Identifying genes for regulating osteogenic differentiation of human periodontal ligament stem cells in inflammatory environments by bioinformatics analysis.

Background and Objectives: Periodontitis is an immuno‐inflammatory disease caused by dental plaque biofilms and inflammations. The regeneration of bone tissue in inflammatory environment is of great significance for the treatment of periodontal disease, but the specific molecular mechanism of bone formation in periodontitis still needs further exploration. The objective of this study was to identify key osteogenesis‐related genes (ORGs) in periodontitis. Methods: We used two datasets from the Gene Expression Omnibus (GEO) database to find differentially expressed mRNAs and miRNAs, further performed Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Then we predicted the downstream genes of the differentially expressed miRNAs (DEMs) by the TargetScan database and established a miRNA‐mRNA regulatory network. Finally, the osteogenic mechanism of periodontitis was explored through quantitative real‐time PCR (qRT‐PCR) by inducing inflammatory environment and osteogenic differentiation of hPDLSCs. Results: Through differential expression analysis and prediction of downstream target genes of DEMs, we created a miRNA‐mRNA regulatory network consisting of 29 DEMs and 11 differentially expressed osteogenesis‐related genes (DEORGs). In addition, the qRT‐PCR results demonstrated that BTBD3, PLAT, AKAP12, SGK1, and GLCE expression levels were significantly upregulated, while those of TIMP3, ZCCHC14, LIN7A, DNAH6, NNT, and ITGA6 were downregulated under the dual effects of inflammatory stimulation and osteogenic induction. Conclusion: DEORGs might be important factors in the osteogenic phase of periodontitis, and the miRNA‐mRNA network may shed light on the clarification of the role and mechanism of osteogenesis in periodontitis and contribute to the development of novel therapeutic strategies. [ABSTRACT FROM AUTHOR]