目的 采用網(wǎng)絡(luò)藥理學(xué)方法，揭示菊苣抗高脂血癥的活性成分、潛在藥物靶點和作用機制。方法 通過公共數(shù)據(jù)庫中獲取菊苣的活性成分、潛在藥物靶點以及高脂血癥的相關(guān)基因，并結(jié)合相關(guān)軟件進行網(wǎng)絡(luò)藥理學(xué)分析，包括蛋白質(zhì)-蛋白質(zhì)相互作用（PPI）、基因本體（GO）分析和京都基因和基因組百科全書（KEGG）分析。結(jié)果 從TCMSP數(shù)據(jù)庫共篩選菊苣活性成分12個，包括β-谷甾醇、木犀草素等核心成分，涉及相關(guān)基因靶點156個。PPI網(wǎng)絡(luò)涉及56個潛在藥物靶點，Degree值排名前5的核心靶點分別是AKT1、IL6、TP53、TNF、VGEFA。GO功能分析共獲得269個條目（P<0.05），KEGG通路富集得到71條信號通路（P<0.05），包括VEGF信號通路、脂肪細胞因子信號通路、細胞凋亡等通路。結(jié)論 菊苣抗高脂血癥是多成分、多靶點、多通路的綜合效應(yīng)，其機制可能與參與脂質(zhì)合成、炎癥反應(yīng)、細胞凋亡等過程相關(guān)。

Objective To reveal the active components, potential targets and action mechanisms of Cichorii Herba against hyperlipidemia by network pharmacology. Methods The biologically active ingredients and potential drug targets of Cichorii Herba and hyperlipidemia-related genes were obtained from public databases, and corresponding network pharmacological analysis were performed with software, including protein-protein interaction (PPI), gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Results A total of 12 active ingredients of Cichorii Herba were screened from the TCMSP database, including core drugs β-sitosterol, luteolin, and 156 related gene targets. The PPI network involves 56 potential drug targets, and the top 5 core targets with Degree values are AKT1, IL6, TP53, TNF, and VGEFA. GO functional analysis obtained a total of 269 items (P<0.05), and KEGG pathway enrichment resulted in 71 signal pathways (P<0.05), including VEGF signal pathway, adipocyte factor signal pathway, apoptosis and other pathways. Conclusion The anti-hyperlipidemia of Cichorii Herba is a comprehensive effect of multiple components, multiple targets and multiple pathways, and its mechanisms may be related to the processes involved in lipid synthesis, inflammation, and cell apoptosis.

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河南省醫(yī)學(xué)科技攻關(guān)計劃聯(lián)合共建項目（LHGJ20190273）