Background: Our research addresses the full spectrum of cerebrovascular diseases (CVDs), a leading cause of global death and disability. This project will investigate major subtypes like Ischemic Stroke and Hemorrhagic Stroke , alongside critical vascular pathologies including Cerebral Aneurysms Arterial Stenosis,and Moyamoya Disease. A unified multi-omic approach is needed to systematically map their underlying biology.
Aims & Objectives: This project will conduct a comprehensive multi-omic profiling of the CVD spectrum with three core objectives, directly reflecting our title:
To Elucidate Biological Pathways: We will use whole-genome data to define the genetic architecture of the CVD spectrum and employ Mendelian randomization to establish causal pathways involving factors like sleep and comorbidities, thus revealing novel disease mechanisms.
To Discover Novel Biomarkers: By integrating plasma proteomics, metabolomics, and advanced neuroimaging, we will identify and validate robust molecular and imaging biomarkers for early detection, risk stratification, and differentiation between CVD subtypes.
To Enhance Clinical Prediction: We will develop and validate powerful, integrated risk models that incorporate multi-omic and deep phenotypic data to significantly improve the prediction of future cerebrovascular events over current standards.
Scientific Rationale: By systematically profiling the biology of the CVD spectrum, we will bridge the gap from identifying fundamental pathways and actionable biomarkers to developing clinically relevant prediction tools. This will create a powerful resource and enable a new era of personalized prevention for cerebrovascular diseases.