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Anti-Respiratory Syncytial Virus Mechanism of Houttuynia cordata Thunb Exploration based on Network Pharmacology

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出版社

BENTHAM SCIENCE PUBL LTD
DOI: 10.2174/1386207323999200918123631

关键词

Network pharmacology; bioinformatics; respiratory syncytial virus; H; cordata Thunb; traditional chinese medicine

资金

  1. Major Science and Technology Innovation Projects of Shandong Province [2018CXGC1310]
  2. Shandong Key Research and Development Plan [2017CXGC1306, 2016ZDJS07A23, 2016GSF2020420]
  3. Natural Foundation of Shandong Province [ZR2015HM061, ZR2019MH134]
  4. Distinguished Experts of Taishan Scholar Project [ts201511074]
  5. Collaborative Innovation Center Project of quality Control of traditional Chinese Medicine and Construction of whole Industry chain in Colleges and Universities of Shandong Province [CYLXTCX2020-04]
  6. Special project for prevention and control of pneumonia caused by novel coronavirus in Jinan [202001006]
  7. National training Program for innovative backbone talents of traditional Chinese Medicine

向作者/读者索取更多资源

This study investigated the anti-RSV mechanism of Houttuynia cordata Thunb using network pharmacology and bioinformatics, identifying potentially active compounds, targets, and pathways. The results suggest that H. cordata Thunb exerts its anti-RSV effect by regulating several key signaling pathways.
Background and Objective: Respiratory Syncytial Virus (RSV) is the leading cause of infant lower respiratory tract infections with no mature vaccines and medicines available. Pneumo-nia caused by RSV kills many infants every year. There are unique advantages of Traditional Chi-nese Medicine (TCM) to fight against the virus. Houttuynia cordata Thunb is a commonly used an-tivirus medicine in TCM, but its mechanism has not been investigated. The current study explores the anti-RSV mechanism ofH. cordata Thunb by means of network pharmacology and bioinfor-matics. Methods: The candidate compounds ofH. cordata Thunb and the potential targets were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), PubMed, CNKI, PubChem Database, and Swiss Target Prediction database. Then the potential targets and pathways ofH. cordata Thunb against RSV were screened by GeneCards, GenCLiP 3, and NCBI Database. We developed a Protein-Protein Interactions (PPI) Network and Compound-Target-Pathway Network through the Cytoscape software. Furthermore, core targets were preliminary verified by Gene Expression Omnibus (GEO) database by bioinformatics meth-ods. At last, the first six pathways were screened out to draw a map of the main target signal path-ways. Results: A total of 12 potentially active compounds and 47 potential interaction targets were screened. PPI Network and data from GEO showed that IL-6, STAT3, TNF, AKT1, PTGS2, SRC, and MAPK3 may play a core role in the antivirus process. KEGG enrichment pathway analysis pre-dicted that H. cordata Thunb exerted its anti-RSV effect by regulating TNF, Rap1, HIF-1, PI3K-Akt, MAPK, and VEGF signaling pathways. Conclusion: This study preliminarily predicted the main active compounds, targets and related pathways of H. cordata Thunb in the treatment of RSV-induced diseases, which laid a good founda-tion for further revealing its mechanism.

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