Caiwen Wang, Zhimei Liu, Xiaoting Ren, Yiquan Li, Liping Sun
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引用次数: 0
Abstract
Purpose: To develop efficient diagnostic and treatment approaches, gaining an in-depth knowledge of the molecular mechanisms and potential targets causing childhood asthma is of utmost significance.
Methods: Childhood asthma datasets were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between asthmatic child and healthy people were screened by the Limma package. DEGs were subjected to further analyses utilizing GO, KEGG and GSEA analysis. The hub genes associated with childhood asthma were discovered by PPI analysis. The drugs target hub genes were accessed from the DrugBank database. Autodock vina was used to explore the binding ability of targeted drugs to hub genes.
Results: Total 80 DEGs were selected from GSE152004 and GSE65204 datasets. The cytokine-cytokine receptor interaction was the key pathway identified by functional enrichment analysis of shared DEGs. A total of 4 hub genes (CCL26, CXCR6, IL18RAP and CCL20) were identified by the constructed PPI network, among which CXCR6, IL18RAP and CCL20 were significantly decreased in childhood asthma datasets. Whereas, the CCL26 was significantly increased in childhood asthma datasets. Additionally, the extra dataset GSE19187 and GSE240567 were employed for validation. Ultimately, drugs (Cimetidine, Cefaclor and Propofol) that target hub genes have favorable combination ability.
Conclusions: We have determined that CCL26, CXCR6, IL18RAP and CCL20 might have crucial involvement in the advancement of childhood asthma, thus having the potential to be targeted therapeutically in order to enhance treatment choices for childhood asthma. Statement of Integration, Innovation and Insight: The cytokine-cytokine receptor interaction is a key pathway in the occurrence of childhood asthma. The hub genes (CCL26, CXCR6, IL18RAP and CCL20) affect the development of childhood asthma. The drugs (Cimetidine, Cefaclor and Propofol) that target hub genes have favorable combination ability.
期刊介绍：
Integrative Biology publishes original biological research based on innovative experimental and theoretical methodologies that answer biological questions. The journal is multi- and inter-disciplinary, calling upon expertise and technologies from the physical sciences, engineering, computation, imaging, and mathematics to address critical questions in biological systems.
Research using experimental or computational quantitative technologies to characterise biological systems at the molecular, cellular, tissue and population levels is welcomed. Of particular interest are submissions contributing to quantitative understanding of how component properties at one level in the dimensional scale (nano to micro) determine system behaviour at a higher level of complexity.
Studies of synthetic systems, whether used to elucidate fundamental principles of biological function or as the basis for novel applications are also of interest.
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