Department of Neurosurgery, Xiamen Key Laboratory of Brain Center, The First Affiliated Hospital of Xiamen University, Xiamen, China.
The Department of Neuroscience, Institute of Neurosurgery, School of Medicine, Xiamen University, Xiamen, China.
BMC Oral Health. 2021 Sep 23;21(1):466. doi: 10.1186/s12903-021-01827-2.
Although chronic periodontitis has previously been reported to be linked with Alzheimer's disease (AD), the pathogenesis between the two is unclear. The purpose of this study is to analyze and screen the relevant and promising molecular markers between chronic periodontitis and Alzheimer's disease (AD).
In this paper, we analyzed three AD expression datasets and extracted differentially expressed genes (DEGs), then intersected them with chronic periodontitis genes obtained from text mining, and finally obtained integrated DEGs. We followed that by enriching the matching the matching cell signal cascade through DAVID analysis. Moreover, the MCODE of Cytoscape software was employed to uncover the protein-protein interaction (PPI) network and the matching hub gene. Finally, we verified our data using a different independent AD cohort.
The chronic periodontitis gene set acquired from text abstracting was intersected with the previously obtained three AD groups, and 12 common genes were obtained. Functional enrichment assessment uncovered 12 cross-genes, which were mainly linked to cell morphogenesis involved in neuron differentiation, leading edge membrane, and receptor ligand activity. After PPI network creation, the ten hub genes linked to AD were retrieved, consisting of SPP1, THY1, CD44, ITGB1, HSPB3, CREB1, SST, UCHL1, CCL5 and BMP7. Finally, the function terms in the new independent dataset were used to verify the previous dataset, and we found 22 GO terms and one pathway, "ECM-receptor interaction pathways", in the overlapping functional terms.
The establishment of the above-mentioned candidate key genes, as well as the enriched signaling cascades, provides promising molecular markers for chronic periodontitis-related AD, which may help the diagnosis and treatment of AD patients in the future.
虽然慢性牙周炎以前曾被报道与阿尔茨海默病（AD）有关，但两者之间的发病机制尚不清楚。本研究旨在分析和筛选慢性牙周炎与阿尔茨海默病（AD）之间相关且有前途的分子标志物。
本文分析了三个 AD 表达数据集，并提取了差异表达基因（DEGs），然后与从文本挖掘中获得的慢性牙周炎基因进行交叉，最终得到整合的 DEGs。接下来，我们通过 DAVID 分析对匹配的细胞信号级联进行富集。此外，我们还使用 Cytoscape 软件的 MCODE 来揭示蛋白质-蛋白质相互作用（PPI）网络和匹配的枢纽基因。最后，我们使用不同的独立 AD 队列来验证我们的数据。
从文本摘要中获得的慢性牙周炎基因集与之前获得的三个 AD 组进行了交叉，得到了 12 个共同基因。功能富集评估揭示了 12 个交叉基因，这些基因主要与涉及神经元分化的细胞形态发生、前缘膜和受体配体活性有关。在创建 PPI 网络后，我们找到了与 AD 相关的十个枢纽基因，包括 SPP1、THY1、CD44、ITGB1、HSPB3、CREB1、SST、UCHL1、CCL5 和 BMP7。最后，我们使用新的独立数据集的功能术语来验证之前的数据集，在重叠的功能术语中发现了 22 个 GO 术语和一个途径“ECM-受体相互作用途径”。
上述候选关键基因的建立以及丰富的信号级联为慢性牙周炎相关 AD 提供了有前途的分子标志物，这可能有助于未来 AD 患者的诊断和治疗。
