infants. PICRUSt2 based on KEGG hierarchy (level 3) revealed that atopic wheezing-associated differences in predicted bacterial functions included cytoskeleton proteins, glutamatergic synapses, and porphyrin and chlorophyll metabolism pathways. CONCLUSION: The differential candidate biomarkers identified by microbiome analysis in our work may have reference value for the diagnosis of wheezing in infants with atopy. To confirm that, airway microbiome combined with metabolomics analysis should be further investigated in the future. |
format | Online Article Text |
id | pubmed-9975506 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99755062023-03-02 A pilot study exploring the association of bronchial bacterial microbiota and recurrent wheezing in infants with atopy Tang, Wei Zhang, Lei Ai, Tao Xia, Wanmin Xie, Cheng Fan, Yinghong Chen, Sisi Chen, Zijin Yao, Jiawei Peng, Yi Front Cell Infect Microbiol Cellular and Infection Microbiology BACKGROUND: Differences in bronchial microbiota composition have been found to be associated with asthma; however, it is still unclear whether these findings can be applied to recurrent wheezing in infants especially with aeroallergen sensitization. OBJECTIVES: To determine the pathogenesis of atopic wheezing in infants and to identify diagnostic biomarkers, we analyzed the bronchial bacterial microbiota of infants with recurrent wheezing and with or without atopic diseases using a systems biology approach. METHODS: Bacterial communities in bronchoalveolar lavage samples from 15 atopic wheezing infants, 15 non-atopic wheezing infants, and 18 foreign body aspiration control infants were characterized using 16S rRNA gene sequencing. The bacterial composition and community-level functions inferred from between-group differences from sequence profiles were analyzed. RESULTS: Both α- and β-diversity differed significantly between the groups. Compared to non-atopic wheezing infants, atopic wheezing infants showed a significantly higher abundance in two phyla (Deinococcota and unidentified bacteria) and one genus (Haemophilus) and a significantly lower abundance in one phylum (Actinobacteria). The random forest predictive model of 10 genera based on OTU-based features suggested that airway microbiota has diagnostic value for distinguishing atopic wheezing infants from non-atopic wheezing infants. PICRUSt2 based on KEGG hierarchy (level 3) revealed that atopic wheezing-associated differences in predicted bacterial functions included cytoskeleton proteins, glutamatergic synapses, and porphyrin and chlorophyll metabolism pathways. CONCLUSION: The differential candidate biomarkers identified by microbiome analysis in our work may have reference value for the diagnosis of wheezing in infants with atopy. To confirm that, airway microbiome combined with metabolomics analysis should be further investigated in the future. Frontiers Media S.A. 2023-02-15 /pmc/articles/PMC9975506/ /pubmed/36875523 http://dx.doi.org/10.3389/fcimb.2023.1013809 Text en Copyright © 2023 Tang, Zhang, Ai, Xia, Xie, Fan, Chen, Chen, Yao and Peng https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cellular and Infection Microbiology Tang, Wei Zhang, Lei Ai, Tao Xia, Wanmin Xie, Cheng Fan, Yinghong Chen, Sisi Chen, Zijin Yao, Jiawei Peng, Yi A pilot study exploring the association of bronchial bacterial microbiota and recurrent wheezing in infants with atopy |
title | A pilot study exploring the association of bronchial bacterial microbiota and recurrent wheezing in infants with atopy |
title_full | A pilot study exploring the association of bronchial bacterial microbiota and recurrent wheezing in infants with atopy |
title_fullStr | A pilot study exploring the association of bronchial bacterial microbiota and recurrent wheezing in infants with atopy |
title_full_unstemmed | A pilot study exploring the association of bronchial bacterial microbiota and recurrent wheezing in infants with atopy |
title_short | A pilot study exploring the association of bronchial bacterial microbiota and recurrent wheezing in infants with atopy |
title_sort | pilot study exploring the association of bronchial bacterial microbiota and recurrent wheezing in infants with atopy |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975506/ https://www.ncbi.nlm.nih.gov/pubmed/36875523 http://dx.doi.org/10.3389/fcimb.2023.1013809 |
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