目的 采用網絡藥理學技術探討香青蘭防治癡呆的物質基礎和作用機制。方法 通過文獻挖掘和藥動學參數篩選香青蘭含有的活性化合物，通過檢索DrugBank、GeneCards和OMIM數據庫收集與癡呆相關的靶標；運用Cytoscape軟件構建香青蘭防治癡呆的蛋白質相互作用網絡；進行基因本體和信號通路富集分析；構建香青蘭化合物-關鍵靶標-通路網絡。結果 篩選得到香青蘭中藥物活性成分42種，獲得香青蘭防治癡呆的潛在藥物靶標90個，于蛋白質互作網絡中進一步篩選得到74個主要靶標，富集得到300條信號通路、1 465個生物學過程、104個細胞組分和108個分子功能，通過化合物-靶標-通路網絡中獲得香青蘭發(fā)揮防治癡呆作用的關鍵化合物，如金合歡素、芹菜素、金圣草（黃）素等黃酮類化合物，以及對應的關鍵靶標與關鍵信號通路，如MAPK、APP、MAPT、PI3K等靶標與阿爾茨海默病、神經營養(yǎng)蛋白等通路。結論 香青蘭防治癡呆具有多成分、多靶標、多通路的作用特點。

Objective To explore the material basis and mechanism of Dracocephalum moldavica L. in the prevention and treatment of dementia.Methods The active compounds contained in D. moldavica were screened by literature mining and pharmacokinetic parameters, and the targets related to dementia were collected by searching drugbank, genecards and OMIM databases. Cytoscape software was used to construct the protein interaction network of D. moldavica for the prevention and treatment of dementia. Gene ontology and signal pathway enrichment were analyzed. The key target pathway network of D. moldavica compounds was constructed. Results 42 active components were screened, 90 potential drug targets for the prevention and treatment of dementia were obtained, 74 main targets were further screened in the protein-protein interaction network, and 300 signal pathways, 1 465 biological processes, 104 cell components and 108 molecular functions were enriched. Through the compound-target-pathway network, the key compounds that play a role in the prevention and treatment of dementia, such as acacetin, apigenin, chrysoeriol and other flavonoids, as well as the corresponding key targets and key signal pathways, such as MAPK, APP, MAPT, PI3K and Alzheimer's disease, neurotrophic protein and other pathways were obtained. Conclusion D. moldavica has the characteristics of multi-component, multi-target and multi-channel in the prevention and treatment of dementia.

R285.5

國家自然科學基金NSFC-新疆聯合基金重點支持項目（U1803281）；中國醫(yī)學科學院醫(yī)學與健康科技創(chuàng)新工程項目（重大協同創(chuàng)新項目，2017-I2M-1-016）