| Literature DB >> 31487815 |
Simone Buerkli1, Ndèye Fatou Ndiaye2, Colin I Cercamondi3, Isabelle Herter-Aeberli3, Diego Moretti3, Michael B Zimmermann3.
Abstract
Helicobacter pylori infection is common in low-income countries. It has been associated with iron deficiency and reduced efficacy of iron supplementation. Whether H. pylori infection affects iron absorption from fortified and biofortified foods is unclear. Our objective was to assess whether asymptomatic H. pylori infection predicts dietary iron bioavailability in women and children, two main target groups of iron fortification programs. We did a pooled analysis of studies in women of reproductive age and preschool children that were conducted in Benin, Senegal and Haiti using stable iron isotope tracers to measure erythrocyte iron incorporation. We used mixed models to assess whether asymptomatic H. pylori infection predicted fractional iron absorption from ferrous sulfate, ferrous fumarate or NaFeEDTA, controlling for age, hemoglobin, iron status (serum ferritin), inflammation (C-reactive protein), and test meal. The analysis included 213 iron bioavailability measurements from 80 women and 235 measurements from 90 children; 51.3% of women and 54.4% of children were seropositive for H. pylori. In both women and children, hemoglobin (Hb), serum ferritin (SF), and C-reactive protein (CRP) did not differ between the seropositive and seronegative groups. Geometric mean (95% CI) fractional iron absorption (%), adjusted for SF, was 8.97% (7.64, 10.54) and 6.06% (4.80, 7.67) in H. pylori positive and negative women (p = 0.274), and 9.02% (7.68, 10.59) and 7.44% (6.01, 9.20) in H. pylori positive and negative children (p = 0.479). Our data suggest asymptomatic H. pylori infection does not predict fractional iron absorption from iron fortificants given to preschool children or young women in low-income settings.Entities:
Keywords: H. pylori; Helicobacter pylori; asymptomatic H. pylori infection; biofortification; fortification; iron absorption; iron bioavailability; preschool children; women of reproductive age
Mesh:
Substances:
Year: 2019 PMID: 31487815 PMCID: PMC6770439 DOI: 10.3390/nu11092093
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Overview of the studies included in this analysis: Study population, sample size, test meals and iron compounds given.
| Study | Location | Age Group | N | Test Meal Matrix | Fe/Meal (mg) | Study Arms (Fe Compound, Inhibitor or Enhancer) |
|---|---|---|---|---|---|---|
| 1 | Benin | Preschool children | 18 | Pearl millet porridge | 6 | 1. FeSO4 |
| 2. FeSO4 and NaFeEDTA 1 | ||||||
| 2 | Benin | Preschool children | 16 | Pearl millet porridge | 6 | 1. FeSO4 |
| 2. FeSO4 and Ascorbic Acid | ||||||
| 3 | Benin | Preschool children | 18 | Pearl millet porridge | 6 | 1. FeSO4 |
| 2. FeSO4 and phytase | ||||||
| 3. FeSO4 and phytase and Ascorbic Acid | ||||||
| 4 | Senegal | Preschool children | 17 | Wheat bread | 2 | 1. Fe Fumarate |
| 2. FeSO4 | ||||||
| 3. Fe Fumarate and tea infusion | ||||||
| 4. FeSO4 and tea infusion | ||||||
| 5 | Haiti | Preschool children | 21 | Wheat bread | 2 | 1. Fe Fumarate |
| 2. NaFeEDTA | ||||||
| 6 | Benin | Women | 23 | Fermented sorghum porridge | 3 | 1. NaFeEDTA |
| 7 | Benin | Women | 20 | Pearl millet paste | 4 | 1. Regular millet: FeSO4 |
| 2. Biofortified millet: FeSO4 | ||||||
| 3. Post-harvest fortified millet: FeSO4 | ||||||
| 8 | Senegal | Women | 17 | Wheat bread | 4 | 1. Fe Fumarate |
| 2. FeSO4 | ||||||
| 3. Fe Fumarate and tea infusion | ||||||
| 4. FeSO4 and tea infusion | ||||||
| 9 | Haiti | Women | 21 | Wheat bread | 4 | 1. Fe Fumarate |
| 2. NaFeEDTA | ||||||
| 3. NaFeEDTA and Fe fumarate 2 |
1 3 mg Fe as FeSO4 mixed with 3 mg Fe as NaFeEDTA. 2 2 mg Fe as NaFeEDTA mixed with 2 mg Fe fumarate.
Figure 1Study flow chart: Five iron absorption studies in preschool children and four iron absorption studies in women of reproductive age were conducted at different sites. Five participants were excluded from the analysis because Helicobacter pylori status was not assessed.
Subject characteristics: Age, anthropometrics, hemoglobin (Hb), serum ferritin (SF), and C-reactive protein (CRP) concentrations, of all subjects grouped by H. pylori infection status and age group 1.
