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Dual Transcriptomic Profiling of Host and Microbiota during Health and Disease in Pediatric Asthma

BACKGROUND: High-throughput sequencing (HTS) analysis of microbial communities from the respiratory airways has heavily relied on the 16S rRNA gene. Given the intrinsic limitations of this approach, airway microbiome research has focused on assessing bacterial composition during health and disease,...

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Autores principales: Pérez-Losada, Marcos, Castro-Nallar, Eduardo, Bendall, Matthew L., Freishtat, Robert J., Crandall, Keith A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4488395/
https://www.ncbi.nlm.nih.gov/pubmed/26125632
http://dx.doi.org/10.1371/journal.pone.0131819
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author Pérez-Losada, Marcos
Castro-Nallar, Eduardo
Bendall, Matthew L.
Freishtat, Robert J.
Crandall, Keith A.
author_facet Pérez-Losada, Marcos
Castro-Nallar, Eduardo
Bendall, Matthew L.
Freishtat, Robert J.
Crandall, Keith A.
author_sort Pérez-Losada, Marcos
collection PubMed
description BACKGROUND: High-throughput sequencing (HTS) analysis of microbial communities from the respiratory airways has heavily relied on the 16S rRNA gene. Given the intrinsic limitations of this approach, airway microbiome research has focused on assessing bacterial composition during health and disease, and its variation in relation to clinical and environmental factors, or other microbiomes. Consequently, very little effort has been dedicated to describing the functional characteristics of the airway microbiota and even less to explore the microbe-host interactions. Here we present a simultaneous assessment of microbiome and host functional diversity and host-microbe interactions from the same RNA-seq experiment, while accounting for variation in clinical metadata. METHODS: Transcriptomic (host) and metatranscriptomic (microbiota) sequences from the nasal epithelium of 8 asthmatics and 6 healthy controls were separated in silico and mapped to available human and NCBI-NR protein reference databases. Human genes differentially expressed in asthmatics and controls were then used to infer upstream regulators involved in immune and inflammatory responses. Concomitantly, microbial genes were mapped to metabolic databases (COG, SEED, and KEGG) to infer microbial functions differentially expressed in asthmatics and controls. Finally, multivariate analysis was applied to find associations between microbiome characteristics and host upstream regulators while accounting for clinical variation. RESULTS AND DISCUSSION: Our study showed significant differences in the metabolism of microbiomes from asthmatic and non-asthmatic children for up to 25% of the functional properties tested. Enrichment analysis of 499 differentially expressed host genes for inflammatory and immune responses revealed 43 upstream regulators differentially activated in asthma. Microbial adhesion (virulence) and Proteobacteria abundance were significantly associated with variation in the expression of the upstream regulator IL1A; suggesting that microbiome characteristics modulate host inflammatory and immune systems during asthma.
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spelling pubmed-44883952015-07-02 Dual Transcriptomic Profiling of Host and Microbiota during Health and Disease in Pediatric Asthma Pérez-Losada, Marcos Castro-Nallar, Eduardo Bendall, Matthew L. Freishtat, Robert J. Crandall, Keith A. PLoS One Research Article BACKGROUND: High-throughput sequencing (HTS) analysis of microbial communities from the respiratory airways has heavily relied on the 16S rRNA gene. Given the intrinsic limitations of this approach, airway microbiome research has focused on assessing bacterial composition during health and disease, and its variation in relation to clinical and environmental factors, or other microbiomes. Consequently, very little effort has been dedicated to describing the functional characteristics of the airway microbiota and even less to explore the microbe-host interactions. Here we present a simultaneous assessment of microbiome and host functional diversity and host-microbe interactions from the same RNA-seq experiment, while accounting for variation in clinical metadata. METHODS: Transcriptomic (host) and metatranscriptomic (microbiota) sequences from the nasal epithelium of 8 asthmatics and 6 healthy controls were separated in silico and mapped to available human and NCBI-NR protein reference databases. Human genes differentially expressed in asthmatics and controls were then used to infer upstream regulators involved in immune and inflammatory responses. Concomitantly, microbial genes were mapped to metabolic databases (COG, SEED, and KEGG) to infer microbial functions differentially expressed in asthmatics and controls. Finally, multivariate analysis was applied to find associations between microbiome characteristics and host upstream regulators while accounting for clinical variation. RESULTS AND DISCUSSION: Our study showed significant differences in the metabolism of microbiomes from asthmatic and non-asthmatic children for up to 25% of the functional properties tested. Enrichment analysis of 499 differentially expressed host genes for inflammatory and immune responses revealed 43 upstream regulators differentially activated in asthma. Microbial adhesion (virulence) and Proteobacteria abundance were significantly associated with variation in the expression of the upstream regulator IL1A; suggesting that microbiome characteristics modulate host inflammatory and immune systems during asthma. Public Library of Science 2015-06-30 /pmc/articles/PMC4488395/ /pubmed/26125632 http://dx.doi.org/10.1371/journal.pone.0131819 Text en © 2015 Pérez-Losada et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Pérez-Losada, Marcos
Castro-Nallar, Eduardo
Bendall, Matthew L.
Freishtat, Robert J.
Crandall, Keith A.
Dual Transcriptomic Profiling of Host and Microbiota during Health and Disease in Pediatric Asthma
title Dual Transcriptomic Profiling of Host and Microbiota during Health and Disease in Pediatric Asthma
title_full Dual Transcriptomic Profiling of Host and Microbiota during Health and Disease in Pediatric Asthma
title_fullStr Dual Transcriptomic Profiling of Host and Microbiota during Health and Disease in Pediatric Asthma
title_full_unstemmed Dual Transcriptomic Profiling of Host and Microbiota during Health and Disease in Pediatric Asthma
title_short Dual Transcriptomic Profiling of Host and Microbiota during Health and Disease in Pediatric Asthma
title_sort dual transcriptomic profiling of host and microbiota during health and disease in pediatric asthma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4488395/
https://www.ncbi.nlm.nih.gov/pubmed/26125632
http://dx.doi.org/10.1371/journal.pone.0131819
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