Dept. of Stomatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Hua Xi Kou Qiang Yi Xue Za Zhi. 2024 Aug 1;42(4):521-530. doi: 10.7518/hxkq.2024.2024010.
This study aims to investigate possible hub genes, associated pathways, and transcription factors between chronic periodontitis (CP) and Parkinson's disease (PD).
Gene expression profiles of CP (GSE16134, GSE23586, and GSE10334) and PD (GSE20141 and GSE49036) were downloaded from the gene expression omnibus (GEO) database for differential expression analysis and functional clustering analysis. The protein-protein interaction (PPI) network was constructed, and hub genes were screened by four topological analysis algorithms and modular segmentation. Functional clustering analysis was performed. The hub genes were validated by external datasets of CP and PD, and causal relation was further assessed by Mendelian randomization (MR).
After merging the data, 1 211 differentially expressed genes (DEGs) were screened in the CP datasets; of which, 551 were upregulated and 660 were downregulated. A total of 2 407 DEGs were screened in the PD dataset, of which, 1 438 were upregulated and 969 were downregulated. The PPI network included 145 nodes and 126 edges. Four hub genes (FCGR3B, PRF1, IL18, and CD33) and three transcription factors (HSF1, HSF2, and HSF4) were finally screened. The relevant pathway was predominantly natural killer (NK) cell-mediated toxic effects. The MR results suggest a possible positive causal relationship between CP and the risk of developing PD.
This study indicated the probably shared pathophysiology and possible causal relationship between CP and PD and may offer novel concepts and therapeutic targets for future mechanistic investigations.
本研究旨在探讨慢性牙周炎(CP)和帕金森病(PD)之间可能的枢纽基因、相关途径和转录因子。
从基因表达综合数据库(GEO)下载 CP(GSE16134、GSE23586 和 GSE10334)和 PD(GSE20141 和 GSE49036)的基因表达谱,进行差异表达分析和功能聚类分析。构建蛋白质-蛋白质相互作用(PPI)网络,通过四种拓扑分析算法和模块分割筛选枢纽基因。进行功能聚类分析。通过 CP 和 PD 的外部数据集验证枢纽基因,并通过孟德尔随机化(MR)进一步评估因果关系。
合并数据后,CP 数据集筛选出 1211 个差异表达基因(DEGs);其中,上调基因 551 个,下调基因 660 个。PD 数据集共筛选出 2407 个 DEGs,其中上调基因 1438 个,下调基因 969 个。PPI 网络包含 145 个节点和 126 个边。最终筛选出 4 个枢纽基因(FCGR3B、PRF1、IL18 和 CD33)和 3 个转录因子(HSF1、HSF2 和 HSF4)。相关通路主要为自然杀伤(NK)细胞介导的毒性作用。MR 结果表明 CP 与 PD 发病风险之间可能存在正相关的因果关系。
本研究表明 CP 和 PD 之间可能存在共同的病理生理学和可能的因果关系,并为未来的机制研究提供了新的概念和治疗靶点。