| Children | Women | |||||
|---|---|---|---|---|---|---|
| Positive | Negative |
| Positive | Negative |
| |
| n | 49 | 41 | - | 41 | 39 | - |
| Age y | 2.8 (2.6, 3.1) 2 | 2.9 (2.6, 3.2) | 0.882 | 25.7 (23.4, 28.3) | 21.8 (20.2, 23.6) | 0.007 |
| Weight, kg | 12.3 (11.7, 13.0) | 12.4 (11.7, 13.2) | 0.975 | 55.1 (53.3, 57.0) | 55.0 (52.7, 57.4) | 0.997 |
| Height, cm | 91 (89, 94) | 92 (89, 95) | 0.972 | 160 (158, 162) | 162 (159, 164) | 0.447 |
| WAZ | −0.94 ± 0.78 3 | −0.93 ± 1.08 | 0.759 | n.a. | - | |
| HAZ | −0.88 ± 1.32 | −0.89 ± 1.63 | 0.818 | n.a. | - | |
| WHZ | −0.68 ± 0.87 | −0.67 ± 1.10 | 0.938 | n.a. | - | |
| Hb g/L | 109 (107, 112) | 114 (110, 117) | 0.052 | 126 (121, 132) | 125 (121, 130) | 0.776 |
| SF µg/L | 32.6 (26.7, 39.8) | 31.7 (25.1, 40.0) | 0.855 | 30.1 (22.1, 41.0) | 30.0 (22.9, 39.4) | 0.989 |
| SF adjusted 4 µg/L | 15.8 (12.9, 19.4) | 16.6 (13.3, 20.7) | 0.744 | 18.2 (13.8, 24.1) | 19.1 (14.6, 25.1) | 0.797 |
| CRP mg/L | 1.20 (0.71, 2.03) | 0.82 (0.49, 1.37) | 0.499 | 0.67 (0.43, 1.05) | 0.60 (0.41, 0.88) | 0.696 |
| CRP > 5 mg/L (n) | 12 | 8 | - | 2 | 3 | - |
1 Differences between H. pylori positive versus negative were assessed by unpaired t-test. WAZ, weight-for-age z score; HAZ, height-for-age z score; WHZ, weight-for-height z score; n.a., not applicable; Hb, hemoglobin; SF, serum ferritin; CRP, C-reactive protein. 2 All such values are geometric means (95% CIs). 3 All such values are means ± SD. 4 Serum ferritin adjusted for C-reactive protein [37].
The minimal adequate model predicting fractional iron absorption of preschool children (n = 90) and women of reproductive age (n = 80) in relation to H. pylroi infection, food matrix, iron compound, whether the test meal contained an iron absorption enhancer or inhibitor, gender, age, hemoglobin and serum ferritin adjusted for inflammation 1.
| Children 2 | Women 3 | |||||
|---|---|---|---|---|---|---|
| Variables |
| SE |
|
| SE |
|
| Intercept | 1.62 | 0.21 | 0.000 | −0.22 | 1.69 | 0.898 |
| removed from the model | removed from the model | |||||
| Food Matrix (all pairwise) | ||||||
| wheat bread-millet paste | n.a. | 0.34 | 0.09 | 0.000 | ||
| wheat bread-fermented sorghum | n.a. | −0.21 | 0.09 | 0.016 | ||
| millet paste-fermented sorghum | n.a. | −0.55 | 0.10 | 0.000 | ||
| millet-porridge-wheat bread | 0.41 | 0.11 | 0.000 | n.a. | ||
| Fe compound (all pairwise) | removed from the model | |||||
| Sulfate-Fumarate | 0.17 | 0.05 | 0.001 | |||
| Sulfate-EDTA | 0.05 | 0.08 | 0.557 | |||
| Sulfate-Sulfate and EDTA | 0.15 | 0.06 | 0.024 | |||
| Fumarate-EDTA | −0.13 | 0.07 | 0.055 | |||
| Fumarate-Sulfate and EDTA | −0.02 | 0.08 | 0.762 | |||
| EDTA-Sulfate and EDTA | 0.10 | 0.10 | 0.320 | |||
| Fe absorption enhancer | n.a. | |||||
| Ascorbic Acid-none | 0.19 | 0.07 | 0.005 | |||
| Phytase-none | 0.29 | 0.06 | 0.000 | |||
| Ascorbic Acid and Phytase-none | 0.36 | 0.06 | 0.000 | |||
| Fe absorption inhibitor | ||||||
| Tea-none | −0.42 | 0.05 | 0.000 | −0.33 | 0.05 | 0.000 |
| Gender | removed from the model | n.a. | ||||
| Age | −0.83 | 0.34 | 0.019 | removed from the model | ||
| Hemoglobin | removed | 0.93 | 0.85 | 0.273 | ||
| Serum ferritin adjusted for CRP | removed | −0.52 | 0.13 | 0.000 | ||
1 The minimal adequate model assessed by backward regression. Estimates (b) and standard errors (SE) assessed by linear mixed model: Random factor: Subject ID number; dependent variable: Fractional iron absorption; fixed factors in children’s model: Food matrix, Fe compound, Fe absorption enhancer, Fe absorption inhibitor, and age; fixed factors in women’s model: Food matrix, Fe absorption inhibitor, hemoglobin and serum ferritin adjusted for CRP (C-reactive protein). 2 Minimal adequate regression model of children: R2 = 0.239; adjusted R2 = 0.218. 3 Minimal adequate regression model of women: R2 = 0.272; adjusted R2 = 0.254. 4 Removed variable by the backward regression to assess the minimal adequate model.
Figure 2Log fractional iron absorption adjusted for SF of 40 µg/L, of H. Pylori positive and negative children (n = 90) and women (n = 80), each dot represents a test meal. H. Pylori positive children: n = 128, negative: n = 107, women n = 126 and n = 87 respectively. The line indicates the mean and 95% CI. There were no significant differences (NSD) between H. Pylori positive versus negative women nor children, assessed by LMM (dependent variable: Fractional iron absorption adjusted for serum ferritin; fixed factors: H. Pylori infection, iron compound, test meal food matrix and iron absorption enhancer or inhibitor; random factor: Subject ID number).