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一种基于生理的模型,用于模拟西兰花产品中萝卜硫素的生物利用度和动力学。

A Physiological-Based Model for Simulating the Bioavailability and Kinetics of Sulforaphane from Broccoli Products.

作者信息

Shekarri Quchat, Dekker Matthijs

机构信息

Food Quality and Design Group, Wageningen University and Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands.

出版信息

Foods. 2021 Nov 10;10(11):2761. doi: 10.3390/foods10112761.

Abstract

There are no known physiological-based digestion models that depict glucoraphanin (GR) to sulforaphane (SR) conversion and subsequent absorption. The aim of this research was to make a physiological-based digestion model that includes SR formation, both by endogenous myrosinase and gut bacterial enzymes, and to simulate the SR bioavailability. An 18-compartment model (mouth, two stomach, seven small intestine, seven large intestine, and blood compartments) describing transit, reactions and absorption was made. The model, consisting of differential equations, was fit to data from a human intervention study using Mathwork's Simulink and Matlab software. SR urine metabolite data from participants who consumed different broccoli products were used to estimate several model parameters and validate the model. The products had high, medium, low, and zero myrosinase content. The model's predicted values fit the experimental values very well. Parity plots showed that the predicted values closely matched experimental values for the high ( = 0.95), and low ( = 0.93) products, but less so for the medium ( = 0.85) and zero ( = 0.78) myrosinase products. This is the first physiological-based model to depict the unique bioconversion processes of bioactive SR from broccoli. This model represents a preliminary step in creating a predictive model for the biological effect of SR, which can be used in the growing field of personalized nutrition.

摘要

目前尚无基于生理学的消化模型来描述萝卜硫苷(GR)向萝卜硫素(SR)的转化及后续吸收过程。本研究的目的是构建一个基于生理学的消化模型,该模型要涵盖内源性黑芥子酶和肠道细菌酶介导的SR形成过程,并模拟SR的生物利用度。构建了一个包含18个隔室(口腔、两个胃、七个小肠、七个大肠和血液隔室)的模型,用于描述转运、反应和吸收过程。该模型由微分方程组成,使用Mathwork公司的Simulink和Matlab软件对来自一项人体干预研究的数据进行拟合。使用食用不同西兰花产品的参与者的SR尿液代谢物数据来估计几个模型参数并验证该模型。这些产品的黑芥子酶含量分别为高、中、低和零。该模型的预测值与实验值拟合得非常好。残差图显示,对于高黑芥子酶含量( = 0.95)和低黑芥子酶含量( = 0.93)的产品,预测值与实验值非常接近,但对于中黑芥子酶含量( = 0.85)和零黑芥子酶含量( = 0.78)的产品,拟合程度稍差。这是首个基于生理学的模型,用于描述西兰花中生物活性SR独特的生物转化过程。该模型是创建SR生物学效应预测模型的初步步骤,可用于个性化营养这一不断发展的领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6db4/8620288/8de9262cc109/foods-10-02761-g001.jpg

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