Bioinformatics-based screening and analysis of potential biomarkers in pediatric ulcerative colitis
Objective Bioinformatics analysis was performed to screen and identify the underlying gene biomarkers in pediatric ulcerative colitis (UC) patients.Methods GSE126124 dataset, the mRNA expression profile of inflammatory bowel disease, was downloaded from the gene expression omnibus (GEO) database. GE...
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Editorial Office of New Medicine
2024-02-01
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| Series: | Yixue xinzhi zazhi |
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| Online Access: | https://yxxz.whuznhmedj.com/futureApi/storage/attach/2403/G1uz4OgqvEGjttYGil4JwqPROGXeAqFHRYNeWkQK.pdf |
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| author | ZOU Qiufeng ZOU Jiaying LI Lijuan FANG Xiaoling HUANG Wenjuan |
| author_facet | ZOU Qiufeng ZOU Jiaying LI Lijuan FANG Xiaoling HUANG Wenjuan |
| author_sort | ZOU Qiufeng |
| collection | DOAJ |
| description | Objective Bioinformatics analysis was performed to screen and identify the underlying gene biomarkers in pediatric ulcerative colitis (UC) patients.Methods GSE126124 dataset, the mRNA expression profile of inflammatory bowel disease, was downloaded from the gene expression omnibus (GEO) database. GEO2R was utilized to obtain differentially expressed genes (DEGs) between pediatric ulcerative colitis tissues and corresponding normal tissues in the dataset. Functional and pathway enrichment analysis and protein-protein interaction analysis of DEGs were conducted using the DAVID and STRING database. The Cytoscape software was used to analyze protein-protein interaction network and hub genes. At last, the KEGG analyzed the biology and pathway enrichment of hub genes.Results A total of 153 DEGs were obtained, including 92 up-regulated and 61 down-regulated genes. Functional and pathway enrichment analysis showed that up-regulated DEGs were significantly enriched in the external stimulus, staphylococcus aureus infection and IL-17 signaling pathway. Functional and pathway enrichment analysis showed that down-regulated DEGs were significantly enriched in the transport, membrane composition and metabolic pathway. Furthermore, 10 DEGs were considered hub genes, including Cxcl1, Cxcl2, Cxcl10, Cxcr2, Il1rn, Fcgr3a, Cxcr1, S100a12, Ido1 and Ccl24. Pathway enrichment analysis showed that hub genes were significantly enriched in the chemokines, the interaction between viral proteins and cytokines and receptors, epithelial cells infected by Helicobacter pylori, IL-17 and TNF.Conclusion This research found 153 DEGs, in which 10 hub genes may play an important role in the occurrence and development of pediatric UC. |
| format | Article |
| id | doaj-art-57076bf94cb44e9d96fe14bc552701f5 |
| institution | OA Journals |
| issn | 1004-5511 |
| language | zho |
| publishDate | 2024-02-01 |
| publisher | Editorial Office of New Medicine |
| record_format | Article |
| series | Yixue xinzhi zazhi |
| spelling | doaj-art-57076bf94cb44e9d96fe14bc552701f52025-08-20T02:00:01ZzhoEditorial Office of New MedicineYixue xinzhi zazhi1004-55112024-02-0134214915610.12173/j.issn.1004-5511.2023020366442Bioinformatics-based screening and analysis of potential biomarkers in pediatric ulcerative colitisZOU QiufengZOU JiayingLI LijuanFANG XiaolingHUANG WenjuanObjective Bioinformatics analysis was performed to screen and identify the underlying gene biomarkers in pediatric ulcerative colitis (UC) patients.Methods GSE126124 dataset, the mRNA expression profile of inflammatory bowel disease, was downloaded from the gene expression omnibus (GEO) database. GEO2R was utilized to obtain differentially expressed genes (DEGs) between pediatric ulcerative colitis tissues and corresponding normal tissues in the dataset. Functional and pathway enrichment analysis and protein-protein interaction analysis of DEGs were conducted using the DAVID and STRING database. The Cytoscape software was used to analyze protein-protein interaction network and hub genes. At last, the KEGG analyzed the biology and pathway enrichment of hub genes.Results A total of 153 DEGs were obtained, including 92 up-regulated and 61 down-regulated genes. Functional and pathway enrichment analysis showed that up-regulated DEGs were significantly enriched in the external stimulus, staphylococcus aureus infection and IL-17 signaling pathway. Functional and pathway enrichment analysis showed that down-regulated DEGs were significantly enriched in the transport, membrane composition and metabolic pathway. Furthermore, 10 DEGs were considered hub genes, including Cxcl1, Cxcl2, Cxcl10, Cxcr2, Il1rn, Fcgr3a, Cxcr1, S100a12, Ido1 and Ccl24. Pathway enrichment analysis showed that hub genes were significantly enriched in the chemokines, the interaction between viral proteins and cytokines and receptors, epithelial cells infected by Helicobacter pylori, IL-17 and TNF.Conclusion This research found 153 DEGs, in which 10 hub genes may play an important role in the occurrence and development of pediatric UC.https://yxxz.whuznhmedj.com/futureApi/storage/attach/2403/G1uz4OgqvEGjttYGil4JwqPROGXeAqFHRYNeWkQK.pdfpediatriculcerative colitisgenebioinformaticsbiomarkers |
| spellingShingle | ZOU Qiufeng ZOU Jiaying LI Lijuan FANG Xiaoling HUANG Wenjuan Bioinformatics-based screening and analysis of potential biomarkers in pediatric ulcerative colitis Yixue xinzhi zazhi pediatric ulcerative colitis gene bioinformatics biomarkers |
| title | Bioinformatics-based screening and analysis of potential biomarkers in pediatric ulcerative colitis |
| title_full | Bioinformatics-based screening and analysis of potential biomarkers in pediatric ulcerative colitis |
| title_fullStr | Bioinformatics-based screening and analysis of potential biomarkers in pediatric ulcerative colitis |
| title_full_unstemmed | Bioinformatics-based screening and analysis of potential biomarkers in pediatric ulcerative colitis |
| title_short | Bioinformatics-based screening and analysis of potential biomarkers in pediatric ulcerative colitis |
| title_sort | bioinformatics based screening and analysis of potential biomarkers in pediatric ulcerative colitis |
| topic | pediatric ulcerative colitis gene bioinformatics biomarkers |
| url | https://yxxz.whuznhmedj.com/futureApi/storage/attach/2403/G1uz4OgqvEGjttYGil4JwqPROGXeAqFHRYNeWkQK.pdf |
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