Effect of Gut Microbial Enterotypes on the Association between Habitual Dietary Fiber Intake and Insulin Resistance Markers in Mexican Children and Adults.
Jennifer N Martinez-MedinaRegina Flores-LopezBlanca E Lopez-ContrerasHugo Villamil-RamirezDaniela Guzman-MuñozLuis R Macias-KaufferPaola León-MimilaOmar Granados-PortilloBlanca E Del Rio-NavarroFrancisco J Gómez-PerezCarlos A Aguilar-SalinasNimbe TorresArmando R TovarSamuel Canizales-QuinterosSofia Moran-RamosPublished in: Nutrients (2021)
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.
Keyphrases
- microbial community
- young adults
- physical activity
- weight gain
- insulin resistance
- type diabetes
- healthcare
- fatty acid
- weight loss
- mental health
- metabolic syndrome
- adipose tissue
- body mass index
- gene expression
- machine learning
- cross sectional
- dna methylation
- high fat diet
- amino acid
- current status
- social media
- artificial intelligence
- high fat diet induced
- data analysis