Cargando…

Pediatric asthma comprises different phenotypic clusters with unique nasal microbiotas

BACKGROUND: Pediatric asthma is the most common chronic childhood disease in the USA, currently affecting ~ 7 million children. This heterogeneous syndrome is thought to encompass various disease phenotypes of clinically observable characteristics, which can be statistically identified by applying c...

Descripción completa

Detalles Bibliográficos
Autores principales: Pérez-Losada, Marcos, Authelet, Kayla J, Hoptay, Claire E, Kwak, Christine, Crandall, Keith A, Freishtat, Robert J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6172741/
https://www.ncbi.nlm.nih.gov/pubmed/30286807
http://dx.doi.org/10.1186/s40168-018-0564-7
_version_ 1783360999659667456
author Pérez-Losada, Marcos
Authelet, Kayla J
Hoptay, Claire E
Kwak, Christine
Crandall, Keith A
Freishtat, Robert J
author_facet Pérez-Losada, Marcos
Authelet, Kayla J
Hoptay, Claire E
Kwak, Christine
Crandall, Keith A
Freishtat, Robert J
author_sort Pérez-Losada, Marcos
collection PubMed
description BACKGROUND: Pediatric asthma is the most common chronic childhood disease in the USA, currently affecting ~ 7 million children. This heterogeneous syndrome is thought to encompass various disease phenotypes of clinically observable characteristics, which can be statistically identified by applying clustering approaches to patient clinical information. Extensive evidence has shown that the airway microbiome impacts both clinical heterogeneity and pathogenesis in pediatric asthma. Yet, so far, airway microbiotas have been consistently neglected in the study of asthma phenotypes. Here, we couple extensive clinical information with 16S rRNA high-throughput sequencing to characterize the microbiota of the nasal cavity in 163 children and adolescents clustered into different asthma phenotypes. RESULTS: Our clustering analyses identified three statistically distinct phenotypes of pediatric asthma. Four core OTUs of the pathogenic genera Moraxella, Staphylococcus, Streptococcus, and Haemophilus were present in at least 95% of the studied nasal microbiotas. Phyla (Proteobacteria, Actinobacteria, and Bacteroidetes) and genera (Moraxella, Corynebacterium, Dolosigranulum, and Prevotella) abundances, community composition, and structure varied significantly (0.05 < P ≤ 0.0001) across asthma phenotypes and one of the clinical variables (preterm birth). Similarly, microbial networks of co-occurrence of bacterial genera revealed different bacterial associations across asthma phenotypes. CONCLUSIONS: This study shows that children and adolescents with different clinical characteristics of asthma also show different nasal bacterial profiles, which is indicative of different phenotypes of the disease. Our work also shows how clinical and microbial information could be integrated to validate and refine asthma classification systems and develop biomarkers of disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0564-7) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6172741
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-61727412018-10-15 Pediatric asthma comprises different phenotypic clusters with unique nasal microbiotas Pérez-Losada, Marcos Authelet, Kayla J Hoptay, Claire E Kwak, Christine Crandall, Keith A Freishtat, Robert J Microbiome Research BACKGROUND: Pediatric asthma is the most common chronic childhood disease in the USA, currently affecting ~ 7 million children. This heterogeneous syndrome is thought to encompass various disease phenotypes of clinically observable characteristics, which can be statistically identified by applying clustering approaches to patient clinical information. Extensive evidence has shown that the airway microbiome impacts both clinical heterogeneity and pathogenesis in pediatric asthma. Yet, so far, airway microbiotas have been consistently neglected in the study of asthma phenotypes. Here, we couple extensive clinical information with 16S rRNA high-throughput sequencing to characterize the microbiota of the nasal cavity in 163 children and adolescents clustered into different asthma phenotypes. RESULTS: Our clustering analyses identified three statistically distinct phenotypes of pediatric asthma. Four core OTUs of the pathogenic genera Moraxella, Staphylococcus, Streptococcus, and Haemophilus were present in at least 95% of the studied nasal microbiotas. Phyla (Proteobacteria, Actinobacteria, and Bacteroidetes) and genera (Moraxella, Corynebacterium, Dolosigranulum, and Prevotella) abundances, community composition, and structure varied significantly (0.05 < P ≤ 0.0001) across asthma phenotypes and one of the clinical variables (preterm birth). Similarly, microbial networks of co-occurrence of bacterial genera revealed different bacterial associations across asthma phenotypes. CONCLUSIONS: This study shows that children and adolescents with different clinical characteristics of asthma also show different nasal bacterial profiles, which is indicative of different phenotypes of the disease. Our work also shows how clinical and microbial information could be integrated to validate and refine asthma classification systems and develop biomarkers of disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0564-7) contains supplementary material, which is available to authorized users. BioMed Central 2018-10-04 /pmc/articles/PMC6172741/ /pubmed/30286807 http://dx.doi.org/10.1186/s40168-018-0564-7 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Pérez-Losada, Marcos
Authelet, Kayla J
Hoptay, Claire E
Kwak, Christine
Crandall, Keith A
Freishtat, Robert J
Pediatric asthma comprises different phenotypic clusters with unique nasal microbiotas
title Pediatric asthma comprises different phenotypic clusters with unique nasal microbiotas
title_full Pediatric asthma comprises different phenotypic clusters with unique nasal microbiotas
title_fullStr Pediatric asthma comprises different phenotypic clusters with unique nasal microbiotas
title_full_unstemmed Pediatric asthma comprises different phenotypic clusters with unique nasal microbiotas
title_short Pediatric asthma comprises different phenotypic clusters with unique nasal microbiotas
title_sort pediatric asthma comprises different phenotypic clusters with unique nasal microbiotas
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6172741/
https://www.ncbi.nlm.nih.gov/pubmed/30286807
http://dx.doi.org/10.1186/s40168-018-0564-7
work_keys_str_mv AT perezlosadamarcos pediatricasthmacomprisesdifferentphenotypicclusterswithuniquenasalmicrobiotas
AT autheletkaylaj pediatricasthmacomprisesdifferentphenotypicclusterswithuniquenasalmicrobiotas
AT hoptayclairee pediatricasthmacomprisesdifferentphenotypicclusterswithuniquenasalmicrobiotas
AT kwakchristine pediatricasthmacomprisesdifferentphenotypicclusterswithuniquenasalmicrobiotas
AT crandallkeitha pediatricasthmacomprisesdifferentphenotypicclusterswithuniquenasalmicrobiotas
AT freishtatrobertj pediatricasthmacomprisesdifferentphenotypicclusterswithuniquenasalmicrobiotas