Abstract:Diabetic kidney disease（DKD）is one of the most severe microvascular complications of diabetes mellitus and also a major cause of end- stage renal disease. Early diagnosis and intervention are crucial for delaying disease progression，whereas traditional biomarkers have certain limitations. In recent years，with the development of omics technologies and bioinformatics，a variety of novel biomarkers have shown potential value in the disease management of DKD. This paper reviews the limitations of traditional biomarkers as well as the application progress of novel biomarkers in the diagnosis，disease progression monitoring，treatment response evaluation and prognosis prediction of DKD.