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Predicting BPD: Lessons Learned From the Airway Microbiome of Preterm Infants
Bronchopulmonary dysplasia (BPD) is the chronic lung disease of prematurity with an operational definition, various different clinical phenotypes, and a complex, multifactorial etiology. Newer unbiased systems biology approaches have identified various “omic” factors associated with the pathogenesis...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7011099/ https://www.ncbi.nlm.nih.gov/pubmed/32117822 http://dx.doi.org/10.3389/fped.2019.00564 |
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author | Gentle, Samuel J. Lal, Charitharth Vivek |
author_facet | Gentle, Samuel J. Lal, Charitharth Vivek |
author_sort | Gentle, Samuel J. |
collection | PubMed |
description | Bronchopulmonary dysplasia (BPD) is the chronic lung disease of prematurity with an operational definition, various different clinical phenotypes, and a complex, multifactorial etiology. Newer unbiased systems biology approaches have identified various “omic” factors associated with the pathogenesis and prediction of BPD. Recent microbi “omic” studies have discovered that airways of newborns harbor a low biomass but distinct microbiome signature as early as at the time of birth. This early airway microbiome may serve to prime the host immune system and may play a role in modulating the infant's future susceptibility to severe BPD development. Temporal changes are observed in airway microbiome of preterm infants from birth to the diagnosis of BPD, with an overall decrease in bacterial diversity, and development of a relative dysbiosis marked by increased Gammaproteobacteria and decreased Lactobacilli abundance. This review will summarize previous investigations of the airway microbiome in preterm infants, appraise the utility of using the airway microbiome to predict BPD development, discuss possible molecular mechanisms involved, and speculate on future microbiome-mediated therapeutics for BPD. |
format | Online Article Text |
id | pubmed-7011099 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70110992020-02-28 Predicting BPD: Lessons Learned From the Airway Microbiome of Preterm Infants Gentle, Samuel J. Lal, Charitharth Vivek Front Pediatr Pediatrics Bronchopulmonary dysplasia (BPD) is the chronic lung disease of prematurity with an operational definition, various different clinical phenotypes, and a complex, multifactorial etiology. Newer unbiased systems biology approaches have identified various “omic” factors associated with the pathogenesis and prediction of BPD. Recent microbi “omic” studies have discovered that airways of newborns harbor a low biomass but distinct microbiome signature as early as at the time of birth. This early airway microbiome may serve to prime the host immune system and may play a role in modulating the infant's future susceptibility to severe BPD development. Temporal changes are observed in airway microbiome of preterm infants from birth to the diagnosis of BPD, with an overall decrease in bacterial diversity, and development of a relative dysbiosis marked by increased Gammaproteobacteria and decreased Lactobacilli abundance. This review will summarize previous investigations of the airway microbiome in preterm infants, appraise the utility of using the airway microbiome to predict BPD development, discuss possible molecular mechanisms involved, and speculate on future microbiome-mediated therapeutics for BPD. Frontiers Media S.A. 2020-02-04 /pmc/articles/PMC7011099/ /pubmed/32117822 http://dx.doi.org/10.3389/fped.2019.00564 Text en Copyright © 2020 Gentle and Lal. http://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 | Pediatrics Gentle, Samuel J. Lal, Charitharth Vivek Predicting BPD: Lessons Learned From the Airway Microbiome of Preterm Infants |
title | Predicting BPD: Lessons Learned From the Airway Microbiome of Preterm Infants |
title_full | Predicting BPD: Lessons Learned From the Airway Microbiome of Preterm Infants |
title_fullStr | Predicting BPD: Lessons Learned From the Airway Microbiome of Preterm Infants |
title_full_unstemmed | Predicting BPD: Lessons Learned From the Airway Microbiome of Preterm Infants |
title_short | Predicting BPD: Lessons Learned From the Airway Microbiome of Preterm Infants |
title_sort | predicting bpd: lessons learned from the airway microbiome of preterm infants |
topic | Pediatrics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7011099/ https://www.ncbi.nlm.nih.gov/pubmed/32117822 http://dx.doi.org/10.3389/fped.2019.00564 |
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