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基于竞争内源性 RNA 的牙周炎免疫相关 lncRNA-miRNA-mRNA 网络的构建。

Development of an immune-related lncRNA-miRNA-mRNA network based on competing endogenous RNA in periodontitis.

机构信息

Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Stomatological Hospital of Chongqing Medical University, Chongqing, China.

出版信息

J Clin Periodontol. 2021 Nov;48(11):1470-1479. doi: 10.1111/jcpe.13537. Epub 2021 Sep 12.

DOI:10.1111/jcpe.13537
PMID:34409632
Abstract

AIM

To explore the relationship between long non-coding RNAs (lncRNAs) and immune response and to construct an immune-related competing endogenous RNA (ceRNA) network in periodontitis.

MATERIALS AND METHODS

Gene expression profiles in gingival tissues were acquired from the Gene Expression Omnibus database. Bioinformatic analysis was performed to establish an immune-related ceRNA network. Subsequently, functional enrichment analysis was performed to detect the biological processes in which the ceRNA network might be involved.

RESULTS

A combined classification model involving seven lncRNAs was constructed. Receiver operating characteristic curve analysis showed satisfactory classification ability of the established model. Further analysis revealed that the screened lncRNAs were significantly correlated with patient immunity. Finally, an immune-related ceRNA network was constructed based on the lncRNA MIAT, miR-1246, miR-1260b, miR-3652, miR-4286, and 27 mRNAs. Accordingly, functional enrichment analysis demonstrated that this network is closely related to the proliferation, differentiation, and activation of B cells.

CONCLUSIONS

The lncRNA MIAT and the MIAT-based ceRNA network may be instrumental in regulating the immune response, especially of B cells, during the progression of periodontitis.

摘要

目的

探讨长链非编码 RNA(lncRNA)与免疫反应的关系,并构建牙周炎相关免疫 ceRNA 网络。

材料和方法

从基因表达综合数据库中获取牙龈组织中的基因表达谱。通过生物信息学分析构建免疫相关 ceRNA 网络。然后,进行功能富集分析以检测 ceRNA 网络可能涉及的生物学过程。

结果

构建了一个包含七个 lncRNA 的联合分类模型。接收者操作特征曲线分析显示该模型具有令人满意的分类能力。进一步分析表明,筛选出的 lncRNA 与患者的免疫功能显著相关。最后,基于 lncRNA MIAT、miR-1246、miR-1260b、miR-3652、miR-4286 和 27 个 mRNA 构建了一个免疫相关的 ceRNA 网络。相应地,功能富集分析表明该网络与 B 细胞的增殖、分化和激活密切相关。

结论

lncRNA MIAT 及其基于 MIAT 的 ceRNA 网络可能在调节牙周炎进展过程中的免疫反应中发挥作用,尤其是 B 细胞的免疫反应。

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