Current Computer - Aided Drug Design - Online First
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Exploring the Mechanism of Centipeda minima in Treating Nasopharyngeal Carcinoma Based on Network Pharmacology
Authors: Can Huang, Xiaolin Liu, Weimo Wang and Zhen GuoAvailable online: 14 October 2024More LessBackgroundCentipeda minima (CM) is a traditional Chinese herbal medicine used for the treatment of sinusitis and rhinitis, and it possesses anti-cancer properties. However, the mechanism of CM in the treatment of nasopharyngeal carcinoma (NPC) remains unclear.
ObjectiveThis study aimed to explore the mechanism of CM in the treatment of NPC using a network pharmacology approach.
MethodsThe active components and targets of CM and NPC were screened using TCMSP, SwissTarget, and GeneCards database. The association between CM components and NPC targets or pathways was analyzed using String, Cytoscape 3.9.1, David 6.7, and AutoDock Vina. The Sangerbox platform was used to conduct differential expression and Kaplan-Meier survival analysis of core genes.
ResultsWe identified 17 active compounds of CM and 146 corresponding targeted proteins in NPC. These targets may modulate pathways in cancer, PI3K-Akt, apoptosis, prolactin, relaxin, and TNF signaling. The top 5 core genes of the PPI network were found to be AKT1, STAT3, CASP3, EGFR, and SRC, which may be the main targets of CM in treating NPC. Molecular docking confirmed the binding energies of quercetin with CASP3, 8-Hydroxy-9,10-diisobutyryloxythymol with AKT1, and plenolin with AKT1, which were particularly low, suggesting robust and stable interactions. The expression levels of AKT1, CASP3, EGFR, SRC, MMP9, CCND1, and PTGS2 were significantly higher in head and neck squamous cell carcinoma (HNSC) samples compared to normal samples. In addition, the hub genes could predict the prognosis of HNSC as the Kaplan-Meier survival curve showed that patients with lower expressions of AKT1, STAT3, CASP3, EGFR, MMP9, ESR1, PTGS2, and PPARG had better overall survival.
ConclusionBy conducting a network pharmacology approach, we revealed the main ingredients, key targets, and regulatory pathways of Centipeda minima in the treatment of NPC.
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Exploring the Potential Mechanisms of Danshen for the Treatment of Ulcerative Colitis based on Serum Pharmacochemistry, Gene Expression Profiling, and Network Pharmacology: Regulation of Cell Apoptosis and Inflammatory Response
Authors: Run-Xiang Zhai, Meng-Yu Wang, Hai-Tao Du, Chun-Xiao Yan, Zi-Wei Li, Kuo Xu, Hui Li, Xian-Jun Fu and Xia RenAvailable online: 10 October 2024More LessBackgroundAs a traditional Chinese medicine, Danshen shows potential efficacy for treating ulcerative colitis (UC). However, the bioactive components and mode of action were unclear.
Aim of this StudyThis paper uses a combination of network pharmacology, serum medicinal chemistry, and gene expression profiling to clarify its possible molecular mechanism of action and material basis.
MethodsUltra-high performance liquid chromatography-mass spectrometry (UPLC-MS) was utilized to analyze the herbal components and metabolites from the serum of Danshen-treated mice. Gene expression profiles were applied to construct a database of Danshen action targets. Then, active ingredient-target-biological functional module networks were constructed to analyze the mechanism of action. Molecular docking has further confirmed the possibility of its components to the targets.
ResultsAs a result, 193 common targets between 1684 Danshen-related DEGs and 1492 UC targets were determined as the potential targets for Danshen in treatment with UC. Serum pharmacochemistry and target prediction showed that 22 components in serum acted on 777 targets. Intersection with common targets yielded 46 core targets, and an active ingredient-target-biological functional module network was constructed for analysis. Network prediction and molecular docking results showed that the main action modules were inflammatory response and cell apoptosis, which mainly acted on targets SRC, RELA, HSP90AA1, CTNNB1, STAT3, and CASP3. The main components of Danshen intervention in UC were predicted to include Catechol, 3,9-Dimethoxypterocarpan, 8-Prenylnaringenin, Isoferulic acid, Salvianolic acid C, and Danshensu.
ConclusionThe present study provides a scientific foundation for further explicating the mechanisms of Danshen against UC.
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