Vascular diseases pose a significant burden on society, mainly due to the lack of effective treatment methods. A major reason for this is the shortcomings of current preclinical model systems. In... Show moreVascular diseases pose a significant burden on society, mainly due to the lack of effective treatment methods. A major reason for this is the shortcomings of current preclinical model systems. In this study, we have taken steps toward developing a more complex and relevant model system for (brain) blood vessels to address this issue. We used human induced pluripotent stem cells (hiPSCs) in the lab as a cellular source to generate the different types of cells needed for stable blood vessels. These cells were then combined in 3D microscopic culture environments (so-called vessel-on-chip systems) to closely mimic physiological conditions. Using this model, we were able to demonstrate specific abnormalities in a hereditary vascular disease, which was not possible with more 'traditional' culture methods. Additionally, we included brain cells to better investigate brain-specific disorders in the future. This work lays the essential foundation for a better understanding and treatment of complex vascular diseases, while potentially reducing the number of animal models needed. Show less
Models of heart disease and drug responses are increasingly based on human pluripotent stem cells (hPSCs) since their ability to capture human heart (dys-)function is often better than animal... Show moreModels of heart disease and drug responses are increasingly based on human pluripotent stem cells (hPSCs) since their ability to capture human heart (dys-)function is often better than animal models. Simple monolayer cultures of hPSC-derived cardiomyocytes, however, have shortcomings. Some of these can be overcome using more complex, multi cell-type models in 3D. Here we review modalities that address this, describe efforts to tailor readouts and sensors for monitoring tissue- and cell physiology (exogenously and in situ) and discuss perspectives for implementation in industry and academia. Show less
