Iron bioavailability from maize and beans: a comparison of human measurements with Caco-2 cell and algorithm predictions
cg.authorship.types | CGIAR and advanced research institute | en |
cg.contributor.affiliation | United States Department of Agriculture | en |
cg.contributor.affiliation | International Institute of Tropical Agriculture | en |
cg.coverage.country | Nigeria | |
cg.coverage.iso3166-alpha2 | NG | |
cg.coverage.region | Africa | |
cg.coverage.region | Western Africa | |
cg.creator.identifier | Abebe Menkir: 0000-0002-5907-9177 | |
cg.howPublished | Formally Published | en |
cg.identifier.project | IFPRI - Archive | |
cg.isijournal | ISI Journal | en |
cg.issn | 0002-9165 | en |
cg.issue | 2 | en |
cg.journal | American Journal of Clinical Nutrition | en |
cg.reviewStatus | Peer Review | en |
cg.subject.iita | MAIZE | en |
cg.volume | 86 | en |
dc.contributor.author | Beiseigel, J.M. | en |
dc.contributor.author | Hunt, J.R. | en |
dc.contributor.author | Glahn, Raymond P. | en |
dc.contributor.author | Welch, R.M. | en |
dc.contributor.author | Menkir, A. | en |
dc.contributor.author | Maziya-Dixon, B.B. | en |
dc.date.accessioned | 2018-05-14T14:35:44Z | en |
dc.date.available | 2018-05-14T14:35:44Z | en |
dc.identifier.uri | https://hdl.handle.net/10568/92544 | |
dc.title | Iron bioavailability from maize and beans: a comparison of human measurements with Caco-2 cell and algorithm predictions | en |
dcterms.abstract | 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 × 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. | en |
dcterms.accessRights | Limited Access | |
dcterms.audience | Scientists | en |
dcterms.bibliographicCitation | Beiseigel, J.M., Hunt, J.R., Glahn, R.P., Welch, R., Menkir, A.& Maziya-Dixon, B.B. (2007). Iron bioavailability from maize and beans: a comparison of human measurements with Caco-2 cell and algorithm predictions. The American Journal of Clinical Nutrition, 86(2), 388-396. | en |
dcterms.extent | 388-396 | en |
dcterms.issued | 2007 | |
dcterms.language | en | |
dcterms.replaces | https://ebrary.ifpri.org/digital/collection/p15738coll5/id/1210 | en |
dcterms.subject | bioavailability | en |
dcterms.subject | ascorbic acid | en |
dcterms.subject | phytic acid | en |
dcterms.subject | polyphenols | en |
dcterms.subject | tannins | en |
dcterms.subject | beans | en |
dcterms.subject | maize | en |
dcterms.type | Journal Article |
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