郭艷麗 劉維麗 吳麗紅



[摘要] 目的 以網絡藥理學方法研究枸杞子的主要活性成分及其作用靶點規律,推測可能存在的藥理機制。 方法 在BATMAN-TCM平臺檢索枸杞子的活性成分,以口服生物利用度(OB)≥30%和類藥性(DL)≥0.18為標準篩選活性成分,找出活性成分對應靶點。構建枸杞子活性成分靶點蛋白互作網絡,運用DAVID數據庫進行靶點GO功能富集和KEGG通路富集分析。 結果 篩選到枸杞子OB≥30%、DL≥0.18活性成分45種,其中36個活性成分作用靶點去除重復共計208個;在DAVID數據庫以“P < 0.05,基因數>10”作為條件進行篩選,得到枸杞子靶點主要的生物功能GO條目56條、KEGG通路84條。 結論 探索枸杞子多藥效物質基礎和多維藥理作用可為枸杞子深入研究提供依據。
[關鍵詞] 網絡藥理學;枸杞子;GO富集;KEGG通路
[中圖分類號] R282 ? ? ? ? ?[文獻標識碼] A ? ? ? ? ?[文章編號] 1673-7210(2020)07(a)-0112-05
[Abstract] Objective To study the main active components and targets of Lycii Fructus by network pharmacology, and speculate the possible pharmacological mechanism. Methods The bioactive components of Lycii Fructus were searched on the platform of BATMAN-TCM. The bioactive components were screened according to the criteria of oral bioavailability (OB)≥30% and drug like (DL)≥0.18, and the corresponding targets of the bioactive components were found. The purpose protein interaction network of active ingredients of Lycii Fructus was constructed, and the GO function enrichment and KEGG signal pathway enrichment were performed using the DAVID database. Results Forty-five kinds of active components that were OB≥30%, DL≥0.18 in Lycii Fructus were screened, among which, 36 active components had a total of 208 targets eliminating duplicates. In the DAVID database, performed under the condition of “P < 0.05, number of genes>10”, and 56 GO items of main biological functions of Lycii Fructus were obtained, 84 KEGG pathways were obtained. Conclusion The exploration of the multi-functional substance basis and multi-dimensional pharmacological effects of Lycii Fructus can provide reference for the further study.
[Key words] Network pharmacology; Lycii Fructus; GO enrichment; KEGG signal pathway
網絡藥理學是當前中藥學科的研究前沿,其融合了系統生物學和多向藥理學思想,以構建藥物-靶點-疾病之間的復雜網絡來分析藥物的作用機制,從而實現藥理研究由單一靶點轉向綜合網絡分析[1]。中藥具有多成分、多靶點、調節方式多樣的特點,信息量極大[2]。網絡藥理學使中藥學研究從單靶標、單成分研究思路開始向整體探究、系統調節轉變,從相互聯系的角度研究中藥藥理機制。
枸杞子(Lycii Fructus)是茄科多年生落葉灌木枸杞Lycium barbarum L.的干燥成熟果實。枸杞子性平,味甘,無毒,具有滋補肝腎、益精明目的功效,臨床上用來治療腰膝酸痛、內熱消渴、頭暈、健忘等病癥[3-4]。現代醫學證明,枸杞子具有抗氧化、抗衰老、增強免疫功能以及抗腫瘤等多種生物活性[5]。枸杞子活性成分多、作用靶點復雜,基于此,本研究利用網絡藥理學分析平臺,對枸杞子的活性成分、其靶點相互作用關系進行分析,為枸杞子藥理機制研究和臨床應用提供更多可能。
1 資料與方法
1.1 枸杞子活性組分及靶點蛋白篩選
利用北京蛋白質組研究中心開發的生物信息學工具BATMAN-TCM平臺,以枸杞子為關鍵詞檢索活性成分,用類藥性(DL)和口服生物利用度(OB)兩個指標進行篩選[6],并且整理活性成分潛在靶點蛋白。
1.2 靶點蛋白互作(PPI)網絡構建
為研究靶點蛋白整體作用水平,將篩選到的枸杞子活性成分相關靶點蛋白在STRING平臺在線構建PPI模型[7-11]。
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(收稿日期:2020-01-14)