Evidence map›Paper›PMID 38128411›Full record

ArticleEBioMedicine2024

Proteomic signatures of eosinophilic and neutrophilic asthma from serum and sputum.

Khezia Asamoah, Kian Fan Chung, Nazanin Zounemat Kermani, Barbara Bodinier, Sven-Erik Dahlen, Ratko Djukanovic, Pankaj K Bhavsar, Ian M Adcock, Dragana Vuckovic, Marc Chadeau-Hyam and 1 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
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  5. Article
  6. Current understanding and future directions in severe asthma through artificial intelligence-integrated multi-omic approaches.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Achieving remission in severe asthma.Chinese medical journal pulmonary and critical care medicine · 2025
    Review
  13. Dipeptidyl peptidase-1 inhibitors in bronchiectasis.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  14. Review
  15. Nasal Epithelium Transcriptomics Predict Clinical Response to Elexacaftor/Tezacaftor/Ivacaftor.American journal of respiratory cell and molecular biology · 2024
    Article
  16. Article
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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

11 authors at 5 institutions in 3 countries.

Khezia AsamoahMRC Centre for Environment and Health & Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, United Kingdom.
Kian Fan ChungData Science Institute, Department of Computing, Imperial College London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton and Harefield Hospital, London, United Kingdom.
Nazanin Zounemat KermaniData Science Institute, Department of Computing, Imperial College London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Barbara BodinierMRC Centre for Environment and Health & Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, United Kingdom.
Sven-Erik DahlenInstitute of Environmental Medicine and Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden; Department of Respiratory Medicine, Karolinska University Hospital, Stockholm, Sweden.
Ratko DjukanovicClinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom; National Institute for Health Research Southampton Biomedical Research Centre, Southampton, United Kingdom.
Pankaj K BhavsarNational Heart and Lung Institute, Imperial College London, London, United Kingdom.
Ian M AdcockData Science Institute, Department of Computing, Imperial College London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Dragana VuckovicMRC Centre for Environment and Health & Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, United Kingdom.
Marc Chadeau-HyamMRC Centre for Environment and Health & Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, United Kingdom. Electronic address: m.chadeau@imperial.ac.uk.
U-BIOPRED Study Group
Imperial College London · GBLung Institute · USHarefield Hospital · GBKarolinska University Hospital · SENational Institute for Health Research · GB

Funding

Cancer Research UK 22184Medical Research Council MR/S019669/1
6 · The paper itself

Abstract

backgroundEosinophilic and neutrophilic asthma defined by high levels of blood and sputum eosinophils and neutrophils exemplifies the inflammatory heterogeneity of asthma, particularly severe asthma. We analysed the serum and sputum proteome to identify biomarkers jointly associated with these different phenotypes.

methodsProteomic profiles (N = 1129 proteins) were assayed in sputum (n = 182) and serum (n = 574) from two cohorts (U-BIOPRED and ADEPT) of mild-moderate and severe asthma by SOMAscan. Using least absolute shrinkage and selection operator (LASSO)-penalised logistic regression in a stability selection framework, we sought sparse sets of proteins associated with either eosinophilic or neutrophilic asthma with and without adjustment for established clinical factors including oral corticosteroid use and forced expiratory volume.

findingsWe identified 13 serum proteins associated with eosinophilic asthma, including 7 (PAPP-A, TARC/CCL17, ALT/GPT, IgE, CCL28, CO8A1, and IL5-Rα) that were stably selected while adjusting for clinical factors yielding an AUC of 0.84 (95% CI: 0.83-0.84) compared to 0.62 (95% CI: 0.61-0.63) for clinical factors only. Sputum protein analysis selected only PAPP-A (AUC = 0.81 [95% CI: 0.80-0.81]). 12 serum proteins were associated with neutrophilic asthma, of which 5 (MMP-9, EDAR, GIIE/PLA2G2E, IL-1-R4/IL1RL1, and Elafin) complemented clinical factors increasing the AUC from 0.63 (95% CI: 0.58-0.67) for the model with clinical factors only to 0.89 (95% CI: 0.89-0.90). Our model did not select any sputum proteins associated with neutrophilic status.

interpretationTargeted serum proteomic profiles are a non-invasive and scalable approach for subtyping of neutrophilic and eosinophilic asthma and for future functional understanding of these phenotypes.

fundingU-BIOPRED has received funding from the Innovative Medicines Initiative (IMI) Joint Undertaking under grant agreement no. 115010, resources of which are composed of financial contributions from the European Union's Seventh Framework Programme (FP7/2007-2013), and European Federation of Pharmaceutical Industries and Associations (EFPIA) companies' in-kind contributions (www.imi.europa.eu). ADEPT was funded by Johnson & Johnson/Janssen pharmaceutical Company.

Indexed as

AsthmaSputumBlood ProteinsHumansNeutrophilsPregnancy-Associated Plasma Protein-AProteomicsBlood ProteinsPregnancy-Associated Plasma Protein-AAsthmaEosinophilLASSONeutrophilProteomicsSerumSputum

Identifiers

PMID38128411
PMCPMC10776923
OpenAlexW4389986611

What OpenQuestion holds

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LicenceCC BY
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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.