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Published on: August 7, 2017
Asthma and Wheeze Severity and the Oropharyngeal Microbiota in Children and Adolescents
Jonathan Thorsen1,2, Jakob Stokholm1,3, Morten Arendt Rasmussen1,3
1COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital.
Insights
The airway microbiota shows modest differences in children with severe asthma, but age is a stronger factor. These findings suggest the microbiota is interesting for asthma research but may not be a reliable biomarker for interventions.
Area of Science:
- Pediatric Respiratory Medicine
- Microbiome Research
- Asthma Pathogenesis
Background:
- Severe asthma in children and adolescents presents a significant clinical challenge.
- Identifying factors influencing asthma severity is crucial for developing better diagnostics and therapies.
- The airway microbiota is a potential key factor in respiratory disease severity.
Purpose of the Study:
- To compare the oropharyngeal airway microbiota composition in children and adolescents with severe versus mild/moderate asthma or wheeze.
- To investigate the association between airway microbiota and asthma/wheeze severity in different age groups.
- To explore the role of airway microbiota as a potential biomarker for asthma severity.
Main Methods:
- Oropharyngeal swab samples were collected from school-age and preschool children within the European U-BIOPRED study.
- 16S ribosomal RNA gene sequencing was employed to analyze bacterial taxa, defined as amplicon sequence variants (ASVs).
- Statistical analyses, including beta-diversity and differential abundance analyses, were performed to compare microbiota across severity and age groups.
Main Results:
- A total of 241 samples from four cohorts (school-age/preschool, severe/mild-moderate asthma/wheeze) were analyzed.
- The most abundant bacteria included Streptococcus, Veillonella, Haemophilus, Prevotella, and Rothia.
- While age significantly influenced microbiota composition, a significant difference between severe and mild/moderate asthma/wheeze groups was only observed in a multivariable model that included exacerbation history.
Conclusions:
- A modest difference in oropharyngeal microbiota exists between severe and mild/moderate asthma/wheeze groups across all children, but not within specific age groups.
- Microbiota composition is strongly associated with age, indicated by a microbial maturity score.
- The oropharyngeal airway microbiota is an interesting area for asthma severity research but may lack the predictive power to serve as a biomarker for targeted interventions.
Abstract:
Rationale: There is a major unmet need for improving the care of children and adolescents with severe asthma and wheeze. Identifying factors contributing to disease severity may lead to improved diagnostics, biomarkers, or therapies. The airway microbiota may be such a key factor. Objectives: To compare the oropharyngeal airway microbiota of children and adolescents with severe and mild/moderate asthma/wheeze. Methods: Oropharyngeal swab samples from school-age and preschool children in the European U-BIOPRED (Unbiased BIOmarkers in the PREDiction of respiratory disease outcomes) multicenter study of severe asthma, all receiving severity-appropriate treatment, were examined using 16S ribosomal RNA gene sequencing. Bacterial taxa were defined as amplicon sequence variants. Results: We analyzed 241 samples from four cohorts: A) 86 school-age children with severe asthma; B) 39 school-age children with mild/moderate asthma; C) 65 preschool children with severe wheeze; and D) 51 preschool children with mild/moderate wheeze. The most common bacteria were Streptococcus (mean relative abundance, 33.5%), Veillonella (10.3%), Haemophilus (7.0%), Prevotella (5.9%), and Rothia (5.5%). Age group (school-age vs. preschool) was associated with the microbiota in β-diversity analysis (F = 3.32, P = 0.011) and in a differential abundance analysis (28 significant amplicon sequence variants). Among all children, we found no significant difference in the microbiota between children with severe and mild/moderate asthma/wheeze in univariable β-diversity analysis (F = 1.99, P = 0.08, N = 241), but a significant difference in a multivariable model (F = 2.66, P = 0.035), including the number of exacerbations in the previous year. Age was also significant when expressed as a microbial maturity score (Spearman Rho, 0.39; P = 4.6 × 10-10); however, this score was not associated with asthma/wheeze severity. Conclusions: There was a modest difference in the oropharyngeal airway microbiota between children with severe and mild/moderate asthma/wheeze across all children but not in individual age groups, and a strong association between the microbiota and age. This suggests the oropharyngeal airway microbiota as an interesting entity in studying asthma severity, but probably without the strength to serve as a biomarker for targeted intervention.
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