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1.
Nutrients ; 13(11)2021 Oct 29.
Artigo em Inglês | MEDLINE | ID: mdl-34836148

RESUMO

Dietary fiber (DF) is a major substrate for the gut microbiota that contributes to metabolic health. Recent studies have shown that diet-metabolic phenotype effect might be related to individual gut microbial profiles or enterotypes. Thus, the aim of this study was to examine whether microbial enterotypes modify the association between DF intake and metabolic traits. This cross-sectional study included 204 children (6-12 years old) and 75 adults (18-60 years old). Habitual DF intake was estimated with a Food Frequency Questionnaire and biochemical, clinical and anthropometric data were obtained. Gut microbiota was assessed through 16S sequencing and participants were stratified by enterotypes. Correlations adjusting for age and sex were performed to test the associations between dietary fiber components intake and metabolic traits. In children and adults from the Prevotella enterotype, a nominal negative correlation of hemicellulose intake with insulin and HOMA-IR levels was observed (p < 0.05), while in individuals of the other enterotypes, these associations were not observed. Interestingly, the latter effect was not related to the fecal short-chain-fatty acids profile. Our results contribute to understanding the enterotype influence on the diet-phenotype interaction, which ultimate could provide evidence for their use as potential biomarkers for future precision nutrition strategies.


Assuntos
Fibras na Dieta/análise , Ingestão de Alimentos/fisiologia , Microbioma Gastrointestinal/fisiologia , Resistência à Insulina/fisiologia , Adolescente , Adulto , Biomarcadores/sangue , Criança , Estudos Transversais , Inquéritos sobre Dietas , Ingestão de Alimentos/etnologia , Fezes/microbiologia , Feminino , Microbioma Gastrointestinal/efeitos dos fármacos , Humanos , Resistência à Insulina/etnologia , Masculino , México/etnologia , Pessoa de Meia-Idade , Fenótipo , RNA Ribossômico 16S/análise , Adulto Jovem
2.
Gut Microbes ; 11(4): 900-917, 2020 07 03.
Artigo em Inglês | MEDLINE | ID: mdl-31973685

RESUMO

BACKGROUND: Gut microbiota, by influencing multiple metabolic processes in the host, is an important determinant of human health and disease. However, gut dysbiosis associated with metabolic complications shows inconsistent patterns. This is likely driven by factors shaping gut microbial composition that have largely been under-evaluated, at a population level, in school-age children, especially from developing countries. RESULTS: Through characterization, by 16S sequencing, of the largest gut microbial population-based school-aged children cohort in Latin America (ORSMEC, N = 926, aged 6-12 y), we identified associations of 14 clinical and environmental covariates (PFDR<0.1), collectively explaining 15.7% of the inter-individual gut microbial variation. Extrinsic factors such as markers of socioeconomic status showed a major influence in the most abundant taxa and in the enterotypes' distribution. Age was positively correlated with higher diversity, but only in normal-weight children (rho = 0.138, P =2 × 10-3). In contrast, this correlation although not significant, was negative in overweight and obese children (rho = -0.125, P = 0.104 and rho = -0.058, P = 0.409, respectively). Finally, co-abundance groups (CAGs) were associated with the presence of metabolic complications. CONCLUSIONS: Our study offers evidence that the presence of overweight and obesity could impair the microbial diversity maturation associated with age. Furthermore, it provides novel results toward a better understanding of gut microbiota in the pediatric population that will ultimately help to develop therapeutic approaches to improve metabolic status.


Assuntos
Bactérias/crescimento & desenvolvimento , Microbioma Gastrointestinal , Adiposidade , Adolescente , Bactérias/classificação , Bactérias/genética , Variação Biológica da População , Criança , Estudos Transversais , Dieta , Feminino , Humanos , Estilo de Vida , Masculino , Síndrome Metabólica/microbiologia , Obesidade/microbiologia , Obesidade Infantil/microbiologia , Fatores Socioeconômicos
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