RESUMO
The lack of a precise noninvasive, clinical evaluation method for cardiac fibrosis hinders the development of successful treatments that can effectively work in physiological settings, where tissues and organs are interconnected and moderating drug responses. To address this challenge and advance personalized medicine, researchers have turned to human-induced pluripotent stem (iPS) cells, which can be differentiated to resemble the human heart in terms of structure, function and cellular composition. In this chapter, we present an assay protocol that uses these iPS cells to generate heart organoids for the in vitro evaluation of cardiac fibrosis. By establishing this biological platform, we pave the way for conducting phenotype evaluation and treatment screening in a multiscale approach, aiming to discover effective interventions for the treatment of cardiac fibrosis.
Assuntos
Diferenciação Celular , Fibrose , Células-Tronco Pluripotentes Induzidas , Organoides , Humanos , Células-Tronco Pluripotentes Induzidas/citologia , Organoides/patologia , Organoides/citologia , Miocárdio/patologia , Miocárdio/citologia , Técnicas de Cultura de Células/métodos , Miócitos Cardíacos/citologia , Miócitos Cardíacos/patologia , Células CultivadasRESUMO
The virtual reality (VR) simulator is a useful tool to develop dental hand skill. However, VR simulations with reactions of patients have limited computational time to reproduce a face model. Our aim was to develop a patient face model that enables real-time collision detection and cutting operation by using stereolithography (STL) and deterministic finite automaton (DFA) data files. We evaluated dependence of computational cost and constructed the patient face model using the optimum condition for combining STL and DFA data files, and assessed the computational costs for operation in do-nothing, collision, cutting, and combination of collision and cutting. The face model was successfully constructed with low computational costs of 11.3, 18.3, 30.3, and 33.5 ms for do-nothing, collision, cutting, and collision and cutting, respectively. The patient face model could be useful for developing dental hand skill with VR.