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Associations of Blautia Genus With Early-Life Events and Later Phenotype in the NutriHS

Early-life events are associated with the risk of obesity and comorbidities later in life. The gut microbiota-whose composition is influenced by genetics and environmental factors-could be involved. Since the microbiota affects metabolism and fat storage, early-life insults could contribute to the o...

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Published in:Frontiers in cellular and infection microbiology 2022-05, Vol.12, p.838750-838750
Main Authors: Freitas, Renata G Borges de Oliveira Nascimento, Vasques, Ana Carolina J, Fernandes, Gabriel da Rocha, Ribeiro, Francieli B, Solar, Isabela, Barbosa, Marina G, Pititto, Bianca de Almeida, Geloneze, Bruno, Ferreira, Sandra Roberta G
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Language:English
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Summary:Early-life events are associated with the risk of obesity and comorbidities later in life. The gut microbiota-whose composition is influenced by genetics and environmental factors-could be involved. Since the microbiota affects metabolism and fat storage, early-life insults could contribute to the occurrence of obesity driven, in part, by microbiota composition. We examined associations of gut bacteria with early-life events, nutritional status, and body composition in the Nutritionist's Health Study (NutriHS). A cross-sectional study of 114 female participants examining early-life data, body composition, and biological samples was conducted. Fecal microbiota structure was determined targeting the V4 region of the 16S rRNA gene. Principal coordinates analysis (PCoA) and permutational multivariate analysis of variance (PERMANOVA) were used to test the impact of variables on microbial diversity. Profiles were identified using the Jensen-Shannon divergence matrix and Calinski-Harabasz index. Differential abundance between the categories of exclusive breastfeeding duration and nutritional status was tested using DESeq2. In the sample [median age 28 years and body mass index (BMI) 24.5 kg/m ], 2 microbiota profiles driven by the or genus were identified. An estimated 9.1% of the variation was explained by the profiles (p < 0.001), 2.1% by nutritional status (p = 0.004), and 1.8% by exclusive breastfeeding (p = 0.012). The proportion of participants with BMI
ISSN:2235-2988
2235-2988
DOI:10.3389/fcimb.2022.838750