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基于网络药理学、分子对接和实验验证整合策略探讨定悸复脉汤抗心房颤动的潜在机制

Potential Mechanism of Dingji Fumai Decoction Against Atrial Fibrillation Based on Network Pharmacology, Molecular Docking, and Experimental Verification Integration Strategy.

作者信息

Liang Yi, Liang Bo, Chen Wen, Wu Xin-Rui, Liu-Huo Wu-Sha, Zhao Li-Zhi

机构信息

Southwest Medical University, Luzhou, China.

Nanjing University of Chinese Medicine, Nanjing, China.

出版信息

Front Cardiovasc Med. 2021 Nov 11;8:712398. doi: 10.3389/fcvm.2021.712398. eCollection 2021.

Abstract

Dingji Fumai Decoction (DFD), a traditional herbal mixture, has been widely used to treat arrhythmia in clinical practice in China. However, the exploration of the active components and underlying mechanism of DFD in treating atrial fibrillation (AF) is still scarce. Compounds of DFD were collected from TCMSP, ETCM, and literature. The targets of active compounds were explored using SwissTargetPrediction. Meanwhile, targets of AF were collected from DrugBank, TTD, MalaCards, TCMSP, DisGeNET, and OMIM. Then, the H-C-T-D and PPI networks were constructed using STRING and analyzed using CytoNCA. Meanwhile, VarElect was utilized to detect the correlation between targets and diseases. Next, Metascape was employed for systematic analysis of the mechanism of potential targets and protein complexes in treating AF. AutoDock Vina, Pymol, and Discovery Studio were applied for molecular docking. Finally, the main findings were validated through molecular biology experiments. A total of 168 active compounds and 1,093 targets of DFD were collected, and there were 89 shared targets between DFD and AF. H-C-T-D network showed the relationships among DFD, active compounds, targets, and AF. Three functional protein complexes of DFD were extracted from the PPI network. Further systematic analysis revealed that the regulation of cardiac oxidative stress, cardiac inflammation, and cardiac ion channels were the potential mechanism of DFD in treating AF. Addtionally, molecular docking verified the interactions between active compounds and targets. Finally, we found that DFD significantly increased the level of SIRT1 and reduced the levels of ACE, VCAM-1, and IL-6. DFD could be utilized in treating AF through a complicated mechanism, including interactions between related active compounds and targets, promoting the explanation and understanding of the molecular biological mechanism of DFD in the treatment of AF.

摘要

定悸复脉汤(DFD)是一种传统中药复方,在中国临床实践中已被广泛用于治疗心律失常。然而,关于DFD治疗心房颤动(AF)的活性成分及潜在机制的研究仍较少。从中药系统药理学数据库与分析平台(TCMSP)、中药综合数据库(ETCM)及文献中收集DFD的化合物。使用瑞士靶点预测工具(SwissTargetPrediction)探索活性化合物的靶点。同时,从药物银行(DrugBank)、治疗靶点数据库(TTD)、疾病卡片数据库(MalaCards)、TCMSP、疾病基因数据库(DisGeNET)及在线孟德尔人类遗传数据库(OMIM)中收集AF的靶点。然后,使用STRING构建药物-化合物-靶点-疾病(H-C-T-D)网络和蛋白质-蛋白质相互作用(PPI)网络,并使用CytoNCA进行分析。同时,利用VarElect检测靶点与疾病之间的相关性。接下来,使用Metascape对潜在靶点和蛋白质复合物治疗AF的机制进行系统分析。应用自动对接软件Vina、分子可视化软件Pymol和分子模拟软件Discovery Studio进行分子对接。最后,通过分子生物学实验验证主要研究结果。共收集到168种DFD活性化合物和1093个靶点,DFD与AF之间有89个共同靶点。H-C-T-D网络展示了DFD、活性化合物、靶点和AF之间的关系。从PPI网络中提取了DFD的三个功能性蛋白质复合物。进一步的系统分析表明,调节心脏氧化应激、心脏炎症和心脏离子通道是DFD治疗AF的潜在机制。此外,分子对接验证了活性化合物与靶点之间的相互作用。最后,我们发现DFD显著提高了沉默信息调节因子1(SIRT1)的水平,并降低了血管紧张素转换酶(ACE)、血管细胞黏附分子1(VCAM-1)和白细胞介素6(IL-)的水平。DFD可通过复杂机制用于治疗AF,包括相关活性化合物与靶点之间的相互作用,这有助于阐释和理解DFD治疗AF的分子生物学机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c2d/8631917/a283ee9a3ee2/fcvm-08-712398-g0001.jpg

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