Literature DB >> 30343273

Administration of ferrous sulfate drops has significant effects on the gut microbiota of iron-sufficient infants: a randomised controlled study.

Kotryna Simonyté Sjödin1, Magnus Domellöf1, Carina Lagerqvist1, Olle Hernell1, Bo Lönnerdal2, Ewa A Szymlek-Gay3, Andreas Sjödin4, Christina E West1, Torbjörn Lind1.   

Abstract

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Keywords:  clinical trials; colonic microflora; infant/neonatal nutrition; iron nutrition

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Year:  2018        PMID: 30343273      PMCID: PMC6839800          DOI: 10.1136/gutjnl-2018-316988

Source DB:  PubMed          Journal:  Gut        ISSN: 0017-5749            Impact factor:   23.059


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We read with interest the work by Jaeggi et al 1 and Paganinni et al 2 and commend their efforts. Despite differences in iron concentration, infants’ age and sequencing techniques, both studies demonstrate unfavourable iron effects on gut microbiota with decreased abundance of bifidobacteria and lactobacillus, and increased abundance of pathogenic bacteria in iron-deficient/anaemic Kenyan infants. We have investigated changes in gut microbial composition due to iron fortification or supplementation in healthy, Swedish infants. Iron-sufficient infants at 6 months of age were randomly allocated to receive low-iron-fortified formula (1.2 mg Fe/day; n=24), high-iron-fortified formula (6.6 mg Fe/day; n=24) or no-added-iron formula with liquid ferrous sulfate supplementation (iron drops; 6.6 mg Fe/day; n=24) for 45 days. All participants gave their informed consent before inclusion through parents or legal guardians. Total iron intake was 1.2, 6.4 and 5.7 mg/day (all differences p<0.01) in the low-iron, high-iron and iron-drops group, respectively. Stool samples were collected before and after the intervention. We applied 16S rRNA gene amplicon sequencing of the V3–V4 region to profile the gut microbiome using Illumina MiSeq. We used QIIME3 to assess composition and diversity of gut microbiota and the DESeq2 package4 to investigate differences in relative abundance of gut bacteria among the groups. PICRUSt was used to predict metagenome functional content.5 Vaginally delivered infants (n=53) with paired stool samples were included in the analyses. There were no significant differences in anthropometrics or iron-related biomarkers among the randomisation groups; no adverse effects were reported (diarrhoea, increased rates of infections, other illnesses, etc), and growth was not affected (table 1).6
Table 1

Baseline characteristics of the study participants and anthropometric and biochemical values at the 45-day follow-up.

Low-iron formulaHigh-iron formulaFe drops
Participants (n)181817
Girls (n)7911
Birth weight (g)* 3717±5603548±4253800±436
Birth length (cm)* 51.1±2.250.2±1.651.7±1.7
Age at inclusion (months)* 6.1±0.36.1±0.26.1±0.3

Data are mean/geometric mean±SD or median (25th, 75th percentile).

*Mean ±SD.

†P values for within-group differences, paired-samples t-test.

‡P values for between-group differences, ANOVA.

§Geometric mean ±SD.

¶Median (25th, 75th percentile).

**P values for within-group differences, related-samples Wilcoxon signed-rank test.

††P values for between-group difference, independent-samples Kruskal-Wallis test.

F, faecal; Hb, haemoglobin; NS, not significant at p=0.05; S, serum.

Baseline characteristics of the study participants and anthropometric and biochemical values at the 45-day follow-up. Data are mean/geometric mean±SD or median (25th, 75th percentile). *Mean ±SD. †P values for within-group differences, paired-samples t-test. ‡P values for between-group differences, ANOVA. §Geometric mean ±SD. ¶Median (25th, 75th percentile). **P values for within-group differences, related-samples Wilcoxon signed-rank test. ††P values for between-group difference, independent-samples Kruskal-Wallis test. F, faecal; Hb, haemoglobin; NS, not significant at p=0.05; S, serum. In this study, we confirm findings that consumption of high-iron formula is associated with decreased relative abundance of Bifidobacterium (p<0.001, 60% vs 78%) after only 45 days of intervention, but we did not detect enhanced growth of pathogenic bacteria. However, we were able to partly confirm previous findings regarding abundance of lactobacilli due to iron consumption. We found lower relative abundance of Lactobacillus sp (p<0.007, 8% vs 42%) in infants who received iron drops versus high-iron-formula group. Unexpectedly, we also found higher relative abundance of Lactobacillus sp (p<0.0002, 42% vs 32%) in high-iron compared with low-iron formula group; this result challenges the hypothesis that the mode of iron administration has a direct effect on lactobacilli colonisation in the gut. Furthermore, the iron-drops group had lower abundance of Streptococcus (p<0.0003, 0.2% vs 0.9%) but higher abundance of Clostridium (p<0.05, 25% vs 9%) and Bacteroides (p<0.02, 1.2% vs 0.9%) compared with the high-iron formula group (figure 1). In the present study, all groups received formula with added galacto-oligosaccharides (GOS) at 3.3 g/L. This prebiotic may mitigate adverse effects of iron fortification on gut microbiota,2 but in the iron-drops group, iron was administered apart from the formula meals. Thus, we cannot exclude a possible protective effect of GOS on the gut microbiota of infants in our study.
Figure 1

