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Sputum transcriptomic analysis of air pollutant signatures: link to asthma severity and phenotype

Angelica Tiotiu, Yusef Badi, Hisham Abubakr-Waziri, Ali Versi, Coen Wiegman, Philip M. Hansbro, Sharon Mumby, Sven-Erik Dahlen, Peter Sterk, Ratko Djukanovic, Ian M. Adkock, Kian Fan Chung
European Respiratory Journal 2021 58: PA1783; DOI: 10.1183/13993003.congress-2021.PA1783
Angelica Tiotiu
1University Hospital of Nancy, Nancy, France
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  • For correspondence: angelica.tiotiu@yahoo.com
Yusef Badi
2Data Science Institute, Department of Computing, Imperial College London, London, United Kingdom
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Hisham Abubakr-Waziri
3National Heart & Lung Institute, Imperial College London, London, United Kingdom
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Ali Versi
2Data Science Institute, Department of Computing, Imperial College London, London, United Kingdom
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Coen Wiegman
3National Heart & Lung Institute, Imperial College London, London, United Kingdom
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Philip M. Hansbro
4Priority Research Centre for Healthy Lungs, Hunter Medical Research Institute and the University of Newcastle, Newcastle, Australia
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Sharon Mumby
3National Heart & Lung Institute, Imperial College London, London, United Kingdom
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Sven-Erik Dahlen
5The Centre for Allergy Research, The Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
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Peter Sterk
6Faculty of Medicine, University of Amsterdam, Amsterdam, Netherlands
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Ratko Djukanovic
7NIHR Southampton Respiratory Biomedical Research Unit, University Hospital Southampton, Southampton, United Kingdom
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Ian M. Adkock
3National Heart & Lung Institute, Imperial College London, London, United Kingdom
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Kian Fan Chung
3National Heart & Lung Institute, Imperial College London, London, United Kingdom
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Abstract

Sputum transcriptomic analysis of air pollutant signatures: link to asthma severity and phenotype

Background: Air pollution could increase the risk of asthma exacerbations but those who are most at risk remain undefined.

Aim: To determine the prevalence of gene signatures induced by exposure to components of air pollution in sputum transcriptomics of the U-BIOPRED cohort.

Methods: Enrichment scores(ES) in sputum cells from 61 non-smokers severe asthma(SAns), 20 mild-moderate asthma(MMA) patients and 16 healthy-volunteers(HV) were analyzed for published signatures after ozone, SO2, NO2, NOx, PM2.5, and PM10 exposure(acute:<24 hours, short-term:1-21 days, mid-term:3 weeks-6 months or chronic:6 months-5 years). Using gene set variation analysis(GSVA), we calculated ES across severity, inflammatory phenotype, exacerbation frequency(≥3/year), and airflow limitation(FEV1/FVC<0.7).

Results: Most pollutant gene signatures were enriched in SAns vs MMA/HV with significant differences for acute exposure to ozone and SO2(all p<0.02), mid-term exposure to ozone and PM2.5(all p<0.03) and chronic exposure to PM2.5 and NOx(all p<0.04).Acute and mid-term exposures were associated with a mixed/neutrophilic inflammation(all p<0.02), whereas chronic exposure with mixed/eosinophilic phenotypes(all p<0.01).No pollutants were associated with an exacerbation-prone phenotype. Only acute exposure to ozone and chronic exposure to PM2.5 or NOx were associated with airflow limitation(all p<0.03).

Conclusions: Chronic exposure to constituents of air pollution may be linked to the development of more severe asthma, both neutrophilic as well as eosinophilic inflammation and to airflow obstruction, but not to exacerbations.

  • Air pollution
  • Asthma - management
  • Genomics

Footnotes

Cite this article as: European Respiratory Journal 2021; 58: Suppl. 65, PA1783.

This abstract was presented at the 2021 ERS International Congress, in session “Prediction of exacerbations in patients with COPD”.

This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only).

  • Copyright ©the authors 2021
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Sputum transcriptomic analysis of air pollutant signatures: link to asthma severity and phenotype
Angelica Tiotiu, Yusef Badi, Hisham Abubakr-Waziri, Ali Versi, Coen Wiegman, Philip M. Hansbro, Sharon Mumby, Sven-Erik Dahlen, Peter Sterk, Ratko Djukanovic, Ian M. Adkock, Kian Fan Chung
European Respiratory Journal Sep 2021, 58 (suppl 65) PA1783; DOI: 10.1183/13993003.congress-2021.PA1783

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Sputum transcriptomic analysis of air pollutant signatures: link to asthma severity and phenotype
Angelica Tiotiu, Yusef Badi, Hisham Abubakr-Waziri, Ali Versi, Coen Wiegman, Philip M. Hansbro, Sharon Mumby, Sven-Erik Dahlen, Peter Sterk, Ratko Djukanovic, Ian M. Adkock, Kian Fan Chung
European Respiratory Journal Sep 2021, 58 (suppl 65) PA1783; DOI: 10.1183/13993003.congress-2021.PA1783
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