文献类型： 外文期刊

作者： Zhang, Chunli ¹ ; Tian, Xi ² ; Zhang, Huiyi ² ; Wei, Jinhuan ² ; Cui, Qingfei ⁴ ; Xing, Yiqi ⁵ ; Yang, Mengxin ² ; Li, Wenyu ² ; Wang, Jiayi ² ; Chen, Xueyi ² ; Du, Yingfeng ² ; Jin, Yiran ⁶ ;

作者机构： 1.Hebei Med Univ, Dept Plast Surg, Hosp 2, Shijiazhuang 050000, Hebei, Peoples R China

2.Hebei Med Univ, Sch Pharm, Dept Pharmaceut Anal, Shijiazhuang 050017, Hebei, Peoples R China

3.Hebei Acad Agr & Forestry Sci, Inst Cash Grop, Shijiazhuang 050051, Hebei, Peoples R China

4.Shijiazhuang Yiling Pharmaceut Co Ltd, Shijiazhuang Biomed Acad Workstat, Shijiazhuang 050035, Hebei, Peoples R China

5.Hebei Vocat Univ Ind & Technol, Architectural Engn Inst, Shijiazhuang 050091, Hebei, Peoples R China

6.Hebei Med Univ, Second Hosp, Dept Pharm, Shijiazhuang 050000, Hebei, Peoples R China

关键词： Zhimu-Chuanbeimu; Asthma; Serum pharmacochemistry; Network pharmacology; Molecular docking

期刊名称：JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS （ 影响因子：3.1； 五年影响因子：3.1 ）

ISSN： 0731-7085

年卷期： 2025 年 266 卷

页码：

收录情况： SCI

摘要： In traditional Chinese Medicine, Zhimu-Chuanbeimu (ZC) is one of the most classical herb pairs used in the treatment of lung diseases such as asthma. This study aimed to elucidate its specific components and potential mechanisms involved in treating asthma by altering the immune microenvironment. A systematic analysis of the chemical substance and absorbent components were conducted using UHPLC-Q-TOF-MS. Subsequently, a targeted network pharmacology based on serum pharmacochemistry was employed to predict core targets and key active ingredients. By combining microarray data analysis and gene set enrichment analysis, key targets and immune environment changes were further clarified. Ultimately, the prediction mechanism was validated through molecular docking, molecular dynamic simulations, and in vivo experiment validation. Consequently, sixty-seven prototype substances were identified in the blood samples of normal rats. Through network pharmacology and microarray data analysis, CCND1 and ESR1 were selected as key targets. Gene set enrichment analysis indicated that the expression of CCND1 was correlated with T helper cells, while the expression of ESR1 was positively correlated with mast cells. Additionally, the molecular docking and molecular dynamic simulations effectively supported the binding affinity between puqienine C and markogenin with the binding pockets of CCND1 and ESR1. Finally, in vivo experiments revealed that ZC extract could improve airway hyperresponsiveness, pulmonary inflammatory infiltration, the expression of CCND1/ESR1 and Th1/Th2/Th17/Treg imbalance in OVA-induced asthma rats. In conclusion, this research uncovered the pharmacodynamic foundation of ZC and its potential multifaceted pharmacological impacts, indicating that its potential anti-asthma mechanism might involve the modulation of immune cells and associated inflammatory pathways. Moreover, it provided a benchmark for enhancing asthma treatment protocols.