The airway microbiome in patients with severe asthma: Associations with disease features and severity

Huang, Yvonne J.; Nariya, Snehal; Harris, Jeffrey M.; Lynch, Susan V.; Choy, David F.; Arron, Joseph R.; Boushey, Homer A.

doi:10.1016/j.jaci.2015.05.044

Cited by 429 publications

(454 citation statements)

References 42 publications

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“…The healthy airways also exhibit niche specificity, in that specific sites such as the nares and the oropharynx exhibit distinct distributions of bacterial taxa, with the former enriched for skin-associated Actinobacteria and the latter enriched more commonly for members of the Firmicutes and Proteobacteria (21). In contrast to healthy subjects, patients with airway diseases such as asthma exhibit a significant increase in the burden of bacteria present in the lower airways; moreover, the composition of these lower-airway communities is related to features of the disease (20,22).…”

Section: Relationships To Diseases Of the Lungs And Airwaysmentioning

confidence: 99%

“…An independent study of induced sputum from 56 adults, including 26 individuals with severe asthma, indicated that enrichment of specific Streptococcus taxa is associated with recentonset asthma, rhinosinusitis, and sputum eosinophilia (23). Independently, Huang and colleagues demonstrated that the bronchial bacterial community composition in those with severe asthma (n = 40) was related to body mass index, sputum total leukocytes, and bronchial biopsy eosinophil numbers, with each of these factors associated with distinct airway bacterial community compositions (22). More specifically, positive associations were observed between biopsy eosinophil numbers and two members of the Actinobacteria (Streptomyces and Propionicimonas) in this study (22).…”

Section: Relationships To Diseases Of the Lungs And Airwaysmentioning

confidence: 99%

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The Lung Microbiome and Airway Disease

Lynch

2016

Annals ATS

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A growing body of literature has demonstrated relationships between the composition of the airway microbiota (mixed-species communities of microbes that exist in the respiratory tract) and critical features of immune response and pulmonary function. These studies provide evidence that airway inflammatory status and capacity for repair are coassociated with specific taxonomic features of the airway microbiome. Although directionality has yet to be established, the fact that microbes are known drivers of inflammation and tissue damage suggests that in the context of chronic inflammatory airway disease, the composition and, more importantly, the function, of the pulmonary microbiome represent critical factors in defining airway disease outcomes.

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Section: Relationships To Diseases Of the Lungs And Airwaysmentioning

confidence: 99%

Section: Relationships To Diseases Of the Lungs And Airwaysmentioning

confidence: 99%

The Lung Microbiome and Airway Disease

Lynch

2016

Annals ATS

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“…16S sequencing is much broader and gives little or no information about subspecies and antibiotic sensitivities that are important to the clinicians. Most publications relate to disease in which host-microbe interaction is likely to play a role in disease pathogenesis and ongoing disease flare; these are mostly chronic conditions such as inflammatory bowel disease (IBD), 4,[16][17][18] asthma, [19][20][21] skin conditions, 22 and cancers. [23][24][25] The immunomodulatory effect of the microbiome seems likely to hold a key to understanding several diseases, and correlation of host gene expression (transcriptome) with the microbiome and microbial gene expression may yield useful insights.…”

Section: Which Diseases Types May Be Of Interest To Microbiome Researmentioning

confidence: 99%

Analysis and Interpretation of the Human Microbiome

Ashton

Beattie

Ennis

et al. 2016

Inflammatory Bowel Diseases

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Microbiome research has experienced an unprecedented level of growth over the last decade. This is largely due to revolutionary developments in, and accessibility to, DNA sequencing technologies that have enabled laboratories with even modest budgets to undertake projects. Study of the human microbiome in particular has seen a surge in interest, and although a lot of time and money has been focused on health and disease, the clinical interpretation of these data and the ability of clinicians to understand these studies in the context of disease are less straightforward. Conditions such as inflammatory bowel disease, asthma, and cancer have seen a huge increase in research focused on the role of microbiome in disease pathogenesis, but the ability of clinicians to appraise and use these data is largely lacking. The purpose of this article is to provide an introduction for clinicians and nonclinicians wishing to learn about and engage in microbiome research. It details the background of microbiome research and discusses the process of generating 16S rRNA sequencing data, the most commonly used method for microbiome analysis. We discuss the interpretation of results in a clinical context, commonly used metrics for analysis and discuss future impact and direction for microbiome research. The meteoric rise of genomic medicine to the brink of routine clinical use should be seen as a blueprint for the microbiome; the ability for physicians to understand and interpret these data is vital to this growth and aiding clinicians (and researchers) to participate in further microbiome research.(Inflamm Bowel Dis 2016;0:1-10)

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“…In previous airway studies, α diversity results were contradictory, which may be attributed to nonuniformity of the sampling sites and techniques [15, 16, 17, 18]. The CR, AR, and AS samples had similar principle component analysis clustering and, in spite of the presence of overlap between the controls and the disease groups, the results denoted the presence of dysbiosis in urine EVs of the CR, AR, and AS.…”

Section: Discussionmentioning

confidence: 82%

Urine Bacteria-Derived Extracellular Vesicles and Allergic Airway Diseases in Children

Samra

Nam

Lim

et al. 2018

Int Arch Allergy Immunol

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Background: Microbiota and human allergic airway diseases have been proven to be interrelated. Bacteria-derived extracellular vesicle (EV)s are known to play important roles in interbacterial and human-bacteria communications, but their relationship with allergies has not been examined yet. Urine EVs were investigated to determine whether they could be used as biomarkers for monitoring allergic airway diseases in children. Methods: Subjects were 4 groups of chronic rhinitis (CR), allergic rhinitis (AR), atopic asthma (AS) and healthy controls. Single voided urine samples were collected. Urine EVs were isolated and their DNA was extracted for 16S-rDNA pyrosequencing. Results: A total of 118 children participated in this study; 27, 39, 19, and 33 were in the CR, AR, AS, and control group, respectively. The AR had a significantly high Chao-1 index than that of controls. Principal component analysis revealed dysbiosis in the CR, AR, and AS compared to the controls. One phylum and 19 families and genera were significantly enriched or depleted in the disease groups compared to the controls; the Actinobacteria phylum and the Sphingomonadaceae family were more abundant in the AS and CR, the Comamonadaceae family, the Propionibacteraceae family, Propionibacterium and Enhydrobacter were more enriched in the CR, and the Methylobacteriaceae family and Methylobacterium were more abundant in each disease group, while the Enterobacteriaceae family was depleted in each disease group. Conclusions: CR, AR, and AS had a distinct composition of urine EVs. Urine EVs could be an indicator for assessing allergic airway diseases in children.

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The airway microbiome in patients with severe asthma: Associations with disease features and severity

Cited by 429 publications

References 42 publications

The Lung Microbiome and Airway Disease

The Lung Microbiome and Airway Disease

Analysis and Interpretation of the Human Microbiome

Urine Bacteria-Derived Extracellular Vesicles and Allergic Airway Diseases in Children

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