[1]李风雷,韩紫阳,朱 杰.基于文献数据挖掘和网络药理学的中药治疗胰岛素抵抗的作用机制研究[J].医学信息,2022,35(20):5-11.[doi:10.3969/j.issn.1006-1959.2022.20.002]
 LI Feng-lei,HAN Zi-yang,ZHU Jie.Study on Mechanism of Chinese Medicine in Treating Insulin Resistance Based on Literature Data Mining and Network Pharmacology[J].Journal of Medical Information,2022,35(20):5-11.[doi:10.3969/j.issn.1006-1959.2022.20.002]
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基于文献数据挖掘和网络药理学的中药治疗胰岛素抵抗的作用机制研究()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
35卷
期数:
2022年20期
页码:
5-11
栏目:
中医药信息学
出版日期:
2022-10-15

文章信息/Info

Title:
Study on Mechanism of Chinese Medicine in Treating Insulin Resistance Based on Literature Data Mining and Network Pharmacology
文章编号:
1006-1959(2022)20-0005-07
作者:
李风雷韩紫阳朱 杰
(1.南京中医药大学翰林学院,江苏 泰州 225300;2.泰州市城西街道卫生服务中心,江苏 泰州 225300;3.南京中医药大学中医学院,江苏 南京 210046;4.江苏卫生健康职业技术学院,江苏 南京 210029)
Author(s):
LI Feng-leiHAN Zi-yangZHU Jie
(1.Nanjing University of Chinese Medicine Hanlin College,Taizhou 225300,Jiangsu,China;2.Taizhou Chengxi Street Health Service Center,Taizhou 225300,Jiangsu,China;3.College of Traditional Chinese Medicine,Nanjing University of Chinese Medicine,Nanjing 210046,Jiangsu,China;4.Jiangsu Vocational and Technical College of Health,Nanjing 210029,Jiangsu,China)
关键词:
胰岛素抵抗黄芪山药丹参分子对接数据挖掘
Keywords:
Insulin resistanceAstragalus membranaceusCommon yam rhizomeSalvia miltiorrhizaMolecular dockingData mining
分类号:
R259
DOI:
10.3969/j.issn.1006-1959.2022.20.002
文献标志码:
A
摘要:
目的 基于数据挖掘获得中药治疗胰岛素抵抗的核心药对,利用网络药理学及分子对接技术探讨该核心药对治疗胰岛素抵抗的作用机制。方法 计算机检索中国知网、万方、维普数据库筛选中药治疗胰岛素抵抗的方药并进行数据分析,将文献数据挖掘获得的中药治疗胰岛素抵抗的核心药对成分导入TCMSP,筛选后得到核心药对的中药成份靶点及目标靶点;采用关键词“insulin resistance”检索GeneCards、OMIM、Pharmgkb、DisGeNET数据库得到胰岛素抵抗的作用靶点,绘制疾病与药物相关的靶基因的Venn图,将疾病与药物相关靶基因导入Cytoscapes构建中药调控网络;将药对与疾病相关靶点导入String,选择“Homo Sapiens”,构建蛋白互作网络;利用Metascape,选择“H.sapiens”对核心药对进行个性化的GO和KEGG富集分析,利用KEGG网站获取KEGG通路图,利用PyMoL及AutoDock Vina软件进行分子对接。结果 数据挖掘显示,单味中药治疗胰岛素抵抗按疗效可分为补肾益气、活血化瘀、补气健脾和清热补阴药,其中黄芪(163次)、丹参(127次)、茯苓(116次)在治疗胰岛素抵抗中出现频率较高;两药组合药对治疗胰岛素抵抗中黄芪-丹参药对链接性最强;黄芪-山药-丹参作为中药复方治疗胰岛素抵抗置信度关联性最强的药对与疾病共有203个治疗核心靶点;黄芪-山药-丹参药对的核心成分有槲皮素、木犀草素、山奈酚,这些成分主要通过对无机物、有毒物质、脂多糖反应,与转录因子、蛋白激酶结合等生物学过程,作用于STAT3、TP53和MAPK1来治疗胰岛素抵抗,其富集程度最高的通路为AGE-RAGE signaling pathway in diabetic complications。结论 胰岛素抵抗是全球常见疾病,其中医治疗以活血化瘀、补益脾肾为主;黄芪-山药-丹参药对可以通过潜在作用靶点,如STAT3、TP53和MAPK1等多途径通路治疗胰岛素抵抗,可能成为中药治疗胰岛素抵抗的潜在方向之一。
Abstract:
Objective To obtain the core drug pairs of traditional Chinese medicine for insulin resistance in the database based on data mining and explore the mechanism of the core drug pair of traditional Chinese medicine for insulin resistance by using network pharmacology and molecular docking technology.Methods The prescriptions of traditional Chinese medicine in the treatment of insulin resistance were screened by computer retrieval of CNKI, Wanfang and VIP databases, and the data were analyzed. The core drug pairs of traditional Chinese medicine in the treatment of insulin resistance obtained by literature data mining were imported into TCMSP, and the traditional Chinese medicine component targets and target targets of core drug pairs were obtained after screening. The key words "insulin resistance" were used to search GeneCards, OMIM, Pharmgkb and DisGeNET databases to obtain the targets of insulin resistance, and the Venn diagram of target genes related to diseases and drugs was drawn. The target genes related to diseases and drugs were introduced into Cytoscapes to construct the regulatory network of traditional Chinese medicine. The drug pair and disease-related targets were imported into String, and "Homo Sapiens" was selected to construct a protein interaction network. Using Metascape, "H. sapiens" was selected for personalized GO and KEGG enrichment analysis of the core drug pair. The KEGG pathway map was obtained using the KEGG website, and molecular docking was performed using PyMoL and AutoDock Vina software.Results Data mining showed that according to the curative effect of single Chinese medicine in the treatment of insulin resistance, it could be divided into tonifying kidney and replenishing qi, promoting blood circulation and removing blood stasis, tonifying qi and invigorating spleen, clearing heat and nourishing yin drugs. Among them, Astragalus membranaceus (163 times), Salvia miltiorrhiza (127 times) and Poria cocos (116 times) had higher frequency in the treatment of insulin resistance. In the treatment of insulin resistance, Astragalus membranaceus-Salvia miltiorrhiza herb pair had the strongest linkability; there were 203 core therapeutic targets in the drug pair and disease with the strongest confidence correlation in the treatment of insulin resistance with traditional Chinese medicine compound. Quercetin, luteolin and kaempferol were the core components of Astragalus membranaceus- Common yamrhizome -Salvia miltiorrhiza herb pair. These components mainly act on STAT3, TP53 and MAPK1 to treat insulin resistance by reacting with inorganic substances, toxic substances, lipopolysaccharide, transcription factors, protein kinases and other biological processes. The most enriched pathway was AGE-RAGE signaling pathway in diabetic complications.Conclusion Insulin resistance is a common disease in the world, the treatment of traditional Chinese medicine to promote blood circulation, tonifying spleen and kidney; Astragalus membranaceus-Common yam rhizome-Salvia miltiorrhiza herb pair can treat insulin resistance through potential targets, such as STAT3, TP53 and MAPK1, which may become one of the potential directions of traditional Chinese medicine in the treatment of insulin resistance.

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更新日期/Last Update: 1900-01-01