Literature DB >> 14668280

High-, but not low-bioavailability diets enable substantial control of women's iron absorption in relation to body iron stores, with minimal adaptation within several weeks.

Janet R Hunt1.   

Abstract

BACKGROUND: Adaptation of iron absorption in response to dietary iron bioavailability is less likely in premenopausal women, who generally have lower iron stores, than in men.
OBJECTIVE: The objective of the study was to ascertain whether iron absorption in women adapts to dietary iron bioavailability and whether adaptation reflects altered absorptive efficiency or adjustment to specific inhibitors or enhancers of absorption.
DESIGN: Heme- and nonheme-iron absorption from either high- or low-bioavailability diets was measured at 0 and 10 wk in premenopausal women as they consumed one of the diets for 12 wk (randomized 2 x 2 factorial design). The high- and low-bioavailability diets contained similar amounts of total iron, as 13.1 and 14.8 mg/d nonheme and 2.0 and 0.3 mg/d heme iron, respectively, and they differed in contents of meat, ascorbate, whole grains, legumes, and tea.
RESULTS: In premenopausal women, the efficiency of nonheme-iron absorption (P = 0.06, two-tailed test), but not of heme-iron absorption, tended to adapt in response to a 12-wk difference in dietary iron bioavailability, whether absorption was tested with high- or low-bioavailability menus. Bioavailability, but not adaptation, substantially influenced total iron absorption (approximately 6-fold). In contrast with iron absorption from the low-bioavailability diet, that from the high-bioavailability diet consistently was inversely associated with serum ferritin.
CONCLUSION: Only the high-bioavailability diet enabled women to absorb more iron in relation to their low iron stores. Women consuming the high-bioavailability diet absorbed up to 4.5 mg (30-35%) dietary iron with minimal influence of the diet consumed during the previous 10 wk.

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Year:  2003        PMID: 14668280     DOI: 10.1093/ajcn/78.6.1168

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  7 in total

1.  The impact of a meat- versus a vegetable-based diet on iron status in women of childbearing age with small iron stores.

Authors:  Inge Tetens; Karen M Bendtsen; Marianne Henriksen; Annette K Ersbøll; Nils Milman
Journal:  Eur J Nutr       Date:  2007-11-02       Impact factor: 5.614

2.  Iron status biomarkers in iron deficient women consuming oily fish versus red meat diet.

Authors:  S Navas-Carretero; A M Pérez-Granados; S Schoppen; B Sarria; A Carbajal; M P Vaquero
Journal:  J Physiol Biochem       Date:  2009-06       Impact factor: 4.158

3.  Salivary Cystatin SN Binds to Phytic Acid In Vitro and Is a Predictor of Nonheme Iron Bioavailability with Phytic Acid Supplementation in a Proof of Concept Pilot Study.

Authors:  Nicole M Delimont; Benjamin B Katz; Nicole M Fiorentino; Katheryne A Kimmel; Mark D Haub; Sara K Rosenkranz; John M Tomich; Brian L Lindshield
Journal:  Curr Dev Nutr       Date:  2019-04-20

4.  Calculation of Haem Iron Intake and Its Role in the Development of Iron Deficiency in Young Women from the Australian Longitudinal Study on Women's Health.

Authors:  Angela J Reeves; Mark A McEvoy; Lesley K MacDonald-Wicks; Daniel Barker; John Attia; Allison M Hodge; Amanda J Patterson
Journal:  Nutrients       Date:  2017-05-19       Impact factor: 5.717

5.  Long-Term Dose-Response Condensed Tannin Supplementation Does Not Affect Iron Status or Bioavailability.

Authors:  Nicole M Delimont; Nicole M Fiorentino; Katheryne A Kimmel; Mark D Haub; Sara K Rosenkranz; Brian L Lindshield
Journal:  Curr Dev Nutr       Date:  2017-09-11

Review 6.  The Impact of Tannin Consumption on Iron Bioavailability and Status: A Narrative Review.

Authors:  Nicole M Delimont; Mark D Haub; Brian L Lindshield
Journal:  Curr Dev Nutr       Date:  2017-01-19

7.  Natural selection on HFE in Asian populations contributes to enhanced non-heme iron absorption.

Authors:  Kaixiong Ye; Chang Cao; Xu Lin; Kimberly O O'Brien; Zhenglong Gu
Journal:  BMC Genet       Date:  2015-06-10       Impact factor: 2.797

  7 in total

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