Transcriptomic gene signatures associated with persistent airflow limitation in patients with severe asthma
A proportion of severe asthma patients suffers from persistent airflow limitation (PAL), often associated with more symptoms and exacerbations. Little is known about the underlying mechanisms. Here, our aim was to discover unexplored potential mechanisms using Gene Set Variation Analysis (GSVA), a s...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
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European Respiratory Society
2017
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| Online Access: | https://eprints.nottingham.ac.uk/51852/ |
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| author | Hekking, Pieter-Paul Loza, Matthew J. Pavlidis, Stelios De Meulder, Bertrand Lefaudeux, Diane Baribaud, Frederic Auffray, Charles Wagener, Ariane H. Brinkman, Paul Lutter, René Bansal, Aruna T. Sousa, Ana R. Bates, Stewart A. Pandis, Ioannis Fleming, Louise J. Shaw, Dominick E. Fowler, Stephen J. Guo, Yike Meiser, Andrea Sun, Kai Corfield, Julie Howarth, Peter Bel, Elisabeth H. Adcock, Ian M. Chung, Kian Fan Djukanovic, Ratko Sterk, Peter J. |
| author_facet | Hekking, Pieter-Paul Loza, Matthew J. Pavlidis, Stelios De Meulder, Bertrand Lefaudeux, Diane Baribaud, Frederic Auffray, Charles Wagener, Ariane H. Brinkman, Paul Lutter, René Bansal, Aruna T. Sousa, Ana R. Bates, Stewart A. Pandis, Ioannis Fleming, Louise J. Shaw, Dominick E. Fowler, Stephen J. Guo, Yike Meiser, Andrea Sun, Kai Corfield, Julie Howarth, Peter Bel, Elisabeth H. Adcock, Ian M. Chung, Kian Fan Djukanovic, Ratko Sterk, Peter J. |
| author_sort | Hekking, Pieter-Paul |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | A proportion of severe asthma patients suffers from persistent airflow limitation (PAL), often associated with more symptoms and exacerbations. Little is known about the underlying mechanisms. Here, our aim was to discover unexplored potential mechanisms using Gene Set Variation Analysis (GSVA), a sensitive technique that can detect underlying pathways in heterogeneous samples.
Severe asthma patients from the U-BIOPRED cohort with PAL (post-bronchodilator forced expiratory volume in 1 s/forced vital capacity ratio below the lower limit of normal) were compared with those without PAL. Gene expression was assessed on the total RNA of sputum cells, nasal brushings, and endobronchial brushings and biopsies. GSVA was applied to identify differentially enriched predefined gene signatures based on all available gene expression publications and data on airways disease.
Differentially enriched gene signatures were identified in nasal brushings (n=1), sputum (n=9), bronchial brushings (n=1) and bronchial biopsies (n=4) that were associated with response to inhaled steroids, eosinophils, interleukin-13, interferon-α, specific CD4+ T-cells and airway remodelling.
