The Expression of Glycoprotein Genes in the Inflammatory Process of Kawasaki Disease

Kuo, Kuang-Che; Yang, Ya‐Ling; Lo, Mao‐Hung; Cai, Xin-Yuan; Kuo, Ho-Chang; Huang, Ying‐Hsien

doi:10.3389/fped.2020.592122

Cited by 3 publications

(3 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…CLEC4D (Dectin-2 cluster ″ of C-type lectin receptor) is expressed exclusively by macrophages and is involved in the occurrence of pancreatic ductal adenocarcinoma [32]. A study by Kuo et al demonstrated the hyperexpression of CLEC4D in peripheral leukocytes during acute phase of Kawasaki disease and its strong correlation to IVIG treatment resistance [33].…”

Section: Discussionmentioning

confidence: 99%

Crucial Genes in Aortic Dissection Identified by Weighted Gene Coexpression Network Analysis

Zhang

Chen

Lin

et al. 2022

Journal of Immunology Research

View full text Add to dashboard Cite

Background. Aortic dissection (AD) is a lethal vascular disease with high mortality and morbidity. Though AD clinical pathology is well understood, its molecular mechanisms remain unclear. Specifically, gene expression profiling helps illustrate the potential mechanism of aortic dissection in terms of gene regulation and its modification by risk factors. This study was aimed at identifying the genes and molecular mechanisms in aortic dissection through bioinformatics analysis. Method. Nine patients with AD and 10 healthy controls were enrolled. The gene expression in peripheral mononuclear cells was profiled through next-generation RNA sequencing. Analyses including differential expressed gene (DEG) via DEGseq, weighted gene coexpression network (WGCNA), and VisANT were performed to identify crucial genes associated with AD. The Database for Annotation, Visualization, and Integrated Discovery (DAVID) was also utilized to analyze Gene Ontology (GO). Results. DEG analysis revealed that 1,113 genes were associated with AD. Of these, 812 genes were markedly reduced, whereas 301 genes were highly expressed, in AD patients. DEGs were rich in certain categories such as MHC class II receptor activity, MHC class II protein complex, and immune response genes. Gene coexpression networks via WGCNA identified 3 gene hub modules, with one positively and 2 negatively correlated with AD, respectively. Specifically, module 37 was the most strongly positively correlated with AD with a correlation coefficient of 0.72. Within module 37, five hub genes (AGFG1, MCEMP1, IRAK3, KCNE1, and CLEC4D) displayed high connectivity and may have clinical significance in the pathogenesis of AD. Conclusion. Our analysis provides the possible association of specific genes and gene modules for the involvement of the immune system in aortic dissection. AGFG1, MCEMP1, IRAK3, KCNE1, and CLEC4D in module M37 were highly connected and strongly linked with AD, suggesting that these genes may help understand the pathogenesis of aortic dissection.

show abstract

Section: Discussionmentioning

confidence: 99%

Crucial Genes in Aortic Dissection Identified by Weighted Gene Coexpression Network Analysis

Zhang

Chen

Lin

et al. 2022

Journal of Immunology Research

View full text Add to dashboard Cite

show abstract

“…In our previous research using Human Transcriptome Array 2.0 (HTA 2.0, Affymetrix, Santa Clara), we found that patients with KD exhibited the most increased inflammatory gene expression in the acute phase of KD compared to controls; meanwhile, these genes decrease after patients receive intravenous immunoglobulin (IVIG) therapy [ 9 , 10 , 11 , 12 ]. Among them, KD patients showed significantly increased expression of almost all known toll-like receptors (TLRs), with the exception of TLR3 and TLR7 [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

“…Most previous studies have focused on the genes activated in the acute phase of KD [ 10 , 11 ]. In this study, we focused on the suppressed genes in the acute stage of KD and identified novel targets with a clinical significance and potential prognostic value for KD patients.…”

Section: Introductionmentioning

confidence: 99%

Human Transcriptome Array Analysis Identifies CDR2 as a Novel Suppressed Gene for Kawasaki Disease

et al. 2022

Self Cite

View full text Add to dashboard Cite

Kawasaki disease (KD) is a febrile childhood vasculitis that involves the coronary arteries. Most previous studies have focused on the genes activated in the acute phase of KD. However, in this study, we focused on suppressed genes in the acute stage of KD and identified novel targets with clinical significance and potential prognostic value for KD patients. We enrolled 18 patients with KD, 18 healthy controls (HC), and 18 febrile controls (FC) for human transcriptome array analysis. Another 19 healthy controls, 20 febrile controls, and 31 patients with KD were recruited for RT-PCR validation of target mRNA expressions. The results of Human Transcriptome Array (HTA) 2.0 showed 461 genes that were significantly higher in KD and then normalized after IVIG, as well as 99 suppressed genes in KD. Furthermore, we identified the four genes in KD with the most downregulation, including BCL11B, DUSP2, DDX24, and CDR2, as well as the upregulation of their expression following IVIG administration. The mRNA expression of CDR2 by qRT-PCR was the most compatible with the pattern of the HTA2.0 results. Furthermore, we found higher DDX24 mRNA expression in KD patients with CAL when compared to those without CAL 3 weeks after IVIG administration. In summary, activated gene expression represented a majority in the immune response of KD. In this study, we identified CDR2 as a novel suppressed gene for Kawasaki disease via human transcriptome array analysis and DDX24 associated with CAL formation, which may contribute to further understanding of CAL pathogenesis in KD.

show abstract

Identification of hub genes and pathogenesis in Kawasaki disease based on bioinformatics analysis

Cao,

Zhang,

Liu

et al. 2024

Indian Journal of Pathology and Microbiology

View full text Add to dashboard Cite

Background: The aim of this study was to explore new biomarkers of Kawasaki disease (KD) and provide evidence for clinical diagnosis and treatment. Materials and Methods: Gene Expression Omnibus (GEO) datasets GSE68004 and GSE73461 were downloaded, and the differentially expressed genes (DGEs) were taken, along with DEGs enrichment analysis and protein interaction network. Finally, five algorithms in CytoHubba plug-in were applied to obtain hub genes. Results: In this study, 32 Co-DEGs were identified, and these genes mainly participated in neutrophil degranulation, neutrophil activation involved in immune response, and negative regulation of cytokine production involved in immune response; meanwhile, they were primarily enriched in starch and sucrose metabolism, fatty acid metabolism, autophagy and apoptosis, ferroptosis, and other pathways. Combined with the results of PPI and CytoHubba, 13 key genes were selected as follows: S100A12, HK3, HP, MMP9, MCEMP1, PYGL, ARG1, HIST2H2AA, ANXA3, HIST2H2AC, HIST2H2AA3, GYG1, DYSF. Conclusions: These 13 key genes may mediate the occurrence and development of KD through various processes such as immune regulation, inflammatory response, glucose metabolism, autophagy, and apoptosis, which provide valuable references for the diagnosis and treatment of KD.

show abstract

The Expression of Glycoprotein Genes in the Inflammatory Process of Kawasaki Disease

Cited by 3 publications

References 38 publications

Crucial Genes in Aortic Dissection Identified by Weighted Gene Coexpression Network Analysis

Crucial Genes in Aortic Dissection Identified by Weighted Gene Coexpression Network Analysis

Human Transcriptome Array Analysis Identifies CDR2 as a Novel Suppressed Gene for Kawasaki Disease

Identification of hub genes and pathogenesis in Kawasaki disease based on bioinformatics analysis

Contact Info

Product

Resources

About