Skeletal muscles undergo an age-dependent loss of mass and function in a disease known as sarcopenia. Similarly, but usually most faster, most neuromuscular diseases are characterized by progressive muscle weakness. Patients experience limitations in locomotion and eventually lose the possibility of independent life. Muscle magnetic resonance imaging (MRI) is considered a valuable outcome measure in clinical trials that target sarcopenia- and neuromuscular-disease-related decline in muscle function. However, current muscle MRI provides only structural readouts of atrophy and fat-deposition, which represent end-stage disease and thus do not provide the best targets for novel early and preventive therapy. Because of the central role of muscle contractile properties in human physical mobility, we hypothesize that MRI measures of muscle contractility under realistic stress conditions are needed as clinical outcomes and to understand pathophysiology. In this project we will therefore develop the technology for dynamic 3D MRI of motion and contractility of the upper leg muscles during a stress-test in the scanner using an MRI-compatible ergometer. Additionally, we will apply the technology in patients suffering from sarcopenia and neuromuscular diseases—enhancing the clinical utility of the technology.

This feasibility study looks at the requirements for broader implementation of the SNOWDROP intervention. This intervention consists of a prediction model and clinical decision support system implemented within NHGdoc and a patient portal to prepare patients for a consultation about the medication-related fall risk. An additional feasibility study will examine how large-scale implementation of the intervention, first in Amsterdam and then nationally, can be achieved. The feasibility study will result in an implementation plan that can be used as a blueprint for future implementation.

The brain is key for proper blood sugar levels regulation. Unexpectedly, it has been found that the reward area in the brain important for motivational behavior can detect sugar and influence blood sugar levels. This project investigates how and when this brain region regulates this, and how knowledge can be used for better treatment of diabetes.

Overweight and obesity are refractory conditions of human physiology. By using personalized computer models of human metabolism the MATRyOSka project aims to obtain better understanding about the dynamics of the ‘obese system’. The project also investigates whether the effects of changes in nutrition and gut microbiota on metabolic health can be predicted.

Since the soil microbiome will be partially transferred to humans and may have an impact on the nutritional composition of agricultural products, it may also affect human health. This relationship has enormous societal implications because agriculture has a large impact on our environment and food is the number one driver of human health. With this study, we will for the first time establish the connection between the impact of agriculture on the soil and plant quality/microbiome and the consequences for the health of humans. We will also study the social and political context of this connection.