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Different Biological Pathways Are Up-regulated in the Elderly With Asthma: Sputum Transcriptomic Analysis
Article in En | WPRIM | ID: wpr-719508
Responsible library: WPRO
ABSTRACT
BACKGROUND: Elderly asthma (EA) is increasing, but the pathogenesis is unclear. This study aimed to identify EA-related biological pathways by analyzing genome-wide gene expression profiles in sputum cells. METHODS: A total of 3,156 gene probes with significantly differential expressions between EA and healthy elderly controls were used for a hierarchical clustering of genes to identify gene clusters. Gene set enrichment analysis provided biological information, with replication from Gene Expression Omnibus expression profiles. RESULTS: Fifty-five EA patients and 10 elderly control subjects were enrolled. Two distinct gene clusters were found. Cluster 1 (n = 35) showed a lower eosinophil proportion in sputum and less severe airway obstruction compared to cluster 2 (n = 20). The replication data set also identified 2 gene clusters (clusters 1' and 2'). Among 5 gene sets significantly enriched in cluster 1 and 3 gene sets significantly enriched in cluster 2, we confirmed that 2 were significantly enriched in the replication data set (OXIDATIVE_PHOSPHORYLATION gene set in cluster 1 and EPITHELIAL MESENCHYMAL TRANSITION gene set in cluster 2'). CONCLUSIONS: The findings of 2 distinct gene clusters in EA and different biological pathways in each gene cluster suggest 2 different pathogenesis mechanisms underlying EA.
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Full text: 1 Index: WPRIM Main subject: Asthma / Sputum / Cluster Analysis / Gene Expression / Multigene Family / Airway Obstruction / Eosinophils / Epithelial-Mesenchymal Transition / Transcriptome / Dataset Type of study: Prognostic_studies Limits: Aged / Humans Language: En Journal: Allergy, Asthma & Immunology Research Year: 2019 Type: Article
Full text: 1 Index: WPRIM Main subject: Asthma / Sputum / Cluster Analysis / Gene Expression / Multigene Family / Airway Obstruction / Eosinophils / Epithelial-Mesenchymal Transition / Transcriptome / Dataset Type of study: Prognostic_studies Limits: Aged / Humans Language: En Journal: Allergy, Asthma & Immunology Research Year: 2019 Type: Article