Most recent update: Monday, December 10, 2018 - 08:44

Bariatric News - Cookies & privacy policy

You are here

Metabolic syndrome in mice

Computational tool predicts progression of MetS in mice

A previously developed simulation method was applied to the model, allowing for accurate prediction of gradual, long-term development of the disease

Scientists have developed a computational model that accurately predicts the gradual, long-term progression of metabolic syndrome in mice. The model, created by Dr Yvonne Rozendaal of Eindhoven University of Technology in the Netherlands and colleagues, describes glucose, lipid, and cholesterol metabolism—central factors in metabolic syndrome.

A previously developed simulation method was applied to the model, allowing for accurate prediction of gradual, long-term development of the disease. The scientists then ran the model using data from real-world experiments in which mice were fed diets that resulted in development of metabolic syndrome.

The study, ‘In vivo and in silico dynamics of the development of Metabolic Syndrome’, published in PLoS Compututational Biology, found that the modelling approach correctly predicted progression of metabolic syndrome in the mice, as well as development of comorbidities, such as fatty liver disease. The model also uncovered the unexpected existence of two disease subtypes in the mice: those with elevated lipid levels and those without. It correctly predicted underlying metabolic differences that could explain the two subtypes, which were confirmed with experimental data.

This model is graphically depicted in the block diagram that is displayed on top of the mouse. The arrows indicate transfer and exchange of different metabolites (denoted by the abbreviations in the boxes) between different tissues. Note that this model is also valid for the human metabolic system as well (Credit: Rozendaal et al).

Metabolic syndrome is a collection of several factors: obesity, insulin resistance, elevated lipid levels in the blood, and high blood pressure. A person with metabolic syndrome faces increased risk of cardiovascular disease, type 2 diabetes, and non-alcoholic fatty liver disease. Computational modelling of metabolic syndrome can provide new insights into its development, but previous modelling efforts have not fully captured the gradual progression and complexity of the disease.

The study uses a genetically modified animal model of which its metabolic system resembles that of the human. They have created a computational model that describes the major pathways in carbohydrate, fat and cholesterol metabolism.

"Our model is an important step in understanding the development of metabolic syndrome, offering new opportunities to identify strategies to prevent the disease and its comorbidities," said Rozendaal. "Our framework can also be applied to study long-term development of other complex, progressive diseases."

To access this paper, please click here

Want more stories like this? Subscribe to Bariatric News!

Bariatric News
Keep up to date! Get the latest news in your inbox. NOTE: Bariatric News WILL NOT pass on your details to 3rd parties. However, you may receive ‘marketing emails’ sent by us on behalf of 3rd parties.