Zhang Weixin, Zhou Qing, Chen Xiaoning, Zhao Jingjing, Shi Jun, Chen Li
Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing City, People's Republic of China.
Ann Med Surg (Lond). 2023 May 15;85(6):2662-2676. doi: 10.1097/MS9.0000000000000804. eCollection 2023 Jun.
Decoction (YTD), which originated from the theory of lung deficiency and cold in Chinese medicine, is a common Chinese herbal formula used against allergic rhinitis (AR). In our otolaryngology department, this prescription has been used to treat so many AR patients with lung-deficiency-related colds for nearly 30 years. However, the mechanism of its ingredient-target is still unclear. Based on our early experiments and clinical case studies, in this paper, we explore the mechanism of YTD systematically against AR using bioinformatic methods of network pharmacology and molecular docking.
The Traditional Chinese Medicine Systems Pharmacology (TCMSP) database was used to screen the active ingredients and targets of YTD. The AR-related targets were retrieved from OMIM, GeneCards, TTD, DisGeNET, DrugBank databases, and PharmGKB. The Venn database was used to screen the potential core targets. After that, the STRING database was used to construct the protein-protein interaction (PPI) of the core targets and then visualize it by Cytoscape. The Gene Ontology (GO)-enriched processes and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of the core targets were analyzed by the KOBAS-I database and Sangerbox. Molecular docking was used to assess interactions between potential targets and active ingredients.
A total of 169 active ingredients and 238 targets of YTD were predicted. YTD shared 115 common targets with AR from the Venn database. The GO-enriched processes and KEGG pathways indicate that genes involved in inflammation and oxidative stress, accompanying the MAPK signaling pathway, Th17 cell differentiation, IL-17 signaling pathway, and Th1 and Th2 cell differentiation, may play a mediated effect in YTD. The docking results showed good binding ability between the active ingredients and the selected targets.
Our study systematically indicated the underlying mechanism of YTD against AR from the perspective of bioinformatics. By studying the active ingredients of YTD, we obtained molecular mechanisms and established a reliable method and molecular theoretical basis for the sensible development of Chinese medicine in the treatment of AR.
玉屏风汤(YTD)源自中医肺虚感冒理论,是治疗过敏性鼻炎(AR)常用的中药方剂。在我们耳鼻喉科,该方剂已用于治疗众多与肺虚相关感冒的AR患者近30年。然而,其成分-靶点作用机制仍不清楚。基于我们早期的实验和临床病例研究,本文运用网络药理学和分子对接的生物信息学方法,系统地探究玉屏风汤治疗AR的机制。
利用中药系统药理学(TCMSP)数据库筛选玉屏风汤的活性成分和靶点。从OMIM、GeneCards、TTD、DisGeNET、DrugBank数据库和PharmGKB中检索AR相关靶点。使用Venn数据库筛选潜在核心靶点。之后,利用STRING数据库构建核心靶点的蛋白质-蛋白质相互作用(PPI)网络,并通过Cytoscape进行可视化。通过KOBAS-I数据库和Sangerbox分析核心靶点的基因本体(GO)富集过程和京都基因与基因组百科全书(KEGG)通路。采用分子对接评估潜在靶点与活性成分之间的相互作用。
共预测出玉屏风汤169种活性成分和238个靶点。玉屏风汤与Venn数据库中的AR共有115个共同靶点。GO富集过程和KEGG通路表明,参与炎症和氧化应激的基因,伴随丝裂原活化蛋白激酶(MAPK)信号通路、辅助性T细胞17(Th17)细胞分化、白细胞介素-17(IL-17)信号通路以及Th1和Th2细胞分化,可能在玉屏风汤中发挥介导作用。对接结果显示活性成分与所选靶点之间具有良好的结合能力。
我们的研究从生物信息学角度系统地揭示了玉屏风汤治疗AR的潜在机制。通过研究玉屏风汤的活性成分,我们获得了分子机制,为中药合理开发治疗AR建立了可靠的方法和分子理论基础。