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论著.生物信息技术 | 更新时间:2024-12-30
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基于生物信息学、网络药理学和分子对接方法探讨苦丁茶治疗扩张型心肌病的作用机制
Mechanism of Ilex Kudingcha for the treatment of dilated cardiomyopathy based on bioinformatics, network pharmacology and molecular docking methods: an exploration study

广西医学 页码:1716-1726

作者机构:黎承班,在读硕士研究生,主治医师,研究方向为心血管疾病基础与临床研究。

基金信息:国家自然科学基金(82360080);广西自然科学基金(2023GXNSFAA026010)

DOI:10.11675/j.issn.0253⁃4304.2024.11.13

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  • 英文简介
  • 参考文献

目的 基于生物信息学、网络药理学和分子对接方法探讨苦丁茶治疗扩张型心肌病(DCM)的作用机制。方法 通过中药系统药理学数据库与分析平台、PubChem、SwissTargetPrediction、UniProt等数据库筛选苦丁茶的活性化学成分及其作用靶点。通过GeneCards®数据库、OMIM®数据库和DisGeNET数据库获取DCM相关靶点。将上述靶点取交集,采用STRING数据库和Cytoscape软件构建交集靶点的蛋白⁃蛋白相互作用(PPI)网络,筛选核心靶点。利用Cytoscape软件构建成分⁃靶点网络图,筛选关键活性成分。通过R语言软件对交集靶点进行基因本体论(GO)功能富集分析及京都基因与基因组百科全书(KEGG)通路富集分析。利用GEO数据库的在线工具GEO2R分别对3个微阵列数据集GSE1145、GSE42955和GSE5406进行分析,筛选差异表达基因,针对差异表达基因与核心靶点基因中的共有基因,通过R语言软件绘制受试者工作特征(ROC)曲线分析其预测效能。针对关键活性成分及核心靶点进行分子对接验证。结果 共筛选出苦丁茶活性化学成分9个及其作用靶点369个,DCM相关靶点1 597个,两者交集靶点105个。苦丁茶治疗DCM的关键活性成分包括槲皮素、山柰酚、β⁃谷甾醇、坡模酸等,核心靶点包括丝氨酸/苏氨酸激酶1(AKT1)、原癌基因酪氨酸蛋白激酶(SRC)、肿瘤坏死因子(TNF)、Jun原癌基因,AP⁃1转录因子亚基(JUN)等。交集靶点涉及伤口愈合、上皮细胞增殖、生殖系统发育、对氧化应激的反应等生物过程,膜微域膜筏、膜筏、质膜的外侧、黏着斑等细胞组分,信号受体激活剂活性、受体配体活性、蛋白丝氨酸/苏氨酸/酪氨酸激酶活性及细胞因子受体结合等分子功能,以及脂质和动脉粥样硬化、PI3K/AKT信号通路、AGE/RAGE信号通路等信号通路。AKT1、SRC、TNF、HSP90AA1 和JUN在GSE1145、GSE42955、GSE55406三个GEO数据集中存在差异表达,且诊断DCM的效能较高。分子对接结果显示,苦丁茶的关键主要活性成分与核心靶点有较高的结合活性。结论 苦丁茶的主要活性成分槲皮素、山柰酚、β⁃谷甾醇、坡模酸等主要通过作用于AKT1、SRC、TNF、HSP90AA1和JUN等核心靶点,参与调控膜微域膜筏、膜筏、质膜的外侧、黏着斑等细胞组分,信号受体激活剂活性、受体配体活性、细胞因子受体结合、蛋白丝氨酸/苏氨酸/酪氨酸激酶活性等分子功能,上皮细胞增殖、对氧化应激的反应等生物过程,以及脂质和动脉粥样硬化、PI3K/AKT信号通路、AGE/RAGE信号通路等信号通路,从而发挥治疗DCM的作用。

Objective To investigate the mechanism of Ilex Kudingcha for the treatment of dilated cardiomyopathy (DCM) based on bioinformatics, network pharmacology, and molecular docking methods. Methods Active chemical components and their effect targets of Ilex Kudingcha were screened from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, and the databases such as PubChem, SwissTargetPrediction, and UniProt. Targets related to DCM were obtained from the databases of GeneCards®, OMIM®, and DisGeNET, and the intersection of the aforementioned targets was acquired. The protein⁃protein interaction (PPI) network of the intersection targets was established for screening the core targets by using the STRING database and Cytoscape software. The components⁃targets network diagram was established for screening the key active components by employing the Cytoscape software. Through the R language software, Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed on the intersection targets. The online tool GEO2R of GEO database was used to perform analysis on 3 microarray datasets of GSE1145, GSE42955, and GSE5406 for screening differentially expressed genes. For common genes between differentially expressed genes and core target genes, the receiver operating characteristic (ROC) curve was drawn by the R language software to analyze their predictive efficiency. Molecular docking validation was performed on the key active components and core targets. Results A total of 9 active chemical components and 369 effect targets of Ilex Kudingcha were screened. Targets related to DCM were 1597, and the intersection targets were 105. The key active components of Ilex Kudingcha for treating DCM contained quercetin, kaempferol, β⁃sitosterol, and pomolic acid, etc., and the core targets included serine/threonine kinase 1 (AKT1), proto⁃oncogene tyrosine protein kinase (SRC), tumor necrosis factor (TNF), Jun proto⁃oncogene, AP⁃1 transcription factor subunit (JUN) etc. The intersection targets were involved in biological processes such as wound healing, epithelial cell proliferation, reproductive system development, and response to oxidative stress, in cellular compositions such as membrane microdomains raft, membrane raft, outer part of plasma membrane, focal adhesion, in molecular functions such as signal receptor activator activity, receptor ligand activity, protein serine/threonine/tyrosine kinase activity, and cytokine receptor binding, as well as in signaling pathways such as lipid and atherosclerosis, PI3K/AKT signaling pathway, AGE/RAGE signaling pathway. AKT1, SRC, TNF, HSP90AA1 and JUN were differentially expressed in 3 GEO datasets of GSE1145, GSE42955 and GSE55406, and these genes had favorably high diagnostic efficiency for DCM. The results of molecular docking revealed that there was favorably high binding activity between the key active component and core targets. Conclusion The main active components of Ilex Kudingcha in terms of quercetin, kaempferol, β⁃sitosterol, and pomolic acid, etc., may participate in regulating cellular compositions such as membrane microdomain raft, membrane raft, outer part of plasma membrane, and focal adhesion, in molecular functions such as signal receptor activator activity, receptor ligand activity, cytokine receptor binding, and protein serine/threonine/tyrosine kinase activity, in biological processes in epithelial cell proliferation, response to oxidative stress, as well as in signaling pathways such as lipid and atherosclerosis, PI3K/AKT signaling pathway, AGE/RAGE signaling pathway, so as to exert therapeutic effect of DCM through mainly acting on the core targets such as AKT1, SRC, TNF, HSP90AA1 and JUN.

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