INRAE, Plateforme d'Exploration du Métabolisme Composante Protéome PFEMcp, St-Genès-Champanelle, France.
Centre des Sciences du Goût et de l'Alimentation, AgroSup Dijon, CNRS, INRAE, Université de Bourgogne Franche-Comté, Dijon, France.
Eur J Nutr. 2021 Dec;60(8):4331-4344. doi: 10.1007/s00394-021-02584-2. Epub 2021 May 26.
Objective markers of usual diet are of interest as alternative or validating tools in nutritional epidemiology research. The main purpose of the work was to assess whether saliva protein composition can reflect dietary habits in older adults, and how type 2 diabetes impacted on the saliva-diet correlates.
214 participants were selected from 2 European cohorts of community-dwelling older adults (3C-Bordeaux and Seniors-ENRICA-2), using a case-control design nested in each cohort. Cases were individuals with type 2 diabetes. Dietary information was obtained using the Mediterranean Diet Adherence Screener (MEDAS). Saliva was successfully obtained from 211 subjects, and its proteome analyzed by liquid chromatography-tandem mass spectrometry.
The relative abundance of 246 saliva proteins was obtained across all participants. The salivary proteome differed depending on the intake level of some food groups (especially vegetables, fruits, sweet snacks and red meat), in a diabetic status- and cohort-specific manner. Gene Set Enrichment Analysis suggested that some biological processes were consistently affected by diet across cohorts, for example enhanced platelet degranulation in high consumers of sweet snacks. Minimal models were then fitted to predict dietary variables by sociodemographic, clinical and salivary proteome variables. For the food group «sweet snacks», selected salivary proteins contributed to the predictive model and improved its performance in the Seniors-ENRICA-2 cohort and when both cohorts were combined.
Saliva proteome composition of elderly individuals can reflect some aspects of dietary patterns.
常用饮食的客观标志物作为营养流行病学研究的替代或验证工具很有意义。本研究的主要目的是评估唾液蛋白组成是否可以反映老年人的饮食习惯，以及 2 型糖尿病如何影响唾液与饮食的相关性。
采用病例对照设计，在 2 个欧洲社区居住的老年人队列（3C-Bordeaux 和 Seniors-ENRICA-2）中选择了 214 名参与者。病例为 2 型糖尿病患者。使用地中海饮食依从性筛查器（MEDAS）获得饮食信息。成功从 211 名受试者中获得唾液，并通过液相色谱-串联质谱法分析其蛋白质组。
在所有参与者中均获得了 246 种唾液蛋白的相对丰度。唾液蛋白质组的组成因某些食物组（尤其是蔬菜、水果、甜食和红肉）的摄入水平而异，且存在糖尿病状态和队列特异性差异。基因集富集分析表明，一些生物学过程在不同队列中都受到饮食的一致影响，例如甜食高消费人群血小板脱颗粒增强。然后拟合最小模型，通过社会人口统计学、临床和唾液蛋白质组变量预测饮食变量。对于“甜食”这一食物组，选定的唾液蛋白对预测模型有贡献，并提高了其在 Seniors-ENRICA-2 队列中的性能，以及在两个队列合并时的性能。
老年人的唾液蛋白质组组成可以反映某些饮食模式。
