Ban Qiang, Ling Xiaofang, Ding Hui, Meng Jiansheng, Li Yuan, Zhang Juanfei, Zhu Mingyi
Department of Stomatology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
School of Stomatology, Youjiang Medical University for Nationalities, Baise, China.
Ann Transl Med. 2022 May;10(10):558. doi: 10.21037/atm-22-1592.
Periodontitis is a serious health issue; however, there are few reports on periodontitis and immune related. The study sought to analyze differences in gene expression between periodontitis patients before and after treatment using bioinformatics techniques.
The GSE6751 data set was screened for differentially expressed genes (DEGs) and immune-related genes using the Gene Expression Omnibus (GEO) database, a gene expression data analysis tool. Enrichment, protein-protein interaction (PPI) network construction, and immune cell correlation analyses were also performed on these genes.
A total of 327 DEGs in periodontitis were identified, including 149 upregulated genes, 178 downregulated genes, and 27 immune-related genes. The immune-related DEGs were mainly involved in granulocyte chemotaxis, granulocyte migration, leukocyte chemotaxis, cytokine receptor binding, Toll-like receptor (TLR) binding, the phosphatidylinositol-3-kinase and protein kinase b signaling pathway, viral protein interactions with cytokines and cytokine receptors, the Ras-proximate-1 signaling pathway, the Ras signaling pathway, natural killer cell mediated cytotoxicity, and immune response related pathways. and were the key core genes in the constructed PPI network.
The pathogenesis of periodontitis is closely related to changes in the expression of genes, such as and , among which IFNG and TLR2 are potential therapeutic targets for periodontitis.
牙周炎是一个严重的健康问题；然而，关于牙周炎与免疫相关的报道较少。本研究旨在运用生物信息学技术分析牙周炎患者治疗前后基因表达的差异。
使用基因表达综合数据库（GEO）这一基因表达数据分析工具，筛选GSE6751数据集以获取差异表达基因（DEGs）和免疫相关基因。还对这些基因进行了富集分析、蛋白质-蛋白质相互作用（PPI）网络构建以及免疫细胞相关性分析。
共鉴定出牙周炎中的327个差异表达基因，包括149个上调基因、178个下调基因和27个免疫相关基因。免疫相关差异表达基因主要参与粒细胞趋化性、粒细胞迁移、白细胞趋化性、细胞因子受体结合、Toll样受体（TLR）结合、磷脂酰肌醇-3-激酶和蛋白激酶b信号通路、病毒蛋白与细胞因子及细胞因子受体的相互作用、Ras近邻-1信号通路、Ras信号通路、自然杀伤细胞介导的细胞毒性以及免疫反应相关通路。 和 是构建的PPI网络中的关键核心基因。
牙周炎的发病机制与 和 等基因表达的变化密切相关，其中IFNG和TLR2是牙周炎潜在的治疗靶点。