Differences in gut bacterial composition depend on the concentration and administration mode of the consumed iron. In the cladogram, showing the results of the microbiome analysis over time, taxa are grouped on the basis of synapomorphy. The outermost small, white circles represent the 561 OTUs (operational taxonomic units). Differences in gut microbial composition between the high-Fe-formula group versus the low-Fe-formula group over time are presented in the yellow component around the cladogram, where blue bars represent lower relative abundance of bacteria in the high-Fe-formula group compared with the low-Fe-formula group and the red bars represent higher relative abundance in the high-Fe-formula group compared with the low-Fe-formula group, respectively. Differences in gut microbial composition between the high-Fe-formula group versus the Fe-drops group over time are presented in the red component around the cladogram, where the blue bars represent lower relative abundance of bacteria in the high-Fe-formula group and the red bars represent higher relative abundance in the high-Fe-formula group compared with the Fe-drops group, respectively. OTU, operational taxonomic unit.

Differences in gut bacterial composition depend on the concentration and administration mode of the consumed iron. In the cladogram, showing the results of the microbiome analysis over time, taxa are grouped on the basis of synapomorphy. The outermost small, white circles represent the 561 OTUs (operational taxonomic units). Differences in gut microbial composition between the high-Fe-formula group versus the low-Fe-formula group over time are presented in the yellow component around the cladogram, where blue bars represent lower relative abundance of bacteria in the high-Fe-formula group compared with the low-Fe-formula group and the red bars represent higher relative abundance in the high-Fe-formula group compared with the low-Fe-formula group, respectively. Differences in gut microbial composition between the high-Fe-formula group versus the Fe-drops group over time are presented in the red component around the cladogram, where the blue bars represent lower relative abundance of bacteria in the high-Fe-formula group and the red bars represent higher relative abundance in the high-Fe-formula group compared with the Fe-drops group, respectively. OTU, operational taxonomic unit. As in the study by Paganinni et al,2 faecal calprotectin did not differ between the groups (table 1), but in our study, it correlated positively with Clostridium difficile in high-iron-formula (rSpearman=0.4, p<0.01) and iron-drops intervention groups (rSpearman=0.48, p<0.004). The bacterial function pathway related to Staphylococcus aureus infection (KEGG module 05150)5 was significantly lower in the iron-drops group compared with the low-iron-formula group (p=0.027). This is a novel finding which suggests that changes in bacterial composition due to administration of iron drops may reduce the protective response of the gut microbiota to bacterial infections. Nevertheless, no effects on the health of the participants were seen due to this. To summarise, in healthy, non-anaemic Swedish infants, consumption of high-iron formula is associated with significantly lower abundance of bifidobacteria compared with low-iron formula, and administration of iron as drops, even in a dose comparable with the daily iron requirement and for a short time, leads to decreased relative abundance of lactobacilli and potentially increases susceptibility to bacterial infection.
  6 in total

1.  Prebiotic galacto-oligosaccharides mitigate the adverse effects of iron fortification on the gut microbiome: a randomised controlled study in Kenyan infants.

Authors:  Daniela Paganini; Mary A Uyoga; Guus A M Kortman; Colin I Cercamondi; Diego Moretti; Tanja Barth-Jaeggi; Clarissa Schwab; Jos Boekhorst; Harro M Timmerman; Christophe Lacroix; Simon Karanja; Michael B Zimmermann
Journal:  Gut       Date:  2017-08-03       Impact factor: 23.059

2.  Iron fortification adversely affects the gut microbiome, increases pathogen abundance and induces intestinal inflammation in Kenyan infants.

Authors:  Tanja Jaeggi; Guus A M Kortman; Diego Moretti; Christophe Chassard; Penny Holding; Alexandra Dostal; Jos Boekhorst; Harro M Timmerman; Dorine W Swinkels; Harold Tjalsma; Jane Njenga; Alice Mwangi; Jane Kvalsvig; Christophe Lacroix; Michael B Zimmermann
Journal:  Gut       Date:  2014-08-20       Impact factor: 23.059

3.  Mode of oral iron administration and the amount of iron habitually consumed do not affect iron absorption, systemic iron utilisation or zinc absorption in iron-sufficient infants: a randomised trial.

