Weighted gene coexpression network analysis (WGCNA) was used to construct a free-scale gene coexpression network and is widely used to analyze large-scale data sets and identify highly associated gene modules. 3, 4 Due the complexity of metabolic disorders, once diabetes has developed into end-stage renal disease, it is often more difficult to treat than other kidney diseases thus, timely prevention and treatment is of great significance to delay diabetic nephropathy.
1, 2 It has been reported that 30–40% of diabetes cases develop into diabetic nephropathy worldwide. 1 The major pathological features of DN include glomerular vascular injury, glomerular sclerosis, the formation of nodular lesions and the deterioration of renal function, which ultimately leads to end-stage renal disease. Diabetic nephropathy (DN) is a common microvascular complication that is both the most serious complication of diabetes (DM) and the most common cause of end-stage renal disease.
