Network pharmacology and molecular docking analysis reveals the mechanism of asiaticoside on COVID-19

被引:7
|
作者
Huang, Jia [1 ,2 ]
Zhou, Xiaobo [1 ]
Gong, Yiyi [2 ]
Chen, Jun [1 ]
Yang, Yali [1 ]
Liu, Ke [1 ]
机构
[1] Shanghai Jiao Tong Univ, Shanghai Peoples Hosp 9, Sch Med, Dept Dermatol, 639 Zhizaoju Rd, Shanghai 200011, Peoples R China
[2] Fudan Univ, Huashan Hosp, Sch Med, Dept Dermatol, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Coronavirus disease 2019 (COVID-19); asiaticoside (AS); network pharmacology; molecular docking; P38; MAPK; CORONAVIRUS;
D O I
10.21037/atm-22-51
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Asiaticoside (AS) is a saponin extracted from the traditional Chinese herbal medicine Centella Asiatica, which has the effects of reducing inflammatory infiltration and anti-oxidation in pneumonia and combating pulmonary fibrosis. We hypothesize that AS might have therapeutic potential for the treatment of the coronavirus disease 2019 (COVID-19). With the help of network pharmacology and molecular docking techniques, this study discussed the underlying molecular mechanism of AS in the treatment of COVID-19. Methods: The molecular structure of AS was obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) system. The targets of AS were achieved using PharmMapper, SwissTargetPrediction, and the Comparative Toxicogenomics Database (CTD). The targets corresponding to COVID-19 were obtained using GeneCards, Online Mendelian Inheritance in Man (OMIM), and CTD database. Then, a target protein-protein interaction (PPI) network was formed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database. A network of AS, COVID-19, and their co-targets was built using Cytoscape. Afterwards, the co-targets were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. Moreover, the predictions of crucial targets were further investigated by performing molecular docking with AS. Results: A total of 45 core targets of AS were found to be engaged in the pathogenesis of COVID-19. The KEGG enrichment analysis indicated that AS might be protective against COVID-19 through inflammationand immune-related signaling pathways, including interleukin-17 (IL-17) signaling, T helper 17 (Th17) cell differentiation pathway, Coronavirus disease-COVID-19, MAPK, the PI3K-Akt signaling pathway, and so on. The results of molecular docking showed that AS had a high affinity with those core targets. Conclusions: The beneficial effect of AS on COVID-19 might be through regulating multiple immune or inflammation-related targets and signaling pathways.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Network pharmacology-based analysis reveals the putative action mechanism of polygonum cuspidatum against COVID-19
    Zhao, Jun
    Pan, Boyu
    Xia, Yafei
    Liu, Liren
    INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 2021, 14 (05): : 1852 - +
  • [42] Dissecting the molecular mechanism of cepharanthine against COVID-19 based on a network pharmacology strategy combined with RNA-sequencing analysis, molecular docking, and molecular dynamics simulation
    Liu, Jiaqin
    Sun, Taoli
    Liu, Sa
    Liu, Jian
    Fang, Senbiao
    Tan, Shengyu
    Zeng, Yucheng
    Zhang, Bikui
    Li, Wenqun
    COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 151
  • [43] Network Pharmacology, Molecular Docking and Molecular Dynamics Simulation Studies of the Molecular Targets and Mechanisms of ChuanKeZhi in the Treatment of COVID-19
    Yuan, Jiaying
    Zhu, Yiqing
    Zhao, Jiayi
    Li, Li
    Zhu, Chengjie
    Chen, Mingxia
    Zhang, Yi
    Shang, Yan
    NATURAL PRODUCT COMMUNICATIONS, 2022, 17 (08)
  • [44] Exploring potential mechanisms of Suhexiang Pill against COVID-19 based on network pharmacology and molecular docking
    Li, Jialin
    Huang, Zhihong
    Lu, Shan
    Luo, Hua
    Tan, Yingying
    Ye, Peizhi
    Liu, Xinkui
    Wu, Zhishan
    Wu, Chao
    Stalin, Antony
    Wang, Haojia
    Liu, Yingying
    Shen, Liangliang
    Fan, Xiaotian
    Zhang, Bei
    Yi, Jianping
    Yao, Lu
    Xu, Yi
    Wu, Jiarui
    Duan, Xianchun
    MEDICINE, 2021, 100 (51) : E27112
  • [45] Repurposing Ayush-64 for COVID-19: A Computational Study Based on Network Pharmacology and Molecular Docking
    Mahija, K. C.
    Nazeer, Abdul K. A.
    COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2022, 25 (12) : 2089 - 2102
  • [46] STUDY ON MECHANISM OF FANGYI QINGFEI DECOCTION AGAINST COVID-19 ASSOCIATED LUNG AND KIDNEY INJURY BASED ON NETWORK PHARMACOLOGY AND MOLECULAR DOCKING
    Zuo, Zhi
    Liao, Kai
    Liu, Huailian
    Yu, Ran
    Chen, Haiqing
    Wang, Wanpeng
    ACTA MEDICA MEDITERRANEA, 2021, 37 (04): : 1969 - 1978
  • [47] Mechanism of Compound Houttuynia Mixture as an Anti-COVID-19 Drug Based on Network Pharmacology and Molecular Docking
    Wu, Xing-Pan
    Wang, Tian-Shun
    Yuan, Zin-Xin
    Yang, Yan-Fang
    Wu, He-Zhen
    NATURAL PRODUCT COMMUNICATIONS, 2021, 16 (05)
  • [48] Mechanism of Huo-Xiang-Zheng-Qi in Preventing and Treating COVID-19: A Study Based on Network Pharmacology and Molecular Docking Techniques
    Li, De-hui
    Wu, Lei
    Chen, Fen-qiao
    Liu, Xu-kuo
    Mei, Jian-qiang
    NATURAL PRODUCT COMMUNICATIONS, 2022, 17 (07)
  • [49] Integrated network pharmacology analysis, molecular docking, LC-MS analysis and bioassays revealed the potential active ingredients and underlying mechanism of Scutellariae radix for COVID-19
    Liu, Jiazheng
    Meng, Jieru
    Li, Runfeng
    Jiang, Haiming
    Fu, Lu
    Xu, Ting
    Zhu, Guo-Yuan
    Zhang, Wei
    Gao, Jin
    Jiang, Zhi-Hong
    Yang, Zi-Feng
    Bai, Li-Ping
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [50] Prediction the Molecular Mechanism of Shengmai Injection in Acute Treatment of COVID-19 Based on Network Pharmacology
    Wang, Chen
    Liu, Ao-lei
    Wu, He-zhen
    Yang, Yan-fang
    NATURAL PRODUCT COMMUNICATIONS, 2022, 17 (02)