Last updated:
ID:
545415
Start date:
27 May 2025
Project status:
Current
Principal investigator:
Dr Hao Cui
Lead institution:
Beijing Anzhen Hospital, Capital Medical University, China

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, which is a serious concern especially in aging society because age is one of the most important risk factors for CVDs. CVD burden is determined by diverse conditions, ranging from hypertension and ischemic heart disease to persisting infection-related diseases that affect the economy and health systems. The etiology of CVDs is multifactorial, with among lifestyle factors, treatment strategies, genetic characteristics playing critical roles. Previous studies have shown that lifestyle behaviors and environmental factors, including physical activity, diet, BMI, and environmental pollution are associated with CVD and long-term diseases.Besides, specific genetic mutations are responsible for CVDs.

Although several mechanisms have been proposed, the molecular dysregulations linking lifestyle factors or genetic characteristics and CVDs are still unclear. Plasma metabolome and proteome provide a comprehensive set of circulating metabolites and proteins. Besides, Radiomics can also provide clinical or preclinical biomarkers from medical images. Whether these factors are associated with CVDs and to what extent they mediate lifestyle behaviors or genetic characteristics and CVDs remain unclear.

It is important to clarify the impact of these elements on the pathogenesis, treatment and prognosis for the effectively prevention of CVDs and other long-term diseases. The main purpose of this study is to determine specific factors in terms of lifestyle, environmental risk, treatment strategies and genetic characteristics elevate the risk of CVDs, based on multi-omics data. We will first explore the impact of lifestyle, environmental factors, genetic characteristics and treatment strategies on the incidence and mortality of CVDs and long-term diseases. On this basis, we will further study the characteristics of metabolomics, proteomics and radiomics, and their association with the development of diseases.