Duan Fanglin, Zhang Li-Xue, Naveed Muhammad, Wu Peifeng, Yu Yao, Ahmad Muhammad Zia, Dai Dongfang, Bibi Jannat, Li Fenghui, Li Changxing
Department of Human Anatomy, Medical College of Qinghai University, Xining, China.
School of Medicine, Northwest Minzu University, Lanzhou, China.
J Evid Based Integr Med. 2025 Jan-Dec;30:2515690X251372707. doi: 10.1177/2515690X251372707. Epub 2025 Sep 4.
BackgroundThe Tibetan medicine Ershiwuwei Guijiu Pill (EWGP), a classic Tibetan medicine prescription for the treatment of postmenopausal osteoporosis (PMOP) in the Qinghai-Tibet region, has attracted extensive attention due to its curative effects on gynecological diseases. However, its chemical ingredients and molecular mechanism are still unclear.Aim of the studyTo analyze the chemical constituents and effective serum chemical metabolites of EWGP and to explore the molecular mechanism of EWGP in treating PMOP through network analysis and experimental validation.MethodsThe ethanol extract of EWGP and its drug-containing serum were detected by liquid chromatography-mass spectrometry (LC-MS), and the chemical constituents were analyzed and identified. SwissTarget prediction was used to predict the corresponding potential target genes of the identified chemical components. Thereafter, a visualization network of the components and corresponding targets was constructed with Cytoscape software. Moreover, a specific disease database for animals was used to search and filter for osteoporosis (OP) targets, and a drug-disease target protein-protein interaction (PPI) network was constructed. Cytoscape 3.7.0 was used for visualization and cluster analysis, and R Studio was used for GO and KEGG enrichment analysis. AutoDock Tools were applied for molecular docking of the serum metabolites and specific target proteins. The potential mechanism of EWGP in preventing and treating PMOP was predicted by network pharmacology analysis and was experimentally studied and verified and .ResultsA total of 199 chemical substances were identified in the ethanol extract, and 11 were found in the serum. A total of 419 predicted targets and 128 target genes related to osteoporosis were screened. There were 16 common targets identified between the predicted targets and OP genes. Following the enrichment analysis, 16 KEGG signaling pathways and 63 GO biological process items were identified. The results of molecular docking showed that the main active compounds may be Protopine, Hetisine, Piperine, Visaminol, Boldine, and Trigonelline, and the specific targets may be CYP17A1, ESR2, MAPK14, and the vitamin D receptor (VDR). The results of cell and animal experiments showed that EWGP may improve bone metabolism via estrogen and calcium signaling pathways regulated by estrogens and calcium ions.ConclusionsEWGP contains multiple herbal drugs and treats PMOP through multiple targets and signaling pathways. We preliminarily tested the chemical compounds of EWGP, especially in the serum, to determine the chemical metabolites of EWGP and revealed the molecular mechanism of EWGP in preventing and treating PMOP; moreover, we used computer-virtual molecular docking and experiments for preliminary verification of the core targets of network pharmacology analysis.
背景
藏药二十五味鬼臼丸(EWGP)是青藏高原地区治疗绝经后骨质疏松症(PMOP)的经典藏药方剂,因其对妇科疾病的疗效而备受关注。然而,其化学成分和分子机制仍不清楚。
研究目的
分析EWGP的化学成分和有效血清化学代谢产物,并通过网络分析和实验验证探索EWGP治疗PMOP的分子机制。
方法
采用液相色谱 - 质谱联用(LC - MS)检测EWGP乙醇提取物及其含药血清,分析鉴定化学成分。利用SwissTarget预测软件预测鉴定出的化学成分对应的潜在靶基因。之后,用Cytoscape软件构建成分与相应靶标的可视化网络。此外,利用动物特定疾病数据库搜索筛选骨质疏松症(OP)靶标,构建药物 - 疾病靶标蛋白 - 蛋白相互作用(PPI)网络。用Cytoscape 3.7.0进行可视化和聚类分析,用R Studio进行GO和KEGG富集分析。应用AutoDock Tools对血清代谢产物与特定靶蛋白进行分子对接。通过网络药理学分析预测EWGP防治PMOP的潜在机制,并进行实验研究与验证。
结果
在乙醇提取物中鉴定出199种化学物质,在血清中发现11种。共筛选出419个预测靶标和128个与骨质疏松相关的靶基因。预测靶标与OP基因之间有16个共同靶标。富集分析后,鉴定出16条KEGG信号通路和63个GO生物学过程条目。分子对接结果表明,主要活性化合物可能是原阿片碱、海替辛、胡椒碱、维司明醇、波耳定碱和胡芦巴碱,特定靶标可能是CYP17A1、ESR2、MAPK14和维生素D受体(VDR)。细胞和动物实验结果表明,EWGP可能通过雌激素和钙离子调节的雌激素和钙信号通路改善骨代谢。
结论
EWGP含有多种草药,通过多个靶点和信号通路治疗PMOP。我们初步检测了EWGP的化合物成分,尤其是血清中的成分,以确定EWGP的化学代谢产物,并揭示了EWGP防治PMOP的分子机制;此外,我们利用计算机虚拟分子对接和实验对网络药理学分析的核心靶点进行了初步验证。