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Mathematical model of zinc absorption: effects of dietary calcium, protein and iron on zinc absorption.

机译:锌吸收的数学模型:日粮钙,蛋白质和铁对锌吸收的影响。

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A previously described mathematical model of Zn absorption as a function of total daily dietary Zn and phytate was fitted to data from studies in which dietary Ca, Fe and protein were also measured. An analysis of regression residuals indicated statistically significant positive relationships between the residuals and Ca, Fe and protein, suggesting that the presence of any of these dietary components enhances Zn absorption. Based on the hypotheses that (1) Ca and Fe both promote Zn absorption by binding with phytate and thereby making it unavailable for binding Zn and (2) protein enhances the availability of Zn for transporter binding, the model was modified to incorporate these effects. The new model of Zn absorption as a function of dietary Zn, phytate, Ca, Fe and protein was then fitted to the data. The proportion of variation in absorbed Zn explained by the new model was 0.88, an increase from 0.82 with the original model. A reduced version of the model without Fe produced an equally good fit to the data and an improved value for the model selection criterion, demonstrating that when dietary Ca and protein are controlled for, there is no evidence that dietary Fe influences Zn absorption. Regression residuals and testing with additional data supported the validity of the new model. It was concluded that dietary Ca and protein modestly enhanced Zn absorption and Fe had no statistically discernable effect. Furthermore, the model provides a meaningful foundation for efforts to model nutrient interactions in mineral absorption
机译:先前描述的锌吸收作为每日总膳食锌和肌醇六磷酸的函数的数学模型适合于还测量了膳食钙,铁和蛋白质的研究数据。回归残差的分析表明,残差与Ca,Fe和蛋白质之间存在统计学上显着的正相关关系,这表明这些饮食成分中任何一种的存在都会增加Zn的吸收。基于以下假设:(1)Ca和Fe都通过与肌醇六磷酸结合而促进Zn的吸收,从而使其无法与Zn结合,并且(2)蛋白质增强了Zn与转运蛋白结合的可用性,对模型进行了修改以合并这些效应。然后将新的锌吸收模型作为日粮中锌,植酸,钙,铁和蛋白质的函数进行拟合。新模型解释的吸收锌的变化比例为0.88,与原始模型的0.82相比有所增加。不含铁的模型的简化版本对数据的拟合效果很好,并且模型选择标准的值也得到了提高,这表明当控制饮食中的钙和蛋白质时,没有证据表明饮食中的铁会影响锌的吸收。回归残差和附加数据测试证明了新模型的有效性。结论是,饮食中的钙和蛋白质适度增加了锌的吸收,而铁则没有统计学上的可分辨的作用。此外,该模型为模拟矿物质吸收中的养分相互作用提供了有意义的基础。

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