文章摘要
程远见,梁倩玉,李胜文.基于生物信息学鉴定溃疡性结肠炎和牙周炎的关键基因及其免疫浸润分析[J].安徽医药,2026,30(5):989-993.
基于生物信息学鉴定溃疡性结肠炎和牙周炎的关键基因及其免疫浸润分析
Identification of hub biomarkers and immune cell infiltration in ulcerative colitis and periodontitis via bioinformatics analysis
  
DOI:10.3969/j.issn.1009-6469.2026.05.028
中文关键词: 结肠炎,溃疡性  牙周炎  关键基因  免疫浸润  生信分析
英文关键词: Colitis,ulcerative  Periodontitis  Key genes Iimmune infiltration  Bioinformatics analysis
基金项目:
作者单位E-mail
程远见 山西医科大学第五临床医学院,山西太原 030012  
梁倩玉 山西省人民医院,消化科,山西太原 030012  
李胜文 山西省人民医院,肿瘤科,山西太原 030012 liswww169@163.com 
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中文摘要:
      目的越来越多的证据支持溃疡性结肠炎( UC)和牙周炎( PD)之间的双向关系,但其发生机制仍不清楚。该研究旨在确定 UC和牙周炎共同的生物标志物,并探讨其与免疫细胞的关系。方法从 GEO数据库中下载 UC和牙周炎数据集,通过差异表达分析和加权基因共表达网络分析( WGCNA)挖掘 UC和牙周炎的共享基因,使用基因本体论( GO)和京都基因与基因组百科全书( KEGG)进行功能和通路富集分析。利用 Cytoscape中的 “cystoHubba”插件联合 LASSO回归进一步筛选关键基因,并通过外部数据集验证其表达水平和诊断价值。最后,采用单样本基因集富集分析( ssGSEA)量化 28个免疫细胞在样本中的浸润水平及其与关键基因的关系。结果结合差异表达分析和 WGCNA的结果,共鉴定出 55个共享基因。 cytoHubba鉴定出 9个候选枢纽基因,进一步的 LASSO回归分析显示,白细胞介素( IL)-1β和 CXCR4是 UC和牙周炎的最佳共享关键基因。与健康组织相比, UC和牙周炎组织中活化的 CD4 +T细胞、活化的 B细胞、未成熟的 B细胞、自然杀伤细胞、髓系抑制性细胞( MDSCs)和巨噬细胞的浸润明显高于健康组织。此外,关键基因与免疫浸润细胞之间的相关性表明, IL-1β和 CXCR4的表达与 MDSCs的浸润呈显著正相关。结论 MDSCs与 UC和牙周炎的发病机制密切相关。 IL-1β和 CXCR4通过免疫相关信号通路可能参与 UC和牙周炎的进展。
英文摘要:
      Objective To identify key biomarkers that mediate the co-occurrence of ulcerative colitis (UC) and periodontitis (PD) andto investigate the revealed immune mechanisms, given the increasing evidence supporting a bidirectional relationship between UC andPD, although the common mechanisms underlying their coexistence remain unclear.Methods Datasets for UC and PD were download. ed from the GEO database, and shared genes for UC and PD were mined based on differential expression analysis and weighted gene co-expression network analysis (WGCNA). This was followed by pathway enrichment analysis using annotation data from the gene ontology(GO) and Kyoto encyclopedia of genes and genomes (KEGG) databases. The "cytoHubba" plugin in Cytoscape combined with LASSOregression was used to further screen for key genes, and their expression levels and diagnostic values were verified using external data.bases. Single-sample gene set enrichment analysis (ssGSEA) was then used to analyze the infiltration level of 28 immune cells in the ex.pression profile as well as their relationships with hub gene markers.Results In total, 55 shared genes were identified as common toboth UC and PD by combining data from differential expressed analysis and WGCNA. Nine candidate hub genes were identified by cy.toHubba. Further LASSO analysis revealed that IL-1β and CXCR4 were the best co-diagnostic biomarkers for UC and PD. UC and PD tissues exhibited significantly higher infiltration of activated CD4+T cells, activated B cells, immature B cells, natural killer cells, my. eloid-derived suppressor cells (MDSCs), and macrophages than in healthy tissues. Moreover, the relationship between the identified keygenes and their expression in infiltrating immune cells showed that IL-1β and CXCR4 expression were significantly positively correlat. ed with MDSC infiltration.Conclusion MDSCs are closely associated with the pathogenesis of UC and PD. IL-1β and CXCR4 may participate in the progression of UC and PD through immune related signaling pathways.
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