Informatics-based prediction of molecular networks targeted by active ingredients in Danshen (Salvia miltiorrhiza)

• 作者: Er-Qin Dai Mu Zhang Xin-Qiang Song Yu Zhang
• 来源期刊: 精准医学研究
• 学科: 医学
• 关键词: DANSHEN (Salvia miltiorrhiza) CARDIOVASCULAR disease INGENUITY pathwayanalysis BIOINFORMATICS analysis Molecular networks
• 年，卷（期）: 2019,（2）
• 页码范围: 44-51
• 页数: 8页
• 分类号: R

摘要

Salvia miltiorrhiza (Chinese, Danshen) is one of the most famous traditional herbs, and has been used to treat cardiovascular disease. Despite the wide application of Danshen in China, the mechanisms of its bioactive components are poorly understood. The present study used bioinformatics to identify possible mechanisms by which Danshen treats cardiovascular disease. Possible human protein targets of Danshen were identified in the PubChem database, possible human gene targets of cardiovascular disease were identified in the NCBI database, and then both sets of targets were analyzed using Ingenuity Pathway Analysis to predict molecular networks affected by Danshen in cardiovascular disease. The results suggest that signaling proteins affected by Danshen in cardiovascular disease, which include FASN, PAFAH1B2, PLA2G7, PAFAH1B3 and IL1B, are involved primarily in LXR/RXR activation, atherosclerosis signaling, hepatic fibrosis/hepatic stellate cell activation, acute phase response signaling. The main networks affected by Danshen are predicted to involve in cellular movement, immune cell trafficking, hematological system development and function;DNA replication, recombination, and repair, cancer, hematological disease;cardiovascular disease, organismal injury and abnormalities, tissue morphology.These results identify several specific proteins and pathways that may be affected by Danshen in cardiovascular disease, and they illustrate the power of integrative bioinformatics and chemical fragment analysis for focusing mechanistic studies.