Are there interindividual differences in the reactive hypoglycaemia response to breakfast? A replicate crossover trial.

IF 4.1 2区 医学 Q2 NUTRITION & DIETETICS European Journal of Nutrition Pub Date : 2024-12-01 Epub Date: 2024-09-04 DOI:10.1007/s00394-024-03467-y
Javier T Gonzalez, Lorenzo Lolli, Rachel C Veasey, Penny L S Rumbold, James A Betts, Greg Atkinson, Emma J Stevenson
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Abstract

Background: Following consumption of a meal, circulating glucose concentrations can rise and then fall briefly below the basal/fasting concentrations. This phenomenon is known as reactive hypoglycaemia but to date no researcher has explored potential inter-individual differences in response to meal consumption.

Objective: We conducted a secondary analysis of existing data to examine inter-individual variability of reactive hypoglycaemia in response to breakfast consumption.

Methods: Using a replicate crossover design, 12 healthy, physically active men (age: 18-30 y, body mass index: 22.1 to 28.0 kg⋅m- 2) completed two identical control (continued overnight fasting) and two breakfast (444 kcal; 60% carbohydrate, 17% protein, 23% fat) conditions in randomised sequences. Blood glucose and lactate concentrations, serum insulin and non-esterified fatty acid concentrations, whole-body energy expenditure, carbohydrate and fat oxidation rates, and appetite ratings were determined before and 2 h after the interventions. Inter-individual differences were explored using Pearson's product-moment correlations between the first and second replicates of the fasting-adjusted breakfast response. Within-participant covariate-adjusted linear mixed models and a random-effects meta-analytical approach were used to quantify participant-by-condition interactions.

Results: Breakfast consumption lowered 2-h blood glucose by 0.44 mmol/L (95%CI: 0.76 to 0.12 mmol/L) and serum NEFA concentrations, whilst increasing blood lactate and serum insulin concentrations (all p < 0.01). Large, positive correlations were observed between the first and second replicates of the fasting-adjusted insulin, lactate, hunger, and satisfaction responses to breakfast consumption (all r > 0.5, 90%CI ranged from 0.03 to 0.91). The participant-by-condition interaction response variability (SD) for serum insulin concentration was 11 pmol/L (95%CI: 5 to 16 pmol/L), which was consistent with the τ-statistic from the random-effects meta-analysis (11.7 pmol/L, 95%CI 7.0 to 22.2 pmol/L) whereas effects were unclear for other outcome variables (e.g., τ-statistic value for glucose: 0 mmol/L, 95%CI 0.0 to 0.5 mmol/L).

Conclusions: Despite observing reactive hypoglycaemia at the group level, we were unable to detect any meaningful inter-individual variability of the reactive hypoglycaemia response to breakfast. There was, however, evidence that 2-h insulin responses to breakfast display meaningful inter-individual variability, which may be explained by relative carbohydrate dose ingested and variation in insulin sensitivity of participants.

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对早餐的反应性低血糖反应存在个体差异吗?重复交叉试验。
背景:进餐后,循环血糖浓度会上升,然后短暂低于基础/空腹血糖浓度。这种现象被称为反应性低血糖,但迄今为止还没有研究人员探讨过进餐后反应性低血糖的潜在个体间差异:我们对现有数据进行了二次分析,以研究进食早餐后反应性低血糖的个体间差异:采用重复交叉设计,12 名身体健康、运动量大的男性(年龄:18-30 岁,体重指数:22.1-28.0 kg-m-2)按照随机顺序完成了两个相同的对照组(持续一夜空腹)和两个早餐组(444 千卡;60% 碳水化合物、17% 蛋白质、23% 脂肪)。在干预前和干预后 2 小时测定了血糖和乳酸盐浓度、血清胰岛素和非酯化脂肪酸浓度、全身能量消耗、碳水化合物和脂肪氧化率以及食欲评分。利用空腹调整早餐反应的第一次和第二次重复之间的皮尔逊积矩相关性来探讨个体间差异。采用参与者内协方差调整线性混合模型和随机效应荟萃分析方法来量化参与者与条件之间的相互作用:结果:食用早餐后,2 小时血糖降低了 0.44 mmol/L(95%CI:0.76 至 0.12 mmol/L),血清 NEFA 浓度降低,同时血乳酸和血清胰岛素浓度升高(所有 p 均为 0.5,90%CI 为 0.03 至 0.91)。血清胰岛素浓度的参与者-条件交互反应变异性(SD)为 11 pmol/L(95%CI:5 至 16 pmol/L),与随机效应荟萃分析的 τ 统计值(11.7 pmol/L,95%CI 7.0 至 22.2 pmol/L)一致,而对其他结果变量的影响尚不明确(如葡萄糖的 τ 统计值:0 mmol/L,95%CI 0.0 至 0.5 mmol/L):结论:尽管在群体水平上观察到了反应性低血糖,但我们无法检测到个体间对早餐反应性低血糖的任何有意义的变异。不过,有证据表明,早餐后 2 小时的胰岛素反应在个体间存在显著差异,这可能与摄入的相对碳水化合物剂量和参与者的胰岛素敏感性差异有关。
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来源期刊
CiteScore
10.20
自引率
2.00%
发文量
295
审稿时长
6 months
期刊介绍: The European Journal of Nutrition publishes original papers, reviews, and short communications in the nutritional sciences. The manuscripts submitted to the European Journal of Nutrition should have their major focus on the impact of nutrients and non-nutrients on immunology and inflammation, gene expression, metabolism, chronic diseases, or carcinogenesis, or a major focus on epidemiology, including intervention studies with healthy subjects and with patients, biofunctionality of food and food components, or the impact of diet on the environment.
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