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dc.contributor.authorBeiseigel, J.M.
dc.contributor.authorHunt, J.R.
dc.contributor.authorGlahn, Raymond P.
dc.contributor.authorWelch, R.M.
dc.contributor.authorMenkir, A.
dc.contributor.authorMaziya-Dixon, B.
dc.date.accessioned2019-12-04T11:11:33Z
dc.date.available2019-12-04T11:11:33Z
dc.date.issued2007
dc.identifier.citationBeiseigel, 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.
dc.identifier.issn0002-9165
dc.identifier.urihttps://hdl.handle.net/20.500.12478/2451
dc.description.abstractBackground: 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.
dc.format.extent388-396
dc.language.isoen
dc.subjectBioavailability
dc.subjectAscorbic Acid
dc.subjectPhytic Acid
dc.subjectPolyphenols
dc.subjectTannins
dc.subjectBeans
dc.subjectMaize
dc.titleIron bioavailability from maize and beans: a comparison of human measurements with Caco-2 cell and algorithm predictions
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.affiliationUnited States Department of Agriculture
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.creator.identifierAbebe Menkir: 0000-0002-5907-9177
cg.isijournalISI Journal
cg.authorship.typesCGIAR and advanced research institute
cg.iitasubjectMaize
cg.journalAmerican Journal of Clinical Nutrition
cg.howpublishedFormally Published
cg.accessibilitystatusLimited Access
local.dspaceid93198
cg.targetaudienceScientists


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