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

doi:10.19439/j.sjos.2019.04.014

Abstract

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

CLC Number:

R781.4

WANG Bao-hua, ZHAO Yi-fei, SHEN Li-rong, WANG Zhan-hong, KONG Ye, ZHUANG Qin. Differential screening and functional prediction analysis of miRNA expression profiles in periodontitis[J]. Shanghai Journal of Stomatology, 2019, 28(4): 408-411.

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