Concordance between upper and lower airway microbiota in children with cystic fibrosis
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background Sputum is the sample to monitor the lower respiratory tract microbiota in cystic fibrosis (CF), but young patients often cannot expectorate. We hypothesized that throat swabs could reflect lower airway colonization and assessed the concordance of bacterial community composition between paired sputum and throat swab samples from children with CF. Methods The prospective longitudinal multicenter MUCOVIB cohort included 379 samples from 61 CF children. Using V3-V4 16S rRNA amplicon metagenomics, we compared bacterial community diversity and composition between sputum and throat swabs in the full cohort and in 11 patients with paired samples from the same visit. Results Sputum and Throat swabs exhibited similar bacterial diversity, regardless of the exacerbation status, and presented a substantial agreement for detecting pathogens (Cohen’s Kappa: 0.6). Differences in bacterial abundance were observed (p=0.001), but not presence/absence (p=0.098). Community typing revealed three distinct community types, with 86% of paired samples falling into the same cluster, highlighting the homogeneity between sputum and throat swabs microbiota. Network analysis demonstrated slight, non-random similarities in microbial interactions between sample types (ARI = 0.08 and 0.10). The average distance between samples collected from the same visit was shorter (0.505, ± 0.056 95%CI), compared to sputum (0.695, ± 0.017) or throat swab (0.704, ± 0.045) from the same patient collected during different visits. Conclusions Throat swabs can provide representative information on lower respiratory microbiota. Clinicians should collect throat swabs rather than relying on sputum samples from previous visits to guide antibiotic prescriptions in CF children unable to expectorate.
Source: Journal of Medical Microbiology
DOI: 10.1099/jmm.0.002079
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4414628517
