基于“成分-疾病-症状-靶标”多维互作网络探析甘草抗COVID-19的潜在作用机制研究

Exploring the Potential Mechanism of Action of Licorice against COVID-19 Based on A Multidimensional Interaction Network of "Component-Disease-Symptom-Target"

  • 摘要:
    目的 通过“成分-疾病-症状-靶标”多维互作网络的构建与分析,探析甘草抗COVID-19的潜在作用机理及关键药效物质。
    方法 基于中医药百科全书数据库ETCM2.0数据库获得甘草成分候选靶标集,依托GeneCards和HPO数据库获得COVID-19疾病症状及相关靶标集;采用String数据库(version 12.0)构建蛋白互作网络,通过计算拓扑特征值和功能富集分析,挖掘其潜在作用机制,结合schrödinger分子对接虚拟筛选,识别其候选药效物质,采用荧光共振能量转移进行实验验证。
    结果 甘草可通过干预冠状病毒病- COVID-19信号通路及Toll样受体、NOD样受体等多条与“免疫-炎症”失衡和信号转导异常相关通路,改善发烧、胸痛等症状。SARS-CoV-2甘草中的异夏佛塔苷、橙皮苷等成分与病毒复制关键酶具有高度结合亲和力。SARS-CoV-2在排除化合物自身荧光干扰的情况下,不同浓度的异夏佛塔苷、橙皮苷、芹糖异甘草苷和维采宁Ⅱ对SARS-CoV-2复制关键酶3CLpro有不同程度的抑制作用。
    结论 通过“成分-疾病-症状-靶标”多维互作网络结合实验验证,初步识别甘草抗COVID-19的关键药效物质,阐释其通过整体调节的作用机理。

     

    Abstract:
    OBJECTIVE To explore the potential mechanisms and bioactive compounds of licorice against COVID-19 based on a multidimensional interaction of "component-disease-symptom-target".
    METHODS Firstly, candidate target sets for licorice components were obtained from the ETCM2.0 database based on the Encyclopedia of Traditional Chinese Medicine, and the disease symptoms and associated target sets for COVID-19 were derived from the GeneCards and HPO databases. And then a protein interaction network was constructed using the String database (version 12.0). By calculating topological eigenvalues and functional enrichment analysis, the potential mechanisms of action were explored. Combined with Schrödinger molecular docking virtual screening, candidate pharmacodynamic substances were identified. Fluorescence resonance energy transfer was used for experimental verification.
    RESULTS Licorice might improve symptoms of COVID-19 (fever, chest pain and so on) by regulating the imbalance of "immune-inflammation" network and signal transduction abnormalities during the development and progress of COVID-19, such as coronavirus disease-COVID-19, Toll-like receptor signaling pathway and NOD-like receptor signaling pathway. The components, such as Isoschaftoside and Hesperidin, were identified to possess high binding affinity with the critical enzymes for viral replication. Isoschaftoside, Hesperidin, Isoliquiritin apioside and Vicenin-2 exhibited varying degrees of inhibition on the enzyme of 3CLpro at different concentrations while excluding the interference of the compounds' fluorescence.
    CONCLUSION Through experimental verification using a multidimensional interaction network of "component-disease-symptom-target", the key pharmacologically active substances of licorice in the fight against COVID-19 are preliminarily identified, and their mechanism of action through overall regulation is elucidated.

     

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