Cargando…
Analysis of mechanisms of Shenhuang Granule in treating severe COVID-19 based on network pharmacology and molecular docking
OBJECTIVE: Severe cases of coronavirus disease 2019 (COVID-19) are expected to have a worse prognosis than mild cases. Shenhuang Granule (SHG) has been shown to be a safe and effective treatment for severe COVID-19 in a previous randomized clinical trial, but the active chemical constituents and und...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shanghai Yueyang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine. Published by Elsevier B.V.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328842/ https://www.ncbi.nlm.nih.gov/pubmed/35934629 http://dx.doi.org/10.1016/j.joim.2022.07.005 |
_version_ | 1784757808214835200 |
---|---|
author | Xu, Xiang-ru Zhang, Wen Wu, Xin-xin Yang, Hong-qiang Sun, Yu-ting Pu, Yu-ting Wang, Bei Peng, Wei Sun, Li-hua Guo, Quan Zhou, Shuang Fang, Bang-jiang |
author_facet | Xu, Xiang-ru Zhang, Wen Wu, Xin-xin Yang, Hong-qiang Sun, Yu-ting Pu, Yu-ting Wang, Bei Peng, Wei Sun, Li-hua Guo, Quan Zhou, Shuang Fang, Bang-jiang |
author_sort | Xu, Xiang-ru |
collection | PubMed |
description | OBJECTIVE: Severe cases of coronavirus disease 2019 (COVID-19) are expected to have a worse prognosis than mild cases. Shenhuang Granule (SHG) has been shown to be a safe and effective treatment for severe COVID-19 in a previous randomized clinical trial, but the active chemical constituents and underlying mechanisms of action remain unknown. The goal of this study is to explore the chemical basis and mechanisms of SHG in the treatment of severe COVID-19, using network pharmacology. METHODS: Ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry was employed to screen chemical constituents of SHG. Putative therapeutic targets were predicted by searching traditional Chinese medicine system pharmacology database and analysis platform, SwissTargetPrediction, and Gene Expression Omnibus (GEO) databases. The target protein–protein interaction network and enrichment analysis were performed to investigate the hub genes and presumptive mechanisms. Molecular docking and molecular dynamics simulations were used to verify the stability and interaction between the key chemical constituents of SHG and COVID-19 protein targets. RESULTS: Forty-five chemical constituents of SHG were identified along with 131 corresponding therapeutic targets, including hub genes such as HSP90AA1, MMP9, CXCL8, PTGS2, IFNG, DNMT1, TYMS, MDM2, HDAC3 and ABCB1. Functional enrichment analysis indicated that SHG mainly acted on the neuroactive ligand-receptor interaction, calcium signaling pathway and cAMP signaling pathway. Molecular docking showed that the key constituents had a good affinity with the severe acute respiratory syndrome coronavirus 2 protein targets. Molecular dynamics simulations indicated that ginsenoside Rg4 formed a stable protein–ligand complex with helicase. CONCLUSION: Multiple components of SHG regulated multiple targets to inhibit virus invasion and cytokine storm through several signaling pathways; this provides a scientific basis for clinical applications and further experiments. |
format | Online Article Text |
id | pubmed-9328842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Shanghai Yueyang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93288422022-07-28 Analysis of mechanisms of Shenhuang Granule in treating severe COVID-19 based on network pharmacology and molecular docking Xu, Xiang-ru Zhang, Wen Wu, Xin-xin Yang, Hong-qiang Sun, Yu-ting Pu, Yu-ting Wang, Bei Peng, Wei Sun, Li-hua Guo, Quan Zhou, Shuang Fang, Bang-jiang J Integr Med Original Research Article OBJECTIVE: Severe cases of coronavirus disease 2019 (COVID-19) are expected to have a worse prognosis than mild cases. Shenhuang Granule (SHG) has been shown to be a safe and effective treatment for severe COVID-19 in a previous randomized clinical trial, but the active chemical constituents and underlying mechanisms of action remain unknown. The goal of this study is to explore the chemical basis and mechanisms of SHG in the treatment of severe COVID-19, using network pharmacology. METHODS: Ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry was employed to screen chemical constituents of SHG. Putative therapeutic targets were predicted by searching traditional Chinese medicine system pharmacology database