米糠活性成分抗肿瘤的网络药理学研究

Prediction of Active Components from Rice Bran Based on Network Pharmacology

摘要: 目的：运用网络药理学的方法，阐释米糠活性成分抗肿瘤的潜在靶点和分子机制。方法：查阅及检索TCMSP、BATMAN-TCM、PubMed、CNKI、TTD、GeneCard、OMIM等数据库，筛选米糠活性成分及肿瘤相关的靶点，建立核心靶点数据集。然后使用DAVID数据库进行GO和KEGG信号通路富集分析。结果：最终得到12个米糠活性成分，有5个靶点可能在抗肿瘤过程中发挥了重要作用，富集得到4条信号通路。结果表明，癌症信号通路、Hippo信号通路与米糠抗肿瘤作用密切相关。结论：网络药理学为米糠物质基础和分子机制的研究奠定了理论基础，也为米糠资源的开发利用及深入研究提供了参考依据。

Abstract: Objective: To investigate the potential target and molecular mechanism of active components of rice bran against tumor using the method of network pharmacology. Methods: The active components of rice bran and tumor-related targets were screened and target data sets were established by searching and retrieving databases such as TCMSP, BATMAN-TCM, PubMed, CNKI, TTD, GeneCard, OMIM, etc. Then enrichment analysis of GO and KEGG signal pathways was performed using DAVID database. Results: Twelve active components of rice bran were obtained. Evaluation and screening of five targets play an important role in the anti-tumor process. Four signal pathways were selected to participate in the anti-tumor effect. The results of network analysis showed that the anti-tumor mechanism of rice bran may be related to the regulation of transcription disorder in cancer signaling pathway and Hippo signaling pathway. Conclusion: Network pharmacology laid a foundation for finding the active components and action mechanism of rice bran, and provided a new idea and theoretical basis for the development and utilization of rice bran resources.