Research Questions
Q1: How do different lifestyle factors interact with metabolic factors to influence the risk of developing cancer and CVDs?
Q2: What are the distinct microbiome, genome, metabolome, and proteome signatures associated with an increased risk of cancer and CVDs?
Q3: How do the combined effects of lifestyle, metabolic factors, and multi – omics signatures contribute to the incidence and progression of different types of cancer and CVDs?
Q4: Can the integration of multi – omics data with lifestyle and clinical information improve the prediction of disease recurrence and survival in cancer and CVD patients?
Research Objectives
O1: Characterize the relationship between various lifestyle factors and metabolic parameters in the UK Biobank cohort.
O2: Identify unique microbiome, genome, metabolome, and proteome profiles associated with cancer and CVDs.
O3: Quantify the combined contribution of lifestyle, metabolic factors, and multi – omics signatures to the incidence and progression of cancer and CVDs.
O4: Evaluate the performance of integrated models that incorporate multi – omics data, lifestyle, and clinical information in predicting disease recurrence and survival.
Scientific Rationale for the Research
Understanding the underlying mechanisms of these diseases is crucial for the development of effective preventive and therapeutic strategies. Lifestyle factors, such as diet, physical activity, and smoking, along with metabolic factors, have long been recognized as important determinants of disease risk. In recent years, the advent of high – throughput omics technologies, including microbiomics, genomics, metabolomics, and proteomics, has provided new opportunities to explore the complex molecular signatures associated with these diseases at a systems – level.
