口腔医学 ›› 2024, Vol. 44 ›› Issue (7): 527-535.doi: 10.13591/j.cnki.kqyx.2024.07.008

• 基础与临床研究 • 上一篇    下一篇

种植体周围炎中铁死亡的生物信息学分析与实验验证

张哲维1,2,3,汪姣宏1,2,3,吴维1,2,3,董硕1,2,3,李国情1,2,3,汤春波1,2,3()   

  1. 1.南京医科大学附属口腔医院种植科,江苏南京(210029)
    2.江苏省口腔疾病研究重点实验室,江苏南京(210029)
    3.江苏省口腔转化医学工程研究中心,江苏南京(210029)
  • 收稿日期:2024-01-02 出版日期:2024-07-28 发布日期:2024-07-15
  • 通讯作者: 汤春波 E-mail: cbtang@njmu.edu.cn
  • 基金资助:
    国家自然科学基金(82170993);国家自然科学基金(82201097);江苏省自然科学基金(BK20210529)

Bioinformatics analysis and experimental validation of ferroptosis in peri-implantitis

ZHANG Zhewei1,2,3,WANG Jiaohong1,2,3,WU Wei1,2,3,DONG Shuo1,2,3,LI Guoqing1,2,3,TANG Chunbo1,2,3()   

  1. Department of Dental Implantology, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing 210029, China
  • Received:2024-01-02 Online:2024-07-28 Published:2024-07-15

摘要:

目的 探究种植体周围炎中与铁死亡相关的关键基因,探究调控种植体周围炎的潜在机制。方法 从GEO数据库中获取多个芯片数据,筛选出差异表达基因,进行GO及KEGG分析,STRING网站构建差异基因PPI网络;利用测试集对关键基因进行验证,并判断关键基因的诊断价值。通过免疫浸润分析获得22种免疫细胞在种植体周围炎组织中的含量及比例。对关键基因进行qRT-PCR与Western Blot(WB)验证。结果 种植体周围炎组织与正常牙龈组织共1 138个差异基因,其中29个为铁死亡相关差异基因;种植体周围炎组织的基因表达主要涉及免疫反应激活等过程;铁死亡相关差异基因中的5个关键基因,即SOX2GJA1IL1BGPX2CHAC1,在种植体周围炎组织中差异表达并有较高诊断价值。免疫浸润分析结果显示,在种植体周围炎组织中记忆B细胞、浆细胞等免疫细胞显著变化。qRT-PCR实验与WB实验证实关键基因mRNA与其转录的蛋白有明显的差异表达。结论 利用生物信息学分析与生物学验证筛选出种植体周围炎和铁死亡间的差异基因,为种植体周围炎的研究提供新思路。

关键词: GEO数据库, 生物信息学, 种植体周围炎, 铁死亡, 差异基因

Abstract:

Objective To investigate the key genes associated with ferroptosis in peri-implantitis and explore the potential mechanisms regulating peri-implantitis. Methods Several datasets were obtained from the GEO database. Differential expressed genes were screened, and GO and KEGG analyses were performed. A PPI network was constructed using the STRING website. Key genes were validated using a test set, and the diagnostic value of key genes was determined. The content and proportion of 22 immune cells in peri-implantitis tissues were obtained through immune infiltration analysis. Key genes were validated by qRT-PCR and Western Blot(WB). Results There were 1 138 differential genes between peri-implantitis tissues and normal gingival tissues, of which 29 were related to ferroptosis. The gene expression in peri-implantitis tissues mainly involved processes such as immune response activation. Five key genes in the ferroptosis-related differential genes, namely SOX2, GJA1, IL1B, GPX2 and CHAC1, were differentially expressed in peri-implantitis tissues and had high diagnostic value. Immune infiltration analysis showed significant changes in immune cells such as memory B cells and plasma cells in peri-implantitis tissues. qRT-PCR and WB confirmed significant differential expression of mRNA and the protein transcribed by key genes. Conclusion Differential genes between peri-implantitis and ferroptosis are screened using bioinformatics analysis and biological validation, providing new insights into the study on peri-implantitis.

Key words: GEO database, bioinformatics, peri-implantitis, ferroptosis, differential expressed genes

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