Short-chain fatty acids are associated with adiposity, energy and glucose homeostasis among different metabolic phenotypes in the Nutritionists' Health Study.

BACKGROUND AND AIMS: The gut microbiome is associated with obesity, mainly mediated by bacteria-produced short-chain fatty acids (SCFAs). It is unknown how SCFA concentrations are associated with the phenotypes metabolically healthy normal weight (MHNW), metabolically unhealthy normal weight (MUNW), metabolically healthy obese/overweight (MHO), and metabolically unhealthy obese/overweight (MUO). We compared plasma and fecal SCFA concentrations among adult women categorized according to the metabolic phenotypes mentioned above and examined associations between SCFA and adiposity and components of energy and glucose homeostasis. METHODS: This was a cross-sectional study involving 111 participants. Body composition was assessed by DEXA. Energy and glycemic homeostasis were assessed by the standard mixed-meal tolerance test coupled with indirect calorimetry. SCFAs were quantified by gas chromatography and mass spectrometry. RESULTS: Only plasma propionate was increased in the MHNW phenotype compared to the MHO and MUO phenotypes [p < 0.05]. Fecal propionate and butyrate concentrations and plasma propionate concentrations were inversely associated with total and visceral adiposity [p < 0.05]. Fecal and plasma SCFA concentrations were associated with reduced glucose, insulin and HbA1c levels, increased fasting and postprandial GLP-1 levels; and more preserved beta-cell function [p < 0.05]. Fecal and plasma SCFA concentrations were positively correlated with resting energy expenditure and lipid oxidation rate and inversely correlated with the oxidation rate of carbohydrates [p < 0.05]. CONCLUSION: These findings reinforce the concept that fecal and plasma SCFA concentrations are linked to specific components of energy and glucose homeostasis; and body adiposity. However, it was not possible to discriminate the different metabolic phenotypes of adiposity based on the determination of fecal SCFA concentrations.

Parental body mass index and maternal gestational weight gain associations with offspring body composition in young women from the Nutritionists' Health Study

ABSTRACT Objective: Intrauterine environment can induce fetal metabolic programming that predisposes to adiposity-related chronic diseases in its lifespan. We examined the associations of parental nutritional status and gestational weight gain with offspring body composition in early adulthood. Materials and methods: This is cross-sectional analysis of female participants of the NutriHS who were submitted to questionnaires, clinical examinations and body composition assessed by DXA. Association of pre-conception parental BMI and maternal gestational weight gain (exposures) with body composition measurements (outcomes) were analyzed using multiple linear models adjusted for Directed Acyclic Graphs-based covariables (maternal and paternal educational level, maternal age, and tobacco, alcohol and/or drugs use). The sample included 124 women (median 28 (24-31) years) with a mean BMI of 25.4 ± 4.7 kg/m2. Results: No association between previous paternal BMI and offspring's body composition was detected. In the fully adjusted linear regression model, maternal BMI was associated with offspring's total lean mass (β = 0.66, p = 0.001), appendicular skeletal muscle mass index (ASMI) (β = 0.11, p = 0.003) and fat mass index (FMI) (β = 0.03, p = 0.039). Gestational weight gain was associated with increased offspring's BMI (OR 1.12 [95% CI 1.02-1.20], p = 0.01). The linear regression model adjusted for maternal age and maternal and paternal education levels showed associations of gestational weight gain with offspring's ASMI (β = 0.42, p = 0.046), FMI (β = 0.22, p = 0.005) and android-to-gynoid fat ratio (β = 0.09, p = 0.035). Conclusion: Our findings suggest that preconception maternal BMI could influence lean mass and general adiposity of young adult female offspring and that gestational weight gain could be useful for predicting centrally distributed adiposity.

Parental body mass index and maternal gestational weight gain associations with offspring body composition in young women from the Nutritionists' Health Study.

Objective: Intrauterine environment can induce fetal metabolic programming that predisposes to adiposity-related chronic diseases in its lifespan. We examined the associations of parental nutritional status and gestational weight gain with offspring body composition in early adulthood. Methods: This is cross-sectional analysis of female participants of the NutriHS who were submitted to questionnaires, clinical examinations and body composition assessed by DXA. Association of preconception parental BMI and maternal gestational weight gain (exposures) with body composition measurements (outcomes) were analyzed using multiple linear models adjusted for Directed Acyclic Graphs-based covariables (maternal and paternal educational level, maternal age, and tobacco, alcohol and/or drugs use). The sample included 124 women (median 28 (24-31) years) with a mean BMI of 25.4 ± 4.7 kg/m2. Results: No association between previous paternal BMI and offspring's body composition was detected. In the fully adjusted linear regression model, maternal BMI was associated with offspring's total lean mass (ß = 0.66, p = 0.001), appendicular skeletal muscle mass index (ASMI) (ß = 0.11, p = 0.003) and fat mass index (FMI) (ß = 0.03, p = 0.039). Gestational weight gain was associated with increased offspring's BMI (OR 1.12 [95% CI 1.02-1.20], p = 0.01). The linear regression model adjusted for maternal age and maternal and paternal education levels showed associations of gestational weight gain with offspring's ASMI (ß = 0.42, p = 0.046), FMI (ß = 0.22, p = 0.005) and android-to-gynoid fat ratio (ß = 0.09, p = 0.035). Conclusion: Our findings suggest that preconception maternal BMI could influence lean mass and general adiposity of young adult female offspring and that gestational weight gain could be useful for predicting centrally distributed adiposity.

Maternal and paternal obesity are associated with offspring obestatin levels in the Nutritionists' Health Study.

OBJECTIVES: The aim of this study was to examine whether paternal and maternal body mass indexes (BMIs) were independently associated with obestatin and visfatin levels in adult offspring. METHODS: This cross-sectional analysis included 124 women who participated in the Nutritionists' Health Study (NutriHS) at baseline. Early life events, anthropometry, dual-energy x-ray absorptiometry-determined body composition and blood sample were obtained. Associations of parental BMI with outcomes (obestatin and visfatin) were tested by multiple linear regression, using minimal sufficient adjustments recommended by Directed Acyclic Graph. Participants' mean BMI was 25 ± 5 kg/m2 and 74% were metabolically healthy. Median obestatin and visfatin levels were 56.4 pg/mL (42-72) and 17.7 ng/mL (14-21.8), respectively. Eleven percent of mothers and 39% of fathers were overweight/obese. RESULTS: Daughters born from overweight/obese mothers had higher BMI than those born from normal weight women (P = 0.003). In adjusted regression model, offspring obestatin levels were associated with maternal BMI (ß = -0.03; P = 0.045) and paternal BMI (ß = -0.02; P = 0.048) independently of maternal and paternal education, maternal age, and maternal use of tobacco, alcohol, and/or drugs. No association was detected with visfatin levels. CONCLUSION: Inverse associations of maternal and paternal BMIs with offspring obestatin concentrations in women could suggest a utility of this biomarker of energy regulation determined in early adulthood. Whether obestatin could be an indicator of protection against obesity-related disorders in the life course requires investigation in studies designed to test such hypothesis.