Authors:  Ewa A Szymlek-Gay; Magnus Domellöf; Olle Hernell; Richard F Hurrell; Torbjörn Lind; Bo Lönnerdal; Christophe Zeder; Ines M Egli
Journal:  Br J Nutr       Date:  2016-08-22       Impact factor: 3.718

4.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.

Authors:  Michael I Love; Wolfgang Huber; Simon Anders
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

5.  Advancing our understanding of the human microbiome using QIIME.

Authors:  José A Navas-Molina; Juan M Peralta-Sánchez; Antonio González; Paul J McMurdie; Yoshiki Vázquez-Baeza; Zhenjiang Xu; Luke K Ursell; Christian Lauber; Hongwei Zhou; Se Jin Song; James Huntley; Gail L Ackermann; Donna Berg-Lyons; Susan Holmes; J Gregory Caporaso; Rob Knight
Journal:  Methods Enzymol       Date:  2013       Impact factor: 1.600

6.  Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences.

Authors:  Morgan G I Langille; Jesse Zaneveld; J Gregory Caporaso; Daniel McDonald; Dan Knights; Joshua A Reyes; Jose C Clemente; Deron E Burkepile; Rebecca L Vega Thurber; Rob Knight; Robert G Beiko; Curtis Huttenhower
Journal:  Nat Biotechnol       Date:  2013-08-25       Impact factor: 54.908

  6 in total
  19 in total

Review 1.  Global look at nutritional and functional iron deficiency in infancy.

Authors:  Michael B Zimmermann
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2020-12-04

Review 2.  Transition metals and host-microbe interactions in the inflamed intestine.

Authors:  Wenhan Zhu; Luisella Spiga; Sebastian Winter
Journal:  Biometals       Date:  2019-02-20       Impact factor: 2.949

Review 3.  Effects of Dietary Nutrients on Fatty Liver Disease Associated With Metabolic Dysfunction (MAFLD): Based on the Intestinal-Hepatic Axis.

Authors:  Nan Yao; Yixue Yang; Xiaotong Li; Yuxiang Wang; Ruirui Guo; Xuhan Wang; Jing Li; Zechun Xie; Bo Li; Weiwei Cui
Journal:  Front Nutr       Date:  2022-06-17

Review 4.  Iron Supplementation at the Crossroads of Nutrition and Gut Microbiota: The State of the Art.

Authors:  Ana M Puga; María de Lourdes Samaniego-Vaesken; Ana Montero-Bravo; Mar Ruperto; Teresa Partearroyo; Gregorio Varela-Moreiras
Journal:  Nutrients       Date:  2022-05-04       Impact factor: 6.706

5.  Intestinal Microbiome in Preterm Infants Influenced by Enteral Iron Dosing.

Authors:  Thao Ho; Anujit Sarkar; Laura Szalacha; Maureen W Groer
Journal:  J Pediatr Gastroenterol Nutr       Date:  2021-05-01       Impact factor: 2.839

6.  Effects of Whole-Grain and Sugar Content in Infant Cereals on Gut Microbiota at Weaning: A Randomized Trial.

Authors:  Julio Plaza-Diaz; Maria Jose Bernal; Sophie Schutte; Empar Chenoll; Salvador Genovés; Francisco M Codoñer; Angel Gil; Luis Manuel Sanchez-Siles
Journal:  Nutrients       Date:  2021-04-28       Impact factor: 5.717

Review 7.  The Importance of Iron Status for Young Children in Low- and Middle-Income Countries: A Narrative Review.

Authors:  Andrew E Armitage; Diego Moretti
Journal:  Pharmaceuticals (Basel)       Date:  2019-04-16

Review 8.  Role of Dietary Nutrients in the Modulation of Gut Microbiota: A Narrative Review.

Authors:  Qi Yang; Qi Liang; Biju Balakrishnan; Damien P Belobrajdic; Qian-Jin Feng; Wei Zhang
Journal:  Nutrients       Date:  2020-01-31       Impact factor: 5.717

Review 9.  Influence of Iron on the Gut Microbiota in Colorectal Cancer.

Authors:  Oliver Phipps; Hafid O Al-Hassi; Mohammed N Quraishi; Aditi Kumar; Matthew J Brookes
Journal:  Nutrients       Date:  2020-08-20       Impact factor: 5.717

Review 10.  Iron Supplementation Influence on the Gut Microbiota and Probiotic Intake Effect in Iron Deficiency-A Literature-Based Review.

Authors:  Ioana Gabriela Rusu; Ramona Suharoschi; Dan Cristian Vodnar; Carmen Rodica Pop; Sonia Ancuța Socaci; Romana Vulturar; Magdalena Istrati; Ioana Moroșan; Anca Corina Fărcaș; Andreea Diana Kerezsi; Carmen Ioana Mureșan; Oana Lelia Pop
Journal:  Nutrients       Date:  2020-07-04       Impact factor: 5.717

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