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Different Biological Pathways Are Up-regulated in the Elderly With Asthma: Sputum Transcriptomic Analysis

Authors
Kim, Byung-KeunLee, Hyun-SeungSohn, Kyoung-HeeLee, Suh-youngCho, Sang-HeonPark, Heung-Woo
Issue Date
1월-2019
Publisher
KOREAN ACAD ASTHMA ALLERGY & CLINICAL IMMUNOLOGY
Keywords
Asthma; Cluster analysis; Elderly; Gene expression
Citation
ALLERGY ASTHMA & IMMUNOLOGY RESEARCH, v.11, no.1, pp.104 - 115
Indexed
SCIE
SCOPUS
KCI
Journal Title
ALLERGY ASTHMA & IMMUNOLOGY RESEARCH
Volume
11
Number
1
Start Page
104
End Page
115
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/68478
DOI
10.4168/aair.2019.11.1.104
ISSN
2092-7355
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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