Feed-forward neural network model for hunger and satiety related VAS score prediction.

BACKGROUND: An artificial neural network approach was chosen to model the outcome of the complex signaling pathways in the gastro-intestinal tract and other peripheral organs that eventually produce the satiety feeling in the brain upon feeding. METHODS: A multilayer feed-forward neural network was trained with sets of experimental data relating concentration-time courses of plasma satiety hormones to Visual Analog Scales (VAS) scores. The network successfully predicted VAS responses from sets of satiety hormone data obtained in experiments using different food compositions. RESULTS: The correlation coefficients for the predicted VAS responses for test sets having i) a full set of three satiety hormones, ii) a set of only two satiety hormones, and iii) a set of only one satiety hormone were 0.96, 0.96, and 0.89, respectively. The predicted VAS responses discriminated the satiety effects of high satiating food types from less satiating food types both in orally fed and ileal infused forms. CONCLUSIONS: From this application of artificial neural networks, one may conclude that neural network models are very suitable to describe situations where behavior is complex and incompletely understood. However, training data sets that fit the experimental conditions need to be available.

Similar metabolic responses in pigs and humans to breads with different contents and compositions of dietary fibers: a metabolomics study.

BACKGROUND: In nutritional studies, pigs are often used as models for humans because of nutritional and physiologic similarities. However, evidence supporting similar metabolic responses to nutritional interventions is lacking. OBJECTIVE: The objective was to establish whether pigs and humans respond similarly to a nutritional intervention. Using metabolomics, we compared the acute metabolic response to 4 test breads between conventional pigs (growing) and adult human subjects (with the metabolic syndrome). DESIGN: Six catheterized pigs and 15 human subjects were tested in a randomized crossover design with 4 breads: white-wheat bread low in dietary fiber, rye bread with whole-rye kernels, and 2 white-wheat breads supplemented with either wheat arabinoxylan or oat ß-glucan. Blood samples drawn -15, 30, and 120 min postprandially were analyzed by untargeted liquid chromatography-mass spectrometry metabolomics. RESULTS: We found that the postprandial responses, as reflected in blood metabolomes, are similar in pigs and humans. Twenty-one of 26 identified metabolites that were found to be different between the species were qualitatively similar in response to the test breads, despite different basal metabolome concentrations in the plasma of pigs and humans. Humans had higher contents of phosphatidylcholines, oleic acid, and carnitine in plasma, possibly reflecting a higher intake of meats and fats. In pigs, betaine, choline, creatinine, tryptophan, and phenylalanine were higher, probably because of the higher doses of bread provided to the pigs (per kg body weight) and/or because of their growing status. Acute metabolic differences in these metabolites induced by the breads were, however, comparable between the 2 species. CONCLUSION: Our results indicate that pigs are a suitable model for human metabolic studies in food research. The human trial was registered at clinicaltrials.gov as NCT01316354. The animal experiment was conducted according to a license obtained by the Danish Animal Experiments Inspectorate, Ministry of Food, Agriculture and Fisheries, Danish Veterinary and Food Administration.

Differential effects of protein quality on postprandial lipemia in response to a fat-rich meal in type 2 diabetes: comparison of whey, casein, gluten, and cod protein.

BACKGROUND: Enhanced and prolonged postprandial triglyceride responses involve increased cardiovascular disease risk in type 2 diabetes. Dietary fat and carbohydrates profoundly influence postprandial hypertriglyceridemia, whereas little information exists on the effect of proteins. OBJECTIVE: The objective was to compare the effects of the proteins casein, whey, cod, and gluten on postprandial lipid and incretin responses to a high-fat meal in persons with type 2 diabetes. DESIGN: A crossover study was conducted in 12 patients with type 2 diabetes. Blood samples were collected over 8 h after ingestion of a test meal containing 100 g butter and 45 g carbohydrate in combination with 45 g casein (Cas-meal), whey (Whe-meal), cod (Cod-meal), or gluten (Glu-meal). We measured plasma concentrations of triglycerides, retinyl palmitate (RP), free fatty acids, insulin, glucose, glucagon, glucagon-like peptide 1, and glucose-dependent insulinotropic peptide. RESULTS: The incremental area under the curve for triglyceride was significantly lower after the Whe-meal than after the other meals. The RP response was lower after the Whe-meal than after the Cas-meal and Cod-meal in the chylomicron-rich fraction and higher after the Whe-meal than after Cod- and Glu-meals in the chylomicron-poor fraction. Free fatty acids were most pronouncedly suppressed after the Whe-meal. The glucose response was lower after the Whe-meal than after the other meals, whereas no significant differences were found in insulin, glucagon, glucagon-like peptide 1, and glucose-dependent insulinotropic peptide responses. CONCLUSION: The data suggest that as a supplement to a fat-rich meal in patients with type 2 diabetes, whey protein seems to outperform other proteins in terms of postprandial lipemia improvement, possibly because of the formation of fewer chylomicrons or increased clearance of chylomicrons. The trial was registered at ClinicalTrials.gov as NCT00817973.