Department of Medicine and Surgery, Centro Universitario di Odontoiatria, University of Parma, 43126 Parma, Italy.
Laboratory of Biochemistry and Metabolomics, Department of Medicine and Surgery, University of Parma, 43125 Parma, Italy.
Int J Mol Sci. 2024 May 17;25(10):5448. doi: 10.3390/ijms25105448.
Periodontal diseases, including gingivitis and periodontitis, are among the most prevalent diseases in humans. Gingivitis is the mildest form of periodontal disease, characterized by inflammation of the gingiva caused by the accumulation of dental plaque. Salivary diagnostics are becoming increasingly popular due to the variation in saliva composition in response to pathological processes. We used a metabolomics approach to investigate whether a specific saliva metabolic composition could indicate preclinical stage of gingivitis. H-NMR spectroscopy was used to obtain the salivary metabolite profiles of 20 healthy subjects. Univariate/multivariate statistical analysis evaluated the whole saliva metabolite composition, and the Full-Mouth Bleeding Score (FMBS) was employed as a classification parameter. Identifying a signature of specific salivary metabolites could distinguish the subjects with high FMBS scores but still within the normal range. This set of metabolites may be due to the enzymatic activities of oral bacteria and be associated with the early stages of gingival inflammation. Although this analysis is to be considered exploratory, it seems feasible to establish an FMBS threshold that distinguishes between the absence and presence of early inflammatory alterations at the salivary level.
牙周病,包括牙龈炎和牙周炎,是人类最常见的疾病之一。牙龈炎是牙周病的最轻微形式,其特征是由于牙菌斑的积累而导致的牙龈炎症。由于唾液成分对病理过程的变化,唾液诊断变得越来越流行。我们使用代谢组学方法来研究特定的唾液代谢成分是否可以指示牙龈炎的临床前阶段。使用 H-NMR 光谱获得 20 名健康受试者的唾液代谢产物图谱。单变量/多变量统计分析评估了全唾液代谢产物组成,并用全口出血评分(FMBS)作为分类参数。鉴定出特定唾液代谢产物的特征可以区分 FMBS 评分较高但仍在正常范围内的受试者。这组代谢物可能是由于口腔细菌的酶活性,并与牙龈炎症的早期阶段有关。尽管这种分析被认为是探索性的,但似乎可以建立一个 FMBS 阈值,将唾液水平上早期炎症改变的有无区分开来。