Abstract:Diabetic kidney disease (DKD) is a common complication of diabetes mellitus and one of the main causes of end-stage renal disease. Recent studies have shown that DKD has replaced primary glomerular disease as the leading cause of chronic kidney disease in China, and it is an increasingly serious global health problem. Understanding the development and progression of DKD is challenging due to the complexity and heterogeneity of kidney structure and function in healthy and pathological states. In recent years, omics technology has been more and more widely used in the study of DKD due to its advantages of high efficiency, speed and accuracy, and has made progress in the discovery of biomarkers, exploration of pathogenesis and early diagnosis of DKD. This article reviews the application of different omics techniques and multi-omics joint analysis in the development and progression of DKD, aiming to offer new insights for the early diagnosis and treatment guidance of DKD.