Samigullin Azat, Humpert Per M, Östman Elin
starScience GmbH, Heidelberg, Germany.
Stoffwechselzentrum Rhein Pfalz, Mannheim, Germany.
Front Med Technol. 2022 Aug 18;4:931837. doi: 10.3389/fmedt.2022.931837. eCollection 2022.
This pilot study aimed to evaluate a continuous glucose monitoring (CGM) based approach to study the effects of a functional drink containing specific amino acids and chromium picolinate (FD) and a combination of FD with a juice (FDJ) on postprandial glucose in a close to real life setting. The predefined primary endpoint for this study was the 120-min incremental area under the glucose curve (iAUC ) after meals. It was estimated that using CGM and repeated meals in 6 participants could be sufficient to match the power of the previous study in regards to the quantity of meals. Participants followed a pre-specified meal schedule over 9 days and consumed the drinks three times daily with main meals. Differences between drinks were analyzed by analysis of covariances (ANCOVA) with subject number and activity as random factors and nutrient composition as covariates. In 156 meals available for analysis, a significant 34% reduction of glucose iAUC was shown for FDJ ( < 0.001). FD did not show a significant effect on its own, but a significant reduction of 17.6% ( = 0.007) was shown in pooled data for FD and FDJ. While the differences between the two functional drinks used were not the primary focus of this study, it was sufficiently powered to detect previously described effects in 60 participants in a cross-over design under laboratory settings. The design presented defines a novel and cost-effective approach using CGM devices and app-based lifestyle tracking for studying nutritional effects on glucose at home in a close to real-life setting.
这项初步研究旨在评估一种基于连续血糖监测(CGM)的方法,以在接近现实生活的环境中研究含有特定氨基酸和吡啶甲酸铬的功能性饮料(FD)以及FD与果汁的组合(FDJ)对餐后血糖的影响。本研究预先设定的主要终点是餐后120分钟的血糖曲线下增量面积(iAUC)。据估计,在6名参与者中使用CGM和重复进餐足以在进餐量方面达到先前研究的效能。参与者在9天内遵循预先指定的进餐时间表,并且在每餐时每天饮用三次饮料。通过以受试者编号和活动为随机因素、营养成分作为协变量的协方差分析(ANCOVA)来分析饮料之间的差异。在可供分析的156次进餐中,FDJ显示血糖iAUC显著降低了34%(<0.001)。FD单独使用时未显示出显著效果,但FD和FDJ的汇总数据显示显著降低了17.6%(=0.007)。虽然本研究并非主要关注所使用的两种功能性饮料之间的差异,但在交叉设计的实验室环境中,它有足够的效能在60名参与者中检测到先前描述的效果。所提出的设计定义了一种新颖且具有成本效益的方法,即使用CGM设备和基于应用程序的生活方式跟踪,在接近现实生活的家庭环境中研究营养对血糖的影响。