Kim Ji-Youn, Kim Ki-Rim, Kim Han-Na
Department of Dental Hygiene, College of Health Science, Gachon University, Incheon 21936, Korea.
Department of Dental Hygiene, Kyungpook National University, Sangju 37224, Korea.
Healthcare (Basel). 2021 Jun 13;9(6):729. doi: 10.3390/healthcare9060729.
The aim of this study was to identify inflammatory cytokines as salivary biomarkers for periodontal disease. The subjects were 33 Korean adults aged 23 to 71 years. Using a multiplexed bead immunoassay called Luminex, the levels of inflammatory cytokines related to periodontal disease were evaluated. Oral examination for periodontal disease and gingival bleeding was conducted. With these two independent variables, differences in inflammatory cytokines were analyzed by an independent t-test and age-adjusted ANCOVA. Among the subjects, 21 had periodontal disease and 12 were healthy subjects. The gingival bleeding status was classified into low and high levels. Among 13 inflammatory cytokines in saliva, IL-1α, IL-1β, IL-4, IL-8, CCL2/MCP-1, CCL3/MIP-1α, and TNF-α were found to be significant biomarkers within the standard curve. The quantity of IL-1β was increased in subjects with high levels of gingival bleeding. IL-1α levels were increased in subjects with periodontal disease. After adjusting for age, the significant biomarkers for gingival bleeding and periodontal disease were IL-1β and IL-1α, respectively. Using the receiver operating characteristic (ROC) curve, IL-1β was confirmed as a significant biomarker. The sensitivity and specificity of IL-1β for predicting periodontitis were 88.24% and 62.5%, respectively. Therefore, IL-1 was found to be a significant biomarker for periodontal disease, and it could be used in the diagnosis of periodontal disease using saliva.
本研究的目的是确定炎症细胞因子作为牙周病的唾液生物标志物。研究对象为33名年龄在23至71岁之间的韩国成年人。使用一种名为Luminex的多重珠免疫测定法,评估与牙周病相关的炎症细胞因子水平。对牙周病和牙龈出血进行口腔检查。以这两个自变量,通过独立样本t检验和年龄调整后的协方差分析来分析炎症细胞因子的差异。在这些受试者中,21人患有牙周病,12人为健康受试者。牙龈出血状态分为低水平和高水平。在唾液中的13种炎症细胞因子中,白细胞介素-1α(IL-1α)、白细胞介素-1β(IL-1β)、白细胞介素-4(IL-4)、白细胞介素-8(IL-8)、趋化因子配体2/单核细胞趋化蛋白-1(CCL2/MCP-1)、趋化因子配体3/巨噬细胞炎性蛋白-1α(CCL3/MIP-1α)和肿瘤坏死因子-α(TNF-α)被发现是标准曲线内的显著生物标志物。牙龈出血水平高的受试者中IL-1β的量增加。患有牙周病的受试者中IL-1α水平升高。在调整年龄后,牙龈出血和牙周病的显著生物标志物分别为IL-1β和IL-1α。使用受试者工作特征(ROC)曲线,IL-1β被确认为显著生物标志物。IL-1β预测牙周炎的敏感性和特异性分别为88.24%和62.5%。因此,IL-1被发现是牙周病的显著生物标志物,可用于利用唾液诊断牙周病。