This project will investigate the interrelationship between chronic kidney disease (CKD), cardiovascular disorders, and systemic conditions common in internal medicine, including metabolic and inflammatory diseases. These disorders frequently coexist, interact, and contribute to adverse outcomes such as heart failure, arrhythmias, and premature mortality. However, the mechanisms by which renal dysfunction influences cardiovascular remodeling, systemic risk factors, and disease progression remain incompletely understood. The aim of this research is to provide an integrative assessment of cardiorenal and systemic interactions using the unique breadth of the UK Biobank. We will examine how renal impairment, structural and functional cardiac changes, vascular biology, inflammation, and metabolic dysregulation interact to influence long-term outcomes. Multimodal data-including imaging, laboratory tests, genetics, proteomics, and lifestyle factors-will be analyzed to generate a comprehensive understanding of disease pathways. Specifically, we seek to characterize the relationships between kidney function, cardiac remodeling, vascular health, and systemic metabolic or inflammatory markers, and to identify early biomarkers and thresholds of progression across organ systems. In parallel, we will apply machine learning and advanced statistical approaches to integrate diverse data types for improved risk prediction and stratification. Through this work, we aim to generate insights that inform prevention and therapeutic strategies across nephrology, cardiology, and internal medicine. The scientific rationale rests on the observation that CKD, cardiovascular disease, and metabolic disorders share overlapping risk factors and pathophysiological pathways, yet remain insufficiently studied in an integrated manner.
