(I) Scientific Problems
Chronic diseases like cardiovascular disease and diabetes are rising, but their complex pathogenesis involves lifestyle, genetic susceptibility, and metabolic disorders. The interaction mechanisms among these factors remain unclear. Lifestyle factors (e.g., diet, exercise, smoking) impact individuals differently, complicating personalized prevention strategies.
(II) Objectives
Investigate the associations and interaction mechanisms between lifestyle, genetic factors, and metabolic disorders in the risk of common chronic diseases (e.g., cardiovascular disease, diabetes, chronic respiratory diseases).
Develop a risk assessment model for chronic diseases based on multi-omics data (e.g., genetic and metabolic data) and lifestyle information to enable early risk prediction.
Provide a scientific basis for personalized prevention and intervention strategies, including tailored lifestyle improvements and treatments.
(III) Scientific Basis
Epidemiological studies show that unhealthy lifestyles (e.g., high-sugar/high-fat diets, inactivity, smoking) are key risk factors for chronic diseases, but their synergistic effects and disease-specific contributions are unclear. Genetic factors significantly influence chronic disease development, with GWAS identifying many associated loci. However, how genetic variations interact with environmental factors to affect disease susceptibility requires further study. Metabolic disorders (e.g., abnormal glucose, lipids, blood pressure) are crucial for chronic disease pathophysiology. Blood biomarkers reflect metabolic states and may indicate early disease stages before clinical symptoms, aiding diagnosis and monitoring. Improved sensitivity and specificity of biomarkers and optimized biomarker combinations or prediction models are needed for better early detection and monitoring.
