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Complementary Medicines
Therapeutic Methods and Therapies TCIM
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1.
Comput Math Methods Med ; 2022: 8669993, 2022.
Article in English | MEDLINE | ID: mdl-36345477

ABSTRACT

Objective: Traditional Chinese medicine (TCM) is an important part of the comprehensive treatment of hepatocellular carcinoma (HCC), and Chinese materia medica formulas with the effect of "Yiqi Jianpi" (replenishing qi and strengthening spleen) or "Jiedu" (removing toxicity) have been proved to be effective in treating HCC. However, mechanisms of these formulas in treating HCC remain unclear. In this paper, our goal is to explore the antitumor activity and its molecular mechanisms of Yiqi Jianpi Jiedu (YQJPJD) formula against HCC. Methods: The bioactive ingredients and targets of YQJPJD formula and HCC targets were screened by five Chinese materia medicas and two disease databases, respectively. The network pharmacology was utilized to construct the relationship network between YQJPJD formula and HCC, and the mechanisms were predicted by the protein-protein interaction (PPI) network, pathway enrichment analysis, bioinformatics, and molecular docking. Numerous in vitro assays were performed to verify the effect of YQJPJD formula on HCC cells, cancer-associated targets, and PI3K/Akt pathway. Results: The network relationship between YQJPJD formula and HCC suggested that YQJPJD formula mainly regulated the potential therapeutic targets of HCC by several key bioactive ingredients (e.g., quercetin, luteolin, baicalein, and wogonin). PPI network, bioinformatics, and molecular docking analyses displayed that YQJPJD formula may play an anti-HCC effect through key targets such as MAPK3, RAC1, and RHOA. Additionally, pathway analysis demonstrated that YQJPJD formula could play an anti-HCC effect via multiple pathways (e.g., PI3K-Akt and hepatitis B). Experimental results showed that YQJPJD formula could effectively inhibit the proliferation, migration, and invasion of HCC cells and promote HCC cell apoptosis in a concentration-dependent manner. Moreover, YQJPJD formula could decrease the mRNA expression of ß-catenin, MAPK3, and RHOA and the protein expression of phosphorylated PI3K and Akt. Conclusion: YQJPJD formula mainly exerts its anti-HCC effect through multiple bioactive ingredients represented by quercetin, as well as multiple pathways and targets represented by PI3K/Akt pathway, ß-catenin, MAPK3, and RHOA.


Subject(s)
Carcinoma, Hepatocellular , Drugs, Chinese Herbal , Liver Neoplasms , Humans , Carcinoma, Hepatocellular/drug therapy , Carcinoma, Hepatocellular/genetics , Medicine, Chinese Traditional , beta Catenin/therapeutic use , Liver Neoplasms/drug therapy , Liver Neoplasms/pathology , Molecular Docking Simulation , Quercetin , Phosphatidylinositol 3-Kinases , Proto-Oncogene Proteins c-akt , Drugs, Chinese Herbal/pharmacology , Drugs, Chinese Herbal/therapeutic use
2.
Biomed Res Int ; 2020: 5891016, 2020.
Article in English | MEDLINE | ID: mdl-33145355

ABSTRACT

BACKGROUND: Kaempferol is a natural polyphenol in lots of Chinese herbs, which has shown promising treatment for gastric cancer (GC). However, the molecular mechanisms of its action have not been systematically revealed yet. In this work, a network pharmacology approach was used to elucidate the potential mechanisms of kaempferol in the treatment of GC. METHODS: The kaempferol was input into the PharmMapper and SwissTargetPrediction database to get its targets, and the targets of GC were obtained by retrieving the Online Mendelian Inheritance in Man (OMIM) database, MalaCards database, Therapeutic Target Database (TTD), and Coolgen database. The molecular docking was performed to assess the interactions between kaempferol and these targets. Next, the overlap targets of kaempferol and GC were identified for GO and KEGG enrichment analyses. Afterward, a protein-protein interaction (PPI) network was constructed to get the hub targets, and the expression and overall survival analysis of the hub target were investigated. Finally, the overall survival (OS) analysis of hub targets was performed using the Kaplan-Meier Plotter online tool. RESULTS: A total of 990 genes related to GC and 10 overlapping genes were determined through matching the 24 potential targets of kaempferol with disease-associated genes. The result of molecular docking indicated that kaempferol can bind with these hub targets with good binding scores. These targets were further mapped to 140 GO biological process terms and 11 remarkable pathways. In the PPI network analysis, 3 key targets were identified, including ESR1, EGFR, and SRC. The mRNA and protein expression levels of EGFR and SRC were obviously higher in GC tissues. High expression of these targets was related to poor OS in GC patients. CONCLUSIONS: This study provided a novel approach to reveal the therapeutic mechanisms of kaempferol on GC, which will ease the future clinical application of kaempferol in the treatment of GC.


Subject(s)
Adenocarcinoma/drug therapy , Antineoplastic Agents, Phytogenic/pharmacology , Estrogen Receptor alpha/antagonists & inhibitors , Kaempferols/pharmacology , Neoplasm Proteins/antagonists & inhibitors , Stomach Neoplasms/drug therapy , src-Family Kinases/antagonists & inhibitors , Adenocarcinoma/genetics , Adenocarcinoma/mortality , Adenocarcinoma/pathology , Aged , Binding Sites , Drugs, Chinese Herbal , ErbB Receptors/antagonists & inhibitors , ErbB Receptors/chemistry , ErbB Receptors/genetics , ErbB Receptors/metabolism , Estrogen Receptor alpha/chemistry , Estrogen Receptor alpha/genetics , Estrogen Receptor alpha/metabolism , Female , Gene Expression Profiling , Gene Expression Regulation, Neoplastic , Humans , Male , Middle Aged , Molecular Docking Simulation , Molecular Targeted Therapy/methods , Neoplasm Proteins/chemistry , Neoplasm Proteins/genetics , Neoplasm Proteins/metabolism , Pharmacogenetics , Protein Binding , Protein Conformation, alpha-Helical , Protein Conformation, beta-Strand , Protein Interaction Domains and Motifs , Protein Interaction Maps , Stomach Neoplasms/genetics , Stomach Neoplasms/mortality , Stomach Neoplasms/pathology , Survival Analysis , src-Family Kinases/chemistry , src-Family Kinases/genetics , src-Family Kinases/metabolism
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