Discussion on the mechanism of Tiaoqi Xiaowei decoction in the treatment of chronic atrophic gastritis based on network pharmacology and molecular docking: An observational study

Author:

Yang Ruwen1ORCID,Ouyang Jun1,Jiang Jiawei1,Zhao Yuanpei1,Wu Defeng1,Chen Dongmei1,Xi Biao1

Affiliation:

1. Department of Gastroenterology, Zhenjiang Hospital of Traditional Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Zhenjiang, Jiangsu, China.

Abstract

To explore the mechanism of Tiaoqi Xiaowei decoction in the treatment of chronic atrophic gastritis by network pharmacology and molecular docking. The main active components and targets of Tiaoqi Xiaowei decoction were obtained from TCMSP database. The databases of Disgenet, GeneCards, and OMIM were used to obtain chronic atrophic gastritis-related targets. The component–target–disease network was constructed by Cytoscape 3.7.1 software, and the protein–protein interaction network was constructed by String database. The core targets were screened by CytoNCA plug-in. Gene ontology analysis and Kyoto Encyclopedia of Genes and Genome pathway enrichment analysis were performed using the Metascape database. The core components and targets were subjected to molecular docking verification using AutoDock Tools 1.5.6 software, and the binding score was obtained. A total of 48 active components were identified, involving 82 action targets. Core active components such as quercetin, beta-sitosterol, kaempferol, luteolin, and naringenin, and core targets such as AKT1, TP53, VEGFA, TNF, IL6, and PTGS2 were obtained. A total of 188 signaling pathways were screened out, including cancer pathway, PI3K-Akt, IL-17, and TNF signaling pathway. Molecular docking results showed that the key components of Tiaoqi Xiaowei decoction had a favorable binding affinity with key targets. Tiaoqi Xiaowei decoction acts on multiple targets such as AKT1, TP53, VEGFA, TNF, IL6, PTGS2, and synergistically treats chronic atrophic gastritis by regulating inflammatory responses and tumor-related signaling pathways.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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