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Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of Huang–Qi–Gui–Zhi–Wu–Wu decoction against deep vein thrombosis

BACKGROUND: Huangqi Guizhi Wuwu decoction (HQGZWWD) has been used to treat and prevent deep vein thrombosis (DVT) in China. However, its potential mechanisms of action remain unclear. This study aimed to utilize network pharmacology and molecular docking technology to elucidate the molecular mechani...

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Autores principales: Fan, Wei, Lan, Shuangli, Yang, Yunkang, Liang, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314554/
https://www.ncbi.nlm.nih.gov/pubmed/37391801
http://dx.doi.org/10.1186/s13018-023-03948-6
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author Fan, Wei
Lan, Shuangli
Yang, Yunkang
Liang, Jie
author_facet Fan, Wei
Lan, Shuangli
Yang, Yunkang
Liang, Jie
author_sort Fan, Wei
collection PubMed
description BACKGROUND: Huangqi Guizhi Wuwu decoction (HQGZWWD) has been used to treat and prevent deep vein thrombosis (DVT) in China. However, its potential mechanisms of action remain unclear. This study aimed to utilize network pharmacology and molecular docking technology to elucidate the molecular mechanisms of action of HQGZWWD in DVT. METHODS: We identified the main chemical components of HQGZWWD by reviewing the literature and using a Traditional Chinese Medicine Systems Pharmacology (TCMSP) database. We used GeneCards and Online Mendelian Inheritance in Man databases to identify the targets of DVT. Herb-disease-gene-target networks using Cytascape 3.8.2 software; a protein–protein interaction (PPI) network was constructed by combining drug and disease targets on the STRING platform. Additionally, we conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Finally, molecular docking verification of active components and core protein targets was conducted. RESULTS: A total of 64 potential targets related to DVT were identified in HQGZWWD, with 41 active components; quercetin, kaempferol, and beta-sitosterol were the most effective compounds. The PPI network analysis revealed that AKT1, IL1B, and IL6 were the most abundant proteins with the highest degree. GO analysis indicated that DVT treatment with HQGZWWD could involve the response to inorganic substances, positive regulation of phosphorylation, plasma membrane protein complexes, and signaling receptor regulator activity. KEGG analysis revealed that the signaling pathways included pathways in cancer, lipid and atherosclerosis, fluid shear stress and atherosclerosis, and the phosphatidylinositol 3-kinases/protein kinase B(PI3K-Akt) and mitogen-activated protein kinase (MAPK) signaling pathways. The molecular docking results indicated that quercetin, kaempferol, and beta-sitosterol exhibited strong binding affinities for AKT1, IL1B, and IL6. CONCLUSION: Our study suggests that AKT1, IL1B, and IL6 are promising targets for treating DVT with HQGZWWD. The active components of HQGZWWD likely responsible for its effectiveness against DVT are quercetin, kaempferol, and beta-sitosterol, they may inhibit platelet activation and endothelial cell apoptosis by regulating the PI3K/Akt and MAPK signaling pathways, slowing the progression of DVT. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13018-023-03948-6.
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spelling pubmed-103145542023-07-02 Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of Huang–Qi–Gui–Zhi–Wu–Wu decoction against deep vein thrombosis Fan, Wei Lan, Shuangli Yang, Yunkang Liang, Jie J Orthop Surg Res Research Article BACKGROUND: Huangqi Guizhi Wuwu decoction (HQGZWWD) has been used to treat and prevent deep vein thrombosis (DVT) in China. However, its potential mechanisms of action remain unclear. This study aimed to utilize network pharmacology and molecular docking technology to elucidate the molecular mechanisms of action of HQGZWWD in DVT. METHODS: We identified the main chemical components of HQGZWWD by reviewing the literature and using a Traditional Chinese Medicine Systems Pharmacology (TCMSP) database. We used GeneCards and Online Mendelian Inheritance in Man databases to identify the targets of DVT. Herb-disease-gene-target networks using Cytascape 3.8.2 software; a protein–protein interaction (PPI) network was constructed by combining drug and disease targets on the STRING platform. Additionally, we conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Finally, molecular docking verification of active components and core protein targets was conducted. RESULTS: A total of 64 potential targets related to DVT were identified in HQGZWWD, with 41 active components; quercetin, kaempferol, and beta-sitosterol were the most effective compounds. The PPI network analysis revealed that AKT1, IL1B, and IL6 were the most abundant proteins with the highest degree. GO analysis indicated that DVT treatment with HQGZWWD could involve the response to inorganic substances, positive regulation of phosphorylation, plasma membrane protein complexes, and signaling receptor regulator activity. KEGG analysis revealed that the signaling pathways included pathways in cancer, lipid and atherosclerosis, fluid shear stress and atherosclerosis, and the phosphatidylinositol 3-kinases/protein kinase B(PI3K-Akt) and mitogen-activated protein kinase (MAPK) signaling pathways. The molecular docking results indicated that quercetin, kaempferol, and beta-sitosterol exhibited strong binding affinities for AKT1, IL1B, and IL6. CONCLUSION: Our study suggests that AKT1, IL1B, and IL6 are promising targets for treating DVT with HQGZWWD. The active components of HQGZWWD likely responsible for its effectiveness against DVT are quercetin, kaempferol, and beta-sitosterol, they may inhibit platelet activation and endothelial cell apoptosis by regulating the PI3K/Akt and MAPK signaling pathways, slowing the progression of DVT. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13018-023-03948-6. BioMed Central 2023-06-30 /pmc/articles/PMC10314554/ /pubmed/37391801 http://dx.doi.org/10.1186/s13018-023-03948-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Fan, Wei
Lan, Shuangli
Yang, Yunkang
Liang, Jie
Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of Huang–Qi–Gui–Zhi–Wu–Wu decoction against deep vein thrombosis
title Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of Huang–Qi–Gui–Zhi–Wu–Wu decoction against deep vein thrombosis
title_full Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of Huang–Qi–Gui–Zhi–Wu–Wu decoction against deep vein thrombosis
title_fullStr Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of Huang–Qi–Gui–Zhi–Wu–Wu decoction against deep vein thrombosis
title_full_unstemmed Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of Huang–Qi–Gui–Zhi–Wu–Wu decoction against deep vein thrombosis
title_short Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of Huang–Qi–Gui–Zhi–Wu–Wu decoction against deep vein thrombosis
title_sort network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of huang–qi–gui–zhi–wu–wu decoction against deep vein thrombosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314554/
https://www.ncbi.nlm.nih.gov/pubmed/37391801
http://dx.doi.org/10.1186/s13018-023-03948-6
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