Urological diseases, encompassing malignant tumors such as prostate cancer and benign conditions, significantly impact the health and quality of life for millions worldwide. A growing body of evidence indicates that these are not isolated conditions but are closely intertwined with systemic health issues, including metabolic disorder, cardiovascular diseases, and immune dysfunction. However, the underlying mechanisms of interaction between these complex diseases remain unclear. We are dedicated to the following objectives:1.To identify non-invasive indicators associated with disease risk and progression by integrating lifestyle factors (including anthropometrics, diet, sleep, physical activity, medication use, and sociodemographic factors), routine laboratory tests, medical imaging, and environmental data, and to explore their impact on the risk and prognosis of urological diseases.2.To conduct multi-morbidity studies to identify causal associations between metabolic, cardiovascular, immune, and urological disease. 3.To utilize proteomics data to screen for plasma protein biomarkers that can be used for diagnosis, prognosis, or reflecting disease comorbidity status. 4.To develop machine learning models for predicting the incidence risk of urological diseases. 5.To investigate how the onset of one disease influences the subsequent risk of urological disease. Substantial clinical and basic research evidence reveals that the health of the urological system is deeply connected to the body’s overall metabolic, circulatory, and immune functions, with profound biological cross talk between them. However, validating these cross-system hypotheses requires the unique and irreplaceable strength of the UK Biobank lies. We anticipate completing this study within 36 months of receiving the data and will submit our findings for publication in international peer-reviewed journals.
