Academic Journal
Network Pharmacology and Molecular Docking on the Molecular Mechanism of Jiawei-Huang Lian-Gan Jiang Decoction in the Treatment of Colorectal Adenomas
| العنوان: | Network Pharmacology and Molecular Docking on the Molecular Mechanism of Jiawei-Huang Lian-Gan Jiang Decoction in the Treatment of Colorectal Adenomas |
|---|---|
| المؤلفون: | Shuangshuang Ji, Sidan Long, Yang Yang, Zihao Liu, Rui Wang, Huifen Zhang, Shuxin Zhang |
| المصدر: | Evidence-Based Complementary and Alternative Medicine, Vol 2022 (2022) |
| بيانات النشر: | Hindawi Limited |
| سنة النشر: | 2022 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | Other systems of medicine, RZ201-999 |
| الوصف: | Purpose. Jiawei-Huang Lian-Gan Jiang decoction (JWHLGJD) was developed to treat and prevent the patients with colorectal adenomas (CRA) in China. This study is aimed to discover JWHLGJD’s active compounds and demonstrate mechanisms of JWHLGJD against CRA through network pharmacology and molecular docking techniques. Methods. All the components of JWHLGJD were retrieved from the pharmacology database of Traditional Chinese Medicine Systems Pharmacology (TCMSP). The GeneCards database, the Online Mendelian Inheritance in Man database (OMIM), the DrugBank database, and PharmGKB were used to obtain the genes matching the targets. Cytoscape created the compound-target network. The network of target protein-protein interactions (PPI) was constructed using the STRING database. Gene Ontology (GO) functional and the Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathways involved in the targets were analyzed by using the DAVID database. Cytoscape created the component-target-pathway (C-T-P) network. AutoDock Vina software was used to verify the molecular docking of JWHLGJD components and key targets. Core genes linked with survival and tumor microenvironment were analyzed through the Kaplan–Meier plotter and TIMER 2.0 databases, respectively. Results. Compound-target network mainly contained 38 compounds and 130 targets of the JWHLGJD associated with CRA. TP53, MAPK1, JUN, HSP90AA1, and AKT1 were identified as core targets by the PPI network. KEGG pathway shows that the pathways in cancer, lipids, and atherosclerosis, PI3K-Akt signaling pathway and MAPK signaling pathway, are the most relevant pathways to CRA. The C-T-P network suggests that the active component in JWHLGJD is capable of regulating target genes of these related pathways. The results of molecular docking showed that berberine and stigmasterol were the top two compounds of JWHLGJD, which had high affinity with TP53 and MAPK1, respectively. And, MAPK1 exerted a more significant effect on the prognosis of adenocarcinoma, for it was highly associated with ... |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 1741-4288 |
| Relation: | http://dx.doi.org/10.1155/2022/8211941; https://doaj.org/toc/1741-4288; https://doaj.org/article/959b722b229e41f4bd69b4aa8d04f799 |
| DOI: | 10.1155/2022/8211941 |
| الاتاحة: | https://doi.org/10.1155/2022/8211941 https://doaj.org/article/959b722b229e41f4bd69b4aa8d04f799 |
| رقم الانضمام: | edsbas.81B06E42 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 17414288 |
|---|---|
| DOI: | 10.1155/2022/8211941 |