Gene expression data analysis identifies multiple deregulated pathways in patients with asthma
<p dir="ltr">Asthma is a chronic inflammatory disorder associated with airway hyper-responsiveness. Although a number of studies have investigated asthma at the molecular level, the molecular immune signatures associated with asthma severity or with the response to corticosteroids ar...
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2018
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| _version_ | 1864513513037234176 |
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| author | Reem H. Alrashoudi (18629731) |
| author2 | Isabel J. Crane (18629734) Heather M. Wilson (18629737) Monther Al-Alwan (197831) Nehad M. Alajez (17930970) |
| author2_role | author author author author |
| author_facet | Reem H. Alrashoudi (18629731) Isabel J. Crane (18629734) Heather M. Wilson (18629737) Monther Al-Alwan (197831) Nehad M. Alajez (17930970) |
| author_role | author |
| dc.creator.none.fl_str_mv | Reem H. Alrashoudi (18629731) Isabel J. Crane (18629734) Heather M. Wilson (18629737) Monther Al-Alwan (197831) Nehad M. Alajez (17930970) |
| dc.date.none.fl_str_mv | 2018-11-07T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1042/bsr20180548 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Gene_expression_data_analysis_identifies_multiple_deregulated_pathways_in_patients_with_asthma/25921087 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biological sciences Genetics Biomedical and clinical sciences Cardiovascular medicine and haematology Immunology asthma allergy gene expression |
| dc.title.none.fl_str_mv | Gene expression data analysis identifies multiple deregulated pathways in patients with asthma |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Asthma is a chronic inflammatory disorder associated with airway hyper-responsiveness. Although a number of studies have investigated asthma at the molecular level, the molecular immune signatures associated with asthma severity or with the response to corticosteroids are still being unraveled. The present study integrated four asthma-related gene expression datasets from the Gene Expression Omnibus and identified immune-gene signatures associated with asthma development, severity, or response to treatment. Normal and mild asthmatic patients clustered separately from the severe asthma group, suggesting substantial progression-related changes in gene expression. Pathway analysis of up-regulated severe asthma-related genes identified multiple cellular processes, such as polymorphism, T-cell development, and transforming growth factor-β signaling. Comparing gene expression profiles of bronchoalveolar lavage cells in response to corticosteroid treatment, showed substantial reductions in genes related to the inflammatory response, including tumor necrosis factor signaling in the corticosteroid sensitive versus resistant patients, suggesting a defective immune response to corticosteroids. The data highlight the multifactorial nature of asthma, but revealed no significant overlap with the gene expression profiles from different datasets interrogated in current studies. The presented profile suggests that genes involved in asthma progression are different from those involved in the response to corticosteroids and this could affect the clinical management of different groups of patients with asthma.</p><h2>Other Information</h2><p dir="ltr">Published in: Bioscience Reports<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1042/bsr20180548" target="_blank">https://dx.doi.org/10.1042/bsr20180548</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_70f250a8418d98920053a76f20ceba5d |
| identifier_str_mv | 10.1042/bsr20180548 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25921087 |
| publishDate | 2018 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Gene expression data analysis identifies multiple deregulated pathways in patients with asthmaReem H. Alrashoudi (18629731)Isabel J. Crane (18629734)Heather M. Wilson (18629737)Monther Al-Alwan (197831)Nehad M. Alajez (17930970)Biological sciencesGeneticsBiomedical and clinical sciencesCardiovascular medicine and haematologyImmunologyasthmaallergygene expression<p dir="ltr">Asthma is a chronic inflammatory disorder associated with airway hyper-responsiveness. Although a number of studies have investigated asthma at the molecular level, the molecular immune signatures associated with asthma severity or with the response to corticosteroids are still being unraveled. The present study integrated four asthma-related gene expression datasets from the Gene Expression Omnibus and identified immune-gene signatures associated with asthma development, severity, or response to treatment. Normal and mild asthmatic patients clustered separately from the severe asthma group, suggesting substantial progression-related changes in gene expression. Pathway analysis of up-regulated severe asthma-related genes identified multiple cellular processes, such as polymorphism, T-cell development, and transforming growth factor-β signaling. Comparing gene expression profiles of bronchoalveolar lavage cells in response to corticosteroid treatment, showed substantial reductions in genes related to the inflammatory response, including tumor necrosis factor signaling in the corticosteroid sensitive versus resistant patients, suggesting a defective immune response to corticosteroids. The data highlight the multifactorial nature of asthma, but revealed no significant overlap with the gene expression profiles from different datasets interrogated in current studies. The presented profile suggests that genes involved in asthma progression are different from those involved in the response to corticosteroids and this could affect the clinical management of different groups of patients with asthma.</p><h2>Other Information</h2><p dir="ltr">Published in: Bioscience Reports<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1042/bsr20180548" target="_blank">https://dx.doi.org/10.1042/bsr20180548</a></p>2018-11-07T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1042/bsr20180548https://figshare.com/articles/journal_contribution/Gene_expression_data_analysis_identifies_multiple_deregulated_pathways_in_patients_with_asthma/25921087CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/259210872018-11-07T03:00:00Z |
| spellingShingle | Gene expression data analysis identifies multiple deregulated pathways in patients with asthma Reem H. Alrashoudi (18629731) Biological sciences Genetics Biomedical and clinical sciences Cardiovascular medicine and haematology Immunology asthma allergy gene expression |
| status_str | publishedVersion |
| title | Gene expression data analysis identifies multiple deregulated pathways in patients with asthma |
| title_full | Gene expression data analysis identifies multiple deregulated pathways in patients with asthma |
| title_fullStr | Gene expression data analysis identifies multiple deregulated pathways in patients with asthma |
| title_full_unstemmed | Gene expression data analysis identifies multiple deregulated pathways in patients with asthma |
| title_short | Gene expression data analysis identifies multiple deregulated pathways in patients with asthma |
| title_sort | Gene expression data analysis identifies multiple deregulated pathways in patients with asthma |
| topic | Biological sciences Genetics Biomedical and clinical sciences Cardiovascular medicine and haematology Immunology asthma allergy gene expression |