ArticleScientific reports2022
Identifying differentially expressed genes and miRNAs in Kawasaki disease by bioinformatics analysis.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- S100 proteins in IgA vasculitis and other systemic vasculitides - from pathogenic mechanisms to clinical biomarkers: a systematic review.Frontiers in immunology · 2026Pooled it
- SPI1 triggers the formation of neutrophil extracellular traps in multiple sclerosis through CXCL4.Journal of molecular histology · 2025Article
- Identification of the pyroptosis, apoptosis, and necroptosis (PANoptosis) involved in osteogenic differentiation inhibition impaired by tumor necrosis factor-α.European journal of medical research · 2025Article
- Identification of potential biomarkers associated with immune cell infiltration patterns in Kawasaki disease via bioinformatics.PloS one · 2025Article
- Combination of CRP and miRNA signature as a potential diagnostic strategy for Kawasaki disease.Frontiers in pediatrics · 2025Article
- The role of lipoprotein‑associated phospholipase A2 in inflammatory response and macrophage infiltration in sepsis and the regulatory mechanisms.Functional & integrative genomics · 2024Article
- Transcriptome meta-analysis of Kawasaki disease in humans and mice.Frontiers in pediatrics · 2024Article
- From Co-Infections to Autoimmune Disease via Hyperactivated Innate Immunity: COVID-19 Autoimmune Coagulopathies, Autoimmune Myocarditis and Multisystem Inflammatory Syndrome in Children.International journal of molecular sciences · 2023Review
- Case report: Cochlear implantation was effective for progressive bilateral severe hearing loss associated with Kawasaki disease.Frontiers in pediatrics · 2023Article
- Identification of key signaling pathways and hub genes related to immune infiltration in Kawasaki disease with resistance to intravenous immunoglobulin based on weighted gene co-expression network analysis.Frontiers in molecular biosciences · 2023Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Kawasaki disease (KD) is an acute systemic immune vasculitis caused by infection, and its etiology and underlying mechanisms are not completely clear. This study aimed to identify differentially expressed genes (DEGs) with diagnostic and treatment potential for KD using bioinformatics analysis. In this study, three KD datasets (GSE68004, GSE73461, GSE18606) were downloaded from the Gene Expression Omnibus (GEO) database. Identification of DEGs between normal and KD whole blood was performed using the GEO2R online tool. Gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analysis of DEGs was undertaken with Metascape. Analysis and visualization of protein-protein interaction networks (PPI) were carried out with STRING and Cytoscape. Lastly, miRNA-genes regulatory networks were built by Cytoscape to predict the underlying microRNAs (miRNAs) associated with DEGs. Overall, 269 DEGs were identified, including 230 up-regulated and 39 down-regulated genes. The enrichment functions and pathways of DEGs involve regulation of defense response, inflammatory response, response to bacterium, and T cell differentiation. KEGG analysis indicates that the genes were significantly enriched in Neutrophil extracellular trap formation, TNF signaling pathway, Cytokine-cytokine receptor interaction, and Primary immunodeficiency. After combining the results of the protein-protein interaction (PPI) network and CytoHubba, 9 hub genes were selected, including TLR8, ITGAX, HCK, LILRB2, IL1B, FCGR2A, S100A12, SPI1, and CD8A. Based on the DEGs-miRNAs network construction, 3 miRNAs including mir-126-3p, mir-375 and mir-146a-5p were determined to be potential key miRNAs. To summarize, a total of 269 DEGs, 9 hub genes and 3 miRNAs were identified, which could be considered as KD biomarkers. However, further studies are needed to clarify the biological roles of these genes in KD.
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