Approved Research

The combined effects of lifestyle, diet, environmental exposure, and metabolic biomarkers on the occurrence and prognosis of CVD

Lay summary

CVD (cardiovascular disease) remains the leading cause of morbidity and mortality worldwide, and appropriate risk stratification and intervention for high-risk populations can help reduce the incidence of cardiovascular events and the resulting disease burden. Age, poor lifestyle such as smoking, and metabolic abnormalities such as high blood pressure are common risk factors for CVD. However, the effect on the disease usually results from a combination of long-term, multiple factors. Therefore, based on the large longitudinal cohort of the UK Biobank, we intend to analyze the association between lifestyle, diet, environmental exposure, metabolic biomarkers, etc., and the occurrence and prognosis of CVD, and further explore the interaction of lifestyle, diet, and environmental exposure in the occurrence and development of CVD, as well as the possible mediating role of metabolic biomarkers. In recent years, a new method, Mendelian randomization (MR), has been proposed for the demonstration of causal association. Mendel's law of separation and independent classification can eliminate the bias caused by confounding and reverse causation compared to traditional observational epidemiological studies. Therefore, we will use the study method of network MR to further verify the causal association and interaction pathway between different exposures and the occurrence and development of CVD. Our results may provide a basis for the prevention and control of CVD and the formulation of public health policies. The anticipated project should take approximately three years after obtaining access to the data.