Longitudinal profiling of the lung microbiome in the AERIS study demonstrates repeatability of bacterial and eosinophilic COPD exacerbations. Issue 5 (31st January 2018)
- Record Type:
- Journal Article
- Title:
- Longitudinal profiling of the lung microbiome in the AERIS study demonstrates repeatability of bacterial and eosinophilic COPD exacerbations. Issue 5 (31st January 2018)
- Main Title:
- Longitudinal profiling of the lung microbiome in the AERIS study demonstrates repeatability of bacterial and eosinophilic COPD exacerbations
- Authors:
- Mayhew, David
Devos, Nathalie
Lambert, Christophe
Brown, James R
Clarke, Stuart C
Kim, Viktoriya L
Magid-Slav, Michal
Miller, Bruce E
Ostridge, Kristoffer K
Patel, Ruchi
Sathe, Ganesh
Simola, Daniel F
Staples, Karl J
Sung, Ruby
Tal-Singer, Ruth
Tuck, Andrew C
Van Horn, Stephanie
Weynants, Vincent
Williams, Nicholas P
Devaster, Jeanne-Marie
Wilkinson, Tom M A - Other Names:
- author non-byline.
Alnajar J author non-byline.
Anderson R author non-byline.
Aris E author non-byline.
Ballou WR author non-byline.
Barton A author non-byline.
Bourne S author non-byline.
Caubet M author non-byline.
Clarke SC author non-byline.
Cleary D author non-byline.
Cohet C author non-byline.
Coombs N author non-byline.
Cox K author non-byline.
Devaster J-M author non-byline.
Devine V author non-byline.
Devos N author non-byline.
Dineen E author non-byline.
Elliott T author non-byline.
Gladstone R author non-byline.
Harden S author non-byline.
Jefferies J author non-byline.
Kim V author non-byline.
Vela S Mesia author non-byline.
Moris P author non-byline.
Ostridge K author non-byline.
Pascal TG author non-byline.
Peeters M author non-byline.
Schoonbroodt S author non-byline.
Staples KJ author non-byline.
Tuck A author non-byline.
Welch L author non-byline.
Weynants V author non-byline.
Wilkinson TMA author non-byline.
Williams AP author non-byline.
Williams N author non-byline.
Woelk C author non-byline.
Wojtas M author non-byline.
Wootton S author non-byline.
… (more) - Abstract:
- Abstract : Background: Alterations in the composition of the lung microbiome associated with adverse clinical outcomes, known as dysbiosis, have been implicated with disease severity and exacerbations in COPD. Objective: To characterise longitudinal changes in the lung microbiome in the AERIS study (Acute Exacerbation and Respiratory InfectionS in COPD) and their relationship with associated COPD outcomes. Methods: We surveyed 584 sputum samples from 101 patients with COPD to analyse the lung microbiome at both stable and exacerbation time points over 1 year using high-throughput sequencing of the 16S ribosomal RNA gene. We incorporated additional lung microbiology, blood markers and in-depth clinical assessments to classify COPD phenotypes. Results: The stability of the lung microbiome over time was more likely to be decreased in exacerbations and within individuals with higher exacerbation frequencies. Analysis of exacerbation phenotypes using a Markov chain model revealed that bacterial and eosinophilic exacerbations were more likely to be repeated in subsequent exacerbations within a subject, whereas viral exacerbations were not more likely to be repeated. We also confirmed the association of bacterial genera, including Haemophilus and Moraxella, with disease severity, exacerbation events and bronchiectasis. Conclusions: Subtypes of COPD have distinct bacterial compositions and stabilities over time. Some exacerbation subtypes have non-random probabilities of repeatingAbstract : Background: Alterations in the composition of the lung microbiome associated with adverse clinical outcomes, known as dysbiosis, have been implicated with disease severity and exacerbations in COPD. Objective: To characterise longitudinal changes in the lung microbiome in the AERIS study (Acute Exacerbation and Respiratory InfectionS in COPD) and their relationship with associated COPD outcomes. Methods: We surveyed 584 sputum samples from 101 patients with COPD to analyse the lung microbiome at both stable and exacerbation time points over 1 year using high-throughput sequencing of the 16S ribosomal RNA gene. We incorporated additional lung microbiology, blood markers and in-depth clinical assessments to classify COPD phenotypes. Results: The stability of the lung microbiome over time was more likely to be decreased in exacerbations and within individuals with higher exacerbation frequencies. Analysis of exacerbation phenotypes using a Markov chain model revealed that bacterial and eosinophilic exacerbations were more likely to be repeated in subsequent exacerbations within a subject, whereas viral exacerbations were not more likely to be repeated. We also confirmed the association of bacterial genera, including Haemophilus and Moraxella, with disease severity, exacerbation events and bronchiectasis. Conclusions: Subtypes of COPD have distinct bacterial compositions and stabilities over time. Some exacerbation subtypes have non-random probabilities of repeating those subtypes in the future. This study provides insights pertaining to the identification of bacterial targets in the lung and biomarkers to classify COPD subtypes and to determine appropriate treatments for the patient. Trial registration number: Results, NCT01360398 . … (more)
- Is Part Of:
- Thorax. Volume 73:Issue 5(2018)
- Journal:
- Thorax
- Issue:
- Volume 73:Issue 5(2018)
- Issue Display:
- Volume 73, Issue 5 (2018)
- Year:
- 2018
- Volume:
- 73
- Issue:
- 5
- Issue Sort Value:
- 2018-0073-0005-0000
- Page Start:
- 422
- Page End:
- 430
- Publication Date:
- 2018-01-31
- Subjects:
- Copd ÀÜ mechanisms -- Copd exacerbations -- respiratory infection
Chest -- Diseases -- Periodicals
Thorax
Chest -- Diseases
Periodicals
Periodicals
617.54 - Journal URLs:
- http://thorax.bmjjournals.com/contents-by-date.0.shtml ↗
http://www.bmj.com/archive ↗ - DOI:
- 10.1136/thoraxjnl-2017-210408 ↗
- Languages:
- English
- ISSNs:
- 0040-6376
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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