Association of Vitamin D Level and Maternal Gut Microbiome during Pregnancy: Findings from a Randomized Controlled Trial of Antenatal Vitamin D Supplementation.
Andrea AparicioDiane R GoldScott T WeissAugusto A LitonjuaKathleen A Lee-SarwarYang-Yu LiuPublished in: Nutrients (2023)
Shifts in the maternal gut microbiome and vitamin D deficiency during pregnancy have been associated, separately, with health problems for both the mother and the child. Yet, they have rarely been studied simultaneously. Here, we analyzed the gut microbiome (from stool samples obtained in late pregnancy) and vitamin D level (from blood samples obtained both in early and late pregnancy) data of pregnant women in the Vitamin D Antenatal Asthma Reduction Trial (VDAART), a randomized controlled trial of vitamin D supplementation during pregnancy, to investigate the association of vitamin D status on the pregnant women's microbiome. To find associations, we ran linear regressions on alpha diversity measures, PERMANOVA tests on beta diversity distances, and used the ANCOM-BC and Maaslin2 algorithms to find differentially abundant taxa. Analyses were deemed significant using a cut-off p -value of 0.05. We found that gut microbiome composition is associated with the vitamin D level in early pregnancy (baseline), the maternal gut microbiome does not show a shift in response to vitamin D supplementation during pregnancy, and that the genus Desulfovibrio is enriched in women without a substantial increase in vitamin D level between the first and the third trimesters of pregnancy. We conclude that increasing the vitamin D level during pregnancy could be protective against the growth of sulfate-reducing bacteria such as Desulfovibrio , which has been associated with chronic intestinal inflammatory disorders. More in-depth investigations are needed to confirm this hypothesis.
Keyphrases
- pregnant women
- pregnancy outcomes
- preterm birth
- mental health
- public health
- machine learning
- clinical trial
- birth weight
- oxidative stress
- physical activity
- randomized controlled trial
- study protocol
- type diabetes
- deep learning
- polycystic ovary syndrome
- cystic fibrosis
- big data
- lung function
- open label
- drug induced
- allergic rhinitis
- weight gain