糖尿病肾病（DN）已成为终末期肾病和糖尿病患者死亡的主要原因。DN发生机制复杂，肾脏纤维化是其发生发展的最终共同途径，而血管内皮细胞（EC）损伤是启动和促进因素，过程涉及复杂的生物网络信号。中药肾康丸是治疗DN的临床验方，前期研究表明具有保护DN肾脏，延缓DN进程的作用，但单靶点的研究模式难以全面阐明其作用机制。本研究从整体出发，基于网络药理学研究思路，采用iTRAQ技术建立DN进程EC损伤纤维化分子网络；采用UPLC-MS技术结合模拟分子对接方法确定药物有效成分；应用Bioconductor/Cytoscape整合药靶生物网络，运用网络计算筛选活性成分，进行组方优化；再在DN模型上进行表型和靶点验证。以期借助高通量筛选、计算机分子模拟及生物信息技术整合等现代研究手段，从“生物分子网络”这一整体来探寻DN发生的内在机理与肾康丸的药效物质，为中药复方作用机制的阐明和优化提供新的研究策略。

Diabetic nephropathy （DN）could result in end-stage renal disease and significant mortality in patients with diabetes. Although the mechanism of DN is complex, renal fibrosis play a most critical role during this progress. The progression of fibrosis can be activatied and amplified by endothelial cell (EC) injury and fibrosis which involves series of genes and signal pathways. As an effective traditional Chinese Medicine prescription, Shenkang Wan has been was patented and approved to clinical therapies. Previous study found that Shenkang Wan can protect kidney by blocking fibrosis during DN progression. However, it is difficult to explore the network of mechanism through traditional drug-target methods. In this study, we based on the principle of “multi-components” corresponding to “multi-targets”, which originated in network pharmacology. Firstly, we would set up a network-database of EC fibrosis by iTRAQ methods. Next, we would identify the chemical constituents and predict the targets by UPLC-MS and Surflex-Dock. Third, we would merge the network of multi-components corresponding to multi-targets, screen the active components and selected the optimal combination of ingredients by R-Bioconductor and Cytoscape. Finally, we will validate our results by experiments in vivo. Through high-throughput selection, computer simulation and molecular biological information technology, we trend to explore the mechanism of DN and screen the efficacy components of Shenkang pill based on the "biomolecular network". We believe that our study can provide a new research strategy for the mechanism elucidation and components optimization of Chinese herbal medicine.