口腔医学研究

口腔医学研究 ›› 2021, Vol. 37 ›› Issue (10): 894-899.DOI: 10.13701/j.cnki.kqyxyj.2021.10.007

• 牙周病学研究 • 上一篇    下一篇

牙周炎患者外周血miRNA表达谱分析评价

张正1,2*, 郑友丽3*, 边晓为3   

  1. 1.天津市口腔医院,南开大学医学院 天津 300041;
    2.天津市口腔功能重建重点实验室 天津 300041;
    3.天津医科大学口腔医院 天津 300070
  • 收稿日期:2021-02-24 出版日期:2021-10-28 发布日期:2021-10-18
  • 通讯作者: *张正,E-mail: zhangzheng@nankai.edu.cn;郑友丽,E-mail: zhengyouli2005mail@126.com
  • 作者简介:张正(1985~ ),男,安徽人,博士,主治医师,研究方向:牙周病发病机制研究。
  • 基金资助:
    天津市自然科学基金(编号:20JCQNJC00200)天津市卫生健康委员会科技项目(编号:KJ20041)

Differential Expression Profiles of miRNAs in Blood of Periodontitis Patients.

ZHANG Zheng1,2*, ZHENG Youli3, BIAN Xiaowei3   

  1. 1. Tianjin Stomatological Hospital, School of Medicine, Nankai University, Tianjin 300041, China;
    2. Tianjin Key Laboratory of Oral and Maxillofacial Function Reconstruction, Tianjin 300041, China;
    3. Hospital of Stomatology, Tianjin Medical University, Tianjin 300070, China
  • Received:2021-02-24 Online:2021-10-28 Published:2021-10-18

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摘要： 目的:分析牙周炎患者外周血微小RNA(microRNA,miRNA)表达谱,筛选出具有潜在牙周炎诊断价值的外周血miRNA,为牙周炎特异性诊断方式的探寻提供参考。方法:从基因表达综合数据库(Gene Expression Omnibus,GEO)获取受试者外周血miRNA表达谱数据集(GSE61741),并进行GEO2R在线工具分析。Logistic回归分析进行差异表达miRNA自变量筛选,依据接受者操作特征(receiver operating characteristic,ROC)曲线下面积(area under the curve,AUC)确定miRNA的诊断价值。结果:与健康对照组相比,牙周炎患者外周血123个miRNA表达水平显著下调,109个miRNA表达水平显著上调;Logistic回归分析筛选出3个与牙周炎发病相关的外周血miRNA,即hsa-miR-361-5p、hsa-miR-663和hsa-miR-744;ROC曲线显示,hsa-miR-361-5p、hsa-miR-663、hsa-miR-744以及三者联合诊断牙周炎的AUC值分别为0.871、0.899、0.925和0.981,均具有统计学意义(P<0.01)。结论:牙周炎患者外周血miRNA表达谱与健康对照组存在明显差异,hsa-miR-361-5p、hsa-miR-744和hsa-miR-663与牙周炎发病风险相关,对于牙周炎的诊疗具有一定价值。

关键词: 牙周炎, 微小RNA, 发病风险, 诊断

Abstract: Objective: To characterize the microRNA (miRNA) profiles in blood of periodontitis patients. Methods: One miRNA expression profile (GSE61741) was downloaded from the GEO database and analyzed using GEO2R. Logistic regression analysis was used to screen independent variables among differentially expressed miRNAs (DE-miRNAs). The diagnostic values of screened miRNAs were determined by the area under the receiver operating characteristic (ROC) curve (AUC). Results: A total of 232 DE-miRNAs, consisting of 109 upregulated DE-miRNAs and 123 downregulated DE-miRNA, were screened. Logistic regression analysis showed that there were three miRNAs related to periodontitis, namely hsa-mir-361-5p, hsa-mir-663, and hsa-mir-744. The AUC values of hsa-mir-361-5p, hsa-mir-663, hsa-mir-744, and their combination in the diagnosis of periodontitis were 0.871, 0.899, 0.925, and 0.981, respectively (P<0.01). Conclusion: MiRNAs are expressed differentially in periodontitis patients. hsa-mir-361-5p, hsa-mir-744, and hsa-mir-663 were associated with the risk of periodontitis and had potential value in the diagnosis of periodontitis.

Key words: periodontitis, microRNA, incidence risk, diagnosis