Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; Chair of Epidemiology, University of Augsburg, University Hospital Augsburg, Stenglinstraße 2, 86156 Augsburg, Germany.
ZIEL - Institute for Food & Health, Technical University of Munich, Freising, Germany.
Nutr Metab Cardiovasc Dis. 2022 Oct;32(10):2399-2409. doi: 10.1016/j.numecd.2022.06.007. Epub 2022 Jun 18.
Evidence suggests that people react differently to the same diet due to inter-individual differences. However, few studies have investigated variation in response to dietary interventions based on individuals' baseline metabolic characteristics. This study aims to examine the differential reaction of metabotype subgroups to an OGTT and a dietary fiber intervention.
We assigned 356 healthy participants of an OGTT sub-study and a 12-week dietary fiber intervention sub-study within the enable cluster to three metabotype subgroups previously identified in the KORA F4 study population. To explore the association between plasma glucose level and metabotype subgroups, we used linear mixed models adjusted for age, sex, and physical activity. Individuals in different metabotype subgroups showed differential responses to OGTT. Compared to the healthy metabotype (metabotype 1), participants in intermediate metabotype (metabotype 2) and unfavorable metabotype (metabotype 3) had significantly higher plasma glucose concentrations at 120 min after glucose bolus (β = 7.881, p = 0.005; β = 32.79, p < 0.001, respectively). Additionally, the linear regression model showed that the Area under the curve (AUC) of plasma glucose concentrations was significantly different across the metabotype subgroups. The associations between metabotype subgroups and metabolic parameters among fiber intervention participants remained insignificant in the multivariate-adjusted linear model. However, the metabotype 3 had the highest mean reduction in insulin, cholesterol parameters (TC, LDLc, and non-HDLc), and systolic and diastolic blood pressure at the end of the intervention period.
This study supports the use of the metabotype concept to identify metabolically similar subgroups and to develop targeted dietary interventions at the metabotype subgroup level for the primary prevention of diet-related diseases.
有证据表明,由于个体间的差异,人们对相同的饮食会有不同的反应。然而,很少有研究调查基于个体基线代谢特征的饮食干预反应的个体差异。本研究旨在研究代谢亚型亚组对 OGTT 和膳食纤维干预的不同反应。
我们将 OGTT 子研究和 12 周膳食纤维干预子研究中的 356 名健康参与者分配到三个先前在 KORA F4 研究人群中确定的代谢亚型亚组。为了探索血浆葡萄糖水平与代谢亚型亚组之间的关系,我们使用线性混合模型进行调整,包括年龄、性别和体力活动。不同代谢亚型亚组的个体对 OGTT 有不同的反应。与健康代谢型(代谢型 1)相比,中间代谢型(代谢型 2)和不利代谢型(代谢型 3)的参与者在葡萄糖冲击后 120 分钟时的血浆葡萄糖浓度显著升高(β=7.881,p=0.005;β=32.79,p<0.001)。此外,线性回归模型表明,血浆葡萄糖浓度的曲线下面积(AUC)在代谢亚型亚组之间存在显著差异。在多变量调整后的线性模型中,代谢型亚组与纤维干预参与者代谢参数之间的关联仍然不显著。然而,代谢型 3 在干预期末胰岛素、胆固醇参数(TC、LDLc 和非 HDLc)以及收缩压和舒张压的平均降低幅度最大。
本研究支持使用代谢型概念来识别代谢相似的亚组,并在代谢型亚组水平上制定有针对性的饮食干预措施,以预防与饮食相关的疾病。