Matches in SemOpenAlex for { <https://semopenalex.org/work/W4382775653> ?p ?o ?g. }
- W4382775653 abstract "Abstract 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." @default.
- W4382775653 created "2023-07-02" @default.
- W4382775653 creator A5023885863 @default.
- W4382775653 creator A5037948700 @default.
- W4382775653 creator A5038836690 @default.
- W4382775653 creator A5081679807 @default.
- W4382775653 date "2023-06-30" @default.
- W4382775653 modified "2023-10-18" @default.
- W4382775653 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" @default.
- W4382775653 cites W1530165148 @default.
- W4382775653 cites W1547736903 @default.
- W4382775653 cites W1887749119 @default.
- W4382775653 cites W1964305994 @default.
- W4382775653 cites W1987612487 @default.
- W4382775653 cites W1992502894 @default.
- W4382775653 cites W2020084080 @default.
- W4382775653 cites W2033591223 @default.
- W4382775653 cites W2046703915 @default.
- W4382775653 cites W2053998619 @default.
- W4382775653 cites W2063458984 @default.
- W4382775653 cites W2070603512 @default.
- W4382775653 cites W2079031049 @default.
- W4382775653 cites W2080791679 @default.
- W4382775653 cites W2081139146 @default.
- W4382775653 cites W2084472730 @default.
- W4382775653 cites W2084621368 @default.
- W4382775653 cites W2103435839 @default.
- W4382775653 cites W2113934014 @default.
- W4382775653 cites W2114343213 @default.
- W4382775653 cites W2125139860 @default.
- W4382775653 cites W2136850043 @default.
- W4382775653 cites W2156593520 @default.
- W4382775653 cites W2160310346 @default.
- W4382775653 cites W2162151166 @default.
- W4382775653 cites W2213344075 @default.
- W4382775653 cites W2295588659 @default.
- W4382775653 cites W2316376271 @default.
- W4382775653 cites W2349457619 @default.
- W4382775653 cites W2461065450 @default.
- W4382775653 cites W2466838272 @default.
- W4382775653 cites W2523355884 @default.
- W4382775653 cites W2560542209 @default.
- W4382775653 cites W2582097700 @default.
- W4382775653 cites W2607053844 @default.
- W4382775653 cites W2764065045 @default.
- W4382775653 cites W2765749162 @default.
- W4382775653 cites W2767604253 @default.
- W4382775653 cites W2790131754 @default.
- W4382775653 cites W2794065164 @default.
- W4382775653 cites W2797883325 @default.
- W4382775653 cites W2805752594 @default.
- W4382775653 cites W2808532182 @default.
- W4382775653 cites W2899597545 @default.
- W4382775653 cites W2900569176 @default.
- W4382775653 cites W2904478655 @default.
- W4382775653 cites W2928665623 @default.
- W4382775653 cites W2936366881 @default.
- W4382775653 cites W2950292113 @default.
- W4382775653 cites W2955896228 @default.
- W4382775653 cites W2994425783 @default.
- W4382775653 cites W2996192796 @default.
- W4382775653 cites W2996478167 @default.
- W4382775653 cites W3021088083 @default.
- W4382775653 cites W3041517935 @default.
- W4382775653 cites W3044529995 @default.
- W4382775653 cites W3089682091 @default.
- W4382775653 cites W3091993750 @default.
- W4382775653 cites W3095849807 @default.
- W4382775653 cites W3104537585 @default.
- W4382775653 cites W3115989079 @default.
- W4382775653 cites W3122547302 @default.
- W4382775653 cites W3134575384 @default.
- W4382775653 cites W3138243483 @default.
- W4382775653 cites W3160691741 @default.
- W4382775653 cites W3200353565 @default.
- W4382775653 cites W3201055981 @default.
- W4382775653 cites W3205505217 @default.
- W4382775653 cites W3211118329 @default.
- W4382775653 cites W4210904483 @default.
- W4382775653 cites W4220837694 @default.
- W4382775653 cites W4220847094 @default.
- W4382775653 cites W4220989375 @default.
- W4382775653 cites W4229007248 @default.
- W4382775653 cites W4280527177 @default.
- W4382775653 cites W4283270353 @default.
- W4382775653 cites W4283574965 @default.
- W4382775653 cites W4283710007 @default.
- W4382775653 cites W4286268170 @default.
- W4382775653 cites W4298126279 @default.
- W4382775653 cites W4309988263 @default.
- W4382775653 cites W4310961351 @default.
- W4382775653 cites W4313509721 @default.
- W4382775653 cites W4362704330 @default.
- W4382775653 cites W590922583 @default.
- W4382775653 doi "https://doi.org/10.1186/s13018-023-03948-6" @default.
- W4382775653 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37391801" @default.
- W4382775653 hasPublicationYear "2023" @default.
- W4382775653 type Work @default.
- W4382775653 citedByCount "2" @default.
- W4382775653 crossrefType "journal-article" @default.