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基于网络药理学探索麻黄-苦杏仁防治新型冠状病毒肺炎(COVID-19)的活性成分及作用机制

Exploring active ingredients and function mechanisms of Ephedra-bitter almond for prevention and treatment of Corona virus disease 2019 (COVID-19) based on network pharmacology.

作者信息

Gao Kai, Song Yan-Ping, Song Anna

机构信息

Pharmacy College, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China.

Shaanxi Academy of Traditional Chinese Medicine, Xi'an, Shaanxi, China.

出版信息

BioData Min. 2020 Nov 10;13(1):19. doi: 10.1186/s13040-020-00229-4.

Abstract

BACKGROUND

COVID-19 has caused a global pandemic, and there is no wonder drug for epidemic control at present. However, many clinical practices have shown that traditional Chinese medicine has played an important role in treating the outbreak. Among them, ephedra-bitter almond is a common couplet medicine in anti-COVID-19 prescriptions. This study aims to conduct an exploration of key components and mechanisms of ephedra-bitter almond anti-COVID-19 based on network pharmacology.

MATERIAL AND METHODS

We collected and screened potential active components of ephedra-bitter almond based on the TCMSP Database, and we predicted targets of the components. Meanwhile, we collected relevant targets of COVID-19 through the GeneCards and CTD databases. Then, the potential targets of ephedra-bitter almond against COVID-19 were screened out. The key components, targets, biological processes, and pathways of ephedra-bitter almond anti-COVID-19 were predicted by constructing the relationship network of herb-component-target (H-C-T), protein-protein interaction (PPI), and functional enrichment. Finally, the key components and targets were docked by AutoDock Vina to explore their binding mode.

RESULTS

Ephedra-bitter almond played an overall regulatory role in anti-COVID-19 via the patterns of multi-component-target-pathway. In addition, some key components of ephedra-bitter almond, such as β-sitosterol, estrone, and stigmasterol, had high binding activity to 3CL and ACE2 by molecular docking simulation, which provided new molecular structures for new drug development of COVID-19.

CONCLUSION

Ephedra-bitter almonds were used to prevent and treat COVID-19 through directly inhibiting the virus, regulating immune responses, and promoting body repair. However, this work is a prospective study based on data mining, and the findings need to be interpreted with caution.

摘要

背景

新型冠状病毒肺炎已引发全球大流行,目前尚无控制疫情的特效药。然而,众多临床实践表明,中药在此次疫情治疗中发挥了重要作用。其中,麻黄-苦杏仁是抗新型冠状病毒肺炎方剂中常用的药对。本研究旨在基于网络药理学对麻黄-苦杏仁抗新型冠状病毒肺炎的关键成分及作用机制进行探索。

材料与方法

基于中药系统药理学数据库与分析平台(TCMSP)数据库收集并筛选麻黄-苦杏仁的潜在活性成分,并预测这些成分的靶点。同时,通过基因卡片(GeneCards)和比较毒理基因组学数据库(CTD)收集新型冠状病毒肺炎的相关靶点。然后,筛选出麻黄-苦杏仁抗新型冠状病毒肺炎的潜在靶点。通过构建中药-成分-靶点(H-C-T)关系网络、蛋白质-蛋白质相互作用(PPI)网络及功能富集分析,预测麻黄-苦杏仁抗新型冠状病毒肺炎的关键成分、靶点、生物学过程及信号通路。最后,利用自动对接软件(AutoDock Vina)对关键成分与靶点进行对接,探究其结合模式。

结果

麻黄-苦杏仁通过多成分-多靶点-多通路模式对新型冠状病毒肺炎发挥整体调节作用。此外,麻黄-苦杏仁的一些关键成分,如β-谷甾醇、雌酮和豆甾醇,通过分子对接模拟显示对3CL蛋白酶和血管紧张素转换酶2(ACE2)具有较高的结合活性,为新型冠状病毒肺炎新药研发提供了新的分子结构依据。

结论

麻黄-苦杏仁可通过直接抑制病毒、调节免疫反应及促进机体修复来防治新型冠状病毒肺炎。然而,本研究是基于数据挖掘的前瞻性研究,研究结果需谨慎解读。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8121/7654048/19a0b402133d/13040_2020_229_Fig1_HTML.jpg

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