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Revealing a potential necroptosis‐related axis (RP11‐138A9.1/hsa‐miR‐98‐5p/ZBP1) in periodontitis by construction of the ceRNA network

坏死性下垂 竞争性内源性RNA 牙周炎 小RNA 接收机工作特性 计算生物学 生物 基因调控网络 生物信息学 基因 基因表达 医学 计算机科学 遗传学 下调和上调 机器学习 程序性细胞死亡 内科学 细胞凋亡 长非编码RNA
作者
Zhenxiang Wang,Hang Chen,Limin Peng,Yujuan He,Xiaonan Zhang
出处
期刊:Journal of Periodontal Research [Wiley]
卷期号:58 (5): 968-985 被引量:6
标识
DOI:10.1111/jre.13157
摘要

Abstract Background and Objectives Periodontitis, a prevalent chronic inflammatory condition, poses a significant risk of tooth loosening and subsequent tooth loss. Within the realm of programmed cell death, a recently recognized process known as necroptosis has garnered attention for its involvement in numerous inflammatory diseases. Nevertheless, its correlation with periodontitis is indistinct. Our study aimed to identify necroptosis‐related lncRNAs and crucial lncRNA‐miRNA‐mRNA regulatory axes in periodontitis to further understand the pathogenesis of periodontitis. Materials and Methods Gene expression profiles in gingival tissues were acquired from the Gene Expression Omnibus (GEO) database. Selecting hub necroptosis‐related lncRNA and extracting the key lncRNA‐miRNA‐mRNA axes based on the ceRNA network by adding novel machine‐learning models based on conventional analysis and combining qRT‐PCR validation. Then, an artificial neural network (ANN) model was constructed for lncRNA in regulatory axes, and the accuracy of the model was validated by receiver operating characteristic (ROC) curve analysis. The clinical effect of the model was evaluated by decision curve analysis (DCA). Weighted correlation network analysis (WGCNA) and single‐sample gene set enrichment analysis (ssGSEA) was performed to explore how these lncRNAs work in periodontitis. Results Seven hub necroptosis‐related lncRNAs and three lncRNA‐miRNA‐mRNA regulatory axes (RP11‐138A9.1/hsa‐miR‐98‐5p/ZBP1 axis, RP11‐96D1.11/hsa‐miR‐185‐5p/EZH2 axis, and RP4‐773 N10.4/hsa‐miR‐21‐5p/TLR3 axis) were predicted. WGCNA revealed that RP11‐138A9.1 was significantly correlated with the “purple module”. Functional enrichment analysis and ssGSEA demonstrated that the RP11‐138A9.1/hsa‐miR‐98‐5p/ZBP1 axis is closely related to the inflammation and immune processes in periodontitis. Conclusion Our study predicted a crucial necroptosis‐related regulatory axis (RP11‐138A9.1/hsa‐miR‐98‐5p/ZBP1) based on the ceRNA network, which may aid in elucidating the role and mechanism of necroptosis in periodontitis.
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