Gene expression data analysis identifies multiple deregulated pathways in patients with asthma.

Autor:	Alrashoudi RH; Clinical Laboratory Science, College of Applied Medical Science, King Saud University, Riyadh 11461, Kingdom of Saudi Arabia., Crane IJ; Infection, Immunity and Inflammation, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen Institute of Medical Sciences, Aberdeen, U.K., Wilson HM; Infection, Immunity and Inflammation, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen Institute of Medical Sciences, Aberdeen, U.K., Al-Alwan M; Stem Cell and Tissue Re-Engineering Program, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.; College of Medicine, Al-Faisal University, Riyadh, Saudi Arabia., Alajez NM; Stem Cell Unit, Department of Anatomy, College of Medicine, King Saud University, Riyadh 11461, Kingdom of Saudi Arabia nalajez@hbku.edu.qa.; Cancer Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar.
Jazyk:	angličtina
Zdroj:	Bioscience reports [Biosci Rep] 2018 Nov 07; Vol. 38 (6). Date of Electronic Publication: 2018 Nov 07 (Print Publication: 2018).
DOI:	10.1042/BSR20180548
Abstrakt:	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. (© 2018 The Author(s).)
Databáze:	MEDLINE
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