Dai Wenjie, Ye Yuhan, Mao Bingyong, Tang Xin, Cui Shumao, Zhao Jianxin, Feng Chenchen, Zhang Qiuxiang
State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, Jiangsu, China.
School of Food Science and Technology, Jiangnan University, Wuxi, 214122, Jiangsu, China.
Inflammation. 2025 Feb 27. doi: 10.1007/s10753-025-02260-1.
Periodontitis is a chronic inflammatory disease characterized by inflammation of the periodontal soft tissues and loss of alveolar bone. In the oral environment, subgingival microorganisms and salivary metabolites reflect the host's health status. This study aimed to understand periodontitis severity and progression rate by analyzing subgingival microflora and salivary metabolites to identify potential biomarkers. Fifty-three volunteers with stage II periodontitis were graded using the bone loss (%)/age index into two grades: 33 in grade A (< 0.25) and 20 in grade B (0.25-1.00). Using a case-control study, simultaneously analyzed biomarkers associated with the severity and rate of progression of periodontitis. The red complex, the orange complex, Campylobacter spp., uncultured Candidatus Saccharibacteria and metabolites such as 5-Aminovaleric acid, N1-Acetylspermine showed a significant positive correlation with periodontal clinical parameters. Furthermore, we identified four of the salivary differential metabolites (DL-Leucineamide, Dodecanedioic acid, L-Tyrosine methyl ester and Phenylpyruvic acid) that may serve as potential biomarkers for predicting the rate of periodontitis progression. These results showed that the red complex significantly correlated with periodontitis severity and influenced changes in salivary metabolites. Additionally, biomarkers indicating the progression rate were predominantly amino acid derivatives, confirming that interactions between microorganisms and metabolites may exacerbate periodontitis development.
牙周炎是一种慢性炎症性疾病，其特征为牙周软组织炎症和牙槽骨丧失。在口腔环境中，龈下微生物和唾液代谢产物反映了宿主的健康状况。本研究旨在通过分析龈下微生物群落和唾液代谢产物来了解牙周炎的严重程度和进展速度，以识别潜在的生物标志物。53名患有II期牙周炎的志愿者使用骨丧失率（%）/年龄指数分为两个等级：A组33名（<0.25），B组20名（0.25 - 1.00）。采用病例对照研究，同时分析与牙周炎严重程度和进展速度相关的生物标志物。红色复合体、橙色复合体、弯曲杆菌属、未培养的候选糖菌以及5-氨基戊酸、N1-乙酰精胺等代谢产物与牙周临床参数呈显著正相关。此外，我们鉴定出四种唾液差异代谢产物（DL-亮氨酰胺、十二烷二酸、L-酪氨酸甲酯和苯丙酮酸），它们可能作为预测牙周炎进展速度的潜在生物标志物。这些结果表明，红色复合体与牙周炎严重程度显著相关，并影响唾液代谢产物的变化。此外，表明进展速度的生物标志物主要是氨基酸衍生物，证实微生物与代谢产物之间的相互作用可能会加剧牙周炎的发展。
