| 刊名 | Medicinal Plant |
| 作者 | Yujia HUANG， Xiaoyi HUANG， Xinyu XU， Qianqian QIN， Yasi NONG， Yanyang LI， Wenyong FENG， Chunxiu YIN， Kang LUO， Xin XIE， Xiaojin HUANG， Suoyi HUANG， Juan ZHONG |
| 作者单位 | College of Clinical Medicine, Youjiang Medical University for Nationalities； College of Basic Medicine, Youjiang Medical University for Nationalities； College of Public Health and Management, Youjiang Medical University for Nationalities； College of Pharmacy, Youjiang Medical University for Nationalities； Key Laboratory of China’s Colleges for the Study of Characteristic Ethnic Medicine in Youjiang River Basin； College of Life Sciences, Youjiang Medical University for Nationalities |
| DOI | 10.19601/j.cnki.issn2152-3924.2024.04.003 |
| 年份 | 2024 |
| 刊期 | 4 |
| 页码 | 11-15 |
| 关键词 | Gegen Qinlian Decoction, Type 2 diabetes mellitus complicated by non-alcoholic fatty liver disease, Network pharmacology |
| 摘要 | [Objectives] To explore the mechanism of Gegen Qinlian Decoction in treating type 2 diabetes mellitus (T2DM) complicated with non-alcoholic fatty liver disease (NAFLD) by analyzing the effective components of Gegen Qinlian Decoction. [Methods] TCMSP database was used to analyze the active components of Gegen Qinlian Decoction, and pubchem and Swiss ADME databases were also used to predict drug targets, extract T2DM complicated with NAFLD targets from OMIM and Genecards databases. Venny plot was drawn to obtain intersection targets, and finally Cytoscape was used to make core target maps and drug-target-disease network maps.Using DAVID and Metascape database to analyze the intersection targets, the gene ontology information of Go and KEGG was obtained.Microbial informatics technology was used to visualize GO, and Cytoscape was used to make drug-target-disease network map-enrichment pathway map. [Results] The network pharmacological analysis showed that Gegen Qinlian Decoction acted on the key targets of type 2 diabetes mellitus complicated with non-alcoholic fatty liver disease, such as ALB and ALT1, through many components, and achieved the purpose of treating this disease. The chemical constituents of the drug include formononetin, 5’-hydroxyisomucronulatol-2’, 5’-2-O-glucoside, cholesteryl laurate, isoliquiritigenin, etc. [Conclusions] This study provides a new idea and theoretical support for future drug research and clinical practice. |
