Obesity-Related Metabolome and Gut Microbiota Profiles of Juvenile Göttingen Minipigs-Long-Term Intake of Fructose and Resistant Starch.
Mihai Victor CurtasuValeria TafintsevaZachary A BendiksMaria L MarcoAchim KohlerYetong XuNatalja P NørskovHelle Nygaard LærkeKnud Erik Bach KnudsenMette Skou HedemannPublished in: Metabolites (2020)
The metabolome and gut microbiota were investigated in a juvenile Göttingen minipig model. This study aimed to explore the metabolic effects of two carbohydrate sources with different degrees of risk in obesity development when associated with a high fat intake. A high-risk (HR) high-fat diet containing 20% fructose was compared to a control lower-risk (LR) high-fat diet where a similar amount of carbohydrate was provided as a mix of digestible and resistant starch from high amylose maize. Both diets were fed ad libitum. Non-targeted metabolomics was used to explore plasma, urine, and feces samples over five months. Plasma and fecal short-chain fatty acids were targeted and quantified. Fecal microbiota was analyzed using genomic sequencing. Data analysis was performed using sparse multi-block partial least squares regression. The LR diet increased concentrations of fecal and plasma total short-chain fatty acids, primarily acetate, and there was a higher relative abundance of microbiota associated with acetate production such as Bacteroidetes and Ruminococcus. A higher proportion of Firmicutes was measured with the HR diet, together with a lower alpha diversity compared to the LR diet. Irrespective of diet, the ad libitum exposure to the high-energy diets was accompanied by well-known biomarkers associated with obesity and diabetes, particularly branched-chain amino acids, keto acids, and other catabolism metabolites.
Keyphrases
- weight loss
- high fat diet
- insulin resistance
- adipose tissue
- fatty acid
- weight gain
- data analysis
- type diabetes
- glycemic control
- metabolic syndrome
- physical activity
- high fat diet induced
- skeletal muscle
- cardiovascular disease
- mass spectrometry
- ms ms
- amino acid
- cancer therapy
- single cell
- copy number
- neural network
- genome wide