Identification of hub genes and pathogenesis in Kawasaki disease based on bioinformatics analysis
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...
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2024-04-01
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| Series: | Indian Journal of Pathology and Microbiology |
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| Online Access: | https://journals.lww.com/10.4103/ijpm.ijpm_524_23 |
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| _version_ | 1825205534497701888 |
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| author | Min Cao Zhenhu Zhang Qian Liu Yuda Zhang |
| author_facet | Min Cao Zhenhu Zhang Qian Liu Yuda Zhang |
| author_sort | Min Cao |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2cc076c53ea748359341c5ef78f392ba |
| institution | Kabale University |
| issn | 0377-4929 0974-5130 |
| language | English |
| publishDate | 2024-04-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Indian Journal of Pathology and Microbiology |
| spelling | doaj-art-2cc076c53ea748359341c5ef78f392ba2025-02-07T13:56:20ZengWolters Kluwer Medknow PublicationsIndian Journal of Pathology and Microbiology0377-49290974-51302024-04-0167229730510.4103/ijpm.ijpm_524_23Identification of hub genes and pathogenesis in Kawasaki disease based on bioinformatics analysisMin CaoZhenhu ZhangQian LiuYuda ZhangBackground: 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.https://journals.lww.com/10.4103/ijpm.ijpm_524_23bioinformaticshub genekawasaki diseasemechanisms |
| spellingShingle | Min Cao Zhenhu Zhang Qian Liu Yuda Zhang Identification of hub genes and pathogenesis in Kawasaki disease based on bioinformatics analysis Indian Journal of Pathology and Microbiology bioinformatics hub gene kawasaki disease mechanisms |
| title | Identification of hub genes and pathogenesis in Kawasaki disease based on bioinformatics analysis |
| title_full | Identification of hub genes and pathogenesis in Kawasaki disease based on bioinformatics analysis |
| title_fullStr | Identification of hub genes and pathogenesis in Kawasaki disease based on bioinformatics analysis |
| title_full_unstemmed | Identification of hub genes and pathogenesis in Kawasaki disease based on bioinformatics analysis |
| title_short | Identification of hub genes and pathogenesis in Kawasaki disease based on bioinformatics analysis |
| title_sort | identification of hub genes and pathogenesis in kawasaki disease based on bioinformatics analysis |
| topic | bioinformatics hub gene kawasaki disease mechanisms |
| url | https://journals.lww.com/10.4103/ijpm.ijpm_524_23 |
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