Research Aims and Objectives
Cardiovascular and cerebrovascular diseases-including coronary artery disease, hypertensive heart disease, heart failure, ischemic and hemorrhagic stroke-are the leading causes of mortality and disability worldwide. While traditional risk factors are well established, significant variation exists in disease onset, progression, and treatment response, with underlying molecular mechanisms still poorly understood.
This study aims to deepen understanding of disease path development and heterogeneity using the UK Biobank database. By integrating multi-omics data-genomic, proteomic, and metabolomic profiles-with lifestyle, environmental, and clinical information, we seek to identify key biological markers and pathways involved in disease processes. We will explore the roles of inflammation, metabolic reprogramming, and vascular dysfunction, and develop and validate comprehensive risk prediction models that incorporate genetic, lifestyle, and environmental factors. The ultimate goal is to support early detection, precision prevention, and personalized treatment strategies that can significantly reduce the global burden of these diseases.
Scientific Rationale
The onset and progression of cardiovascular and cerebrovascular diseases involve complex interactions between genetic predisposition and environmental influences. In addition to classical risk factors like hypertension, smoking, obesity, and dyslipidemia, growing evidence points to the impact of metabolic disturbances, chronic inflammation, and unhealthy behaviors such as physical inactivity and poor diet. Conditions like diabetes further increase the risk of cardiovascular events, highlighting the need for integrative approaches that consider both biological and behavioral components.
By combining diverse data types and applying advanced analytical techniques, this research will enhance our understanding of disease mechanisms.