网络药理学揭示了蛇床子治疗特应性皮炎的作用机制。
Network Pharmacology Revealed the Mechanisms of Action of Sieb on Atopic Dermatitis.
作者信息
Wang Tianyi, You Wang, Zhao Linna, Zhang Bingxin, Wang Hongmei
机构信息
Department of Dermatology, First Teaching Hospital of Tianjin University of TCM, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, People's Republic of China.
Department of Internal Medicine, Hexi Hospital of TCM, Tianjin, People's Republic of China.
出版信息
Clin Cosmet Investig Dermatol. 2023 Mar 13;16:651-658. doi: 10.2147/CCID.S403736. eCollection 2023.
AIM
The application of network analysis algorithms promoted the development of network pharmacology. This study aimed to combine network pharmacology and signed random walk with restart (SRWR) to reveal the mechanism by which Sieb (LES) exerts effects on atopic dermatitis (AD).
METHODS
The compounds and targets of LES were retrieved from Traditional Chinese Medicine Integrated Database (TCMID) and Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), and important compounds and targets were identified by intersection analysis and protein-protein interaction (PPI) network.
RESULTS
We found that active LES-derived compounds such as caffeic acid, Isovaleric acid, Arnebinol, and Alannan may inhibit PTGS2, HSP90AA1 and MAPK14, which are key mediators involved in PI3K-Akt pathway, vascular endothelial growth factor signaling pathway, Fc epsilon RI signaling pathway, and calcium signaling pathway.
CONCLUSION
The application of SRWR could identify potential targets of LES with a low false-positive rate and help elucidate the mechanism of action of traditional Chinese medicine.
目的
网络分析算法的应用推动了网络药理学的发展。本研究旨在将网络药理学与带重启的符号随机游走（SRWR）相结合，以揭示蛇床子（LES）对特应性皮炎（AD）发挥作用的机制。
方法
从中药综合数据库（TCMID）和中药系统药理学数据库与分析平台（TCMSP）中检索LES的化合物和靶点，并通过交集分析和蛋白质 - 蛋白质相互作用（PPI）网络确定重要化合物和靶点。
结果
我们发现，咖啡酸、异戊酸、蛇床子素和丙氨酸等活性LES衍生化合物可能抑制PTGS2、HSP90AA1和MAPK14，这些是参与PI3K - Akt通路、血管内皮生长因子信号通路、FcεRI信号通路和钙信号通路的关键介质。
结论
SRWR的应用可以以低假阳性率识别LES的潜在靶点，并有助于阐明中药的作用机制。
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