文章摘要
程远见,李胜文.基于生信分析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,待发表.
基于生信分析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
投稿时间:2024-03-15  录用日期:2024-04-22
DOI:
中文关键词: 溃疡性结肠炎  牙周炎  关键基因  免疫浸润  生信分析
英文关键词: 
基金项目:
作者单位邮编
程远见 山西省人民医院 030012
李胜文* 山西省人民医院 
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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。本研究旨在确定UC和PD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PD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PD的共享基因,使用GO和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,IL1B和CXCR4是UC和PD的最佳共享关键基因。与健康组织相比,UC和PD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,IL1B和CXCR4的表达与MDSCs的浸润呈显著正相关。结论:MDSCs与UC和PD的发病机制密切相关。IL1B和CXCR4可能通过免疫相关信号通路参与UC和PD的进展。
英文摘要:
      Objective:Although increasing evidence supports a bidirectional relationship between ulcerative colitis (UC) and periodontitis (PD), the common mechanisms underlying their coexistence remain unclear. Therefore, this study aimed to identify key biomarkers that mediate the co-occurrence of UC and PD and investigate the revealed immune mechanisms.Methods: Datasets for UC and PD were downloaded 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 LASSO regression was used to further screen for key genes, and their expression levels and diagnostic values were verified using external databases. Single-sample gene set enrichment analysis (ssGSEA) was then used to analyze the infiltration level of 28 immune cells in the expression profile as well as their relationships with hub gene markers.Results: In total, 55 shared genes were identified as common to both UC and PD by combining data from differential expressed analysis and WGCNA. Nine candidate hub genes were identified by cytoHubba. Further LASSO analysis revealed that IL1B 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, myeloid-derived suppressor cells (MDSCs), and macrophages than in healthy tissues. Moreover, the relationship between the identified key genes and their expression in infiltrating immune cells showed that IL1B and CXCR4 expression were significantly positively correlated with MDSC infiltration. Conclusion: MDSCs were found to be closely associated with the pathogenesis of UC and PD. IL1B and CXCR4 may be involved in the progression of UC and PD via immune-related signaling pathways.
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