Top Institute Food and Nutrition, Wageningen, Netherlands.
Am J Clin Nutr. 2011 Sep;94(3):717-25. doi: 10.3945/ajcn.110.008631. Epub 2011 Jul 27.
The search for biomarkers of appetite is very active.
The aims were to compare dynamics of hunger and fullness ratings on a visual analog scale (VAS) with dynamics of glucagon-like peptide 1, peptide tyrosine-tyrosine, ghrelin, glucose, and insulin concentrations throughout different meal patterns-and thus different timings of nutrient delivery to the gut-by using a statistical approach that focuses on within-subject relations of these observations and to investigate whether appetite ratings are synchronized with or lag behind or in front of changes in hormone and glucose concentrations.
Subjects (n = 38) with a mean (±SD) age of 24 ± 6 y and BMI (in kg/m(2)) of 25.1 ± 3.1 came to the university twice for consumption of a 4-course lunch in 0.5 or 2 h (randomized crossover design). Per subject regression slopes and R(2) values of VAS scores on hormone and glucose concentrations were calculated. We tested whether the means of the slopes were different from zero. Regarding possible lags in the relations, the analyses were repeated with VAS scores related to hormone and glucose concentrations of the relevant previous and following measurement periods.
VAS scores and hormone and glucose concentrations changed synchronously (P < 0.005, R(2) = 0.4-0.7). Changes in ghrelin concentrations lagged behind (10-30 min) changes in hunger scores (P < 0.005, R(2) = 0.7) and insulin concentrations (P < 0.005, R(2) = 0.6), which suggests a role for insulin as a possible negative regulator of ghrelin. No major differences in slopes and R(2) values were found between the meal patterns.
This method may be useful for understanding possible differences in relations between VAS scores and hormone and glucose concentrations between subjects or conditions. Yet, the reported explained variation of 40% to 70% seems to be too small to use hormone and glucose concentrations as appropriate biomarkers for appetite, at least at the individual level and probably at the group level. This study started in 2007, which means that it was not registered as a clinical trial.
人们对食欲生物标志物的研究十分活跃。
本研究旨在通过一种统计学方法比较不同饮食模式(即不同的肠道营养输送时间)下,饥饿感和饱腹感的视觉模拟评分(VAS)与胰高血糖素样肽 1、肽酪氨酸-酪氨酸、胃饥饿素、葡萄糖和胰岛素浓度的动态变化,以此探讨这些观察指标的个体内关系,并研究食欲评分是否与激素和血糖浓度的变化同步、滞后或超前。
38 名年龄(均值±标准差)为 24 ± 6 岁、BMI(kg/m2)为 25.1 ± 3.1 的研究对象,两次到大学分别进食 4 道菜的午餐,时间为 0.5 或 2 h(随机交叉设计)。计算每位研究对象 VAS 评分与激素和血糖浓度的回归斜率和 R2 值。我们检验了斜率的平均值是否与零值存在差异。关于这些关系中可能存在的滞后现象,我们重复了 VAS 评分与相关前、后续测量期激素和血糖浓度的分析。
VAS 评分与激素和血糖浓度的变化是同步的(P < 0.005,R2 = 0.4-0.7)。胃饥饿素浓度的变化滞后于饥饿评分(10-30 min,P < 0.005,R2 = 0.7)和胰岛素浓度的变化(P < 0.005,R2 = 0.6),这表明胰岛素可能是胃饥饿素的一个负调节因子。两种饮食模式之间的斜率和 R2 值没有明显差异。
这种方法可能有助于理解个体或条件下 VAS 评分与激素和血糖浓度之间关系的差异。然而,报告的 40%至 70%的解释变异似乎太小,至少在个体水平上,而且可能在群体水平上,不能将激素和血糖浓度作为合适的食欲生物标志物。本研究开始于 2007 年,因此没有作为临床试验进行注册。