Objective:
To elucidate the complex interplay between multi-omics profiles (genomics, proteomics, metabolomics), environmental dynamics, clinical biochemical indicators, imaging data, and bioelectrical impedance analysis in the development and progression of chronic kidney disease (CKD) and its associated comorbidities and complications.
Background:
CKD is a global health challenge, affecting millions and often coexisting with hypertension, diabetes, and cardiovascular disease, leading to complications like anemia and bone mineral disorders. Despite clinical advances, molecular mechanisms remain unclear. Multi-omics approaches can elucidate CKD’s biological pathways. Environmental factors (diet, toxins, socioeconomic status) significantly influence outcomes. Clinical biochemical indicators, imaging data, and bioelectrical impedance analysis offer crucial insights into CKD patients’ physiological states but are underexplored with molecular data.
Scientific Rationale:
This study leverages multi-omics technologies, clinical biochemical indicators, imaging data, bioelectrical impedance analysis, and environmental data to identify key factors in CKD and its comorbidities. By understanding interactions at the systems biology and clinical levels, we aim to identify novel biomarkers for early diagnosis, prognostic indicators, and therapeutic targets. Integrating omics data with environmental and clinical exposures will reveal how lifestyle, clinical parameters, and environmental factors influence disease pathways and patient outcomes.