国际口腔医学杂志 ›› 2023, Vol. 50 ›› Issue (6): 661-668.doi: 10.7518/gjkq.2023082

• 论著 • 上一篇    下一篇

基于生物信息学分析铁死亡调控基因与牙周炎的关系

罗晓洁1,2(),王德续1,2,陈晓涛2()   

  1. 1.新疆医科大学口腔医学系 乌鲁木齐 830000
    2.新疆维吾尔自治区人民医院口腔科 乌鲁木齐 830000
  • 收稿日期:2023-02-18 修回日期:2023-06-06 出版日期:2023-11-01 发布日期:2023-10-24
  • 通讯作者: 陈晓涛
  • 作者简介:罗晓洁,硕士,Email:453540314@qq.com
  • 基金资助:
    国家自然科学基金(82260195);新疆维吾尔自治区区域协同创新专项(2021E02071)

Relationship between periodontitis and ferroptosis based on bioinformatics analysis

Luo Xiaojie1,2(),Wang Dexu1,2,Chen Xiaotao2()   

  1. 1.Dept. of Stomatology, Xinjiang Medical University, Urumqi 830000, China
    2.Dept. of Stomatology, Xinjiang Uygur Autonomous Region People’s Hospital, Urumqi 830000, China
  • Received:2023-02-18 Revised:2023-06-06 Online:2023-11-01 Published:2023-10-24
  • Contact: Xiaotao Chen
  • Supported by:
    National Natural Science Foundation of China(82260195);Xinjiang Uygur Autonomous Region Regional Collaborative Innovation Special Fund(2021E02071)

摘要:

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。

关键词: 牙周炎, 铁死亡, 生物信息分析

Abstract:

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.

Key words: periodontitis, ferroptosis, bioinformation

中图分类号: 

  • R 781.4+2

图 1

铁死亡调控基因在炎症样本和健康样本中的差异表达A:差异表达基因的热图(H代表健康样本,P代表牙周炎样本);B:红色代表在牙周炎中呈高表达的差异基因,绿色代表低表达差异基因。P<0.05。"

图 2

差异表达基因GO分析结果"

表 1

差异表达基因结果"

GO IDGO TermGene ID数目
GO:006979氧化应激反应ALOX5/SLC7A11/TLR4/NFE2L2/PRDX6/EPAS1/DUOX1/MYB/CYBB/DUOX2/NQO1/GCLC/HMOX1/GCH1/MAP1LC3A15
GO:0062197细胞化学应激反应ALOX5/SLC7A11/TLR4/NFE2L2/PRDX6/EPAS1/MYB/CYBB/ATM/NQO1/HMOX1/GCH1/MAP1LC3A13
GO:0034599细胞氧化应激反应ALOX5/SLC7A11/TLR4/NFE2L2/PRDX6/EPAS1/MYB/CYBB/NQO1/HMOX1/GCH1/MAP1LC3A12

图 3

差异表达基因KEGG通路分析结果"

表 2

差异表达基因通路分析结果"

Pathway ID描述Gene ID数目
hsa04216铁死亡通路FTH1/SLC7A11/SAT1/CYBB/VDAC2/NCOA4/ACSL4/SLC40A1/SLC3A2/GCLC/HMOX1/ACSL3/MAP1LC3A13
hsa04621NOD样受体信号通路TLR4/CYBB/VDAC2/PANX1/ATG16L1/MAPK14/MAP1LC3A7
hsa04140自噬通路ATG3/ATG16L1/ULK1/WIPI1/HRAS/MAP1LC3A6

图 4

KEGG铁死亡通路中部分差异基因的主要作用高表达基因用黄色表示,低表达基因用蓝色表示。"

图 5

Cytoscape构建差异表达基因的PPI网络黄色表示关键基因。"

图 6

通过Cytoscape中的ECODE插件获取到的15个关键基因"

《全口义齿新概念及临床进阶》出版发行"

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