Evidence map›Paper›PMID 28479329›Full record

Trial reportThe Journal of allergy and clinical immunology2018

Inflammatory phenotypes in patients with severe asthma are associated with distinct airway microbiology.

Steven L Taylor, Lex E X Leong, Jocelyn M Choo, Steve Wesselingh, Ian A Yang, John W Upham, Paul N Reynolds, Sandra Hodge, Alan L James, Christine Jenkins and 6 more

Abstract readMulticenter StudyRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in The Journal of allergy and clinical immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
180citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

180 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Asthma endotypes and theratypes.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
  13. Article
  14. Review
  15. Review
  16. Nasal Microbiota Associated with the Lung Radiomic Features in Asthma.International journal of general medicine · 2026
    Article
  17. Review
  18. Article
  19. Observational
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Steven L TaylorSouth Australian Health and Medical Research Institute, Adelaide, Australia; SAHMRI Microbiome Research Laboratory, School of Medicine, Flinders University, Adelaide, Australia.
Lex E X LeongSouth Australian Health and Medical Research Institute, Adelaide, Australia; SAHMRI Microbiome Research Laboratory, School of Medicine, Flinders University, Adelaide, Australia.
Jocelyn M ChooSouth Australian Health and Medical Research Institute, Adelaide, Australia; SAHMRI Microbiome Research Laboratory, School of Medicine, Flinders University, Adelaide, Australia.
Steve WesselinghSouth Australian Health and Medical Research Institute, Adelaide, Australia; SAHMRI Microbiome Research Laboratory, School of Medicine, Flinders University, Adelaide, Australia.
Ian A YangSchool of Medicine, University of Queensland, St Lucia, Australia; Department of Thoracic Medicine, The Prince Charles Hospital, Chermside, Australia.
John W UphamSchool of Medicine, University of Queensland, St Lucia, Australia; Translational Research Institute, Princess Alexandra Hospital, Woolloongabba, Australia.
Paul N ReynoldsDepartment of Thoracic Medicine, Royal Adelaide Hospital and Lung Research Laboratory, Hanson Institute, Adelaide, Australia; School of Medicine, University of Adelaide, Adelaide, Australia.
Sandra HodgeDepartment of Thoracic Medicine, Royal Adelaide Hospital and Lung Research Laboratory, Hanson Institute, Adelaide, Australia; School of Medicine, University of Adelaide, Adelaide, Australia.
Alan L JamesDepartment of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, Australia; School of Medicine and Pharmacology, University of Western Australia, Crawley, Australia.
Christine JenkinsRespiratory Trials, George Institute for Global Health, Newtown, Australia; Australian School of Advanced Medicine, Macquarie University, North Ryde, Australia.
Matthew J PetersAustralian School of Advanced Medicine, Macquarie University, North Ryde, Australia; Department of Thoracic Medicine, Concord General Hospital, Concord, Australia.
Melissa BaraketRespiratory Medicine Department and Ingham Institute, Liverpool Hospital, Liverpool, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, Australia.
Guy B MarksRespiratory Medicine Department and Ingham Institute, Liverpool Hospital, Liverpool, Australia; Woolcock Institute of Medical Research, Glebe, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, Australia.
Peter G GibsonWoolcock Institute of Medical Research, Glebe, Australia; Respiratory and Sleep Medicine, Priority Research Centre for Healthy Lungs, University of Newcastle, Callaghan, Australia.
Jodie L SimpsonRespiratory and Sleep Medicine, Priority Research Centre for Healthy Lungs, University of Newcastle, Callaghan, Australia.
Geraint B RogersSouth Australian Health and Medical Research Institute, Adelaide, Australia; SAHMRI Microbiome Research Laboratory, School of Medicine, Flinders University, Adelaide, Australia. Electronic address: geraint.rogers@sahmri.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAsthma pathophysiology and treatment responsiveness are predicted by inflammatory phenotype. However, the relationship between airway microbiology and asthma phenotype is poorly understood.

objectiveWe aimed to characterize the airway microbiota in patients with symptomatic stable asthma and relate composition to airway inflammatory phenotype and other phenotypic characteristics.

methodsThe microbial composition of induced sputum specimens collected from adult patients screened for a multicenter randomized controlled trial was determined by using 16S rRNA gene sequencing. Inflammatory phenotypes were defined by sputum neutrophil and eosinophil cell proportions. Microbiota were defined by using α- and β-diversity measures, and interphenotype differences were identified by using similarity of percentages, network analysis, and taxon fold change. Phenotypic predictors of airway microbiology were identified by using multivariate linear regression.

resultsMicrobiota composition was determined in 167 participants and classified as eosinophilic (n = 84), neutrophilic (n = 14), paucigranulocytic (n = 60), or mixed neutrophilic-eosinophilic (n = 9) asthma phenotypes. Airway microbiology was significantly less diverse (P = .022) and more dissimilar (P = .005) in neutrophilic compared with eosinophilic participants. Sputum neutrophil proportions, but not eosinophil proportions, correlated significantly with these diversity measures (α-diversity: Spearman r = -0.374, P < .001; β-diversity: r = 0.238, P = .002). Interphenotype differences were characterized by a greater frequency of pathogenic taxa at high relative abundance and reduced Streptococcus, Gemella, and Porphyromonas taxa relative abundance in patients with neutrophilic asthma. Multivariate regression confirmed that sputum neutrophil proportion was the strongest predictor of microbiota composition.

conclusionsNeutrophilic asthma is associated with airway microbiology that is significantly different from that seen in patients with other inflammatory phenotypes, particularly eosinophilic asthma. Differences in microbiota composition might influence the response to antimicrobial and steroid therapies and the risk of lung infection.

Indexed as

AsthmaBacteriaMicrobiotaRNA, BacterialRNA, Ribosomal, 16SAdultAgedFemaleHumansMaleMiddle AgedNeutrophilsSeverity of Illness IndexRNA, BacterialRNA, Ribosomal, 16SAsthmaeosinophilmicrobiomeneutrophil

Identifiers

PMID28479329

What OpenQuestion holds

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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.