Relationship between Diet Quality and Maternal Stool Microbiota in the MUMS Australian Pregnancy Cohort.
Megan L GowXin-Yi ChuaEmad El-OmarDaniella SusicAmanda HenryPublished in: Nutrients (2023)
Dietary intake during pregnancy may influence the antenatal microbiome, which is proposed to impact maternal and infant health during the pregnancy and beyond. The aim of this sub-study was to examine associations between dietary intake and microbiota diversity during pregnancy using whole metagenomic sequencing and examine associations in low-risk versus high-risk pregnancies, as well as complicated versus uncomplicated pregnancies. Pregnancy data were analysed from women participating in the MUMS cohort study in Sydney, Australia (women followed from trimester 1 of pregnancy to 1-year postpartum), who had dietary intake data at either trimester 1 or 3, assessed using the Australian Eating Survey, and a matched stool sample ( n = 86). Correlations of microbial alpha diversity with dietary intake data were determined using the repeated-measures correlation, rmcorr, in R. In the combined cohort, no associations were found between diet quality or diet composition and microbial alpha diversity or beta diversity. However, trends in our analysis suggested that dietary intake of specific macro- and micronutrients may influence microbial diversity differently, depending on particular pregnancy conditions. Our findings suggest that dietary intake during pregnancy may have a variable influence on the maternal microbiota, unique to the individual maternal pregnancy phenotype. More research is needed to disentangle these associations.
Keyphrases
- pregnancy outcomes
- pregnant women
- preterm birth
- physical activity
- weight loss
- microbial community
- gestational age
- healthcare
- electronic health record
- birth weight
- big data
- public health
- type diabetes
- adipose tissue
- skeletal muscle
- risk assessment
- polycystic ovary syndrome
- health information
- quality improvement
- insulin resistance
- social media
- artificial intelligence