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Maternal iron deficiency alters the expression of glucose transporters in offspring

Published online by Cambridge University Press:  13 October 2025

Misaki Furuta*
Affiliation:
Department of Health and Nutrition, Faculty of Health Management, Nagasaki International University, Sasebo, Nagasaki, Japan
Shunsuke Fujii
Affiliation:
Department of Health and Nutrition, Faculty of Health Management, Nagasaki International University, Sasebo, Nagasaki, Japan
Madoka Kumai
Affiliation:
Department of Health and Nutrition, Faculty of Health Management, Nagasaki International University, Sasebo, Nagasaki, Japan
*
Corresponding author: Misaki Furuta; Email: furuta@niu.ac.jp
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Abstract

Iron deficiency anemia is a major health problem worldwide. Iron is an essential micronutrient in the human body; its demand increases with fetal growth and gestation. Although it has been reported that glucose metabolism is also affected by iron deficiency, only few studies have investigated the influence of iron deficiency during gestation and in offspring. In this study, glucose metabolism in newborns was investigated in terms of maternal iron deficiency prior to pregnancy in a rat model. Briefly, rats were divided into control (CL) and iron deficiency (ID) groups. The levels of serum glucose and insulin and the protein expression of liver GLUT2 in neonates born to dams in the ID group increased. In contrast, the mRNA and protein expression levels of GLUT2 and GLUT4 in the skeletal muscle tended to decrease. In addition, the expression of p-Akt (Thr308), which is involved in GLUT4 membrane translocation, decreased, suggesting that GLUT4 translocation to the plasma membrane may not have been sufficiently promoted. These results suggest that maternal iron deficiency may influence glucose metabolism in neonates and potentially increase the risk of developing metabolic abnormalities and lifestyle-related diseases later in life.

Information

Type
Original Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press in association with The International Society for Developmental Origins of Health and Disease (DOHaD)
Figure 0

Table 1. Composition of experimental diet

Figure 1

Table 2. Iron content in experimental diet

Figure 2

Table 3. Primers for quantitative real-time PCR

Figure 3

Figure 1. Changes in maternal weight and weight gain. (a) Weight transition during gestation (b) Weight gain transition during gestation. CL: n = 6, 3 mg ID−: n = 5, 10 mg ID+: n = 3, 10 mg ID−: n = 3 Statistical analysis was performed using the Kruskal–Wallis test, and when a significant overall effect was detected, pairwise comparisons were conducted using Dunn’s test with Bonferroni correction. ab There are significant differences between each group that do not share superscripts (p < 0.05). Animals that were plug-positive but showed no visible implantation marks at autopsy were included in the analysis, as early pregnancy loss could not be definitively excluded.

Figure 4

Figure 2. Changes in maternal food intake and feed efficiency. (a)Food intake (g/day) transition during gestation (b) Feed efficiency (weight gain per amount of food intake) transition during gestation. CL: n = 6, 3 mg ID−: n = 5, 10 mg ID+: n = 3, 10 mg ID−: n = 3. Statistical analysis was performed using the Kruskal–Wallis test, and when a significant overall effect was detected, pairwise comparisons were conducted using Dunn’s test with Bonferroni correction. ab There are significant differences between each group that do not share superscripts (p < 0.05). Animals that were plug-positive but showed no visible implantation marks at autopsy were included in the analysis, as early pregnancy loss could not be definitively excluded.

Figure 5

Figure 3. Transition in blood hemoglobin levels before and during gestation. These graphs were presented the level of blood hemoglobin before (a) and during gestation (b). CL: n = 6, 3 mg ID−: n = 5, 10 mg ID+: n = 3, 10 mg ID−: n = 3. Statistical analysis was performed using the Kruskal–Wallis test, and when a significant overall effect was detected, pairwise comparisons were conducted using Dunn’s test with Bonferroni correction. ab There are significant differences between each group that do not share superscripts (p < 0.05). Animals that were plug-positive but showed no visible implantation marks at autopsy were included in the analysis, as early pregnancy loss could not be definitively excluded.

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Table 4. Maternal conception and delivery rates

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Table 5. Number of offspring per dam and fetal loss rate

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Table 6. Maternal organ weight

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Table 7. Birth and organ weights of neonates

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Figure 4. Blood biochemistry of neonates born from dams in the CL and ID groups. These figures were indicated various blood biochemistry parameter in neonates; concentration of serum glucose (a), and serum insulin (b), and serum adiponectin (c). Data are expressed as the mean ± standard deviation. Two-way ANOVA was used to analyze the effects of group and sex. Significance was assessed for the main effects and their interaction. Data from neonates were averaged within each dam, and statistical analyses were performed at the dam level to account for litter effects. Sample sizes were as follows: CL group (n = 6; male = 42, female = 28), and 10 mg ID+ group (n = 3; male = 28, female = 11). p < 0.05 was considered statistically significant.

Figure 11

Figure 5. mRNA and protein expression in liver and skeletal muscle of neonates. The graphs indicate mRNA and protein expression in neonates; GLUT2 mRNA relative expression (a) and protein relative expression (b) in liver, GLUT4 mRNA relative expression (c) and protein relative expression (d), and p-Akt (Thr308)/Akt protein relative expression (e), p-Akt (Ser473)/Akt protein relative expression (f), and p-PDK1 (Ser241)/PDK1 protein relative expression (g) in skeletal muscle. Representative western blot bands are shown. Data are expressed as the mean ± standard deviation. Two-way ANOVA was used to analyze the effects of group and sex. Significance was assessed for the main effects and their interaction. Data from neonates were averaged within each dam, and statistical analyses were performed at the dam level to account for litter effects. Sample sizes were as follows: CL group (n = 6 dams; males = 6-8, females = 6-7), and 10 mg ID+ group (n = 3 dams; males = 6-8, females = 6-7). The number of neonates per dam varied slightly by tissue type (liver: 8 males and 7 females; muscle: 6 males and 6 females). p < 0.05 was considered statistically significant.