Gut bacterial markers involved in association of dietary inflammatory index with visceral adiposity.

OBJECTIVE: To deepen the understanding of the influence of diet on weight gain and metabolic disturbances, we examined associations between diet-related inflammation and body composition and fecal bacteria abundances in participants of the Nutritionists' Health Study. METHODS: Early-life, dietary and clinical data were obtained from 114 women aged ≤45 years. A validated food frequency questionnaire was used to calculate the energy-adjusted dietary inflammatory index (E-DII). Participants' data were compared by E-DII quartiles using ANOVA or Kruskal-Wallis. Associations of DXA-determined body composition with the E-DII were tested by multiple linear regression using DAG-oriented adjustments. Fecal microbiota was analyzed targeting the V4 region of the 16S rRNA gene. Spearman correlation coefficients were used to test linear associations; differential abundance of genera across the E-DII quartiles was assessed by pair-wise comparisons. RESULTS: E-DII score was associated with total fat (b=1.80, p<0.001), FMI (b=0.08, p<0.001) and visceral fat (b=1.19, p=0.02), independently of maternal BMI, birth type and breastfeeding. E-DII score was directly correlated to HOMA-IR (r=0.30; p=0.004), C-reactive protein (r=0.29; p=0.003) and to the abundance of Actinomyces, and inversely correlated to the abundance of Eubacterium.xylanophilum.group. Actinomyces were significantly more abundant in the highest (most proinflammatory) E-DII quartile. CONCLUSIONS: Association of E-DII with markers of insulin resistance, inflammation, body adiposity and certain gut bacteria are consistent with beneficial effects of anti-inflammatory diet on body composition and metabolic profile. Bacterial markers, such as Actinomyces, could be involved in the association between the dietary inflammation with visceral adiposity. Studies designed to explore how a pro-inflammatory diet affects both central fat deposition and gut microbiota are needed.

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

Introduction: 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). Methods: 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. Results: In the sample [median age 28 years and body mass index (BMI) 24.5 kg/m2], 2 microbiota profiles driven by the Blautia or Prevotella 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 <25 kg/m2 and who were breastfed for at least 6 months was higher in the Blautia profile (p < 0.05). Conclusion: Findings in a Blautia-driven profile of healthy women reinforce that early-life events play a role in defining gut microbiota composition, confirming the importance of exclusive breastfeeding for infant gut colonization in establishing a protective profile against adiposity-related outcomes in adulthood.