DescriptionWe use bariatric surgery as clinical ‘model’ to study metabolic derailments underlying Metabolic Syndrome. Data-driven physiological modelling is applied to study the role of bile acids and metabolic health.
Using population data, a generic model of intestinal anatomy and bile acids metabolism has been developed. The model includes multiple time scales. It describes 24 hour dynamics associated with responses to meals. Slower dynamics mainly originate from processes in the colon and include transformation of bile acids by gut microbiota.
The model is analysed for robustness and identifiability given measurements of plasma bile acids obtained with time-series metabolomics. We create a library of ‘virtual patients’ by calibrating the model to data from individuals who repeatedly received the same meal.
Two applications will be discussed. First, the set of models is applied to study bile acid homeostasis in patients with Type 2 Diabetes. Models for 15 patients are compared against an equal number of healthy controls, identifying differences in underlying metabolic regulation. Second, the model is adopted to simulate both the acute effects of bariatric surgery (within weeks after surgery) and slower physiological and metabolic adaptations that emerge in months and years after surgery.
|Period||2 Mar 2018|
|Event title||8th Advanced Lecture Course on Systems Biology|
|Degree of Recognition||International|