ArticleAmerican journal of translational research2023
Bioinformatics analysis and verification of key candidate genes influencing the pathogenesis of chronic rhinosinusitis with nasal polyps.
Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Prognostic value of preoperative CCL26 serum levels in the surgical treatment of chronic rhinosinusitis.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026Article
- Dysregulated glycosaminoglycan biosynthesis and retinoid metabolism in chronic rhinosinusitis with nasal polyps: insights from a comprehensive transcriptomic analysis.Frontiers in immunology · 2026Article
- Immuno-transcriptomic analysis based on machine learning identifies immunity signature genes of chronic rhinosinusitis with nasal polyps.Scientific reports · 2025Article
- Discovering biomarkers for chronic sinusitis with nasal polyps: a study integrating bioinformatics analysis and experimental validation of macrophage polarization and metabolism-related genes.Frontiers in bioinformatics · 2025Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesChronic rhinosinusitis (CRS) with nasal polyps (CRSwNP) is a prominent public health issue. Furthermore, the prognosis of eosinophilic CRSwNP is poor, with a high recurrence rate. The underlying molecular mechanisms of eosinophilic CRSwNP remain unclear. Therefore, in this study, we sought to determine the crucial genes underlying eosinophil infiltration in eosinophilic CRSwNP pathogenesis.
methodsWe used the Gene Expression Omnibus database (GEO) (GSE36830 and GSE23552 datasets) to mine gene expression profiles of CRSwNP patients and normal subjects. Differentially expressed genes (DEGs) between normal and CRSwNP tissues were identified and subjected to the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analyses. Co-expression networks were established using a weighted gene co-expression network analysis (WGCNA) and single-sample gene set enrichment analysis (GSEA). Protein-protein interaction networks were developed to detect functional protein modules. Based on the common DEGs, candidate miRNAs and related lncRNAs were predicted using the mirTarBase and StarBase databases. Finally, we generated immune cell subtypes of CRSwNP.
resultsA total of 146 DEGs were identified. Of these, 131 genes were upregulated, whereas 15 were downregulated. GO analysis indicated that DEGs primarily participated in leukocyte chemotaxis and migration as well as cell chemotaxis. KEGG pathway analysis suggested that DEGs participated in the interactions between cytokines and viral proteins, osteoclast differentiation, and cytokine-cytokine receptor interactions. Real-time quantitative polymerase chain reaction analysis showed that
conclusionsThe candidate genes identified in this study may influence the activation and accumulation of eosinophils, cell chemotaxis, and inflammatory responses, thereby potentially representing molecular targets for future studies of CRSwNP.
Indexed as
Identifiers
36915741PMC10006810W4324128505What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.