Abstract：
The purpose of this study was to determine potential metabolic biomarkers and therapeutic drugs in the gingival tissue of individuals with periodontitis. Liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS) were used to analyze the gingival tissue samples from 20 patients with severe periodontitis and 20 healthy controls. Differential metabolites were identified using variable important in projection (VIP) values from the orthogonal partial least squares discrimination analysis (OPLS-DA) model and then verified for significance between groups using a two-tailed Student\'s t test. In total, 65 metabolites were enriched in 33 metabolic pathways, with 40 showing a significant increase and 25 expressing a significant decrease. In addition, it was found that patients with severe periodontitis have abnormalities in metabolic pathways, such as glucose metabolism, purine metabolism, amino acid metabolism, and so on. Furthermore, based on a multidimensional analysis, 12 different metabolites may be the potential biomarkers of severe periodontitis. The experiment\'s raw data have been uploaded to the MetaboLights database, and the project number is MTBLS8357. Moreover, osteogenesis differentiation characteristics were detected in the selected metabolites. The findings may provide a basis for the study of diagnostic biomarkers and therapeutic metabolites in severe periodontitis.
摘要：
这项研究的目的是确定牙周炎患者牙龈组织中潜在的代谢生物标志物和治疗药物。采用液相色谱-质谱(LC-MS)和气相色谱-质谱(GC-MS)对20例重度牙周炎患者和20例健康对照者的牙龈组织进行分析。使用正交偏最小二乘判别分析（OPLS-DA）模型中的投影重要变量（VIP）值鉴定差异代谢物，然后使用双尾学生t检验验证组间的显著性。总的来说,65种代谢物富集在33种代谢途径中，其中40个显示出显着的增加，而25个表达出显着的减少。此外,发现重度牙周炎患者的代谢途径异常，比如葡萄糖代谢，嘌呤代谢,氨基酸代谢，等等。此外，基于多维分析，12种不同的代谢产物可能是严重牙周炎的潜在生物标志物。实验的原始数据已被上传到Metabobights数据库，项目编号为MTBLS8357。此外，在选定的代谢物中检测到成骨分化特征。研究结果可为重度牙周炎的诊断性生物标志物和治疗性代谢产物的研究提供依据。
