Quantitative relations between baseline iron status , study duration , and iron dose on changes in iron-status biomarkers , which were generated from the meta-analyses , can be used to predict effects of trials of iron supplementation and fortification and to design iron-intervention programs
BACKGROUND The response of status biomarkers to an increase in iron supply depends on several physiologic and environmental factors , which make it difficult to predict the outcome of an intervention .
OBJECTIVE We assessed effects of baseline iron status , sex , menopausal status , duration of intervention , iron form , and daily dose on the change in iron status in response to iron supplementation .
Response of serum transferrin receptor to iron supplementation in iron-depleted, nonanemic women.
Serum transferrin receptor ( sTfR ) concentration has been recognized recently as a reliable indicator of functional iron deficiency , but its response to iron supplementation has not been investigated in marginally iron-deficient women . In this r and omized , double-blinded trial , 37 female subjects aged 19 - 35 y with iron depletion without anemia ( hemoglobin > 120 g/L and serum ferritin < 16 microg/L ) received an iron supplement or placebo for 8 wk . Iron status was measured before treatment , after 4 wk of treatment , and posttreatment ( ie , after 8 wk of treatment ) . Iron supplementation of these iron-depleted , nonanemic women result ed in a progressive and significant decrease in sTfR and a significant increase in serum ferritin , and prevented a fall in hemoglobin . The responsiveness of sTfR to iron treatment indicated that sTfR is a sensitive indicator of marginal iron deficiency in iron-depleted , nonanemic women , even when their body iron stores were being replenished
Quantitative relations between baseline iron status , study duration , and iron dose on changes in iron-status biomarkers , which were generated from the meta-analyses , can be used to predict effects of trials of iron supplementation and fortification and to design iron-intervention programs
BACKGROUND The response of status biomarkers to an increase in iron supply depends on several physiologic and environmental factors , which make it difficult to predict the outcome of an intervention .
OBJECTIVE We assessed effects of baseline iron status , sex , menopausal status , duration of intervention , iron form , and daily dose on the change in iron status in response to iron supplementation .