(620d) A Mathematical Model to Study the Effects of Gut Microbes on the Human Host’s Energy Balance
AIChE Annual Meeting
2020
2020 Virtual AIChE Annual Meeting
Computing and Systems Technology Division
Applied Math for Biological and Biomedical Systems I
Wednesday, November 18, 2020 - 8:45am to 9:00am
Here, we developed a mathematical model describing energy flow within the human body in three parts: 1. the upper gastrointestinal (GI) tract tracks energy absorbed via physiological processes; 2. the colon that hosts microbes and absorbs microbe-derived short-chain fatty acids (SCFAs); 3. the hostâs energy reservoirs that store carbohydrates, proteins, fats, and SCFAs absorbed by the GI tract and oxidize them to satisfy the bodyâs energy-expenditure demands. We evaluated our model and previous models without microbial metabolism by examining the clinical data from Reinhardt et al. (2015) for obese participants on a calorically restrictive diet.
Our model showed increased accuracy when predicting body weight changes while dieting compared with metabolic models that did not include the gut microbiome reactions. Depending on the diet, the SCFAs from microbial production changed the amount of available energy from the ingested food by up to 11%. Diets with higher fiber and protein increased the fraction of available energy from food that the gut microbiome contributed. When in negative energy balance, participants had increased SCFA uptake from microbial processes resulting in an increase in total energy expenditure. Our mathematical modeling framework provides a way to describe how microorganisms mediates the effects of diet on the hostâs weight changes and energy expenditures. This could be used for the development of individual-specific probiotics/prebiotics, potentially helping with certain health issues associated with unhealthy gut microbiomes.