Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China.
Int J Environ Res Public Health. 2022 Mar 30;19(7):4122. doi: 10.3390/ijerph19074122.
Saliva has been studied as a better indicator of disorders and diseases than blood. Specifically, the salivary glucose level is considered to be an indicator of diabetes mellitus (DM). However, saliva collection methods can affect the salivary glucose level, thereby affecting the correlation between salivary glucose and blood glucose. Therefore, this study aims to identify an ideal saliva collection method and to use this method to determine the population and individual correlations between salivary glucose and blood glucose levels in DM patients and healthy controls. Finally, an analysis of the stability of the individual correlations is conducted.
This study included 40 age-matched DM patients and 40 healthy controls. In the fasting state, saliva was collected using six saliva collection methods, venous blood was collected simultaneously from each study participant, and both samples were analyzed at the same time using glucose oxidase peroxidase. A total of 20 DM patients and 20 healthy controls were arbitrarily selected from the above participants for one week of daily testing. The correlations between salivary glucose and blood glucose before and after breakfast were analyzed. Finally, 10 DM patients and 10 healthy controls were arbitrarily selected for one month of daily testing to analyze the stability of individual correlations.
Salivary glucose levels were higher in DM patients than healthy controls for the six saliva collection methods. Compared with unstimulated saliva, stimulated saliva had decreased glucose level and increased salivary flow. In addition, unstimulated parotid salivary glucose was most correlated with blood glucose level (R = 0.9153), and the ROC curve area was 0.9316, which could accurately distinguish DM patients. Finally, it was found that the correlations between salivary glucose and blood glucose in different DM patients were quite different. The average correlation before breakfast was 0.83, and the average correlation after breakfast was 0.77. The coefficient of variation of the correlation coefficient before breakfast within 1 month was less than 5%.
Unstimulated parotid salivary glucose level is the highest and is most correlated with blood glucose level, which can be accurately used to distinguish DM patients. Meanwhile, the correlation between salivary glucose and blood glucose was found to be relatively high and stable before breakfast. In general, the unstimulated parotid salivary glucose before breakfast presents an ideal saliva collecting method with which to replace blood-glucose use to detect DM, which provides a reference for the prediction of DM.
唾液已被研究为一种比血液更好的疾病和疾病指标。具体来说,唾液中的葡萄糖水平被认为是糖尿病(DM)的指标。然而,唾液采集方法会影响唾液中的葡萄糖水平,从而影响唾液葡萄糖与血糖之间的相关性。因此,本研究旨在确定一种理想的唾液采集方法,并使用该方法确定 DM 患者和健康对照者的唾液葡萄糖与血糖水平的人群和个体相关性。最后,对个体相关性的稳定性进行分析。
本研究纳入了 40 名年龄匹配的 DM 患者和 40 名健康对照者。在禁食状态下,使用六种唾液采集方法采集唾液,同时从每位研究参与者采集静脉血,并同时使用葡萄糖氧化酶过氧化物酶进行分析。从上述参与者中随机选择 20 名 DM 患者和 20 名健康对照者进行一周的日常测试。分析早餐前后唾液葡萄糖与血糖之间的相关性。最后,随机选择 10 名 DM 患者和 10 名健康对照者进行一个月的日常测试,以分析个体相关性的稳定性。
六种唾液采集方法中,DM 患者的唾液葡萄糖水平均高于健康对照组。与非刺激唾液相比,刺激唾液的葡萄糖水平降低,唾液流量增加。此外,非刺激腮腺唾液葡萄糖与血糖水平相关性最高(R=0.9153),ROC 曲线面积为 0.9316,可准确区分 DM 患者。最后发现,不同 DM 患者的唾液葡萄糖与血糖之间的相关性差异很大。早餐前的平均相关性为 0.83,早餐后的平均相关性为 0.77。早餐前 1 个月内相关系数的变异系数小于 5%。
非刺激腮腺唾液葡萄糖水平最高,与血糖水平相关性最高,可准确用于区分 DM 患者。同时,早餐前发现唾液葡萄糖与血糖之间的相关性较高且稳定。总体而言,早餐前非刺激腮腺唾液葡萄糖呈现出一种理想的唾液采集方法,可以替代血糖检测来检测 DM,为 DM 的预测提供参考。