Wang Xi, Zou Yuchun, Zhang Jingque
School and Hospital of Stomatology, Fujian Medical University, Fuzhou, China.
Key Laboratory of Stomatology of Fujian Province, School and Hospital of Stomatology, Fujian Medical University, Fuzhou, China.
Oral Dis. 2024 Jul;30(5):3336-3350. doi: 10.1111/odi.14740. Epub 2023 Sep 28.
Periodontitis is a multifactorial disease that has a negative impact on people's life. However, studies on potential key genes with excellent diagnostic value for periodontitis disease have not been systematically explored.
GSE10334 data set was downloaded from the Gene Expression Omnibus database. Following the gene expression profiles were normalized by the Robust multi-array average (RMA) algorithm, the differentially expressed genes were screened and incorporated into Weight gene correlation network analysis to obtain hub genes. Receiver-operating characteristic curve analysis was used to verify the validity and agility of the hub genes-based least absolute shrinkage and selection operator model. Furthermore, we validated the expression of these hub genes by real-time polymerase chain reaction and western blotting.
Eight hub genes were identified and had good diagnostic values. Besides, the upregulations of eight hub genes were verified both in protein and mRNA levels in clinical periodontitis gum tissue.
We discovered potential biomarkers in periodontitis based on the public database and these biomarkers focused on several immune responses and inflammatory pathways. Thus, this study may provide potential therapeutic targets for early diagnosis and treatment of periodontitis.
牙周炎是一种对人们生活有负面影响的多因素疾病。然而，对于牙周炎具有出色诊断价值的潜在关键基因的研究尚未得到系统探索。
从基因表达综合数据库下载GSE10334数据集。在通过稳健多阵列平均（RMA）算法对基因表达谱进行标准化后，筛选差异表达基因并将其纳入加权基因共表达网络分析以获得枢纽基因。采用受试者工作特征曲线分析来验证基于枢纽基因的最小绝对收缩和选择算子模型的有效性和灵敏性。此外，我们通过实时聚合酶链反应和蛋白质印迹法验证了这些枢纽基因的表达。
鉴定出八个枢纽基因，它们具有良好的诊断价值。此外，在临床牙周炎牙龈组织中，八个枢纽基因在蛋白质和mRNA水平上的上调均得到验证。
我们基于公共数据库发现了牙周炎的潜在生物标志物，这些生物标志物聚焦于多种免疫反应和炎症途径。因此，本研究可能为牙周炎的早期诊断和治疗提供潜在的治疗靶点。
