Asthma and Wheeze Severity and the Oropharyngeal Microbiota in Children and Adolescents

喘息 医学 哮喘 儿科 普雷沃菌属 微生物群 维管菌 卡他莫拉菌 肺炎链球菌 内科学 链球菌 抗生素 生物 生物信息学 微生物学 细菌 遗传学
作者
Jonathan Thorsen,Jakob Stokholm,Morten Arendt Rasmussen,Michael Roggenbuck-Wedemeyer,Nadja Hawwa Vissing,Martin Bødtker Mortensen,Asker Daniel Brejnrod,Louise Fleming,Andrew Bush,Graham Roberts,Florian Singer,Peter D. Sly,Gunilla Hedlin,Björn Nordlund,Clare S. Murray,Mahmoud I. Abdel-Aziz,Simone Hashimoto,Wim M. C. van Aalderen,Anke-Hilse Maitland-van der Zee,Dominick E. Shaw,Stephen J. Fowler,Ana E. Sousa,Peter J. Sterk,Kian Fan Chung,Ian M. Adcock,Ratko Djukanovic,Charles Auffray,Aruna T. Bansal,Scott Wagers,Bo L. Chawes,Klaus Bønnelykke,Søren J. Sørensen,Hans Bisgaard
出处
期刊:Annals of the American Thoracic Society [American Thoracic Society]
卷期号:19 (12): 2031-2043 被引量:1
标识
DOI:10.1513/annalsats.202110-1152oc
摘要

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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