SummaryHypertension stands out as the primary risk factor for cerebrovascular disease. Despite the availability of various antihypertensive medications, many individuals with hypertension do not achieve target blood pressure levels, underscoring the need for novel strategies to combat cerebrovascular disease. This proposal underscores the role of aging in the development of arterial stiffness, which is closely linked to hypertension and cerebrovascular disease. Arterial aging, characterized by changes in the arterial wall, may lead to increased blood pressure and contribute to the development of cerebrovascular disease. The two key goals of the research project are (1) to dissect the complex relationships between arterial stiffening, blood pressure, and the risk of cerebrovascular and more broadly cardiovascular disease; (2) to develop AI-based imaging biomarkers for assessing arterial aging, allowing for more precise monitoring and early detection. The study design involves leveraging large-scale population-based data from NAKO to develop biomarkers of arterial aging and assess their effects on cerebrovascular pathologies. The development of AI-based imaging biomarkers will be based on deep learning models using data from MRI and pulse wave analysis studies. In summary, this application addresses the pressing need to develop novel biomarkers of arterial aging and explore their effects on cerebrovascular disease.

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InstitutionsLMU Klinikum, University Hospital, LMU Munich, Institute for Stroke and Dementia Research (ISD)