Research on the Mechanism of Traditional Chinese Medicine Treatment for Diseases caused by Human Coronavirus COVID-19

被引:0
|
作者
Wang, Xian-Fang [1 ,2 ,3 ]
Ma, Chong-Yang [3 ]
Du, Zhi-Yong [4 ]
Liu, Yi-Feng [1 ]
Ma, Shao-Hui [1 ]
Yu, Sang [1 ]
Jin, Rui-xia [3 ]
Wei, Dong-Qing [5 ,6 ,7 ]
机构
[1] Henan Inst Technol, Sch Comp Sci & Technol, Xinxiang, Henan, Peoples R China
[2] Mfg IoT Big Data Engn Technol Res Ctr Henan Prov, Xinxiang 453003, Peoples R China
[3] Xinxiang Med Univ, Sanquan Coll, Sch Intelligent Med Engn, Xinxiang, Henan, Peoples R China
[4] Henan Inst Technol, Sch Intelligent Engn, Xinxiang, Henan, Peoples R China
[5] Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, State Key Lab Microbial Metab, Shanghai 200240, Peoples R China
[6] Shanghai Jiao Tong Univ, Joint Lab Int Cooperat Metab & Dev Sci, Minist Educ, Shanghai 200240, Peoples R China
[7] Zhongjing Res & Industrializat Inst Chinese Med, Zhongguancun Sci Pk, Nayang, Peoples R China
基金
中国国家自然科学基金;
关键词
Target network; PPI network; GO enrichment analysis; KEGG pathway analysis; human coronavirus; traditional chinese medicine; RESPIRATORY SYNDROME CORONAVIRUS; ANTIMICROBIAL ACTIVITIES; RHODIOLA-ROSEA; CLINICAL-TRIAL; ESSENTIAL OIL; SARS-COV; IN-VITRO; EXTRACT; LICORICE; ANTIOXIDANT;
D O I
10.2174/0115748936292599240308102616
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background Human coronaviruses are a large group of viruses that exist widely in nature and multiply through self-replication. Due to its suddenness and variability, it poses a great threat to global human health and is a major problem currently faced by the medical and health fields.Objective COVID-19 is the seventh known coronavirus that can infect humans. The main purpose of this paper is to analyze the effective components and action targets of the Longyi Zhengqi formula and Lianhua Qingwen formula, study their mechanism of action in the treatment of new coronavirus pneumonia (new coronavirus pneumonia), compare the similarities and differences of their pharmacological effects, and obtain the pharmacodynamic mechanism of the two traditional Chinese medicine compounds.Methods Obtain the effective ingredients and targets of Longyi-Zhengqi Formula and Lianhua-Qingwen Formula from ETCM (Encyclopedia of Traditional Chinese Medicine) and other traditional Chinese medicine databases, use GeneCards database to obtain the relevant targets of COVID-19, and use Cytoscape software to build the component COVID-19 target network of Longyi-Zhengqi Formula and the component COVID-19 target network of Lianhua-Qingwen Formula. STRING was used to construct a protein interaction network and screen key targets. GO (Gene Ontology) was used for enrichment analysis and KEGG (Kyoto Encyclopedia of Genes and Genomes) was used for pathways to find out the targets and pathways related to the treatment of COVID-19.Results In the GO enrichment analysis results, there are 106 biological processes, 31 cell localization and 28 molecular functions of the intersection PPI network targets of Longyi-Zhengqi Formula-COVID-19, 224 biological processes, 51 cell localization and 55 molecular functions of the intersection PPI network targets of Lianhua-Qingwen Formula-COVID-19. In the KEGG pathway analysis results, the number of targets of Longyi-Zhengqi Formula on the COVID-19 pathway is 7, and the number of targets of Lianhua-Qingwen Formula on the COVID-19 pathway is 19; In the regulation analysis results, Longyi-Zhengqi Formula achieves the effect of treating COVID-19 by regulating IL-6, and Lianhua-Qingwen Formula achieves the effect of treating pneumonia by regulating TLR4.Conclusion This paper explores the mechanism of action of Longyi-Zhengqi Formula and Lianhua-Qingwen Formula in treating COVID-19 based on the method of network pharmacology, and provides a theoretical basis for traditional Chinese medicine to treat sudden diseases caused by human coronavirus in terms of drug targets and disease interactions. It has certain practical significance.
