Nasal Bacteriomes of Patients with Asthma and Allergic Rhinitis Show Unique Composition, Structure, Function and Interactions
Document Type
Journal Article
Publication Date
3-7-2023
Journal
Microorganisms
Volume
11
Issue
3
DOI
10.3390/microorganisms11030683
Keywords
16S rRNA; allergy; asthma; bacteriome; nasal microbiome; rhinitis
Abstract
Allergic rhinitis and asthma are major public health concerns and economic burdens worldwide. However, little is known about nasal bacteriome dysbiosis during allergic rhinitis, alone or associated with asthma comorbidity. To address this knowledge gap we applied 16S rRNA high-throughput sequencing to 347 nasal samples from participants with asthma (AS = 12), allergic rhinitis (AR = 53), allergic rhinitis with asthma (ARAS = 183) and healthy controls (CT = 99). One to three of the most abundant phyla, and five to seven of the dominant genera differed significantly ( < 0.021) between AS, AR or ARAS and CT groups. All alpha-diversity indices of microbial richness and evenness changed significantly ( < 0.01) between AR or ARAS and CT, while all beta-diversity indices of microbial structure differed significantly ( < 0.011) between each of the respiratory disease groups and controls. Bacteriomes of rhinitic and healthy participants showed 72 differentially expressed ( < 0.05) metabolic pathways each related mainly to degradation and biosynthesis processes. A network analysis of the AR and ARAS bacteriomes depicted more complex webs of interactions among their members than among those of healthy controls. This study demonstrates that the nose harbors distinct bacteriotas during health and respiratory disease and identifies potential taxonomic and functional biomarkers for diagnostics and therapeutics in asthma and rhinitis.
APA Citation
Pérez-Losada, Marcos; Castro-Nallar, Eduardo; Laerte Boechat, José; Delgado, Luis; Azenha Rama, Tiago; Berrios-Farías, Valentín; and Oliveira, Manuela, "Nasal Bacteriomes of Patients with Asthma and Allergic Rhinitis Show Unique Composition, Structure, Function and Interactions" (2023). GW Authored Works. Paper 2605.
https://hsrc.himmelfarb.gwu.edu/gwhpubs/2605
Department
Biostatistics and Bioinformatics