Composition and Stability of Nasopharyngeal Microbiome in School-age Asthmatic Children During Peak Exacerbation Season in Hong Kong
Other conference paper


Full Text

Other information
AbstractBackground: Asthmatics have dysbiosis in their airways. However, evidence was limited on changes of airway microbiome during asthma exacerbation and differences in composition and microbiota pattern between stable and exacerbated asthma. This surveillance study characterized changes in nasopharyngeal (NP) microbiota of Chinese asthmatic children.
Methodology: 27 school-age asthmatics with history of at least one exacerbation within past 12 months were prospectively assessed between September and December in 2017 (i.e. peak local season for asthma exacerbation).
Their asthma symptoms and control status were monitored and pulmonary function measured at five visits scheduled every 2-4 weeks. Flocked nasopharyngeal swab (FNPS) were obtained at each visit for microbiome analysis. Genomic DNA extracted from these NP samples by MO BIO PowerSoil DNA Isolation Kit, and V4 region of 16S rDNA was sequenced using HiSeq 2500 (Illumina, San Diego, CA). Bioinformatic annotation was performed with QIIME2 (SILVA 132 database). Generalized estimating equation (GEE) was used to analyze longitudinal patterns of NP microbiome and its relation to asthma exacerbations.
Results: 3 subjects were ineligible for analysis due to failed sequencing of ≥50% serial samples. 11 patients had at least one asthma exacerbation (AE), whereas the other 13 patients were grouped as stable asthma (AS). Their mean (SD) age in years was 11.1 (3.0) and 12.6 (2.8) years. AE group tended to receive more inhaled corticosteroid treatment (55% vs 15%, P=0.082). Baseline lung function was comparable in these two groups (% predicted for FEV1 90.1±22.7 vs 90.8±14.3, P=0.932). The top 10 abundant genera across all samples were chosen as representative microbiome in GEE analysis. Biodiversity decreased significantly over follow up period in both groups (P<0.001) while there was no between-group longitudinal difference (P=0.709). For relative abundance of top 10 genera, none of them showed significant difference between group at individual time points, though the AE group tended to have relatively more Staphylococcus (B=0.064, P=0.099). For longitudinal patterns, there showed a trend of outgrowth of Moraxella (B=0.041, P=0.126) and significant decrease of Pseudomonas, Cutibacterium and Neisseria (P=0.037, 0.032 & 0.021) along time, but no between-group difference of serial change was found. The proportion of Corynebacterium, Dolosigranulum, and Streptococcus remained stable throughout the follow up in both groups.
Conclusion: This surveillance study found seasonal change in biodiversity of NP microbiome among school-age children with asthma. Nonetheless, such longitudinal pattern did not differ between those with stable disease and asthma exacerbations during follow-up. Besides, we could not detect any between-group difference in relative abundance of predominant microbes at individual study visits.
Funding: CUHK Direct Grant for Research (2016.081) and Hong Kong Institute of Allergy Research Grant 2017
Acceptance Date13/06/2019
All Author(s) ListYu Ping Song, Jin Pao Hou, Man Fung Tang, Renee Wan Yi Chan, Christine Tung, Kin Pong Tao, Gary Wing Kin Wong, Stephen Kwok Wing Tsui, Ting Fan Leung
Name of ConferenceMicrobiome
Start Date of Conference18/07/2019
End Date of Conference21/07/2019
Place of ConferenceCold Spring Harbor Laboratory
Country/Region of ConferenceUnited States of America
Year2019
LanguagesEnglish-United Kingdom

Last updated on 2020-20-03 at 10:04