HJ11汤治疗动脉粥样硬化的网络药理学机制及实验验证。

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Fei Lu, Jiaxi Zou, Weiming Xu, Fangyuan Zhang, Wenyi Nie, Yue Zhao, Lijie Jiang, Lizhe Liang, Jingqing Hu
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引用次数: 0

摘要

背景:HJ11 (HJ11汤)是在传统方四苗永安汤的基础上研制而成,对动脉粥样硬化(AS)具有显著的治疗作用。然而,HJ11治疗AS的主要成分和潜在机制尚不清楚。研究目的:本研究旨在通过网络药理学和体内实验验证,阐明HJ11治疗AS的作用机制。方法:采用网络药理学方法对HJ11的主要生物活性成分和靶点进行研究。从GeneCards和DisGeNET数据库中获得as相关基因,并筛选与HJ11的交叉基因。利用Cytoscape 3.9.1构建中药-化合物-靶点相互作用网络,并对关键靶点进行分子对接分析。通过小鼠模型进一步证实了HJ11的作用机制。结果:共鉴定出HJ11活性成分231个,as相关基因1681个,共有靶点156个。通过众多网络的建立,我们发现HJ11在AS治疗中的主要关联机制与抗炎有关。重要物质包括槲皮素、山奈酚和木犀草素,而TNF-α、AKT1、IL-6和VEGFA是主要靶点。分子对接表明,活性药物(槲皮素、山奈酚和木犀草素)与靶点(TNF-α、AKT1、IL-6和VEGFA)之间存在良好的结合相互作用。在体内研究中,HJ11在mRNA和蛋白水平上降低TNF-α、AKT1、IL-6和VEGFA的表达,抑制AS小鼠模型的动脉粥样硬化病变,延缓动脉后硬化的发展。结论:HJ11具有抑制炎症及AS进展的作用,其机制可能与下调TNF-α、AKT1、IL-6、VEGFA的表达有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mechanism of HJ11 Decoction in the Treatment of Atherosclerosis Based on Network Pharmacology and Experimental Validation.

Background: HJ11 (HJ11 decoction), which is based on the traditional prescription Si-Miao-Yong-An decoction, has exerted a remarkable effect on atherosclerosis (AS). Nevertheless, the main components and underlying mechanisms of HJ11 for treating AS remain unclear.

Aim of the study: This study was designed to elucidate the mechanism of HJ11 in the treatment of AS through network pharmacology and in vivo experimental validation.

Methods: Network pharmacology was employed to explore the primary bioactive components and targets of HJ11. AS-related genes were obtained from the GeneCards and DisGeNET databases and screened for intersections with HJ11. A herb-compound-target interaction network was constructed by Cytoscape 3.9.1, and molecular docking analyses were constructed on key targets. By using a mouse model, the mechanism of action of HJ11 was further confirmed.

Results: A total of 231 active components of HJ11, 1681 AS-related genes, and 156 common targets were identified. Through the establishment of numerous networks, it was discovered that the main association of the mechanism of HJ11 in AS therapy pertained to anti-inflammation. Important substances included quercetin, kaempferol, and luteolin, while TNF-α, AKT1, IL-6, and VEGFA were the main targets. Molecular docking demonstrated that there were favorable binding interactions between active drugs (quercetin, kaempferol, and luteolin) and targets (TNF-α, AKT1, IL-6, and VEGFA). In the in vivo study, HJ11 reduced the expression of TNF-α, AKT1, IL-6, and VEGFA at both the mRNA and protein levels, inhibited atherosclerotic lesions in AS mouse models, and retarded the development of retroarterioid sclerosis.

Conclusions: HJ11 can inhibit inflammation and the progression of AS, and the mechanism might involve downregulating the expression of TNF-α, AKT1, IL-6, and VEGFA.

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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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