Second hospital of Shanxi medical university, Taiyuan, 030000, China.
Sci Rep. 2023 Jun 27;13(1):10381. doi: 10.1038/s41598-023-37027-x.
Periodontitis is an inflammatory and immune-related disease with links to several systemic diseases, and the pathological process of atherosclerosis also involves inflammatory and immune involvement. The aim of this study was to investigate the common immune cells and potential crosstalk genes between periodontitis (PD) and atherosclerosis (AS). By analyzing the weighted gene co-expression network of differentially immune infiltrating cells in two diseases to obtain important module genes, and taking the intersection of the module genes, we obtained 14 co-expressed immune-related genes, and evaluated the predictive value of 14 immune-related genes using three machine learning models.Two potential immune-related crosstalk genes (BTK and ITGAL) were finally obtained by taking intersections of WGCNA intersection genes, DEGs and IRGs.Then, the diagnostic column line graphs were constructed based on the 2 crosstalk genes, and the calibration curves, DCA curves and clinical impact curves indicated that the two genes had strong disease prediction ability, and we further validated the accuracy of the two potential crosstalk genes for disease diagnosis in the validation dataset.Single gene GSEA analysis showed that both genes are jointly involved in biological processes such as antigen presentation and immune regulation, and single sample GSEA analysis showed that macrophages and T cells play an important role in periodontitis in atherosclerosis.This study explored the genetic correlation between atherosclerosis and periodontitis using bioinformatics tools. BTK and ITGAL were found to be the most important crosstalk genes between the two diseases and may have an important role in the diagnosis and treatment of the diseases. Macrophage and T cell mediated inflammatory and immune responses may play an important role in periodontitis and atherosclerosis.
牙周炎是一种与多种系统性疾病相关的炎症和免疫相关疾病，动脉粥样硬化的病理过程也涉及炎症和免疫参与。本研究旨在探讨牙周炎（PD）和动脉粥样硬化（AS）之间共同的免疫细胞和潜在的串扰基因。通过分析两种疾病中差异免疫浸润细胞的加权基因共表达网络，获得重要的模块基因，并取模块基因的交集，获得 14 个共表达的免疫相关基因，使用三种机器学习模型评估 14 个免疫相关基因的预测价值。最后通过取 WGCNA 交集基因、DEGs 和 IRGs 的交集得到两个潜在的免疫相关串扰基因（BTK 和 ITGAL）。然后，基于这两个基因构建诊断列线图，校准曲线、DCA 曲线和临床影响曲线表明这两个基因具有很强的疾病预测能力，我们进一步在验证数据集验证了两个潜在的串扰基因对疾病诊断的准确性。单基因 GSEA 分析表明，这两个基因共同参与抗原呈递和免疫调节等生物学过程，单样本 GSEA 分析表明，在动脉粥样硬化中的牙周炎中，巨噬细胞和 T 细胞发挥重要作用。本研究使用生物信息学工具探讨了动脉粥样硬化和牙周炎之间的遗传相关性。发现 BTK 和 ITGAL 是两种疾病之间最重要的串扰基因，它们可能在疾病的诊断和治疗中发挥重要作用。巨噬细胞和 T 细胞介导的炎症和免疫反应可能在牙周炎和动脉粥样硬化中发挥重要作用。
