Wu W, You K, Zhong J, Ruan Z, Wang B. Identification of potential core genes in Kawasaki disease using bioinformatics analysis.
J Int Med Res 2019;
47:4051-4058. [PMID:
31387475 PMCID:
PMC6753572 DOI:
10.1177/0300060519862057]
[Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Objective
The present study aimed to elucidate the underlying pathogenesis of Kawasaki
disease (KD) and to identify potential biomarkers for KD.
Methods
Gene expression profiles for the GSE68004 dataset were downloaded from the
Gene Expression Omnibus database. The pathways and functional annotations of
differentially expressed genes (DEGs) in KD were examined by Gene Ontology
and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses
using the Database for Annotation, Visualization and Integrated Discovery
(DAVID) tool. Protein–protein interactions of the above-described DEGs were
investigated using the Search Tool for the Retrieval of Interacting Genes
(STRING).
Results
Gene Ontology analysis revealed that DEGs in KD were significantly enriched
in biological processes, including the inflammatory response, innate immune
response, defense response to Gram-positive bacteria, and antibacterial
humoral response. In addition, 10 hub genes with high connectivity were
selected from among these DEGs (ITGAM,
MPO, MAPK14, SLC11A1,
HIST2H2BE, ELANE,
CAMP, MMP9, NTS, and
HIST2H2AC).
Conclusion
The identification of several novel hub genes in KD enhances our
understanding of the molecular mechanisms underlying the progression of this
disease. These genes may be potential diagnostic biomarkers and/or
therapeutic molecular targets in patients with KD. ITGAM inhibitors in
particular may be potential targets for KD therapy.
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