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Postprandial glycaemic response: how is it influenced by characteristics of cereal products?

机译:餐后血糖反应:如何受到谷物产品特性的影响?

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摘要

Cereal products exhibit a wide range of glycaemic indexes (GI), but the interaction of their different nutrients and starch digestibility on blood glucose response is not well known. The objective of this analysis was to evaluate how cereal product characteristics can contribute to GI and insulinaemic index and to the parameters describing glycaemic or insulinaemic responses (incremental AUC, maximum concentration and Δpeak). Moreover, interactions between the different cereal products characteristics and glycaemic response parameters were assessed for the first time. Relationships between the cereal products characteristics and the glycaemic response were analysed by partial least square regressions, followed by modelling. A database including 190 cereal products tested by the usual GI methodology was used. The model on glycaemic responses showed that slowly digestible starch (SDS), rapidly digestible starch (RDS) and fat and fibres, and several interactions involving them, significantly explain GI by 53 % and Δpeak of glycaemia by 60 %. Fat and fibres had important contributions to glycaemic response at low and medium SDS contents in cereal products, but this effect disappears at high SDS levels. We showed also for the first time that glycaemic response parameters are dependent on interactions between starch digestibility (interaction between SDS and RDS) and nutritional composition (interaction between fat and fibres) of the cereal products. We also demonstrated the non-linear effect of fat and fibres (significant effect of their quadratic terms). Hence, optimising both the formula and the manufacturing process of cereal products can improve glucose metabolism, which is recognised as strongly influential on human health.
机译:谷物产品具有广泛的血糖指数(GI),但其不同养分和淀粉消化率对血糖反应的相互作用尚不为人所知。这项分析的目的是评估谷物产品的特性如何对GI和胰岛素抵抗指数以及描述血糖或胰岛素抵抗的参数(增量AUC,最大浓度和Δpeak)作出贡献。此外,首次评估了不同谷物产品特性与血糖反应参数之间的相互作用。通过偏最小二乘回归分析谷物产品特性与血糖反应之间的关系,然后进行建模。使用包括通过常规GI方法测试的190种谷物产品的数据库。血糖反应模型显示,缓慢消化的淀粉(SDS),快速消化的淀粉(RDS)和脂肪和纤维以及涉及它们的多种相互作用显着地解释了GI(53%)和Δpeak(血糖峰值)60%。谷物产品中低和中等SDS含量时,脂肪和纤维对血糖反应具有重要作用,但在高SDS水平下,这种作用消失。我们还首次表明,血糖反应参数取决于谷物产品的淀粉消化率(SDS和RDS之间的相互作用)与营养成分(脂肪和纤维之间的相互作用)之间的相互作用。我们还证明了脂肪和纤维的非线性效应(它们的二次项的显着效应)。因此,优化谷物产品的配方和生产工艺都可以改善葡萄糖代谢,这被认为对人体健康有很大影响。

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