基于生物信息学与数据挖掘探讨冠心病伴抑郁与胃癌伴抑郁“异病同治”的科学内涵  被引量:1

Exploration of scientific connotation of“treating different diseases with same method”of coronary heart disease with depression and gastric cancer with depression based on bioinformatics and data mining

在线阅读下载全文

作  者:黄竹 张裕惠 王瑶 朱爱松 HUANG Zhu;ZHANG Yuhui;WANG Liaoyao;ZHU Aisong(School of Basic Medical Sciences,Zhejiang Chinese Medical University,Hangzhou 310053,China;Zhejiang Key Laboratory of Blood-Stasis-Toxin Syndrome,Hangzhou 310053,China;Zhejiang Engineering Research Center of Traditional Chinese Medicine for Preventive Disease,Hangzhou 310053,China;The Second Affiliated Hospital of Jiaxing University,Jiaxing 314000,China)

机构地区:[1]浙江中医药大学基础医学院,浙江杭州310053 [2]全省中医“瘀毒”证重点实验室,浙江杭州310053 [3]中医“治未病”智慧健康浙江省工程研究中心,浙江杭州310053 [4]嘉兴市第二医院,浙江嘉兴314000

出  处:《中草药》2024年第15期5189-5200,共12页Chinese Traditional and Herbal Drugs

基  金:国家自然科学基金项目(82174246);国家重点研发计划(2019YFC1708701)。

摘  要:目的分析冠心病伴抑郁与胃癌伴抑郁的靶点、核心药物与作用机制,探讨二者“异病同治”的科学内涵。方法检索自建库至2023年7月19日收录于中国知网(CNKI)、万方(Wanfang)、维普(VIP)、中国生物医学文献(CBM)数据库的冠心病伴抑郁与胃癌伴抑郁相关文献,筛选并构建数据库,对纳入处方中药进行频数统计、关联规则分析以及核心药物预测。结合GEO、Genecards、OMIM、TTD、Dis Ge Net数据库获取冠心病、胃癌、抑郁交集靶点,HERB数据库获取核心药物靶点,得到核心药物与疾病交集靶点。运用Cyto Hubba插件筛选核心基因,应用DAVID数据库进行基因本体论(gene ontology,GO)和京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)通路富集分析。结果研究共纳入文献109篇,其中冠心病伴抑郁处方79首,胃癌伴抑郁处方30首。核心药物组合为“柴胡-甘草-白芍-当归”,并初步筛选出其“同治”冠心病伴抑郁与胃癌伴抑郁的核心靶点为白细胞介素-6(interleukin-6,IL-6)、肿瘤坏死因子(tumor necrosis factor,TNF)、缺氧诱导因子1α(hypoxia inducible factor-1α,HIF1A)、基质金属蛋白酶9(matrix metalloproteinase9,MMP9)、肿瘤蛋白P53(tumor protein 53,TP53)等。共同富集通路主要有癌症通路、脂质和动脉粥样硬化、糖尿病并发症中的晚期糖基化终产物-晚期糖基化终产物受体(advanced glycation end products-receptor for advanced glycosylation end products,AGE-RAGE)信号通路、缺氧反应因子-1(hypoxia-inducible factor-1,HIF-1)信号通路等。结论中医药治疗冠心病伴抑郁与胃癌伴抑郁符合“异病同治”理论,遵循中医共性病因病机要素与“虚、瘀、毒、郁”有关,病变脏腑为心、肝、脾、胃,治疗予以扶正基础上的化瘀解毒开郁大法,为临床重大慢性疾病防治提供一定参考。Objective To analyze the targets,core drugs and mechanisms of coronary heart disease(CHD)with depression and gastric cancer(GC)with depression,and to explore the connotation of“treating different diseases with same method”.Methods The literatures related to CHD with depression and GC with depression collected from CNKI,Wanfang,VIP and CBM were retrieved from the self-built database until July 19,2023,and the database was screened and constructed.The frequency statistics,association rule analysis and core drug prediction were carried out.Combining GEO,Genecards,OMIM,TTD,and DisGeNet databases to obtain CHD,GC,and depression intersection targets.The core drug target was obtained based on HERB database,and the core drug-disease intersection targets were obtained.Core genes were screened using CytoHubba plug-in,gene ontology(GO)and Kyoto encyclopedia of Genes and genomes(KEGG)pathway enrichment analysis were conducted using DAVID database.Results A total of 109 literatures were included,including 79 CHD with depression prescription and 30 GC with depression prescription.The core drug combination was“Chaihu(Bupleuri Radix)-Gancao(Glycyrrhizae Radix et Rhizoma)-Baishao(Paeoniae Radix Alba)-Danggui(Angelicae Sinensis Radix)”,and the core targets of CHD with depression and GC with depression were interleukin-6(IL-6),tumor necrosis factor(TNF),hypoxia inducible factor-1α(HIF1A),matrix metalloproteinase 9(MMP9),tumor protein 53(TP53),etc.The co-enrichment pathways mainly include lipid and atherosclerosis,cancer pathway,advanced glycation end products-receptor for advanced glycosylation end products(AGE-RAGE)signaling pathway in diabetic complications,hypoxia-inducible factor-1(HIF-1)signaling pathway,etc.Conclusion In the treatment of CHD with depression and GC with depression in line with the“treating different diseases with same method”,the common etiological factors of TCM are related to“deficiency,stasis,toxicity and depression”.The diseased organs are the heart,liver,spleen and stomach.The treatment s

关 键 词:冠心病 胃癌 抑郁 异病同治 用药规律 生物信息学 柴胡-甘草-白芍-当归 

分 类 号:Q811.4[生物学—生物工程] R285[医药卫生—中药学] TP18[医药卫生—中医学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象