基于分析网络药理学和分子对接评估绿原酸治疗肺动脉高压的分子机制

Jovito Cesar Santos-Álvarez, Juan Manuel Velázquez-Enríquez, Rafael Baltiérrez-Hoyos
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摘要

背景:肺动脉高压(PAH)是一种严重的疾病,其特点是肺动脉压力增高,可导致心力衰竭和死亡。绿原酸(CGA)是一种天然化合物,存在于多种食物和药用植物中,对多种疾病有治疗作用。然而,它对多环芳烃的潜在治疗作用仍未被揭示。本研究利用网络药理学分析和分子对接研究了 CGA 治疗 PAH 的潜力。方法:CGA 的潜在靶点来自 SwissTargetPrediction 和 GeneCards 数据库。此外,还从 GeneCards 和 DisGNET 数据库中收集了潜在的 PAH 靶点。然后,筛选出共同靶点,并利用 STRING 数据库构建了 CGA 和 PAH 共同靶点之间的蛋白质-蛋白质网络(PPI)。选择共同的枢纽靶标,利用 DAVID 6.8 数据库通过 KEGG 进行 GO 富集分析。此外,还进行了分子对接分析,以研究 CGA 与这些潜在治疗靶点之间的相互作用。结果:我们获得了 168 个与 CGA 相关的潜在靶点和 5779 个与 PAH 相关的潜在靶点。其中,133个靶点同时存在于CGA和PAH中。通过 PPI 网络分析发现的主要枢纽靶点有 TP53、HIF1A、CASP3、IL1B、JUN、MMP9、CCL2、VEGFA、SRC、IKBB、MMP2、CASP8、NOS3、MMP1 和 CASP1。KEGG 通路分析表明,这些枢纽靶点与脂质和动脉粥样硬化、流体剪切应力和动脉粥样硬化以及 IL-17 信号通路有关。此外,分子对接结果表明,CGA 与 15 个 PAH 相关枢纽靶点之间具有很高的结合亲和力,进一步支持了其治疗潜力。结论:本研究提供了 CGA 治疗 PAH 潜在分子机制的初步证据。研究结果表明,CGA可能是开发PAH新药的一个很有前景的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of the Molecular Mechanism of Chlorogenic Acid in the Treatment of Pulmonary Arterial Hypertension Based on Analysis Network Pharmacology and Molecular Docking
Background: Pulmonary arterial hypertension (PAH) is a serious disease characterized by increased pressure in the pulmonary arteries, which can lead to heart failure and death. Chlorogenic acid (CGA) is a natural compound present in several foods and medicinal plants and has been described to exert a therapeutic effect in various diseases. However, its potential therapeutic effect on PAH remains undeciphered. In this study, the potential of CGA for the treatment of PAH was investigated using network pharmacology analysis and molecular docking. Methods: Potential CGA targets were obtained from the SwissTargetPrediction and GeneCards databases. Moreover, potential PAH targets were collected from the GeneCards and DisGNET databases. Then, common targets were selected, and a protein-protein network (PPI) was constructed between common CGA and PAH targets using the STRING database. The common hub targets were selected, and GO enrichment analysis was performed via KEGG using the DAVID 6.8 database. Additionally, molecular docking analysis was performed to investigate the interaction between CGA and these potential therapeutic targets. Results: We obtained 168 potential targets for CGA and 5779 potential targets associated with PAH. Among them, 133 were common to both CGA and PAH. The main hub targets identified through PPI network analysis were TP53, HIF1A, CASP3, IL1B, JUN, MMP9, CCL2, VEGFA, SRC, IKBKB, MMP2, CASP8, NOS3, MMP1, and CASP1. KEGG pathway analysis showed that these hub targets are associated with pathways such as lipid and atherosclerosis, fluid shear stress and atherosclerosis, and the IL-17 signaling pathway. In addition, the molecular docking results showed a high binding affinity between CGA and the 15 hub PAH-associated targets, further supporting its therapeutic potential. Conclusions: This study provides preliminary evidence on the underlying molecular mechanism of CGA in the treatment of PAH. The findings suggest that CGA could be a promising option for the development of new PAH drugs.
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