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1.
Nutrients ; 13(9)2021 Sep 21.
Artigo em Inglês | MEDLINE | ID: mdl-34579166

RESUMO

It is currently unknown whether associations between gut microbiota composition and type 2 diabetes (T2D) differ according to the ethnic background of individuals. Thus, we studied these associations in participants from two ethnicities characterized by a high T2D prevalence and living in the same geographical area, using the Healthy Life In Urban Settings (HELIUS) study. We included 111 and 128 T2D participants on metformin (Met-T2D), 78 and 49 treatment-naïve T2D (TN-T2D) participants, as well as a 1:1 matched group of healthy controls from, respectively, African Surinamese and South-Asian Surinamese descent. Fecal microbiome profiles were obtained through 16S rRNA gene sequencing. Univariate and machine learning analyses were used to explore the associations between T2D and the composition and function of the gut microbiome in both ethnicities, comparing Met-T2D and TN-T2D participants to their respective healthy control. We found a lower α-diversity for South-Asian Surinamese TN-T2D participants but no significant associations between TN-T2D status and the abundance of bacterial taxa or functional pathways. In African Surinamese participants, we did not find any association between TN-T2D status and the gut microbiome. With respect to Met-T2D participants, we identified several bacterial taxa and functional pathways with a significantly altered abundance in both ethnicities. More alterations were observed in South-Asian Surinamese. Some altered taxa and pathways observed in both ethnicities were previously related to metformin use. This included a strong negative association between the abundance of Romboutsia and Met-T2D status. Other bacterial taxa were consistent with previous observations in T2D, including reduced butyrate producers such as Anaerostipes hadrus. Hence, our results highlighted both shared and unique gut microbial biomarkers of Met-T2D in individuals from different ethnicities but living in the same geographical area. Future research using higher-resolution shotgun sequencing is needed to clarify the role of ethnicity in the association between T2D and gut microbiota composition.


Assuntos
Povo Asiático/estatística & dados numéricos , População Negra/estatística & dados numéricos , Diabetes Mellitus Tipo 2/etnologia , Microbioma Gastrointestinal , Estudos de Casos e Controles , Diabetes Mellitus Tipo 2/etiologia , Diabetes Mellitus Tipo 2/microbiologia , Feminino , Microbioma Gastrointestinal/genética , Humanos , Masculino , Pessoa de Meia-Idade , RNA Ribossômico 16S/genética , Suriname
2.
Nutrients ; 13(2)2021 Feb 20.
Artigo em Inglês | MEDLINE | ID: mdl-33672720

RESUMO

The present study aims to describe ultra-processed food (UPF) consumption in a representative sample of French adults and to evaluate the association between UPF consumption and socioeconomic characteristics and nutritional profile of the diet. This is a cross-sectional study using food consumption data from the Étude Nationale Nutrition Santé (ENNS), conducted with 2642 participants (18-74 years old), between February 2006 and March 2007 in France. Dietary data were collected through three 24-h dietary recalls. All food and beverages were classified according to the NOVA classification. The energy contribution of NOVA food groups to total energy intake was presented by categories of sociodemographic characteristics. Linear and logistic regression models were used to estimate the association between the percentage of UPF in the diet with nutritional indicators. The mean daily energy consumption of the adult French population was 2111 kcal, of which 31.1% came from UPF. This percentage was higher among younger individuals, and in the urban area, and lower among individuals with incomplete high school and individuals who were retired. The consumption of UPF was positively associated with the dietary energy density and the dietary contents of total carbohydrates, free sugar, and total and saturated fat, as well as with inadequate dietary energy density, saturated fat, free sugar, and fiber intakes.


Assuntos
Dieta/estatística & dados numéricos , Fast Foods/estatística & dados numéricos , Manipulação de Alimentos , Fatores Socioeconômicos , Adolescente , Adulto , Fatores Etários , Idoso , Estudos Transversais , Inquéritos sobre Dietas , Escolaridade , Emprego , Ingestão de Energia , Feminino , França , Humanos , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Valor Nutritivo , População Urbana/estatística & dados numéricos , Adulto Jovem
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