Upper and lower airway microbiota across infancy and childhood.

Abstract

Background: The upper and lower respiratory tracts feature distinct environments and responses affecting microbial colonization but investigating the relationship between them is technically challenging. We aimed to identify relationships between taxa colonizing the nasopharynx and trachea across childhood.

Methods: We employed V4 16S rRNA gene sequencing to profile nasopharyngeal swabs and tracheal aspirates collected from 172 subjects between 20 weeks and 18 years of age. These samples were collected prior to elective procedures over the course of 20 weeks in 2020 from subjects enrolled in a cross-sectional study. After extraction, sequencing, and quality control, we studied the remaining 147 of 172 nasopharyngeal swabs and 95 of 172 tracheal aspirates, including 80 subject-matched pairs of samples.

Results: Sequencing data revealed that the nasopharynx is colonized by few, often highly abundant taxa, while the tracheal aspirates feature greater diversity. The patterns of colonization identified in the nasopharynx correlate with subject age across childhood.

Conclusion: Our data suggests that there are relatively few species that colonize both the nasopharyngeal tract and the trachea. Furthermore, we observe a pattern of change in the nasopharyngeal microbiota that is correlated with age, suggesting a possible developmental progression of the nasopharyngeal microbiota across childhood.

Impact: The airway microbiota in childhood plays important roles in respiratory health and immune development. In this work, we report on paired nasopharyngeal swab and tracheal aspirate samples from a cross-sectional cohort of children from infancy to 18 years. We find that the upper and lower airway microbiota are unlikely to share taxa and do not correlate in terms of diversity. We show that the composition of the upper airway microbiota is strongly correlated with age, with a stereotypic developmental trajectory during childhood and adolescence. Our results inform our understanding of airway microbiota assembly and may be used to predict airway disease in young children.