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Published on: December 31, 2017
Prenatal household size and composition are associated with infant fecal bacterial diversity in Cebu, Philippines
Melissa B Manus1, Elijah Watson1, Sahana Kuthyar1,2
1Department of Anthropology, Northwestern University, Evanston, Illinois, USA.
Insights
Infant gut microbiome diversity is influenced by household size. Prenatal household size accurately predicted infant gut bacteria, with associations changing as infants aged. This highlights the importance of the early environment on infant gut health.
Area of Science:
- Microbiome research
- Infant health
- Environmental microbiology
Background:
- The gut microbiome (GM) is crucial for infant immune development.
- Understanding how infants acquire microbes from their environment is key.
- The GM connects physical and social environments to infant health outcomes.
Purpose of the Study:
- To investigate the relationship between prenatal household composition and infant gut microbiome (GM) bacterial diversity and abundance.
- To determine if these relationships vary by infant age and household member characteristics.
Main Methods:
- Fecal samples from infants (2 weeks and 6 months) in the Cebu Longitudinal Health and Nutrition Survey (CLHNS) were analyzed using 16S rRNA gene sequencing.
- Maternal interviews provided data on prenatal household composition.
Main Results:
- Prenatal household size was the most precise predictor of infant GM bacterial diversity.
- The association between household size and GM diversity shifted between 2 weeks and 6 months postpartum.
- Bacterial family abundances in the infant GM varied based on prenatal household characteristics.
Conclusions:
- Household sources significantly contribute to infant GM bacterial diversity.
- Prenatal household size is a valuable metric for estimating infant GM bacterial diversity in this cohort.
- Future studies should explore specific household exposures and social interactions impacting the infant GM.
Objectives:
The gut microbiome (GM) connects physical and social environments to infant health. Since the infant GM affects immune system development, there is interest in understanding how infants acquire microbes from mothers and other household members.
Materials And Methods:
As a part of the Cebu Longitudinal Health and Nutrition Survey (CLHNS), we paired fecal samples (proxy for the GM) collected from infants living in Metro Cebu, Philippines at 2 weeks (N = 39) and 6 months (N = 36) with maternal interviews about prenatal household composition. We hypothesized that relationships between prenatal household size and composition and infant GM bacterial diversity (as measured in fecal samples) would vary by infant age, as well as by household member age and sex. We also hypothesized that infant GM bacterial abundances would differ by prenatal household size and composition.
Results:
Data from 16 S rRNA bacterial gene sequencing show that prenatal household size was the most precise estimator of infant GM bacterial diversity, and that the direction of the association between this variable and infant GM bacterial diversity changed between the two time points. The abundances of bacterial families in the infant GM varied by prenatal household variables.
Conclusions:
Results highlight the contributions of various household sources to the bacterial diversity of the infant GM, and suggest that prenatal household size is a useful measure for estimating infant GM bacterial diversity in this cohort. Future research should measure the effect of specific sources of household bacterial exposures, including social interactions with caregivers, on the infant GM.
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