上海口腔医学

上海口腔医学 ›› 2019, Vol. 28 ›› Issue (4): 408-411.doi: 10.19439/j.sjos.2019.04.014

• 论著 • 上一篇    下一篇

牙周炎组织中miRNA表达谱差异筛选及功能预测分析

王宝华1, 赵亦非2, 沈莉蓉3, 汪战红4, 孔晔5, 庄秦1   

  1. 1.上海雅诺口腔门诊部,上海 201208;
    2.上海交通大学附属仁济医院 口腔科,上海 200001;
    3.潍坊社区服务中心 口腔科,上海 200120;
    4.上海厚诚口腔门诊部,上海 200040;
    5.维乐口腔格林门诊部,上海 201103
  • 收稿日期:2019-03-17 修回日期:2019-05-09 出版日期:2019-08-25 发布日期:2019-09-23
  • 通讯作者: 庄秦,E-mail: 523533708@qq.com
  • 作者简介:王宝华(1975-）,男,本科,E-mail: wangbaohua751010@126.com

Differential screening and functional prediction analysis of miRNA expression profiles in periodontitis

WANG Bao-hua1, ZHAO Yi-fei2, SHEN Li-rong3, WANG Zhan-hong4, KONG Ye5, ZHUANG Qin1   

  1. 1. Shanghai Yanuo Dental Clinic. Shanghai 201208;
    2. Department of Stomatology, Renji Hospital, Shanghai Jiao Tong University. Shanghai 200001;
    3. Department of Stomatology, Weifang Community Service Center. Shanghai 200120;
    4. Shanghai Houcheng Dental Clinic. Shanghai 200040;
    5. Weile Dental Green Clinic. Shanghai 201103, China
  • Received:2019-03-17 Revised:2019-05-09 Online:2019-08-25 Published:2019-09-23

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摘要： 目的 筛选牙周炎患者组织中的差异表达miRNA,探讨其生物学功能以及参与的信号通路。方法 通过对微阵列数据库GSE54710中的158例牙周炎患者和40例健康人的牙龈组织中的基因芯片数据进行生物信息学分析,筛选差异表达miRNA,并预测参与的生物学功能和信号通路。采用SPSS 19.0软件包对数据进行统计学分析。结果 5种miRNAs（hsa-miR-451、hsa-miR-223、hsa-miR-486-5p、hsa-miR-3917、hsa-miR-671-5p）显著上调,4种miRNAs（hsa-miR-203、hsa-miR-210、hsa-miR-1246、hsa-miR-1260 ）显著下调。其中,hsa-miR-1260的靶基因584个,hsa-miR-451的靶基因139个。KEGG通路富集分析显示,hsa -miR-1260靶基因显著富集到TGF-beta等12条信号通路,hsa-miR-451靶基因显著富集到17条信号通路。结论 得到牙周炎组织中miRNAs的表达谱,牙周炎诱导的hsa-miR-1260和hsa-miR-451可能在牙周炎的生理病理学中起到关键作用。

关键词: hsa-miR-1260, hsa-miR-451, 信号转导通路, 牙周炎

Abstract: PURPOSE: To detect the gene expression of miRNAs in patients with periodontitis and to explore their biological functions and involved signaling pathways. METHODS: Bioinformatics analysis of gene chip data from 158 periodontitis patients and 40 healthy controls of the microarray database GSE54710 were performed. The expression changes of miRNAs were analyzed. The involved biological function and signal path was predicted. SPSS 19.0 software package was used for statistical analysis. RESULTS: Five miRNAs (hsa-miR-451, hsa-miR-223, hsa-miR-486-5p, hsa-miR-3917, hsa-miR-671-5p) were significantly up-regulated, and 4 miRNAs (hsa-miR-203, hsa-miR-210, hsa-miR-1246, hsa-miR-1260) were significantly down-regulated. Among them, there were 584 target genes of hsa-miR-1260 and 139 target genes of hsa-miR-451. KEGG pathway enrichment analysis showed that hsa-miR-1260 target gene was significantly enriched into 12 signaling pathways such as TGF-beta, and hsa-miR-451 target gene was significantly enriched into 17 signaling pathways. CONCLUSIONS: miRNAs expression profiles were obtained in periodontitis tissues, periodontitis-induced hsa-miR-1260 and hsa-miR-451 may play a key role in the pathophysiology of periodontitis.

Key words: hsa-miR-1260, hsa-miR-451, Signal transduction pathway, Periodontitis

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