国际中医中药杂志2024,Vol.46Issue(2) :222-228.DOI:10.3760/cma.j.cn115398-20230323-00332

治疗冠状动脉微循环障碍的潜在中药预测研究

Prediction Study on Potential Chinese materia medica for the Treatment of coronary microvascular dysfunction

朱春临 史大卓 魏康康 苗丽娜 高洁 张琪
国际中医中药杂志2024,Vol.46Issue(2) :222-228.DOI:10.3760/cma.j.cn115398-20230323-00332

治疗冠状动脉微循环障碍的潜在中药预测研究

Prediction Study on Potential Chinese materia medica for the Treatment of coronary microvascular dysfunction

朱春临 1史大卓 2魏康康 3苗丽娜 2高洁 4张琪
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作者信息

  • 1. 北京中医药大学研究生院,北京 100029;2中国中医科学院西苑医院心血管科,北京 100091
  • 2. 中国中医科学院西苑医院心血管科,北京 100091
  • 3. 北京大学中医药临床医学院(西苑)心血管科,北京 100191
  • 4. 中国中医科学院西苑医院科研处,北京 100091
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摘要

目的 基于冠状动脉微循环障碍(CMD)的疾病核心靶点,预测具有防治CMD作用的中药。 方法 使用GeneCards、OMIM数据库获取CMD相关靶点,利用Cytoscape 3.9.1软件中MCODE插件提取子网络,利用cytoNCA插件提取子网络的核心靶点,采用Metascape在线平台对核心靶点进行GO功能及KEGG通路富集分析,利用Coremine Medical数据库进行靶点-中药匹配,对所获得的中药进行筛选,并统计其性味归经及功效分类。 结果 共筛选出CMD相关靶点3 859个,获取5个子网络。提取MCODE1网络核心靶点,共获得IL-1β、IL6、TNF、STAT3、AKT1、ACTB、VEGFA、GAPDH、TP53、ALB 10个核心靶点。GO功能富集分析显示,核心靶点主要涉及基因表达的正向调控、转录的正向调控、DNA模板、基因表达的负调控等生物过程。KEGG通路富集分析获得67条信号通路,主要包括AGEs-RAGE信号通路、HIF-1信号通路、脂肪细胞因子信号通路、流体剪切应力与动脉粥样硬化等。10个核心靶点共关联880味中药,筛选后得到丹参、川芎、红花、赤芍、黄连、人参、麦冬、五味子、肉桂、莲子、蜘蛛香等36味中药。 结论 本研究共预测出36味具有防治CMD作用的中药,为相关中药新药开发提供了研究思路。 Objective To predict Chinese materia medica that may prevent and treat coronary microvascular dysfunction (CMD) by identifying disease core targets. Methods CMD- related targets were obtained through GeneCards and OMIM databases. Subnetworks were extracted by using MCODE plugin in Cytoscape 3.9.1. Core targets of subnetworks were obtained by using cytoNCA plugin. GO function and KEGG pathway enrichment analysis for core targets were performed by using Metascape. Coremine Medical database was used to match targets with Chinese materia medica. Obtained Chinese materia medica was screened, and their properties and tastes, meridians and efficacy categories were under statistics. Results Totally 3 859 disease-related targets were screened and five subnetworks were obtained. An in-depth study of MCODE1 yielded ten core targets, including IL-1β, IL6, TNF, STAT3, AKT1, ACTB, VEGFA, GAPDH, TP53, and ALB. GO functional enrichment analysis showed that these core targets were mainly involved in biological processes, such as positive regulation of gene expression, positive regulation of transcription, DNA template, and negative regulation of gene expression. KEGG pathway enrichment analysis identified 67 signaling pathways, including the AGEs-RAGE signaling pathway, HIF-1 signaling pathway, adipocytokine signaling pathway, fluid shear stress, and atherosclerosis. The researchers identified 36 kinds of Chinese materia medica associated with the ten core targets, including Salviea Miltiorrhizae Radix et Rhizoma, Chuanxiaong Rhizoma, Carthami Flos, Paeoniae Radix Rubra, Coptidis Rhizoma, Ginseng Radix et Rhizoma, Ophiopogonis Radix, Schisandrae Chinensis Fructus, Cinnamomi Cortex, Nelumbinis Semen, and Valerianae Jatamansi Rhizoma et Radix among 880 herbs. Conclusion This study predicts 36 kinds of Chinese materia medica that have the effect of preventing and treating CMD, which can provide research ideas for the development of new drugs.

Abstract

Objective To predict Chinese materia medica that may prevent and treat coronary microvascular dysfunction (CMD) by identifying disease core targets. Methods CMD- related targets were obtained through GeneCards and OMIM databases. Subnetworks were extracted by using MCODE plugin in Cytoscape 3.9.1. Core targets of subnetworks were obtained by using cytoNCA plugin. GO function and KEGG pathway enrichment analysis for core targets were performed by using Metascape. Coremine Medical database was used to match targets with Chinese materia medica. Obtained Chinese materia medica was screened, and their properties and tastes, meridians and efficacy categories were under statistics. Results Totally 3 859 disease-related targets were screened and five subnetworks were obtained. An in-depth study of MCODE1 yielded ten core targets, including IL-1β, IL6, TNF, STAT3, AKT1, ACTB, VEGFA, GAPDH, TP53, and ALB. GO functional enrichment analysis showed that these core targets were mainly involved in biological processes, such as positive regulation of gene expression, positive regulation of transcription, DNA template, and negative regulation of gene expression. KEGG pathway enrichment analysis identified 67 signaling pathways, including the AGEs-RAGE signaling pathway, HIF-1 signaling pathway, adipocytokine signaling pathway, fluid shear stress, and atherosclerosis. The researchers identified 36 kinds of Chinese materia medica associated with the ten core targets, including Salviea Miltiorrhizae Radix et Rhizoma, Chuanxiaong Rhizoma, Carthami Flos, Paeoniae Radix Rubra, Coptidis Rhizoma, Ginseng Radix et Rhizoma, Ophiopogonis Radix, Schisandrae Chinensis Fructus, Cinnamomi Cortex, Nelumbinis Semen, and Valerianae Jatamansi Rhizoma et Radix among 880 herbs. Conclusion This study predicts 36 kinds of Chinese materia medica that have the effect of preventing and treating CMD, which can provide research ideas for the development of new drugs.

关键词

冠状动脉疾病/微循环/疾病核心靶点/防治中药

Key words

Coronary disease/Microcirculation/Disease core target/Prevention and treatment of TCM

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基金项目

国家自然科学基金(82174214)

国家自然科学基金(81904046)

中央级公益性科研院所基本科研业务费专项资金资助(ZZ15-YQ-003)

国家中医心血管病临床医学研究中心专项科研基金(CMC2022004)

出版年

2024
国际中医中药杂志
中华医学会,中国中医科学院中医药信息研究所

国际中医中药杂志

CSTPCD
影响因子:0.411
ISSN:1673-4246
参考文献量39
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