PAL in severe asthma has distinguishable underlying gene networks that are associated with treatment, inflammatory pathways and airway remodelling. These findings point towards targets for the therapy of PAL in severe asthma. |
| first_indexed | 2025-11-14T20:22:10Z |
| format | Article |
| id | nottingham-51852 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:22:10Z |
| publishDate | 2017 |
| publisher | European Respiratory Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-518522020-05-04T19:08:40Z https://eprints.nottingham.ac.uk/51852/ Transcriptomic gene signatures associated with persistent airflow limitation in patients with severe asthma Hekking, Pieter-Paul Loza, Matthew J. Pavlidis, Stelios De Meulder, Bertrand Lefaudeux, Diane Baribaud, Frederic Auffray, Charles Wagener, Ariane H. Brinkman, Paul Lutter, René Bansal, Aruna T. Sousa, Ana R. Bates, Stewart A. Pandis, Ioannis Fleming, Louise J. Shaw, Dominick E. Fowler, Stephen J. Guo, Yike Meiser, Andrea Sun, Kai Corfield, Julie Howarth, Peter Bel, Elisabeth H. Adcock, Ian M. Chung, Kian Fan Djukanovic, Ratko Sterk, Peter J. A proportion of severe asthma patients suffers from persistent airflow limitation (PAL), often associated with more symptoms and exacerbations. Little is known about the underlying mechanisms. Here, our aim was to discover unexplored potential mechanisms using Gene Set Variation Analysis (GSVA), a sensitive technique that can detect underlying pathways in heterogeneous samples. Severe asthma patients from the U-BIOPRED cohort with PAL (post-bronchodilator forced expiratory volume in 1 s/forced vital capacity ratio below the lower limit of normal) were compared with those without PAL. Gene expression was assessed on the total RNA of sputum cells, nasal brushings, and endobronchial brushings and biopsies. GSVA was applied to identify differentially enriched predefined gene signatures based on all available gene expression publications and data on airways disease. Differentially enriched gene signatures were identified in nasal brushings (n=1), sputum (n=9), bronchial brushings (n=1) and bronchial biopsies (n=4) that were associated with response to inhaled steroids, eosinophils, interleukin-13, interferon-α, specific CD4+ T-cells and airway remodelling. PAL in severe asthma has distinguishable underlying gene networks that are associated with treatment, inflammatory pathways and airway remodelling. These findings point towards targets for the therapy of PAL in severe asthma. European Respiratory Society 2017-09-27 Article PeerReviewed Hekking, Pieter-Paul, Loza, Matthew J., Pavlidis, Stelios, De Meulder, Bertrand, Lefaudeux, Diane, Baribaud, Frederic, Auffray, Charles, Wagener, Ariane H., Brinkman, Paul, Lutter, René, Bansal, Aruna T., Sousa, Ana R., Bates, Stewart A., Pandis, Ioannis, Fleming, Louise J., Shaw, Dominick E., Fowler, Stephen J., Guo, Yike, Meiser, Andrea, Sun, Kai, Corfield, Julie, Howarth, Peter, Bel, Elisabeth H., Adcock, Ian M., Chung, Kian Fan, Djukanovic, Ratko and Sterk, Peter J. (2017) Transcriptomic gene signatures associated with persistent airflow limitation in patients with severe asthma. European Respiratory Journal, 50 (3). p. 1602298. ISSN 1399-3003 https://doi.org/10.1183/13993003.02298-2016 doi:10.1183/13993003.02298-2016 doi:10.1183/13993003.02298-2016 |
| spellingShingle | Hekking, Pieter-Paul Loza, Matthew J. Pavlidis, Stelios De Meulder, Bertrand Lefaudeux, Diane Baribaud, Frederic Auffray, Charles Wagener, Ariane H. Brinkman, Paul Lutter, René Bansal, Aruna T. Sousa, Ana R. Bates, Stewart A. Pandis, Ioannis Fleming, Louise J. Shaw, Dominick E. Fowler, Stephen J. Guo, Yike Meiser, Andrea Sun, Kai Corfield, Julie Howarth, Peter Bel, Elisabeth H. Adcock, Ian M. Chung, Kian Fan Djukanovic, Ratko Sterk, Peter J. Transcriptomic gene signatures associated with persistent airflow limitation in patients with severe asthma |
| title | Transcriptomic gene signatures associated with persistent airflow limitation in patients with severe asthma |
| title_full | Transcriptomic gene signatures associated with persistent airflow limitation in patients with severe asthma |
| title_fullStr | Transcriptomic gene signatures associated with persistent airflow limitation in patients with severe asthma |
| title_full_unstemmed | Transcriptomic gene signatures associated with persistent airflow limitation in patients with severe asthma |
| title_short | Transcriptomic gene signatures associated with persistent airflow limitation in patients with severe asthma |
| title_sort | transcriptomic gene signatures associated with persistent airflow limitation in patients with severe asthma |
| url | https://eprints.nottingham.ac.uk/51852/ https://eprints.nottingham.ac.uk/51852/ https://eprints.nottingham.ac.uk/51852/ |