引用
收藏
页码:87 / 101
页数:15
相关论文
共 50 条
  • [41] Advantages and challenges of Traditional Chinese Medicine in the prevention and treatment of COVID-19
    Huang, Luqi
    CHINESE SCIENCE BULLETIN-CHINESE, 2021, 66 (26): : 3370 - 3371
  • [42] Current status of traditional Chinese medicine for the treatment of COVID-19 in China
    Liang Chu
    Fang Huang
    Mengdan Zhang
    Biao Huang
    Yigang Wang
    Chinese Medicine, 16
  • [43] Becoming a Faithful Defender: Traditional Chinese Medicine against Coronavirus Disease 2019 (COVID-19)
    Zhang, Leyin
    Yu, Jieru
    Zhou, Yiwen
    Shen, Minhe
    Sun, Leitao
    AMERICAN JOURNAL OF CHINESE MEDICINE, 2020, 48 (04): : 763 - 777
  • [44] Traditional Chinese medicine: an important broad-spectrum anti-coronavirus treatment strategy on COVID-19 background?
    Chai, Run-Dong
    Fan, Ya-Dong
    Li, Qi-Yao
    Cui, Huan-Tian
    Liu, Hai-Zhao
    Wang, Ying
    Gong, Bo-Yang
    Han, Lu
    Zhang, Shuai
    Bian, Yu-Hong
    Kang, Jun
    Wang, Yu
    TRADITIONAL MEDICINE RESEARCH, 2022, 7 (03):
  • [45] Application of Traditional Chinese Medicine in Treating COVID-19
    Meng-Cheng Liu
    Hong-Yun Gao
    Chinese Medicine and Culture, 2021, 4 (01) : 46 - 49
  • [46] Progress of Traditional Chinese Medicine Treating COVID-19
    Ming-Xue Li
    Yue-Ying Yang
    Yang Liu
    Meng-Zhu Zheng
    Jun Li
    Li-Xia Chen
    Hua Li
    WorldJournalofTraditionalChineseMedicine, 2021, 7 (02) : 167 - 183
  • [47] Traditional Chinese Medicine as Potential Therapy for COVID-19
    Li, Shuang
    Liu, Chang
    Guo, Fangyue
    Taleb, Sarah J.
    Tong, Mengying
    Shang, Dong
    AMERICAN JOURNAL OF CHINESE MEDICINE, 2020, 48 (06): : 1263 - 1277
  • [48] Progress of traditional chinese medicine treating COVID-19
    Li, Ming-Xue
    Yang, Yue-Ying
    Liu, Yang
    Zheng, Meng-Zhu
    Li, Jun
    Chen, Li-Xia
    Li, Hua
    WORLD JOURNAL OF TRADITIONAL CHINESE MEDICINE, 2021, 7 (02) : 167 - 183
  • [49] Application of network pharmacology in the prevention and treatment of COVID-19 by traditional Chinese medicine
    Li, Zhan
    Liu, Yue
    Li, Hao
    Li, Wang
    Wu, Xiu-Hua
    Li, Zhan-Dong
    TRADITIONAL MEDICINE RESEARCH, 2022, 7 (03):
  • [50] Clinical characteristics and impacts of traditional Chinese medicine treatment on the convalescents of COVID-19
    An, Ya-Wen
    Yuan, Bo
    Wang, Jian-Chun
    Wang, Cheng
    Liu, Ting-Ting
    Song, Shuo
    Liu, Han-Qing
    INTERNATIONAL JOURNAL OF MEDICAL SCIENCES, 2021, 18 (03): : 646 - 651