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用于深入了解淀粉消化机制及预测食物淀粉消化率和血糖生成指数的酶动力学方法。

Enzyme kinetic approach for mechanistic insight and predictions of starch digestibility and the glycaemic index of foods.

作者信息

Butterworth Peter J, Bajka Balázs H, Edwards Cathrina H, Warren Frederick J, Ellis Peter R

机构信息

Biopolymers Group, Departments of Biochemistry and Nutritional Sciences, Faculty of Life Sciences and Medicine, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London, SE1 9NH, UK.

Quadram Institute Bioscience, Rosalind Franklin Road, Norwich Research Park, Norwich, NR4 7UQ, UK.

出版信息

Trends Food Sci Technol. 2022 Feb;120:254-264. doi: 10.1016/j.tifs.2021.11.015.

Abstract

BACKGROUND

Starch is a principal dietary source of digestible carbohydrate and energy. Glycaemic and insulinaemic responses to foods containing starch vary considerably and glucose responses to starchy foods are often described by the glycaemic index (GI) and/or glycaemic load (GL). Low GI/GL foods are beneficial in the management of cardiometabolic disorders (e.g., type 2 diabetes, cardiovascular disease). Differences in rates and extents of digestion of starch-containing foods will affect postprandial glycaemia.

SCOPE AND APPROACH

Amylolysis kinetics are influenced by structural properties of the food matrix and of starch itself. Native (raw) semi-crystalline starch is digested slowly but hydrothermal processing (cooking) gelatinises the starch and greatly increases its digestibility. In plants, starch granules are contained within cells and intact cell walls can limit accessibility of water and digestive enzymes hindering gelatinisation and digestibility. studies of starch digestion by α-amylase model early stages in digestion and can suggest likely rates of digestion and expected glycaemic responses. Reports that metabolic responses to dietary starch are influenced by α-amylase gene copy number, heightens interest in amylolysis.

KEY FINDINGS AND CONCLUSIONS

This review shows how enzyme kinetic strategies can provide explanations for differences in digestion rate of different starchy foods. Michaelis-Menten and Log of Slope analyses provide kinetic parameters (e.g., and ) for evaluating catalytic efficiency and ease of digestibility of starch by α-amylase. Suitable kinetic methods maximise the information that can be obtained from work for predictions of starch digestion and glycaemic responses .

摘要

背景

淀粉是可消化碳水化合物和能量的主要膳食来源。对含淀粉食物的血糖和胰岛素反应差异很大,淀粉类食物的葡萄糖反应通常用血糖指数(GI)和/或血糖负荷(GL)来描述。低GI/GL食物对心脏代谢紊乱(如2型糖尿病、心血管疾病)的管理有益。含淀粉食物消化速率和程度的差异会影响餐后血糖。

范围和方法

淀粉分解动力学受食物基质和淀粉本身结构特性的影响。天然(生的)半结晶淀粉消化缓慢,但水热加工(烹饪)会使淀粉糊化并大大提高其消化率。在植物中,淀粉颗粒存在于细胞内,完整的细胞壁会限制水和消化酶的可及性,从而阻碍糊化和消化。对α-淀粉酶模型消化早期阶段淀粉消化的研究可以提示可能的消化速率和预期的血糖反应。有报道称对膳食淀粉的代谢反应受α-淀粉酶基因拷贝数的影响,这增加了人们对淀粉分解的兴趣。

主要发现和结论

本综述展示了酶动力学策略如何为不同淀粉类食物消化速率的差异提供解释。米氏分析和斜率对数分析提供了动力学参数(如 和 ),用于评估α-淀粉酶对淀粉的催化效率和消化难易程度。合适的动力学方法能最大限度地从 工作中获取信息,以预测淀粉消化和血糖反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d99d/8850932/acdcb61790e1/ga1.jpg

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