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基于生物信息学筛选和分析小儿溃疡性结肠炎的潜在生物标志物

邹秋凤 邹佳英 李丽娟 方小玲 黄文娟

医学新知2024,Vol.34Issue(2):149-156,8.
医学新知2024,Vol.34Issue(2):149-156,8.DOI:10.12173/j.issn.1004-5511.202302036

基于生物信息学筛选和分析小儿溃疡性结肠炎的潜在生物标志物

Bioinformatics-based screening and analysis of potential biomarkers in pediatric ulcerative colitis

邹秋凤 1邹佳英 1李丽娟 1方小玲 1黄文娟1

作者信息

  • 1. 中国人民解放军联勤保障部队第九二四医院新生儿科(广西桂林 541000)
  • 折叠

摘要

Abstract

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.

关键词

小儿/溃疡性结肠炎/基因/生物信息学/生物标志物

Key words

Pediatric/Ulcerative colitis/Gene/Bioinformatics/Biomarkers

引用本文复制引用

邹秋凤,邹佳英,李丽娟,方小玲,黄文娟..基于生物信息学筛选和分析小儿溃疡性结肠炎的潜在生物标志物[J].医学新知,2024,34(2):149-156,8.

基金项目

桂林市技术应用与推广计划项目(202012E15593) (202012E15593)

医学新知

OACSTPCD

1004-5511

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