基于数据挖掘探讨橙皮苷治疗抑郁症的机制及初步实验验证  

Mechanism and Preliminary Experimental Validation of Hesperidin in Treatment of Depression Based on Data Mining

作　　者：吴永叶 杜志欣 杨丽萍[1] 侯俊林[1] 余晨阳 王昱龙 王钰洁 刘玉娟 WU Yongye;DU Zhixin;YANG Liping;HOU Junlin;YU Chenyang;WANG Yulong;WANG Yujie;LIU Yujuan(Traditional Chinese Medicine School(Zhongjing School),Henan University of Chinese Medicine,Zhengzhou Henan China 450046)

机构地区：[1]河南中医药大学中医学院(仲景学院),河南郑州450046

出　　处：《中医学报》2025年第5期1091-1100,共10页Acta Chinese Medicine

基　　金：国家自然科学基金项目(81973596);河南省大学生创新创业训练计划项目(S202210471038)。

摘　　要：目的:基于生物信息学方法探索橙皮苷治疗抑郁症的作用机制,并通过动物实验进行初步验证。方法:通过DisGeNET、Drugbank、GeneCards数据库及GSE76826数据集筛选抑郁症的靶点。借助TCMIP、TCMSP、BATMAN-TCM及Swiss Target Prediction数据库检索橙皮苷的靶点。将抑郁症与橙皮苷的靶点取交集,并绘制韦恩图。利用STRING数据库绘制蛋白质-蛋白质相互作用(protein-protein interaction,PPI)网络,并筛选关键靶点。采用R语言对关键靶点进行京都基因与基因组百科全书(Kyoto Encyclopedia of Genes and Genomes,KEGG)通路分析,并筛选关键通路。通过AutoDock 1.5.6软件对橙皮苷与关键靶点进行分子对接分析。采用R语言对关键靶点进行ROC分析,并获取曲线下面积(area under concentration-time curve,AUC)。将24只SD大鼠随机分为正常组、模型组及橙皮苷组(20 mg·kg^(-1)),每组8只。采用慢性束缚法建立抑郁症模型,持续21 d。采用旷场实验、糖水偏好实验及高架十字迷宫实验评价大鼠的抑郁样行为。采用超高效液相色谱(ultra performance liquid chromatography,UPLC)法检测大鼠前额叶皮质中去甲肾上腺素(norepinephrine,NE)、肾上腺素(epinephrine,EP)、左旋多巴(levodopa,L-DOPA)、多巴胺(dopamine,DA)、5-羟色胺(5-hydroxytryptamine,5-HT)、高香草酸(homovanillic acid,HVA)含量。结果:抑郁症靶点3850个,橙皮苷靶点149个,两者的交集靶点83个。12个关键靶点涉及的KEGG通路包括PI3K/AKT信号通路、MAPK信号通路及TNF信号通路等。其中,PI3K/AKT信号通路可能是橙皮苷治疗抑郁症的关键通路。5个关键靶点与橙皮苷的分子对接结合能均小于-7.0 kcal·mol^(-1)。ROC分析显示,TP53与VEGFA的诊断价值较高(AUC>0.900)。模型组大鼠的中央区停留时间、穿格次数、直立次数、运动总距离较正常组减少(P<0.01),经橙皮苷治疗后增加(P<0.05)。模型组大鼠的糖水偏好率、开臂进入次数百分比、开臂Objective:To explore the mechanism of hesperidin in the treatment of depression based on bioinformatics methods,and to conduct preliminary verification through animal experiments.Methods:DisGeNET,Drugbank,GeneCards databases and GSE76826 datasets were used to screen the targets of depression.Hesperidin targets were retrieved using TCMIP,TCMSP,BATMAN-TCM and Swiss Target Prediction databases.The targets of depression and hesperidin were intersected,and a Wayne diagram was plotted.The STRING database was used to map the protein-protein interaction(PPI)network and screen key targets.The Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis of key targets was performed using R language,and the key pathways were screened.Molecular docking analysis of hesperidin to key targets was performed by Auto Dock 1.5.6 software.ROC analysis of key targets was performed in R language,and the area under concentration-time curve(AUC)was obtained.Twenty-four SD rats were randomly divided into blank group,model group and hesperidin group(20 mg·kg^(-1)),with 8 rats in each group.The chronic restraint method was used to establish a depression model for 21 days.The open field experiment,sugar water preference test and elevated cross maze test were used to evaluate the depressive behavior of rats.Ultra performance liquid chromatography(UPLC)was used to detect norepinephrine(NE),epinephrine(EP),levodopa(L-DOPA),dopamine(DA),5-Serotonin(5-hydroxytryptamine)(5-HT)and homovanillic acid(HVA)content.Results:There were 3850 targets for depression,149 targets for hesperidin,and 83 targets at the intersection of the two.The KEGG pathways involved in the 12 key targets include PI3K/AKT signaling pathway,MAPK signaling pathway and TNF signaling pathway.Among them,the PI3K/AKT signaling pathway may be a key pathway for hesperidin in the treatment of depression.The molecular docking binding energy of the five key targets with hesperidin was less than-7.0 kcal·mol^(-1).ROC analysis showed that TP53 and VEGFA had a higher diagnostic value(AUC

关 键 词：橙皮苷 抑郁症 神经递质 PI3K/AKT信号通路 TP53 VEGFA 

分 类 号：R285.5[医药卫生—中药学]