PDF(Pubmed)
Abstract：
It has been suggested that a corona virus infection is linked to chronic periodontitis (COVID-19). Our objectives were to look at the expression of angiotensin-converting enzyme-2 (ACE2) in periodontal compartments containing periodontal infections to determine if ACE2 is directly or indirectly responsible for the inflammation in periodontal tissues getting worse. In this study, six non-COVID-19 periodontitis patients without diabetes served as controls, and 23 hospitalized periodontitis patients were admitted with PCR-confirmed COVID-19 with diabetes mellitus (Group 1/G1, n = 10), and without diabetes (Group 2/G2, n = 13). We evaluated the mRNA expression of ACE2, IL-6, IL-8, complement C3, and LL-37, as well as the relative proportion of Porphyromonas gingivalis, Fusobacterium nucleatum, and Veillonella parvula to represent the dysbiosis condition in periodontal microenvironment using subgingival plaque and gingival crevicular fluids (GCF) samples and quantitative real time PCR (qPCR). Every analysis was done to ascertain how they related to one another. The area under the curve (AUC) and receiver operating characteristic (ROC) curve were used to determine the sensitivity and specificity of inflammatory indicators. All the grouped patients had ACE2 detected, according to our findings, but only the G1 patients had a positive correlation (p < 0.05) between ACE2 expression and the inflammatory markers. The combination of IL-6 and C3 mRNAs was found to be 0.78 and 0.55 for the G1 group and the G2 group, respectively, based on the ROC and AUC values. According to our research, the relationship between complement C3 and IL-6 may be able to predict the degree of periodontal inflammation in COVID-19 patients who also have diabetes.
摘要：
有人认为，冠状病毒感染与慢性牙周炎（COVID-19）有关。我们的目的是观察包含牙周感染的牙周区室中血管紧张素转换酶2（ACE2）的表达，以确定ACE2是否直接或间接导致牙周组织炎症恶化。在这项研究中,6名非COVID-19牙周炎无糖尿病患者作为对照，23例牙周炎住院患者接受PCR证实的COVID-19合并糖尿病（第1/G1组，n=10），无糖尿病（组2/G2，n=13）。我们评估了ACE2，IL-6，IL-8，补体C3和LL-37的mRNA表达，以及牙龈卟啉单胞菌的相对比例，具核梭杆菌,使用龈下菌斑和龈沟液（GCF）样品和定量实时PCR（qPCR）来代表牙周微环境中的菌群失调状况。每次分析都是为了确定它们之间的关系。采用曲线下面积(AUC)和受试者工作特征(ROC)曲线测定炎性指标的敏感性和特异性。所有分组患者均检测到ACE2，根据我们的发现,但只有G1期患者的ACE2表达与炎症标志物呈正相关(p<0.05)。发现G1组和G2组的IL-6和C3mRNA的组合为0.78和0.55，分别,基于ROC和AUC值。根据我们的研究,补体C3和IL-6之间的关系可能能够预测合并糖尿病的COVID-19患者的牙周炎症程度。
