Balan Preethi, Lim Weiying, Bee Yong Mong, Chen Qifan, Leite Fabio R M, Seneviratne Chaminda Jaya
Singapore Oral Multiomics Initiative, National Dental Research Institute Singapore (NDRIS), National Dental Centre Singapore, Singapore, Singapore; Oral Health ACP, Duke NUS Medical School, Singapore, Singapore.
Department of Endocrinology, Singapore General Hospital, Singapore, Singapore.
Int Dent J. 2025 May 30;75(4):100836. doi: 10.1016/j.identj.2025.100836.
Type 2 diabetes mellitus (T2DM) is a prevalent metabolic disorder influenced by internal metabolic disruptions and external exposures, known as exposomes, which increase disease risk. Identifying salivary metabolites is a promising method to detect biomarkers for both endogenous and environmental factors. This study utilised a dual approach to profile salivary endogenous metabolites and exposomes, aiming to provide a comprehensive understanding of T2DM by integrating biological and environmental factors, thereby improving biomarker discovery and risk prediction.
Salivary metabolites were analysed via ultraperformance liquid chromatography coupled with Q-Exactive mass spectrometry in samples from women with T2DM (n = 39) and healthy controls (n = 40). The groups were matched for age, sex, periodontitis, dyslipidaemia, and hypertension. The identified metabolites were mapped to the Human Metabolome Database and the Blood Exposome List using U.S. Environmental Protection Agency resources.
Principal component analysis revealed distinct clusters for endogenous metabolites and exposomes, leading to separate analyses. In the endogenous metabolite category, 64.5% of the metabolites significantly differing between DM and non-DM groups were dipeptides (false discovery rate <0.05, variable importance for the projection >2). Among the dipeptides, Gln-Trp and Phe-Asn were identified as the top predictors of T2DM, with an area under the curve of 0.87, while His-Phe, His-Tyr, Met-Tyr, and Leu-Gln had area under the curve of 0.85. In the exposome category, univariate regression revealed significant associations between synthetic dipeptides and agrochemical exposomes and fasting plasma glucose levels, with daminozide exhibiting the greatest effect size.
Leveraging saliva's noninvasive collection, these findings underscore the diagnostic potential of salivary dipeptides and emphasise the importance of addressing exposomes in T2DM management.
By integrating endogenous and exposome profiling, this study offers a novel approach for identifying metabolic and environmental risk factors, advancing biomarker discovery and risk prediction to improve early diagnosis and personalised management of T2DM.
2型糖尿病(T2DM)是一种常见的代谢紊乱疾病,受内部代谢紊乱和外部暴露因素(即暴露组)影响,这些因素会增加患病风险。识别唾液代谢物是检测内源性和环境因素生物标志物的一种有前景的方法。本研究采用双重方法分析唾液内源性代谢物和暴露组,旨在通过整合生物和环境因素全面了解T2DM,从而改进生物标志物发现和风险预测。
通过超高效液相色谱结合Q-Exactive质谱分析T2DM女性患者(n = 39)和健康对照者(n = 40)的唾液样本中的代谢物。两组在年龄、性别、牙周炎、血脂异常和高血压方面进行匹配。使用美国环境保护局的资源,将鉴定出的代谢物映射到人类代谢组数据库和血液暴露组列表中。
主成分分析显示内源性代谢物和暴露组有明显聚类,因此进行了单独分析。在内源性代谢物类别中,糖尿病组和非糖尿病组之间显著不同的代谢物中有64.5%是二肽(错误发现率<0.05,投影变量重要性>2)。在这些二肽中,Gln-Trp和Phe-Asn被确定为T2DM的顶级预测因子,曲线下面积为0.87,而His-Phe、His-Tyr、Met-Tyr和Leu-Gln的曲线下面积为0.85。在暴露组类别中,单变量回归显示合成二肽与农用化学品暴露组和空腹血糖水平之间存在显著关联,其中氨基脲的效应量最大。
利用唾液的非侵入性采集,这些发现强调了唾液二肽的诊断潜力,并强调了在T2DM管理中应对暴露组的重要性。
通过整合内源性和暴露组分析,本研究提供了一种识别代谢和环境风险因素的新方法,推进了生物标志物发现和风险预测,以改善T2DM的早期诊断和个性化管理。