2016
DOI: 10.1016/j.jnutbio.2016.02.005
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Pregnancy and maternal iron deficiency stimulate hepatic CRBPII expression in rats

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Cited by 21 publications
(16 citation statements)
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“…Iron deficiency is highly prevalent in all age groups (Pasricha & Drakesmith, ). Some studies reported that 46% of children aged 5–14 years old and 48% of pregnant women in the world are anaemic (Cottin et al ., ). The majority of IDA cases were due to iron deficiency in the diet, poor iron absorption and excessive loss of iron (Denic & Agarwal, ).…”
Section: Introductionmentioning
confidence: 97%
See 1 more Smart Citation
“…Iron deficiency is highly prevalent in all age groups (Pasricha & Drakesmith, ). Some studies reported that 46% of children aged 5–14 years old and 48% of pregnant women in the world are anaemic (Cottin et al ., ). The majority of IDA cases were due to iron deficiency in the diet, poor iron absorption and excessive loss of iron (Denic & Agarwal, ).…”
Section: Introductionmentioning
confidence: 97%
“…Fortifiers of iron are often used to control IDA, such as oral supplements of ferrous salts (e.g. ferrous sulphate, ferrous succinate and ferrous gluconate) (Lebedev et al ., ). However, ferrous salts are chemically unstable due to the presence of free iron ions, which easily produce free radicals, leading to lipid peroxidation and gastrointestinal side effects (Mimura et al ., ; Cancelo‐Hidalgo et al ., ; Hernández et al ., ).…”
Section: Introductionmentioning
confidence: 97%
“…The effect of maternal Fe deficiency on growth, placental:fetal ratio, placenta and liver weights, haematocrit and Fe levels in this study has been recently reported (28) . Specifically, Fe levels were decreased by 152•6 µg/g (approximately -30 %), 604•0 µg/g (approximately -60 %) and 369•4 µg/g dry tissue (approximately -75 %), in the placenta, fetal and maternal liver, respectively (28) .…”
Section: Copper and Zinc Levelsmentioning
confidence: 55%
“…At present, the methods and techniques of drug target prediction can be divided into four parts according to their principles: (1) ligand prediction based on chemical structure similarity and pharmacophore models; (2) machine intelligence learning and prediction, for which standardized names and clear molecular target correspondence are required; (3) molecular docking, in which receptors are used to make predictions; and (4) combined prediction [32]. Building on the current conditions and constraints, we selected ligand prediction as the main method and supplemented it with data from DrugBank.…”
Section: Target Prediction For the Bioactive Ingredients Of Pramentioning
confidence: 99%
“…Worldwide, 46% of children aged 5 to 14 years and 48% of pregnant women suffer from iron-deficiency anaemia (IDA) [1,2]. IDA is one of the most widespread nutritional deficiency diseases [3] and can cause cognitive deficiency and irreversible auditory and visual system damage in infants [4,5].…”
Section: Introductionmentioning
confidence: 99%