UPLC-Q-TOF-MS/MS Combined with Network Pharmacology and Molecular Docking Revealed the Mechanism of Zhi Ke He Ji Oral Solution for the Treatment of Pneumonia.

IF 1.7 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Changshuo Yang, Yan Wu, Jing Zhang, Wenxiang Ma, Liang Wang
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引用次数: 0

Abstract

Introduction: This study aimed to clarify the multi-target mechanism of Zhi Ke He Ji Oral Solution (ZKHJ) in anti-pneumonia therapy by integrating UPLC-Q-TOF-MS/MS, network pharmacology, and molecular docking techniques.

Methods: The main chemical constituents of ZKHJ were identified via UPLC-Q-TOF-MS/MS combined with multiple databases. Pneumonia-related targets were retrieved from the OMIM and GeneCards databases, and overlapping targets were screened using a Venn diagram. Cytoscape 3.7.2 was employed to construct a "component-target-pathway" network, while core targets were analyzed for GO functional enrichment and KEGG pathway enrichment. AutoDock- Tools 1.5.6 was used for molecular docking validation to explore potential anti-pneumonia mechanisms, and PyMOL 3.1 was applied to visualize and analyze the resulting complexes.

Results: A total of 114 compounds in ZKHJ were identified by UPLC-Q-TOF-MS/MS, with flavonoids and alkaloids as the main active components. Network pharmacology constructed a "ZKHJ-constituents-targets-pneumonia" network, predicting 223 potential targets; 44 core targets were further screened via topological parameters (Degree, betweenness centrality, closeness centrality) in the PPI network. GO functional enrichment yielded 1,220 significant terms, and KEGG pathway enrichment identified 214 relevant pathways. Molecular docking confirmed that active constituents of ZKHJ could stably bind to core targets (TNF, GAPDH, AKT1, STAT3, NFKB1).

Discussion: An integrated workflow of "literature mining-mass spectrometry-database" was established, constructing a traceable and expandable database of ZKHJ's chemical constituents and corresponding targets. This addresses the gap in standardized chemical profiling of complex herbal formulations and provides a one-stop information source for subsequent studies. Network pharmacology combined with molecular docking revealed that ZKHJ exerts anti-pneumonia effects through a "multi-component, multi-target, multi-pathway" mechanism, linking traditional medicinal efficacy with modern molecular pharmacology. Identifying potential quality markers lays a foundation for ZKHJ standardization, which is an essential prerequisite for its translation into evidencebased medicine. Amid the growing burden of chronic respiratory diseases and drug-resistant bacteria, ZKHJ offers a novel strategy for pneumonia management, and the established workflow provides a replicable model for chemical profiling, mechanism exploration, and standardization of other herbal formulations to facilitate the modernization of traditional herbal medicine.

Conclusion: ZKHJ exhibits potent anti-pneumonia activity, primarily via its flavonoid and alkaloid components that modulate inflammatory and immune pathways. These findings provide a solid theoretical basis for the clinical application of ZKHJ in pneumonia prevention and treatment.

UPLC-Q-TOF-MS/MS结合网络药理学和分子对接揭示止咳合剂口服液治疗肺炎的作用机制
前言:本研究旨在结合UPLC-Q-TOF-MS/MS、网络药理学、分子对接等技术,阐明止咳和积口服液抗肺炎的多靶点机制。方法:采用UPLC-Q-TOF-MS/MS结合多个数据库对ZKHJ的主要化学成分进行鉴定。从OMIM和GeneCards数据库中检索肺炎相关靶点,并使用维恩图筛选重叠靶点。利用Cytoscape 3.7.2构建“component-target-pathway”网络,对核心靶点进行GO功能富集和KEGG通路富集分析。使用AutoDock- Tools 1.5.6进行分子对接验证,探索潜在的抗肺炎机制,使用PyMOL 3.1对得到的复合物进行可视化和分析。结果:经UPLC-Q-TOF-MS/MS鉴定,共鉴定出114个化合物,主要活性成分为黄酮类化合物和生物碱类化合物。网络药理学构建了“zkhj -成分-靶点-肺炎”网络,预测223个潜在靶点;通过PPI网络的拓扑参数(度、中间中心性、接近中心性)进一步筛选44个核心靶点。氧化石墨烯功能富集得到1220个显著项,KEGG途径富集鉴定出214个相关途径。分子对接证实ZKHJ的有效成分能够稳定结合核心靶点(TNF、GAPDH、AKT1、STAT3、NFKB1)。讨论:建立了“文献挖掘-质谱-数据库”集成工作流程,构建了ZKHJ化学成分及相应靶标可追溯、可扩展的数据库。这解决了复杂草药配方标准化化学分析的差距,并为后续研究提供了一站式信息来源。网络药理学结合分子对接发现,ZKHJ抗肺炎作用是通过“多组分、多靶点、多途径”的机制发挥的,将传统药效与现代分子药理学相结合。鉴别潜在的质量标记是ZKHJ标准化的基础,是其转化为循证医学的必要前提。在慢性呼吸道疾病和耐药菌负担日益加重的情况下,ZKHJ为肺炎管理提供了一种新的策略,建立的工作流程为其他草药配方的化学分析、机制探索和标准化提供了可复制的模型,促进了传统草药的现代化。结论:ZKHJ具有有效的抗肺炎活性,主要通过其类黄酮和生物碱成分调节炎症和免疫途径。本研究结果为中西医结合治疗肺炎的临床应用提供了坚实的理论依据。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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