Evidence map›Paper›PMID 36598042›Full record

ArticleThorax2023

Th2 high and mast cell gene signatures are associated with corticosteroid sensitivity in COPD.

Alen Faiz, Stelios Pavlidis, Chih-Hsi Kuo, Anthony Rowe, Pieter S Hiemstra, Wim Timens, Marijn Berg, Marissa Wisman, Yi-Ke Guo, Ratko Djukanović and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Thorax, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Inflammasomes in respiratory diseases: from disease pathogenesis to drug development and use of multi-omics.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  3. Review
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  6. Review
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  8. Review
  9. Advances in the awareness of tuberculosis-associated chronic obstructive pulmonary disease.Chinese medical journal pulmonary and critical care medicine · 2024
    Review
  10. Type 2 inflammation in COPD: is it just asthma?Breathe (Sheffield, England) · 2024
    Review
  11. Article
  12. Review
  13. Article
  14. How inhaled corticosteroids target inflammation in COPD.European respiratory review : an official journal of the European Respiratory Society · 2023
    Review
  15. IL-33 Expression Is Lower in Current Smokers at both Transcriptomic and Protein Levels.American journal of respiratory and critical care medicine · 2023
    Article
  16. Eosinophils in chronic obstructive pulmonary disease.Therapeutic advances in respiratory disease
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 9 institutions in 3 countries.

Alen FaizRespiratory Bioinformatics and Molecular Biology, University of Technology Sydney, Ultimo, New South Wales, Australia Alen.Faiz@uts.edu.au.
Stelios PavlidisDepartment of Computing and Data Science Institute, Imperial College London, London, UK.
Chih-Hsi KuoDepartment of Computing and Data Science Institute, Imperial College London, London, UK.
Anthony RoweDiscovery IT, Janssen Research and Development LLC, High Wycombe, UK.
Pieter S HiemstraPulmonology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-0238-5982
Wim TimensGRAIC, University of Groningen, Groningen, The Netherlands.ORCID 0000-0002-4146-6363
Marijn BergGRAIC, University of Groningen, Groningen, The Netherlands.ORCID 0000-0002-9870-1571
Marissa WismanGRAIC, University of Groningen, Groningen, The Netherlands.
Yi-Ke GuoDepartment of Computing and Data Science Institute, Imperial College London, London, UK.
Ratko DjukanovićAcademic Unit of Clinical and Experimental Sciences, Southampton University Faculty of Medicine, Southampton, UK.
Peter SterkRespiratory Medicine, Amsterdam UMC-Locatie AMC, Amsterdam, The Netherlands.
Kerstin B MeyerGene expression genomics, Wellcome Sanger Institute, Hinxton, UK.
Martijn C NawijnGRAIC, University of Groningen, Groningen, The Netherlands.
Ian Adcock *Department of Computing and Data Science Institute, Imperial College London, London, UK.
Kian Fan Chung *Department of Computing and Data Science Institute, Imperial College London, London, UK.
Maarten van den Berge *Pulmonary Diseases, UMCG, Groningen, The Netherlands.
Imperial College London · GBUniversity Medical Center Groningen · NLAmsterdam University Medical Centers · NLJanssen (United Kingdom) · GBLeiden University Medical Center · NLUniversity of Groningen · NLUniversity of Southampton · GBUniversity of Technology Sydney · AUWellcome Sanger Institute · GB

Funding

Linking airway genomics to the pathogenesis and clinical heterogeneity of COPDR01HL095388 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LENBURG, MARC ELLIOTT, SPIRA, AVRUM E · 2008 to 2011
$2.9M
NHLBI NIH HHS R01 HL095388
6 · The paper itself

Abstract

rationaleSevere asthma and chronic obstructive pulmonary disease (COPD) share common pathophysiological traits such as relative corticosteroid insensitivity. We recently published three transcriptome-associated clusters (TACs) using hierarchical analysis of the sputum transcriptome in asthmatics from the Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes (U-BIOPRED) cohort comprising one Th2-high inflammatory signature (TAC1) and two Th2-low signatures (TAC2 and TAC3).

objectiveWe examined whether gene expression signatures obtained in asthma can be used to identify the subgroup of patients with COPD with steroid sensitivity.

methodsUsing gene set variation analysis, we examined the distribution and enrichment scores (ES) of the 3 TACs in the transcriptome of bronchial biopsies from 46 patients who participated in the Groningen Leiden Universities Corticosteroids in Obstructive Lung Disease COPD study that received 30 months of treatment with inhaled corticosteroids (ICS) with and without an added long-acting β-agonist (LABA). The identified signatures were then associated with longitudinal clinical variables after treatment. Differential gene expression and cellular convolution were used to define key regulated genes and cell types. MEASUREMENTS AND MAIN

resultsBronchial biopsies in patients with COPD at baseline showed a wide range of expression of the 3 TAC signatures. After ICS±LABA treatment, the ES of TAC1 was significantly reduced at 30 months, but those of TAC2 and TAC3 were unaffected. A corticosteroid-sensitive TAC1 signature was developed from the TAC1 ICS-responsive genes. This signature consisted of mast cell-specific genes identified by single-cell RNA-sequencing and positively correlated with bronchial biopsy mast cell numbers following ICS±LABA. Baseline levels of gene transcription correlated with the change in RV/TLC %predicted following 30-month ICS±LABA.

conclusionSputum-derived transcriptomic signatures from an asthma cohort can be recapitulated in bronchial biopsies of patients with COPD and identified a signature of airway mast cells as a predictor of corticosteroid responsiveness.

Indexed as

Adrenal Cortex HormonesAsthmaMast CellsPulmonary Disease, Chronic ObstructiveTh2 CellsAdministration, InhalationAdrenergic beta-2 Receptor AgonistsBiomarkersBronchodilator AgentsDrug Therapy, CombinationHumansAdrenal Cortex HormonesAdrenergic beta-2 Receptor AgonistsBiomarkersBronchodilator Agentsairway epitheliumCOPD pathologyoxidative stress

Identifiers

PMID36598042
PMCPMC10086461
OpenAlexW4311845330

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.