and analysis platform, SwissTargetPrediction, and Gene Expression Omnibus (GEO) databases. The target protein–protein interaction network and enrichment analysis were performed to investigate the hub genes and presumptive mechanisms. Molecular docking and molecular dynamics simulations were used to verify the stability and interaction between the key chemical constituents of SHG and COVID-19 protein targets. RESULTS: Forty-five chemical constituents of SHG were identified along with 131 corresponding therapeutic targets, including hub genes such as HSP90AA1, MMP9, CXCL8, PTGS2, IFNG, DNMT1, TYMS, MDM2, HDAC3 and ABCB1. Functional enrichment analysis indicated that SHG mainly acted on the neuroactive ligand-receptor interaction, calcium signaling pathway and cAMP signaling pathway. Molecular docking showed that the key constituents had a good affinity with the severe acute respiratory syndrome coronavirus 2 protein targets. Molecular dynamics simulations indicated that ginsenoside Rg4 formed a stable protein–ligand complex with helicase. CONCLUSION: Multiple components of SHG regulated multiple targets to inhibit virus invasion and cytokine storm through several signaling pathways; this provides a scientific basis for clinical applications and further experiments. Shanghai Yueyang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine. Published by Elsevier B.V. 2022-11 2022-07-28 /pmc/articles/PMC9328842/ /pubmed/35934629 http://dx.doi.org/10.1016/j.joim.2022.07.005 Text en © 2022 Shanghai Yueyang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine. Published by Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Original Research Article Xu, Xiang-ru Zhang, Wen Wu, Xin-xin Yang, Hong-qiang Sun, Yu-ting Pu, Yu-ting Wang, Bei Peng, Wei Sun, Li-hua Guo, Quan Zhou, Shuang Fang, Bang-jiang Analysis of mechanisms of Shenhuang Granule in treating severe COVID-19 based on network pharmacology and molecular docking |
title | Analysis of mechanisms of Shenhuang Granule in treating severe COVID-19 based on network pharmacology and molecular docking |
title_full | Analysis of mechanisms of Shenhuang Granule in treating severe COVID-19 based on network pharmacology and molecular docking |
title_fullStr | Analysis of mechanisms of Shenhuang Granule in treating severe COVID-19 based on network pharmacology and molecular docking |
title_full_unstemmed | Analysis of mechanisms of Shenhuang Granule in treating severe COVID-19 based on network pharmacology and molecular docking |
title_short | Analysis of mechanisms of Shenhuang Granule in treating severe COVID-19 based on network pharmacology and molecular docking |
title_sort | analysis of mechanisms of shenhuang granule in treating severe covid-19 based on network pharmacology and molecular docking |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328842/ https://www.ncbi.nlm.nih.gov/pubmed/35934629 http://dx.doi.org/10.1016/j.joim.2022.07.005 |
work_keys_str_mv | AT xuxiangru analysisofmechanismsofshenhuanggranuleintreatingseverecovid19basedonnetworkpharmacologyandmoleculardocking AT zhangwen analysisofmechanismsofshenhuanggranuleintreatingseverecovid19basedonnetworkpharmacologyandmoleculardocking AT wuxinxin analysisofmechanismsofshenhuanggranuleintreatingseverecovid19basedonnetworkpharmacologyandmoleculardocking AT yanghongqiang analysisofmechanismsofshenhuanggranuleintreatingseverecovid19basedonnetworkpharmacologyandmoleculardocking AT sunyuting analysisofmechanismsofshenhuanggranuleintreatingseverecovid19basedonnetworkpharmacologyandmoleculardocking AT puyuting analysisofmechanismsofshenhuanggranuleintreatingseverecovid19basedonnetworkpharmacologyandmoleculardocking AT wangbei analysisofmechanismsofshenhuanggranuleintreatingseverecovid19basedonnetworkpharmacologyandmoleculardocking AT pengwei analysisofmechanismsofshenhuanggranuleintreatingseverecovid19basedonnetworkpharmacologyandmoleculardocking AT sunlihua analysisofmechanismsofshenhuanggranuleintreatingseverecovid19basedonnetworkpharmacologyandmoleculardocking AT guoquan analysisofmechanismsofshenhuanggranuleintreatingseverecovid19basedonnetworkpharmacologyandmoleculardocking AT zhoushuang analysisofmechanismsofshenhuanggranuleintreatingseverecovid19basedonnetworkpharmacologyandmoleculardocking AT fangbangjiang analysisofmechanismsofshenhuanggranuleintreatingseverecovid19basedonnetworkpharmacologyandmoleculardocking |