基于生物信息学分析铁死亡调控基因与牙周炎的关系

Relationship between periodontitis and ferroptosis based on bioinformatics analysis

目的通过生物信息学方法探究牙周炎与铁死亡之间的关系。方法从基因表达数据库(GEO)中下载数据集GS16134,在铁死亡数据库(FerrDb)中下载铁死亡的驱动和抑制基因。利用R软件对数据进行标准化处理,“limma”包筛选牙周炎中差异表达的基因(P<0.05)。利用基因本体(GO)以及京都基因和基因组百科全书(KEGG)对差异基因进行分析,确定其主要的功能及通路。构建蛋白互作网络,筛选关键mRNA。结果一共筛选出50个在牙周炎牙龈组织样本和健康牙龈组织样本中存在差异性表达的铁死亡调控基因。GO功能和KEGG通路结果表明,差异基因主要参与氧化应激反应,并集中在Xc-系统通路及铁代谢通路。结论铁死亡调控基因在牙周炎组织样本中存在差异表达,这些基因主要在氧化应激和铁代谢通路上发挥作用,表明二者之间存在相关性。推测铁死亡可能通过脂质过氧化以及铁代谢异常对炎症,甚至对牙槽骨骨改建造成影响,本研究为牙周炎的发生发展机制提供了新的见解和思路。

Objective Bioinformatics methods were used to investigate the correlation between periodontitis and ferroptosis.Methods Dataset GS16134 was downloaded from the GEO database,and the driver and suppressor genes of ferroptosis were downloaded from the ferroptosis database(FerrDb).R soft was used to standardize the data,and the“limma”package was used to screen for differentially expressed genes in periodontitis(P<0.05).GO and KEGG analyses were conducted to analyze the differentially expressed genes and identify their main functions and pathways.Protein interaction network was used to screen for key mRNAs.Results Fifty differentially expressed ferroptosis regulatory genes were screened in periodontitis gingival tissue samples and healthy gingival tissue samples.Results of GO function and KEGG pathway analyses showed that the differentially expressed genes mainly participated in the oxidative stress reaction,and they were mainly concentrated in the ferroptosis pathway.Conclusion Ferroptosis regulatory genes were differentially expressed in periodontitis tissue samples,and these genes primarily functioned in the oxidative stress and iron metabolism pathways,indicating a correlation between the two.Ferroptosis may affect inflammation and even bone remodeling of alveolar bone through lipid peroxidation,as well as abnormal iron metabolism.This study provides new insights into the mechanism of periodontitis development.