C06-Biomarkers and mechanisms of disease progression and outcome in aortic stenosis in humans

Early recognition and management of aortic stenosis (AS) are substantial to avoid life-threatening events during the clinical course. Complex mechanisms including fibrosis, oxidative stress, inflammation, angiogenesis, osteogenic differentiation and the effect of genetic risk variants have been proposed to be involved mechanistically in the pathogenesis of degenerative AS. In our project, we plan to assess multiple morphological, functional, genetic and immunological parameters and combine these parameters for model development, applying deep learning algorithms, to investigate their capacity to predict disease progression in patients with moderate AS in a longitudinal long-term clinical study.