系统药理学
药理学
作用机理
小桶
药品
疾病
机制(生物学)
萎缩性胃炎
计算生物学
对接(动物)
生物信息学
医学
交互网络
生物
慢性胃炎
信号转导
药物相互作用
药物发现
系统生物学
受体
药物靶点
化学
作者
Weiyan Wu,Siyu Chen,Yucheng Xia,Zixiao Jiang,Tiandong Lin,Mingming Zhao,Yangyang Liu
标识
DOI:10.36721/pjps.2025.38.5.reg.14241.1
摘要
Chronic atrophic gastritis (CAG) is a long-term inflammatory condition of the gastric mucosa characterized by glandular atrophy, intestinal metaplasia and reduced acid secretion, often considered a precancerous lesion of the stomach. This study utilized a combined network pharmacology and molecular docking approach to elucidate the mechanisms of moxibustion therapy against CAG. Disease-related targets were retrieved from GeneCards, OMIM, PharmaGkb, TTD and DrugBank, while moxibustion's active components and their targets were sourced from TCMSP database. Overlapping targets between the drug and disease were identified, representing potential therapeutic targets. Cytoscape was employed to construct component-target networks and R was used for GO and KEGG enrichment analyses. STRING database facilitated protein-protein interaction network construction and identification of key targets. Molecular docking, via AutoDock, validated component-target interactions. Eighteen common targets were identified from 379 drug targets and 361 disease targets, linked to 18 active components. Topological analysis pinpointed TP53, IL-1β, PTGS2, CXCL8, CASP8 and STAT1 as crucial targets. KEGG enrichment revealed involvement of TNF-κB, p53, IL-17 and Toll-like receptor signaling pathways. Molecular docking confirmed stable binding between key components and targets. These findings suggest that moxibustion's therapeutic effects on CAG are mediated through modulation of immune, inflammatory and tumor-related pathways.
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