网络药理学研究拟甾体坏死病生物碱抗炎作用靶点及机制

Pub Date : 2023-08-28 DOI:10.1590/s2175-97902023e22394
Qijia Xu, Kai Wang, Yaoyao Xu, Yinhe Gao, Ge Wang, Sheng Liu, Feng Zhao
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引用次数: 0

摘要

本研究旨在通过网络药理学的方法探讨拟甾体坏死药抗炎的分子机制。为中医多靶点、多渠道治疗炎症提供参考。通过筛选分析,获得了11种有效成分和109个抗炎预测靶点,构建了化合物靶点网络。VEGFA、TLR4和STAT3等靶点可能起关键作用。网络富集分析表明,109个潜在靶点构成了多条与炎症密切相关的通路或炎症反应,包括NF-κB信号通路和MAPK信号通路。对接结果显示Picrasidine Y与炎症因子VEGFA的结合能最高。本研究预测了Picrasma生物碱中多种活性化合物在炎症反应中的作用,为Picrasma的抗炎机制提供了理论依据。
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Research on Anti-inflammatory Targets and Mechanisms of alkaloids in Picrasma quassioides Benn Through Network Pharmacology
This study aimed to investigate the molecular mechanism of Picrasma quassioides Benn against inflammation by means of network pharmacology. The paper will provide a reference for multi-target and multi-channel treatment of inflammation with traditional Chinese medicine. Through screening and analysis, 11 active ingredients and 109 anti-inflammation prediction targets were obtained and constructed a compound-target network. The targets such as VEGFA, TLR4 and STAT3 may play a crucial role. Network enrichment analysis showed that the 109 potential targets constitute a number of pathways or inflammatory reactions closely related to inflammation, including NF-κB signaling pathway and MAPK signaling pathway. The docking results indicated that the binding energy of Picrasidine Y and the inflammatory factors VEGFA is the highest. This study predicted the role of multiple active compounds in the alkaloids of Picrasma in the inflammatory response, and provided a theoretical basis for the anti-inflammatory mechanism of Picrasma.
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