Literature DB >> 15252423

Estimation of iron absorption in humans using compartmental modelling.

B Sarria1, J R Dainty, T E Fox, S J Fairweather-Tait.   

Abstract

OBJECTIVE: To evaluate whether a compartmental model could estimate iron absorption as accurately as the well-validated technique of plasma area under the curve using labelled test meals.
DESIGN: The study is a randomised cross-sectional intervention.
SETTING: The study was carried out at the Human Nutrition Unit at the Institute of Food Research, Norwich, UK.
SUBJECTS: A total of nine female volunteers, aged 33+/-8 y.
INTERVENTIONS: Volunteers were given an oral dose (approximately 5 mg) of Fe-57 as iron sulphate in an orange juice test drink and simultaneously infused Fe-58 (approximately 200 microg) as iron citrate over 90 min. Multiple blood samples were taken for the following 6 h. The samples were analysed by mass spectrometry and iron absorption was estimated using a mathematical model based on the appearance of Fe isotopes in plasma and the area under the curve technique.
RESULTS: The geometric mean (-1 s.d., +1 s.d.) absorption of the model estimate is 16% (9, 31) and the area under curve estimate is 18% (8, 29).
CONCLUSIONS: Results indicate that a compartmental model can be used to estimate labelled iron absorption although it is unlikely that this new method will be used in favour of an existing one. Further studies are now needed with unlabelled iron to assess whether the technique could have application in the assessment of total (haem+nonhaem) iron absorption from food.

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Year:  2005        PMID: 15252423     DOI: 10.1038/sj.ejcn.1602030

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  4 in total

1.  The challenges for molecular nutrition research 2: quantification of the nutritional phenotype.

Authors:  Ben van Ommen; Jaap Keijer; Robert Kleemann; Ruan Elliott; Christian A Drevon; Harry McArdle; Mike Gibney; Michael Müller
Journal:  Genes Nutr       Date:  2008-06-25       Impact factor: 5.523

Review 2.  Biomarkers of Nutrition for Development (BOND)-Iron Review.

Authors:  Sean Lynch; Christine M Pfeiffer; Michael K Georgieff; Gary Brittenham; Susan Fairweather-Tait; Richard F Hurrell; Harry J McArdle; Daniel J Raiten
Journal:  J Nutr       Date:  2018-06-01       Impact factor: 4.798

3.  A Boolean probabilistic model of metabolic adaptation to oxygen in relation to iron homeostasis and oxidative stress.

Authors:  Fiona Achcar; Jean-Michel Camadro; Denis Mestivier
Journal:  BMC Syst Biol       Date:  2011-04-13

4.  Alginate inhibits iron absorption from ferrous gluconate in a randomized controlled trial and reduces iron uptake into Caco-2 cells.

Authors:  Anna A Wawer; Linda J Harvey; Jack R Dainty; Natalia Perez-Moral; Paul Sharp; Susan J Fairweather-Tait
Journal:  PLoS One       Date:  2014-11-12       Impact factor: 3.240

  4 in total

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