Evidence map›Paper›PMID 31556120›Full record

ArticleAllergy2020

Sputum microbiomic clustering in asthma and chronic obstructive pulmonary disease reveals a Haemophilus-predominant subgroup.

Sarah Diver, Matt Richardson, Koirobi Haldar, Michael A Ghebre, Mohammadali Y Ramsheh, Mona Bafadhel, Dhananjay Desai, Emma Suzanne Cohen, Paul Newbold, Laura Rapley and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Allergy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. The Human Respiratory Microbiome: Current Understandings and Future Directions.American journal of respiratory cell and molecular biology · 2023
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Sputum microbiota and inflammatory subtypes in asthma, COPD, and its overlap.The journal of allergy and clinical immunology. Global · 2024
    Article
  12. Article
  13. Clinical Trial Design Innovations for Precision Medicine in Asthma.Advances in experimental medicine and biology · 2023
    Article
  14. MAIT cells and the microbiome.Frontiers in immunology · 2023
    Review
  15. Frontiers in immunology · 2023
    Review
  16. Review
  17. Non-typeableEuropean respiratory review : an official journal of the European Respiratory Society · 2022
    Review
  18. Article
  19. Article
  20. Topological data analysis in biomedicine: A review.Journal of biomedical informatics · 2022
    Review
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

15 authors at 7 institutions in 2 countries.

Sarah DiverInstitute for Lung Health, NIHR Leicester Biomedical Research Centre, Department of Respiratory Sciences, College of Life Sciences, University of Leicester and University Hospitals of Leicester NHS Trust, Leicester, UK.ORCID 0000-0002-5803-5121
Matt RichardsonInstitute for Lung Health, NIHR Leicester Biomedical Research Centre, Department of Respiratory Sciences, College of Life Sciences, University of Leicester and University Hospitals of Leicester NHS Trust, Leicester, UK.
Koirobi HaldarInstitute for Lung Health, NIHR Leicester Biomedical Research Centre, Department of Respiratory Sciences, College of Life Sciences, University of Leicester and University Hospitals of Leicester NHS Trust, Leicester, UK.
Michael A GhebrehVIVO Services Limited, London, UK.
Mohammadali Y RamshehInstitute for Lung Health, NIHR Leicester Biomedical Research Centre, Department of Respiratory Sciences, College of Life Sciences, University of Leicester and University Hospitals of Leicester NHS Trust, Leicester, UK.
Mona BafadhelRespiratory Medicine Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Dhananjay DesaiInstitute for Lung Health, NIHR Leicester Biomedical Research Centre, Department of Respiratory Sciences, College of Life Sciences, University of Leicester and University Hospitals of Leicester NHS Trust, Leicester, UK.
Emma Suzanne CohenAstraZeneca, Cambridge, UK.
Paul NewboldAstraZeneca, Gaithersburg, MD, USA.
Laura RapleyGlaxoSmithKline, Stevenage, UK.
Paul RugmanAstraZeneca, Cambridge, UK.
Ian D PavordRespiratory Medicine Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Richard D MaySosei Heptares, Cambridge, UK.
Michael BarerInstitute for Lung Health, NIHR Leicester Biomedical Research Centre, Department of Respiratory Sciences, College of Life Sciences, University of Leicester and University Hospitals of Leicester NHS Trust, Leicester, UK.
Christopher E BrightlingInstitute for Lung Health, NIHR Leicester Biomedical Research Centre, Department of Respiratory Sciences, College of Life Sciences, University of Leicester and University Hospitals of Leicester NHS Trust, Leicester, UK.
University of Leicester · GBAstraZeneca (United Kingdom) · GBUniversity of Oxford · GBAstraZeneca (United States) · USGlaxoSmithKline (United Kingdom) · GBHeptares Therapeutics (United Kingdom) · GBhVIVO (United Kingdom) · GB

Funding

Medical Research Council G0601369Medical Research Council G0801980Wellcome Trust
6 · The paper itself

Abstract

backgroundAirway ecology is altered in asthma and chronic obstructive pulmonary disease (COPD). Anti-microbial interventions might have benefit in subgroups of airway disease. Differences in sputum microbial profiles at acute exacerbation of airways disease are reflected by the γProteobacteria:Firmicutes (γP:F) ratio. We hypothesized that sputum microbiomic clusters exist in stable airways disease, which can be differentiated by the sputum γP:F ratio.

methodsSputum samples were collected from 63 subjects with severe asthma and 78 subjects with moderate-to-severe COPD in a prospective single centre trial. Microbial profiles were obtained through 16S rRNA gene sequencing. Topological data analysis was used to visualize the data set and cluster analysis performed at genus level. Clinical characteristics and sputum inflammatory mediators were compared across the clusters.

resultsTwo ecological clusters were identified across the combined airways disease population. The smaller cluster was predominantly COPD and was characterized by dominance of Haemophilus at genus level (n = 20), high γP:F ratio, increased H influenzae, low diversity measures and increased pro-inflammatory mediators when compared to the larger Haemophilus-low cluster (n = 121), in which Streptococcus demonstrated the highest relative abundance at the genus level. Similar clusters were identified within disease groups individually and the γP:F ratio consistently differentiated between clusters.

conclusionCluster analysis by airway ecology of asthma and COPD in stable state identified two subgroups differentiated according to dominance of Haemophilus. The γP:F ratio was able to distinguish the Haemophilus-high versus Haemophilus-low subgroups, whether the Haemophilus-high group might benefit from treatment strategies to modulate the airway ecology warrants further investigation.

Indexed as

AsthmaPulmonary Disease, Chronic ObstructiveCluster AnalysisFemaleHaemophilusHumansMaleMiddle AgedProspective StudiesRNA, Ribosomal, 16SSputumRNA, Ribosomal, 16SasthmaCOPDinflammationmicrobiomesputum

Identifiers

PMID31556120
PMCPMC7217013
OpenAlexW2977159705

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.