目的 采用網(wǎng)絡(luò)藥理學方法預(yù)測川芎嗪與阿魏酸抗動脈粥樣硬化（AS）的藥理作用機制。方法 通過TCMSP、BATMAN-TCM、Swisstargettion和STITCH數(shù)據(jù)庫篩選川芎嗪與阿魏酸的靶標基因，利用OMIM、Genecards、Drugbank數(shù)據(jù)庫查找AS的相關(guān)靶標蛋白，運用STRING數(shù)據(jù)庫構(gòu)建蛋白相互作用網(wǎng)絡(luò)，并通過DAVID數(shù)據(jù)庫對核心靶點基因本體（GO）和京都基因和基因組百科全書（KEGG）通路富集分析，最后使用Autoduck分子對接軟件對網(wǎng)絡(luò)藥理學結(jié)果進行初步的驗證。結(jié)果 最終篩選出川芎嗪與阿魏酸作用于AS的靶點47個。GO分析得到生物過程（BP）條目170個，細胞組分（CC）條目29個，分子功能（MF）條目47個。KEGG富集分析結(jié)果顯示有50條通路與AS相關(guān)，主要包括低氧誘導因子信號通路、花生四烯酸新陳代謝、脂肪細胞因子信號通路等。VEGFA、TNF、PTGS2、EGFR、MAPK8、TLR4編碼的蛋白作為靶點分別與川芎嗪和阿魏酸進行對接，對接結(jié)果良好。結(jié)論 川芎嗪和阿魏酸主要通過多靶點協(xié)作調(diào)控多種信號通路共同參與到抑制炎癥反應(yīng)的過程，從而達到治療AS的目的。

Objective To investigate and predict the pharmacological mechanism of tetramethylpyrazine (TMP) and ferulic acid (FA) against arteriosclerosis by the method of network pharmacology. Methods The target genes of tetramethylpyrazine and ferulic acid were screened by TCMSP, BATMAN-TCM, Swisstargettion and STITCH databases, and the related target proteins of tetramethylpyrazine and ferulic acid were found by Omim, Genecards and arteriosclerosis, the protein-protein interaction network was constructed by using STRING database, and the GO and Kegg pathways were enriched by David database. Finally, the results of network pharmacology were validated by using Autoduck software. Results Totally 47 target sites for the interaction of tetramethylpyrazine with ferulic acid were selected. Go analysis resulted in 170 BP entries, 29 CC entries and 47 MF entries. Kegg enrichment analysis revealed that 50 pathways were associated with AS, including Hypoxia inducible factor signaling, arachidonic acid metabolism, and APLN signaling. VEGFA, TNF, PTGS2, EGFR, Mapk8 and TLR4 were used as targets for docking with tetramethylpyrazine and ferulic acid respectively. Conclusion Ligustrazine and ferulic acid can inhibit the inflammatory reaction by regulating multiple signal pathways together through multi-target cooperation, thus achieving the aim of treating AS.

R285.5

中央高?；究蒲袠I(yè)務(wù)費專項資金資助項目（2020-JYB-ZDGG-034）；國家自然科學基金資助項目（81803738）