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Discovery and Validation of a Volatile Signature of Eosinophilic Airway Inflammation in Asthma

  • Rosa Peltrini
  • , Rebecca L Cordell
  • , Michael Wilde
  • , Shahd Abuhelal
  • , Eleanor Quek
  • , Nazanin Zounemat-Kermani
  • , Wadah Ibrahim
  • , Matthew Richardson
  • , Paul Brinkman
  • , Florence Schleich
  • , Pierre-Hugues Stefanuto
  • , Hnin Aung
  • , Neil Greening
  • , Sven Erik Dahlen
  • , Ratko Djukanovic
  • , Ian M Adcock
  • , Christopher Brightling
  • , Paul Monks
  • , Salman Siddiqui
  • University of Leicester
  • Imperial College London
  • Institute for Lung Health
  • Amsterdam UMC - Locatie AMC, Department of Respiratory Medicine, Amsterdam, North Holland, Netherlands.
  • CHU de Liege - Hospital Sart Tilman
  • University of Liege
  • Universtiy of Leicester, Department of Respiratory Sciences, Leicester, United Kingdom of Great Britain and Northern Ireland.
  • Karolinska Institute
  • University of Southampton

Research output: Contribution to journalArticlepeer-review

Abstract

RATIONALE: Volatile organic compounds (VOCs) in asthmatic breath may be associated with sputum eosinophilia. We developed a volatile biomarker-signature to predict sputum eosinophilia in asthma.

METHODS: VOCs emitted into the space above sputum samples (headspace) from severe asthmatics (n=36) were collected onto sorbent tubes and analysed using thermal desorption gas chromatography-mass spectrometry (TD-GC-MS). Elastic net regression identified stable VOCs associated with sputum eosinophilia ≥3% and generated a volatile biomarker signature. This VOC signature was validated in breath samples from: (I) acute asthmatics according to blood eosinophilia ≥0.3x109cells/L or sputum eosinophilia of ≥ 3% in the UK EMBER consortium (n=65) and U-BIOPRED-IMI consortium (n=42). Breath samples were collected onto sorbent tubes (EMBER) or Tedlar bags (U-BIOPRED) and analysed by gas-chromatography-mass spectrometry (GC×GC-MS -EMBER or GC-MS -U-BIOPRED).

MAIN RESULTS: The in vitro headspace identified 19 VOCs associated with sputum eosinophilia and the derived VOC signature yielded good diagnostic accuracy for sputum eosinophilia ≥ 3% in headspace (AUROC (95% CI) 0.90(0.80-0.99), p<0.0001), correlated inversely with sputum eosinophil % (rs= -0.71, p<0.0001) and outperformed FeNO (AUROC (95% CI) 0.61(0.35-0.86). Analysis of exhaled breath in replication cohorts yielded a VOC signature AUROC (95% CI) for acute asthma exacerbations of 0.89(0.76-1.0) (EMBER cohort) with sputum eosinophilia and 0.90(0.75-1.0) in U-BIOPRED - again outperforming FeNO in U-BIOPRED 0.62 (0.33-0.90).

CONCLUSIONS: We have discovered and provided early-stage clinical validation of a volatile biomarker signature associated with eosinophilic airway inflammation. Further work is needed to translate our discovery using point of care clinical sensors.

Original languageEnglish
Pages (from-to)1101-1112
JournalAmerican Journal of Respiratory and Critical Care Medicine
Volume210
Issue number9
Early online date1 Nov 2024
DOIs
Publication statusPublished - 1 Nov 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine
  • Critical Care and Intensive Care Medicine

Keywords

  • Eosinophilic airway inflammation, VOC biomarkers, Severe asthma
  • Gas Chromatography-Mass Spectrometry
  • Humans
  • Middle Aged
  • Biomarkers/analysis
  • Male
  • Volatile Organic Compounds/analysis
  • Eosinophilia
  • Asthma/diagnosis
  • Sputum
  • Pulmonary Eosinophilia/diagnosis
  • Female
  • Adult
  • Aged
  • Breath Tests/methods
  • volatile organic compound biomarkers
  • eosinophilic airway inflammation
  • severe asthma

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