ArticleJournal of inflammation research2024
Bioinformatics Analysis and Experimental Validation to Identify Key Glycosylation-Related Genes in Asthma.
Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Emerging Mechanistic Links Between Fucosylation and Senescence in Lung Diseases.Journal of respiratory biology and translational medicine · 2026Article
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Authors and funding
5 authors.
Funding
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Abstract
Purpose: Asthma is a chronic inflammatory disease influenced by complex genetic and environmental factors. Despite extensive research, the intricate pathophysiology of asthma remains incompletely understood. Furthermore, the effects of glycosylation on asthma remain unclear. Considering that glycosylation-related genes have not been reported in patients with asthma, we aimed in this study to identify key glycosylation-related genes involved in asthma and their potential as therapeutic targets. Material and Methods: In the GSE63142 microarray dataset, we performed weighted gene co-expression network, protein-protein interaction network, Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathway enrichment, and CIBERSORT analyses to identify glycosylation-related genes associated with asthma. Subsequently, these key genes were validated in the GSE67472 microarray dataset and BEAS-2B cells. Correlation analysis of key gene expression and clinical characteristics of asthma patients were performed using Spearman correlation analysis. Results: Six key glycosylation-related genes related to asthma were identified: FUT5, FUT3, HCRT, B3GNT6, KDELR3, and SCGB1A1. Expression of FUT5, FUT3, B3GNT6, and KDELR3 was significantly upregulated and that of HCRT and SCGB1A1 significantly downregulated in BEAS-2B cells stimulated with IL-13/IL-4. Moreover, expression of key glycosylation-related genes in the peripheral blood of asthma patients correlated strongly with lung function and eosinophils. Conclusion: Our findings have implications for identifying potential therapeutic targets and prognostic markers for asthma.
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