Evidence map›Paper›PMID 29386298›Full record

ArticleThorax2018

Longitudinal profiling of the lung microbiome in the AERIS study demonstrates repeatability of bacterial and eosinophilic COPD exacerbations.

David Mayhew, Nathalie Devos, Christophe Lambert, James R Brown, Stuart C Clarke, Viktoriya L Kim, Michal Magid-Slav, Bruce E Miller, Kristoffer K Ostridge, Ruchi Patel and 12 more

2 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in Thorax, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 170 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
170citing papers in PubMed, 5 pooled it
25.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01360398 nacompletednot on this map

Contribution of Infectious Pathogens to Acute Respiratory Illness in Adults and Elderly

TypeinterventionalSponsorGlaxoSmithKlineRan2011 to 2014Enrolled127ConditionsRespiratory DisordersArmsBlood sample, Sputum sample, Nasopharyngeal swab, Urine sample, End tidal breath sample
NCT04961060 unknown statusnot on this mapstarted 2021, after this paper: background citation

Drivers of Eosinophilic COPD Exacerbations

TypeobservationalSponsorUniversity Medical Center GroningenRan2021 to 2025Enrolled100ConditionsCOPD Exacerbation, Eosinophilia
3 · Its place in the literature

Who cites it

170 citing papers in PubMed, 5 syntheses or guidelines pooled it, 286 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Microbiota Emergencies in the Diagnosis of Lung Diseases: A Meta-Analysis.Frontiers in cellular and infection microbiology · 2021
    Pooled it
  6. Immunogenicity and safety of the non-typableHuman vaccines & immunotherapeutics · 2023
    Trial
  7. Trial
  8. Nemiralisib in Patients with an Acute Exacerbation of COPD: Placebo-Controlled, Dose-Ranging Study.International journal of chronic obstructive pulmonary disease · 2021
    Trial
  9. Review
  10. Review
  11. Review
  12. Hallmarks of the ageing lung: 10 years later.The European respiratory journal · 2026
    Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article

110 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 3 institutions in 3 countries.

David Mayhew *Computational Biology, Target Sciences, GSK R&D, King of Prussia, Pennsylvania, USA.
Nathalie Devos *GSK Vaccines, Rixensart, Belgium.
Christophe LambertGSK Vaccines, Rixensart, Belgium.
James R BrownComputational Biology, Target Sciences, GSK R&D, King of Prussia, Pennsylvania, USA.ORCID 0000-0002-9368-627X
Stuart C ClarkeClinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton General Hospital, Southampton, UK.
Viktoriya L KimSouthampton NIHR Respiratory Biomedical Research Unit, Southampton General Hospital, Southampton, UK.
Michal Magid-SlavComputational Biology, Target Sciences, GSK R&D, King of Prussia, Pennsylvania, USA.
Bruce E MillerRespiratory Therapy Area Unit, GSK R&D, King of Prussia, Pennsylvania, USA.
Kristoffer K OstridgeSouthampton NIHR Respiratory Biomedical Research Unit, Southampton General Hospital, Southampton, UK.ORCID 0000-0001-8910-3900
Ruchi PatelTarget and Pathway Validation, Target Sciences, GSK R&D, King of Prussia, Pennsylvania, USA.
Ganesh SatheTarget and Pathway Validation, Target Sciences, GSK R&D, King of Prussia, Pennsylvania, USA.
Daniel F SimolaComputational Biology, Target Sciences, GSK R&D, King of Prussia, Pennsylvania, USA.
Karl J StaplesClinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton General Hospital, Southampton, UK.ORCID 0000-0003-3844-6457
Ruby SungRespiratory Therapy Area Unit, GSK R&D, King of Prussia, Pennsylvania, USA.
Ruth Tal-SingerRespiratory Therapy Area Unit, GSK R&D, King of Prussia, Pennsylvania, USA.
Andrew C TuckClinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton General Hospital, Southampton, UK.
Stephanie Van HornTarget and Pathway Validation, Target Sciences, GSK R&D, King of Prussia, Pennsylvania, USA.
Vincent WeynantsGSK Vaccines, Rixensart, Belgium.
Nicholas P WilliamsSouthampton NIHR Respiratory Biomedical Research Unit, Southampton General Hospital, Southampton, UK.
Jeanne-Marie DevasterGSK Vaccines, Rixensart, Belgium.
Tom M A WilkinsonClinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton General Hospital, Southampton, UK.
AERIS Study Group
Southampton General Hospital · GBTarget (United States) · USGlaxoSmithKline (Belgium) · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlterations 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.

objectiveTo 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.

methodsWe 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.

resultsThe 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

conclusionsSubtypes 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.

Indexed as

Disease ProgressionMicrobiotaAgedFemaleHaemophilusHumansLongitudinal StudiesLungMaleMiddle AgedMoraxellaObservational Studies as TopicPhenotypePrevotellaPulmonary Disease, Chronic ObstructivePulmonary EosinophiliaRNA, Ribosomal, 16SCopd ÀÜ mechanismsCopd exacerbationsrespiratory infection

Identifiers

PMID29386298
PMCPMC5909767
OpenAlexW2785692071

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.