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Airway total bacterial density, microbiota community composition and relationship with clinical parameters in bronchiectasis

Lookup NU author(s): Professor Anthony De SoyzaORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2024 The Authors. Background and objective: This study explored the relationship between total bacterial density, airway microbiota composition and clinical parameters in bronchiectasis. We determined changes with time during clinical stability and following antibiotic treatment of a pulmonary exacerbation. Methods: We conducted a multicentre longitudinal cohort study of UK participants with CT confirmed bronchiectasis. Sputum samples and clinical parameters [FEV1% predicted, lung clearance index, C-reactive protein, white cell count and Quality of Life] were collected when participants were clinically stable and pre/post-antibiotic treatment of an exacerbation. Total bacterial density and microbiota community composition was measured by quantitative polymerase chain reaction and sequencing of the V4 region of bacterial 16S rRNA, respectively. Results: Among 105 participants at baseline, 65 (62 %) were female with a mean age of 65 years and FEV1 at 69 % predicted. In participants who remained clinically stable (n = 15), no significant changes were observed in bacterial density, microbiota diversity, richness, evenness, and dominance (p = 0.30, 0.45, 0.54, 0.23 and 0.43; respectively) across four time points over a 1-year period. Similarly, for participants with paired pre/post-antibiotic treatment samples (n = 19), no significant changes were observed (p = 0.30, 0.46, 0.44, 0.71 and 0.58; respectively). However, considerable fluctuation in community composition between samples was apparent for most patients. Total bacterial density and microbiota composition did not correlate with clinical parameters at baseline (n = 75). Conclusions: Stability in bacterial density and microbiota diversity, richness, evenness and dominance was observed over time at a population level but considerable fluctuation was apparent in samples from individual patients.


Publication metadata

Author(s): Alfahl Z, Einarsson GG, Elborn JS, Gilpin DF, O'Neill K, Ferguson K, Hill AT, Loebinger MR, Carroll M, Gatheral T, De Soyza A, Chalmers JD, Johnson C, Hurst JR, Brown JS, Bradley JM, Tunney MM

Publication type: Article

Publication status: Published

Journal: Respiratory Medicine

Year: 2025

Volume: 236

Print publication date: 01/01/2025

Online publication date: 04/12/2024

Acceptance date: 03/12/2024

Date deposited: 07/01/2025

ISSN (print): 0954-6111

ISSN (electronic): 1532-3064

Publisher: W.B. Saunders Ltd

URL: https://doi.org/10.1016/j.rmed.2024.107906

DOI: 10.1016/j.rmed.2024.107906

Data Access Statement: Appendix A. Supplementary data Download all supplementary files included with this article What’s this? The following are the Supplementary data to this article. Download: Download Word document (34KB) Multimedia component 1. Supplementary Materials: detailed description of the study inclusion and exclusion criteria, detailed description of the clinical parameters measured in the study, detailed description of the DNA extraction protocol and qPCR assays used in the study and additional statistical analysis. Supplementary tables: Table S1: Time difference between timepoints at which samples and clinical parameters were collected in the study. Table S2: Primers and Probes for the 16S rRNA qPCR assay. Table S3: qPCR conditions for the 16S rRNA qPCR assay. Table S4: Antibiotics prescribed for treatment of pulmonary exacerbations in participants (Group 2; n = 19). Supplementary figures: Fig. S1: Total bacterial density quantified by qPCR across 4 stable visits in clinically stable particip


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Funding

Funder referenceFunder name
Belfast Health and Social Trust
Medical Research Council (MRC)
Queens University Belfast

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