Iron bioavailability from maize and beans: a comparison of human measurements with Caco-2 cell and algorithm predictions
Iron bioavailability from maize and beans: a comparison of human measurements with Caco-2 cell and algorithm predictions
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DOI：
10.1093/ajcn/86.2.388
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发表时间：
2007-08-01
影响因子：
7.1
通讯作者：
Maziya-Dixon, Bussie B.
中科院分区：
文献类型：
--
作者：
Beiseigel, Jeannemarie M.;Hunt, Janet R.;Maziya-Dixon, Bussie B.
背景资料：体外消化和Caco-2细胞模型可以预测人体铁的生物利用率;然而，缺乏直接的比较。目的：研究2个玉米品种和2个豆类品种铁生物利用率的差异（白色豆子和彩色豆子），通过比较人类、Caco-2和算法结果。设计：两个随机、2 × 2析因实验比较了妇女对2种玉米的铁吸收（ACR和TZB; n = 26）和2个豆类品种（大北方和平托; n = 13），每种都用和不用来自橙子汁的抗坏血酸（AA）喂养。非血红素铁的生物利用度测定从2周保留的外源性放射性铁示踪剂，并与Caco-2细胞和算法的结果从相同的mean.Results：没有AA补充剂，妇女吸收只有约2%的铁从玉米或豆粕。结果不受玉米或豆类品种的影响。添加AA（AA：铁的摩尔比为15-20）使所有测试膳食的铁吸收大致增加三倍（P < 0.0001）。虽然Caco-2模型预测ACR玉米的铁生物利用度略高于TZB玉米（P < 0.05），但它准确预测了玉米粉的相对铁吸收。然而，Caco-2模型不准确地预测了大豆品种之间的显著差异（P < 0.0001）和大豆品种之间的强相互作用和AA的增强（P < 0.0001）。该算法的方法是更多的定性比定量有用，需要进一步发展，以准确预测多酚对铁吸收的影响。结论：Caco-2的预测证实了人类的铁吸收结果，玉米粉，但不是豆粕，算法的预测只有定性预测。
Background: An in vitro digestion and Caco-2 cell model may predict iron bioavailability to humans; however, direct comparisons are lacking.Objective: The objective was to test the differences in iron bioavailability between 2 maize varieties and 2 bean varieties (white beans and colored beans) by comparing human, Caco-2, and algorithm results.Design: Two randomized, 2 x 2 factorial experiments compared women's iron absorption from 2 maize varieties (ACR and TZB; n = 26) and 2 bean varieties (great northern and pinto; n = 13), each fed with and without ascorbic acid (AA) from orange juice. Nonheme iron bioavailability was determined from 2-wk retention of extrinsic radioiron tracers and was compared with Caco-2 cell and algorithm results from identical meals.Results: Without AA supplementation, women absorbed only about 2% of the iron from the maize or bean meals. The results were unaffected by the variety of either maize or beans. Adding AA (15-20 molar ratios of AA:iron) roughly tripled the iron absorption (P < 0.0001) from all test meals. Although the Caco-2 model predicted a slightly improved bioavailability of iron from ACR maize than from TZB maize (P < 0.05), it accurately predicted relative iron absorption from the maize meals. However, the Caco-2 model inaccurately predicted both a considerable difference between bean varieties (P < 0.0001) and a strong interaction between bean varieties and enhancement by AA (P < 0.0001). The algorithm method was more qualitatively than quantitatively useful and requires further development to accurately predict the influence of polyphenols on iron absorption.Conclusions: Caco-2 predictions confirmed human iron absorption results for maize meals but not for bean meals, and algorithm predictions were only qualitatively predictive.